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        <titl>NSSO_50_Schedule_1_Household Consumer Expenditure</titl>
        <IDNo>DDI-IND-MOSPI-NSSO-50Rnd-Sch1.0-1993-94</IDNo>
      </titlStmt>
      <rspStmt>
        <othId role="Generation of study document" affiliation="Organisation for Economic Co-operation and Development (OECD), Paris and Computer centre MOSPI, India">
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            Shalini Gupta
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        <producer abbr="MOSPI, CC" affiliation="M" role="Documentation of the study">Computer Centre</producer>
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          2012-04-02
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  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>Household Consumer Expenditure: NSS 50th Round, Schedule 1, July 1993 - June 1994</titl>
        <altTitl>
          NSS 50th Round
        </altTitl>
        <IDNo>DDI-IND-MOSPI-NSSO-50Rnd-Sch1.0-1993-94</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI)">National Sample Survey Office</AuthEnty>
        <othId role="Finalisation of survey study" affiliation="GOI">
          <p>
            Governing council and Working Group
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="SDRD" affiliation="National Sample Survey Office" role="Questionnaire Desgn, Sampling methodology,Survey Reports  Questionnaire Desgn, Sampling methodology,Survey Reports  Questionnaire Desgn, Sampling methodology, Survey Reports">
          M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI)
        </producer>
        <producer abbr="FOD" affiliation="National Sample Survey Office" role="Field Work">
          Field Operations Division
        </producer>
        <producer abbr="DPD" affiliation="National Sample Survey Office" role="Data Processing">
          Data Processing Division
        </producer>
        <producer abbr="CC, MOSPI" affiliation="M/o Statistcs and Programme Implementation(MOSPI),Government of India (GOI)" role="Tabulation and Dissemination">
          Computer Centre
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          Nesstar Publisher
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        <fundAg abbr="MOSPI">M/o Statistics &amp; Programme Implementation, GOI</fundAg>
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      <distStmt>
        <contact affiliation="M/O Statistics &amp; PI, G/O India " URI="http://mospi.gov.in/">ADG, SDRD , NSSO</contact>
        <contact affiliation="M/O Statistics &amp; PI, G/O India " URI="http://mospi.nic.in/Mospi_New/site/home.aspx">
          DDG, Computer Centre
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      <serStmt>
        <serName>
          Socio-Economic/Monitoring Survey [hh/sems]
        </serName>
        <serInfo><![CDATA[The 50th round of NSS was the NSS Organisation's fifth quinquennial survey on consumer expenditure and employment-unemployment. According to a decision of the Governing Council of NSSO, consumer expenditure and employment surveys are carried out simultaneously every five years. The previous four rounds quinquennial surveys were the 27th (Oct. 1972 - Sept. 1973), the 32nd (July 1977 - June 1978), the 38th (Jan-Dec. 1983), and the 43rd (July 1987- June 1988). In other rounds of NSS, too, a consumer expenditure inquiry on a reduced scale is being carried out from the 42nd round (1986-87) onwards. From the 45th round onwards the subject coverage of this schedule has been expanded to include some important questions on employment so that an annual series of consumer expenditure and employment data is now available. While some of these smaller-scale surveys are spread over a full year and others over six months only, the quinquennial (full-scale) surveys have all been of a full year's duration. 

In the quinquennial surveys two separate schedules are canvassed - sch.1.0 for consumer expenditure and sch.10 for employment situation - in each sample household, enabling cross- tabulation of consumer  expenditure and employment data.

Schedule 1.0 primarily collects information on consumer expenditure data, along with some information on demographic particulars and household characteristics. A special feature of the consumer expenditure schedule used in the quinquennial rounds is the provision for simultaneous collection of data on consumption for a month and a year for certain items whose consumption at the household level does not have a monthly regularity, e.g. durable goods, clothing and footwear.

The survey period of the 50th round was from July 1993 to June 1994. The survey period of one year was divided into four sub- rounds of three months each and equal numbers of sample villages and blocks allotted to each sub-round.

Following usual NSS practice, the sample of villages and blocks in which the enquiry was carried out was drawn in the form of two independent sub-samples. Either of these sub-samples could be used to generate a valid set of estimates which might be regarded as the provisional results of the survey until such time as the final results, based on the entire sample, were available.

Using this data one can find out household consumer expenditure at state and all-India level, distributions of households and persons by value of monthly per capita consumer expenditure, averages (state and all-India) of monthly per capita consumer expenditure, the break-up of these average values by important heads of consumption, break-ups of quantity and value of per capita cereal consumption by cereal type (rice, wheat, etc.) etc. separately for rural and urban sectors. The schedule also collected some other household particulars including age, sex and educational level etc. of each household member.]]></serInfo>
      </serStmt>
      <verStmt>
        <version date="2012-04-02"></version>
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    </citation>
    <stdyInfo>
      <abstract>The National Sample Survey Organisation (NSSO) has been carrying out All-India surveys quinquennially on consumer expenditure and employment - unemployment. The 50th round (July 1993 - June 1994) was the Fifth quinquennial survey on Consumer Expenditure and Employment - Unemployment. The previous four quinquennial surveys were the 27th (Oct. 1972 - Sept. 1973), the 32nd (Jul.1977 - Jun. 1978), the 38th ( Jan. - Dec. 1983) and 43rd (Jul. 1987 - Jun. 1988) rounds. In other rounds of NSS, also, a consumer expenditure inquiry on a limited scale was being carried out from the 42nd round (1986-87) onwards. From the 45th round onwards the subject coverage of this schedule has been expanded to include some important questions on employment so that an annual series of consumer expenditure and employment data is now available. While some of these smaller-scale surveys are spread over a full year and others over six months only, the quinquennial (full-scale) surveys have all been of a full year's duration. Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. The imputed rent of owner-occupied houses is excluded from consumption expenditure. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure. The household consumer expenditure schedule used for the survey collected information on quantity and value of household consumption with a reference period of "last 30 days" for some items of consumption and "last 365 days" for some less frequently purchased items. To minimise recall errors, a very detailed item classification was, as usual, adopted to collect information, including 148 items of food, 13 items of fuel, 28 items of clothing, bedding and footwear, 18 items of educational and medical expenses, 52 items of durable goods, and about 85 other items. The schedule also collected some other household particulars including age, sex and educational level etc. of each household member.

The schedule design for the survey was more or less similar to that adopted in the previous quinquennial round. The field work for the survey was conducted, as usual, by the Field Operations Division of the Organisation. The collected data were processed by the Data Processing Division of NSSO and tabulated by the Computer Centre of Department of Statistics. The reports have been prepared by Survey Design &amp; Research Division (SDRD) of NSSO under the guidance of the Governing Council, NSSO.

Data layout of this round is not in accordance with the questionnaire. Some additional variables have been generated for tabulation which the users can ignore.</abstract>
      <sumDscr>
        <collDate date="1993-07-01" event="start" cycle="Sub round 1"/>
        <collDate date="1993-09-30" event="end" cycle="Sub round 1"/>
        <collDate date="1993-10-01" event="start" cycle="Sub round 2"/>
        <collDate date="1993-12-31" event="end" cycle="Sub round 2"/>
        <collDate date="1994-01-01" event="start" cycle="Sub round 3"/>
        <collDate date="1994-03-31" event="end" cycle="Sub round 3"/>
        <collDate date="1994-04-01" event="start" cycle="Sub round 4"/>
        <collDate date="1994-06-30" event="end" cycle="Sub round 4"/>
        <nation abbr="IND">India</nation>
        <geogCover>The survey period of the 50th round was from July 1993 to June 1994. The geographical coverage of the survey was to be the whole of the Indian Union except Ladakh and Kargil districts of Jammu &amp; Kashmir, 768 interior villages of Nagaland and 172 villages in Andaman &amp; Nicobar Islands which remain inaccessible throughout the year. However, certain districts of Jammu &amp; Kashmir viz., Doda, Anantnag, Pulwama, Srinagar, Badgam, Baramula and Kupwara, and Punjab's Amritsar district, had to be excluded from the survey due to unfavourable field conditions.</geogCover>
        <anlyUnit>Randomly selected households  based on sampling procedure and members of the household</anlyUnit>
        <universe>The survey used the interview method of data collection from a sample of randomly selected households and members of the household.</universe>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
      <notes><![CDATA[The NSSO surveys on consumer expenditure aim to measure the household consumer expenditure in quantitative terms disaggregated by various household characteristics . 

The data for this survey was collected in the NSS  Schedule 1.0 used for household consumer expenditure.  For this round, the schedule had 14 blocks.

Blocks 0, 1 and 2 -  were similar to the ones used in usual NSS rounds. These were used to record identification of sample households and particulars of field operations.

Block-3: Household characteristics like, household size, principal industry-occupation, social group, land possessed and cultivated, use of hired labour, monthly per capita expenditure etc. were recorded in this block.

Block-4: In this Block the detailed demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day etc. were recorded. Besides this, information on consumption of tobacco was also recorded in this block.

Block-5: In this block cash purchase and consumption of food, pan, tobacco, intoxicants and fuel and light during the last 30 days were recorded.

Block-6: Block 6 was used to record the information of cash purchase and consumption of clothing during the last 30 and 365 days.

Block-7 : Further probing questions on the cash purchase and consumption of footwear during the last 30 and 365 days were made in this block.

Block-8: - Expenditure (cash and kind) on the miscellaneous goods and services and rents & taxes during the last 30 days and expenditure (cash & kind) on educational and medical goods and services during the last 30 days and 365 days were recorded in blocks 8 and 8.1 respectively.

Block-9: In Block 9, questions were asked about expenditure (cash and kind) for the purchase and construction (including repair) of durable goods for domestic use during the last 30 and 365 days. 

Block-10: Block 10 was canvassed to record the perception of household regarding sufficiency of food. 

Block 11 - In this block insurance particulars of the household during the last 365 days were recorded.
 
Block 12 - In this block particulars of dwelling unit were recorded.

Block 13 - In this block particulars of ceremonies performed and meals served by the household during the last 30 and 365 days were recorded.

Block 14 - Contains the summary of consumer expenditure during the last 30 days.]]></notes>
      <subject>
        <keyword>Household</keyword>
        <keyword>Consumer Expenditure</keyword>
        <keyword>50th Round</keyword>
        <keyword>Schedule 1</keyword>
        <keyword>July 1993 - June 1994</keyword>
      </subject>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="NSS(FOD)" affiliation="MOSPI">
          NSSO(FOD)
        </dataCollector>
        <sampProc>The sample design adopted for this round of survey was similar to that followed in the past surveys in its general aspects. The general scheme was a two stage stratified design with the first stage units being villages in the rural areas and urban frame survey blocks (UFS) in the urban areas. The second stage units were the households.  

Sampling frame for first stage units:  
The  latest available  lists  of census villages (which are mostly  the  1981  census lists) constitute the sampling frame for the rural sector. For Nagaland, the villages located within 5kms of a bus route  constitute the  sampling frame whereas, for Andaman &amp; Nicobar  Islands,  the list of accessible villages constituted the sampling frame.   For the  urban  sector, the lists of NSSO Urban  Frame  Survey  (UFS) blocks have been considered as the sampling frame.  However,  for some  of  the newly declared towns of 1991 census for  which  UFS frame  has not been received, the lists of 1991 census  EBs  have  been considered as the sampling frame.

Region formation and stratification:
States were divided into regions by grouping contiguous districts similar in respect of  population density and cropping pattern. In rural sector each district was treated a separate  stratum if the population was below 2 million and where it exceeded 2 million, it was split into two or more strata. This cut off point of population was taken as 1.8 million ( in place of  2 million ) for the purpose of stratification for districts for which the 1981 census frame was used. In the urban sector, strata were formed, within each NSS region on the basis of population size class of towns. However, for towns with population of 4 lakhs or more the urban blocks were divided into two classes  viz. one consisting of blocks inhabited by affluent section of the population and the other consisting of the remaining blocks. 

Selection of first stage units :
Selection of sample villages was done circular systematically with probability proportional to population and sample blocks circular systematically with equal probability. Both the sample villages and the sample blocks were selected in the form of two or more independent sub-samples. In Arunachal Pradesh the procedure of cluster sampling has been followed. Further large villages/blocks having present population of 1200 or more were divided into a suitable number of hamlet- groups/ sub-blocks having equal population content. Two hamlet- groups were selected from the 
larger villages while one sub-block was selected in urban sector for larger blocks. 
                     
Selection of households :
While listing the households in the selected villages, certain relatively affluent households were identified and considered as second stage stratum 1 and the rest as second stage stratum 2. 

A total of 10 households were surveyed from the selected village/hamlet-groups, 2 from the first category and remaining from the second. 
Further in the second stage stratum-2, the households were arranged according to the means of livelihood. The means of livelihood were identified on the basis of the major source of income as  i) self-employed in non-agriculture, ii) rural labour and iii) others. The land possessed by the households was also ascertained and the frame for selection was arranged on the basis of this information.
The households were selected circular systematically from both the second stage strata.  

In the urban blocks a different method was used for arranging the households for selection. This involved the identification means of livelihood of households as any one of a) self-employed, b) regular salaried/wage earnings, c) casual labour, d) others. Further the average household monthly per capita consumer expenditure (mpce) was also ascertained. All households with MPCE of (i) Rs. 1200/- or more (in towns with population less than 10 lakhs or (ii) Rs. 1500/- or more (in towns with population 10 lakh or more) formed second-stage stratum 1 and the rest, second-stage stratum 2.The households of second-stage stratum 2 were arranged according to means of livelihood class and MPCE ranges before selection of sample households. A total of 10 households were selected from each sample block as follows 
(i)  For affluent strata/classes : 4 households from second- stage stratum 1 and 6 households from second-stage stratum 2
(ii) For other strata/classes :     2 households from second-stage  stratum 1 and 8 from second-stage stratum 2. 
Households were then selected  circular systematically with a random start.

Shortfall in the required number of household in any second-stage stratum was made up by increasing the quota for the other second stage stratum. 
 
A total of 7284 sample villages (Rural)   and 4792 sample blocks (Urban) were allotted in central sample. 6983 sample villages and 470 sample blocks were successfully surveyed covering 356351 persons in sample villages and 208389 persons in sample blocks.</sampProc>
        <deviat>
          There was no deviation from the original sampling design.
        </deviat>
        <collMode>Face-to-face [f2f]</collMode>
        <resInstru><![CDATA[Summary description of the schedule 1.0 on consumer expenditure for NSS 50th  round consisted of 14 blocks is given below. 
 
Blocks 0, 1 and 2 - identification of sample households and particulars of field operations.
Blocks 3.1 and 3.2  - Household Characteristics.
Block 3.3 - Particulars of goods and services received as pert of wages and salaries or perquisites and gifts given and gifts received by the household during the last 30 days 
Block 4  - Particulars of household members
Block 5 -  Cash purchase and consumption of food, pan, tobacco, intoxicants and fuel and light during the last 30 days
Block 6.1  - Cash purchase and consumption of clothing during the last 30 days
Block 6.2  - Cash purchase and consumption of clothing during the last 365 days
Block 7.1 - Cash purchase and consumption of footwear during the last 30 days 
Block 7.2 - Cash purchase and consumption of footwear during the last 365 days
Block 8 - Expenditure (cash and kind) on the miscellaneous goods and services and rents & taxes during the last 30 days
Block 8.1 - Expenditure (cash & kind) on educational and medical goods and services during the last 30 days and 365 days
Block 9.1 - Expenditure (cash and kind) for purchase and construction (including repair) of durable goods for domestic i:se during the last 30 days
Block 9.2 - Expenditure (cash and kind) for purchase and construction (including repair) of durable goods for domestic i:se during the last 365 days
Block 10 - Perception of household regarding sufficiency of food
Block 11 - Insurance particulars of the household during the last 365 days
Block 12 - Particulars of dwelling unit
Block 13.1 - Particulars of ceremonies performed and meals served by the household during the last 30 days
Block 13.2 - Particulars of ceremonies performed and meals served by the household during the last 365 days
Block 14 - Summary of consumer expenditure during the last 30 days]]></resInstru>
        <sources/>
        <weight><![CDATA[Two different weights have been  provided in each file in the data set. Details are as follows:-

1.  Weight   for each sub sample is stored in the variable name   : Wgt_SubSample
2. Combined subsample  weight   is stored in  the variable name : Wgt_Combined]]></weight>
      </dataColl>
    </method>
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      <useStmt>
        <contact affiliation="M/O Statistics and Programme Implementation" URI="http://mospi.nic.in/Mospi_New/site/home.aspx" email="nssodata@gmail.com">
          Computer Centre
        </contact>
        <conditions>
          Validated unit level data relating to various survey rounds are available on CD-ROMS which can be obtained from the Deputy Director General, Computer Centre, M/O Statistics and PI, East Block No. 10 R.K. Puram, New Delhi-110066 by remitting the price along with packaging and postal charges as well as giving an undertaking duly signed in a specified format.The amount is to be remitted by way of demand draft drawn in favour of Pay &amp; Accounts Officer, Ministry of Statistics &amp; Programme Implementation, payable at New Delhi.
        </conditions>
        <disclaimer>
          The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
        </disclaimer>
      </useStmt>
    </dataAccs>
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        Blocks 1,2,3,10,11,12,13_Household characteristics.NSDstat
      </fileName>
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        This data file contains records on household characteristics from various blocks. Blocks 0, 1 and 2 record identification of sample households and particulars of field operations. Household characteristics like, household size, principal industry-occupation, social group, land possessed and cultivated, use of hired labour, monthly per capita expenditure etc. have been recorded in block 3. Block 10 records the perception of household regarding sufficiency of food. Insurance particulars of the household during the last 365 days have been recorded in block 11. Particulars of dwelling unit have been recorded in block 12. Particulars of ceremonies performed and meals served by the household have been recorded in block 13.
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        Block 3pt3 - Household gift records.NSDstat
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        This file contains household gift records.
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        Block 4 - Person records.NSDstat
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        In this Block the detailed demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day etc. were recorded. Besides this information on consumption of tobacco was also recorded in this block.
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        Block 5 - Monthly household expenditure on food and non food items.NSDstat
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      <fileCont>
        In this block cash purchase and consumption of food, pan, tobacco, intoxicants and fuel and light during the last 30 days were recorded.
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        Block 6 - Household expenditure on clothing.NSDstat
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      <fileCont>
        Block 6 records the information of cash purchase and consumption of clothing during the last 30 and 365 days.
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      <fileName>
        Block 7 - Household expenditure on footwear.NSDstat
      </fileName>
      <fileCont>
        Further probing questions on the cash purchase and consumption of footwear during the last 30 and 365 days were made in this block.
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        Block 8 - Monthly household expenditure on misc goods and services.NSDstat
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        Expenditure on the miscellaneous goods and services and rents &amp; taxes during the last 30 days have been recorded in block 8.
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        Block 8pt1 - Household expenditure on education and medical goods and services.NSDstat
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      <fileCont>
        Expenditure on educational and medical goods and services during the last 30 days and 365 days have been recorded in block 8.1.
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      <fileName>
        Block 9 - Household expenditure on durable goods.NSDstat
      </fileName>
      <fileCont>
        This block contains information about expenditure on purchase and construction (including repair) of durable goods for domestic use.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F12" keyvar="V128 V144"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          1138392
        </caseQnty>
        <varQnty>
          29
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        NSSO
      </filePlac>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F7" URI="NSSO_50_Schedule_1_Consumer_Expenditure.Nesstar?Index=9&amp;Name=Block 13 - Household expenditure on ceremony">
    <fileTxt>
      <fileName>
        Block 13 - Household expenditure on ceremony.NSDstat
      </fileName>
      <fileCont>
        In this block particulars of ceremonies performed and meals served by the household during the last 30 and 365 days have been recorded.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F12" keyvar="V158 V170"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          13796
        </caseQnty>
        <varQnty>
          25
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        NSSO
      </filePlac>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F11" URI="NSSO_50_Schedule_1_Consumer_Expenditure.Nesstar?Index=10&amp;Name=Block 14 - Summary of household expenditure">
    <fileTxt>
      <fileName>
        Block 14 - Summary of household expenditure.NSDstat
      </fileName>
      <fileCont>
        Contains the summary of consumer expenditure during the last 30 days.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F12" keyvar="V422"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          115354
        </caseQnty>
        <varQnty>
          53
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        NSSO
      </filePlac>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="record" var="V426 V564 V429 V430 V432 V433">
      <labl>
        Geographical identifier
      </labl>
    </varGrp>
    <var ID="V563" name="HHID" files="F12" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a household
      </labl>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V425" name="Rd_Sch" files="F12" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round schedule
      </labl>
      <qstn>
        <qstnLit>
          Round schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Indicates the NSS  round number and schedule number of this survey.]]></txt>
      <catgry>
        <catValu>
          501
        </catValu>
        <catStat type="freq">
          115354
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V426" name="St_Region" files="F12" intrvl="discrete">
      <location StartPos="12" EndPos="14" width="3" RecSegNo="1"/>
      <labl>
        State - region
      </labl>
      <qstn>
        <qstnLit>
          State - Region
        </qstnLit>
        <ivuInstr>
          State and NSS region to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V564" name="State" files="F12" intrvl="discrete">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
        <ivuInstr>
          State to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal.
      </txt>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh             ]]></labl>
        <catStat type="freq">
          8552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh        ]]></labl>
        <catStat type="freq">
          1304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          4079
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Bihar    ]]></labl>
        <catStat type="freq">
          9134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Goa                      ]]></labl>
        <catStat type="freq">
          359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                          ]]></labl>
        <catStat type="freq">
          4591
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          1737
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh        ]]></labl>
        <catStat type="freq">
          2275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir      ]]></labl>
        <catStat type="freq">
          1348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          5086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          4385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh          ]]></labl>
        <catStat type="freq">
          8546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          9968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          1699
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          1595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          1427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          700
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          4375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          3993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          4896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          640
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          7943
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          2090
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          13461
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          7818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          230
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli    ]]></labl>
        <catStat type="freq">
          318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Daman & Diu               ]]></labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          1046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          310
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          390
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State - Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V427" name="S_Sample" files="F12" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sub - sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/block is central sample or state sample
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central
        </labl>
        <catStat type="freq">
          57613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State
        </labl>
        <catStat type="freq">
          57741
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V428" name="Sample" files="F12" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V429" name="Sector" files="F12" intrvl="discrete">
      <location StartPos="19" EndPos="19" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/ block is classified as Rural or Urban.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          69206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          46148
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V430" name="Stratum" files="F12" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each state two basic strata will be formed: (i) rural stratum comprising of all rural areas of the state and (ii) urban stratum comprising of all the urban areas of the state.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V431" name="S_Round" files="F12" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Sub round
      </labl>
      <qstn>
        <qstnLit>
          Sub - round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub Round 1
        </labl>
        <catStat type="freq">
          28457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub Round 2
        </labl>
        <catStat type="freq">
          28453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub Round 3
        </labl>
        <catStat type="freq">
          28573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub Round 4
        </labl>
        <catStat type="freq">
          29871
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V432" name="FSU_Srl_No" files="F12" intrvl="discrete">
      <location StartPos="23" EndPos="27" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector.  However, for some of the newly declared towns  of 1991 census for which UFS frame  has not been received, the  1991 census enumeration blocks are the first-stage units.This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V433" name="Second_Stratum" files="F12" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum "1''or "2"
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V434" name="HH_No" files="F12" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V435" name="Level" files="F12" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          115354
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V436" name="Month_Yr_Code" files="F12" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Month / Year Code
      </labl>
      <qstn>
        <qstnLit>
          Month / Year Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V437" name="B4_q1" files="F12" intrvl="discrete">
      <location StartPos="34" EndPos="36" width="3" RecSegNo="1"/>
      <labl>
        Person Serial Number
      </labl>
      <qstn>
        <qstnLit>
          Person Serial Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V438" name="B1_q14" files="F12" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Survey Sequence
      </labl>
      <qstn>
        <qstnLit>
          Survey Sequence
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The information as to which of two schedules is canvassed first has been recorded in terms of 2 codes against this item.  Code 1 has been recorded if this sched­ule i.e. schedule 1.0, is canvassed first, otherwise code 2 has been recorded.  For this purpose, filling in of the major part of the schedule has been considered as 'canvassing' of the schedule.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V439" name="B1_q15" files="F12" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Informants Relation to Head
      </labl>
      <qstn>
        <qstnLit>
          What is your relationship to the head of the household?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The relation of the principal informant to the head of the household has been recorded in terms of codes against this item.  The relevant codes are :

            head of the household ............................  1
            other member of the household ............... 2
            others ..................................................... 9]]></txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head of household
        </labl>
        <catStat type="freq">
          77303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other member of the household
        </labl>
        <catStat type="freq">
          36243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1651
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V440" name="Resp_Code" files="F12" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        Response Code
      </labl>
      <qstn>
        <qstnLit>
          Response Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The entry against this item has been made after collecting all the required information for all the items in the schedule.  The entry has been in code on the basis of the impression formed by the investigator regarding overall quality of response of the informant and the informant's perception about the schedule.]]></txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          informant : cooperative and not busy : capable
        </labl>
        <catStat type="freq">
          75362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          informant : cooperative and not busy : not capable
        </labl>
        <catStat type="freq">
          19606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          informant : cooperative but busy
        </labl>
        <catStat type="freq">
          3499
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          informant : reluctant : schedule too long
        </labl>
        <catStat type="freq">
          14597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          fatigue due to responses given for Sch.
        </labl>
        <catStat type="freq">
          1560
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          other reason
        </labl>
        <catStat type="freq">
          511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V441" name="Survey_Code" files="F12" intrvl="discrete">
      <location StartPos="40" EndPos="40" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <qstn>
        <qstnLit>
          Survey Code
        </qstnLit>
        <ivuInstr>
          In case of a casualty, only block 0-2 were to be filled in and the word 'CASUALTY' was to be written in block capitals on the top of the front page of the schedule.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The item records whether the originally selected household or a substitute house­hold has been surveyed or no household could be surveyed.  The entries have been made in terms of codes.  Code 1 has been recorded when originally selected household is surveyed and code 2 has been recorded when a substitute household is surveyed.  If neither the originally selected household nor a substitute household could be surveyed, i.e. if the sample household is a casualty, code 3 has been recorded.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          original
        </labl>
        <catStat type="freq">
          112071
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          substitute
        </labl>
        <catStat type="freq">
          3215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          casualty
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V442" name="Substn_Code" files="F12" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Reason of 1st Substitute
      </labl>
      <qstn>
        <qstnLit>
          Reason of 1st Substitute
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        If the originally selected household could not be sur­veyed, irrespective of whether a substituted household could be surveyed or not, the reason for the one originally selected becoming a casualty has been recorded against this item in terms of codes.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not Reported Properly
        </labl>
        <catStat type="freq">
          112111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          informant busy
        </labl>
        <catStat type="freq">
          309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          members away from home
        </labl>
        <catStat type="freq">
          2168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          informant non-cooperative
        </labl>
        <catStat type="freq">
          563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          203
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V443" name="B2_q2" files="F12" intrvl="discrete">
      <location StartPos="42" EndPos="47" width="6" RecSegNo="1"/>
      <labl><![CDATA[Date of Survey  DDMMYY]]></labl>
      <qstn>
        <qstnLit><![CDATA[Date of Survey  DDMMYY]]></qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V566" name="B3_1_q1" files="F12" dcml="0" intrvl="contin">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Household Size
      </labl>
      <qstn>
        <qstnLit>
          How many members are there in the household?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The size of the household i.e. the total number of members normally residing together in the household surveyed have been recorded here.  

A group of persons normally living together and taking food from a common kitchen constitutes a household. The word "normally" means that temporary visitors are excluded but temporary stay-aways are included. Thus a son or daughter residing in a hostel for studies is excluded from the household of his/her parents, but a resident employee or resident domestic servant or paying guest (but not just a tenant in the house) is included in the employer/host's household. "Living together" is usually given more importance than "sharing food from a common kitchen" in drawing the boundaries of a household in case the two criteria are in conflict; however, in the special case of a person taking food with his family but sleeping elsewhere (say in a shop or a different house) due to space shortage, the household formed by such a person's family members is taken to include the person also. Each inmate of a mess, hotel, boarding and lodging house, hostel, etc. is considered as a single-member household except that a family living in a hotel (say) is considered as one household only; the same applies to residential staff of such establishments.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V445" name="B3_1_q2a" files="F12" intrvl="discrete">
      <location StartPos="50" EndPos="52" width="3" RecSegNo="1"/>
      <labl>
        Industry Occupation Code
      </labl>
      <qstn>
        <qstnLit>
          Which industry are you working in?
        </qstnLit>
        <ivuInstr><![CDATA[To determine the principal household industry-occupation, the general procedure to be followed is to list all the gainful occupations pursued by the members of the household excluding those employed by the household and paying guests (who in view of their starving and taking food in the household are considered its normal members) during the one year period preced­ing the date of survey, no matter whether such occupations are pursued by the members in their principal or subsidiary (on the basis of earnings) capacity.  Out of the occupations listed, that one which fetched the maximum earnings to the household during the last 365 days preceding the date of survey would be consid­ered as the principal household occupation.  It is quite possible that the household occupation, thus determined as the principal one, may be pursued in different industries by one or more members of the household.  In such cases, the particular industry out of all the different industries corresponding to the principal occupation, which fetched, the maximum earnings, should be con­sidered as the principal industry of the household.  In extreme cases, the earnings may be equal in two different occupations or industry occupation combinations.  By convention, in such cases, priority will be given to the occupation or industry-occupation of the senior most among the participating members.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The descrip­tion of the principal household industry occupation will be recorded in the space provided along with the item description.  The right hand side of item 2 has been divided into two lines.  The appropriate three digited industry code of the NIC 1987 will be recorded in the first line and the relevant occupation family of the NCO 1968 will be entered in the second line.

Refer to NIC codes in external resources.]]></txt>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl><![CDATA[            Growing of cereal crops (paddy, wheat, jowar, bajra, maize, ragi, barley, etc.)]]></labl>
        <catStat type="freq">
          51331
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          001
        </catValu>
        <labl><![CDATA[            Growing of pulses (arhar, gram, moong, urd, etc.).]]></labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          002
        </catValu>
        <labl><![CDATA[            Growing of cotton]]></labl>
        <catStat type="freq">
          576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          003
        </catValu>
        <labl><![CDATA[            Growing of jute, mesta, sann, hemp or other fibres]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          004
        </catValu>
        <labl><![CDATA[            Growing of oilseeds]]></labl>
        <catStat type="freq">
          617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          005
        </catValu>
        <labl><![CDATA[           Growing of sugarcane or sugarbeet]]></labl>
        <catStat type="freq">
          312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          006
        </catValu>
        <labl><![CDATA[           Growing of roots and tubers, vegetable,  sinjihara, chillies and spices (other than pepper and cardamom)]]></labl>
        <catStat type="freq">
          298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          007
        </catValu>
        <labl><![CDATA[            Floriculture and horticulture including tree nurseries]]></labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          008
        </catValu>
        <labl><![CDATA[           Growing of fodder crops]]></labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          009
        </catValu>
        <labl><![CDATA[            Agricultural production n.e.c]]></labl>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010
        </catValu>
        <labl><![CDATA[            Plantation of tea]]></labl>
        <catStat type="freq">
          513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          011
        </catValu>
        <labl><![CDATA[             Plantation of coffee]]></labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          012
        </catValu>
        <labl><![CDATA[             Plantation of rubber]]></labl>
        <catStat type="freq">
          259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          013
        </catValu>
        <labl><![CDATA[             Plantation of tobacco]]></labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          014
        </catValu>
        <labl><![CDATA[             Plantation of pepper and cardamom]]></labl>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          015
        </catValu>
        <labl><![CDATA[             Plantation of coconut and arecanut]]></labl>
        <catStat type="freq">
          1062
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          016
        </catValu>
        <labl><![CDATA[             Plantation of edible nuts (excluding coconut and groundnut)]]></labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          017
        </catValu>
        <labl><![CDATA[             Growing of fruits]]></labl>
        <catStat type="freq">
          206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          018
        </catValu>
        <labl><![CDATA[             Growing of ganja, cinchona and opium etc.]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          019
        </catValu>
        <labl><![CDATA[             Plantations n. e. c.]]></labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          020
        </catValu>
        <labl><![CDATA[             Cattle, breeding, rearing and ranching etc.;  production of milk]]></labl>
        <catStat type="freq">
          576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          021
        </catValu>
        <labl><![CDATA[             Goat breeding, rearing, ranching, etc.;  production of milk]]></labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          022
        </catValu>
        <labl><![CDATA[              Rearing of sheep and production of shorn wool]]></labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          023
        </catValu>
        <labl><![CDATA[              Rearing of horses, mules, camels and other pack animals]]></labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          024
        </catValu>
        <labl><![CDATA[              Rearing of pigs and other animals n. e. c.]]></labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          025
        </catValu>
        <labl><![CDATA[              Rearing of ducks, hens and other birds; production of eggs]]></labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          026
        </catValu>
        <labl><![CDATA[              Rearing of bees: production of honey and wax ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          027
        </catValu>
        <labl><![CDATA[              Rearing of silk-worms; production of cocoons and raw silk]]></labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          029
        </catValu>
        <labl><![CDATA[             Rearing  of livestock and production of livestock products n.e.c.]]></labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          030
        </catValu>
        <labl><![CDATA[             Pest destroying, spraying and pruning of infected stems, etc.]]></labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          031
        </catValu>
        <labl><![CDATA[            Operation of irrigation systems]]></labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          032
        </catValu>
        <labl><![CDATA[             Animal shearing and livestock services n.e.c. (other than veterinary services)]]></labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          033
        </catValu>
        <labl><![CDATA[             Grading of agricultural products or livestock]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          034
        </catValu>
        <labl><![CDATA[             Horticultural and nursery services]]></labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          035
        </catValu>
        <labl><![CDATA[             Soil conservation services]]></labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          036
        </catValu>
        <labl><![CDATA[             Scientific services like soil testing]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          037
        </catValu>
        <labl><![CDATA[             Soil desalination services]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          039
        </catValu>
        <labl><![CDATA[             Agricultural services n. e. c. threshing, land clearing ,and land draining services etc.]]></labl>
        <catStat type="freq">
          400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          040
        </catValu>
        <labl><![CDATA[             Hunting, trapping and game propagation other than for sports]]></labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          050
        </catValu>
        <labl><![CDATA[             Planting, replanting and conservation of forests]]></labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          051
        </catValu>
        <labl><![CDATA[             Logging felling and cutting of trees and preparation of rough, round, hewn or riven logs (including incidental hauling) ]]></labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          052
        </catValu>
        <labl><![CDATA[             Production of firewood/fuel wood (including charcoal by burning) by exploitation of forests]]></labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          053
        </catValu>
        <labl><![CDATA[            Gathering of fodder by exploitation of forests ]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          054
        </catValu>
        <labl><![CDATA[            Gathering of uncultivated materials such as gums, resins, lac, barks, munjh, herbs, honey, wild fruits, leaves etc, by exploitation of forests]]></labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          059
        </catValu>
        <labl><![CDATA[            Forestry services n.e.c.]]></labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          060
        </catValu>
        <labl><![CDATA[            Ocean, sea and coastal fishing ]]></labl>
        <catStat type="freq">
          367
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          061
        </catValu>
        <labl><![CDATA[            Inland water fishing]]></labl>
        <catStat type="freq">
          177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          062
        </catValu>
        <labl><![CDATA[           Pisciculture—rearing of fish, including fish hatcheries]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          063
        </catValu>
        <labl><![CDATA[         Collection of pearls, conches, shells, sponges and other sea products]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          064
        </catValu>
        <labl><![CDATA[        Cultivation of oysters for pearls]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          069
        </catValu>
        <labl><![CDATA[        Other allied activities and services incidental to fishing n.e.c.]]></labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl><![CDATA[        Mining and agglomeration of coal ]]></labl>
        <catStat type="freq">
          462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl><![CDATA[        Mining and agglomeration of lignite ]]></labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl><![CDATA[        Extraction and agglomeration of peat]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl><![CDATA[        Extraction of crude petroleum ]]></labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl><![CDATA[        Production of natural gas ]]></labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl><![CDATA[        Mining of iron ore ]]></labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl><![CDATA[        Mining of manganese ore]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl><![CDATA[        Mining of chromite]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl><![CDATA[        Mining of Bauxite]]></labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl><![CDATA[        Mining of precious/semi-precious metal ores]]></labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl><![CDATA[        Mining of copper ore]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl><![CDATA[        Mining of' lead and zinc ores]]></labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl><![CDATA[        Mining of  ilmenite, rutile, zircon and zirconium bearing ore]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl><![CDATA[        Mining of worfram and other tungsten bearing ores]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl><![CDATA[        Mining of tin bearing ores]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl><![CDATA[        Mining of metal ores other than iron ore or uranium group ores n.e.c.]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl><![CDATA[        Mining of uranium and thorium ores]]></labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl><![CDATA[        Mining and quarrying of rock aggregates, sand and clays]]></labl>
        <catStat type="freq">
          295
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl><![CDATA[        Mining/quarrying of minerals for construction other than rock aggregates, sand and clays]]></labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl><![CDATA[        Mining of fertilizer and chemical minerals]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl><![CDATA[        Mining of ceramic, refractory and glass minerals]]></labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl><![CDATA[        Salt mining and quarrying including crushing, screening and evaporating in pans]]></labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl><![CDATA[        Mining of mica]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl><![CDATA[        Mining of precious/semi-precious stones]]></labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl><![CDATA[        Mining of other non-metallic minerals n.e.c.]]></labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl><![CDATA[        Oil and gas field services, except exploration services]]></labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl><![CDATA[        Services incidental to mining such as drilling, shafting, reclamation of mines, etc]]></labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl><![CDATA[        Other mining services n.e.c.]]></labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl><![CDATA[        Slaughtering, preparation and  preservation of meat]]></labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl><![CDATA[        Manufacture of dairy products]]></labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl><![CDATA[        Canning and preservation of fruits and vegetables]]></labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl><![CDATA[         Processing, canning, and preserving of fish, Crustaceans  and similar foods]]></labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl><![CDATA[         Grain milling]]></labl>
        <catStat type="freq">
          463
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl><![CDATA[         Manufacture of bakery products]]></labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl><![CDATA[         Manufacture and refining of sugar (vacuum pan sugar factories)]]></labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl><![CDATA[         Production of indigenous sugar, 'boora", 'khandsari', 'gur', etc. from sugar-cane, palm juice, etc.]]></labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl><![CDATA[        Production of common salt]]></labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl><![CDATA[         Manufacture of cocoa products and sugar confectionery  (including sweet meats)]]></labl>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl><![CDATA[         Manufacture of hydrogenated  oils and vanaspati ghee etc.]]></labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl><![CDATA[         Manufacture of vegetable oils and fats (other than hydrogenated)]]></labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl><![CDATA[         Manufacture of animal oils and fats; manufacture of fish oil]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl><![CDATA[         Processing and blending of tea including manufacture of instant tea]]></labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl><![CDATA[         Coffee curing, roasting, grinding and belnding, etc- including manufacture of instant coffee]]></labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl><![CDATA[          Processing of edible nuts]]></labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl><![CDATA[           Manufacture of ice]]></labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl><![CDATA[           Manufacture of prepared animal and bird feed]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl><![CDATA[           Manufacture of starch]]></labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl><![CDATA[           Manufacture of food products n.e.c.]]></labl>
        <catStat type="freq">
          212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl><![CDATA[           Distilling,  rectifying  and   blending  of spirits;  ethyl alcohol production from fermented materials]]></labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl><![CDATA[           Manufacture of wines]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl><![CDATA[           Manufacture of malt liquors and malt]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl><![CDATA[           Production of country liquor (arrack and toddy etc)]]></labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl><![CDATA[           Manufacture of soft drinks and syrups]]></labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl><![CDATA[           Tobacco stemming, redrying and all "other operations connected with preparing raw leaf' tobacco]]></labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl><![CDATA[           Manufacture of bidi]]></labl>
        <catStat type="freq">
          517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl><![CDATA[           Manufacture of cigars, cigarettes, cheroots and cigarette tobacco]]></labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl><![CDATA[           Manufacture of 'snuff, 'zarda', chewing tobacco and other tobacco products n.e.c. (except  pan-masala containing tobacco)]]></labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl><![CDATA[           Manufacture of pan-masala. catechu ('kattha') and chewing lime]]></labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl><![CDATA[          Cotton ginning, cleaning and baling]]></labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl><![CDATA[          Cotton spinning other than in mills (charkha)]]></labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl><![CDATA[          Weaving and finishing of cotton khadi]]></labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl><![CDATA[          Weaving and finishing of cotton textiles on handlooms]]></labl>
        <catStat type="freq">
          375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl><![CDATA[          Weaving and finishing of cotton textiles on power looms]]></labl>
        <catStat type="freq">
          294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl><![CDATA[         Cotton spinning, weaving and processing in mills]]></labl>
        <catStat type="freq">
          288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl><![CDATA[          Bleaching, dyeing and printing of cotton textiles (This group includes bleaching, dyeing and printing of not self-produced cotton textiles.)]]></labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl><![CDATA[           Preparation of raw wool, silk and artificial/synthetic textile fibres for spinning]]></labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl><![CDATA[          Wool spinning, weaving and finishing other than in mills]]></labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl><![CDATA[          Wool spinning, weaving and processing in mills]]></labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl><![CDATA[          Bleaching and dyeing of woollen textiles]]></labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl><![CDATA[          Spinning, weaving and finishing of silk textiles other than in mills]]></labl>
        <catStat type="freq">
          105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl><![CDATA[          Spinning, weaving and processing of silk textiles in mills]]></labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl><![CDATA[          Bleaching, dyeing and printing of silk textiles]]></labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl><![CDATA[         Spinning, weaving and processing of man-made textiles fibres]]></labl>
        <catStat type="freq">
          165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl><![CDATA[          Bleaching, dyeing, and printing of artificial/synthetic textile fabrics]]></labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl><![CDATA[           Jute and mesta pressing and baling]]></labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl><![CDATA[          Preparatory operations (including carding and combing) on jute and mesta fibres]]></labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl><![CDATA[          Preparatory operations (including carding and combing) on coir fibres ]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl><![CDATA[          Preparatory operations (including carding and combing) on sann, hemp and other vegetable fibres n.e.c.]]></labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl><![CDATA[          Spinning, weaving and finishing of jute and mesta textiles]]></labl>
        <catStat type="freq">
          195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl><![CDATA[          Spinning, weaving and finishing of coir textiles]]></labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl><![CDATA[          Spinning,   weaving and finishing of sann, hemp and other vegetable fibre textiles n.e.c.]]></labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl><![CDATA[          Bleaching, dyeing and printing of jute and mesta textiles]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl><![CDATA[          Bleaching, dyeing and printing of coir textiles]]></labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl><![CDATA[          Bleaching,  dyeing and printing of other vegetable fibre textiles n.e.c.]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl><![CDATA[          Manufacture of knitted or crocheted  textile products]]></labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl><![CDATA[         Manufacture of all types of thread, cordage, ropes, twines and nets etc.]]></labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl><![CDATA[         Embroidery work, zari work and making of ornamental trimming]]></labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl><![CDATA[         Manufacture of blankets, shawls, carpets, rugs and other similar textile products]]></labl>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl><![CDATA[         Manufacture of floor coverings of jute, mesta, sann, hemp and other kinds of fibres and coir]]></labl>
        <catStat type="freq">
          58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl><![CDATA[         Manufacture of all types of textile garments and clothing accessories n.e.c. (except by purely tailoring establishments) from not self-produced material (Note : in principle, the raw materil is cut and sewn together in the establishments covered ]]></labl>
        <catStat type="freq">
          314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl><![CDATA[          Manufacture of rain coats, hats, caps and school bags etc. from water proof textile fabrics or plastic sheetings]]></labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl><![CDATA[          Manufacture of made-up textile articles : except apparel]]></labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl><![CDATA[          Manufacture of waterproof textile fabrics]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl><![CDATA[          Manufacture of textiles/textile products n.e.c. like linoleum, padding, wadding, upholstering and filling, etc.]]></labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl><![CDATA[          Sawing and planning  of wood (other than plywood)]]></labl>
        <catStat type="freq">
          153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl><![CDATA[          Manufacture of veneer sheets, plywood and their products]]></labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl><![CDATA[          Manufacture of structural wooden goods (including treated timber) such as beams, posts, doors and window (excluding hewing and rough shaping of poles, bolts and other wood material which is classified under logging) ]]></labl>
        <catStat type="freq">
          366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl><![CDATA[          Manufacture of wooden and cane boxes, crates, drums, barrels and other containers, baskets and other wares made entirely or mainly of cane, rattan, reed, bamboo, willow, fibres, leaves and grass ]]></labl>
        <catStat type="freq">
          209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl><![CDATA[          Manufacture of wooden industrial goods n.e.c.]]></labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl><![CDATA[          Manufacture of cork and cork products]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl><![CDATA[          Manufacture  of wooden furniture and fixtures]]></labl>
        <catStat type="freq">
          380
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl><![CDATA[          Manufacture of bamboo with cane furniture and fixtures ]]></labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl><![CDATA[          Manufacture of products of wood, bamboo, cane, reed and grass including articles made from coconut shells etc.) n.e.c.]]></labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl><![CDATA[          Manufacture of pulp, paper and paper board including manufacture of newsprint]]></labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl><![CDATA[          Manufacture of containers and boxes of paper or paper board]]></labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl><![CDATA[          Manufacture of paper and paper board articles and pulp products n.e.c.]]></labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl><![CDATA[          Manufacture of special purpose paper whether or not printed n.e.c.]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl><![CDATA[          Printing and publishing cf newspapers]]></labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl><![CDATA[          Printing and publishing of periodicals, books, journals, directories, atlases, maps, sheet music, schedules & pamphlets, etc.]]></labl>
        <catStat type="freq">
          122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl><![CDATA[          Printing of bank notes, currency notes, postage stamps, security passes, stamp papers and other similar products]]></labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl><![CDATA[          Engraving, etching and block-making etc.]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl><![CDATA[          Book binding on account of others]]></labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl><![CDATA[          Printing and allied activities not elsewhere classified]]></labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl><![CDATA[         Tanning, curing, finishing, embossing and japanning of leather]]></labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl><![CDATA[         Manufacture of footwear (excluding repair) except of vulcanized or moulded rubber or plastic]]></labl>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl><![CDATA[         Manufacture of wearing apparel of leather and substitutes of leather]]></labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl><![CDATA[        Manufacture of consumer goods of leather and substitutes of leather; other than apparel and footwear (Note : Manufacture of school bags and travelling accessories from waterproof textile fabrics is included in group 266)]]></labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl><![CDATA[        Scrapping, currying, tanning, bleaching and dyeing of fur and other pelts for the trade]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl><![CDATA[        Manufacture of wearing apparel of fur and pelts]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl><![CDATA[        Manufacture of fur and skin rugs and other similar articles]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl><![CDATA[        Manufacture of leather and fur products n.e.c.]]></labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl><![CDATA[        Manufacture of industrial organic and inorganic chemicals (manufacture of chemicals for laboratory and technical uses is classified in 309.4) ]]></labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl><![CDATA[        Manufacture of fertilizers and pesticides]]></labl>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl><![CDATA[        Manufacture of plastics in primary forms; manufacture of synthetic rubber ]]></labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl><![CDATA[        Manufacture of paints, varnishes, and related products, artists' colours and ink]]></labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl><![CDATA[         Manufacture of drugs, medicines and allied products]]></labl>
        <catStat type="freq">
          151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl><![CDATA[         Manufacture of perfumes, cosmetics, lotions, hair dressings, toothpastes, soap in any form, detergents, shampoos, shaving products, washing and cleaning preparations and other toilet preparations ]]></labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl><![CDATA[          Manufacture of man-made fibres]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl><![CDATA[          Manufacture of matches]]></labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl><![CDATA[          Manufacture of explosives: ammunition and fire-works]]></labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl><![CDATA[          Manufacture of chemical products n.e.c.]]></labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl><![CDATA[          Tyre and tube industries]]></labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl><![CDATA[         Manufacture  of footwear made primarily of vulcanised or moulded rubber and plastics]]></labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl><![CDATA[         Manufacture of rubber products n. e. c.]]></labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl><![CDATA[          Manufacture of plastic products   n. e. c.]]></labl>
        <catStat type="freq">
          130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl><![CDATA[         Manufacture of refined petroleum products (this group includes production of liquids of gaseous fuels, illuminating oils, lubricating oils or greases or other products obtained from crude petroleum or their fractionation productions. Liquificatio]]></labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl><![CDATA[          Bottling of natural gas or liquefied petroleum gas]]></labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl><![CDATA[          Manufacture of refined petroleum products n. e. c. (this group includes manufacture of variety of products extracted/obtained from the products or residues of petroleum refining)]]></labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl><![CDATA[         Processing of nuclear fuels (this group includes extraction of uranium metals from pitch blende or other uranium bearing ores; manufacture of alloys or dispersions or mixtures of natural uranium or its compounds; manufacture of enriched uranium a]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl><![CDATA[          Manufacture of coke oven products (This group includes operation of coke ovens chiefly for the production of coke or semi-coke from hard-coal and lignite, retort carbon and residual products such as coal tar or pitch agglomeration of coke is inc]]></labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl><![CDATA[          Manufacture of other coal and coal tar products n.e.c.]]></labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl><![CDATA[          Manufacture of refractory products and structural clay products]]></labl>
        <catStat type="freq">
          299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl><![CDATA[          Manufacture of glass and glass products]]></labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl><![CDATA[          Manufacture of earthen and plaster products]]></labl>
        <catStat type="freq">
          185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl><![CDATA[          Manufacture of non-structural ceramic ware]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl><![CDATA[          Manufacture of cement, lime and plaster]]></labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl><![CDATA[          Manufacture of mica products]]></labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl><![CDATA[         Stone dressing and crushing; manufacture of structural stone goods and stoneware]]></labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl><![CDATA[         Manufacture of asbestos cement and  other cement products]]></labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl><![CDATA[          Manufacture of miscellaneous non-metallic mineral products]]></labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl><![CDATA[          Manufacture of iron and steel in primary unpolished forms]]></labl>
        <catStat type="freq">
          301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl><![CDATA[          Manufacture of semi-finished iron and steel products in re-rolling mills, cold-rolling mills and wire-drawing mills]]></labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl><![CDATA[          Manufacture of ferro-alloys]]></labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl><![CDATA[          Copper manufacturing]]></labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl><![CDATA[           Brass manufacturing]]></labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl><![CDATA[           Aluminium manufacturing]]></labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl><![CDATA[          Zinc manufacturing]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl><![CDATA[           Casting of metals]]></labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl><![CDATA[           Processing/Re-rolling of metal scraps other than iron and steel scraps (Note : Re-rolling of iron and steel scraps is included in class  330.2) ]]></labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl><![CDATA[           Other non-ferrous metal industries]]></labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl><![CDATA[           Manufacture of fabricated structural metal products ]]></labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl><![CDATA[           Manufacture of fabricated metal products n.e.c.]]></labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl><![CDATA[          Manufacture of furniture and fixtures "primarily of metal"]]></labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl><![CDATA[          Manufacture of hand tools, weights and measures and general hardware]]></labl>
        <catStat type="freq">
          174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl><![CDATA[          Forging, pressing, stamping and roll-forming of metal; powder metallurgy of a wide variety of finished or semi-finished metal products, by means of the above activities which, individually, would be characteristically produced in other activity ]]></labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl><![CDATA[          Treatment or coating of metals; general mechanical engineering on a sub-contract basis. (This group includes plating, polishing, anodising, engraving, printing, hardening, buffing, deburring, sand blasting, welding or other specialised operation]]></labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl><![CDATA[          Manufacture of metal cutlery, utensils and kitchenware]]></labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl><![CDATA[          Manufacture of metal products (except machinery and equipment) n.e.c.]]></labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl><![CDATA[          Manufacture of agricultural machinery and equipment and parts thereof]]></labl>
        <catStat type="freq">
          114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl><![CDATA[          Manufacture of machinery and equipment used by construction and mining industries]]></labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl><![CDATA[          Manufacture of prime movers, boilers, steam generating plants and nuclear reactors]]></labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl><![CDATA[          Manufacture of industrial machinery for food and textile industries (including bottling and filling machinery)]]></labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl><![CDATA[          Manufacture of industrial machinery for other than food and textile industries]]></labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl><![CDATA[          Manufacture of refrigerators, air conditioners and fire fighting equipments and their parts and accessories]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl><![CDATA[          Manufacture of general purpose non-electrical machinery/equipment, their components and accessories, n.e.c.]]></labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl><![CDATA[          Manufacture of machine tools, their parts and accessories]]></labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl><![CDATA[          Manufacture of office, computing, and accounting machinery and parts (Note : Manufacture of computers and computer based systems including word processors is classified in group 367)]]></labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl><![CDATA[          Manufacture of special purpose machinery/ equipment, their components and accessories n.e.c.]]></labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl><![CDATA[          Manufacture of electrical industrial machinery apparatus and parts thereof]]></labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl><![CDATA[         Manufacture of insulated wires and cables, including manufacture of optical fibre  cables]]></labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl><![CDATA[         Manufacture of accumulators primary cells and primary batteries]]></labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl><![CDATA[         Manufacture   of electric  lamps]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl><![CDATA[         Manufacture of electric fans and electric/electro thermic domestic appliances and parts thereof-]]></labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl><![CDATA[         Manufacture of apparatus for radio broadcasting television transmission, radar apparatus and radio remote control apparatus and apparatus for radio line telephony and line telegraphy ]]></labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl><![CDATA[         Manufacture of television receivers; reception apparatus for  radio broadcasting, radio telephony/telegraphy video   recording or reproducing apparatus, turn-tables, record-players, cassette-players and other sound reproducing apparatus, sound re]]></labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl><![CDATA[          Manufacture of computers and computer based systems]]></labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl><![CDATA[         Manufacture of electronic valves and lubes and other electronic components n.e.c.]]></labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl><![CDATA[         Manufacture of radiographic X-ray apparatus X-ray tubes and parts and manufacture of electrical equipments n.e.c.]]></labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl><![CDATA[        Ship and  boat  building]]></labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl><![CDATA[         Manufacture of locomotives and parts]]></labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl><![CDATA[         Manufacture of railway/tramway wagons and coaches and other railroad equipment n.e.c.]]></labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl><![CDATA[         Manufacture of heavy motor vehicles; coach work]]></labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl><![CDATA[         Manufacture of motor cars and other motor vehicles principally designed for the transport of less than 10 persons (includes manufacture of racing cars and golf-cars etc.)]]></labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl><![CDATA[         Manufacture of motor-cycles and scooters and parts (including three-wheelers)]]></labl>
        <catStat type="freq">
          49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl><![CDATA[          Manufacture of bicycles, cycle-rickshaws and parts]]></labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl><![CDATA[          Manufacture of aircaft, spacecraft and their parts]]></labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl><![CDATA[          Manufacture of bullock-carls,  push-carts and hand-carts etc.]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl><![CDATA[          Manufacture of transport equipment and parts n. e. c.]]></labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl><![CDATA[          Manufacture of medical, surgical, scientific and measuring equipment except optical equipment]]></labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl><![CDATA[          Manufacture  of photographic, cinematographic and optical goods and equipment (excluding photochemical, sensitised paper and film.)]]></labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl><![CDATA[           Manufacture of watches and clocks]]></labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl><![CDATA[           Manufacture  of jewellery and related articles]]></labl>
        <catStat type="freq">
          566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl><![CDATA[           Minting of currency coins]]></labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl><![CDATA[           Manufacture of musical instruments (Note : Manufacture of toy musical instruments is classified in group 389)]]></labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl><![CDATA[           Manufacture of stationery articles n.e.c.]]></labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl><![CDATA[            Manufacture of item; based on solar energy like solar cells, cookers, air and water heating systems and other related items]]></labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl><![CDATA[            Manufacture of miscellaneous products n.e.c.]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl><![CDATA[            Manufacture of miscellaneous products n.e.c.]]></labl>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl><![CDATA[            Repair of agricultural machinery/equipment]]></labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl><![CDATA[            Repair of prime-movers, boilers, steam-generating plants and nuclear reactors]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl><![CDATA[            Repair of machine tools]]></labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl><![CDATA[            Repair of industrial machinery other than machine tools]]></labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl><![CDATA[            Repair of office, computing and accounting machinery ]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl><![CDATA[            Repair of electrical industrial machinery and apparatus]]></labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl><![CDATA[            Repair of apparatus for radio-broadcasting or television transmission; radar apparatus, radio remote control apparatus and apparatus for radio/line telephony or line telegraphy]]></labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl><![CDATA[            Repair of locomotives and other railroad equipment]]></labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl><![CDATA[            Repair of heavy  motor vehicles]]></labl>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl><![CDATA[            Repair of machinery and equipment n.e.c.]]></labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl><![CDATA[            Generation and transmission of electric energy]]></labl>
        <catStat type="freq">
          256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl><![CDATA[            Distribution of electric energy to households, industrial, commercial and other users]]></labl>
        <catStat type="freq">
          441
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl><![CDATA[            Distribution of gas in gas works and distribution through mains to households, industrial, commercial and other users]]></labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl><![CDATA[           Water supply i.e. collection, purification and distribution of water]]></labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl><![CDATA[           Generation of solar energy]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl><![CDATA[           Generation and distribution of bio-gas energy ]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl><![CDATA[           Generation of energy through wind mills]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl><![CDATA[           Generation and distribution of other non-conventional energy n.e.c.]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl><![CDATA[           Construction and maintenance of buildings]]></labl>
        <catStat type="freq">
          3274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl><![CDATA[           Construction and maintenance of  roads,  rail beds, bridges, tunnels, pipelines, ropeways, ports, harbours and runways etc.]]></labl>
        <catStat type="freq">
          593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl><![CDATA[           Construction/erection and maintenance of power telecommunication and transmission lines etc.]]></labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl><![CDATA[          Construction and maintenance of waterways and water reservoirs such as bunds, embankments, dams, canals, tanks wells, tube wells and aquaducts etc.]]></labl>
        <catStat type="freq">
          130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl><![CDATA[          Construction and maintenance of hydro-electric projects]]></labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl><![CDATA[          Construction and maintenance of power plants except hydro-electric projects]]></labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl><![CDATA[          Construction and maintenance of industrial plants excluding power plants]]></labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl><![CDATA[          Construction and maintenance n. e. c.]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl><![CDATA[          Plumbing and drainage]]></labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl><![CDATA[          Heating and air-conditioning installation, lift installation, sound-proofing etc.]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl><![CDATA[          Setting of tiles, marble, bricks, glass and stone]]></labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl><![CDATA[          Timber works (such as fixing of doors, windows, panels); structural steel work; R.C.C. work and binding of the bars and roof trusses]]></labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl><![CDATA[          Electrical installation work for constructions]]></labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl><![CDATA[          Painting  and   decorating  work  for  constructions]]></labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl><![CDATA[         Other activities allied  to construction n.e.c.]]></labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl><![CDATA[         Wholesale trade in cereals and pulses]]></labl>
        <catStat type="freq">
          246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl><![CDATA[        Wholesale trade in basic food-stuffs (other than cereals and pulses)]]></labl>
        <catStat type="freq">
          203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl><![CDATA[        Wholesale trade in textile fibres of vegetable, animal origin]]></labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl><![CDATA[        Wholesale trade in un-manufactured tobacco, pan leaves, opium, ganja and cinchona  etc.]]></labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl><![CDATA[        Wholesale trade in straw, IV other animal poultry feed]]></labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          605
        </catValu>
        <labl><![CDATA[        Wholesale trade in live animals and poultry]]></labl>
        <catStat type="freq">
          58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          606
        </catValu>
        <labl><![CDATA[        Wholesale trade in manufactured foodstuffs]]></labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          607
        </catValu>
        <labl><![CDATA[        Wholesale trade in tea, coffee, cocoa, tobacco products and beverages other than intoxicants]]></labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          608
        </catValu>
        <labl><![CDATA[        Wholesale trade in intoxicants like wines and liquors including incidental bottling]]></labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl><![CDATA[        Wholesale trade in textiles and textile products, like all kinds of yarn, fabrics, garments, and other made-up articles   etc. (including second-hand textile goods) ]]></labl>
        <catStat type="freq">
          180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl><![CDATA[        Wholesale trade in wood, cane, bamboo and thatches etc.]]></labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl><![CDATA[        Wholesale trade in paper and other stationery goods]]></labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl><![CDATA[        Wholesale trade in skin, leather, fur and their products]]></labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl><![CDATA[        Wholesale trade in fuel and lighting products]]></labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl><![CDATA[        Wholesale trade in petrol, mobile oil and allied products]]></labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl><![CDATA[        Wholesale trade in medicines and chemicals]]></labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl><![CDATA[        Wholesale trade in fertilizers and pesticides]]></labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          617
        </catValu>
        <labl><![CDATA[        Wholesale trade in toiletry, perfumery and cosmetics]]></labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          618
        </catValu>
        <labl><![CDATA[        Wholesale trade in metal, porcelain and glass utensils, crockery and chinaware]]></labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl><![CDATA[        Wholesale trade in ores and metals]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl><![CDATA[        Wholesale trade in agricultural and industrial machinery]]></labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl><![CDATA[       Wholesale trade in electrical machinery and equipment]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl><![CDATA[       Wholesale trade in electronic equipment and accessories]]></labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          623
        </catValu>
        <labl><![CDATA[       Wholesale trade in transport and storage equipment]]></labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl><![CDATA[       Wholesale trade in furniture and fixtures]]></labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl><![CDATA[       Wholesale trade in rubber, plastic and their products]]></labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl><![CDATA[       Wholesale trade in building materials]]></labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          633
        </catValu>
        <labl><![CDATA[       Wholesale trade in hardware and sanitary fixtures]]></labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl><![CDATA[       Wholesale trade in household equipment, appliances n.e.c.]]></labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          635
        </catValu>
        <labl><![CDATA[      Wholesale trade in scientific, medical and surgical instruments]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          636
        </catValu>
        <labl><![CDATA[      Wholesale  trade  in  watches/clocks, eyeglasses and spectacle frames]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          637
        </catValu>
        <labl><![CDATA[      Wholesale trade in precious metals, stones and jewellery]]></labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          638
        </catValu>
        <labl><![CDATA[       Wholesale trade in wastes and metal scraps]]></labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl><![CDATA[       Wholesale trade in miscellaneous goods n.e.c.]]></labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl><![CDATA[       Commission agents dealing in agricultural raw materials, live animals, food, beverages, intoxicants and textiles]]></labl>
        <catStat type="freq">
          167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl><![CDATA[       Commission agents dealing in wood; paper, skin, leather and fur, fuel, petroleum, chemicals, perfumery, cosmetics, glass, ores and metals]]></labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl><![CDATA[       Commission agents dealing in machinery and equipment]]></labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl><![CDATA[       Other commission agents n.e.c.]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl><![CDATA[       Specialised retail trade in cereals and pulses, tea, coffee, spices, lour and other basic food items]]></labl>
        <catStat type="freq">
          2519
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl><![CDATA[       Retail trade in vegetables and fruits]]></labl>
        <catStat type="freq">
          1099
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl><![CDATA[       Retail trade in meat, fish and poultry]]></labl>
        <catStat type="freq">
          366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          653
        </catValu>
        <labl><![CDATA[       Retail trade in sweetmeat, bakery products, dairy products and eggs]]></labl>
        <catStat type="freq">
          368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          654
        </catValu>
        <labl><![CDATA[       Retail trade in aerated water, soft drinks and ice-cream]]></labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          655
        </catValu>
        <labl><![CDATA[      Retail trade in pan, bidi and cigarette]]></labl>
        <catStat type="freq">
          500
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          656
        </catValu>
        <labl><![CDATA[      Retail trade in wine and liquor, not consumed on the spot]]></labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl><![CDATA[       Retail trade in food and food articles, beverages, tobacco and intoxicants n.e.c.]]></labl>
        <catStat type="freq">
          340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl><![CDATA[       Retail trade in textiles]]></labl>
        <catStat type="freq">
          748
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          661
        </catValu>
        <labl><![CDATA[       Retail trade in ready-made garments, hosiery/knitted garments, etc. (includes retail trade in second-hand garments)]]></labl>
        <catStat type="freq">
          334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl><![CDATA[       Retail trade in firewood, coal, kerosene oil and cooking gases]]></labl>
        <catStat type="freq">
          189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          671
        </catValu>
        <labl><![CDATA[       Retail trade in footwear]]></labl>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          672
        </catValu>
        <labl><![CDATA[       Retail trade in crockery, glass-ware and plastic ware]]></labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          673
        </catValu>
        <labl><![CDATA[       Retail trade in utensils (except those specialising in plastic wares)]]></labl>
        <catStat type="freq">
          147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          674
        </catValu>
        <labl><![CDATA[       Retail trade in furniture]]></labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          675
        </catValu>
        <labl><![CDATA[       Retail trade in electric/electronic equipment (including watches and clocks)]]></labl>
        <catStat type="freq">
          196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          676
        </catValu>
        <labl><![CDATA[       Retail trade in jewellery]]></labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          679
        </catValu>
        <labl><![CDATA[       Retail trade in fuel and other household utilities and durables n. e. c.]]></labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl><![CDATA[       Retail trade in books, magazines, and stationery (including distribution of newspapers)]]></labl>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          681
        </catValu>
        <labl><![CDATA[       Retail trade in agricultural inputs, viz. seeds, fertilizers and pesticides]]></labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl><![CDATA[       Retail trade in motor fuels]]></labl>
        <catStat type="freq">
          58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          683
        </catValu>
        <labl><![CDATA[       Retail trade in building materials]]></labl>
        <catStat type="freq">
          172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          684
        </catValu>
        <labl><![CDATA[       Retail trade in agricultural  machinery and equipment]]></labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          685
        </catValu>
        <labl><![CDATA[       Retail trade in industrial machinery and equipment—electrical and non-electrical]]></labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl><![CDATA[       Retail trade in transport equipment]]></labl>
        <catStat type="freq">
          127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          687
        </catValu>
        <labl><![CDATA[       Retail fade in pharmaceutical, medical and orthopaedic goods]]></labl>
        <catStat type="freq">
          139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          688
        </catValu>
        <labl><![CDATA[       Non-specialised retail trade including  non-store retail trade]]></labl>
        <catStat type="freq">
          410
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          689
        </catValu>
        <labl><![CDATA[       Retail trade n. e. c.]]></labl>
        <catStat type="freq">
          635
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          690
        </catValu>
        <labl><![CDATA[       Restaurants, cafes and other eating and drinking places]]></labl>
        <catStat type="freq">
          1211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          691
        </catValu>
        <labl><![CDATA[       Hotels, rooming houses, camps and other lodging places]]></labl>
        <catStat type="freq">
          145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl><![CDATA[       Railway transport]]></labl>
        <catStat type="freq">
          938
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl><![CDATA[       Passenger transport by bus (including tramways)]]></labl>
        <catStat type="freq">
          584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl><![CDATA[       Passenger transport  by motor vehicles other than by bus]]></labl>
        <catStat type="freq">
          749
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl><![CDATA[       Freight transport by motor vehicles]]></labl>
        <catStat type="freq">
          848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl><![CDATA[       Passenger or freight transport via hackney bullock-carts, ekkas, tongas etc. ]]></labl>
        <catStat type="freq">
          154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl><![CDATA[       Transport via animals like horses, elephants, mules, camels, etc.]]></labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl><![CDATA[        Transport by man (including rickshaw puller, handcart pullers, porters, coolies, etc.)]]></labl>
        <catStat type="freq">
          1037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          707
        </catValu>
        <labl><![CDATA[        Pipe-line transport]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl><![CDATA[        Supporting services to land transport, like operation of highway bridges, toll roads, vehicular tunnels, parking, lots, etc.]]></labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          709
        </catValu>
        <labl><![CDATA[        Other land transport]]></labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl><![CDATA[        Ocean and coastal water transport]]></labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl><![CDATA[        Inland water transport]]></labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl><![CDATA[        Supporting services to water-transport like operation & maintenance of piers, docks, pilotage, lighthouses, loading and discharging of vessels, etc.]]></labl>
        <catStat type="freq">
          83
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl><![CDATA[        Air transport carriers (of passengers and freight)]]></labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl><![CDATA[        Supporting services to air transport, like operation of airports lying facilities, radio beacons, flying control centres, radar stations, etc.]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          730
        </catValu>
        <labl><![CDATA[        Cargo handling incidental to land transport]]></labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl><![CDATA[        Cargo handling incidental to water transport]]></labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl><![CDATA[        Cargo handling incidental to air transport]]></labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl><![CDATA[        Renting and leasing (except financial leasing) of motor vehicles, without operator for passenger transport (Renting and leasing of motor cycles, scooters and mopeds etc. is classified in group 850)]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          734
        </catValu>
        <labl><![CDATA[        Renting and leasing (except financial leasing) of motor vehicles,  without operator, for freight transport]]></labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          735
        </catValu>
        <labl><![CDATA[        Renting and leasing (except financial leasing) of air-crafts]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          736
        </catValu>
        <labl><![CDATA[        Renting and leasing (except financial leasing) of ships ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          737
        </catValu>
        <labl><![CDATA[        Activities of tourist and travel agents]]></labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          738
        </catValu>
        <labl><![CDATA[        Activities of transport agents other than tourist and travel agents]]></labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          739
        </catValu>
        <labl><![CDATA[        Other services incidental to transport n.e.c.]]></labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl><![CDATA[        Warehousing of agricultural products without refrigeration]]></labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl><![CDATA[        Warehousing of agricultural products with refrigeration (cold storages)]]></labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl><![CDATA[         Storage and warehousing services n. e. c,  (includes warehousing of furniture, automobiles, gas & oil, chemicals and textiles. Also included is storage of goods in foreign trade zones)  ]]></labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl><![CDATA[         Postal, telegraphic, wireless and signal communication]]></labl>
        <catStat type="freq">
          206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl><![CDATA[         Courier activities other than post.  (This group includes picking up, transport and delivery of letters and mail-type, usually small parcels and packages. Either only one kind of transport or more than one mode of transport may be involved and th]]></labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl><![CDATA[         Telephone communication services]]></labl>
        <catStat type="freq">
          127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          759
        </catValu>
        <labl><![CDATA[         Communication services n. e. c.]]></labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl><![CDATA[          Deposit activities  (This group includes activities of central banks, commercial banks, savings banks, savings and loan associations and other such institutions whose major source of funds is deposits)]]></labl>
        <catStat type="freq">
          896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl><![CDATA[          Other credit activities (This group includes activities of such units whose chief activity is making loans. They are distinguished from the deposit institutions in that the chief source of funds is equity or short term paper etc., but not deposi]]></labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl><![CDATA[          Other banking activities]]></labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl><![CDATA[           Securities  dealing activities (This group includes activities of brokers and dealers and central exchanges dealing in all kinds of negotiable instruments and underwriters and agents in the floatation of new securities) ]]></labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl><![CDATA[          Financial services other than securities dealing activities]]></labl>
        <catStat type="freq">
          58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          810
        </catValu>
        <labl><![CDATA[          Provident  services]]></labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl><![CDATA[         Insurance carriers, life]]></labl>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl><![CDATA[         Deposit/credit guaranty insurance services]]></labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          819
        </catValu>
        <labl><![CDATA[         Insurance carriers other than life such as fire, marine accident, health including insurance agents, valuers/ assessors, etc.]]></labl>
        <catStat type="freq">
          49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          820
        </catValu>
        <labl><![CDATA[         Purchase, sale, letting and operating of real estate such as residential and non-residential buildings, developing & subdividing real estate into lots, lessors of  real property, real estate agents, brokers and managers engaged in renting, buying]]></labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl><![CDATA[         Legal services such as those rendered by advocates, barristers, solicitors, pleaders, mukatiars, etc.]]></labl>
        <catStat type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl><![CDATA[          Bulk purchase and sale of lottery tickets]]></labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          841
        </catValu>
        <labl><![CDATA[          Sale of lottery tickets to individuals]]></labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl><![CDATA[           Renting of transport equipment without operator n.e.c. (Includes short-term rental as well as extended-term leasing with or without maintenance)]]></labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl><![CDATA[           Renting of agricultural machinery and equipment without  operator]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl><![CDATA[           Renting of office accounting and computing machinery and equipment, without operator. (Renting of computer time on an hourly or time-sharing basis is classified in group 892. Renting of computers or computer related equipment with mmagement or ]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl><![CDATA[           Renting of other industrial machinery and equipment (This group includes the renting or leasing of all kind of machinery which is generally used  as investment by industries) ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl><![CDATA[           Renting of personal and household goods. (This group includes the rental of all kind of goods whether or not the customers are households. It involves the rental of such goods as textiles, wearing apparel and footwear, furniture, pottery and gl]]></labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          890
        </catValu>
        <labl><![CDATA[          Auctioneering services]]></labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          891
        </catValu>
        <labl><![CDATA[          Accounting, book-keeping and auditing activities including tax consultancy services]]></labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          892
        </catValu>
        <labl><![CDATA[          Data processing, software development and computer consultancy services]]></labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          893
        </catValu>
        <labl><![CDATA[          Business and management consultancy activities]]></labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl><![CDATA[          Architectural and engineering and other technical consultancy activities]]></labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          895
        </catValu>
        <labl><![CDATA[          Technical testing and analysis services.(This group includes testing of all types of materials and products. Seed testing is classified in 039.9 and medical testing in division 93)]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          896
        </catValu>
        <labl><![CDATA[         Advertising]]></labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          897
        </catValu>
        <labl><![CDATA[         Press agency activities. (This group includes news syndicate and news agency activities on a fee or contract basis. Includes activities of independent news rep., news writers, etc.)]]></labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          898
        </catValu>
        <labl><![CDATA[         Recruitment and provision of persons]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          899
        </catValu>
        <labl><![CDATA[         Other business services n.e.c.]]></labl>
        <catStat type="freq">
          101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl><![CDATA[         Public services in the union government including defence services ]]></labl>
        <catStat type="freq">
          1392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          901
        </catValu>
        <labl><![CDATA[         Public services in state governments including police services]]></labl>
        <catStat type="freq">
          5206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl><![CDATA[         Public services in local bodies, departments and offices engaged in administration like local taxation and business regulations etc]]></labl>
        <catStat type="freq">
          847
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          903
        </catValu>
        <labl><![CDATA[        Public services in quasi-government  bodies]]></labl>
        <catStat type="freq">
          502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          910
        </catValu>
        <labl><![CDATA[        Sanitation and similar services such as garbage and sewage disposal, operation of drainage systems and all other types of work connected with public health and sanitation ]]></labl>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          920
        </catValu>
        <labl><![CDATA[        Educational services rendered by technical or vocational colleges, schools and other institutions]]></labl>
        <catStat type="freq">
          480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl><![CDATA[       Educational services rendered by non-technical colleges schools, universities and other institutions]]></labl>
        <catStat type="freq">
          2999
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          922
        </catValu>
        <labl><![CDATA[       Research and scientific services not classified elsewhere such as those rendered by institutions and laboratories  engaged in research in the biological, physical and social sciences, meteorological institutes and medical research organisations etc]]></labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          930
        </catValu>
        <labl><![CDATA[       Health and medical services rendered by organizations and individuals such as hospitals, dispensaries sanatoria, nursing homes, maternal and child welfare clinics by allopathic/ayurvedic, unani. homoeopathic, etc. practitioners]]></labl>
        <catStat type="freq">
          1147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl><![CDATA[       Veterinary services (including birds' hospitals)]]></labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          940
        </catValu>
        <labl><![CDATA[       Religious services rendered by organisations or individuals ]]></labl>
        <catStat type="freq">
          314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl><![CDATA[      Welfare services rendered by organisations operating on a no-profit basis for the promotion of welfare of the community such as relief societies, crèches, homes for the aged, and physically handicapped, etc.]]></labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          942
        </catValu>
        <labl><![CDATA[       Services rendered by business, professional and labour organisations n.e.c.]]></labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          943
        </catValu>
        <labl><![CDATA[       Services rendered by cooperative societies n.e.c.]]></labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          949
        </catValu>
        <labl><![CDATA[       Community services  n.e.]]></labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          950
        </catValu>
        <labl><![CDATA[       Motion picture and video film production]]></labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl><![CDATA[       Motion picture distribution and projection services]]></labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          952
        </catValu>
        <labl><![CDATA[       State production and related services]]></labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          953
        </catValu>
        <labl><![CDATA[       Authors, music composers, singers, dancers, magicians and other independent artistes n.e.c.]]></labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          954
        </catValu>
        <labl><![CDATA[        Radio and television broadcasting and related services]]></labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          955
        </catValu>
        <labl><![CDATA[        Operation of circuses and race tracks]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          956
        </catValu>
        <labl><![CDATA[        Libraries, museums, botanical and zoological gardens, zoos, game sanctuaries etc.]]></labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          957
        </catValu>
        <labl><![CDATA[        Audio & video cassette libraries]]></labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          958
        </catValu>
        <labl><![CDATA[       Video parlours, electronic games and other amusements centres n.e.c.]]></labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          959
        </catValu>
        <labl><![CDATA[        Recreational services n.e.c.]]></labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          960
        </catValu>
        <labl><![CDATA[        Domestic services]]></labl>
        <catStat type="freq">
          422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          961
        </catValu>
        <labl><![CDATA[        Laundry, cleaning and dyeing services]]></labl>
        <catStat type="freq">
          424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          962
        </catValu>
        <labl><![CDATA[        Hair dressing such as those done by barbers, hair dressing saloons and beauty shops etc.]]></labl>
        <catStat type="freq">
          485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          963
        </catValu>
        <labl><![CDATA[        Portrait and commercial photographic studies]]></labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          964
        </catValu>
        <labl><![CDATA[       Tailoring establishments]]></labl>
        <catStat type="freq">
          932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          969
        </catValu>
        <labl><![CDATA[        Personal services n.e.c.]]></labl>
        <catStat type="freq">
          443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          970
        </catValu>
        <labl><![CDATA[        Repair of footwear and other leather goods]]></labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          971
        </catValu>
        <labl><![CDATA[        Repair of household electrical appliances]]></labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          972
        </catValu>
        <labl><![CDATA[        Repair of TV, VCR, radio, transistor, tape-recorder, refrigerator and other electronic appliances]]></labl>
        <catStat type="freq">
          142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          973
        </catValu>
        <labl><![CDATA[        Repair of watches, clocks and jewellery]]></labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          974
        </catValu>
        <labl><![CDATA[       Repair of motor vehicles and motor cycles except trucks, lorry and other heavy vehicles]]></labl>
        <catStat type="freq">
          262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          975
        </catValu>
        <labl><![CDATA[       Repair of bicycles and cycle rickshaws]]></labl>
        <catStat type="freq">
          225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          979
        </catValu>
        <labl><![CDATA[       Repair enterprises n. e. c.]]></labl>
        <catStat type="freq">
          265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          980
        </catValu>
        <labl><![CDATA[       International and other extra territorial bodies]]></labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl><![CDATA[       Services not elsewhere classified]]></labl>
        <catStat type="freq">
          553
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl><![CDATA[        Invalid]]></labl>
        <catStat type="freq">
          532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          XIO
        </catValu>
        <labl><![CDATA[       Activities not adequately defined (other than those in XO) ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          XOO
        </catValu>
        <labl><![CDATA[       Persons without any affiliation to any particular industry (including fresh entrants to labour force)]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V446" name="B3_1_q2b" files="F12" intrvl="discrete">
      <location StartPos="53" EndPos="55" width="3" RecSegNo="1"/>
      <labl>
        Occupation Code
      </labl>
      <qstn>
        <qstnLit>
          Which occupation are you in?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Refer to NCO codes in external resources.
      </txt>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          Physicist
        </labl>
        <catStat type="freq">
          5366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          001
        </catValu>
        <labl>
          Chemists(excluding pharmaceutical chemists)
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          002
        </catValu>
        <labl>
          Geologists and geophysicists
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          003
        </catValu>
        <labl>
          Meteorologist
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          009
        </catValu>
        <labl>
          Physical scientists, n.e.c.
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010
        </catValu>
        <labl>
          Physical science technicians
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          020
        </catValu>
        <labl>
          Architects and town planners
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          021
        </catValu>
        <labl>
          Civil engineers
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          022
        </catValu>
        <labl>
          Electrical and electronic engineers
        </labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          023
        </catValu>
        <labl>
          Mechanical engineers
        </labl>
        <catStat type="freq">
          114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          024
        </catValu>
        <labl>
          Chemical engineers
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          025
        </catValu>
        <labl>
          Metallurgists
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          026
        </catValu>
        <labl>
          Mining engineers
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          027
        </catValu>
        <labl>
          Industrial engineers
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          028
        </catValu>
        <labl>
          Surveyors
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          029
        </catValu>
        <labl>
          Architects, engineers, technologists and surveyors, n.e.c.
        </labl>
        <catStat type="freq">
          58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          030
        </catValu>
        <labl>
          Draughtsmen
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          031
        </catValu>
        <labl>
          Civil engineering overseers and technicians
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          032
        </catValu>
        <labl>
          Electrical and electronic engineering overseers and technicians
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          033
        </catValu>
        <labl>
          Mechanical engineering overseers and technicians
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          034
        </catValu>
        <labl>
          Chemical engineering technicians
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          035
        </catValu>
        <labl>
          Metallurgical technicians
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          036
        </catValu>
        <labl>
          Mining technicians
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          037
        </catValu>
        <labl>
          Survey technicians
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          039
        </catValu>
        <labl>
          Engineering technicians, n.e.c.
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          040
        </catValu>
        <labl>
          Aircraft pilots
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          041
        </catValu>
        <labl>
          Flight engineers
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          042
        </catValu>
        <labl>
          Flight navigators
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          043
        </catValu>
        <labl>
          Ship's deck officers and pilots
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          044
        </catValu>
        <labl>
          Ships engineers
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          049
        </catValu>
        <labl>
          Aircraft and ship's officers, n.e.c.
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          050
        </catValu>
        <labl>
          Biologists, zoologists, botanists and related scientists
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          051
        </catValu>
        <labl>
          Bacteriologists, pharmacologists &amp;related scientists
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          052
        </catValu>
        <labl>
          Silviculturists
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          053
        </catValu>
        <labl>
          Agronomists and agricultural scientists
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          059
        </catValu>
        <labl>
          Life scientists, n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          060
        </catValu>
        <labl>
          Life science technicians
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          070
        </catValu>
        <labl>
          Physicians and surgeons, allopathic
        </labl>
        <catStat type="freq">
          354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          071
        </catValu>
        <labl>
          Physicians and surgeons, ayurvedic
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          072
        </catValu>
        <labl>
          Physicians and surgeons, homoeopathic
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          073
        </catValu>
        <labl>
          Physician and surgeons, unani
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          074
        </catValu>
        <labl>
          Dental surgeons
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          075
        </catValu>
        <labl>
          Veterinarians
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          076
        </catValu>
        <labl>
          Pharmacists
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          077
        </catValu>
        <labl>
          Dieticians and nutritionists
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          078
        </catValu>
        <labl>
          Public health physicians
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          079
        </catValu>
        <labl>
          Physicians and surgeons, n.e.c.
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          080
        </catValu>
        <labl>
          Vaccinators, inoculators and medical assistants
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          081
        </catValu>
        <labl>
          Dental assistants
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          082
        </catValu>
        <labl>
          Veterinary assistants
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          083
        </catValu>
        <labl>
          Pharmaceutical assistants
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          084
        </catValu>
        <labl>
          Nurses
        </labl>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          085
        </catValu>
        <labl>
          Midwives and health visitors
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          086
        </catValu>
        <labl>
          X - ray technicians
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          087
        </catValu>
        <labl>
          Optometrists and opticians
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          088
        </catValu>
        <labl>
          Physiotherapists and occupational therapists
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          089
        </catValu>
        <labl>
          Nursing, sanitary and other medical health technicians, n.e.c.
        </labl>
        <catStat type="freq">
          151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          090
        </catValu>
        <labl>
          Scientific medical and technical persons, other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Mathematicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Statisticians
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Actuaries
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          System analysts and programmers
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Statistical investigators and related workers
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          Mathematicians, statisticians &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Economists
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Economic investigators and related workers
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Economists and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Accountants and auditors
        </labl>
        <catStat type="freq">
          382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Cost and works accountants
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          Accountants, auditors and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Sociologists and anthropologists
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Historians, archeologists &amp; political scientists &amp; related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Geographers
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Psychologists
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Librarians, archivists and curators
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Philologists, translators and interpreters
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Personnel and occupational specialists
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          Labour, social welfare &amp; political workers
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Social scientists and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Lawyers
        </labl>
        <catStat type="freq">
          201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Judges and magistrates
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Legal assistants
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          Jurists, n.e.c.
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Teachers, university and colleges
        </labl>
        <catStat type="freq">
          308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Teachers, higher secondary &amp; secondary schools
        </labl>
        <catStat type="freq">
          1011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Teachers, middle school
        </labl>
        <catStat type="freq">
          633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Teachers, primary
        </labl>
        <catStat type="freq">
          1370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Teachers, pre-primary
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Teachers, special education
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          Teachers, craft
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          Teachers, n.e.c.
        </labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Poets, authors and critics
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Editors and journalists
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          Poets, authors, journalists and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Sculptors, painters and related artists
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Commercial artists, interior decorators&amp; designers
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Movie camera operators
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Photographers, other
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          Sculptors, painters, photographers &amp;related creative artists, n.e.c.
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Composers, musicians and singers
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Choreographers and dancers
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Actors
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Stage &amp; film directors &amp; producers(performing arts)
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Circus performers
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          Composers and performing artists, n.e.c.
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          Ordained religious workers
        </labl>
        <catStat type="freq">
          186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Non - ordained religious workers
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Astrologers, palmists and related workers
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Athletes, sportsmen and related workers
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Professional workers n.e.c.
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Elected officials, union government
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Elected officials, state government
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Elected officials, local bodies
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Elected officials, n.e.c.
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Administrative &amp; executive officials, union govt
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Administrative &amp; executive officials, state government
        </labl>
        <catStat type="freq">
          221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Administrative&amp; executive officials, quasi government
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Administrative &amp;executive officials, local bodies
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Administrative &amp;executive officials, govt &amp; local bodies, n.e.c.
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Working proprietors, directors &amp; managers, wholesale trade
        </labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Working proprietors, directors &amp; managers, retail trade
        </labl>
        <catStat type="freq">
          338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          Working proprietors, directors and managers wholesale &amp; retail trade, n.e.c.
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Directors and managers, bank
        </labl>
        <catStat type="freq">
          232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Directors and managers, insurance
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Directors and managers, financial institution n.e.c.
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Working proprietors, directors &amp;managers, mining, quarrying and well drilling
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Working proprietors, directors &amp; managers, construction
        </labl>
        <catStat type="freq">
          340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Working proprietors, directors &amp; managers, electricity, gas and water
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Working proprietors, directors &amp; managers, manufacturing
        </labl>
        <catStat type="freq">
          1052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          Manufacturing and related concerns, n.e.c.
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Working proprietors, directors, managers &amp; related executives, transport
        </labl>
        <catStat type="freq">
          235
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Directors, managers &amp; related executives, communication
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Working proprietors, directors, managers &amp; related executives, storage and warehouse
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Storage and communication, n.e.c.
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Working proprietors, directors &amp; managers, lodging &amp; catering services
        </labl>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Working props, dirs &amp; managers, recreation &amp; entertain
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          Working proprietors, directors, managers,&amp; related executives, other services
        </labl>
        <catStat type="freq">
          277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Administrative, executive &amp;ma nagerial workers, n.e.c.
        </labl>
        <catStat type="freq">
          134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Clerical supervisors(office superintendents), head clerks, section heads
        </labl>
        <catStat type="freq">
          421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Other supervisors (inspectors, etc.)
        </labl>
        <catStat type="freq">
          247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Ministerial and office assistants
        </labl>
        <catStat type="freq">
          410
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Clerical and other supervisors, other
        </labl>
        <catStat type="freq">
          161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Village officials
        </labl>
        <catStat type="freq">
          210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Stenographers and steno-typists
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Typists
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Tele-typists
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Card &amp; tapepunching machine operators
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          Stenographer, typist &amp; card &amp; tape punching operators, n.e.c.
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Book keepers and accounts clerks
        </labl>
        <catStat type="freq">
          434
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Cashiers
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          Bookkeepers, cashiers &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Book-keeping &amp; calculating machine operators
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Automatic data processing machine operators
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          Computing machine operators, n.e.c.
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Clerks, general
        </labl>
        <catStat type="freq">
          2164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Store keeper and related workers
        </labl>
        <catStat type="freq">
          131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Receptionists
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Library clerks
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          Time keepers
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          Coders
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          Ticket sellers
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          Ticket collectors, checkers and examiners
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          Office attendants(peons, daftries, etc.)
        </labl>
        <catStat type="freq">
          1407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          Clerical &amp; related workers(including proof readers &amp; copy holders), n.e.c.
        </labl>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Station masters and station superintendents, transport
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          Postmasters, telegraph masters and other supervisors
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          Transport &amp; communication supervisor, n.e.c.
        </labl>
        <catStat type="freq">
          83
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Guards and breaks men, railway
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Conductors, transport
        </labl>
        <catStat type="freq">
          170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          Transport conductors and guards, n.e.c.
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Postmen
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          Messengers and dispatch riders
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          Mail distributors and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Telephone operators
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          Telegraphists and signallers
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Radio communication and wireless operators
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Telephone and telegraph operators, n.e.c.
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Merchants and shopkeepers, wholesale trade
        </labl>
        <catStat type="freq">
          623
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Merchants and shopkeepers, retail trade
        </labl>
        <catStat type="freq">
          6882
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          Merchants &amp; shop keepers &amp; wholesale &amp; retail trade, n.e.c.
        </labl>
        <catStat type="freq">
          142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Sales supervisors
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Purchasing agents
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Selling agents
        </labl>
        <catStat type="freq">
          150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Manufacturers agents, n.e.c.
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Technical salesmen and service advisors
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Commercial travellers
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          Technical salesmen and commercial travellers, n.e.c.
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Salesmen, shop assistants and demonstrators
        </labl>
        <catStat type="freq">
          891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Street vendors, canvassers and news vendors
        </labl>
        <catStat type="freq">
          1133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          Salesmen, shop assistants &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Agents and salesmen, insurance
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          Agents, brokers and salesmen, real estate
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Agents and brokers, securities and shares
        </labl>
        <catStat type="freq">
          49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          Agents, brokers &amp; salesmen, advertising &amp; other business services
        </labl>
        <catStat type="freq">
          266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          Auctioneers
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          Valuers and appraisers
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          Insurance, real estate, securities &amp; business services, salesmen &amp; auctioneers, n.e.c.
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Money lenders (including indigenous bankers)
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Pawn brokers
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          Money lenders and pawn brokers, n.e.c.
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          Sales workers, n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Hotel and restaurant keepers
        </labl>
        <catStat type="freq">
          408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          House keepers, matrons and stewards
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Cooks and cook bearers
        </labl>
        <catStat type="freq">
          249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Butlers, bearers and waiters
        </labl>
        <catStat type="freq">
          190
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Bartenders and related workers
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          Cooks, waiters and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Ayahs, nurse, maids
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Domestic servants
        </labl>
        <catStat type="freq">
          293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          Maids and related housekeeping service workers, n.e.c.
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Building caretakers
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          Sweepers, cleaners and related workers
        </labl>
        <catStat type="freq">
          509
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          542
        </catValu>
        <labl>
          Watermen
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          549
        </catValu>
        <labl>
          Building caretakers, sweepers, cleaners &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Laundrymen, washermen and dhobis
        </labl>
        <catStat type="freq">
          327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Dry cleaners and pressers
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          Launderers, dry cleaners and pressers, n.e.c.
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Hair dressers, barbers, beauticians &amp; related workers
        </labl>
        <catStat type="freq">
          485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Fire fighters
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          571
        </catValu>
        <labl>
          Policemen and detectives
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          572
        </catValu>
        <labl>
          Customs examiners, patrollers &amp; related workers
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          573
        </catValu>
        <labl>
          Protection force, home guard and security workers
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          Watchmen, chowkidars and gate keepers
        </labl>
        <catStat type="freq">
          723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          579
        </catValu>
        <labl>
          Protective service workers, n.e.c.
        </labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          590
        </catValu>
        <labl>
          Guides
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Undertakers and embalmers
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          599
        </catValu>
        <labl>
          Service workers, n.e.c.
        </labl>
        <catStat type="freq">
          135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Farm managers &amp; supervisors, crop production
        </labl>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Manager, plantation
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Farm managers, horticulture
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Farm manager, livestock farm
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Farm manager, dairy farm
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          605
        </catValu>
        <labl>
          Farm manager, poultry farm
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          Farm managers and supervisors, n.e.c.
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Cultivators (owners)
        </labl>
        <catStat type="freq">
          30326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Cultivators (tenants)
        </labl>
        <catStat type="freq">
          586
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          Cultivators, n.e.c.
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Planters
        </labl>
        <catStat type="freq">
          920
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Livestock farmers
        </labl>
        <catStat type="freq">
          299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Dairy farmers
        </labl>
        <catStat type="freq">
          301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          623
        </catValu>
        <labl>
          Poultry farmers
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          624
        </catValu>
        <labl>
          Insect rearers
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          625
        </catValu>
        <labl>
          Orchard, vineyard and related workers
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          629
        </catValu>
        <labl>
          Farmers, other than cultivators, n.e.c.
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Agricultural labourers
        </labl>
        <catStat type="freq">
          17392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Plantation labourers
        </labl>
        <catStat type="freq">
          868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Tappers (palm, rubber trees, etc.)
        </labl>
        <catStat type="freq">
          142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          Plantation labourers and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Farm machinery operators
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Farm workers, animal, birds and insect rearing
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Gardeners and nursery workers
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Other farm workers, n.e.c.
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Foresters and related workers
        </labl>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          661
        </catValu>
        <labl>
          Harvesters &amp; gatherers of forest products including lac (except logs)
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Log fellers and wood cutters
        </labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Charcoal burners &amp; forest product processors
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          669
        </catValu>
        <labl>
          Loggers and other forestry workers, n.e.c.
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Hunters
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          671
        </catValu>
        <labl>
          Trappers
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          679
        </catValu>
        <labl>
          Hunters and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Fishermen, deep sea
        </labl>
        <catStat type="freq">
          223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          681
        </catValu>
        <labl>
          Fishermen, inland and coastal waters
        </labl>
        <catStat type="freq">
          257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Conch &amp; shell gatherers, sponge &amp; pearl divers
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          689
        </catValu>
        <labl>
          Fishermen and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Supervisor &amp; foreman, mining, quarrying, well drilling &amp; related activities
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Miners
        </labl>
        <catStat type="freq">
          118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Quarrymen
        </labl>
        <catStat type="freq">
          127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Drillers, mines and quarries
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Shot firers
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          715
        </catValu>
        <labl>
          Miners and quarrymen, other
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Well drillers, petroleum and gas
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          717
        </catValu>
        <labl>
          Well drillers, other than petroleum and gas
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          718
        </catValu>
        <labl>
          Mineral treaters
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          719
        </catValu>
        <labl>
          Miners, quarrymen &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Supervisors &amp; foremen, metal smelting converting refining
        </labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Metal smelting, converting &amp; refining furnace men
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Metal rolling mill workers
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Metal melters and reheaters
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Metal casters
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          725
        </catValu>
        <labl>
          Metal moulder and core makers
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          726
        </catValu>
        <labl>
          Metal annealers, temperers and case hardeners
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          727
        </catValu>
        <labl>
          Metal drawers and extruders
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          Metal platters and coaters
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Metal processors, n.e.c.
        </labl>
        <catStat type="freq">
          58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          730
        </catValu>
        <labl>
          Supervisor &amp; foreman, wood preparation &amp; paper making
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Wood treaters
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Sawyers, plywood makers &amp; related wood processing workers
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl>
          Paper pulp preparers
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          734
        </catValu>
        <labl>
          Paper makers
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          739
        </catValu>
        <labl>
          Wood preparation and paper making workers n.e.c.
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Supervisor &amp; foreman, chemical processing &amp; related activities
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Crushers, grinders and mixers
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Cookers, roasters and related heat treaters
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Filter and separator operators
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Still and reactor operators
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          745
        </catValu>
        <labl>
          Petroleum refining workers
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Chemical processors and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          Supervisors &amp; foremen, spinning, weaving, knitting, dyeing &amp; related processes
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Fibre preparers
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Spinners and winders
        </labl>
        <catStat type="freq">
          226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Warpers and sizers
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          754
        </catValu>
        <labl>
          Weaving &amp; knitting machine setters &amp; pattern card preparers
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          755
        </catValu>
        <labl>
          Weavers and related workers
        </labl>
        <catStat type="freq">
          929
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Carpet makers and finishers
        </labl>
        <catStat type="freq">
          105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          757
        </catValu>
        <labl>
          Knitters
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          758
        </catValu>
        <labl>
          Bleachers, dyers and textile product finishers
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          759
        </catValu>
        <labl>
          Spinners, weavers,k nitters,dyers &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Supervisors &amp; foremen, tanning &amp; pelt dressing
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          761
        </catValu>
        <labl>
          Tanners and fell mongers
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Pelt dressers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          769
        </catValu>
        <labl>
          Fell mongers and pelt dressers, n.e.c.
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          770
        </catValu>
        <labl>
          Supervisors &amp; foremen, food &amp; beverage processing
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          771
        </catValu>
        <labl>
          Grain millers, parchers and related workers
        </labl>
        <catStat type="freq">
          266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Crushers and pressers, oil seeds
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          773
        </catValu>
        <labl>
          Khandsari, sugar and gur makers
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          774
        </catValu>
        <labl>
          Butchers and meat preparers
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          775
        </catValu>
        <labl>
          Food preservers and canners
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          776
        </catValu>
        <labl>
          Dairy product processors
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          777
        </catValu>
        <labl>
          Bakers, confectioners, candy &amp; sweet meat makers, other food processors
        </labl>
        <catStat type="freq">
          175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          778
        </catValu>
        <labl>
          Tea, coffee &amp; cocoa prepares
        </labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          779
        </catValu>
        <labl>
          Brewers &amp; aerated water &amp; beverage makers
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          Supervisors &amp; foremen tobacco &amp; tobacco product makers
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          781
        </catValu>
        <labl>
          Tobacco prepares
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          782
        </catValu>
        <labl>
          Cigar makers
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          783
        </catValu>
        <labl>
          Cigarette makers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          Bidi makers
        </labl>
        <catStat type="freq">
          440
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          789
        </catValu>
        <labl>
          Tobacco prepares and tobacco product makers, n.e.c.
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          790
        </catValu>
        <labl>
          Supervisors &amp; foremen, tailoring, dress making, sewing, upholsterywork
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          791
        </catValu>
        <labl>
          Tailors and dress makers
        </labl>
        <catStat type="freq">
          1105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Fur tailors and related workers
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          793
        </catValu>
        <labl>
          Milliners, hat and cap makers
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          794
        </catValu>
        <labl>
          Pattern makers and cutters
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Sewers and embroiders
        </labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          796
        </catValu>
        <labl>
          Upholsterers and related workers
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          799
        </catValu>
        <labl>
          Tailors, dressmakers, sewers, upholsterers &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Supervisor &amp; foremen, shoe &amp; leather goods making
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Shoe makers &amp; shoe repairers
        </labl>
        <catStat type="freq">
          193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Shoe cutters, lasters, sewers and related workers
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Harness and saddle makers
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          809
        </catValu>
        <labl>
          Leather, cutters, lasters &amp; sewers &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          810
        </catValu>
        <labl>
          Supervisors, foremen, carpentery, cabinet making related wood working processes
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Carpenter
        </labl>
        <catStat type="freq">
          923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Cabinet makers
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Wood working machine operators
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Cart builders and wheel wrights
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Coach and body builders
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Shipwrights and boat builders
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          819
        </catValu>
        <labl>
          Carpenters, cabinet makers &amp; related workers,n.e.c.
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          820
        </catValu>
        <labl>
          Supervisors and foremen, stone cutting and carving
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Stone cutter and carvers
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Stone cutters and carvers, n.e.c.
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Supervisors &amp; foremen, blacksmithy, tool making and machine tool operations
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Blacksmiths, hammersmiths &amp; forgin g press operators
        </labl>
        <catStat type="freq">
          194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Metal markers
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Tool makers and metal pattern makers
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Machine tool setters
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          835
        </catValu>
        <labl>
          Machine tool operators
        </labl>
        <catStat type="freq">
          290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          836
        </catValu>
        <labl>
          Metal grinders, polishers and tool sharpeners
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          839
        </catValu>
        <labl>
          Blacksmiths, toolmakers, machine tool operators, n.e.c.
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          Supervisors &amp; foreman, machinery fitting, assembling, reparing &amp; precision instrument making (except electrical)
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          841
        </catValu>
        <labl>
          Watch, clock &amp; precision instrument makers (except electrical)
        </labl>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          842
        </catValu>
        <labl>
          Machinery fitters and machine assemblers
        </labl>
        <catStat type="freq">
          243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          843
        </catValu>
        <labl>
          Motor vehicle mechanics
        </labl>
        <catStat type="freq">
          321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          844
        </catValu>
        <labl>
          Aircraft engine mechanics
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          845
        </catValu>
        <labl>
          Mechanics, repairmen, other
        </labl>
        <catStat type="freq">
          567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          849
        </catValu>
        <labl>
          Machinery fitters, machine assemblers &amp; precision instrument makers(except electrical), n.e.c.
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          Supervisors &amp; foremen, electrical &amp; electronic equipment fitting, assembling, installing &amp; repairing
        </labl>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Electricians, electrical fitters and related workers
        </labl>
        <catStat type="freq">
          371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Electronics fitters
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Electric and electronic equipment assemblers
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Radio television mechanics and repairmen
        </labl>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          855
        </catValu>
        <labl>
          Electrical wiremen
        </labl>
        <catStat type="freq">
          114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          856
        </catValu>
        <labl>
          Telephone and telegraph installers and repairmen
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          857
        </catValu>
        <labl>
          Electric linemen and cable jointers
        </labl>
        <catStat type="freq">
          189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          859
        </catValu>
        <labl>
          Electrical fitters &amp; related electrical &amp; electronic workers, n.e.c.
        </labl>
        <catStat type="freq">
          114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Supvisors, broadcasting, audio-visual projection &amp; sound equipment operators
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          861
        </catValu>
        <labl>
          Radio broadcasting televisio n operators
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Sound equipment operators &amp; cinema projectionists
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          869
        </catValu>
        <labl>
          Broadcasting station &amp; sound equipment operators &amp; cinema projectionists
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          870
        </catValu>
        <labl>
          Supervisors, foremen, plumbing, welding structural &amp; sheet metal working
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          871
        </catValu>
        <labl>
          Plumbers and pipe fitters
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          872
        </catValu>
        <labl>
          Welders and flame cutters
        </labl>
        <catStat type="freq">
          226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          873
        </catValu>
        <labl>
          Sheet metal workers
        </labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          874
        </catValu>
        <labl>
          Metal plate and structural metal workers
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          879
        </catValu>
        <labl>
          Plumbers, welders, sheet metal &amp; structural metal preparers &amp; erectors, n.e.c.
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          880
        </catValu>
        <labl>
          Supervisors, jewellery and precious metal working
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          881
        </catValu>
        <labl>
          Jewellers, goldsmiths &amp; silversmiths
        </labl>
        <catStat type="freq">
          469
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          882
        </catValu>
        <labl>
          Jewellery engravers
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          883
        </catValu>
        <labl>
          Other metal engravers (except printing)
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          889
        </catValu>
        <labl>
          Jewellers &amp; precious metal workers, n.e.c. (except printing)
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          890
        </catValu>
        <labl>
          Supervisors &amp; foremen, glass forming, pottery &amp; related activities
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          891
        </catValu>
        <labl>
          Glass formers, cutters, grinders and finishers
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          892
        </catValu>
        <labl>
          Potters and related clay &amp; abrasive formers
        </labl>
        <catStat type="freq">
          197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          893
        </catValu>
        <labl>
          Glass and ceramic kilnmen
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Glass engravers and etchers
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          895
        </catValu>
        <labl>
          Glass and ceramics painters and decorators
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          899
        </catValu>
        <labl>
          Glass formers, potters &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Supervisors &amp;foremen, rubber &amp;plastics product making
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          901
        </catValu>
        <labl>
          Plastics product makers
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Rubber product makers (except tyre makers &amp; vulcanisers)
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          903
        </catValu>
        <labl>
          Tyre makers and vulcanisers
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          909
        </catValu>
        <labl>
          Rubber and plastics product makers, n.e.c.
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          910
        </catValu>
        <labl>
          Supervisors &amp; foremen paper &amp; paper board product making
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Paper and paper board product makers
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          919
        </catValu>
        <labl>
          Paper and paper product makers, n.e.c.
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          920
        </catValu>
        <labl>
          Supervisors &amp; foremen printing &amp; related work
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Compositors
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          922
        </catValu>
        <labl>
          Type setters and photo-type setters
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          923
        </catValu>
        <labl>
          Printing pressman
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          924
        </catValu>
        <labl>
          Stereo-typers and electro-typers
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          925
        </catValu>
        <labl>
          Engravers, printing (except photo engravers)
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          926
        </catValu>
        <labl>
          Photo engravers
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          927
        </catValu>
        <labl>
          Book binders and related workers
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          928
        </catValu>
        <labl>
          Photographic dark room workers
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          929
        </catValu>
        <labl>
          Printers and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          930
        </catValu>
        <labl>
          Supervisors and foremen, painting
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Painters, construction
        </labl>
        <catStat type="freq">
          142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Painters, spray and sign writing
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          939
        </catValu>
        <labl>
          Painters, n.e.c.
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          940
        </catValu>
        <labl>
          Supervisors and foremen production &amp; related activities, n.e.c.
        </labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Musical instrument makers and tuners
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          942
        </catValu>
        <labl>
          Basketry weavers and brush makers
        </labl>
        <catStat type="freq">
          194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          943
        </catValu>
        <labl>
          Non-metallic mineral product makers
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          949
        </catValu>
        <labl>
          Production and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          950
        </catValu>
        <labl>
          Supervisors &amp; foremen, bricklaying other construction work
        </labl>
        <catStat type="freq">
          138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl>
          Bricklayers, stone masons and tile setters
        </labl>
        <catStat type="freq">
          1061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          952
        </catValu>
        <labl>
          Reinforced concreters, cement finishers and terrazzo workers
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          953
        </catValu>
        <labl>
          Roofers
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          954
        </catValu>
        <labl>
          Parquetry workers
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          955
        </catValu>
        <labl>
          Plasterers
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          956
        </catValu>
        <labl>
          Insulators
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          957
        </catValu>
        <labl>
          Glaziers
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          958
        </catValu>
        <labl>
          Hut builders and thatchers
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          959
        </catValu>
        <labl>
          Construction workers, n.e.c.
        </labl>
        <catStat type="freq">
          940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          960
        </catValu>
        <labl>
          Supervisors &amp; foremen, stationary &amp;related equipment operations
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          961
        </catValu>
        <labl>
          Stationary engine &amp;related equipment operators
        </labl>
        <catStat type="freq">
          114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          962
        </catValu>
        <labl>
          Boilermen and firemen
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          963
        </catValu>
        <labl>
          Oilers &amp; greasers(including cleaners motor vehicle)
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          969
        </catValu>
        <labl>
          Stationary engine &amp; related equipment operators, n.e.c.
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          970
        </catValu>
        <labl>
          Supervisors &amp; foremen, material &amp; freight handling &amp; related equipment operators
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          971
        </catValu>
        <labl>
          Loaders and unloaders
        </labl>
        <catStat type="freq">
          659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          972
        </catValu>
        <labl>
          Riggers and cable splicer
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          973
        </catValu>
        <labl>
          Crane and hoist operators
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          974
        </catValu>
        <labl>
          Earth moving &amp; related machinery operators
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          975
        </catValu>
        <labl>
          Checkers, testers, sorters, weighers and counters
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          976
        </catValu>
        <labl>
          Packers, labellers and related workers
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          979
        </catValu>
        <labl>
          Material handling equipment operators, n.e.c.
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          980
        </catValu>
        <labl>
          Supervisors &amp;foremen, transport equipment operation
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          981
        </catValu>
        <labl>
          Ships 'deck ratings, barge crews and boatmen
        </labl>
        <catStat type="freq">
          152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          982
        </catValu>
        <labl>
          Ships' engine room ratings
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          983
        </catValu>
        <labl>
          Drivers, railways
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          984
        </catValu>
        <labl>
          Firemen, railways
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          985
        </catValu>
        <labl>
          Pointsmen, signalmen and shunters, railways
        </labl>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          986
        </catValu>
        <labl>
          Tram car and motor vehicle drivers
        </labl>
        <catStat type="freq">
          1604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          987
        </catValu>
        <labl>
          Drivers, animal and animal drawn vehicles
        </labl>
        <catStat type="freq">
          211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          988
        </catValu>
        <labl>
          Cycle rickshaw drivers and rickshaw pullers
        </labl>
        <catStat type="freq">
          699
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          989
        </catValu>
        <labl>
          Transport equipment operators and drivers, n.e.c.
        </labl>
        <catStat type="freq">
          288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Labourers, other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          3743
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          X01
        </catValu>
        <labl>
          Workers without occupations, metric and above
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          X02
        </catValu>
        <labl>
          Workers without occupations, literate
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          X09
        </catValu>
        <labl>
          Workers without occupations, others
        </labl>
        <catStat type="freq">
          210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          X10
        </catValu>
        <labl>
          Workers reporting occupations unidentified or unclassified
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          X99
        </catValu>
        <labl>
          Workers not reporting any occupation
        </labl>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V447" name="B3_1_q3" files="F12" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Type Code
      </labl>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V565" name="HH_Type" files="F12" intrvl="discrete">
      <location StartPos="57" EndPos="58" width="2" RecSegNo="1"/>
      <labl>
        Household type with sector
      </labl>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Invalid - rural
        </labl>
        <catStat type="freq">
          2031
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          self-employed in non-agriculture - rural
        </labl>
        <catStat type="freq">
          8347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          agricultural labour - rural
        </labl>
        <catStat type="freq">
          16786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[other labour  - rural ]]></labl>
        <catStat type="freq">
          5097
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          self-employed in agriculture - rural
        </labl>
        <catStat type="freq">
          29175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Others - rural
        </labl>
        <catStat type="freq">
          7770
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Invalid - urban
        </labl>
        <catStat type="freq">
          740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          self-employed - urban
        </labl>
        <catStat type="freq">
          16273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          regular wage/salary earning - urban
        </labl>
        <catStat type="freq">
          19846
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          casual labour - urban
        </labl>
        <catStat type="freq">
          5338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Others - urban
        </labl>
        <catStat type="freq">
          3951
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived by concatenating the variables "sector" and "household type" to enable the users to easily access information on "sector wise household type".
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V448" name="B3_1_q4" files="F12" intrvl="discrete">
      <location StartPos="59" EndPos="59" width="1" RecSegNo="1"/>
      <labl>
        Religion Code
      </labl>
      <qstn>
        <qstnLit>
          What is your religion?
        </qstnLit>
        <ivuInstr><![CDATA[The religion of the household will be recorded against this item in codes.  If different mem­bers of the household claim to belong to different religions, the religion of the head of the household will be considered as the religion of the households.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Hinduism
        </labl>
        <catStat type="freq">
          91423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Islam
        </labl>
        <catStat type="freq">
          12113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Christianity
        </labl>
        <catStat type="freq">
          6512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sikhism
        </labl>
        <catStat type="freq">
          2577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Jainism
        </labl>
        <catStat type="freq">
          444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Buddhism
        </labl>
        <catStat type="freq">
          985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Zoroastrianism
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1227
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V449" name="B3_1_q5" files="F12" intrvl="discrete">
      <location StartPos="60" EndPos="60" width="1" RecSegNo="1"/>
      <labl>
        Social Group Code
      </labl>
      <qstn>
        <qstnLit>
          Which social group do you belong to?
        </qstnLit>
        <postQTxt><![CDATA[Do you come under scheduled caste or  scheduled tribe or others category?]]></postQTxt>
        <ivuInstr><![CDATA[Whether or not the household belongs to scheduled tribe or scheduled caste will be indicated against this item in terms of the specified codes which are :

                scheduled tribe .....................  1
                scheduled caste ....................  2
                others ..................................  9

Those who do not come under any one of first two groups will be assigned code 9 meant to cover all other categories.  In case different members belong to different social groups, the group to which the head of the households belongs will be considered as the 's­ocial group' and the group code appropriate for the household will be assigned.  It may be noted that household belonging to neo-Buddhist category will also be considered as scheduled caste.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Scheduled Tribe
        </labl>
        <catStat type="freq">
          13449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Scheduled Caste
        </labl>
        <catStat type="freq">
          18299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          83531
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V450" name="B3_1_q6" files="F12" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        Whether owns any land
      </labl>
      <qstn>
        <qstnLit>
          Does the household own any land?
        </qstnLit>
        <ivuInstr><![CDATA[A plot of land is considered ' owned by the household' if perma­nent heritable possession, with or without the right to transfer the title is vested in a member of members of the household.  Land held in owner like possession under long term lease or as­signment is also considered as land owned.  Thus, in determining the ownership of a plot of land, two basic concepts are involved, namely, 

     (a)  land owned by the household i.e., land on which the household has the right of permanent heritable possession with or without the right to transfer the title e.g. pattadars, Bhumi­dars, Jenmons, Bhumiswamis, Rayat, Sithibans etc.  A plot of land may be leased out to others by the owner without losing the right of permanent heritable possession.

     (b)  Land held under special conditions such that the holder does nor possess the title of ownership but the right for long-term possession of the land (for example, land possessed under perpetual lease, hereditary tenure and long-term lease for 30 years or more) will be considered as being held under owner like possession.  In the states where land reform legislation has provided for full proprietorship to erstwhile tenants, they are to be considered as having owner-like possession, even if they have not paid the full compensation.

          Sometimes a plot may be possessed by a tribal in accor­dance with traditional tribal rights from local chieftains or villages/district council.  Again a plot may be occupied by a tenant for which the right of ownership vests in the community.  In both the cases the tribal or other individual (tenant) will be taken as owner, for in all such cases, the holder has owner-like possession of land in question.  (From Instructions to Field Staff - Vol.I, 48th round.)

          Against this item code 1 or 2 will be recorded depend­ing on whether the household owns any land or not as on the date of survey.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          95482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          19803
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V451" name="B3_1_q7" files="F12" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        Type of land owned
      </labl>
      <qstn>
        <qstnLit>
          What type of land do you own?
        </qstnLit>
        <ivuInstr><![CDATA[Item 7 :  if yes in item 6, type of land owned (home­stead only-1, homestead and other land - 2, other land only - 3)  :  Homestead of household is defined as the dwelling house of the household together with any courtyard, compound, garden, out-house, place of working, family courtyard, guest-house, shop, workshop/offices for running household enterprises, tanks, wells, latrine, drains and boundary walls which are annexed to the dwelling house.  All land coming under homestead is defined as homestead land.

          Homestead may constitute only a part of a plot.  Some-times gardens,, orchards or plantations, though adjacent to the homestead and lying within the boundary walls, may be located on a clearly distinct piece of land.  In such cases, land under garden, orchard or plantation will not be considered as homestead land and will be noted as other land'.

         Codes will be recorded against the item depending on the type of land owned.  If the household owns only homestead and no other land, the appropriate code will be 1.  But, if the house­hold owns some other piece of land along with homestead land, code 2 will be entered against this item.  Code 3 will be appli­cable when a household owns a piece of land but not the homestead land.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Homestead only
        </labl>
        <catStat type="freq">
          39914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Homestead &amp; other land
        </labl>
        <catStat type="freq">
          54259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other land only
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          21181
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V452" name="B3_1_q8" files="F12" dcml="2" intrvl="contin">
      <location StartPos="63" EndPos="68" width="6" RecSegNo="1"/>
      <labl>
        Land owned
      </labl>
      <qstn>
        <qstnLit>
          How much area of land is owned by the household in terms of (0.00) hectares?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="200.06"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        200.06
      </sumStat>
      <sumStat type="mean">
        0.935
      </sumStat>
      <sumStat type="stdev">
        2.793
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V453" name="B3_1_q9" files="F12" dcml="2" intrvl="contin">
      <location StartPos="69" EndPos="73" width="5" RecSegNo="1"/>
      <labl>
        Land leased in
      </labl>
      <qstn>
        <qstnLit>
          How much area of land is leased in by the household in terms of (0.00) hectares?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="33.06"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        33.06
      </sumStat>
      <sumStat type="mean">
        0.0413
      </sumStat>
      <sumStat type="stdev">
        0.388
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V454" name="B3_1_q10" files="F12" dcml="2" intrvl="contin">
      <location StartPos="74" EndPos="79" width="6" RecSegNo="1"/>
      <labl>
        Land neither owned nor leased in
      </labl>
      <qstn>
        <qstnLit>
          How much area of land is neither owned nor leased in by the household in terms of (0.00) hectares?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="523.14"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        523.14
      </sumStat>
      <sumStat type="mean">
        0.0128
      </sumStat>
      <sumStat type="stdev">
        1.547
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V455" name="B3_1_q11" files="F12" dcml="2" intrvl="contin">
      <location StartPos="80" EndPos="85" width="6" RecSegNo="1"/>
      <labl>
        Land leased out
      </labl>
      <qstn>
        <qstnLit><![CDATA[How much area of land is leased out  by the household in terms of (0.00) hectares?]]></qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="108.2"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        108.2
      </sumStat>
      <sumStat type="mean">
        0.0555
      </sumStat>
      <sumStat type="stdev">
        0.65
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V456" name="B3_1_q12" files="F12" dcml="2" intrvl="contin">
      <location StartPos="86" EndPos="91" width="6" RecSegNo="1"/>
      <labl>
        Total Land Possessed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="523.26"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        523.26
      </sumStat>
      <sumStat type="mean">
        0.933
      </sumStat>
      <sumStat type="stdev">
        3.153
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V457" name="B3_1_q13" files="F12" dcml="2" intrvl="contin">
      <location StartPos="92" EndPos="97" width="6" RecSegNo="1"/>
      <labl>
        Cultivated Land Owned
      </labl>
      <qstn>
        <qstnLit>
          How much area of cultivated land is owned by the household in terms of (0.00) hectares?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="199"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        199
      </sumStat>
      <sumStat type="mean">
        0.788
      </sumStat>
      <sumStat type="stdev">
        2.388
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V458" name="B3_1_q14" files="F12" dcml="2" intrvl="contin">
      <location StartPos="98" EndPos="102" width="5" RecSegNo="1"/>
      <labl>
        Cultivated Land Leased in
      </labl>
      <qstn>
        <qstnLit>
          How much area of cultivated land is leased in by the household in terms of (0.00) hectares?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="33"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        33
      </sumStat>
      <sumStat type="mean">
        0.0391
      </sumStat>
      <sumStat type="stdev">
        0.378
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V459" name="B3_1_q15" files="F12" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="107" width="5" RecSegNo="1"/>
      <labl>
        Cultivated Land Neither Owned Nor Leased In
      </labl>
      <qstn>
        <qstnLit>
          How much area of cultivated land is neither owned nor leased in by the household in terms of (0.00) hectares?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="12"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12
      </sumStat>
      <sumStat type="mean">
        0.0063
      </sumStat>
      <sumStat type="stdev">
        0.117
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V460" name="B3_1_q16" files="F12" dcml="2" intrvl="contin">
      <location StartPos="108" EndPos="113" width="6" RecSegNo="1"/>
      <labl>
        Total Cultivated Land
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="199"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        199
      </sumStat>
      <sumStat type="mean">
        0.833
      </sumStat>
      <sumStat type="stdev">
        2.449
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V461" name="B3_1_q17" files="F12" dcml="2" intrvl="contin">
      <location StartPos="114" EndPos="118" width="5" RecSegNo="1"/>
      <labl>
        Land Irrigated
      </labl>
      <qstn>
        <qstnLit><![CDATA[How much net area of  land is irrigated out of the cultivated land owned by the household in terms of (0.00) hectares?]]></qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="96"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        96
      </sumStat>
      <sumStat type="mean">
        0.359
      </sumStat>
      <sumStat type="stdev">
        1.332
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V462" name="B3_1_q18" files="F12" intrvl="discrete">
      <location StartPos="119" EndPos="119" width="1" RecSegNo="1"/>
      <labl>
        Crop Production Code
      </labl>
      <qstn>
        <qstnLit>
          Does the household use hired labour for crop production?
        </qstnLit>
        <ivuInstr><![CDATA[Against these items, information  relating to the use of hired labour by the household during the last 365 days for crop production and any other enterprises will be recorded against items 18 and 19 respectively in codes.  

for item 18
hired labour  :  regularly  ...............................  1
                 during peak season only  ..............  2
                 casually  .......................................  3
hired no labour ..............................................  4
no crop production ........................................  5]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Use of hired labour for crop production : regularly
        </labl>
        <catStat type="freq">
          4882
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Use of hired labour for crop production : during peak seasons only
        </labl>
        <catStat type="freq">
          16100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Use of hired labour for crop production : casually
        </labl>
        <catStat type="freq">
          6885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Hires no labour for crop production
        </labl>
        <catStat type="freq">
          21830
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          No crop production
        </labl>
        <catStat type="freq">
          65073
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          584
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V463" name="B3_1_q19" files="F12" intrvl="discrete">
      <location StartPos="120" EndPos="120" width="1" RecSegNo="1"/>
      <labl>
        Other Production Enterprise Code
      </labl>
      <qstn>
        <qstnLit>
          Does the household use hired labour for other productive enterprise?
        </qstnLit>
        <ivuInstr><![CDATA[Against these items, information  relating to the use of hired labour by the household during the last 365 days for crop production and any other enterprises will be recorded against items 18 and 19 respectively in codes.  

                     for item 19
hired labour  :    regularly  .............................. 1
                   during peak season only  ............. 2
                   casually  .....................................  3
hired no labour ............................................... 4
no other productive enterprise operated  ......... 5]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Hires labour: regularly
        </labl>
        <catStat type="freq">
          3747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Hires labour: during peak seasons only
        </labl>
        <catStat type="freq">
          1600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Hires labour: casually
        </labl>
        <catStat type="freq">
          1742
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Hires no labour for other productive enterprises
        </labl>
        <catStat type="freq">
          24025
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          No other productive enterprise
        </labl>
        <catStat type="freq">
          83595
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V464" name="B3_1_q20" files="F12" dcml="2" intrvl="contin">
      <location StartPos="121" EndPos="128" width="8" RecSegNo="1"/>
      <labl>
        Per Capita Expenditure Last Month (Rs.0.00)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[This item will be filled in after completing recording of entries in block 14, 'Summary of consumer expenditure'.  The derived figure recorded in block 14, item 33, column (6), will be copied here.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="68558.97"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        68558.97
      </sumStat>
      <sumStat type="mean">
        432.165
      </sumStat>
      <sumStat type="stdev">
        582.585
      </sumStat>
      <txt>
        For a household, this is household consumer expenditure over a period of 30 days divided by household size. A person's MPCE is understood as that of the household to which he/she belongs.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V465" name="B3_1_q21" files="F12" intrvl="discrete">
      <location StartPos="129" EndPos="129" width="1" RecSegNo="1"/>
      <labl>
        Cooking Code
      </labl>
      <qstn>
        <qstnLit>
          What is the primary source of energy that is being used by the household for cooking?
        </qstnLit>
        <ivuInstr><![CDATA[Against these two items, the appropriate codes for the primary sourceof energy that is being use by the household for the purposes of cooking and lighting respectively will be recorded.  If more than one type of energy is utilised, the primary or principal one on the basis of its use will have to be identified and the corresponding code will be noted in the appropriate box.

The sources of energy codes will be restricted to the following :

                           fuel
      coke, coal .......................  1             charcoal ............................  6  
      firewood and chips .........  2              kerosene ...........................  7
      gas (coal), oil or L.P.G.)..  3             others ................................  8 
      gobar gas ........................  4             no cooking arrangement….  9
      dung cake .......................  5]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl><![CDATA[  coke, coal]]></labl>
        <catStat type="freq">
          3397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl><![CDATA[   firewood and chips]]></labl>
        <catStat type="freq">
          69036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl><![CDATA[  gas (coal, oil or LPG)]]></labl>
        <catStat type="freq">
          17390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl><![CDATA[  gobar gas]]></labl>
        <catStat type="freq">
          428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl><![CDATA[  dung cake]]></labl>
        <catStat type="freq">
          8061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl><![CDATA[  charcoal]]></labl>
        <catStat type="freq">
          173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl><![CDATA[  kerosene]]></labl>
        <catStat type="freq">
          11323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl><![CDATA[  others]]></labl>
        <catStat type="freq">
          3090
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl><![CDATA[  no cooking arrangement]]></labl>
        <catStat type="freq">
          2403
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V466" name="B3_1_q22" files="F12" intrvl="discrete">
      <location StartPos="130" EndPos="130" width="1" RecSegNo="1"/>
      <labl>
        Lighting Code
      </labl>
      <qstn>
        <qstnLit>
          What is the primary source of energy that is being used by the household for lighting?
        </qstnLit>
        <ivuInstr><![CDATA[Against these two items, the appropriate codes for the primary source of energy that is being use by the household for the purposes of cooking and lighting respectively will be recorded.  If more than one type of energy is utilised, the primary or principal one on the basis of its use will have to be identified and the corresponding code will be noted in the appropriate box.

lighting
      kerosene ...................  1        candle ..............................  4
      other oil ...................   2        electricity .........................  5 
      gas ...........................  3        others ...............................  8 
                                                   no lighting arrangement….  9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          kerosene
        </labl>
        <catStat type="freq">
          45004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          other oil
        </labl>
        <catStat type="freq">
          308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          gas
        </labl>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          candle
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          electricity
        </labl>
        <catStat type="freq">
          69132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          No lighting arrangement
        </labl>
        <catStat type="freq">
          468
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V467" name="B3_2_q1_1" files="F12" intrvl="discrete">
      <location StartPos="131" EndPos="131" width="1" RecSegNo="1"/>
      <labl>
        Did household grow rice?
      </labl>
      <qstn>
        <qstnLit>
          During the last agricultural year did the household grow/cultivate rice?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          33114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          82083
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V468" name="B3_2_q1_2" files="F12" intrvl="discrete">
      <location StartPos="132" EndPos="132" width="1" RecSegNo="1"/>
      <labl>
        Did household grow wheat?
      </labl>
      <qstn>
        <qstnLit>
          During the last agricultural year did the household grow/cultivate wheat?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          21843
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          93402
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V469" name="B3_2_q1_3" files="F12" intrvl="discrete">
      <location StartPos="133" EndPos="133" width="1" RecSegNo="1"/>
      <labl>
        Did household grow jowar?
      </labl>
      <qstn>
        <qstnLit>
          During the last agricultural year did the household grow/cultivate jowar?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          8058
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          107188
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V470" name="B3_2_q1_4" files="F12" intrvl="discrete">
      <location StartPos="134" EndPos="134" width="1" RecSegNo="1"/>
      <labl>
        Did household grow bajra?
      </labl>
      <qstn>
        <qstnLit>
          During the last agricultural year did the household grow/cultivate bajra?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          5769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          109478
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V471" name="B3_2_q1_5" files="F12" intrvl="discrete">
      <location StartPos="135" EndPos="135" width="1" RecSegNo="1"/>
      <labl>
        Did household grow maize?
      </labl>
      <qstn>
        <qstnLit>
          During the last agricultural year did the household grow/cultivate maize?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          13908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          101335
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V472" name="B3_2_q1_6" files="F12" intrvl="discrete">
      <location StartPos="136" EndPos="136" width="1" RecSegNo="1"/>
      <labl>
        Did household grow barley?
      </labl>
      <qstn>
        <qstnLit>
          During the last agricultural year did the household grow/cultivate barley?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          3343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          111900
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V473" name="B3_2_q1_7" files="F12" intrvl="discrete">
      <location StartPos="137" EndPos="137" width="1" RecSegNo="1"/>
      <labl>
        Did household grow ragi?
      </labl>
      <qstn>
        <qstnLit>
          During the last agricultural year did the household grow/cultivate ragi?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          2498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          112746
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V474" name="B3_2_q1_8" files="F12" intrvl="discrete">
      <location StartPos="138" EndPos="138" width="1" RecSegNo="1"/>
      <labl>
        Did household grow gram?
      </labl>
      <qstn>
        <qstnLit>
          During the last agricultural year did the household grow/cultivate gram?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          8362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          106876
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V475" name="B3_2_q2" files="F12" intrvl="discrete">
      <location StartPos="139" EndPos="139" width="1" RecSegNo="1"/>
      <labl>
        Did any member work for 60 days
      </labl>
      <qstn>
        <qstnLit>
          Did any number of the household work for at least 60 days on public works during last 365 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          4215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          110901
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V476" name="B3_2_q3_1" files="F12" intrvl="discrete">
      <location StartPos="140" EndPos="140" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Cultivation
      </labl>
      <qstn>
        <qstnLit>
          During preceding 365 days did the household receive any income from cultivation?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          49484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          65772
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V477" name="B3_2_q3_2" files="F12" intrvl="discrete">
      <location StartPos="141" EndPos="141" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Fishing other
      </labl>
      <qstn>
        <qstnLit>
          During preceding 365 days did the household receive any income from fishing?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          17502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          97753
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V478" name="B3_2_q3_3" files="F12" intrvl="discrete">
      <location StartPos="142" EndPos="142" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from wage salaried enterprise
      </labl>
      <qstn>
        <qstnLit>
          During preceding 365 days did the household receive any income from wage, salaried enterprise?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          63341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          51908
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V479" name="B3_2_q3_4" files="F12" intrvl="discrete">
      <location StartPos="143" EndPos="143" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from non agricultural enterprise
      </labl>
      <qstn>
        <qstnLit>
          During preceding 365 days did the household receive any income from non agricultural enterprise?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          29187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          86063
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V480" name="B3_2_q3_5" files="F12" intrvl="discrete">
      <location StartPos="144" EndPos="144" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Pension
      </labl>
      <qstn>
        <qstnLit>
          During preceding 365 days did the household receive any income from pension?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          4583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          110670
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V481" name="B3_2_q3_6" files="F12" intrvl="discrete">
      <location StartPos="145" EndPos="145" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Remittance
      </labl>
      <qstn>
        <qstnLit>
          During preceding 365 days did the household receive any income from remittance?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          9553
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          105695
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V482" name="B3_2_q3_7" files="F12" intrvl="discrete">
      <location StartPos="146" EndPos="146" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Interest &amp; Dividends
      </labl>
      <qstn>
        <qstnLit>
          During preceding 365 days did the household receive any income from interest &amp; dividends?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          6736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          108513
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V483" name="B3_2_q3_8" files="F12" intrvl="discrete">
      <location StartPos="147" EndPos="147" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Others
      </labl>
      <qstn>
        <qstnLit>
          During preceding 365 days did the household receive any income from others?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          13262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          101910
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V484" name="B3_2_q4" files="F12" intrvl="discrete">
      <location StartPos="148" EndPos="148" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Milch animals
      </labl>
      <qstn>
        <preQTxt>
          Does the household possess milch animals?
        </preQTxt>
        <qstnLit>
          During preceding 365 days did the household receive any income from milch animals?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          76156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Cows
        </labl>
        <catStat type="freq">
          19110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Buffaloes
        </labl>
        <catStat type="freq">
          11591
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Both cows and buffaloes
        </labl>
        <catStat type="freq">
          5297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          3060
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V485" name="B3_2_q5" files="F12" intrvl="discrete">
      <location StartPos="149" EndPos="149" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Draught Animals
      </labl>
      <qstn>
        <preQTxt>
          Does the household possess draught animals?
        </preQTxt>
        <qstnLit>
          During preceding 365 days did the household receive any income from draught animals?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          91651
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Single draught animal
        </labl>
        <catStat type="freq">
          6375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          A pair or more
        </labl>
        <catStat type="freq">
          17147
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V486" name="B3_2_q6" files="F12" intrvl="discrete">
      <location StartPos="150" EndPos="150" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Assistance from IRDP
      </labl>
      <qstn>
        <qstnLit>
          Did the household receive any assistance during the last 5 years from IRDP?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          109914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Milch animal
        </labl>
        <catStat type="freq">
          2222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Draught animal
        </labl>
        <catStat type="freq">
          473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sheep/goat
        </labl>
        <catStat type="freq">
          270
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pump set
        </labl>
        <catStat type="freq">
          375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Fish pond
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Sewing machine
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1812
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V487" name="B3_2_q7" files="F12" intrvl="discrete">
      <location StartPos="151" EndPos="151" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Ration Fair Price Shop
      </labl>
      <qstn>
        <qstnLit>
          Did the household purchase any commodity from ration/fair price shop during last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          85454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          29734
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V488" name="B3_2_q8_1" files="F12" intrvl="discrete">
      <location StartPos="152" EndPos="152" width="1" RecSegNo="1"/>
      <labl>
        Do you consume - Bananas ?
      </labl>
      <qstn>
        <qstnLit>
          Did the member of the household consume bananas during the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          64231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          50935
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V489" name="B3_2_q8_2" files="F12" intrvl="discrete">
      <location StartPos="153" EndPos="153" width="1" RecSegNo="1"/>
      <labl>
        Do you consume - Mangoes?
      </labl>
      <qstn>
        <qstnLit>
          Did the member of the household consume mangoes during the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          12435
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          102730
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V490" name="B3_2_q8_3" files="F12" intrvl="discrete">
      <location StartPos="154" EndPos="154" width="1" RecSegNo="1"/>
      <labl>
        Do you consume - Citrus fruits?
      </labl>
      <qstn>
        <qstnLit>
          Did the member of the household consume any citrus fruit during the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          15130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          100033
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V491" name="B3_2_q8_4" files="F12" intrvl="discrete">
      <location StartPos="155" EndPos="155" width="1" RecSegNo="1"/>
      <labl>
        Do you consume - Apples?
      </labl>
      <qstn>
        <qstnLit>
          Did the member of the household consume apples during the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          21284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          93881
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V492" name="B3_2_q8_5" files="F12" intrvl="discrete">
      <location StartPos="156" EndPos="156" width="1" RecSegNo="1"/>
      <labl>
        Do you consume - Grapes?
      </labl>
      <qstn>
        <qstnLit>
          Did the member of the household consume grapes during the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          190
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          11801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          103363
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V493" name="B3_2_q8_6" files="F12" intrvl="discrete">
      <location StartPos="157" EndPos="157" width="1" RecSegNo="1"/>
      <labl>
        Do you consume - Guavas?
      </labl>
      <qstn>
        <qstnLit>
          Did the member of the household consume guavas during the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          16515
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          98644
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V494" name="B3_2_q9_1" files="F12" intrvl="discrete">
      <location StartPos="158" EndPos="158" width="1" RecSegNo="1"/>
      <labl>
        Journey By Train for Work
      </labl>
      <qstn>
        <qstnLit>
          Did any member of the household make a journey by train for work during the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          4993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          110104
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V495" name="B3_2_q9_2" files="F12" intrvl="discrete">
      <location StartPos="159" EndPos="159" width="1" RecSegNo="1"/>
      <labl>
        Journey By Train for Education
      </labl>
      <qstn>
        <qstnLit>
          Did any member of the household make a journey by train for education during the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          114638
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V496" name="B3_2_q9_3" files="F12" intrvl="discrete">
      <location StartPos="160" EndPos="160" width="1" RecSegNo="1"/>
      <labl>
        Journey By Train for other non economic activity
      </labl>
      <qstn>
        <qstnLit>
          Did any member of the household make a journey by train for any other non-economic activity during the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          1942
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          113106
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V497" name="B3_2_q9_4" files="F12" intrvl="discrete">
      <location StartPos="161" EndPos="161" width="1" RecSegNo="1"/>
      <labl>
        Journey By Bus for Work
      </labl>
      <qstn>
        <qstnLit>
          Did any member of the household make a journey by bus for work during the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          295
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          45370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          69689
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V498" name="B3_2_q9_5" files="F12" intrvl="discrete">
      <location StartPos="162" EndPos="162" width="1" RecSegNo="1"/>
      <labl>
        Journey By Bus for Education
      </labl>
      <qstn>
        <qstnLit>
          Did any member of the household make a journey by bus for education during the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          4934
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          110105
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V499" name="B3_2_q9_6" files="F12" intrvl="discrete">
      <location StartPos="163" EndPos="163" width="1" RecSegNo="1"/>
      <labl>
        Journey By Bus for other non economic activity
      </labl>
      <qstn>
        <qstnLit>
          Did any member of the household make a journey by bus for other non-economic activity during the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          22526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          92495
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V500" name="B10_q1" files="F12" intrvl="discrete">
      <location StartPos="164" EndPos="164" width="1" RecSegNo="1"/>
      <labl>
        Do all members get two square meals?
      </labl>
      <qstn>
        <qstnLit>
          Do all members usually get two square meals?
        </qstnLit>
        <ivuInstr><![CDATA[This block will be filled after completion of the enquiry on all the preceding blocks. The expression in item 1 - "getting two square meals a day" - as used in common parlance, conveys that the concerned person gets, by and large, sufficient food to eat. This question is asked in order to know the percep­tion of the household regarding sufficiency of food. While put­ting this question to the informant, it is thus presumed that the informant has a clear understanding of its meaning. There are equivalent phrases conveying the same meaning in regional lan­guages. It is, therefore, important to put the proper question in the local language and record the answer given by the informant in the appropriate code.

Care should be taken to see that the informant is not offended by this question. The question  should, in fact, not be asked to those whose reported consumption would obviously in­dicate that they get sufficient food to eat. In item 1, if the members of the household are reported as getting two square meals a day, throughout the year, the code to be entered in the box space of this block is 1. If adequate food is available in only a few months of the year code 2 will be noted. Code 3 will indicate that the household does not usually get two square meals a day for all its members. Here the reference period is last 12 calen­dar months preceding the date of enquiry.

If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have two square meals a day will be recorded in cells provided against item 2 in codes. For example, suppose all members of a sample household did not have two square meals a day in the months of January and March during the reference period. The entries to be made are 01 & 03 in first two cells out of the 12 cells provided in the block against item 2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes - through out the year
        </labl>
        <catStat type="freq">
          110987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes -some months of the year
        </labl>
        <catStat type="freq">
          3022
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          912
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V501" name="B10_q2_1" files="F12" intrvl="discrete">
      <location StartPos="165" EndPos="166" width="2" RecSegNo="1"/>
      <labl>
        Which month did the household not get enough food?
      </labl>
      <qstn>
        <qstnLit>
          Which month did the household not get enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          NA
        </labl>
        <catStat type="freq">
          113783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V502" name="B10_q2_2" files="F12" intrvl="discrete">
      <location StartPos="167" EndPos="168" width="2" RecSegNo="1"/>
      <labl>
        Which month did the household not get enough food?
      </labl>
      <qstn>
        <qstnLit>
          Which month did the household not get enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          NA
        </labl>
        <catStat type="freq">
          113891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V503" name="B10_q2_3" files="F12" intrvl="discrete">
      <location StartPos="169" EndPos="170" width="2" RecSegNo="1"/>
      <labl>
        Which month did the household not get enough food?
      </labl>
      <qstn>
        <qstnLit>
          Which month did the household not get enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          NA
        </labl>
        <catStat type="freq">
          114261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V504" name="B10_q2_4" files="F12" intrvl="discrete">
      <location StartPos="171" EndPos="172" width="2" RecSegNo="1"/>
      <labl>
        Which month did the household not get enough food?
      </labl>
      <qstn>
        <qstnLit>
          Which month did the household not get enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          NA
        </labl>
        <catStat type="freq">
          114652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V505" name="B10_q2_5" files="F12" intrvl="discrete">
      <location StartPos="173" EndPos="174" width="2" RecSegNo="1"/>
      <labl>
        Which month did the household not get enough food?
      </labl>
      <qstn>
        <qstnLit>
          Which month did the household not get enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          NA
        </labl>
        <catStat type="freq">
          114759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V506" name="B10_q2_6" files="F12" intrvl="discrete">
      <location StartPos="175" EndPos="176" width="2" RecSegNo="1"/>
      <labl>
        Which month did the household not get enough food?
      </labl>
      <qstn>
        <qstnLit>
          Which month did the household not get enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          NA
        </labl>
        <catStat type="freq">
          114781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V507" name="B10_q2_7" files="F12" intrvl="discrete">
      <location StartPos="177" EndPos="178" width="2" RecSegNo="1"/>
      <labl>
        Which month did the household not get enough food?
      </labl>
      <qstn>
        <qstnLit>
          Which month did the household not get enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          NA
        </labl>
        <catStat type="freq">
          114662
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V508" name="B10_q2_8" files="F12" intrvl="discrete">
      <location StartPos="179" EndPos="180" width="2" RecSegNo="1"/>
      <labl>
        Which month did the household not get enough food?
      </labl>
      <qstn>
        <qstnLit>
          Which month did the household not get enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          NA
        </labl>
        <catStat type="freq">
          114722
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V509" name="B10_q2_9" files="F12" intrvl="discrete">
      <location StartPos="181" EndPos="182" width="2" RecSegNo="1"/>
      <labl>
        Which month did the household not get enough food?
      </labl>
      <qstn>
        <qstnLit>
          Which month did the household not get enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          NA
        </labl>
        <catStat type="freq">
          114848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          411
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V510" name="B10_q2_10" files="F12" intrvl="discrete">
      <location StartPos="183" EndPos="184" width="2" RecSegNo="1"/>
      <labl>
        Which month did the household not get enough food?
      </labl>
      <qstn>
        <qstnLit>
          Which month did the household not get enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          NA
        </labl>
        <catStat type="freq">
          115003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V511" name="B10_q2_11" files="F12" intrvl="discrete">
      <location StartPos="185" EndPos="186" width="2" RecSegNo="1"/>
      <labl>
        Which month did the household not get enough food?
      </labl>
      <qstn>
        <qstnLit>
          Which month did the household not get enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          NA
        </labl>
        <catStat type="freq">
          115144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V512" name="B10_q2_12" files="F12" intrvl="discrete">
      <location StartPos="187" EndPos="188" width="2" RecSegNo="1"/>
      <labl>
        Which month did the household not get enough food?
      </labl>
      <qstn>
        <qstnLit>
          Which month did the household not get enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          NA
        </labl>
        <catStat type="freq">
          115134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          204
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V513" name="B10_q3" files="F12" intrvl="discrete">
      <location StartPos="189" EndPos="189" width="1" RecSegNo="1"/>
      <labl>
        Whether Item_63 (Do all members get two square meals?) actually asked from the informant
      </labl>
      <qstn>
        <qstnLit>
          Whether the question "Do all members get two square meals?" was actually asked from the informant?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          71726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          43019
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V514" name="B11_Ins_Type_1" files="F12" intrvl="discrete">
      <location StartPos="190" EndPos="191" width="2" RecSegNo="1"/>
      <labl>
        Insurance Type
      </labl>
      <qstn>
        <preQTxt>
          Are there any insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey?
        </preQTxt>
        <qstnLit>
          Which type of insurance policy has been made by the household in the last year?
        </qstnLit>
        <ivuInstr><![CDATA[In this block information will be collected on insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey. It is clarified that only schemes which are primarily meant for insurance will be covered. Hence schemes like LIP, peerless etc. which are primarily saving schemes will not be covered in this block. Again, the 'insurance cover' during jour­ney by Air or Rail provided by the Govt. in which no premium is required to be paid separately, will not be accounted for in this block.

Descrip­tions of different types of insurance and their corresponding codes are printed in columns (1) and (2) respectively. "Househol­der's comprehensive insurance scheme" covers a number of risks for which insurance policies can, alternatively, be made separately. Bearing this in mind, entries should be made against the proper "type of insurance". Thus if burglary insurance (say) is made as part of comprehensive insurance policy, no entry should be made against burglary (only) insurance.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          No insurance
        </labl>
        <catStat type="freq">
          98286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Life insurance
        </labl>
        <catStat type="freq">
          13293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Householder's comprehensive insurance
        </labl>
        <catStat type="freq">
          366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Fire &amp; allied perils insurance (only)
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Burglary (only) insurance
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Personal accident insurance (only)
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Motor vehicle insurance
        </labl>
        <catStat type="freq">
          1677
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Medical insurance
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Transit insurance
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Other (specify)
        </labl>
        <catStat type="freq">
          1494
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V515" name="B11_Yrly_Prem_1" files="F12" dcml="0" intrvl="contin">
      <location StartPos="192" EndPos="197" width="6" RecSegNo="1"/>
      <labl>
        Yearly premium
      </labl>
      <qstn>
        <qstnLit>
          How much yearly premium do you pay on account of the insurance policy?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="738000"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        738000
      </sumStat>
      <sumStat type="mean">
        528.26
      </sumStat>
      <sumStat type="stdev">
        7175.879
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V516" name="B11_Ins_Type_2" files="F12" intrvl="discrete">
      <location StartPos="198" EndPos="199" width="2" RecSegNo="1"/>
      <labl>
        Insurance Type
      </labl>
      <qstn>
        <preQTxt>
          Are there any insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey?
        </preQTxt>
        <qstnLit>
          Which type of insurance policy has been made by the household in the last year?
        </qstnLit>
        <ivuInstr><![CDATA[In this block information will be collected on insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey. It is clarified that only schemes which are primarily meant for insurance will be covered. Hence schemes like LIP, peerless etc. which are primarily saving schemes will not be covered in this block. Again, the 'insurance cover' during jour­ney by Air or Rail provided by the Govt. in which no premium is required to be paid separately, will not be accounted for in this block.

Descrip­tions of different types of insurance and their corresponding codes are printed in columns (1) and (2) respectively. "Househol­der's comprehensive insurance scheme" covers a number of risks for which insurance policies can, alternatively, be made separately. Bearing this in mind, entries should be made against the proper "type of insurance". Thus if burglary insurance (say) is made as part of comprehensive insurance policy, no entry should be made against burglary (only) insurance.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          No insurance
        </labl>
        <catStat type="freq">
          112475
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Life insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Householder's comprehensive insurance
        </labl>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Fire &amp; allied perils insurance (only)
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Burglary (only) insurance
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Personal accident insurance (only)
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Motor vehicle insurance
        </labl>
        <catStat type="freq">
          1965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Medical insurance
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Transit insurance
        </labl>
        <catStat type="freq">
          49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Other (specify)
        </labl>
        <catStat type="freq">
          567
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V517" name="B11_Yrly_Prem_2" files="F12" dcml="0" intrvl="contin">
      <location StartPos="200" EndPos="205" width="6" RecSegNo="1"/>
      <labl>
        Yearly premium
      </labl>
      <qstn>
        <qstnLit>
          How much yearly premium do you pay on account of the insurance policy?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="109560"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        109560
      </sumStat>
      <sumStat type="mean">
        24.884
      </sumStat>
      <sumStat type="stdev">
        740.318
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V518" name="B11_Ins_Type_3" files="F12" intrvl="discrete">
      <location StartPos="206" EndPos="207" width="2" RecSegNo="1"/>
      <labl>
        Insurance Type
      </labl>
      <qstn>
        <preQTxt>
          Are there any insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey?
        </preQTxt>
        <qstnLit>
          Which type of insurance policy has been made by the household in the last year?
        </qstnLit>
        <ivuInstr><![CDATA[In this block information will be collected on insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey. It is clarified that only schemes which are primarily meant for insurance will be covered. Hence schemes like LIP, peerless etc. which are primarily saving schemes will not be covered in this block. Again, the 'insurance cover' during jour­ney by Air or Rail provided by the Govt. in which no premium is required to be paid separately, will not be accounted for in this block.

Descrip­tions of different types of insurance and their corresponding codes are printed in columns (1) and (2) respectively. "Househol­der's comprehensive insurance scheme" covers a number of risks for which insurance policies can, alternatively, be made separately. Bearing this in mind, entries should be made against the proper "type of insurance". Thus if burglary insurance (say) is made as part of comprehensive insurance policy, no entry should be made against burglary (only) insurance.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          No insurance
        </labl>
        <catStat type="freq">
          115144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Life insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Householder's comprehensive insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Fire &amp; allied perils insurance (only)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Burglary (only) insurance
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Personal accident insurance (only)
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Motor vehicle insurance
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Medical insurance
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Transit insurance
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Other (specify)
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V519" name="B11_Yrly_Prem_3" files="F12" dcml="0" intrvl="contin">
      <location StartPos="208" EndPos="212" width="5" RecSegNo="1"/>
      <labl>
        Yearly premium
      </labl>
      <qstn>
        <qstnLit>
          How much yearly premium do you pay on account of the insurance policy?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="18000"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        18000
      </sumStat>
      <sumStat type="mean">
        1.909
      </sumStat>
      <sumStat type="stdev">
        87.666
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V520" name="B11_Ins_Type_4" files="F12" intrvl="discrete">
      <location StartPos="213" EndPos="214" width="2" RecSegNo="1"/>
      <labl>
        Insurance Type
      </labl>
      <qstn>
        <preQTxt>
          Are there any insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey?
        </preQTxt>
        <qstnLit>
          Which type of insurance policy has been made by the household in the last year?
        </qstnLit>
        <ivuInstr><![CDATA[In this block information will be collected on insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey. It is clarified that only schemes which are primarily meant for insurance will be covered. Hence schemes like LIP, peerless etc. which are primarily saving schemes will not be covered in this block. Again, the 'insurance cover' during jour­ney by Air or Rail provided by the Govt. in which no premium is required to be paid separately, will not be accounted for in this block.

Descrip­tions of different types of insurance and their corresponding codes are printed in columns (1) and (2) respectively. "Househol­der's comprehensive insurance scheme" covers a number of risks for which insurance policies can, alternatively, be made separately. Bearing this in mind, entries should be made against the proper "type of insurance". Thus if burglary insurance (say) is made as part of comprehensive insurance policy, no entry should be made against burglary (only) insurance.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          No insurance
        </labl>
        <catStat type="freq">
          115338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Life insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Householder's comprehensive insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Fire &amp; allied perils insurance (only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Burglary (only) insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Personal accident insurance (only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Motor vehicle insurance
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Medical insurance
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Transit insurance
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Other (specify)
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V521" name="B11_Yrly_Prem_4" files="F12" dcml="0" intrvl="contin">
      <location StartPos="215" EndPos="219" width="5" RecSegNo="1"/>
      <labl>
        Yearly premium
      </labl>
      <qstn>
        <qstnLit>
          How much yearly premium do you pay on account of the insurance policy?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="20000"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V522" name="B11_Ins_Type_5" files="F12" intrvl="discrete">
      <location StartPos="220" EndPos="221" width="2" RecSegNo="1"/>
      <labl>
        Insurance Type
      </labl>
      <qstn>
        <preQTxt>
          Are there any insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey?
        </preQTxt>
        <qstnLit>
          Which type of insurance policy has been made by the household in the last year?
        </qstnLit>
        <ivuInstr><![CDATA[In this block information will be collected on insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey. It is clarified that only schemes which are primarily meant for insurance will be covered. Hence schemes like LIP, peerless etc. which are primarily saving schemes will not be covered in this block. Again, the 'insurance cover' during jour­ney by Air or Rail provided by the Govt. in which no premium is required to be paid separately, will not be accounted for in this block.

Descrip­tions of different types of insurance and their corresponding codes are printed in columns (1) and (2) respectively. "Househol­der's comprehensive insurance scheme" covers a number of risks for which insurance policies can, alternatively, be made separately. Bearing this in mind, entries should be made against the proper "type of insurance". Thus if burglary insurance (say) is made as part of comprehensive insurance policy, no entry should be made against burglary (only) insurance.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          No insurance
        </labl>
        <catStat type="freq">
          115353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Life insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Householder's comprehensive insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Fire &amp; allied perils insurance (only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Burglary (only) insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Personal accident insurance (only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Motor vehicle insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Medical insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Transit insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Other (specify)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V523" name="B11_Yrly_Prem_5" files="F12" dcml="0" intrvl="contin">
      <location StartPos="222" EndPos="225" width="4" RecSegNo="1"/>
      <labl>
        Yearly premium
      </labl>
      <qstn>
        <qstnLit>
          How much yearly premium do you pay on account of the insurance policy?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="2844"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V524" name="B11_Ins_Type_6" files="F12" intrvl="discrete">
      <location StartPos="226" EndPos="227" width="2" RecSegNo="1"/>
      <labl>
        Insurance Type
      </labl>
      <qstn>
        <preQTxt>
          Are there any insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey?
        </preQTxt>
        <qstnLit>
          Which type of insurance policy has been made by the household in the last year?
        </qstnLit>
        <ivuInstr><![CDATA[In this block information will be collected on insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey. It is clarified that only schemes which are primarily meant for insurance will be covered. Hence schemes like LIP, peerless etc. which are primarily saving schemes will not be covered in this block. Again, the 'insurance cover' during jour­ney by Air or Rail provided by the Govt. in which no premium is required to be paid separately, will not be accounted for in this block.

Descrip­tions of different types of insurance and their corresponding codes are printed in columns (1) and (2) respectively. "Househol­der's comprehensive insurance scheme" covers a number of risks for which insurance policies can, alternatively, be made separately. Bearing this in mind, entries should be made against the proper "type of insurance". Thus if burglary insurance (say) is made as part of comprehensive insurance policy, no entry should be made against burglary (only) insurance.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          No insurance
        </labl>
        <catStat type="freq">
          115354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Life insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Householder's comprehensive insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Fire &amp; allied perils insurance (only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Burglary (only) insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Personal accident insurance (only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Motor vehicle insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Medical insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Transit insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Other (specify)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V525" name="B11_Yrly_Prem_6" files="F12" dcml="0" intrvl="contin">
      <location StartPos="228" EndPos="228" width="1" RecSegNo="1"/>
      <labl>
        Yearly premium
      </labl>
      <qstn>
        <qstnLit>
          How much yearly premium do you pay on account of the insurance policy?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="0"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V526" name="B11_Ins_Type_7" files="F12" intrvl="discrete">
      <location StartPos="229" EndPos="230" width="2" RecSegNo="1"/>
      <labl>
        Insurance Type
      </labl>
      <qstn>
        <preQTxt>
          Are there any insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey?
        </preQTxt>
        <qstnLit>
          Which type of insurance policy has been made by the household in the last year?
        </qstnLit>
        <ivuInstr><![CDATA[In this block information will be collected on insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey. It is clarified that only schemes which are primarily meant for insurance will be covered. Hence schemes like LIP, peerless etc. which are primarily saving schemes will not be covered in this block. Again, the 'insurance cover' during jour­ney by Air or Rail provided by the Govt. in which no premium is required to be paid separately, will not be accounted for in this block.

Descrip­tions of different types of insurance and their corresponding codes are printed in columns (1) and (2) respectively. "Househol­der's comprehensive insurance scheme" covers a number of risks for which insurance policies can, alternatively, be made separately. Bearing this in mind, entries should be made against the proper "type of insurance". Thus if burglary insurance (say) is made as part of comprehensive insurance policy, no entry should be made against burglary (only) insurance.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          No insurance
        </labl>
        <catStat type="freq">
          115354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Life insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Householder's comprehensive insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Fire &amp; allied perils insurance (only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Burglary (only) insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Personal accident insurance (only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Motor vehicle insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Medical insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Transit insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Other (specify)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V527" name="B11_Yrly_Prem_7" files="F12" dcml="0" intrvl="contin">
      <location StartPos="231" EndPos="231" width="1" RecSegNo="1"/>
      <labl>
        Yearly premium
      </labl>
      <qstn>
        <qstnLit>
          How much yearly premium do you pay on account of the insurance policy?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="0"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V528" name="B11_Ins_Type_8" files="F12" intrvl="discrete">
      <location StartPos="232" EndPos="233" width="2" RecSegNo="1"/>
      <labl>
        Insurance Type
      </labl>
      <qstn>
        <preQTxt>
          Are there any insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey?
        </preQTxt>
        <qstnLit>
          Which type of insurance policy has been made by the household in the last year?
        </qstnLit>
        <ivuInstr><![CDATA[In this block information will be collected on insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey. It is clarified that only schemes which are primarily meant for insurance will be covered. Hence schemes like LIP, peerless etc. which are primarily saving schemes will not be covered in this block. Again, the 'insurance cover' during jour­ney by Air or Rail provided by the Govt. in which no premium is required to be paid separately, will not be accounted for in this block.

Descrip­tions of different types of insurance and their corresponding codes are printed in columns (1) and (2) respectively. "Househol­der's comprehensive insurance scheme" covers a number of risks for which insurance policies can, alternatively, be made separately. Bearing this in mind, entries should be made against the proper "type of insurance". Thus if burglary insurance (say) is made as part of comprehensive insurance policy, no entry should be made against burglary (only) insurance.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          No insurance
        </labl>
        <catStat type="freq">
          115354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Life insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Householder's comprehensive insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Fire &amp; allied perils insurance (only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Burglary (only) insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Personal accident insurance (only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Motor vehicle insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Medical insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Transit insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Other (specify)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V529" name="B11_Yrly_Prem_8" files="F12" dcml="0" intrvl="contin">
      <location StartPos="234" EndPos="234" width="1" RecSegNo="1"/>
      <labl>
        Yearly premium
      </labl>
      <qstn>
        <qstnLit>
          How much yearly premium do you pay on account of the insurance policy?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="0"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V530" name="B11_Ins_Type_9" files="F12" intrvl="discrete">
      <location StartPos="235" EndPos="236" width="2" RecSegNo="1"/>
      <labl>
        Insurance Type
      </labl>
      <qstn>
        <preQTxt>
          Are there any insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey?
        </preQTxt>
        <qstnLit>
          Which type of insurance policy has been made by the household in the last year?
        </qstnLit>
        <ivuInstr><![CDATA[In this block information will be collected on insurance policies made by the household at any time in the past and premium paid on their account during the last 365 days preceding the date of survey. It is clarified that only schemes which are primarily meant for insurance will be covered. Hence schemes like LIP, peerless etc. which are primarily saving schemes will not be covered in this block. Again, the 'insurance cover' during jour­ney by Air or Rail provided by the Govt. in which no premium is required to be paid separately, will not be accounted for in this block.

Descrip­tions of different types of insurance and their corresponding codes are printed in columns (1) and (2) respectively. "Househol­der's comprehensive insurance scheme" covers a number of risks for which insurance policies can, alternatively, be made separately. Bearing this in mind, entries should be made against the proper "type of insurance". Thus if burglary insurance (say) is made as part of comprehensive insurance policy, no entry should be made against burglary (only) insurance.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          No insurance
        </labl>
        <catStat type="freq">
          115354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Life insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Householder's comprehensive insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Fire &amp; allied perils insurance (only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Burglary (only) insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Personal accident insurance (only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Motor vehicle insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Medical insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Transit insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Other (specify)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V531" name="B11_Yrly_Prem_9" files="F12" dcml="0" intrvl="contin">
      <location StartPos="237" EndPos="237" width="1" RecSegNo="1"/>
      <labl>
        Yearly premium
      </labl>
      <qstn>
        <qstnLit>
          How much yearly premium do you pay on account of the insurance policy?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="0"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V532" name="B13_Cerm_Code_1" files="F12" intrvl="discrete">
      <location StartPos="238" EndPos="239" width="2" RecSegNo="1"/>
      <labl>
        Ceremony Code
      </labl>
      <qstn>
        <preQTxt>
          Did the household perform any ceremony?
        </preQTxt>
        <qstnLit>
          Which ceremony did the household perform?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          No ceremony
        </labl>
        <catStat type="freq">
          114361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Birth
        </labl>
        <catStat type="freq">
          957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Birthday
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Head Shaving / Mundan
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Annaprasan / First rice taking
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Thread ceremony
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Marriage
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Marriage anniversary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Death
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Other (Specify)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V533" name="B13_No_Meals_srvd_1" files="F12" dcml="0" intrvl="contin">
      <location StartPos="240" EndPos="243" width="4" RecSegNo="1"/>
      <labl>
        No. of meals served to guests in ceremony
      </labl>
      <qstn>
        <qstnLit>
          How many meals were served by the household during the ceremony?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="8000"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8000
      </sumStat>
      <sumStat type="mean">
        1.081
      </sumStat>
      <sumStat type="stdev">
        38.103
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V534" name="B13_Cerm_Code_2" files="F12" intrvl="discrete">
      <location StartPos="244" EndPos="245" width="2" RecSegNo="1"/>
      <labl>
        Ceremony Code
      </labl>
      <qstn>
        <preQTxt>
          Did the household perform any ceremony?
        </preQTxt>
        <qstnLit>
          Which ceremony did the household perform?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          No ceremony
        </labl>
        <catStat type="freq">
          109913
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Birth
        </labl>
        <catStat type="freq">
          4939
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Birthday
        </labl>
        <catStat type="freq">
          416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Head Shaving / Mundan
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Annaprasan / First rice taking
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Thread ceremony
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Marriage
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Marriage anniversary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Death
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Other (Specify)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V535" name="B13_No_Meals_srvd_2" files="F12" dcml="0" intrvl="contin">
      <location StartPos="246" EndPos="249" width="4" RecSegNo="1"/>
      <labl>
        No. of meals served to guests in ceremony
      </labl>
      <qstn>
        <qstnLit>
          How many meals were served by the household during the ceremony?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9999
      </sumStat>
      <sumStat type="mean">
        7.438
      </sumStat>
      <sumStat type="stdev">
        87.428
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V536" name="B12_q1" files="F12" intrvl="discrete">
      <location StartPos="250" EndPos="250" width="1" RecSegNo="1"/>
      <labl>
        Ownership of dwelling
      </labl>
      <qstn>
        <qstnLit>
          Does the household own any dwelling?
        </qstnLit>
        <ivuInstr><![CDATA[In this block information will be collected on living accommodation, such as ownership, area covered, rent etc., and also on housing amenities such as drinking water, sanitation, etc. The dwelling house (unit) has been defined as the accommodation availed of by a household for its residential purpose. It may be an entire struc­ture or a part there of or may consist of more than one struc­ture. There may be cases of more than one household occupying a single structure such as those living in independent flats or sharing a single housing unit, in which case there will be as many dwelling units as the numbered of households sharing the structure. 

There may also be cases of one household occupying more than one structures (e.g. detached structure for sitting sleeping, cook­ing, bathing etc.) for its housing accommodation.  In such cases, all the structure together constitute a single dwelling unit.  In general, accommodation availed of for residential purpose will cover living room, kitchen, store, bath, latrine, garage, open and closed verandah etc.  A structure or a portion  thereof used exclusively for other than residential purposes or let out to other households does not form part of the dwelling unit of the household under consideration.  However, a portion of a structure used for both residential and non-residential purposes is treated as part of the dwelling unit except when the residen­tial purpose use of this portion is very nominal.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No dwelling
        </labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          91982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Quarter
        </labl>
        <catStat type="freq">
          4051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other hired accomodation
        </labl>
        <catStat type="freq">
          14620
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          4464
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V537" name="B12_q2" files="F12" dcml="0" intrvl="contin">
      <location StartPos="251" EndPos="255" width="5" RecSegNo="1"/>
      <labl>
        Covered Area (Whole number)
      </labl>
      <qstn>
        <qstnLit>
          How much is the covered area of the dwelling?
        </qstnLit>
        <ivuInstr><![CDATA[This is the sum of the floor areas of all rooms, kitchen etc. and covered and/or uncovered verandah of the building.  The area will be recorded in whole number of square feet.  A verandah means a roofed space often without a door adjacent to a living room or other room.  The term "verandah" will not, however, cover la passage or a corridor used mainly as an access to the dwelling unit itself.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="84212"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        84212
      </sumStat>
      <sumStat type="mean">
        491.863
      </sumStat>
      <sumStat type="stdev">
        832.721
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V538" name="B12_q3" files="F12" intrvl="discrete">
      <location StartPos="256" EndPos="256" width="1" RecSegNo="1"/>
      <labl>
        Land Possession Code
      </labl>
      <qstn>
        <qstnLit>
          Does the household possess any land?
        </qstnLit>
        <ivuInstr><![CDATA[The land on which the dwelling unit is constructed may be either owned, or rented, or leased in by the household or otherwises occupied.  The codes to be recorded against this item are :
                     no land  .................  1
                     owned ...................  2
                     rented ....................  3 
                     leased...................... 4    
                      others .................... 9

   In case of a multistoreyed building, land possession code of its apartments will be 2 or 3 or 4 or 9 as the case may be.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No land
        </labl>
        <catStat type="freq">
          2615
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          88980
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Rented
        </labl>
        <catStat type="freq">
          13612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Leased in
        </labl>
        <catStat type="freq">
          3495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          6652
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V539" name="B12_q4" files="F12" intrvl="discrete">
      <location StartPos="257" EndPos="257" width="1" RecSegNo="1"/>
      <labl>
        Type of Dwelling
      </labl>
      <qstn>
        <qstnLit>
          What is the type of dwelling of the household? Is it an independent house or a flat or a chawl or bustee or any other type of dwelling?
        </qstnLit>
        <ivuInstr><![CDATA[Information  on the type of dwelling unit will be entered against this item in codes.  The codes are :
independent house - 1, flat - 2, chawl - 3, others - 9.  

An independent house is one which has a separate struc­ture and entrance with  self-contained arrangements.  In other words, if the dwelling unit land the entire structure of the house are physically the ;same it should be considered an inde­pendent house.  In some parts especially in rural areas, two or more structures together may constitute a single housing unit.
such as housing will also be treated as an independent house.  

A flat is a self-contained housing arrangement occupying a portion of a building.  It consists of one or more rooms with normal housing facilities like water supply, bath and toilet for exclusive use of a single household.  If a household occupy­ing a portion of a building has some housing facilities like water supply, bath and/or toilet for its exclusive use in a detached structure(s), it is also regarded as occupying a flat. 

A chawl may  be described as a building with  a numbers of generally single-roomed having common corridor and bathing and toilet facilities.  In case of three/four storeyed chawl the common facilities of a bath land toilet may be ;available in each floor for the tenements of that floor.

Others :  covers all other types of housing arrangements.  This will include flat-like dwellings which are not self-contained in respect of water, bath and toilets facilities, hostel accommodation etc.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Independent house
        </labl>
        <catStat type="freq">
          89930
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Flat
        </labl>
        <catStat type="freq">
          8206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Chawl / Bustee
        </labl>
        <catStat type="freq">
          8740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          8478
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V540" name="B12_q5" files="F12" intrvl="discrete">
      <location StartPos="258" EndPos="258" width="1" RecSegNo="1"/>
      <labl>
        Type of Structure
      </labl>
      <qstn>
        <qstnLit>
          What is the type of structure of the dwelling? Is it pucca, semi pucca or katchcha?
        </qstnLit>
        <ivuInstr><![CDATA[The structures have    been classified   into ;three categories, viz. pucca, semi-pucca and katcha on the basis of the materials used for construction.  Entry against this item is to made in codes.  the codes are : pucca - 1, semi-pucca - 2, katcha - 3.

A katcha structure is one whose walls and roofs are made of mud, bamboo, grass, leaves, reeds, thatch or unbrunt bricks.  a pucca  structure  is one whose walls and roof are made of burnt bricks, stone, cement concreat, jack board (cement - plastered reeds), mosaic, tiles or timber.  Tiles galvanized as tin or asbestos cement sheets used in construction of roofs will be regarded as pucca material.  A semi-pucca structure is one of which either the of or the walls, but not both, is made exclu­sively of pucca materials like burnt  bricks, stones, cement, concrete or timber.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Pucca
        </labl>
        <catStat type="freq">
          55508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Semi pucca
        </labl>
        <catStat type="freq">
          33795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Katchcha
        </labl>
        <catStat type="freq">
          25772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          279
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V541" name="B12_q6" files="F12" intrvl="discrete">
      <location StartPos="259" EndPos="259" width="1" RecSegNo="1"/>
      <labl>
        Floor Type
      </labl>
      <qstn>
        <qstnLit>
          What is the floor type of dwelling?
        </qstnLit>
        <ivuInstr><![CDATA[Information on the basis materi­als of which the floor of the dwelling unit is constructed will be collected and recorded in code against this item.  The codes are :
            mud ..............................  1
            bamboo, log ..................  2
            wood, plank ................... 3
            brick, limestone, stone .... 4
            cement ............................ 5
            mosaic, tiles .....................6
            others .............................. 9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Mud
        </labl>
        <catStat type="freq">
          58082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Bamboo, log
        </labl>
        <catStat type="freq">
          1601
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Wood, plank
        </labl>
        <catStat type="freq">
          3234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Brick
        </labl>
        <catStat type="freq">
          10469
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Cement
        </labl>
        <catStat type="freq">
          34486
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Mosaic, tiles
        </labl>
        <catStat type="freq">
          6652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          830
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V542" name="B12_q7" files="F12" intrvl="discrete">
      <location StartPos="260" EndPos="260" width="1" RecSegNo="1"/>
      <labl>
        Type of Latrine
      </labl>
      <qstn>
        <qstnLit>
          What type of latrine is being used by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The information about the types of latrine used by the household will be collected and recorded in code. 

The codes are :        
                   no latrine .....................  1
                   service latrine ............... 2
                   septic tank  ................... 3
                   flush system................... 4
                   others ............................9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No latrine
        </labl>
        <catStat type="freq">
          63193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Service latrine
        </labl>
        <catStat type="freq">
          5858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Septic tank
        </labl>
        <catStat type="freq">
          20479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Flush system
        </labl>
        <catStat type="freq">
          13614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          11889
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V543" name="B12_q8" files="F12" intrvl="discrete">
      <location StartPos="261" EndPos="261" width="1" RecSegNo="1"/>
      <labl>
        Primary Source of Water
      </labl>
      <qstn>
        <qstnLit>
          What is the primary source of water for the household?
        </qstnLit>
        <ivuInstr><![CDATA[The infor­mation in respect of the households primary source of drinking water will be collected and recorded in codes against this item.  The codes are :
            tap ..................................  1
            tube well, hand pump  ...... 2
            well ...................................3
            tank, pond reserved 
            for drinking ...................... 4
            other tank .........................5
            river,  canel, lake .............. 6
            spring ............................... 7
            others ............................... 9
  If an arrangement is made by corporation, municipality, panchayat or other local authorities or any private or public housing estate or agency to ;supply water through pipe and if the sample household is availing itself of such facility, then the appropriate code will be 1.  drinking water carried through pipe from sources like well, tank river etc. for the convenience of only one or a group of households,  however, will not be treated as tap water.  Instead, such a source will get the code appropriate to the actual source from which water is carried through pipe.  The other codes are self-explanatory.  If a house­hold gets drinking water from more than one source, the source which is in major use will be considered.  If the sources of drinking water of a household is different in different seasons, the major source of drinking water is to be ascertained and the corresponding code has to be noted against this item.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          369
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tap
        </labl>
        <catStat type="freq">
          48134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Tubewell, handpump
        </labl>
        <catStat type="freq">
          38113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Well
        </labl>
        <catStat type="freq">
          21885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Tank, pond reserved for drinking
        </labl>
        <catStat type="freq">
          1628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other tank
        </labl>
        <catStat type="freq">
          464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          River, canal, lake
        </labl>
        <catStat type="freq">
          1417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Spring
        </labl>
        <catStat type="freq">
          2261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1083
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V544" name="B12_q9" files="F12" dcml="0" intrvl="contin">
      <location StartPos="262" EndPos="267" width="6" RecSegNo="1"/>
      <labl>
        Monthly Rent (Actual) (in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much monthly rent is being paid by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Item 9 will be filled in for households of both rural and urban areas whereas item 10 will be filled in for the households of urban areas only.  Actual monthly rent of the dwelling unit will be noted if it is taken on rent.  But if a household in urban areas is not resid­ing in a rented house, that is, is residing in a house which it either owns or otherwise occupied without paying any rent, then an imputed rent will be recorded.  Imputation will be  done on the basis of prevailing  rate of rent for similar houses in the locality or surrounding areas.  Rent does not include any salami/Pugree or any kind of cuss payable to local bodies or Government or monthly maintenance charges payable to co-operative socie­ty etc.  It is merely an amount payable to the owner or some other partly as per contract between the occupier and the person who lets it out.  A household may occupy a dwelling unit which is neither owned, nor hired in.  In such cases also the imputed rent will be recorded.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="112000"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        112000
      </sumStat>
      <sumStat type="mean">
        43.646
      </sumStat>
      <sumStat type="stdev">
        502.943
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V567" name="B12_q10" files="F12" dcml="0" intrvl="contin">
      <location StartPos="268" EndPos="272" width="5" RecSegNo="1"/>
      <labl>
        Imputed Value (in Rs.)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[This item will be filled in for the households of urban areas only. But if a household in urban areas is not resid­ing in a rented house, that is, is residing in a house which it either owns or otherwise occupied without paying any rent, then an imputed rent will be recorded.  Imputation will be  done on the basis of prevailing  rate of rent for similar houses in the locality or surrounding areas.  Rent does not include any salami/Pugree or any kind of cuss payable to local bodies or Government or monthly maintenance charges payable to co-operative socie­ty etc.  It is merely an amount payable to the owner or some other partly as per contract between the occupier and the person who lets it out.  A household may occupy a dwelling unit which is neither owned, nor hired in.  In such cases also the imputed rent will be recorded.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V546" name="B12_q11" files="F12" intrvl="discrete">
      <location StartPos="273" EndPos="273" width="1" RecSegNo="1"/>
      <labl>
        Condition of the house
      </labl>
      <qstn>
        <qstnLit>
          What is the condition of the house?
        </qstnLit>
        <ivuInstr><![CDATA["Condition" refers to the physical condition of the house.  This will have to be as­sessed at the time of investigation.  Entry against this item is to be recorded in the code.  If the house is excellent for habita­tion and seems to need no major repairs then code 1 is to be entered.  In case the house is fairly good and needs no major repairs code 2 is to be recorded.  If the condition is bad, dilapidated and impoverished (either needs immediate repairs/structural changes or is not suitable for permanent habitation at all) code 3 is to be noted.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Good
        </labl>
        <catStat type="freq">
          42355
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Satisfactory
        </labl>
        <catStat type="freq">
          55558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Bad
        </labl>
        <catStat type="freq">
          16894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          547
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V547" name="B13_2_q1" files="F12" dcml="0" intrvl="contin">
      <location StartPos="274" EndPos="277" width="4" RecSegNo="1"/>
      <labl>
        No. of meals served to guests (other than those served during ceremony)
      </labl>
      <qstn>
        <qstnLit>
          Did you serve food to the guests (other than those served during ceremony) in the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Only the meals served on non-ceremonial occasions during the reference period of 30 days proceeding the date of enquiry were to be recorded.

In this item the number of meals served by the household to its guests and to its employees, during the reference period of 30 days proceeding the date of enquiry on non-ceremonial occasions will be recorded in the box spaces provided against lines 1 and 2 respectively.  While reckoning the number of meals served to guests, those meals which have already been accounted for in item 2 that is, 'meals served to guests during ceremonies 'should' not be counted in making entries in this item.
   
An employee of the household who lives under the same roof and takes food from the same household kitchen as the other members of the household do, should by NSS convention, be treated as a normal member of the household.  Hence meals served to employee members should not be counted for making entry against line 2 of this item.  The number of meals served to guests as well as employees will be totaled & recorded in the box space provided against line 3, i.e., total.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1130"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1130
      </sumStat>
      <sumStat type="mean">
        1.639
      </sumStat>
      <sumStat type="stdev">
        14.86
      </sumStat>
      <txt><![CDATA[In this item the number of meals served by the household to its guests  during the reference period of 30 days proceeding the date of enquiry on non-ceremonial occasions were recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V548" name="B13_2_q2" files="F12" dcml="0" intrvl="contin">
      <location StartPos="278" EndPos="281" width="4" RecSegNo="1"/>
      <labl>
        No. of meals served to employees (other than those served during ceremony)
      </labl>
      <qstn>
        <qstnLit>
          Did you serve food to the employees (other than those served during ceremony) in the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Only the meals served on non-ceremonial occasions during the reference period of 30 days proceeding the date of enquiry were to be recorded.

In this item the number of meals served by the household to its guests and to its employees, during the reference period of 30 days proceeding the date of enquiry on non-ceremonial occasions will be recorded in the box spaces provided against lines 1 and 2 respectively.  While reckoning the number of meals served to guests, those meals which have already been accounted for in item 2 that is, 'meals served to guests during ceremonies 'should' not be counted in making entries in this item.
    An employee of the household who lives under the same roof and takes food from the same household kitchen as the other members of the household do, should by NSS convention, be treated as a normal member of the household.  Hence meals served to employee members should not be counted for making entry against line 2 of this item.  The number of meals served to guests as well as employees will be totaled & recorded in the box space provided against line 3, i.e., total.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1302"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1302
      </sumStat>
      <sumStat type="mean">
        0.247
      </sumStat>
      <sumStat type="stdev">
        7.222
      </sumStat>
      <txt><![CDATA[In this item the number of meals served by the household to its  employees, during the reference period of 30 days proceeding the date of enquiry on non-ceremonial occasions were recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V549" name="B13_2_q3" files="F12" dcml="0" intrvl="contin">
      <location StartPos="282" EndPos="285" width="4" RecSegNo="1"/>
      <labl>
        Total meals (other than those served during ceremony)
      </labl>
      <valrng>
        <range min="0" max="2414"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2414
      </sumStat>
      <sumStat type="mean">
        1.886
      </sumStat>
      <sumStat type="stdev">
        17.678
      </sumStat>
      <txt>
        Generated total of the last 2 entries.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V550" name="B4_Adult_Males" files="F12" dcml="0" intrvl="contin">
      <location StartPos="286" EndPos="287" width="2" RecSegNo="1"/>
      <labl>
        No. of Adult Males in the Household
      </labl>
      <valrng>
        <range min="0" max="25"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable has been generated for specific tabulation by NSSO. It is not in accordance with the questionnaire. Therefore, the users may ignore this.
      </txt>
      <codInstr>
        Data layout is not in accordance with the questionnaire. Some additional variables have been generated for specific tabulation by the NSSO. The data users can ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V551" name="B4_Adult_Females" files="F12" dcml="0" intrvl="contin">
      <location StartPos="288" EndPos="289" width="2" RecSegNo="1"/>
      <labl>
        No. of Adult Females in the Household
      </labl>
      <valrng>
        <range min="0" max="20"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable has been generated for specific tabulation by NSSO. It is not in accordance with the questionnaire. Therefore, the users may ignore this.
      </txt>
      <codInstr>
        Data layout is not in accordance with the questionnaire. Some additional variables have been generated for specific tabulation by the NSSO. The data users can ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V552" name="B4_Child_Males" files="F12" dcml="0" intrvl="contin">
      <location StartPos="290" EndPos="291" width="2" RecSegNo="1"/>
      <labl>
        No. of Child Males in the Household
      </labl>
      <valrng>
        <range min="0" max="11"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable has been generated for specific tabulation by NSSO. It is not in accordance with the questionnaire. Therefore, the users may ignore this.
      </txt>
      <codInstr>
        Data layout is not in accordance with the questionnaire. Some additional variables have been generated for specific tabulation by the NSSO. The data users can ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V553" name="B4_Child_Females" files="F12" dcml="0" intrvl="contin">
      <location StartPos="292" EndPos="293" width="2" RecSegNo="1"/>
      <labl>
        No. of Child Females in the Household
      </labl>
      <valrng>
        <range min="0" max="12"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable has been generated for specific tabulation by NSSO. It is not in accordance with the questionnaire. Therefore, the users may ignore this.
      </txt>
      <codInstr>
        Data layout is not in accordance with the questionnaire. Some additional variables have been generated for specific tabulation by the NSSO. The data users can ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V554" name="MPCE_Code" files="F12" intrvl="discrete">
      <location StartPos="294" EndPos="295" width="2" RecSegNo="1"/>
      <labl>
        Monthly Per Capita Expenditure Code
      </labl>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

It is the usual practice, in NSS consumer expenditure reports, to present various estimates, including state and all-India level values of different socio-economic indicators, and distributions of households and all-India level values of different socio-economic indicators, and distributions of households and persons over different socio-economic categories or statuses, separately for a number of classes of the population formed on the basis of MPCE. For the 50th round, 12 MPCE classes were drawn up for each sector - rural and urban - as follows. For the rural (urban) sector, the class limits were so chosen that each class, excepting the top two classes and the bottom two, approximately contained an estimated 10% of the rural (urban) population, while the remaining four classes each contained an estimated 5% of the population. Some adjustments were, however, made to keep some common class limits for the rural and urban sectors. Tabulation of results by MPCE class from the 43rd to the 49th round of NSS, incidentally, was done using MPCE classes derived in a similar way, using 43rd round MPCE data. In other words, the MPCE classification is being updated for the first time since the 43rd round. The classification used here is :

RURAL 			URBAN
(Rs.) 			(Rs.)
1. below 120 		below 160
2. 120 - 140 		160 - 190
3. 140 - 165		 190 - 230
4. 165 - 190		 230 - 265
5. 190 - 210 		265 - 310
6. 210 - 235 		310 - 355
7. 235 - 265 		355 - 410
8. 265 - 300 		410 - 490
9. 300 - 355 		490 - 605
10. 355 - 455 		605 - 825
11. 455 - 560 		825 -1055
12. 560 & above 	               1055 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V555" name="Size_Class_of_Town" files="F12" intrvl="discrete">
      <location StartPos="296" EndPos="296" width="1" RecSegNo="1"/>
      <labl>
        Size Class of Town Code
      </labl>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        Data layout is not in accordance with the questionnaire. Some additional variables have been generated for specific tabulation by the NSSO. The data users can ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V556" name="Consumer_Unit" files="F12" dcml="2" intrvl="contin">
      <location StartPos="297" EndPos="301" width="5" RecSegNo="1"/>
      <labl>
        Consumer Unit (0.00)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.43" max="52.68"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.43
      </sumStat>
      <sumStat type="max">
        52.68
      </sumStat>
      <sumStat type="mean">
        3.955
      </sumStat>
      <sumStat type="stdev">
        2.069
      </sumStat>
      <txt>
        This variable has been generated for specific tabulation by NSSO. It is not in accordance with the questionnaire. Therefore, the users may ignore this.
      </txt>
      <codInstr><![CDATA[Consumer unit: 

A person's calorie requirement varies with age and sex. Therefore the total calorie requirement of a group of persons depends not just on the number of persons in the group but also on their age and sex. To facilitate comparisons between calorie requirements of persons of different ages and sexes, a conversion table is used. The table assigns a number of consumer units (usually less than 1) to a person depending on age and sex. (Implicitly, there is a "reference man" corresponding to exactly 1 consumer unit.) 

For details see Report No. 402, para 3.9, attached in external resources.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V557" name="B4_Age_of_Head" files="F12" dcml="0" intrvl="contin">
      <location StartPos="302" EndPos="303" width="2" RecSegNo="1"/>
      <labl>
        Age of Head Code
      </labl>
      <qstn>
        <qstnLit>
          What is the age of the head of the household?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        43.87
      </sumStat>
      <sumStat type="stdev">
        13.794
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V558" name="B4_Sex_of_Head" files="F12" intrvl="discrete">
      <location StartPos="304" EndPos="304" width="1" RecSegNo="1"/>
      <labl>
        Sex of Head Code
      </labl>
      <qstn>
        <qstnLit>
          What is the gender of the head of the household?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          103852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          11342
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V559" name="Rent_Code" files="F12" intrvl="discrete">
      <location StartPos="305" EndPos="306" width="2" RecSegNo="1"/>
      <labl>
        Rent Code
      </labl>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable has been generated for specific tabulation by NSSO. It is not in accordance with the questionnaire. Therefore, the users may ignore this.
      </txt>
      <codInstr>
        Data layout is not in accordance with the questionnaire. Some additional variables have been generated for specific tabulation by the NSSO. The data users can ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V560" name="WGT_SS" wgt="wgt" files="F12" dcml="2" intrvl="contin">
      <location StartPos="307" EndPos="314" width="8" RecSegNo="1"/>
      <labl>
        Sub - sample Multiplier (0.00)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="53557.09"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        53557.09
      </sumStat>
      <sumStat type="mean">
        2777.478
      </sumStat>
      <sumStat type="stdev">
        2276.326
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V561" name="WGT_SS_Combined" wgt="wgt" files="F12" dcml="2" intrvl="contin">
      <location StartPos="315" EndPos="322" width="8" RecSegNo="1"/>
      <labl>
        Combined multiplier (0.00)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="26778.55"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        26778.55
      </sumStat>
      <sumStat type="mean">
        1410.677
      </sumStat>
      <sumStat type="stdev">
        1161.622
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V562" name="Old_PC" files="F12" intrvl="discrete">
      <location StartPos="323" EndPos="330" width="8" RecSegNo="1"/>
      <labl>
        Old P C
      </labl>
      <sumStat type="vald">
        115353
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable has been generated by NSSO. It is not in accordance with the questionnaire. Therefore, the users may ignore this.
      </txt>
      <codInstr>
        Data layout is not in accordance with the questionnaire. Some additional variables have been generated for specific tabulation by the NSSO. The data users can ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V336" name="HHID" files="F9" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V313" name="Rd_Sch" files="F9" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Indicates the NSS  round number and schedule number of this survey.]]></txt>
      <catgry>
        <catValu>
          501
        </catValu>
        <catStat type="freq">
          78078
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V314" name="St_Region" files="F9" intrvl="discrete">
      <location StartPos="12" EndPos="14" width="3" RecSegNo="1"/>
      <labl>
        State - Region
      </labl>
      <qstn>
        <qstnLit>
          State - Region
        </qstnLit>
        <ivuInstr>
          State and NSS region to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V337" name="State" files="F9" intrvl="discrete">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
        <ivuInstr>
          State to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal.
      </txt>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh             ]]></labl>
        <catStat type="freq">
          5306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh        ]]></labl>
        <catStat type="freq">
          676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          4408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Bihar    ]]></labl>
        <catStat type="freq">
          6116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Goa                      ]]></labl>
        <catStat type="freq">
          193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                          ]]></labl>
        <catStat type="freq">
          3082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          1364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh        ]]></labl>
        <catStat type="freq">
          1904
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir      ]]></labl>
        <catStat type="freq">
          965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          3232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          3334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh          ]]></labl>
        <catStat type="freq">
          5062
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          6331
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          2761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          2631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          2746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          5413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          1157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          8414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          7224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          1105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli    ]]></labl>
        <catStat type="freq">
          192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Daman & Diu               ]]></labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State - Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V315" name="S_Sample" files="F9" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/block is central sample or state sample
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State
        </labl>
        <catStat type="freq">
          78078
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V316" name="Sample" files="F9" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V317" name="Sector" files="F9" intrvl="discrete">
      <location StartPos="19" EndPos="19" width="1" RecSegNo="1"/>
      <labl>
        Sector "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sector "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/ block is classified as Rural or Urban.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          48594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          29484
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V318" name="Stratum" files="F9" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each state two basic strata will be formed: (i) rural stratum comprising of all rural areas of the state and (ii) urban stratum comprising of all the urban areas of the state.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V319" name="S_Round" files="F9" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Sub - round
      </labl>
      <qstn>
        <qstnLit>
          Sub - round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub Round 1
        </labl>
        <catStat type="freq">
          19594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub Round 2
        </labl>
        <catStat type="freq">
          19432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub Round 3
        </labl>
        <catStat type="freq">
          19101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub Round 4
        </labl>
        <catStat type="freq">
          19951
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V320" name="FSU_Srl_No" files="F9" intrvl="discrete">
      <location StartPos="23" EndPos="27" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector.  However, for some of the newly declared towns  of 1991 census for which UFS frame  has not been received, the  1991 census enumeration blocks are the first-stage units.This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V321" name="Second_Stratum" files="F9" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum "1''or "2"
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V322" name="HH_No" files="F9" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V323" name="Level" files="F9" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          51335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          26743
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V324" name="Month_Yr_Code" files="F9" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Month / Year Code
      </labl>
      <qstn>
        <qstnLit>
          Month / Year Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V325" name="B3_3_q1" files="F9" intrvl="discrete">
      <location StartPos="34" EndPos="36" width="3" RecSegNo="1"/>
      <labl>
        Gift Item Code
      </labl>
      <qstn>
        <qstnLit>
          Gift Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[A three-digit code system for identification of each item of consumer expenditure has been used. The digit in the hundreds place  indicates broad division of items; the  hundred and tens places together specify groups of items and all the three digits together indicate a particular item.  Item code ending with '8' represents 'others', that is, any item belonging to the particular group but not listed sepa­rately.  Similarly, a code with '9' in the unit place is a sub-total item.]]></txt>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          51335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          paddy
        </labl>
        <catStat type="freq">
          276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          rice—P.D.S.
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          rice—other sources
        </labl>
        <catStat type="freq">
          579
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          chira
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          khoi, lawa
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          muri
        </labl>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          other rice products
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          wheat—P.D.S.
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          wheat—other sources
        </labl>
        <catStat type="freq">
          230
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          atta—P.D.S.
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          atta—other sources
        </labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          maida
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          suji, rawa
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          sewai, noodles
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          bread (bakery)
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          other wheat products
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          jowar—P.D.S.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          jowar—other sources
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          jowar products
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          bajra--P.D.S.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          bajra—other sources
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          bajra products
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          maize—P.D.S.
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          maize—other sources
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          maize products
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          barley
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          barley products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          small millets
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          small millets products
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          ragi
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          ragi products
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          gram (whole grain)
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          gram products
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          tapioca/sago
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          tapioca (green)
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          mahua
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Jackfruit seed
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          other cereal substitutes
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          arhar(tur)—P.D.S.
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          arhar—other sources
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          gram (split)—P.D.S.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          gram (split)—other sources
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          moong—P.D.S.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          moong—other sources
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          masur—P.D.S.
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          masur—other sources
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          urd—P.D.S.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          urd—other sources
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          khesari—P.D.S.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          khesari—other sources
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          peas
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          soyabean
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          other pulses
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          besan
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          other pulse products
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          milk : liquid (litre)
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          baby food '
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          milk : cond./powder
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          curd
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          ghee
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          butter
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          rice-cream(no.)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          other milk products
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          vanaspati-P.D.S.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          vanaspati-other sources
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          margarine
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          mustard oil—P.D.S.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          mustard oil—other sources
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          groundnut oil—P.D.S.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          ground nut oil—other sources
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          coconut oil—P.D.S.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          coconut oil—other sources
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          gingelly (til)oil—P.D.S.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          gingelly (til)—other sources
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          linseed oil—P.D.S.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          linseed oil—other sources
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          refined oil—P.D.S.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          refined oil—other sources
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          palm oil—P.D.S.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          palm oil—other sources
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          rapeseed oil—P.D.S.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          rapeseed oil—other sources
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          oil seeds
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          edible oil (others)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          edible oil s.t. (240-268)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          goat meat
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          mutton
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          beef
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          pork
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          buffalo meat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          other meat
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          chicken
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          otherbirds(no.)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          eggs(no.)
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          egg products
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          fish (fresh)
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          fish (dry)
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          fish (canned)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          others (specify)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          potato
        </labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          onion
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          radish
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          carrot
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          turnip
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          beet
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          sweet potato
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          arum
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          other root vegetables
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          pumpkin
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          gourd
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          bitter gourd
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          cucumber
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          parwal/patal
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          jhinga/toral
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          snake gourd
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          other gourd
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          cauliflower
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          cabbage
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          brinjal
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          lady's finger
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          liwi/palak
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          other leafy vegetables
        </labl>
        <catStat type="freq">
          108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          french beans &amp; barbati
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          tomato
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          peas
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          chilli (green)
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          capsicum
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          plantain (green)
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          jackfruit (green)
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          lemon (no.)
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          other vegetables
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          banana(no.)
        </labl>
        <catStat type="freq">
          273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          jackfruit
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          water melon
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          pine apple (no.)
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          coconut (no.)
        </labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          guava
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          singara
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          orange .mausami(no.)
        </labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          mango
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          kharhooza
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          pears (naspati)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          berries
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          leechi
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          apple
        </labl>
        <catStat type="freq">
          147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          grapes
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          other fresh fruits
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          coconut (copra)
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          groundnut
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          dates
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          cashew nut
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          walnut
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          other nuts
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          raisin (kishmish, monacca etc.)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          other dry fruits
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          sugar (crystal)-P.D.S.
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          sugar (crystal)-other sources
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Khandsari
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          gur(cane)
        </labl>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          gur (others)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          sugar candy (misri)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          honey
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          sugar (others)
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          sea salt
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          othersalt
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          turmeric (gm.)
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          black pepper (gm.)
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          dry chillies (gm.)
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          garlic (gm.)
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          tamarind (gm.)
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          ginger (gm.)
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          curry powder (gm.)
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          other spices (gm.)
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          tea : cups (no.)
        </labl>
        <catStat type="freq">
          1402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          tea :leaf(gm.)
        </labl>
        <catStat type="freq">
          151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          coffee : cups (no.)
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          coffee : powder (gm.)
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          rice
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          cold beverage : bottle/or canned (no.)
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          fruit juice and shake (glass)
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          coconut : green (no.)
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          other beverages (cocoa, chocolate, Boumvita, Ovaltine, Horlicks)
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          biscuits and confectionery
        </labl>
        <catStat type="freq">
          205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          salted refreshment
        </labl>
        <catStat type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          prepared sweets
        </labl>
        <catStat type="freq">
          380
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          cooked meals (no.)
        </labl>
        <catStat type="freq">
          1496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          cake, pastry
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          pickles (gm.)
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          sauce(gm.)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          jam/jelly (gm.)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          other processed food
        </labl>
        <catStat type="freq">
          159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          pan : leaf (no.)
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          pan : finished (no.)
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          supari(gm.)
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          lime(gm.)
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          katha (gm.)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          other ingredients for pan (gm.)
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          bidi(no.)
        </labl>
        <catStat type="freq">
          359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          cigarettes(no.)
        </labl>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          leaf tobacco
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          snuff (gm.)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          hookah tobacco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          cheroot (no.)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          zarda, kimam, surti (gni.)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          other tobacco products (gm.)
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          ganja(gni.)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          toddy (Itr.)
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          countryliquor(ltr.)
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          opium, bhang, charas (gm.)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          beer(ltr.)
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          foreign liquor or refined liquor (Itr.)
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          other drugs and intoxicants
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          coke
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          firewood and chips
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          electricity (st. unit)
        </labl>
        <catStat type="freq">
          133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          dungcake
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          kerosene (Itr.) P.D.S.
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          kerosene-other sources
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          matches (box)
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          coal-P.D.S.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          coal other sources
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          coal gas (st. unit)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          L.P.G. (kg.)
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          charcoal
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          other oil used for lighting (Itr.)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          475
        </catValu>
        <labl>
          candle (no.)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          476
        </catValu>
        <labl>
          methylated spirit (Itr.)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          477
        </catValu>
        <labl>
          gobar gas
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          other fuel and light
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          Dhoti (m)
        </labl>
        <catStat type="freq">
          170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          Sari (m)
        </labl>
        <catStat type="freq">
          843
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          Cloth for shirt, pyjama, salwar etc. (m)
        </labl>
        <catStat type="freq">
          624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          Cloth for coat, trousers, overcoat etc.(m)
        </labl>
        <catStat type="freq">
          176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Chaddar, dupatta, wrapper, shawl etc.
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          Lungi (no.)
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          486
        </catValu>
        <labl>
          Gamchha, towel, handkerchief etc.
        </labl>
        <catStat type="freq">
          136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          487
        </catValu>
        <labl>
          Hosiery articles, stockings, undergarments etc.
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          Ready made garments (no.)
        </labl>
        <catStat type="freq">
          452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          Headwear (no.)
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Knitted garments, sweater, pullover, cardigan, muffler, scarf etc. (no.)
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          Bed sheet, bed cover (no.)
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          Rug-blanket (no.)
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          495
        </catValu>
        <labl>
          Pillow, quilt, matterss (no.)
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          Cloth for upholstry, curtain, cloth etc. (m)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          497
        </catValu>
        <labl>
          Mosquito net (no.)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Mats and mattings (no.)
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Cotton, cotton yarn (gm.)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Knitting wool (gm.)
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Clothing – others.
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          leather boots, shoes (pair)
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          leather sandals, cha'ppals, etc.(pair)
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          other leather footwear (pair)
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          rubber/PVC footwear (pair)
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          518
        </catValu>
        <labl>
          other footwear (pair)
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          cinema, theatre
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          mela, fair picnic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          sports goods, toys etc.
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          club fees
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          goods for recreation and hobbies
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          photography
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          other amusement
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          lighter (bidi/cigarettes/gas stove)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          spectacles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          torch light
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          fountain pen
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          lock
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          umbrella, raincoat
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          walking stick etc.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          537
        </catValu>
        <labl>
          sanitary napkin
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          538
        </catValu>
        <labl>
          other goods for personal care and effect
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          toilet soap
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          toothbrush, tooth paste/tooth powder
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          542
        </catValu>
        <labl>
          powder, snow, cream
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          543
        </catValu>
        <labl>
          hair oil, lotion, shampoo, hair cream
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          544
        </catValu>
        <labl>
          comb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          545
        </catValu>
        <labl>
          shaving blades, shaving slick
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          546
        </catValu>
        <labl>
          shaving-cream
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          547
        </catValu>
        <labl>
          other shaving requisites
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          other toilet articles
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          electric bulb, tube light
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          electric batteries
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          other non-durable electric goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          earthenware
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          glassware
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          555
        </catValu>
        <labl>
          plastic goods
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          556
        </catValu>
        <labl>
          coir, rope, etc.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          557
        </catValu>
        <labl>
          washing soap
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          washing soda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          other washing requisites
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          agarbati
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl><![CDATA[flower (fresh) :  all purposes]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          564
        </catValu>
        <labl>
          insecticide and related products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          568
        </catValu>
        <labl>
          other petty articles
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          domestic servant/cook
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          sweeper
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          barber, beautician etc.
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          washerman, launderer
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          584
        </catValu>
        <labl>
          tailor
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          585
        </catValu>
        <labl>
          priest
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          legal expenses
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          587
        </catValu>
        <labl>
          postage &amp; telegram
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          590
        </catValu>
        <labl>
          telephone charges
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          repair charges
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          miscellaneous expenses
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          593
        </catValu>
        <labl>
          pet animals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          other consumer services
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          airways fare
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          railway fare
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          bus fare
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          taxi. auto-rickshaw fare
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          steamer, boat fare
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          605
        </catValu>
        <labl>
          rickshaw (hand drawn &amp; cycle fare)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          606
        </catValu>
        <labl>
          bullock cart fare
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          607
        </catValu>
        <labl>
          horse cart fare
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          hand operated cart fare
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          porter charges
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          petrol
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          diesel
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          lubricating oil
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          other imputed value of owned conveyance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          school bus/van fare
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          618
        </catValu>
        <labl>
          other hired conveyance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          house rent, garage rent
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          residential land rent
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          consumer rent (other goods)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          consumer taxes and cesses
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          water charges
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          648
        </catValu>
        <labl>
          other taxes etc.
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          books, journals
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          newspapers, periodicals
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          library charges
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          653
        </catValu>
        <labl>
          stationary articles
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          654
        </catValu>
        <labl>
          tuition fees (school/college)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          655
        </catValu>
        <labl>
          private tutor
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          658
        </catValu>
        <labl>
          other educational expenses
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          education :s.t. (650-658)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          medicine (non-institutional medical exp)
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          661
        </catValu>
        <labl>
          family planning appliances (non-institutional medical exp)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          X-Ray/ECG, pathological test etc. (non-institutional medical exp)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          doctor,s fees (non-institutional medical exp)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          664
        </catValu>
        <labl>
          nurse/midwife (non-institutional medical exp)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          668
        </catValu>
        <labl>
          other medical expenses (non-institutional medical exp)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          medicine (institutional medical exp)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          671
        </catValu>
        <labl>
          x-ray, ECG, pathological test etc. (institutional medical exp)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          672
        </catValu>
        <labl>
          doctor's/surgeon's fee (institutional medical exp)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          673
        </catValu>
        <labl>
          nurse/midwife (institutional medical exp)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          674
        </catValu>
        <labl>
          hospital charges (institutional medical exp)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          675
        </catValu>
        <labl>
          nursing home/polyclinic charges (institutional medical exp)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          678
        </catValu>
        <labl>
          other medical expenses (institutional medical exp)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          690
        </catValu>
        <labl>
          bedstead
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          691
        </catValu>
        <labl>
          almirah
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          692
        </catValu>
        <labl>
          dressing table
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          693
        </catValu>
        <labl>
          chair
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          coach. sofa
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          695
        </catValu>
        <labl>
          table.desk
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          696
        </catValu>
        <labl>
          stool. bench
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          697
        </catValu>
        <labl>
          suitcase, trunk, box, handbag and other travel goods
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          foam, ruhber cushion(dunlo pillow type)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          carpet and other floor matting
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          paintings, drawings, engravings etc.
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl>
          other furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          gramophone &amp; record player
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          radio
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          radiogram
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          television, VCR/VCP
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          camera &amp; other photographic equipment
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          715
        </catValu>
        <labl>
          tape recorder
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          harmonium
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          717
        </catValu>
        <labl>
          piano
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          music record, audio/ video cassette
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          other musical instruments
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          other goods for recreation, entertainment and hobbies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          730
        </catValu>
        <labl>
          gold ornaments
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          silver ornaments
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          jewels, pearls
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          738
        </catValu>
        <labl>
          other ornaments
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          stainless steel utensils
        </labl>
        <catStat type="freq">
          133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          bell metal utensils
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          copper utensils
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          aluminium utensils
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          iron utensils
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          745
        </catValu>
        <labl>
          brass utensils
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          746
        </catValu>
        <labl>
          enamel utensils
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          747
        </catValu>
        <labl>
          melamine crockery
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          748
        </catValu>
        <labl>
          other household utensils
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          electric fan
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          stove (pressure type/wick type)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          pressure cooker/pressure pan
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          non-sticking pan
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          754
        </catValu>
        <labl>
          geyser (hot water)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          755
        </catValu>
        <labl>
          sewing machine
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          washing machine
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          757
        </catValu>
        <labl>
          refridgerator
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          air conditioner, air cooler
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          761
        </catValu>
        <labl>
          lantern, lamp, electric lampshade
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          electric iron, heater, toaster, other electrical heating appliances
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          763
        </catValu>
        <labl>
          thermos / thermoware
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          768
        </catValu>
        <labl>
          oven etc. and other cooking &amp; household appliances /equipment
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          770
        </catValu>
        <labl>
          bicycle
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          771
        </catValu>
        <labl>
          motor cycle, scooter
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          motor car, jeep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          773
        </catValu>
        <labl>
          tyres &amp; tubes
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          774
        </catValu>
        <labl>
          perambulator
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          778
        </catValu>
        <labl>
          other transport equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          hearing aids
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          781
        </catValu>
        <labl>
          glass eyes artificial limbs, orthopaedic braces &amp; supports
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          782
        </catValu>
        <labl>
          surgical belts, trusses &amp; supports
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          783
        </catValu>
        <labl>
          clinical thermometer
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          other therapeutic appliances &amp; equipment
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          790
        </catValu>
        <labl>
          clock, watch
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          791
        </catValu>
        <labl>
          typewriter
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          electric hair drier &amp; shaver
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          798
        </catValu>
        <labl>
          any other personal goods
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          residential building and land (cost of repairs only)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          808
        </catValu>
        <labl>
          other durables (specify)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          food : s.t.
        </labl>
        <catStat type="freq">
          4882
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          non-food : s.t.
        </labl>
        <catStat type="freq">
          2593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Total (food+ non-food)
        </labl>
        <catStat type="freq">
          6330
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V326" name="Type_Code_Srl_No" files="F9" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Type Code / Serial No.
      </labl>
      <qstn>
        <qstnLit>
          Type Code / Serial No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V327" name="B3_3_q2" files="F9" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Block Reference
      </labl>
      <qstn>
        <qstnLit>
          Block Reference
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V568" name="B3_3_q5" files="F9" dcml="0" intrvl="contin">
      <location StartPos="40" EndPos="45" width="6" RecSegNo="1"/>
      <labl>
        Quantity of Goods and Services Received
      </labl>
      <qstn>
        <qstnLit>
          How many goods and services did the household receive in the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V569" name="B3_3_q6" files="F9" dcml="0" intrvl="contin">
      <location StartPos="46" EndPos="50" width="5" RecSegNo="1"/>
      <labl>
        Value of Goods and Services Received
      </labl>
      <qstn>
        <qstnLit>
          What was the value of goods and services received by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V570" name="B3_3_q7" files="F9" dcml="0" intrvl="contin">
      <location StartPos="51" EndPos="56" width="6" RecSegNo="1"/>
      <labl>
        Quantity of Gifts Given
      </labl>
      <qstn>
        <qstnLit>
          How many gifts were given by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V571" name="B3_3_q8" files="F9" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="61" width="5" RecSegNo="1"/>
      <labl>
        Value of Gifts Given
      </labl>
      <qstn>
        <qstnLit>
          What was the value of gifts given by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V572" name="B3_3_q9" files="F9" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="67" width="6" RecSegNo="1"/>
      <labl>
        Quantity of Gifts Received
      </labl>
      <qstn>
        <qstnLit>
          How many gifts were received by the household?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V573" name="B3_3_q10" files="F9" dcml="0" intrvl="contin">
      <location StartPos="68" EndPos="72" width="5" RecSegNo="1"/>
      <labl><![CDATA[Value of Gifts  Received]]></labl>
      <qstn>
        <qstnLit>
          What was the value of gifts received?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V334" name="Wgt_SubSample" wgt="wgt" files="F9" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="80" width="8" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="3" max="47094.98"/>
      </valrng>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        3
      </sumStat>
      <sumStat type="max">
        47094.98
      </sumStat>
      <sumStat type="mean">
        2840.792
      </sumStat>
      <sumStat type="stdev">
        2186.354
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V335" name="Wgt_Combined" wgt="wgt" files="F9" dcml="2" intrvl="contin">
      <location StartPos="81" EndPos="88" width="8" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.5" max="23547.49"/>
      </valrng>
      <sumStat type="vald">
        78078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.5
      </sumStat>
      <sumStat type="max">
        23547.49
      </sumStat>
      <sumStat type="mean">
        1458.157
      </sumStat>
      <sumStat type="stdev">
        1128.691
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V370" name="Person_key" files="F10" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a person in a household
      </labl>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for uniquely identifying  a person within a household by combining HHID (key to identify a household) and serial number of members.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V368" name="HHID" files="F10" intrvl="discrete">
      <location StartPos="12" EndPos="19" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V338" name="Rd_Sch" files="F10" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Indicates the NSS  round number and schedule number of this survey.]]></txt>
      <catgry>
        <catValu>
          501
        </catValu>
        <catStat type="freq">
          564537
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V339" name="St_Region" files="F10" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        State - Region
      </labl>
      <qstn>
        <qstnLit>
          State - Region
        </qstnLit>
        <ivuInstr>
          State and NSS region to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V369" name="State" files="F10" intrvl="discrete">
      <location StartPos="26" EndPos="27" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
        <ivuInstr>
          State to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal.
      </txt>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh             ]]></labl>
        <catStat type="freq">
          37320
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh        ]]></labl>
        <catStat type="freq">
          5973
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          20503
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Bihar    ]]></labl>
        <catStat type="freq">
          47166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Goa                      ]]></labl>
        <catStat type="freq">
          1491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                          ]]></labl>
        <catStat type="freq">
          22799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          9242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh        ]]></labl>
        <catStat type="freq">
          11283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir      ]]></labl>
        <catStat type="freq">
          7173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          25669
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          20013
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh          ]]></labl>
        <catStat type="freq">
          44693
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          46320
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          9164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          6966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          6715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          3704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          21203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          19909
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          25298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          2635
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          32615
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          9293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          75272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          36990
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          4161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          874
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli    ]]></labl>
        <catStat type="freq">
          1535
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Daman & Diu               ]]></labl>
        <catStat type="freq">
          745
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          4290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          1733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          1790
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State - Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V340" name="S_Sample" files="F10" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/block is central sample or state sample
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central
        </labl>
        <catStat type="freq">
          282157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State
        </labl>
        <catStat type="freq">
          282380
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V341" name="Sample" files="F10" intrvl="discrete">
      <location StartPos="29" EndPos="29" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V342" name="Sector" files="F10" intrvl="discrete">
      <location StartPos="30" EndPos="30" width="1" RecSegNo="1"/>
      <labl>
        Sector "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sector "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/ block is classified as Rural or Urban.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          356289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          208248
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V343" name="Stratum" files="F10" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each state two basic strata will be formed: (i) rural stratum comprising of all rural areas of the state and (ii) urban stratum comprising of all the urban areas of the state.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V344" name="S_Round" files="F10" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Sub - round
      </labl>
      <qstn>
        <qstnLit>
          Sub - round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub Round 1
        </labl>
        <catStat type="freq">
          140006
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub Round 2
        </labl>
        <catStat type="freq">
          139439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub Round 3
        </labl>
        <catStat type="freq">
          139781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub Round 4
        </labl>
        <catStat type="freq">
          145311
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V345" name="FSU_Srl_No" files="F10" intrvl="discrete">
      <location StartPos="34" EndPos="38" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector.  However, for some of the newly declared towns  of 1991 census for which UFS frame  has not been received, the  1991 census enumeration blocks are the first-stage units.This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V346" name="Second_Stratum" files="F10" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum "1''or "2"
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V347" name="HH_No" files="F10" intrvl="discrete">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V348" name="Level" files="F10" intrvl="discrete">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          564537
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V349" name="B4_q1" files="F10" intrvl="discrete">
      <location StartPos="44" EndPos="46" width="3" RecSegNo="1"/>
      <labl>
        Serial No. of members
      </labl>
      <qstn>
        <qstnLit>
          Serial No. of members
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V350" name="B4_q3" files="F10" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        Relation to Head Code
      </labl>
      <qstn>
        <qstnLit>
          What is your relation to head of the household?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
        <catStat type="freq">
          115745
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse of head
        </labl>
        <catStat type="freq">
          93495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married child
        </labl>
        <catStat type="freq">
          25788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Spouse of married child
        </labl>
        <catStat type="freq">
          24728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unmarried child
        </labl>
        <catStat type="freq">
          219227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchild
        </labl>
        <catStat type="freq">
          41104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Father/mother/father-in-law/mother-in-law
        </labl>
        <catStat type="freq">
          16247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Brother/sister/brother-in-law/sister-in-law/other relations
        </labl>
        <catStat type="freq">
          25967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Servant/employee/or non-relatives
        </labl>
        <catStat type="freq">
          2090
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V351" name="B4_q4" files="F10" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Sex Code
      </labl>
      <qstn>
        <qstnLit>
          Sex of the member
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          292571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          271966
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V352" name="B4_q5" files="F10" dcml="0" intrvl="contin">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          Age of the member
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        25.552
      </sumStat>
      <sumStat type="stdev">
        18.747
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V353" name="B4_q6" files="F10" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Marital Status Code
      </labl>
      <qstn>
        <qstnLit>
          Marital status of the member
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          283120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Currently married
        </labl>
        <catStat type="freq">
          251936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          27518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/separated
        </labl>
        <catStat type="freq">
          1834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          129
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V354" name="B4_q7" files="F10" intrvl="discrete">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        General Education Code
      </labl>
      <qstn>
        <qstnLit>
          Education of the member
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Not literate
        </labl>
        <catStat type="freq">
          242597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Literate through attending : NFEC/AEC
        </labl>
        <catStat type="freq">
          1382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          TLC
        </labl>
        <catStat type="freq">
          1048
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          5464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Literate but below primary
        </labl>
        <catStat type="freq">
          93542
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          71450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Middle
        </labl>
        <catStat type="freq">
          63634
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          41161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Higher secondary
        </labl>
        <catStat type="freq">
          22028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Graduate and above in : agriculture
        </labl>
        <catStat type="freq">
          623
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Graduate and above in : engineering/technology
        </labl>
        <catStat type="freq">
          1263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Graduate and above in : medicine
        </labl>
        <catStat type="freq">
          713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Graduate and above in : other subjects
        </labl>
        <catStat type="freq">
          19512
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V355" name="B4_q8" files="F10" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        No. of days stayed away
      </labl>
      <qstn>
        <qstnLit>
          How many days a member has stayed away from home during the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[The number of days for which the member 'stayed away from home' during the 30 days preceding the date of enquiry should be recorded here.  A continuous absence from home for 24 hours will be reckonedas a 'day stayed away.' That is, the entry will be made in completed number of days and any frac­tion of a day will be ignored.  The location of the place where the person stayed while away from his/her own household may also be within the same village/town, hence it may be noted that staying away will not only mean physical absence but also non-participation in food consumption from his/her own household.  If the number of days stayed away is found to be zero '00', may be recorded.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="30"/>
      </valrng>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        0.416
      </sumStat>
      <sumStat type="stdev">
        2.393
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V356" name="B4_q9" files="F10" dcml="0" intrvl="contin">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        No. of meals taken in a day
      </labl>
      <qstn>
        <qstnLit>
          How many meals are usually taken in a day by the household?
        </qstnLit>
        <ivuInstr><![CDATA[ The number of meals consumed by a person is usually reported as 2 or 3.  In rare cases, one may come across a person who may be taking food only once in a day or more than three times a day.  While in the former case the number of meals for the person will be 1 per day, in the latter case, only 3 should be entered.  That is, in this column, the recorded number of meals taken in a day even if it is reported to be higher, should not exceed 3.  A breast-fed baby does not directly share the food consumed by members of the household.  Hence for such babies the entry in this column will be '0'.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3"/>
      </valrng>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[A 'meal' is composed of one or more readily eat­able (generally cooked) items of food, the usual major constitu­ent of which is cereals.  The meals consumed by a person twice or thrice a day provide him/her the required energy (calories) and other nutrients for living and for pursuing his/her normal avoca­tions.  A 'meal' opposed to 'snacks', 'nashta' or 'high tea' con­tains larger quantum  and variety of food.  In rare cases, a full meal may contain larger quantity of non-cereal food.  Even then if the quantum of food in a plate is heavy as a meal, the cont­ents of the food food plate will also be considered as a 'meal'.  Sometimes the contents of a 'nastha' may not be very different from the contents of a 'meal'.  The difference in quantity will therefore be the guiding factor for deciding whether the plate is to be labeled as a 'meal' or a 'nastha'.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V357" name="B4_q10" files="F10" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="59" width="3" RecSegNo="1"/>
      <labl>
        No. of meals taken away from home - from school, balwadi etc.
      </labl>
      <qstn>
        <qstnLit><![CDATA[If  you or any member of the household  take meals free of cost from school, balwadi etc, then how many such meals are taken in a day?]]></qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="333"/>
      </valrng>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        333
      </sumStat>
      <sumStat type="mean">
        0.166
      </sumStat>
      <sumStat type="stdev">
        2.323
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V358" name="B4_q11" files="F10" dcml="0" intrvl="contin">
      <location StartPos="60" EndPos="61" width="2" RecSegNo="1"/>
      <labl>
        No. of meals taken away from home - from employer
      </labl>
      <qstn>
        <qstnLit><![CDATA[If you or any member of the household  take meals free of cost from employer, then how many such meals do you take in a day?]]></qstnLit>
        <ivuInstr><![CDATA[A person rendering domestic services (like cleaning uten­sils, dusting and cleaning rooms, washing lines, fetching water from outside etc.) to a number of households during the daytime gets some food from each of the households he/she serves.  Although the quantum of food received from a single household may, going by quantity, be far less than a full meal, the total quantity of food received from all the households taken together would often, if not more, be at least equivalent to a full meal.  In this particular situation, the person will be considered to be consuming one meal every day under 'meals taken away from home'.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        0.152
      </sumStat>
      <sumStat type="stdev">
        2.547
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V359" name="B4_q12" files="F10" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="64" width="3" RecSegNo="1"/>
      <labl>
        No. of meals taken away from home - from others
      </labl>
      <qstn>
        <qstnLit>
          If you or any member of the household take meals free of cost from others, then how many such meals do you take in a day?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="118"/>
      </valrng>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        118
      </sumStat>
      <sumStat type="mean">
        0.825
      </sumStat>
      <sumStat type="stdev">
        5.338
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V360" name="B4_q13" files="F10" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="67" width="3" RecSegNo="1"/>
      <labl>
        No. of meals taken away from home - on payment
      </labl>
      <qstn>
        <qstnLit>
          If you or any member of the household take meals away from home on payment, then how many such meals do you take?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="693"/>
      </valrng>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        693
      </sumStat>
      <sumStat type="mean">
        0.371
      </sumStat>
      <sumStat type="stdev">
        4.166
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V361" name="B4_q14" files="F10" dcml="0" intrvl="contin">
      <location StartPos="68" EndPos="70" width="3" RecSegNo="1"/>
      <labl>
        Meals taken at home
      </labl>
      <qstn>
        <qstnLit>
          How many meals are taken at home in a day?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="903"/>
      </valrng>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        903
      </sumStat>
      <sumStat type="mean">
        70.057
      </sumStat>
      <sumStat type="stdev">
        18.778
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V362" name="B4_q15" files="F10" intrvl="discrete">
      <location StartPos="71" EndPos="71" width="1" RecSegNo="1"/>
      <labl>
        Consumption of tobacco - smoking
      </labl>
      <qstn>
        <qstnLit>
          Does any member of the household smoke?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Regular
        </labl>
        <catStat type="freq">
          61633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Casual
        </labl>
        <catStat type="freq">
          6104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Not consuming
        </labl>
        <catStat type="freq">
          496572
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V363" name="B4_q16" files="F10" intrvl="discrete">
      <location StartPos="72" EndPos="72" width="1" RecSegNo="1"/>
      <labl>
        Consumption of tobacco - chewing zarda etc.
      </labl>
      <qstn>
        <qstnLit>
          Does any member of the household chew zarda etc.?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Regular
        </labl>
        <catStat type="freq">
          34831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Casual
        </labl>
        <catStat type="freq">
          6152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Not consuming
        </labl>
        <catStat type="freq">
          523344
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V364" name="B4_q17" files="F10" intrvl="discrete">
      <location StartPos="73" EndPos="73" width="1" RecSegNo="1"/>
      <labl>
        Consumption of tobacco - snuff
      </labl>
      <qstn>
        <qstnLit>
          Does any member of the household take snuff?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          217
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Regular
        </labl>
        <catStat type="freq">
          2179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Casual
        </labl>
        <catStat type="freq">
          328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Not consuming
        </labl>
        <catStat type="freq">
          561813
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V365" name="B4_q18" files="F10" intrvl="discrete">
      <location StartPos="74" EndPos="74" width="1" RecSegNo="1"/>
      <labl><![CDATA[Consumption of tobacco -  burnt tobacco powder]]></labl>
      <qstn>
        <qstnLit>
          Does any member of the household use burnt tobacco powder?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Regular
        </labl>
        <catStat type="freq">
          10649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Casual
        </labl>
        <catStat type="freq">
          1050
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Not consuming
        </labl>
        <catStat type="freq">
          552584
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V366" name="Wgt_SubSample" wgt="wgt" files="F10" dcml="2" intrvl="contin">
      <location StartPos="75" EndPos="82" width="8" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="53557.09"/>
      </valrng>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        53557.09
      </sumStat>
      <sumStat type="mean">
        2708.583
      </sumStat>
      <sumStat type="stdev">
        2189.014
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V367" name="Wgt_Combined" wgt="wgt" files="F10" dcml="2" intrvl="contin">
      <location StartPos="83" EndPos="90" width="8" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="26778.55"/>
      </valrng>
      <sumStat type="vald">
        564537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        26778.55
      </sumStat>
      <sumStat type="mean">
        1377.459
      </sumStat>
      <sumStat type="stdev">
        1120.026
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V24" name="HHID" files="F1" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1" name="Rd_Sch" files="F1" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Indicates the NSS  round number and schedule number of this survey.]]></txt>
      <catgry>
        <catValu>
          501
        </catValu>
        <catStat type="freq">
          6322009
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2" name="St_Region" files="F1" intrvl="discrete">
      <location StartPos="12" EndPos="14" width="3" RecSegNo="1"/>
      <labl>
        State - Region
      </labl>
      <qstn>
        <qstnLit>
          State - Region
        </qstnLit>
        <ivuInstr>
          State and NSS region to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V25" name="State" files="F1" intrvl="discrete">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
        <ivuInstr>
          State to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal.
      </txt>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh             ]]></labl>
        <catStat type="freq">
          470851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh        ]]></labl>
        <catStat type="freq">
          48786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          241150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Bihar    ]]></labl>
        <catStat type="freq">
          426449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Goa                      ]]></labl>
        <catStat type="freq">
          20896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                          ]]></labl>
        <catStat type="freq">
          273222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          92065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh        ]]></labl>
        <catStat type="freq">
          117217
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir      ]]></labl>
        <catStat type="freq">
          73866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          315447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          256332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh          ]]></labl>
        <catStat type="freq">
          451084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          613214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          78048
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          90239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          77243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          37183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          220011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          216516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          231263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          33596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          468510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          113071
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          717135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          451048
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          54457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          13129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli    ]]></labl>
        <catStat type="freq">
          17518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Daman & Diu               ]]></labl>
        <catStat type="freq">
          10275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          53420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          16531
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          22237
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State - Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V3" name="S_Sample" files="F1" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/block is central sample or state sample
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central
        </labl>
        <catStat type="freq">
          3157145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State
        </labl>
        <catStat type="freq">
          3164864
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="Sample" files="F1" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V5" name="Sector" files="F1" intrvl="discrete">
      <location StartPos="19" EndPos="19" width="1" RecSegNo="1"/>
      <labl>
        Sector "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sector "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/ block is classified as Rural or Urban.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          3654737
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          2667272
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V6" name="Stratum" files="F1" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each state two basic strata will be formed: (i) rural stratum comprising of all rural areas of the state and (ii) urban stratum comprising of all the urban areas of the state.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V7" name="S_Round" files="F1" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Sub - round
      </labl>
      <qstn>
        <qstnLit>
          Sub - round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub Round 1
        </labl>
        <catStat type="freq">
          1560545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub Round 2
        </labl>
        <catStat type="freq">
          1575623
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub Round 3
        </labl>
        <catStat type="freq">
          1573270
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub Round 4
        </labl>
        <catStat type="freq">
          1612571
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V8" name="FSU_Srl_No" files="F1" intrvl="discrete">
      <location StartPos="23" EndPos="27" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector.  However, for some of the newly declared towns  of 1991 census for which UFS frame  has not been received, the  1991 census enumeration blocks are the first-stage units.This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V9" name="Second_Stratum" files="F1" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum "1''or "2"
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="HH_No" files="F1" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V11" name="Level" files="F1" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          05
        </catValu>
        <catStat type="freq">
          6322009
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V13" name="B5_q1" files="F1" intrvl="discrete">
      <location StartPos="33" EndPos="35" width="3" RecSegNo="1"/>
      <labl>
        Block 5 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 5 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[A three-digit code system for identification of each item of consumer expenditure has been used. The digit in the hundreds place  indicates broad division of items; the  hundred and tens places together specify groups of items and all the three digits together indicate a particular item.  Item code ending with '8' represents 'others', that is, any item belonging to the particular group but not listed sepa­rately.  Similarly, a code with '9' in the unit place is a sub-total item.

Groups of consumption items : The following broad item groups have been taken. These are (1) cereals (2) gram (3) cereal substitutes (4) pulses & pulses products (5) milk and milk products (6) edible oil (7) meat, fish & egg (8) vegetables (9) fruits & nuts (10) sugar (11) salt (12) spices (13) beverages, refreshments & processed food (14) pan, tobacco & intoxicants (15) fuel & light 

Beverages, etc.: This refers to the food group beverages, refreshments & processed food. Processed food includes confectionery, biscuits, jam, pickles, etc. unless these are prepared within the household (in which case consumption would be accounted under the various ingredients such as sugar, flour, etc.) and, importantly, cooked meals purchased and consumed by household members.]]></txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          paddy
        </labl>
        <catStat type="freq">
          265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          rice—P.D.S.
        </labl>
        <catStat type="freq">
          28800
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          rice—other sources
        </labl>
        <catStat type="freq">
          97923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          chira
        </labl>
        <catStat type="freq">
          13104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          khoi, lawa
        </labl>
        <catStat type="freq">
          1125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          muri
        </labl>
        <catStat type="freq">
          15752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          other rice products
        </labl>
        <catStat type="freq">
          3185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          rice :s.t.(101—108)
        </labl>
        <catStat type="freq">
          106153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          wheat—P.D.S.
        </labl>
        <catStat type="freq">
          13431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          wheat—other sources
        </labl>
        <catStat type="freq">
          24774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          atta—P.D.S.
        </labl>
        <catStat type="freq">
          11685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          atta—other sources
        </labl>
        <catStat type="freq">
          66575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          maida
        </labl>
        <catStat type="freq">
          8212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          suji, rawa
        </labl>
        <catStat type="freq">
          22895
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          sewai, noodles
        </labl>
        <catStat type="freq">
          3047
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          bread (bakery)
        </labl>
        <catStat type="freq">
          17993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          other wheat products
        </labl>
        <catStat type="freq">
          623
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          wheat :s.t.(110--118)
        </labl>
        <catStat type="freq">
          86143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          jowar—P.D.S.
        </labl>
        <catStat type="freq">
          109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          jowar—other sources
        </labl>
        <catStat type="freq">
          7320
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          jowar products
        </labl>
        <catStat type="freq">
          9582
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          jowar : s.t. (120—122)
        </labl>
        <catStat type="freq">
          10699
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          bajra--P.D.S.
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          bajra—other sources
        </labl>
        <catStat type="freq">
          3857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          bajra products
        </labl>
        <catStat type="freq">
          4773
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          bajra : s.t. (130—132)
        </labl>
        <catStat type="freq">
          5761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          maize—P.D.S.
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          maize—other sources
        </labl>
        <catStat type="freq">
          4513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          maize products
        </labl>
        <catStat type="freq">
          5724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          maize : s.t. (140—142)
        </labl>
        <catStat type="freq">
          8732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          barley
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          barley products
        </labl>
        <catStat type="freq">
          212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          barley :s.t. (150+151)
        </labl>
        <catStat type="freq">
          305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          small millets
        </labl>
        <catStat type="freq">
          594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          small millets products
        </labl>
        <catStat type="freq">
          485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          small millets : s.t. (160+161)
        </labl>
        <catStat type="freq">
          1028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          ragi
        </labl>
        <catStat type="freq">
          3949
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          ragi products
        </labl>
        <catStat type="freq">
          4394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          ragi :s.t. (170+171)
        </labl>
        <catStat type="freq">
          5104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          total cereal : (109+119+124+ 139+ 149+159+169+179)
        </labl>
        <catStat type="freq">
          112567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          gram (whole grain)
        </labl>
        <catStat type="freq">
          18596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          gram products
        </labl>
        <catStat type="freq">
          4341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          gram : s.t. (190+191)
        </labl>
        <catStat type="freq">
          21758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          tapioca/sago
        </labl>
        <catStat type="freq">
          6645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          tapioca (green)
        </labl>
        <catStat type="freq">
          2754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          mahua
        </labl>
        <catStat type="freq">
          108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Jackfruit seed
        </labl>
        <catStat type="freq">
          201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          other cereal substitutes
        </labl>
        <catStat type="freq">
          424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          cereal substitutes (200—208)
        </labl>
        <catStat type="freq">
          9888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          arhar(tur)—P.D.S.
        </labl>
        <catStat type="freq">
          1647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          arhar—other sources
        </labl>
        <catStat type="freq">
          62284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          gram (split)—P.D.S.
        </labl>
        <catStat type="freq">
          668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          gram (split)—other sources
        </labl>
        <catStat type="freq">
          34534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          moong—P.D.S.
        </labl>
        <catStat type="freq">
          669
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          moong—other sources
        </labl>
        <catStat type="freq">
          52273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          masur—P.D.S.
        </labl>
        <catStat type="freq">
          934
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          masur—other sources
        </labl>
        <catStat type="freq">
          46637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          urd—P.D.S.
        </labl>
        <catStat type="freq">
          727
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          urd—other sources
        </labl>
        <catStat type="freq">
          41377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          khesari—P.D.S.
        </labl>
        <catStat type="freq">
          173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          khesari—other sources
        </labl>
        <catStat type="freq">
          3724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          peas
        </labl>
        <catStat type="freq">
          7184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          soyabean
        </labl>
        <catStat type="freq">
          2299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          other pulses
        </labl>
        <catStat type="freq">
          17516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          besan
        </labl>
        <catStat type="freq">
          23384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          other pulse products
        </labl>
        <catStat type="freq">
          8086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          pulses &amp; products : s.t. (210—228)
        </labl>
        <catStat type="freq">
          110024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          milk : liquid (litre)
        </labl>
        <catStat type="freq">
          81832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          baby food '
        </labl>
        <catStat type="freq">
          1285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          milk : cond./powder
        </labl>
        <catStat type="freq">
          6984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          curd
        </labl>
        <catStat type="freq">
          5252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          ghee
        </labl>
        <catStat type="freq">
          13919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          butter
        </labl>
        <catStat type="freq">
          2267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          rice-cream(no.)
        </labl>
        <catStat type="freq">
          1039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          other milk products
        </labl>
        <catStat type="freq">
          1818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          milk &amp; milk products : s.t. (230-238)
        </labl>
        <catStat type="freq">
          88655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          vanaspati-P.D.S.
        </labl>
        <catStat type="freq">
          941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          vanaspati-other sources
        </labl>
        <catStat type="freq">
          19462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          margarine
        </labl>
        <catStat type="freq">
          126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          mustard oil—P.D.S.
        </labl>
        <catStat type="freq">
          831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          mustard oil—other sources
        </labl>
        <catStat type="freq">
          57210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          groundnut oil—P.D.S.
        </labl>
        <catStat type="freq">
          606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          ground nut oil—other sources
        </labl>
        <catStat type="freq">
          33687
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          coconut oil—P.D.S.
        </labl>
        <catStat type="freq">
          458
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          coconut oil—other sources
        </labl>
        <catStat type="freq">
          4879
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          gingelly (til)oil—P.D.S.
        </labl>
        <catStat type="freq">
          221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          gingelly (til)—other sources
        </labl>
        <catStat type="freq">
          4115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          linseed oil—P.D.S.
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          linseed oil—other sources
        </labl>
        <catStat type="freq">
          1188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          refined oil—P.D.S.
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          refined oil—other sources
        </labl>
        <catStat type="freq">
          6008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          palm oil—P.D.S.
        </labl>
        <catStat type="freq">
          920
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          palm oil—other sources
        </labl>
        <catStat type="freq">
          374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          rapeseed oil—P.D.S.
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          rapeseed oil—other sources
        </labl>
        <catStat type="freq">
          194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          oil seeds
        </labl>
        <catStat type="freq">
          3467
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          edible oil (others)
        </labl>
        <catStat type="freq">
          4233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          edible oil s.t. (240-268)
        </labl>
        <catStat type="freq">
          110905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          goat meat
        </labl>
        <catStat type="freq">
          26251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          mutton
        </labl>
        <catStat type="freq">
          6456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          beef
        </labl>
        <catStat type="freq">
          7967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          pork
        </labl>
        <catStat type="freq">
          5642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          buffalo meat
        </labl>
        <catStat type="freq">
          2474
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          other meat
        </labl>
        <catStat type="freq">
          1126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          chicken
        </labl>
        <catStat type="freq">
          12199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          otherbirds(no.)
        </labl>
        <catStat type="freq">
          1134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          eggs(no.)
        </labl>
        <catStat type="freq">
          33715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          egg products
        </labl>
        <catStat type="freq">
          422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          fish (fresh)
        </labl>
        <catStat type="freq">
          38587
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          fish (dry)
        </labl>
        <catStat type="freq">
          11162
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          fish (canned)
        </labl>
        <catStat type="freq">
          670
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          others (specify)
        </labl>
        <catStat type="freq">
          620
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          meat, egg, fish : s.t. (270-288)
        </labl>
        <catStat type="freq">
          69583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          potato
        </labl>
        <catStat type="freq">
          102730
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          onion
        </labl>
        <catStat type="freq">
          103278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          radish
        </labl>
        <catStat type="freq">
          27231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          carrot
        </labl>
        <catStat type="freq">
          18741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          turnip
        </labl>
        <catStat type="freq">
          2180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          beet
        </labl>
        <catStat type="freq">
          3076
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          sweet potato
        </labl>
        <catStat type="freq">
          3536
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          arum
        </labl>
        <catStat type="freq">
          12693
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          other root vegetables
        </labl>
        <catStat type="freq">
          8163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          root vegetable : s.t. (290-298)
        </labl>
        <catStat type="freq">
          110708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          pumpkin
        </labl>
        <catStat type="freq">
          26011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          gourd
        </labl>
        <catStat type="freq">
          37673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          bitter gourd
        </labl>
        <catStat type="freq">
          24170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          cucumber
        </labl>
        <catStat type="freq">
          20076
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          parwal/patal
        </labl>
        <catStat type="freq">
          11220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          jhinga/toral
        </labl>
        <catStat type="freq">
          21985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          snake gourd
        </labl>
        <catStat type="freq">
          6289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          other gourd
        </labl>
        <catStat type="freq">
          8680
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          gourd : s.t. (300-308)
        </labl>
        <catStat type="freq">
          74048
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          cauliflower
        </labl>
        <catStat type="freq">
          34005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          cabbage
        </labl>
        <catStat type="freq">
          45827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          brinjal
        </labl>
        <catStat type="freq">
          82129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          lady's finger
        </labl>
        <catStat type="freq">
          46086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          liwi/palak
        </labl>
        <catStat type="freq">
          28927
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          other leafy vegetables
        </labl>
        <catStat type="freq">
          65797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          french beans &amp; barbati
        </labl>
        <catStat type="freq">
          20741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          tomato
        </labl>
        <catStat type="freq">
          75135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          peas
        </labl>
        <catStat type="freq">
          11549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          chilli (green)
        </labl>
        <catStat type="freq">
          88824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          capsicum
        </labl>
        <catStat type="freq">
          2748
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          plantain (green)
        </labl>
        <catStat type="freq">
          10443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          jackfruit (green)
        </labl>
        <catStat type="freq">
          2771
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          lemon (no.)
        </labl>
        <catStat type="freq">
          36529
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          other vegetables
        </labl>
        <catStat type="freq">
          39818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          othervegetables s.t. (310-328)
        </labl>
        <catStat type="freq">
          111364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          vegetable (all) :/299+309+329)
        </labl>
        <catStat type="freq">
          112316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          banana(no.)
        </labl>
        <catStat type="freq">
          64274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          jackfruit
        </labl>
        <catStat type="freq">
          935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          water melon
        </labl>
        <catStat type="freq">
          2573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          pine apple (no.)
        </labl>
        <catStat type="freq">
          1814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          coconut (no.)
        </labl>
        <catStat type="freq">
          29552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          guava
        </labl>
        <catStat type="freq">
          16514
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          singara
        </labl>
        <catStat type="freq">
          1106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          orange .mausami(no.)
        </labl>
        <catStat type="freq">
          13712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          mango
        </labl>
        <catStat type="freq">
          11958
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          kharhooza
        </labl>
        <catStat type="freq">
          1374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          pears (naspati)
        </labl>
        <catStat type="freq">
          757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          berries
        </labl>
        <catStat type="freq">
          1142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          leechi
        </labl>
        <catStat type="freq">
          394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          apple
        </labl>
        <catStat type="freq">
          21285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          grapes
        </labl>
        <catStat type="freq">
          11593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          other fresh fruits
        </labl>
        <catStat type="freq">
          8735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          fruit (fresh) :s.t. (340-358)
        </labl>
        <catStat type="freq">
          84833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          coconut (copra)
        </labl>
        <catStat type="freq">
          10177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          groundnut
        </labl>
        <catStat type="freq">
          18635
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          dates
        </labl>
        <catStat type="freq">
          986
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          cashew nut
        </labl>
        <catStat type="freq">
          2948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          walnut
        </labl>
        <catStat type="freq">
          261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          other nuts
        </labl>
        <catStat type="freq">
          662
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          raisin (kishmish, monacca etc.)
        </labl>
        <catStat type="freq">
          2952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          other dry fruits
        </labl>
        <catStat type="freq">
          2049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          fruits (dry) : s.t. (360-368)
        </labl>
        <catStat type="freq">
          25688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          sugar (crystal)-P.D.S.
        </labl>
        <catStat type="freq">
          74070
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          sugar (crystal)-other sources
        </labl>
        <catStat type="freq">
          75989
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Khandsari
        </labl>
        <catStat type="freq">
          1438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          gur(cane)
        </labl>
        <catStat type="freq">
          27955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          gur (others)
        </labl>
        <catStat type="freq">
          3104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          sugar candy (misri)
        </labl>
        <catStat type="freq">
          374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          honey
        </labl>
        <catStat type="freq">
          290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          sugar (others)
        </labl>
        <catStat type="freq">
          978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          sugar :s.t.(370-378)
        </labl>
        <catStat type="freq">
          105891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          sea salt
        </labl>
        <catStat type="freq">
          103827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          othersalt
        </labl>
        <catStat type="freq">
          9381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          salt: s.t. (380-388)
        </labl>
        <catStat type="freq">
          112185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          turmeric (gm.)
        </labl>
        <catStat type="freq">
          104891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          black pepper (gm.)
        </labl>
        <catStat type="freq">
          33891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          dry chillies (gm.)
        </labl>
        <catStat type="freq">
          96984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          garlic (gm.)
        </labl>
        <catStat type="freq">
          85747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          tamarind (gm.)
        </labl>
        <catStat type="freq">
          30604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          ginger (gm.)
        </labl>
        <catStat type="freq">
          54836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          curry powder (gm.)
        </labl>
        <catStat type="freq">
          17795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          other spices (gm.)
        </labl>
        <catStat type="freq">
          100661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          spices : s.t. (390-398)
        </labl>
        <catStat type="freq">
          111715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          tea : cups (no.)
        </labl>
        <catStat type="freq">
          59227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          tea :leaf(gm.)
        </labl>
        <catStat type="freq">
          87809
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          coffee : cups (no.)
        </labl>
        <catStat type="freq">
          2141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          coffee : powder (gm.)
        </labl>
        <catStat type="freq">
          10746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          rice
        </labl>
        <catStat type="freq">
          419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          cold beverage : bottle/or canned (no.)
        </labl>
        <catStat type="freq">
          2555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          fruit juice and shake (glass)
        </labl>
        <catStat type="freq">
          1722
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          coconut : green (no.)
        </labl>
        <catStat type="freq">
          2300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          other beverages (cocoa, chocolate, Boumvita, Ovaltine, Horlicks)
        </labl>
        <catStat type="freq">
          5730
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          beverages : s.t. (400-408)
        </labl>
        <catStat type="freq">
          104045
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          biscuits and confectionery
        </labl>
        <catStat type="freq">
          57349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          salted refreshment
        </labl>
        <catStat type="freq">
          48591
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          prepared sweets
        </labl>
        <catStat type="freq">
          27659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          cooked meals (no.)
        </labl>
        <catStat type="freq">
          10590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          cake, pastry
        </labl>
        <catStat type="freq">
          1157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          pickles (gm.)
        </labl>
        <catStat type="freq">
          14720
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          sauce(gm.)
        </labl>
        <catStat type="freq">
          1306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          jam/jelly (gm.)
        </labl>
        <catStat type="freq">
          1518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          other processed food
        </labl>
        <catStat type="freq">
          14800
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          processed food :s.t. (410-418)
        </labl>
        <catStat type="freq">
          86000
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          beveragesetc. : s.t. (409+419)
        </labl>
        <catStat type="freq">
          108844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          pan : leaf (no.)
        </labl>
        <catStat type="freq">
          17323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          pan : finished (no.)
        </labl>
        <catStat type="freq">
          15366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          supari(gm.)
        </labl>
        <catStat type="freq">
          19935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          lime(gm.)
        </labl>
        <catStat type="freq">
          21923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          katha (gm.)
        </labl>
        <catStat type="freq">
          4498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          other ingredients for pan (gm.)
        </labl>
        <catStat type="freq">
          5756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          pan :s.t. (430-438)
        </labl>
        <catStat type="freq">
          38683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          bidi(no.)
        </labl>
        <catStat type="freq">
          42918
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          cigarettes(no.)
        </labl>
        <catStat type="freq">
          10435
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          leaf tobacco
        </labl>
        <catStat type="freq">
          22449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          snuff (gm.)
        </labl>
        <catStat type="freq">
          1740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          hookah tobacco
        </labl>
        <catStat type="freq">
          3210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          cheroot (no.)
        </labl>
        <catStat type="freq">
          1384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          zarda, kimam, surti (gni.)
        </labl>
        <catStat type="freq">
          5172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          other tobacco products (gm.)
        </labl>
        <catStat type="freq">
          7049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          tabacco : s.t. (440-448)
        </labl>
        <catStat type="freq">
          72138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          ganja(gni.)
        </labl>
        <catStat type="freq">
          241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          toddy (Itr.)
        </labl>
        <catStat type="freq">
          2362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          countryliquor(ltr.)
        </labl>
        <catStat type="freq">
          10397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          opium, bhang, charas (gm.)
        </labl>
        <catStat type="freq">
          122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          beer(ltr.)
        </labl>
        <catStat type="freq">
          911
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          foreign liquor or refined liquor (Itr.)
        </labl>
        <catStat type="freq">
          2316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          other drugs and intoxicants
        </labl>
        <catStat type="freq">
          917
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          intoxicants : s.t. (450-458)
        </labl>
        <catStat type="freq">
          16151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          coke
        </labl>
        <catStat type="freq">
          1421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          firewood and chips
        </labl>
        <catStat type="freq">
          77897
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          electricity (st. unit)
        </labl>
        <catStat type="freq">
          63982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          dungcake
        </labl>
        <catStat type="freq">
          36113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          kerosene (Itr.) P.D.S.
        </labl>
        <catStat type="freq">
          71420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          kerosene-other sources
        </labl>
        <catStat type="freq">
          43888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          matches (box)
        </labl>
        <catStat type="freq">
          109636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          coal-P.D.S.
        </labl>
        <catStat type="freq">
          332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          coal other sources
        </labl>
        <catStat type="freq">
          2367
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          coal gas (st. unit)
        </labl>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          L.P.G. (kg.)
        </labl>
        <catStat type="freq">
          17454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          charcoal
        </labl>
        <catStat type="freq">
          599
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          other oil used for lighting (Itr.)
        </labl>
        <catStat type="freq">
          1423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          475
        </catValu>
        <labl>
          candle (no.)
        </labl>
        <catStat type="freq">
          13742
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          476
        </catValu>
        <labl>
          methylated spirit (Itr.)
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          477
        </catValu>
        <labl>
          gobar gas
        </labl>
        <catStat type="freq">
          390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          other fuel and light
        </labl>
        <catStat type="freq">
          5842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          fuel and light :s.t. (460-478)
        </labl>
        <catStat type="freq">
          114125
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V15" name="B5_q3" files="F1" dcml="2" intrvl="contin">
      <location StartPos="36" EndPos="44" width="9" RecSegNo="1"/>
      <labl>
        Cash Purchase - Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in cash in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="500000"/>
      </valrng>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        500000
      </sumStat>
      <sumStat type="mean">
        51.823
      </sumStat>
      <sumStat type="stdev">
        396.4
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V16" name="B5_q4" files="F1" dcml="2" intrvl="contin">
      <location StartPos="45" EndPos="52" width="8" RecSegNo="1"/>
      <labl>
        Cash Purchase - Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household in cash on the purchase of the item in the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[The quantity and value respectively of items purchased in ex­change of money during the last 30 days prior to the date of survey will be recorded.  Here purchase will be mean only those purchased against cash payment (including those made on credit but to be paid in cash).  Barter purchase, if any, will not be considered here. Purchase made for domestic consumption only should be considered.  It may be noted that purchase made for gifts, charities etc. for household ceremonial purposes should be considered as household purchase  and the total quantity and value of purchase should be inclusive of such purchases.  In case may purchase should be inclusive of such purchases.  In case any purchase is both for productive and consumption purposes, the part ascribable to productive purposes should be excluded.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="10000"/>
      </valrng>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10000
      </sumStat>
      <sumStat type="mean">
        42.22
      </sumStat>
      <sumStat type="stdev">
        88.784
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V17" name="B5_q5" files="F1" dcml="2" intrvl="contin">
      <location StartPos="53" EndPos="61" width="9" RecSegNo="1"/>
      <labl>
        Consumption out of home grown stock - Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was consumed by the household out of the home grown stock in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="551236.11"/>
      </valrng>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        551236.11
      </sumStat>
      <sumStat type="mean">
        4.463
      </sumStat>
      <sumStat type="stdev">
        314.561
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V18" name="B5_q6" files="F1" dcml="2" intrvl="contin">
      <location StartPos="62" EndPos="68" width="7" RecSegNo="1"/>
      <labl>
        Consumption out of home grown stock - Value
      </labl>
      <qstn>
        <qstnLit>
          How much of home grown item was consumed by the household in the last 30 days in terms of monetary value?
        </qstnLit>
        <ivuInstr><![CDATA[The value will be imputed at the ex-farm or ex-factory price.  Home-produced agri­cultural produce includes any produce obtained from cultivation by the household or obtained in the form of rent-share of land leased out.  Produce brought from village home and consumed in urban residence will also be treated as home-grown stock.  Trans­port charges for carrying the commodity to the place of residence for consumption should not be added to the ex-farm/ex-factory value.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="7100"/>
      </valrng>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        7100
      </sumStat>
      <sumStat type="mean">
        11.129
      </sumStat>
      <sumStat type="stdev">
        69.533
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V19" name="B5_q7" files="F1" dcml="2" intrvl="contin">
      <location StartPos="69" EndPos="77" width="9" RecSegNo="1"/>
      <labl>
        Total consumption - Quantity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="900050"/>
      </valrng>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        900050
      </sumStat>
      <sumStat type="mean">
        62.975
      </sumStat>
      <sumStat type="stdev">
        595.537
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V20" name="B5_q8" files="F1" dcml="2" intrvl="contin">
      <location StartPos="78" EndPos="86" width="9" RecSegNo="1"/>
      <labl>
        Total consumption - Value
      </labl>
      <qstn>
        <ivuInstr><![CDATA[In this block infor­mation will be collected on purchase, consumption out of home-grown stock and total consumption of each item of food, pan, tobacco, intoxicants and fuel and light for the household during the last 30 days prior to the date of survey.  Purchase and consumption of items by members of the household during their days of absence from the usual residence should also be taken into account, as far as possible, while making entries against the items of this block.  For certain important items, the break-up of purchase and consumption figure by two sources, namely "public distribution system" and "other sources" is required.  The purpose is to study the extent of availability and utilization of the public distribution system.

The total consumption data should be strictly restricted to the domestic consumption of the household.  The expenditure incurred on account of pet animals will be ex­cluded.  The expenditure should be recorded under item 593 of block 8.  It may be noted that consumption by livestock belonging to the household will not be included in the household consump­tion.  Accounting should, however, be made of the livestock products like milk, meat, egg, etc., obtained from such livestock and consumed by the household.  While making entries on household consumption, care should be taken not to include any transfer payment in kind like, loans, advances, charities, gifts, etc.  made in kind.  But consumption from  transfer receipts will be included.  Total consumption of the household will consist of consumption made out of :-
            (1) commodities purchased in cash;
            (2) commodities received in exchange of goods and services;
            (3) home-grown/home-produced stock;
            (4) transfer receipts such as gifts, loans, charities, etc., and
            (5) free collection.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="100531.42"/>
      </valrng>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        100531.42
      </sumStat>
      <sumStat type="mean">
        55.923
      </sumStat>
      <sumStat type="stdev">
        123.314
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V21" name="Producer_Code" files="F1" intrvl="discrete">
      <location StartPos="87" EndPos="94" width="8" RecSegNo="1"/>
      <labl>
        Producer Code
      </labl>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        Data layout is not in accordance with the questionnaire. There are some additional variables created which the users can ignore.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V22" name="Wgt_SubSample" wgt="wgt" files="F1" dcml="2" intrvl="contin">
      <location StartPos="95" EndPos="102" width="8" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="53557.09"/>
      </valrng>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        53557.09
      </sumStat>
      <sumStat type="mean">
        2694.966
      </sumStat>
      <sumStat type="stdev">
        2225.494
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V23" name="Wgt_Combined" wgt="wgt" files="F1" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="110" width="8" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="26778.55"/>
      </valrng>
      <sumStat type="vald">
        6322009
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        26778.55
      </sumStat>
      <sumStat type="mean">
        1369.978
      </sumStat>
      <sumStat type="stdev">
        1137.283
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V48" name="HHID" files="F2" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V26" name="Rd_Sch" files="F2" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Indicates the NSS  round number and schedule number of this survey.]]></txt>
      <catgry>
        <catValu>
          501
        </catValu>
        <catStat type="freq">
          978051
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V27" name="St_Region" files="F2" intrvl="discrete">
      <location StartPos="12" EndPos="14" width="3" RecSegNo="1"/>
      <labl>
        State - Region
      </labl>
      <qstn>
        <qstnLit>
          State - Region
        </qstnLit>
        <ivuInstr>
          State and NSS region to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V49" name="State" files="F2" intrvl="discrete">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
        <ivuInstr>
          State to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal.
      </txt>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh             ]]></labl>
        <catStat type="freq">
          65969
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh        ]]></labl>
        <catStat type="freq">
          6778
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          39254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Bihar    ]]></labl>
        <catStat type="freq">
          79384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Goa                      ]]></labl>
        <catStat type="freq">
          2474
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                          ]]></labl>
        <catStat type="freq">
          39504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          14313
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh        ]]></labl>
        <catStat type="freq">
          14642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir      ]]></labl>
        <catStat type="freq">
          10138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          40009
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          37078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh          ]]></labl>
        <catStat type="freq">
          80573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          80603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          10641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          11875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          9292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          6472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          37059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          29846
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          41788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          5609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          61174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          18627
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          129511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          80376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          9054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          1790
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli    ]]></labl>
        <catStat type="freq">
          2554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Daman & Diu               ]]></labl>
        <catStat type="freq">
          1271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          4913
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          2249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          3231
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State - Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V28" name="S_Sample" files="F2" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/block is central sample or state sample
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central
        </labl>
        <catStat type="freq">
          487866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State
        </labl>
        <catStat type="freq">
          490185
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V29" name="Sample" files="F2" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V30" name="Sector" files="F2" intrvl="discrete">
      <location StartPos="19" EndPos="19" width="1" RecSegNo="1"/>
      <labl>
        Sector "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sector "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/ block is classified as Rural or Urban.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          598611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          379440
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V31" name="Stratum" files="F2" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each state two basic strata will be formed: (i) rural stratum comprising of all rural areas of the state and (ii) urban stratum comprising of all the urban areas of the state.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V32" name="S_Round" files="F2" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Sub - round
      </labl>
      <qstn>
        <qstnLit>
          Sub - round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub Round 1
        </labl>
        <catStat type="freq">
          234403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub Round 2
        </labl>
        <catStat type="freq">
          247599
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub Round 3
        </labl>
        <catStat type="freq">
          245096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub Round 4
        </labl>
        <catStat type="freq">
          250953
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V33" name="FSU_Srl_No" files="F2" intrvl="discrete">
      <location StartPos="23" EndPos="27" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector.  However, for some of the newly declared towns  of 1991 census for which UFS frame  has not been received, the  1991 census enumeration blocks are the first-stage units.This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V34" name="Second_Stratum" files="F2" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum "1''or "2"
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V35" name="HH_No" files="F2" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V36" name="Level" files="F2" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          06
        </catValu>
        <catStat type="freq">
          978051
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V37" name="Month_Yr_Code" files="F2" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Month / Year Code
      </labl>
      <qstn>
        <qstnLit>
          Month / Year Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month
        </labl>
        <catStat type="freq">
          177203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Year
        </labl>
        <catStat type="freq">
          800848
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V38" name="B6_q1" files="F2" intrvl="discrete">
      <location StartPos="34" EndPos="36" width="3" RecSegNo="1"/>
      <labl>
        Clothing Item Code
      </labl>
      <qstn>
        <qstnLit>
          Clothing Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[A three-digit code system for identification of each item of consumer expenditure has been used. The digit in the hundreds place  indicates broad division of items; the  hundred and tens places together specify groups of items and all the three digits together indicate a particular item.  Item code ending with '8' represents 'others', that is, any item belonging to the particular group but not listed sepa­rately.  Similarly, a code with '9' in the unit place is a sub-total item.

Apart from clothing proper, this category includes bedsheets, bedcovers, pillows, curtains, mattresses, blankets, rugs, mats and mattings, cotton yarn, wool, and knitting wool. It, however, excludes tailoring charges, which come under "miscellaneous goods and services".]]></txt>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          Dhoti (m)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          Sari (m)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          Cloth for shirt, pyjama, salwar etc. (m)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          Cloth for coat, trousers, overcoat etc.(m)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Chaddar, dupatta, wrapper, shawl etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          Lungi (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          486
        </catValu>
        <labl>
          Gamchha, towel, handkerchief etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          487
        </catValu>
        <labl>
          Hosiery articles, stockings, undergarments etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          Ready made garments (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          Headwear (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Knitted garments, sweater, pullover, cardigan, muffler, scarf etc. (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          Bed sheet, bed cover (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          Rug-blanket (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          495
        </catValu>
        <labl>
          Pillow, quilt, matterss (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          Cloth for upholstry, curtain, cloth etc. (m)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          497
        </catValu>
        <labl>
          Mosquito net (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Mats and mattings (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Cotton, cotton yarn (gm.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Knitting wool (gm.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Clothing – others.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          509
        </catValu>
        <labl>
          Clothing :s.t. (480—508)
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V39" name="B6_q3" files="F2" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Cloth Type Code
      </labl>
      <qstn>
        <qstnLit>
          Cloth Type Code
        </qstnLit>
        <ivuInstr><![CDATA[Type code :  In this column, the type code will be entered for the item recorded in column (2).  A 'type code' will specify the material e.g. cotton, wool, silk etc. of which the item of clothing is made.  If an item is made of cotton, a further distinction will be made between mill-made, power-loom, hand-loom, and khadi production.  The type codes are :

      type of clothing       code               type of clothing                   code 
                        
cotton :                                                silk and synthetic :
mill made .......................1                   art silk, rayon or other
power loom ...................2                   other synthetic  
handloom ......................3                    textile ..................................6     
khadi .............................4                    pure silk ..............................7   
wool  .............................5                    mixed :
                                                            wool/synthetic/cotton/silk ....8
                                                            others : ................................9

It may be noted that if items of clothing of different' type's' are purchased and/or consumed it will be necessary to fill in one line for each item and 'type' combination.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          88099
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Mill made
        </labl>
        <catStat type="freq">
          278411
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Powerloom
        </labl>
        <catStat type="freq">
          81875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Handloom
        </labl>
        <catStat type="freq">
          61686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Khadi
        </labl>
        <catStat type="freq">
          4093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Wool
        </labl>
        <catStat type="freq">
          19195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Art silk, Rayon or other synthetic textile
        </labl>
        <catStat type="freq">
          151145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Pure silk
        </labl>
        <catStat type="freq">
          1544
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Mixed: wool/synthetic/ cootton/silk
        </labl>
        <catStat type="freq">
          94961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          197042
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V40" name="B6_q4" files="F2" dcml="2" intrvl="contin">
      <location StartPos="38" EndPos="45" width="8" RecSegNo="1"/>
      <labl>
        Cash Purchase - Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the clothing item was purchased by the household in cash in both the last 30 days and the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="28000"/>
      </valrng>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        28000
      </sumStat>
      <sumStat type="mean">
        11.194
      </sumStat>
      <sumStat type="stdev">
        143.031
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V41" name="B6_q5" files="F2" dcml="2" intrvl="contin">
      <location StartPos="46" EndPos="53" width="8" RecSegNo="1"/>
      <labl>
        Cash Purchase - Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household in cash on the purchase of the clothing item in both the last 30 days and the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="62950"/>
      </valrng>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        62950
      </sumStat>
      <sumStat type="mean">
        420.416
      </sumStat>
      <sumStat type="stdev">
        832.461
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V42" name="B6_q6" files="F2" dcml="2" intrvl="contin">
      <location StartPos="54" EndPos="61" width="8" RecSegNo="1"/>
      <labl>
        Consumption out of home grown stock - Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the clothing item was consumed by the household out of the home grown stock in both the last 30 days and the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="14000"/>
      </valrng>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        14000
      </sumStat>
      <sumStat type="mean">
        0.0478
      </sumStat>
      <sumStat type="stdev">
        17.467
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="B6_q7" files="F2" dcml="2" intrvl="contin">
      <location StartPos="62" EndPos="68" width="7" RecSegNo="1"/>
      <labl>
        Consumption out of home grown stock - Value
      </labl>
      <qstn>
        <qstnLit>
          How much of home grown clothing item was consumed by the household in both the last 30 days and the last 365 days in terms of monetary value?
        </qstnLit>
        <ivuInstr><![CDATA[Consumption of an item of clothing is defined as taking place when the item is brought in maiden or first use.  Out of the home-produced stock accordingly, only those items which were brought into first use during the reference period will be taken into account for recording the quantity and value of consumption out of home-produced stock.  For example, if a household weaves two pieces of cloth and puts into use only one piece in the reference period keeping the other for future, the quantity and value of one piece only will be entered in columns (6) and (7) respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="4520"/>
      </valrng>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4520
      </sumStat>
      <sumStat type="mean">
        0.823
      </sumStat>
      <sumStat type="stdev">
        23.557
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V44" name="B6_q8" files="F2" dcml="2" intrvl="contin">
      <location StartPos="69" EndPos="76" width="8" RecSegNo="1"/>
      <labl>
        Total consumption - Quantity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="30000"/>
      </valrng>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30000
      </sumStat>
      <sumStat type="mean">
        10.8
      </sumStat>
      <sumStat type="stdev">
        139.805
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V45" name="B6_q9" files="F2" dcml="2" intrvl="contin">
      <location StartPos="77" EndPos="84" width="8" RecSegNo="1"/>
      <labl>
        Total consumption - Value
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="38550"/>
      </valrng>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        38550
      </sumStat>
      <sumStat type="mean">
        417.509
      </sumStat>
      <sumStat type="stdev">
        798.108
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V46" name="Wgt_SubSample" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="85" EndPos="92" width="8" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="53557.09"/>
      </valrng>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        53557.09
      </sumStat>
      <sumStat type="mean">
        2769.457
      </sumStat>
      <sumStat type="stdev">
        2265.677
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V47" name="Wgt_Combined" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="93" EndPos="100" width="8" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="26778.55"/>
      </valrng>
      <sumStat type="vald">
        978051
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        26778.55
      </sumStat>
      <sumStat type="mean">
        1408.688
      </sumStat>
      <sumStat type="stdev">
        1158.81
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V72" name="HHID" files="F3" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V50" name="Rd_Sch" files="F3" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Indicates the NSS  round number and schedule number of this survey.]]></txt>
      <catgry>
        <catValu>
          501
        </catValu>
        <catStat type="freq">
          328048
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V51" name="St_Region" files="F3" intrvl="discrete">
      <location StartPos="12" EndPos="14" width="3" RecSegNo="1"/>
      <labl>
        State - Region
      </labl>
      <qstn>
        <qstnLit>
          State - Region
        </qstnLit>
        <ivuInstr>
          State and NSS region to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V73" name="State" files="F3" intrvl="discrete">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
        <ivuInstr>
          State to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal.
      </txt>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh             ]]></labl>
        <catStat type="freq">
          21304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh        ]]></labl>
        <catStat type="freq">
          3181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          11060
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Bihar    ]]></labl>
        <catStat type="freq">
          22600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Goa                      ]]></labl>
        <catStat type="freq">
          973
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                          ]]></labl>
        <catStat type="freq">
          14550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          6729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh        ]]></labl>
        <catStat type="freq">
          6957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir      ]]></labl>
        <catStat type="freq">
          4775
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          12834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          10714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh          ]]></labl>
        <catStat type="freq">
          24513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          28586
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          5537
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          4897
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          5365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          2570
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          9915
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          15465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          16610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          2366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          18368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          5256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          41965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          21259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          2812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli    ]]></labl>
        <catStat type="freq">
          782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Daman & Diu               ]]></labl>
        <catStat type="freq">
          475
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          3154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          947
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State - Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V52" name="S_Sample" files="F3" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/block is central sample or state sample
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central
        </labl>
        <catStat type="freq">
          163987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State
        </labl>
        <catStat type="freq">
          164061
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V53" name="Sample" files="F3" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V54" name="Sector" files="F3" intrvl="discrete">
      <location StartPos="19" EndPos="19" width="1" RecSegNo="1"/>
      <labl>
        Sector "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sector "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/ block is classified as Rural or Urban.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          188551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          139497
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V55" name="Stratum" files="F3" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each state two basic strata will be formed: (i) rural stratum comprising of all rural areas of the state and (ii) urban stratum comprising of all the urban areas of the state.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V56" name="S_Round" files="F3" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Sub - round
      </labl>
      <qstn>
        <qstnLit>
          Sub - round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub Round 1
        </labl>
        <catStat type="freq">
          79911
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub Round 2
        </labl>
        <catStat type="freq">
          81112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub Round 3
        </labl>
        <catStat type="freq">
          81942
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub Round 4
        </labl>
        <catStat type="freq">
          85083
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V57" name="FSU_Srl_No" files="F3" intrvl="discrete">
      <location StartPos="23" EndPos="27" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector.  However, for some of the newly declared towns  of 1991 census for which UFS frame  has not been received, the  1991 census enumeration blocks are the first-stage units.This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V58" name="Second_Stratum" files="F3" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum "1''or "2"
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V59" name="HH_No" files="F3" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V60" name="Level" files="F3" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          07
        </catValu>
        <catStat type="freq">
          328048
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V61" name="Month_Yr_Code" files="F3" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Month / Year Code
      </labl>
      <qstn>
        <qstnLit>
          Month / Year Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month
        </labl>
        <catStat type="freq">
          118922
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Year
        </labl>
        <catStat type="freq">
          209126
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V62" name="B7_q1" files="F3" intrvl="discrete">
      <location StartPos="34" EndPos="36" width="3" RecSegNo="1"/>
      <labl>
        Footwear Item Code
      </labl>
      <qstn>
        <qstnLit>
          Footwear Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[A three-digit code system for identification of each item of consumer expenditure has been used. The digit in the hundreds place  indicates broad division of items; the  hundred and tens places together specify groups of items and all the three digits together indicate a particular item.  Item code ending with '8' represents 'others', that is, any item belonging to the particular group but not listed sepa­rately.  Similarly, a code with '9' in the unit place is a sub-total item.]]></txt>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          104509
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          leather boots, shoes (pair)
        </labl>
        <catStat type="freq">
          33289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          leather sandals, cha'ppals, etc.(pair)
        </labl>
        <catStat type="freq">
          49901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          other leather footwear (pair)
        </labl>
        <catStat type="freq">
          14917
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          rubber/PVC footwear (pair)
        </labl>
        <catStat type="freq">
          91637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          518
        </catValu>
        <labl>
          other footwear (pair)
        </labl>
        <catStat type="freq">
          33795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          footwear (pair) : s.t. (510—518)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V64" name="B7_q3" files="F3" dcml="2" intrvl="contin">
      <location StartPos="37" EndPos="42" width="6" RecSegNo="1"/>
      <labl><![CDATA[Cash Purchase -  No. of pairs]]></labl>
      <qstn>
        <qstnLit>
          How many pairs of the footwear item was purchased by the household in cash in both the last 30 days and the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="800"/>
      </valrng>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        800
      </sumStat>
      <sumStat type="mean">
        1.803
      </sumStat>
      <sumStat type="stdev">
        3.006
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V65" name="B7_q4" files="F3" dcml="2" intrvl="contin">
      <location StartPos="43" EndPos="49" width="7" RecSegNo="1"/>
      <labl>
        Cash Purchase - Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household in cash on the purchase of the footwear item in both the last 30 days and the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8050"/>
      </valrng>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8050
      </sumStat>
      <sumStat type="mean">
        104.867
      </sumStat>
      <sumStat type="stdev">
        164.909
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="B7_q5" files="F3" dcml="2" intrvl="contin">
      <location StartPos="50" EndPos="53" width="4" RecSegNo="1"/>
      <labl>
        Consumption out of home grown stock - No. of pairs
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the footwear item was consumed by the household out of the home grown stock in both the last 30 days and the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8
      </sumStat>
      <sumStat type="mean">
        0.000668
      </sumStat>
      <sumStat type="stdev">
        0.0478
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V67" name="B7_q6" files="F3" dcml="2" intrvl="contin">
      <location StartPos="54" EndPos="59" width="6" RecSegNo="1"/>
      <labl>
        Consumption out of home grown stock - Value
      </labl>
      <qstn>
        <qstnLit>
          How much of home grown footwear item was consumed by the household in both the last 30 days and the last 365 days in terms of monetary value?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="800"/>
      </valrng>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        800
      </sumStat>
      <sumStat type="mean">
        0.0372
      </sumStat>
      <sumStat type="stdev">
        3.209
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V68" name="B7_q7" files="F3" dcml="2" intrvl="contin">
      <location StartPos="60" EndPos="65" width="6" RecSegNo="1"/>
      <labl>
        Total consumption - No. of pairs
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="300"/>
      </valrng>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        300
      </sumStat>
      <sumStat type="mean">
        1.802
      </sumStat>
      <sumStat type="stdev">
        2.298
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V69" name="B7_q8" files="F3" dcml="2" intrvl="contin">
      <location StartPos="66" EndPos="72" width="7" RecSegNo="1"/>
      <labl>
        Total consumption - Value
      </labl>
      <qstn>
        <ivuInstr><![CDATA[In these two blocks information will be collected on quantity and value of cash purchase, consumption out of home-produced stock and total consumption of various items of foot wear.  Information relating to the 30 days preceding the date of enquiry will be recorded in block 7.1 and that relating to the preceding 365 days will be recorded in block 7.2.  While filling in these blocks on purchase and consumption of footwear, the general instructions given for filing in the blocks on clothing will be followed.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8050"/>
      </valrng>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8050
      </sumStat>
      <sumStat type="mean">
        105.122
      </sumStat>
      <sumStat type="stdev">
        164.726
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V70" name="Wgt_SubSample" wgt="wgt" files="F3" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="80" width="8" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="53557.09"/>
      </valrng>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        53557.09
      </sumStat>
      <sumStat type="mean">
        2624.061
      </sumStat>
      <sumStat type="stdev">
        2257.445
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V71" name="Wgt_Combined" wgt="wgt" files="F3" dcml="2" intrvl="contin">
      <location StartPos="81" EndPos="88" width="8" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="26778.55"/>
      </valrng>
      <sumStat type="vald">
        328048
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        26778.55
      </sumStat>
      <sumStat type="mean">
        1337.749
      </sumStat>
      <sumStat type="stdev">
        1157.182
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V114" name="HHID" files="F5" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V96" name="Rd_Sch" files="F5" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Indicates the NSS  round number and schedule number of this survey.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V97" name="St_Region" files="F5" intrvl="discrete">
      <location StartPos="12" EndPos="14" width="3" RecSegNo="1"/>
      <labl>
        State - Region
      </labl>
      <qstn>
        <qstnLit>
          State - Region
        </qstnLit>
        <ivuInstr>
          State and NSS region to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V115" name="State" files="F5" intrvl="discrete">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
        <ivuInstr>
          State to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal.
      </txt>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh             ]]></labl>
        <catStat type="freq">
          142452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh        ]]></labl>
        <catStat type="freq">
          8443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          63573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Bihar    ]]></labl>
        <catStat type="freq">
          126104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Goa                      ]]></labl>
        <catStat type="freq">
          7063
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                          ]]></labl>
        <catStat type="freq">
          84168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          28220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh        ]]></labl>
        <catStat type="freq">
          37183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir      ]]></labl>
        <catStat type="freq">
          22638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          96445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          78545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh          ]]></labl>
        <catStat type="freq">
          135571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          186393
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          23368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          22605
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          19151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          11627
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          56632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          67602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          76014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          9566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          149673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          30415
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          216220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          134611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          17529
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          4415
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli    ]]></labl>
        <catStat type="freq">
          5421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Daman & Diu               ]]></labl>
        <catStat type="freq">
          3179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          20488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          4308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          7033
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State - Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V98" name="S_Sample" files="F5" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/block is central sample or state sample
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central
        </labl>
        <catStat type="freq">
          947570
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State
        </labl>
        <catStat type="freq">
          949086
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V99" name="Sample" files="F5" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V100" name="Sector" files="F5" intrvl="discrete">
      <location StartPos="19" EndPos="19" width="1" RecSegNo="1"/>
      <labl>
        Sector "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sector "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/ block is classified as Rural or Urban.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          1035422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          861234
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V101" name="Stratum" files="F5" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each state two basic strata will be formed: (i) rural stratum comprising of all rural areas of the state and (ii) urban stratum comprising of all the urban areas of the state.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V102" name="S_Round" files="F5" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Sub - round
      </labl>
      <qstn>
        <qstnLit>
          Sub - round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub Round 1
        </labl>
        <catStat type="freq">
          463833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub Round 2
        </labl>
        <catStat type="freq">
          475298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub Round 3
        </labl>
        <catStat type="freq">
          473308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub Round 4
        </labl>
        <catStat type="freq">
          484217
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V103" name="FSU_Srl_No" files="F5" intrvl="discrete">
      <location StartPos="23" EndPos="27" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector.  However, for some of the newly declared towns  of 1991 census for which UFS frame  has not been received, the  1991 census enumeration blocks are the first-stage units.This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V104" name="Second_Stratum" files="F5" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum "1''or "2"
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V105" name="HH_No" files="F5" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V106" name="Level" files="F5" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          08
        </catValu>
        <catStat type="freq">
          1896656
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V108" name="B8_q1" files="F5" intrvl="discrete">
      <location StartPos="33" EndPos="35" width="3" RecSegNo="1"/>
      <labl>
        Block 8 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 8 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[A three-digit code system for identification of each item of consumer expenditure has been used. The digit in the hundreds place  indicates broad division of items; the  hundred and tens places together specify groups of items and all the three digits together indicate a particular item.  Item code ending with '8' represents 'others', that is, any item belonging to the particular group but not listed sepa­rately.  Similarly, a code with '9' in the unit place is a sub-total item.]]></txt>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          cinema, theatre
        </labl>
        <catStat type="freq">
          23900
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          mela, fair picnic
        </labl>
        <catStat type="freq">
          1665
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          sports goods, toys etc.
        </labl>
        <catStat type="freq">
          3529
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          club fees
        </labl>
        <catStat type="freq">
          792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          goods for recreation and hobbies
        </labl>
        <catStat type="freq">
          723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          photography
        </labl>
        <catStat type="freq">
          1461
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          other amusement
        </labl>
        <catStat type="freq">
          4405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          amusement : s.t. (520—528)
        </labl>
        <catStat type="freq">
          31921
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          spectacles
        </labl>
        <catStat type="freq">
          447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          torch light
        </labl>
        <catStat type="freq">
          1788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          fountain pen
        </labl>
        <catStat type="freq">
          4275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          lock
        </labl>
        <catStat type="freq">
          1205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          umbrella, raincoat
        </labl>
        <catStat type="freq">
          1439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          walking stick etc.
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          536
        </catValu>
        <labl>
          lighter (bidi/cigarettes/gas stove)
        </labl>
        <catStat type="freq">
          201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          537
        </catValu>
        <labl>
          sanitary napkin
        </labl>
        <catStat type="freq">
          2137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          538
        </catValu>
        <labl>
          other goods for personal care and effect
        </labl>
        <catStat type="freq">
          8432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          goods for personal care and effect : s.t. (530—538)
        </labl>
        <catStat type="freq">
          16923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          toilet soap
        </labl>
        <catStat type="freq">
          104104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          toothbrush, tooth paste/tooth powder
        </labl>
        <catStat type="freq">
          65107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          542
        </catValu>
        <labl>
          powder, snow, cream
        </labl>
        <catStat type="freq">
          31020
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          543
        </catValu>
        <labl>
          hair oil, lotion, shampoo, hair cream
        </labl>
        <catStat type="freq">
          97564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          544
        </catValu>
        <labl>
          comb
        </labl>
        <catStat type="freq">
          5036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          545
        </catValu>
        <labl>
          shaving blades, shaving slick
        </labl>
        <catStat type="freq">
          47995
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          546
        </catValu>
        <labl>
          shaving-cream
        </labl>
        <catStat type="freq">
          8239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          547
        </catValu>
        <labl>
          other shaving requisites
        </labl>
        <catStat type="freq">
          3920
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          other toilet articles
        </labl>
        <catStat type="freq">
          20981
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          549
        </catValu>
        <labl>
          toilet articles : s.t. (540—548)
        </labl>
        <catStat type="freq">
          112356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          electric bulb, tube light
        </labl>
        <catStat type="freq">
          12298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          electric batteries
        </labl>
        <catStat type="freq">
          3280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          other non-durable electric goods
        </labl>
        <catStat type="freq">
          348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          earthenware
        </labl>
        <catStat type="freq">
          6367
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          glassware
        </labl>
        <catStat type="freq">
          1498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          555
        </catValu>
        <labl>
          plastic goods
        </labl>
        <catStat type="freq">
          3306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          556
        </catValu>
        <labl>
          coir, rope, etc.
        </labl>
        <catStat type="freq">
          1866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          557
        </catValu>
        <labl>
          washing soap
        </labl>
        <catStat type="freq">
          104757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          washing soda
        </labl>
        <catStat type="freq">
          32576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          other washing requisites
        </labl>
        <catStat type="freq">
          49018
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          agarbati
        </labl>
        <catStat type="freq">
          62472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl><![CDATA[flower (fresh) :  all purposes]]></labl>
        <catStat type="freq">
          14837
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          564
        </catValu>
        <labl>
          insecticide and related products
        </labl>
        <catStat type="freq">
          1923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          568
        </catValu>
        <labl>
          other petty articles
        </labl>
        <catStat type="freq">
          35318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          569
        </catValu>
        <labl>
          sundry articles : s.t. (550—568)
        </labl>
        <catStat type="freq">
          113411
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          579
        </catValu>
        <labl>
          misc. consumer goods ;s.t. (529+ 539 +'549 + 569)
        </labl>
        <catStat type="freq">
          114434
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          domestic servant/cook
        </labl>
        <catStat type="freq">
          5588
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          sweeper
        </labl>
        <catStat type="freq">
          6033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          barber, beautician etc.
        </labl>
        <catStat type="freq">
          71674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          washerman, launderer
        </labl>
        <catStat type="freq">
          14762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          584
        </catValu>
        <labl>
          tailor
        </labl>
        <catStat type="freq">
          10497
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          585
        </catValu>
        <labl>
          priest
        </labl>
        <catStat type="freq">
          6611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          legal expenses
        </labl>
        <catStat type="freq">
          613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          587
        </catValu>
        <labl>
          postage &amp; telegram
        </labl>
        <catStat type="freq">
          24826
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          590
        </catValu>
        <labl>
          telephone charges
        </labl>
        <catStat type="freq">
          4088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          repair charges
        </labl>
        <catStat type="freq">
          4932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          miscellaneous expenses
        </labl>
        <catStat type="freq">
          20913
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          593
        </catValu>
        <labl>
          pet animals
        </labl>
        <catStat type="freq">
          3069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          other consumer services
        </labl>
        <catStat type="freq">
          64871
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          599
        </catValu>
        <labl>
          consumer services :s.t.(580—598)
        </labl>
        <catStat type="freq">
          103133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          airways fare
        </labl>
        <catStat type="freq">
          172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          railway fare
        </labl>
        <catStat type="freq">
          5650
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          bus fare
        </labl>
        <catStat type="freq">
          61483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          taxi. auto-rickshaw fare
        </labl>
        <catStat type="freq">
          11051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          steamer, boat fare
        </labl>
        <catStat type="freq">
          777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          605
        </catValu>
        <labl>
          rickshaw (hand drawn &amp; cycle fare)
        </labl>
        <catStat type="freq">
          6800
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          606
        </catValu>
        <labl>
          bullock cart fare
        </labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          607
        </catValu>
        <labl>
          horse cart fare
        </labl>
        <catStat type="freq">
          1014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          hand operated cart fare
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          porter charges
        </labl>
        <catStat type="freq">
          390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          petrol
        </labl>
        <catStat type="freq">
          9855
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          diesel
        </labl>
        <catStat type="freq">
          449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          lubricating oil
        </labl>
        <catStat type="freq">
          3822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          other imputed value of owned conveyance
        </labl>
        <catStat type="freq">
          930
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          school bus/van fare
        </labl>
        <catStat type="freq">
          1169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          618
        </catValu>
        <labl>
          other hired conveyance
        </labl>
        <catStat type="freq">
          766
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          conveyance : s.t. (600—618)
        </labl>
        <catStat type="freq">
          72208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          629
        </catValu>
        <labl>
          misc. consumer services : s.t. (599 + 619)
        </labl>
        <catStat type="freq">
          108211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          house rent, garage rent
        </labl>
        <catStat type="freq">
          17045
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          residential land rent
        </labl>
        <catStat type="freq">
          2391
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          consumer rent (other goods)
        </labl>
        <catStat type="freq">
          1385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl>
          rent : s.t. (630—632)
        </labl>
        <catStat type="freq">
          20357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          consumer taxes and cesses
        </labl>
        <catStat type="freq">
          17553
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          water charges
        </labl>
        <catStat type="freq">
          13326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          648
        </catValu>
        <labl>
          other taxes etc.
        </labl>
        <catStat type="freq">
          6882
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          consumer taxes and cesses : s.t. (640—648)
        </labl>
        <catStat type="freq">
          31210
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V110" name="B8_q3" files="F5" dcml="2" intrvl="contin">
      <location StartPos="36" EndPos="44" width="9" RecSegNo="1"/>
      <labl><![CDATA[Cash  (0.00)]]></labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household in cash on the purchase of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="250035"/>
      </valrng>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        250035
      </sumStat>
      <sumStat type="mean">
        48.049
      </sumStat>
      <sumStat type="stdev">
        480.015
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V111" name="B8_q4" files="F5" dcml="2" intrvl="contin">
      <location StartPos="45" EndPos="53" width="9" RecSegNo="1"/>
      <labl>
        Cash &amp; Kind (0.00)
      </labl>
      <qstn>
        <qstnLit>
          How much was spent by the household in cash and kind on the purchase of the item in the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[In this block, relating to miscellaneous goods and services excepting educational and medi­cal expenses, information will be collected on expenditure for purchase of these items during the reference period.  The actual expenditure incurred towards purchase of these items for non-productive purposes will be considered as the consumer expendi­ture of the household on theses items.  But for items like club fees, telephone charges, rent, taxes & cesses, ,water charges etc. for which payment is normally not made every month, the amount of last payment made divided by the number of months for which the payment was made will be taken into account.  Expenditure both in cash and in kind will be taken into account.  The reference period will be the last 30 days prior to the date of survey.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="250035"/>
      </valrng>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        250035
      </sumStat>
      <sumStat type="mean">
        48.401
      </sumStat>
      <sumStat type="stdev">
        480.221
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V112" name="Wgt_SubSample" wgt="wgt" files="F5" dcml="2" intrvl="contin">
      <location StartPos="54" EndPos="61" width="8" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="53557.09"/>
      </valrng>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        53557.09
      </sumStat>
      <sumStat type="mean">
        2646.236
      </sumStat>
      <sumStat type="stdev">
        2252.638
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V113" name="Wgt_Combined" wgt="wgt" files="F5" dcml="2" intrvl="contin">
      <location StartPos="62" EndPos="69" width="8" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="26778.55"/>
      </valrng>
      <sumStat type="vald">
        1896656
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        26778.55
      </sumStat>
      <sumStat type="mean">
        1347.034
      </sumStat>
      <sumStat type="stdev">
        1152.278
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V94" name="HHID" files="F4" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V74" name="Rd_Sch" files="F4" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Indicates the NSS  round number and schedule number of this survey.]]></txt>
      <catgry>
        <catValu>
          501
        </catValu>
        <catStat type="freq">
          472554
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V75" name="St_Region" files="F4" intrvl="discrete">
      <location StartPos="12" EndPos="14" width="3" RecSegNo="1"/>
      <labl>
        State - Region
      </labl>
      <qstn>
        <qstnLit>
          State - Region
        </qstnLit>
        <ivuInstr>
          State and NSS region to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V95" name="State" files="F4" intrvl="discrete">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
        <ivuInstr>
          State to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal.
      </txt>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh             ]]></labl>
        <catStat type="freq">
          33497
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh        ]]></labl>
        <catStat type="freq">
          2555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          17001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Bihar    ]]></labl>
        <catStat type="freq">
          30745
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Goa                      ]]></labl>
        <catStat type="freq">
          1410
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                          ]]></labl>
        <catStat type="freq">
          18762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          8146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh        ]]></labl>
        <catStat type="freq">
          9943
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir      ]]></labl>
        <catStat type="freq">
          6359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          22791
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          22419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh          ]]></labl>
        <catStat type="freq">
          32611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          45261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          7455
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          5544
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          7032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          3533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          15754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          18980
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          18074
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          1877
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          30609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          9092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          55545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          34729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          3420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          943
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli    ]]></labl>
        <catStat type="freq">
          872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Daman & Diu               ]]></labl>
        <catStat type="freq">
          539
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          4815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          1617
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State - Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V76" name="S_Sample" files="F4" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/block is central sample or state sample
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central
        </labl>
        <catStat type="freq">
          235719
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State
        </labl>
        <catStat type="freq">
          236835
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V77" name="Sample" files="F4" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V78" name="Sector" files="F4" intrvl="discrete">
      <location StartPos="19" EndPos="19" width="1" RecSegNo="1"/>
      <labl>
        Sector "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sector "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/ block is classified as Rural or Urban.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          265618
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          206936
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V79" name="Stratum" files="F4" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each state two basic strata will be formed: (i) rural stratum comprising of all rural areas of the state and (ii) urban stratum comprising of all the urban areas of the state.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V80" name="S_Round" files="F4" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Sub - round
      </labl>
      <qstn>
        <qstnLit>
          Sub - round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub Round 1
        </labl>
        <catStat type="freq">
          117190
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub Round 2
        </labl>
        <catStat type="freq">
          119374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub Round 3
        </labl>
        <catStat type="freq">
          117719
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub Round 4
        </labl>
        <catStat type="freq">
          118271
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V81" name="FSU_Srl_No" files="F4" intrvl="discrete">
      <location StartPos="23" EndPos="27" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector.  However, for some of the newly declared towns  of 1991 census for which UFS frame  has not been received, the  1991 census enumeration blocks are the first-stage units.This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V82" name="Second_Stratum" files="F4" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum "1''or "2"
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V83" name="HH_No" files="F4" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V84" name="Level" files="F4" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          09
        </catValu>
        <catStat type="freq">
          472554
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V86" name="B8_1_q1" files="F4" intrvl="discrete">
      <location StartPos="33" EndPos="35" width="3" RecSegNo="1"/>
      <labl>
        Block 8.1 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 8.1 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[A three-digit code system for identification of each item of consumer expenditure has been used. The digit in the hundreds place  indicates broad division of items; the  hundred and tens places together specify groups of items and all the three digits together indicate a particular item.  Item code ending with '8' represents 'others', that is, any item belonging to the particular group but not listed sepa­rately.  Similarly, a code with '9' in the unit place is a sub-total item.]]></txt>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          21309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          books, journals
        </labl>
        <catStat type="freq">
          54237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          newspapers, periodicals
        </labl>
        <catStat type="freq">
          13381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          library charges
        </labl>
        <catStat type="freq">
          2602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          653
        </catValu>
        <labl>
          stationary articles
        </labl>
        <catStat type="freq">
          54529
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          654
        </catValu>
        <labl>
          tuition fees (school/college)
        </labl>
        <catStat type="freq">
          29912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          655
        </catValu>
        <labl>
          private tutor
        </labl>
        <catStat type="freq">
          9516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          658
        </catValu>
        <labl>
          other educational expenses
        </labl>
        <catStat type="freq">
          34251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          education :s.t. (650-658)
        </labl>
        <catStat type="freq">
          68339
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          medicine (non-institutional medical exp)
        </labl>
        <catStat type="freq">
          60004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          661
        </catValu>
        <labl>
          family planning appliances (non-institutional medical exp)
        </labl>
        <catStat type="freq">
          557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          X-Ray/ECG, pathological test etc. (non-institutional medical exp)
        </labl>
        <catStat type="freq">
          1133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          doctor,s fees (non-institutional medical exp)
        </labl>
        <catStat type="freq">
          21158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          664
        </catValu>
        <labl>
          nurse/midwife (non-institutional medical exp)
        </labl>
        <catStat type="freq">
          362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          668
        </catValu>
        <labl>
          other medical expenses (non-institutional medical exp)
        </labl>
        <catStat type="freq">
          2281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          669
        </catValu>
        <labl>
          Total non-institutional medical exp :s.t. (660—668)
        </labl>
        <catStat type="freq">
          61336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          medicine (institutional medical exp)
        </labl>
        <catStat type="freq">
          11103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          671
        </catValu>
        <labl>
          x-ray, ECG, pathological test etc. (institutional medical exp)
        </labl>
        <catStat type="freq">
          2017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          672
        </catValu>
        <labl>
          doctor's/surgeon's fee (institutional medical exp)
        </labl>
        <catStat type="freq">
          5003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          673
        </catValu>
        <labl>
          nurse/midwife (institutional medical exp)
        </labl>
        <catStat type="freq">
          735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          674
        </catValu>
        <labl>
          hospital charges (institutional medical exp)
        </labl>
        <catStat type="freq">
          2534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          675
        </catValu>
        <labl>
          nursing home/polyclinic charges (institutional medical exp)
        </labl>
        <catStat type="freq">
          537
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          678
        </catValu>
        <labl>
          other medical expenses (institutional medical exp)
        </labl>
        <catStat type="freq">
          3686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          679
        </catValu>
        <labl>
          Total institutional medical exp : s.t. (670-678)
        </labl>
        <catStat type="freq">
          12032
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V88" name="B8_1_q3" files="F4" dcml="2" intrvl="contin">
      <location StartPos="36" EndPos="44" width="9" RecSegNo="1"/>
      <labl>
        Cash Purchase - Quantity (0.00)- in the last 30 days
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household in cash on the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="400104"/>
      </valrng>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        400104
      </sumStat>
      <sumStat type="mean">
        67.997
      </sumStat>
      <sumStat type="stdev">
        851.793
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V89" name="B8_1_q4" files="F4" dcml="2" intrvl="contin">
      <location StartPos="45" EndPos="53" width="9" RecSegNo="1"/>
      <labl>
        Cash Purchase - Value (0.00)- in the last 30 days
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household in cash and kind on the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="400104"/>
      </valrng>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        400104
      </sumStat>
      <sumStat type="mean">
        68.368
      </sumStat>
      <sumStat type="stdev">
        852.208
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V90" name="B8_1_q5" files="F4" dcml="2" intrvl="contin">
      <location StartPos="54" EndPos="62" width="9" RecSegNo="1"/>
      <labl>
        Cash Purchase - Quantity (0.00)- in the last 365 days
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household in cash on the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="689100"/>
      </valrng>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        689100
      </sumStat>
      <sumStat type="mean">
        389.779
      </sumStat>
      <sumStat type="stdev">
        2495.191
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V91" name="B8_1_q6" files="F4" dcml="2" intrvl="contin">
      <location StartPos="63" EndPos="71" width="9" RecSegNo="1"/>
      <labl>
        Cash Purchase - Value (0.00)- in the last 365 days
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household in cash and kind on the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="689113"/>
      </valrng>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        689113
      </sumStat>
      <sumStat type="mean">
        386.746
      </sumStat>
      <sumStat type="stdev">
        1766.908
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V92" name="Wgt_SubSample" wgt="wgt" files="F4" dcml="2" intrvl="contin">
      <location StartPos="72" EndPos="79" width="8" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="53557.09"/>
      </valrng>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        53557.09
      </sumStat>
      <sumStat type="mean">
        2610.852
      </sumStat>
      <sumStat type="stdev">
        2220.135
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V93" name="Wgt_Combined" wgt="wgt" files="F4" dcml="2" intrvl="contin">
      <location StartPos="80" EndPos="87" width="8" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="26778.55"/>
      </valrng>
      <sumStat type="vald">
        472554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        26778.55
      </sumStat>
      <sumStat type="mean">
        1329.17
      </sumStat>
      <sumStat type="stdev">
        1139.046
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V144" name="HHID" files="F6" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V116" name="Rd_Sch" files="F6" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Indicates the NSS  round number and schedule number of this survey.]]></txt>
      <catgry>
        <catValu>
          501
        </catValu>
        <catStat type="freq">
          1138392
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V117" name="St_Region" files="F6" intrvl="discrete">
      <location StartPos="12" EndPos="14" width="3" RecSegNo="1"/>
      <labl>
        State - Region
      </labl>
      <qstn>
        <qstnLit>
          State - Region
        </qstnLit>
        <ivuInstr>
          State and NSS region to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V145" name="State" files="F6" intrvl="discrete">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
        <ivuInstr>
          State to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal.
      </txt>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh             ]]></labl>
        <catStat type="freq">
          78760
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh        ]]></labl>
        <catStat type="freq">
          4698
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          62210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Bihar    ]]></labl>
        <catStat type="freq">
          52506
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Goa                      ]]></labl>
        <catStat type="freq">
          4406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                          ]]></labl>
        <catStat type="freq">
          60786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          26395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh        ]]></labl>
        <catStat type="freq">
          26868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir      ]]></labl>
        <catStat type="freq">
          18836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          49408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          48610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh          ]]></labl>
        <catStat type="freq">
          105136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          121883
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          10462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          16685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          7997
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          4205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          26853
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          71456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          26406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          3488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          42386
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          24121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          115279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          84923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          12448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          3475
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli    ]]></labl>
        <catStat type="freq">
          3974
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Daman & Diu               ]]></labl>
        <catStat type="freq">
          2554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          13972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          4128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          3078
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State - Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V118" name="S_Sample" files="F6" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/block is central sample or state sample
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central
        </labl>
        <catStat type="freq">
          588305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State
        </labl>
        <catStat type="freq">
          550087
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V119" name="Sample" files="F6" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V120" name="Sector" files="F6" intrvl="discrete">
      <location StartPos="19" EndPos="19" width="1" RecSegNo="1"/>
      <labl>
        Sector "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sector "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/ block is classified as Rural or Urban.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          610085
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          528307
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V121" name="Stratum" files="F6" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each state two basic strata will be formed: (i) rural stratum comprising of all rural areas of the state and (ii) urban stratum comprising of all the urban areas of the state.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V122" name="S_Round" files="F6" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Sub - round
      </labl>
      <qstn>
        <qstnLit>
          Sub - round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub Round 1
        </labl>
        <catStat type="freq">
          283332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub Round 2
        </labl>
        <catStat type="freq">
          284280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub Round 3
        </labl>
        <catStat type="freq">
          284348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub Round 4
        </labl>
        <catStat type="freq">
          286432
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V123" name="FSU_Srl_No" files="F6" intrvl="discrete">
      <location StartPos="23" EndPos="27" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector.  However, for some of the newly declared towns  of 1991 census for which UFS frame  has not been received, the  1991 census enumeration blocks are the first-stage units.This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V124" name="Second_Stratum" files="F6" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum "1''or "2"
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V125" name="HH_No" files="F6" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V126" name="Level" files="F6" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1138392
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V127" name="Month_Yr_Code" files="F6" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Month / Year Code
      </labl>
      <qstn>
        <qstnLit>
          Month / Year Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month
        </labl>
        <catStat type="freq">
          715660
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Year
        </labl>
        <catStat type="freq">
          422732
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V128" name="B9_q1" files="F6" intrvl="discrete">
      <location StartPos="34" EndPos="36" width="3" RecSegNo="1"/>
      <labl>
        Block 9 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 9 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[A three-digit code system for identification of each item of consumer expenditure has been used. The digit in the hundreds place  indicates broad division of items; the  hundred and tens places together specify groups of items and all the three digits together indicate a particular item.  Item code ending with '8' represents 'others', that is, any item belonging to the particular group but not listed sepa­rately.  Similarly, a code with '9' in the unit place is a sub-total item.

Durable goods : 
This term refers to durable goods other than clothing and footwear; items included here are distinguished from miscellaneous goods by having a longer expected lifetime of use (roughly, one year or more). Expenditure incurred on repairs and construction of durables used for domestic purpose is included in "expenditure on durable goods".]]></txt>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          73391
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          690
        </catValu>
        <labl>
          bedstead
        </labl>
        <catStat type="freq">
          69238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          691
        </catValu>
        <labl>
          almirah
        </labl>
        <catStat type="freq">
          27039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          692
        </catValu>
        <labl>
          dressing table
        </labl>
        <catStat type="freq">
          10875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          693
        </catValu>
        <labl>
          chair
        </labl>
        <catStat type="freq">
          42378
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          coach. sofa
        </labl>
        <catStat type="freq">
          10972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          695
        </catValu>
        <labl>
          table.desk
        </labl>
        <catStat type="freq">
          31090
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          696
        </catValu>
        <labl>
          stool. bench
        </labl>
        <catStat type="freq">
          33073
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          697
        </catValu>
        <labl>
          suitcase, trunk, box, handbag and other travel goods
        </labl>
        <catStat type="freq">
          66487
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          foam, ruhber cushion(dunlo pillow type)
        </labl>
        <catStat type="freq">
          4357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          carpet and other floor matting
        </labl>
        <catStat type="freq">
          14512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          paintings, drawings, engravings etc.
        </labl>
        <catStat type="freq">
          3282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl>
          other furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          709
        </catValu>
        <labl>
          furniture &amp; fixtures : s.t. (690-708)
        </labl>
        <catStat type="freq">
          8814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          gramophone &amp; record player
        </labl>
        <catStat type="freq">
          735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          radio
        </labl>
        <catStat type="freq">
          34991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          radiogram
        </labl>
        <catStat type="freq">
          660
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          television, VCR/VCP
        </labl>
        <catStat type="freq">
          25546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          camera &amp; other photographic equipment
        </labl>
        <catStat type="freq">
          2186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          715
        </catValu>
        <labl>
          tape recorder
        </labl>
        <catStat type="freq">
          14541
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          harmonium
        </labl>
        <catStat type="freq">
          646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          717
        </catValu>
        <labl>
          piano
        </labl>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          music record, audio/ video cassette
        </labl>
        <catStat type="freq">
          11238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          other musical instruments
        </labl>
        <catStat type="freq">
          964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          other goods for recreation, entertainment and hobbies
        </labl>
        <catStat type="freq">
          639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl><![CDATA[goods for recreation  s-t. (710-728)]]></labl>
        <catStat type="freq">
          12866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          730
        </catValu>
        <labl>
          gold ornaments
        </labl>
        <catStat type="freq">
          2039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          silver ornaments
        </labl>
        <catStat type="freq">
          2264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          jewels, pearls
        </labl>
        <catStat type="freq">
          162
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          738
        </catValu>
        <labl>
          other ornaments
        </labl>
        <catStat type="freq">
          1851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          739
        </catValu>
        <labl>
          jewellery and ornaments : s.t. (730—738)
        </labl>
        <catStat type="freq">
          5403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          stainless steel utensils
        </labl>
        <catStat type="freq">
          25101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          bell metal utensils
        </labl>
        <catStat type="freq">
          3870
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          copper utensils
        </labl>
        <catStat type="freq">
          1561
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          aluminium utensils
        </labl>
        <catStat type="freq">
          17779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          iron utensils
        </labl>
        <catStat type="freq">
          5930
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          745
        </catValu>
        <labl>
          brass utensils
        </labl>
        <catStat type="freq">
          3856
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          746
        </catValu>
        <labl>
          enamel utensils
        </labl>
        <catStat type="freq">
          2166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          747
        </catValu>
        <labl>
          melamine crockery
        </labl>
        <catStat type="freq">
          2508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          748
        </catValu>
        <labl>
          other household utensils
        </labl>
        <catStat type="freq">
          9554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          household utensils : s t (740—748)
        </labl>
        <catStat type="freq">
          33676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          electric fan
        </labl>
        <catStat type="freq">
          34925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          stove (pressure type/wick type)
        </labl>
        <catStat type="freq">
          35296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          pressure cooker/pressure pan
        </labl>
        <catStat type="freq">
          23072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          non-sticking pan
        </labl>
        <catStat type="freq">
          1997
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          754
        </catValu>
        <labl>
          geyser (hot water)
        </labl>
        <catStat type="freq">
          2368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          755
        </catValu>
        <labl>
          sewing machine
        </labl>
        <catStat type="freq">
          12900
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          washing machine
        </labl>
        <catStat type="freq">
          2533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          757
        </catValu>
        <labl>
          refridgerator
        </labl>
        <catStat type="freq">
          7452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          air conditioner, air cooler
        </labl>
        <catStat type="freq">
          3715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          761
        </catValu>
        <labl>
          lantern, lamp, electric lampshade
        </labl>
        <catStat type="freq">
          1833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          electric iron, heater, toaster, other electrical heating appliances
        </labl>
        <catStat type="freq">
          526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          763
        </catValu>
        <labl>
          thermos / thermoware
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          768
        </catValu>
        <labl>
          oven etc. and other cooking &amp; household appliances /equipment
        </labl>
        <catStat type="freq">
          578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          769
        </catValu>
        <labl>
          Cooking and household appliances : s.t. (750-768)
        </labl>
        <catStat type="freq">
          12712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          770
        </catValu>
        <labl>
          bicycle
        </labl>
        <catStat type="freq">
          69848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          771
        </catValu>
        <labl>
          motor cycle, scooter
        </labl>
        <catStat type="freq">
          15733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          motor car, jeep
        </labl>
        <catStat type="freq">
          2197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          773
        </catValu>
        <labl>
          tyres &amp; tubes
        </labl>
        <catStat type="freq">
          10492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          774
        </catValu>
        <labl>
          perambulator
        </labl>
        <catStat type="freq">
          339
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          778
        </catValu>
        <labl>
          other transport equipment
        </labl>
        <catStat type="freq">
          738
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          779
        </catValu>
        <labl>
          personal transport equipment : s.t. (770—778)
        </labl>
        <catStat type="freq">
          60730
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          hearing aids
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          781
        </catValu>
        <labl>
          glass eyes artificial limbs, orthopaedic braces &amp; supports
        </labl>
        <catStat type="freq">
          193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          782
        </catValu>
        <labl>
          surgical belts, trusses &amp; supports
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          783
        </catValu>
        <labl>
          clinical thermometer
        </labl>
        <catStat type="freq">
          574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          other therapeutic appliances &amp; equipment
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          789
        </catValu>
        <labl>
          Therapeutic appliances &amp; equipment : Total
        </labl>
        <catStat type="freq">
          305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          790
        </catValu>
        <labl>
          clock, watch
        </labl>
        <catStat type="freq">
          45826
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          791
        </catValu>
        <labl>
          typewriter
        </labl>
        <catStat type="freq">
          300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          electric hair drier &amp; shaver
        </labl>
        <catStat type="freq">
          348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          798
        </catValu>
        <labl>
          any other personal goods
        </labl>
        <catStat type="freq">
          1557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          799
        </catValu>
        <labl>
          other personal goods : s.t. (790—798)
        </labl>
        <catStat type="freq">
          7200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          residential building and land (cost of repairs only)
        </labl>
        <catStat type="freq">
          30088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          808
        </catValu>
        <labl>
          other durables (specify)
        </labl>
        <catStat type="freq">
          714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          809
        </catValu>
        <labl>
          residential building, land and other durables s.t. (800+808)
        </labl>
        <catStat type="freq">
          30650
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          819
        </catValu>
        <labl>
          durable goods total (709 + 729 + 739 + 749 + 769 + 779 + 789 +799 + 809)
        </labl>
        <catStat type="freq">
          101407
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V130" name="B9_q3" files="F6" dcml="0" intrvl="contin">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        No. in use on the date of survey
      </labl>
      <qstn>
        <qstnLit>
          How many numbers of the item are being used by the household on the date of survey?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="8500"/>
      </valrng>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8500
      </sumStat>
      <sumStat type="mean">
        1.511
      </sumStat>
      <sumStat type="stdev">
        24.193
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V131" name="B9_q4" files="F6" dcml="0" intrvl="contin">
      <location StartPos="41" EndPos="44" width="4" RecSegNo="1"/>
      <labl>
        First hand purchase - number
      </labl>
      <qstn>
        <qstnLit>
          How many numbers of the item were first hand purchase?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="7431"/>
      </valrng>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        7431
      </sumStat>
      <sumStat type="mean">
        0.118
      </sumStat>
      <sumStat type="stdev">
        18.22
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V132" name="B9_q5" files="F6" intrvl="discrete">
      <location StartPos="45" EndPos="45" width="1" RecSegNo="1"/>
      <labl>
        First hand purchase - whether hire purchase
      </labl>
      <qstn>
        <qstnLit>
          Whether the item was first hand hire purchased?
        </qstnLit>
        <ivuInstr><![CDATA[ It may be noted that when durable goods are purchased in cash or kind during the reference period, code 2 will be recorded in this column.  If, on the other hand, an item of durable goods is purchased on installment payment and the expenditure made on it during the reference period consists of one or more such installment pay­ments code 1 will be recorded in this column.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          1060040
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          11838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          66514
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V133" name="B9_q6" files="F6" dcml="2" intrvl="contin">
      <location StartPos="46" EndPos="54" width="9" RecSegNo="1"/>
      <labl>
        First hand purchase - cash (in Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          How much did the household spend in cash on the item of the first hand purchase?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="785000"/>
      </valrng>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        785000
      </sumStat>
      <sumStat type="mean">
        127.469
      </sumStat>
      <sumStat type="stdev">
        2164.81
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V134" name="B9_q7" files="F6" dcml="2" intrvl="contin">
      <location StartPos="55" EndPos="63" width="9" RecSegNo="1"/>
      <labl>
        First hand purchase - cash &amp; kind (in Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          How much did the household spend in cash and kind on the item of the first hand purchase?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="785000"/>
      </valrng>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        785000
      </sumStat>
      <sumStat type="mean">
        128.235
      </sumStat>
      <sumStat type="stdev">
        2165.824
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V135" name="B9_q8" files="F6" dcml="2" intrvl="contin">
      <location StartPos="64" EndPos="72" width="9" RecSegNo="1"/>
      <labl>
        Cost of raw materials &amp; services - cash (in Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          How much was paid in cash by the household towards the cost of raw materials &amp; services?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="250600"/>
      </valrng>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        250600
      </sumStat>
      <sumStat type="mean">
        92.946
      </sumStat>
      <sumStat type="stdev">
        1108.606
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V136" name="B9_q9" files="F6" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="81" width="9" RecSegNo="1"/>
      <labl>
        Cost of raw materials &amp; services - cash &amp; kind (in Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          How much was paid in cash and kind by the household towards the cost of raw materials &amp; services?
        </qstnLit>
        <ivuInstr><![CDATA[Information  on expenditure made in cash and in cash & kind for construction, assemblage and repairs of durable goods will be collected here.  Value of durable goods constructed will comprise value of raw materials, services and/or labour charges and any other charges.  The total value of raw materials, services and labour charges will be recorded in this block.  The purchase value of a consumer durable constructed or repaired by an artisan for his/her domestic use will be the aggregate of the purchase value of the raw material components used and imputed value of his/her services for its construction/repairs.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="250600"/>
      </valrng>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        250600
      </sumStat>
      <sumStat type="mean">
        94.169
      </sumStat>
      <sumStat type="stdev">
        1112.346
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V137" name="B9_q10" files="F6" dcml="2" intrvl="contin">
      <location StartPos="82" EndPos="90" width="9" RecSegNo="1"/>
      <labl>
        Total Consumption - Cash (in Rs. 0.00)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="790000"/>
      </valrng>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        790000
      </sumStat>
      <sumStat type="mean">
        220.723
      </sumStat>
      <sumStat type="stdev">
        2470.689
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V138" name="B9_q11" files="F6" dcml="2" intrvl="contin">
      <location StartPos="91" EndPos="99" width="9" RecSegNo="1"/>
      <labl>
        Total Consumption - Cash &amp; Kind (in Rs. 0.00)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[Expenditure (cash & kind) for purchase and construction (including repair) of durable goods for domestic use.  Information on expenditure incurred for purchase and cost of raw materials and services for construction and repairs of du­rable goods for domestic use during the last 30 days (block 9.1) and also for the last 365 days (block 9.2) will be collected in these blocks.  Purchase will include both first-hand and second-hand purchase and will be recorded in separate columns of these blocks.  Blocks 9.1 and 9.2 are identical except their reference periods.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="790000"/>
      </valrng>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        790000
      </sumStat>
      <sumStat type="mean">
        222.713
      </sumStat>
      <sumStat type="stdev">
        2474.344
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V139" name="B9_q12" files="F6" dcml="0" intrvl="contin">
      <location StartPos="100" EndPos="103" width="4" RecSegNo="1"/>
      <labl>
        Second Hand Purchase - Number
      </labl>
      <qstn>
        <qstnLit>
          How many numbers of the item were second hand purchase?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="9000"/>
      </valrng>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9000
      </sumStat>
      <sumStat type="mean">
        0.244
      </sumStat>
      <sumStat type="stdev">
        36.208
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V140" name="B9_q13" files="F6" dcml="2" intrvl="contin">
      <location StartPos="104" EndPos="112" width="9" RecSegNo="1"/>
      <labl>
        Second Hand Purchase -Cash (in Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          How much did the household spend in cash on the item of the second hand purchase?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="270000"/>
      </valrng>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        270000
      </sumStat>
      <sumStat type="mean">
        8.595
      </sumStat>
      <sumStat type="stdev">
        814.451
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V141" name="B9_q14" files="F6" dcml="2" intrvl="contin">
      <location StartPos="113" EndPos="121" width="9" RecSegNo="1"/>
      <labl>
        Second Hand Purchase -Cash &amp; Kind (in Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          How much did the household spent in cash and kind on the item of the second hand purchase?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="270000"/>
      </valrng>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        270000
      </sumStat>
      <sumStat type="mean">
        8.758
      </sumStat>
      <sumStat type="stdev">
        820.211
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V142" name="Wgt_SubSample" wgt="wgt" files="F6" dcml="2" intrvl="contin">
      <location StartPos="122" EndPos="129" width="8" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="53557.09"/>
      </valrng>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        53557.09
      </sumStat>
      <sumStat type="mean">
        2421.118
      </sumStat>
      <sumStat type="stdev">
        2141.935
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V143" name="Wgt_Combined" wgt="wgt" files="F6" dcml="2" intrvl="contin">
      <location StartPos="130" EndPos="137" width="8" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="26778.55"/>
      </valrng>
      <sumStat type="vald">
        1138392
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        26778.55
      </sumStat>
      <sumStat type="mean">
        1224.871
      </sumStat>
      <sumStat type="stdev">
        1089.201
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V170" name="HHID" files="F7" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V146" name="Rd_Sch" files="F7" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Indicates the NSS  round number and schedule number of this survey.]]></txt>
      <catgry>
        <catValu>
          501
        </catValu>
        <catStat type="freq">
          13796
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V147" name="St_Region" files="F7" intrvl="discrete">
      <location StartPos="12" EndPos="14" width="3" RecSegNo="1"/>
      <labl>
        State - Region
      </labl>
      <qstn>
        <qstnLit>
          State - Region
        </qstnLit>
        <ivuInstr>
          State and NSS region to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V171" name="State" files="F7" intrvl="discrete">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
        <ivuInstr>
          State to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal.
      </txt>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh             ]]></labl>
        <catStat type="freq">
          1026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh        ]]></labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          859
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Bihar    ]]></labl>
        <catStat type="freq">
          542
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Goa                      ]]></labl>
        <catStat type="freq">
          49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                          ]]></labl>
        <catStat type="freq">
          333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh        ]]></labl>
        <catStat type="freq">
          746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir      ]]></labl>
        <catStat type="freq">
          316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh          ]]></labl>
        <catStat type="freq">
          1022
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          1585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          295
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          363
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          680
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          1512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli    ]]></labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Daman & Diu               ]]></labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State - Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V148" name="S_Sample" files="F7" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/block is central sample or state sample
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central
        </labl>
        <catStat type="freq">
          13796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V149" name="Sample" files="F7" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V150" name="Sector" files="F7" intrvl="discrete">
      <location StartPos="19" EndPos="19" width="1" RecSegNo="1"/>
      <labl>
        Sector "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sector "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/ block is classified as Rural or Urban.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          8731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          5065
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V151" name="Stratum" files="F7" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each state two basic strata will be formed: (i) rural stratum comprising of all rural areas of the state and (ii) urban stratum comprising of all the urban areas of the state.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V152" name="S_Round" files="F7" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Sub - round
      </labl>
      <qstn>
        <qstnLit>
          Sub - round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub Round 1
        </labl>
        <catStat type="freq">
          4242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub Round 2
        </labl>
        <catStat type="freq">
          3472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub Round 3
        </labl>
        <catStat type="freq">
          3195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub Round 4
        </labl>
        <catStat type="freq">
          2887
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V153" name="FSU_Srl_No" files="F7" intrvl="discrete">
      <location StartPos="23" EndPos="27" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector.  However, for some of the newly declared towns  of 1991 census for which UFS frame  has not been received, the  1991 census enumeration blocks are the first-stage units.This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V154" name="Second_Stratum" files="F7" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum "1''or "2"
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V155" name="HH_No" files="F7" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V156" name="Level" files="F7" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          13796
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V157" name="Month_Yr_Code" files="F7" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Month / Year Code
      </labl>
      <qstn>
        <qstnLit>
          Month / Year Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month
        </labl>
        <catStat type="freq">
          2057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Year
        </labl>
        <catStat type="freq">
          11739
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V158" name="B13_1_q1" files="F7" intrvl="discrete">
      <location StartPos="34" EndPos="36" width="3" RecSegNo="1"/>
      <labl>
        Serial no. of ceremony
      </labl>
      <qstn>
        <qstnLit>
          Serial no. of ceremony
        </qstnLit>
        <ivuInstr><![CDATA[This item is to be filled in if the household had reported to have performed one or more ceremonies.  Particulars about the ceremony performed last (within the refer­ence period 30 days) are to be recorded first.  Other ceremonies performed within the period are to be noted one by one in sequen­tial order of the dates of performance of the ceremonies.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Block 13.1 contains  particulars of ceremonies performed and meals served by the household during the last 30 days prior to the date of survey. Ceremonies are performed to solemnize notable events of life e.g. birth, marriage etc. Members of a household may have to perform some religious rites consequent upon the death of a person.  For various religious faiths, there are some days in a year which are observed with ceremonial performanc­es like offering of puja, prayer, celebration of rituals etc.  Such ceremonies may be performed by household members as required under the social/religious customs without incurring any expendi­ture for entertaining guests.  On the other hand, households may have to spend something under different heads for the purpose of entertainment.  Conventionally these expenditures are considered as essential part of the ceremonies performed by them.  The purpose of providing this block in this schedule is to estimate the no. of meals served to guests during ceremonies performed by the household in the last 30 days preceding the date of enquiry as also the meals serves to guests and employees (non-members only) on any other occasion (other than ceremonies) and  also to estimate the amount of expenditure incurred by the household on these occasions under various broad groups of items e.g. food, clothing & footwear, misc. goods & services, durable goods etc.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V160" name="B13_1_q3" files="F7" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Code of ceremony
      </labl>
      <qstn>
        <qstnLit>
          Code of ceremony
        </qstnLit>
        <ivuInstr><![CDATA[Ceremonies are performed to solemnize notable events of life e.g. birth, marriage etc. Members of a household may have to perform some religious rites consequent upon the death  a person.  For various religious faiths, there are some days in a year which are observed with ceremonial performanc­es like offering of puja, prayer, celebration of rituals etc.  Such ceremonies may be performed by household members as required under the social/religious customs without incurring any expendi­ture for entertaining guests.  On the other hand, households may have to spend something under different heads for the purpose of entertainment.  Conventionally these expenditures are considered as essential part of the ceremonies performed by them.  The purpose of providing this block in this schedule is to estimate the no. of meals served to guests during ceremonies performed by the household in the last 30 days preceding the date of enquiry as also the meals serves to guests and employees (non-members only) on any other occasion (other than ceremonies) and  also to estimate the amount of expenditure incurred by the household on these occasions under various broad groups of items e.g. food, clothing & footwear, misc. goods & services, durable goods etc.  Hence only those ceremonies on which some amount of expenditure is involved should be listed in this block.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[01	Birth	
02	Birthday	
03	Head Shaving / Mundan	
04	Annaprasan / First rice taking	
05	Thread ceremony	
06	Marriage	
07	Marriage anniversary	
08	Death	
09	Other (Specify)]]></txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Birth
        </labl>
        <catStat type="freq">
          602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Birthday
        </labl>
        <catStat type="freq">
          1212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Head Shaving / Mundan
        </labl>
        <catStat type="freq">
          145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Annaprasan / First rice taking
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Thread ceremony
        </labl>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Marriage
        </labl>
        <catStat type="freq">
          1186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Marriage anniversary
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Death
        </labl>
        <catStat type="freq">
          842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Other (Specify)
        </labl>
        <catStat type="freq">
          2903
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          6683
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V161" name="B13_1_q4" files="F7" dcml="0" intrvl="contin">
      <location StartPos="39" EndPos="42" width="4" RecSegNo="1"/>
      <labl>
        No. of meals served
      </labl>
      <qstn>
        <qstnLit>
          How many meals were served to the guests during the ceremony?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9999
      </sumStat>
      <sumStat type="mean">
        143.857
      </sumStat>
      <sumStat type="stdev">
        361.051
      </sumStat>
      <txt>
        The entry in this item indicates the number of meals served to guests during the ceremony.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V162" name="B13_1_q5" files="F7" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="48" width="6" RecSegNo="1"/>
      <labl>
        Expenditure incurred on food
      </labl>
      <qstn>
        <qstnLit>
          How much expenditure did you incur on food in the ceremony?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="100000"/>
      </valrng>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        100000
      </sumStat>
      <sumStat type="mean">
        1987.635
      </sumStat>
      <sumStat type="stdev">
        4511.194
      </sumStat>
      <txt><![CDATA[The values of consumption / actual expenditure incurred for the performance of every ceremony on  food.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V163" name="B13_1_q6" files="F7" dcml="0" intrvl="contin">
      <location StartPos="49" EndPos="53" width="5" RecSegNo="1"/>
      <labl>
        Expenditure incurred on clothing &amp; footwear
      </labl>
      <qstn>
        <qstnLit>
          How much expenditure did you incur on clothing and footwear in the ceremony?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="60000"/>
      </valrng>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        60000
      </sumStat>
      <sumStat type="mean">
        1104.76
      </sumStat>
      <sumStat type="stdev">
        3060.011
      </sumStat>
      <txt><![CDATA[The values of consumption / actual expenditure incurred for the performance of every ceremony on  clothing and footwear.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V164" name="B13_1_q7" files="F7" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="59" width="6" RecSegNo="1"/>
      <labl>
        Expenditure incurred on miscellaneous goods &amp; services
      </labl>
      <qstn>
        <qstnLit>
          How much expenditure did you incur on miscellaneous goods and services in the ceremony?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="100000"/>
      </valrng>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        100000
      </sumStat>
      <sumStat type="mean">
        630.998
      </sumStat>
      <sumStat type="stdev">
        2911.503
      </sumStat>
      <txt><![CDATA[The values of consumption / actual expenditure incurred for the performance of every ceremony on  miscellaneous goods & services .]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V165" name="B13_1_q8" files="F7" dcml="0" intrvl="contin">
      <location StartPos="60" EndPos="65" width="6" RecSegNo="1"/>
      <labl>
        Expenditure incurred on durables
      </labl>
      <qstn>
        <qstnLit>
          How much expenditure did you incur on durables in the ceremony?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="200000"/>
      </valrng>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        200000
      </sumStat>
      <sumStat type="mean">
        1379.387
      </sumStat>
      <sumStat type="stdev">
        6697.816
      </sumStat>
      <txt><![CDATA[The values of consumption / actual expenditure incurred for the performance of every ceremony on  durables.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V166" name="B13_1_q9" files="F7" dcml="0" intrvl="contin">
      <location StartPos="66" EndPos="71" width="6" RecSegNo="1"/>
      <labl>
        Expenditure incurred on others
      </labl>
      <qstn>
        <qstnLit>
          How much expenditure did you incur on other things in the ceremony?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="240000"/>
      </valrng>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        240000
      </sumStat>
      <sumStat type="mean">
        883.636
      </sumStat>
      <sumStat type="stdev">
        6432.874
      </sumStat>
      <txt><![CDATA[The values of consumption / actual expenditure incurred for the performance of every ceremony on  other items. Consumption  of pan, tobacco, intoxicants, fuel & light was recorded in this item.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V167" name="B13_1_q10" files="F7" dcml="0" intrvl="contin">
      <location StartPos="72" EndPos="77" width="6" RecSegNo="1"/>
      <labl>
        Expenditure incurred - All
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="400000"/>
      </valrng>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        400000
      </sumStat>
      <sumStat type="mean">
        6026.875
      </sumStat>
      <sumStat type="stdev">
        16897.15
      </sumStat>
      <txt>
        This is generated total of last 5 items.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V168" name="Wgt_SubSample" wgt="wgt" files="F7" dcml="2" intrvl="contin">
      <location StartPos="78" EndPos="85" width="8" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="23982.41"/>
      </valrng>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        23982.41
      </sumStat>
      <sumStat type="mean">
        2344.892
      </sumStat>
      <sumStat type="stdev">
        2092.154
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V169" name="Wgt_Combined" wgt="wgt" files="F7" dcml="2" intrvl="contin">
      <location StartPos="86" EndPos="93" width="8" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="11991.21"/>
      </valrng>
      <sumStat type="vald">
        13796
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11991.21
      </sumStat>
      <sumStat type="mean">
        1172.495
      </sumStat>
      <sumStat type="stdev">
        1046.046
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V422" name="HHID" files="F11" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V371" name="Rd_Sch" files="F11" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Indicates the NSS  round number and schedule number of this survey.]]></txt>
      <catgry>
        <catValu>
          501
        </catValu>
        <catStat type="freq">
          115354
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V372" name="St_Region" files="F11" intrvl="discrete">
      <location StartPos="12" EndPos="14" width="3" RecSegNo="1"/>
      <labl>
        State - Region
      </labl>
      <qstn>
        <qstnLit>
          State - Region
        </qstnLit>
        <ivuInstr>
          State and NSS region to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V423" name="State" files="F11" intrvl="discrete">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
        <ivuInstr>
          State to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal.
      </txt>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh             ]]></labl>
        <catStat type="freq">
          8552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh        ]]></labl>
        <catStat type="freq">
          1304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          4079
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Bihar    ]]></labl>
        <catStat type="freq">
          9134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Goa                      ]]></labl>
        <catStat type="freq">
          359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                          ]]></labl>
        <catStat type="freq">
          4591
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          1737
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh        ]]></labl>
        <catStat type="freq">
          2275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir      ]]></labl>
        <catStat type="freq">
          1348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          5086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          4385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh          ]]></labl>
        <catStat type="freq">
          8546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          9968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          1699
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          1595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          1427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          700
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          4375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          3993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          4896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          640
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          7943
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          2090
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          13461
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          7818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          230
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli    ]]></labl>
        <catStat type="freq">
          318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Daman & Diu               ]]></labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          1046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          310
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          390
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State - Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V373" name="S_Sample" files="F11" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/block is central sample or state sample
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central
        </labl>
        <catStat type="freq">
          57613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State
        </labl>
        <catStat type="freq">
          57741
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V374" name="Sample" files="F11" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V375" name="Sector" files="F11" intrvl="discrete">
      <location StartPos="19" EndPos="19" width="1" RecSegNo="1"/>
      <labl>
        Sector "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Sector "1''or "2"
        </qstnLit>
        <ivuInstr>
          Record 1 or 2 depending on whether the selected sample village/ block is classified as Rural or Urban.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          69206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          46148
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V376" name="Stratum" files="F11" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each state two basic strata will be formed: (i) rural stratum comprising of all rural areas of the state and (ii) urban stratum comprising of all the urban areas of the state.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V377" name="S_Round" files="F11" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Sub - round
      </labl>
      <qstn>
        <qstnLit>
          Sub - round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub Round 1
        </labl>
        <catStat type="freq">
          28457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub Round 2
        </labl>
        <catStat type="freq">
          28453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub Round 3
        </labl>
        <catStat type="freq">
          28573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub Round 4
        </labl>
        <catStat type="freq">
          29871
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V378" name="FSU_Srl_No" files="F11" intrvl="discrete">
      <location StartPos="23" EndPos="27" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector.  However, for some of the newly declared towns  of 1991 census for which UFS frame  has not been received, the  1991 census enumeration blocks are the first-stage units.This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V379" name="Second_Stratum" files="F11" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum "1''or "2"
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum "1''or "2"
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V380" name="HH_No" files="F11" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V381" name="Level" files="F11" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          115354
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V382" name="B5_Item_189_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="33" EndPos="39" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of cereals (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6356"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6356
      </sumStat>
      <sumStat type="mean">
        343.987
      </sumStat>
      <sumStat type="stdev">
        228.864
      </sumStat>
      <txt>
        In this entry the household expenditure on broad group of consumption of cereals in the last 30 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V383" name="B5_Item_191_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="40" EndPos="45" width="6" RecSegNo="1"/>
      <labl>
        Value of total consumption of gram (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="544"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        544
      </sumStat>
      <sumStat type="mean">
        3.656
      </sumStat>
      <sumStat type="stdev">
        11.514
      </sumStat>
      <txt><![CDATA[In this entry  the household expenditure on broad group of consumption of gram in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V384" name="B5_Item_209_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="46" EndPos="51" width="6" RecSegNo="1"/>
      <labl>
        Value of total consumption of cereal substitutes (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="750"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        750
      </sumStat>
      <sumStat type="mean">
        1.6
      </sumStat>
      <sumStat type="stdev">
        10.311
      </sumStat>
      <txt><![CDATA[In this entry  the household  expenditure on broad group of consumption os cereal substitutes in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V385" name="B5_Item_229_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="52" EndPos="58" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of pulses &amp; products (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="2381"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2381
      </sumStat>
      <sumStat type="mean">
        59.349
      </sumStat>
      <sumStat type="stdev">
        50.553
      </sumStat>
      <txt><![CDATA[In this entry  the household expenditure on broad group of consumption of pulses and products  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V386" name="B5_Item_239_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="65" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of milk &amp; milk products (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="5760"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5760
      </sumStat>
      <sumStat type="mean">
        178.05
      </sumStat>
      <sumStat type="stdev">
        247.979
      </sumStat>
      <txt><![CDATA[In this entry  the household expenditure on broad group of consumption of milk and milk products  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V387" name="B5_Item_269_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="66" EndPos="72" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of edible oils (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="7650"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        7650
      </sumStat>
      <sumStat type="mean">
        77.674
      </sumStat>
      <sumStat type="stdev">
        71.881
      </sumStat>
      <txt><![CDATA[In this entry the household expenditure on broad group of consumption of edible oils  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V388" name="B5_Item_289_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="79" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of meat,fish and eggs (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8300"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8300
      </sumStat>
      <sumStat type="mean">
        75.416
      </sumStat>
      <sumStat type="stdev">
        130.34
      </sumStat>
      <txt><![CDATA[In this entry the household expenditure on broad group of consumption of meat, fish and eggs  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V389" name="B5_Item_339_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="80" EndPos="86" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of vegetables(in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="5000"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5000
      </sumStat>
      <sumStat type="mean">
        104.793
      </sumStat>
      <sumStat type="stdev">
        80.948
      </sumStat>
      <txt><![CDATA[In this entry the household expenditure on broad group of consumption of vegetables  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V390" name="B5_Item_359_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="87" EndPos="93" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of fresh fruits (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="2334"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2334
      </sumStat>
      <sumStat type="mean">
        35.366
      </sumStat>
      <sumStat type="stdev">
        58.676
      </sumStat>
      <txt><![CDATA[In this entry the household expenditure on broad group of consumption of fresh fruits  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V391" name="B5_Item_369_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="94" EndPos="100" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of dry fruits (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1220"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1220
      </sumStat>
      <sumStat type="mean">
        6.755
      </sumStat>
      <sumStat type="stdev">
        24.712
      </sumStat>
      <txt><![CDATA[In this entry the household expenditure on broad group of consumption of dry fruits  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V392" name="B5_Item_379_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="101" EndPos="107" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of sugar (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="4063.75"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4063.75
      </sumStat>
      <sumStat type="mean">
        48.508
      </sumStat>
      <sumStat type="stdev">
        55.638
      </sumStat>
      <txt><![CDATA[In this entry the household  expenditure on broad group of consumption of sugar in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V393" name="B5_Item_389_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="108" EndPos="112" width="5" RecSegNo="1"/>
      <labl>
        Value of total consumption of salt (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="89"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        89
      </sumStat>
      <sumStat type="mean">
        3.029
      </sumStat>
      <sumStat type="stdev">
        2.239
      </sumStat>
      <txt><![CDATA[In this entry the household expenditure on broad group of consumption of salt  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V394" name="B5_Item_399_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="113" EndPos="119" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of spices (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1535"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1535
      </sumStat>
      <sumStat type="mean">
        36.913
      </sumStat>
      <sumStat type="stdev">
        25.458
      </sumStat>
      <txt><![CDATA[In this entry the household  expenditure on broad group of consumption of spices  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V395" name="B5_Item_429_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="120" EndPos="126" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of beverages,refreshments &amp; processed food (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8825"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8825
      </sumStat>
      <sumStat type="mean">
        101.442
      </sumStat>
      <sumStat type="stdev">
        151.508
      </sumStat>
      <txt><![CDATA[In this entry the household expenditure on broad group of consumption of  beverages, refreshments and processed food  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V396" name="Total_Exp_Food" files="F11" dcml="2" intrvl="contin">
      <location StartPos="127" EndPos="134" width="8" RecSegNo="1"/>
      <labl>
        Value of total expenditure on food (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="24559.5"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        24559.5
      </sumStat>
      <sumStat type="mean">
        1076.537
      </sumStat>
      <sumStat type="stdev">
        696.768
      </sumStat>
      <txt>
        This entry contains total household expenditure on food in the last 30 days.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V397" name="B5_Item_439_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="135" EndPos="141" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of pan (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1255"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1255
      </sumStat>
      <sumStat type="mean">
        11.261
      </sumStat>
      <sumStat type="stdev">
        28.615
      </sumStat>
      <txt>
        In this entry the household expenditure on broad group of consumption of pan in the last 30 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V398" name="B5_Item_449_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="142" EndPos="148" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of tobacco (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1800"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1800
      </sumStat>
      <sumStat type="mean">
        29.081
      </sumStat>
      <sumStat type="stdev">
        52.177
      </sumStat>
      <txt><![CDATA[In this entry the household expenditure on broad group of tobacco  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V399" name="B5_Item_459_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="149" EndPos="156" width="8" RecSegNo="1"/>
      <labl>
        Value of total consumption of intoxicants (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="10000"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10000
      </sumStat>
      <sumStat type="mean">
        14.112
      </sumStat>
      <sumStat type="stdev">
        71.634
      </sumStat>
      <txt><![CDATA[In this entry the household expenditure on broad group of intoxicants  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V400" name="B5_Item_479_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="157" EndPos="165" width="9" RecSegNo="1"/>
      <labl>
        Value of total consumption of fuel &amp; light (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="100531.42"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        100531.42
      </sumStat>
      <sumStat type="mean">
        126.337
      </sumStat>
      <sumStat type="stdev">
        308.614
      </sumStat>
      <txt><![CDATA[In this entry the household expenditure on broad group of fuel and light  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V401" name="B6_1_Item_509_Col_9" files="F11" dcml="2" intrvl="contin">
      <location StartPos="166" EndPos="173" width="8" RecSegNo="1"/>
      <labl>
        Value of total consumption of clothing (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="10050"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10050
      </sumStat>
      <sumStat type="mean">
        96.865
      </sumStat>
      <sumStat type="stdev">
        318.827
      </sumStat>
      <txt>
        In this entry the household expenditure on broad group of clothing in the last 30 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V402" name="B7_1_Item_519_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="174" EndPos="180" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption of footwear (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="2050"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2050
      </sumStat>
      <sumStat type="mean">
        19.875
      </sumStat>
      <sumStat type="stdev">
        73.557
      </sumStat>
      <txt>
        In this entry the household expenditure on broad group of footwear in the last 30 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V403" name="B8_Item_579_Col_4" files="F11" dcml="2" intrvl="contin">
      <location StartPos="181" EndPos="189" width="9" RecSegNo="1"/>
      <labl>
        Value of total consumption of misc consumer goods (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="100035"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        100035
      </sumStat>
      <sumStat type="mean">
        101.022
      </sumStat>
      <sumStat type="stdev">
        311.655
      </sumStat>
      <txt><![CDATA[In this entry the household expenditure on broad group of miscellaneous consumer goods  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V404" name="B8_Item_629_Col_4" files="F11" dcml="2" intrvl="contin">
      <location StartPos="190" EndPos="198" width="9" RecSegNo="1"/>
      <labl>
        Value of total consumption of misc consumer services (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="250035"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        250035
      </sumStat>
      <sumStat type="mean">
        133.238
      </sumStat>
      <sumStat type="stdev">
        1084.447
      </sumStat>
      <txt><![CDATA[In this entry the household expenditure on broad group of miscellaneous consumer services  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V405" name="B8_Item_639_Col_4" files="F11" dcml="2" intrvl="contin">
      <location StartPos="199" EndPos="205" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption on rent (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="5500"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5500
      </sumStat>
      <sumStat type="mean">
        39.997
      </sumStat>
      <sumStat type="stdev">
        152.542
      </sumStat>
      <txt>
        In this entry the household expenditure on broad group of rent in the last 30 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V406" name="B8_Item_649_Col_4" files="F11" dcml="2" intrvl="contin">
      <location StartPos="206" EndPos="212" width="7" RecSegNo="1"/>
      <labl>
        Value of total consumption on taxes and cesses (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1651.5"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1651.5
      </sumStat>
      <sumStat type="mean">
        6.518
      </sumStat>
      <sumStat type="stdev">
        34.411
      </sumStat>
      <txt><![CDATA[In this entry the household  expenditure on broad group of taxes and cesses in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V407" name="B8_1_Item_659_Col_4" files="F11" dcml="2" intrvl="contin">
      <location StartPos="213" EndPos="221" width="9" RecSegNo="1"/>
      <labl>
        Value of total consumption on education (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="400154"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        400154
      </sumStat>
      <sumStat type="mean">
        140.037
      </sumStat>
      <sumStat type="stdev">
        1234.146
      </sumStat>
      <txt>
        In this entry the household expenditure on broad group of education in the last 30 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V408" name="B8_1_Item_669_Col_4" files="F11" dcml="2" intrvl="contin">
      <location StartPos="222" EndPos="225" width="4" RecSegNo="1"/>
      <labl>
        Value of total consumption on medical expenses : non- institutional (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range min="0" max="0"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        0
      </sumStat>
      <sumStat type="mean">
        0
      </sumStat>
      <sumStat type="stdev">
        0
      </sumStat>
      <txt><![CDATA[In this entry the household  expenditure on broad group of medical expenses (non-institutional)  in the last 30 days has been recorded.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V409" name="B8_1_Item_679_Col_4" files="F11" dcml="2" intrvl="contin">
      <location StartPos="226" EndPos="229" width="4" RecSegNo="1"/>
      <labl>
        Value of total consumption on medical expenses : institutional (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range min="0" max="0"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        0
      </sumStat>
      <sumStat type="mean">
        0
      </sumStat>
      <sumStat type="stdev">
        0
      </sumStat>
      <txt>
        In this entry the household expenditure on broad group of medical expenses (institutional) in the last 30 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V410" name="B8_1_Item_819_Col_4" files="F11" dcml="2" intrvl="contin">
      <location StartPos="230" EndPos="238" width="9" RecSegNo="1"/>
      <labl>
        Value of total consumption of durable goods (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="180000"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        180000
      </sumStat>
      <sumStat type="mean">
        65.06
      </sumStat>
      <sumStat type="stdev">
        965.741
      </sumStat>
      <txt>
        In this entry the household expenditure on the broad group of durables in the last 30 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V411" name="Tot_Exp_Non_Food" files="F11" dcml="2" intrvl="contin">
      <location StartPos="239" EndPos="247" width="9" RecSegNo="1"/>
      <labl>
        Value of total consumption of non food items (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="400773.55"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        400773.55
      </sumStat>
      <sumStat type="mean">
        783.403
      </sumStat>
      <sumStat type="stdev">
        2131.523
      </sumStat>
      <txt>
        In this entry the household expenditure on the broad group of non-food items in the last 30 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V412" name="Tot_Exp_Food_Non_Food" files="F11" dcml="2" intrvl="contin">
      <location StartPos="248" EndPos="256" width="9" RecSegNo="1"/>
      <labl>
        Value of total monthly consumption expenditure on food and non-food items (in Rs. 0.00) in the last 30 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="4" max="402855.69"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        402855.69
      </sumStat>
      <sumStat type="mean">
        1859.939
      </sumStat>
      <sumStat type="stdev">
        2432.267
      </sumStat>
      <txt>
        In this entry the household expenditure on the food and non-food items in the last 30 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V413" name="HH_Size" files="F11" dcml="0" intrvl="contin">
      <location StartPos="257" EndPos="260" width="4" RecSegNo="1"/>
      <labl>
        Household Size
      </labl>
      <qstn>
        <qstnLit>
          How many members are there in the household?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="100" max="6400"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        6400
      </sumStat>
      <sumStat type="mean">
        489.395
      </sumStat>
      <sumStat type="stdev">
        255.369
      </sumStat>
      <txt>
        Total number of members in the household
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V414" name="MPCE" files="F11" dcml="2" intrvl="contin">
      <location StartPos="261" EndPos="268" width="8" RecSegNo="1"/>
      <labl>
        Monthly Per Capita Expenditure (in Rs. 0.00) in the last 30 days (Tot_Exp_Food_Non_Food / HH_Size)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[In this block, the expenditure on broad groups of items is to be recorded in column(6).  The figures for this summary block should be copied from the entries made against various sub-total/total lines of block 5 to 9.2.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="68558.97"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        68558.97
      </sumStat>
      <sumStat type="mean">
        432.165
      </sumStat>
      <sumStat type="stdev">
        582.585
      </sumStat>
      <txt><![CDATA[It has been obtained by dividing the total consumer expenditure by the household size.  The result of the division has been recorded in rupees with two places of decimal.  

For a household, this is household consumer expenditure over a period of 30 days divided by household size. A person's MPCE is understood as that of the household to which he/she belongs.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V415" name="B6_2_Item_509_Col_9" files="F11" dcml="2" intrvl="contin">
      <location StartPos="269" EndPos="276" width="8" RecSegNo="1"/>
      <labl>
        Value of total consumption of clothing (in Rs. 0.00) in the last 365 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="38550"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        38550
      </sumStat>
      <sumStat type="mean">
        1624.822
      </sumStat>
      <sumStat type="stdev">
        1600.129
      </sumStat>
      <txt>
        In this entry the household expenditure on the broad group of clothing in the last 365 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V416" name="B7_2_Item_519_Col_8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="277" EndPos="284" width="8" RecSegNo="1"/>
      <labl>
        Value of total consumption of footwear (in Rs. 0.00) in the last 365 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="10300"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10300
      </sumStat>
      <sumStat type="mean">
        278.263
      </sumStat>
      <sumStat type="stdev">
        358.162
      </sumStat>
      <txt>
        In this entry the household expenditure on the broad group of footwear in the last 365 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V417" name="B8_1_Item_659_Col_6" files="F11" dcml="2" intrvl="contin">
      <location StartPos="285" EndPos="293" width="9" RecSegNo="1"/>
      <labl>
        Value of total consumption of education (in Rs. 0.00) in the last 365 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="401504"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        401504
      </sumStat>
      <sumStat type="mean">
        792.939
      </sumStat>
      <sumStat type="stdev">
        2419.598
      </sumStat>
      <txt>
        In this entry the household expenditure on the broad group of education in the last 365 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V418" name="B8_1_Item_679_Col_6" files="F11" dcml="2" intrvl="contin">
      <location StartPos="294" EndPos="297" width="4" RecSegNo="1"/>
      <labl>
        Value of total consumption on medical expenses : institutional (in Rs. 0.00) in the last 365 days
      </labl>
      <valrng>
        <range min="0" max="0"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        0
      </sumStat>
      <sumStat type="mean">
        0
      </sumStat>
      <sumStat type="stdev">
        0
      </sumStat>
      <txt>
        In this entry the household expenditure on the broad group of medical expenses (institutional) in the last 365 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V419" name="B9_2_Item_819_Col_11" files="F11" dcml="2" intrvl="contin">
      <location StartPos="298" EndPos="306" width="9" RecSegNo="1"/>
      <labl>
        Value of total consumption of durable goods (in Rs. 0.00) in the last 365 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="790000"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        790000
      </sumStat>
      <sumStat type="mean">
        666.559
      </sumStat>
      <sumStat type="stdev">
        4526.575
      </sumStat>
      <txt>
        In this entry the household expenditure on the broad group of durables in the last 365 days has been recorded.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V420" name="Wgt_SubSample" wgt="wgt" files="F11" dcml="2" intrvl="contin">
      <location StartPos="307" EndPos="314" width="8" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="53557.09"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        53557.09
      </sumStat>
      <sumStat type="mean">
        2777.478
      </sumStat>
      <sumStat type="stdev">
        2276.326
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V421" name="Wgt_Combined" wgt="wgt" files="F11" dcml="2" intrvl="contin">
      <location StartPos="315" EndPos="322" width="8" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="26778.55"/>
      </valrng>
      <sumStat type="vald">
        115354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        26778.55
      </sumStat>
      <sumStat type="mean">
        1410.677
      </sumStat>
      <sumStat type="stdev">
        1161.622
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
