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  <docDscr>
    <citation>
      <titlStmt>
        <titl>NSSO_62_Schedule_1_Household Consumer Expenditure</titl>
        <IDNo>DDI-IND-MOSPI-NSSO-62Rnd-Sch1.0-2005-2006</IDNo>
      </titlStmt>
      <rspStmt>
        <othId affiliation="Organisation for Economic Co-operation and Development (OECD), Paris and Computer centre MOSPI, India">
          <p>
            Shalini Gupta
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="MOSPI, CC" affiliation="M" role="Documentation of the study">Computer Centre</producer>
        <prodDate date="2012-04-02">
          2012-04-02
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        <software version="4.0.2" date="2011-01-07">Nesstar Publisher</software>
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        <version>Version 1.0 (April 2012)</version>
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      <holdings URI="http:\\mospi.nic.in/mospi_New/site_home.aspx"/>
    </citation>
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  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>Household Consumer Expenditure, NSS 62nd Round, Schedule 1, July 2005 - June 2006</titl>
        <altTitl>
          NSS 62nd Round
        </altTitl>
        <IDNo>DDI-IND-MOSPI-NSSO-62Rnd-Sch1.0-2005-06</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 Design, Sampling methodology, Survey Reports">
          Survey Design Reearch Division
        </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
        </producer>
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          Nesstar Publisher
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        <fundAg abbr="MOSPI">M/o Statistics &amp; Programme Implementation, GOI</fundAg>
      </prodStmt>
      <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
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Socio-Economic/Monitoring Survey [hh/sems]
        </serName>
        <serInfo><![CDATA[The National Sample Survey Organisation (NSSO) has been set up by the Government of India in 1950 to collect socio-economic data employing scientific sampling methods. The NSSO conducts regular consumer expenditure surveys as part of its "rounds", each round being normally of a year's duration and covering more than one subject of study. The surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country. Surveys on consumer expenditure are being conducted quinquennially on a large sample of households from the 27th round (October 1972 - September 1973) onwards. Apart from these quinquennial surveys, the NSSO collected information on consumer expenditure from a smaller sample of households since 42nd round (July 1986 - June 1987). Nowadays every round of NSS includes a consumer expenditure survey (CES), giving rise to an annual series of consumption data. The 62nd round survey is the seventeenth in the annual series of surveys of household consumer expenditure. It was conducted during July 2005 to June 2006. 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 word "consumption" is used in different senses. The main reason for this is that some items can be used only once while others can be used repeatedly. A household consumer expenditure survey, therefore, needs to assign different meanings to consumption for different items. The NSS traditionally uses three different definitions or approaches to consumption of different items: Consumption approach, Expenditure approach and  First-use approach. Items of consumption have been classified into four groups. The Consumption approach is used for Group I, the First-use approach for Group II and the Expenditure approach for Groups III and IV. The four groups of items are:

Group I: Items of food other than 'cooked meals*', pan, tobacco and intoxicants and fuel and light: Consumption is the actual consumption during the reference period. Both quantity and value of such consumption are collected.

Group II: Items of clothing and footwear: An item is consumed if it is brought into first use during the reference period. The item may or may not be procured within the reference period. It can be procured through purchase or home production, or as gift or charity. Both quantity and value are collected.

Group III: Durable goods: Any expenditure incurred on an item for purchase or towards cost of raw materials and services for its construction and repair during the reference period is treated as consumption of the item. 

Group IV: Cooked meals; Miscellaneous goods and services including education, medical, rent, taxes and cesses: Any expenditure incurred on the item during the reference period is treated as consumption of the item. Consumption is recorded in value terms only.

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. The schedule also collected some other household particulars including age, sex and educational level of each household member.

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 & Research Division (SDRD) of NSSO under the guidance of the Governing Council, NSSO.]]></serInfo>
      </serStmt>
      <verStmt>
        <version date="2012-04-02"></version>
      </verStmt>
    </citation>
    <stdyInfo>
      <abstract>The National Sample Survey Office (NSSO)  conducts regular consumer expenditure surveys as part of its "rounds", each round being normally of a year's duration and covering more than one subject of study. The surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country. Surveys on consumer expenditure are being conducted quinquennially on a large sample of households from the 27th round (October 1972 - September 1973) onwards. Apart from these quinquennial surveys, the NSSO collected information on consumer expenditure from a smaller sample of households since 42nd round (July 1986 - June 1987). Nowadays every round of NSS includes a consumer expenditure survey (CES), giving rise to an annual series of consumption data. The 61st round CES, conducted in 2004-05, was the seventh quinquennial CES. The other CES's, of which the 62nd round survey is one, are referred to collectively as the "annual series" of CES's. The 62nd round survey is the seventeenth in the annual series of surveys of household consumer expenditure. It was conducted during July 2005 to June 2006. 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.</abstract>
      <sumDscr>
        <collDate date="2005-07-01" event="start" cycle="Sub round 1"/>
        <collDate date="2005-09-30" event="end" cycle="Sub round 1"/>
        <collDate date="2005-10-01" event="start" cycle="Sub round 2"/>
        <collDate date="2005-12-31" event="end" cycle="Sub round 2"/>
        <collDate date="2006-01-01" event="start" cycle="Sub round 3"/>
        <collDate date="2006-03-31" event="end" cycle="Sub round 3"/>
        <collDate date="2006-04-01" event="start" cycle="Sub round 4"/>
        <collDate date="2006-06-30" event="end" cycle="Sub round 4"/>
        <nation abbr="IND">India</nation>
        <geogCover>The survey covered the whole of the Indian Union except (i) Leh (Ladakh), Kargil, Punch and Rajauri districts of Jammu &amp; Kashmir, (ii) interior villages of Nagaland situated beyond five kilometres of a bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.</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 12 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, type of dwelling  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. 

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

Block-6: In this block consumption of fuel & light during the last 30 days was recorded.

Block-7: Consumption of clothing, bedding, etc. during the last 365 days was recorded in this block.

Block-8 : Consumption of footwear during the last 365 days  was recorded in this block.

Block-9 : Expenditure on education and medical (institutional) goods and services during the last 365 days was recorded in Block 9.

Block-10 : Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days has been recorded in this block.

Block-11 : Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365 days has been recorded in this block.

Block-12: Contains the summary of consumer expenditure.]]></notes>
      <subject>
        <keyword>Household Consumer Expenditure</keyword>
        <keyword>NSS 62nd Round</keyword>
        <keyword>Schedule 1</keyword>
        <keyword>July 2005 - June 2006</keyword>
      </subject>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="NSS(FOD)" affiliation="MOSPI">
          NSSO(FOD)
        </dataCollector>
        <sampProc>Sample Design
A stratified multi-stage design was adopted for the 62nd round survey. The first stage units (FSU) were the 2001 census (for Manipur, 1991 census) villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) were households in both the sectors. 

In the case of large villages/ blocks requiring hamlet-group (hg)/ sub-block (sb) formation, one intermediate stage was the selection of two hgs/ sbs from each FSU.

Sampling frame: 
The list of villages as per census 2001 (for Manipur, 1991 census was used since 2001 census list was not available) was used as frame for the rural sector and the latest available list of UFS blocks was used as frame in the urban sector. However, EC-98 was used as frame for the 27 towns with population 10 lakhs or more (as per Census 2001).

Stratification: 
Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum. There are 27 towns with population 10 lakhs or more at all-India level as per census 2001.

Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.
1. For the rural sector, a cut-off point 'X' (in hectares) was determined at State/ UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.
2. Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.

From each SSS, the sample households were selected by SRSWOR.</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 62nd  round consisted of 12 blocks is given below. 
 
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

Block-4: Particulars of household members

Block-5: Cash purchase and consumption of food, pan, tobacco and intoxicants during the last 30 days 

Block-6: Consumption of fuel & light during the last 30 days 

Block-7: Consumption of clothing, bedding, etc. during the last 365 days 

Block-8 : Consumption of footwear during the last 365 days  

Block-9 : Expenditure on education and medical (institutional) goods and services during the last 365 days 

Block-10 : Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days 

Block-11 : Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365 days 

Block-12: Summary of consumer expenditure.]]></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_SS
2. Combined subsample  weight   is stored in  the variable name : WGT_SS_Combined]]></weight>
      </dataColl>
    </method>
    <dataAccs>
      <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_Identification of Sample Household.NSDstat
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      <fileCont>
        These blocks contains data for identification of the sample household. Particulars of field operations are also available in these blocks.
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        Nesstar 200801
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        NSSO
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      <fileName>
        Block 3_Household Characteristics.NSDstat
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      <fileCont>
        This block contains data on various household characteristics.
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        Nesstar 200801
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      <filePlac>
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  <fileDscr ID="F3" URI="NSSO_62_Schedule_1_Consumer_Expenditure.Nesstar?Index=2&amp;Name=Block 4_Person records">
    <fileTxt>
      <fileName>
        Block 4_Person records.NSDstat
      </fileName>
      <fileCont>
        Demographic and other particulars of the household members are available in this block.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V112 V111"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
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        Nesstar 200801
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      <filePlac>
        NSSO
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  <fileDscr ID="F4" URI="NSSO_62_Schedule_1_Consumer_Expenditure.Nesstar?Index=3&amp;Name=Block 5_Monthly household expenditure on food and non food items">
    <fileTxt>
      <fileName>
        Block 5_Monthly household expenditure on food and non food items.NSDstat
      </fileName>
      <fileCont>
        This block contains information on consumption of cereals, pulses, milk, sugar and salt by the household during a reference period of 30 days preceding the date of survey.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V130"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
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        Nesstar 200801
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      <filePlac>
        NSSO
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  <fileDscr ID="F5" URI="NSSO_62_Schedule_1_Consumer_Expenditure.Nesstar?Index=4&amp;Name=Block 6_Monthly household expenditure on fuel and light">
    <fileTxt>
      <fileName>
        Block 6_Monthly household expenditure on fuel and light.NSDstat
      </fileName>
      <fileCont>
        This block contains data on consumption of fuel &amp; light by the household during the last 30 days preceding the date of survey.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V158"/>
      </fileStrc>
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        <caseQnty>
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        Nesstar 200801
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        NSSO
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  <fileDscr ID="F11" URI="NSSO_62_Schedule_1_Consumer_Expenditure.Nesstar?Index=5&amp;Name=Block 7_Household expenditure on clothing, bedding etc">
    <fileTxt>
      <fileName>
        Block 7_Household expenditure on clothing, bedding etc.NSDstat
      </fileName>
      <fileCont>
        This block contains data on consumption of clothing, bedding etc. by the household during the last 365 days preceding the date of survey.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V325"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
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        Nesstar 200801
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        NSSO
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    </fileTxt>
  </fileDscr>
  <fileDscr ID="F7" URI="NSSO_62_Schedule_1_Consumer_Expenditure.Nesstar?Index=6&amp;Name=Block 8_Household expenditure on footwear">
    <fileTxt>
      <fileName>
        Block 8_Household expenditure on footwear.NSDstat
      </fileName>
      <fileCont>
        This block contains data on household expenditure on footwear by the household during the last 365 days preceding the date of survey.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V213"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
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      <fileType>
        Nesstar 200801
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      <filePlac>
        NSSO
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    </fileTxt>
  </fileDscr>
  <fileDscr ID="F12" URI="NSSO_62_Schedule_1_Consumer_Expenditure.Nesstar?Index=7&amp;Name=Block 9_Household expenditure on education and medical (institutional) goods and services">
    <fileTxt>
      <fileName>
        Block 9_Household expenditure on education and medical (institutional) goods and services.NSDstat
      </fileName>
      <fileCont>
        This block contains data on expenditure on education and medical (institutional) goods and services by the household during the last 365 days preceding the date of survey.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V352"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
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        Nesstar 200801
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      <filePlac>
        NSSO
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    </fileTxt>
  </fileDscr>
  <fileDscr ID="F9" URI="NSSO_62_Schedule_1_Consumer_Expenditure.Nesstar?Index=8&amp;Name=Block 10_ Monthly household expenditure on misc goods and services">
    <fileTxt>
      <fileName>
        Block 10_ Monthly household expenditure on misc goods and services.NSDstat
      </fileName>
      <fileCont>
        This block contains data on expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes by the household during the last 30 days preceding the date of survey.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V266"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
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        NSSO
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    <fileTxt>
      <fileName>
        Block 11_Household expenditure on durables.NSDstat
      </fileName>
      <fileCont><![CDATA[This block contains data on expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use  by the household during the last 365 days preceding the date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V292 V307"/>
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        Nesstar 200801
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      <filePlac>
        NSSO
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  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="record" var="V2 V6 V7 V28 V8 V32 V9 V10 V13 V14 V15">
      <labl>
        Geographical identifier
      </labl>
    </varGrp>
    <var ID="V31" name="HHID" files="F1" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a household
      </labl>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, segment number, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1" name="CentreCodeRoundShift" files="F1" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre code, Round, Shift
      </labl>
      <qstn>
        <qstnLit>
          Centre code, Round, Shift
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2" name="Vill_Blk_Slno" files="F1" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </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. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V3" name="Round" files="F1" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          62
        </catValu>
        <catStat type="freq">
          39436
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="ScheduleNumber" files="F1" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          010
        </catValu>
        <catStat type="freq">
          39436
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V5" name="Sample" files="F1" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V6" name="Sector" files="F1" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </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">
        39436
      </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">
          18992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          20444
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V7" name="St_Region" files="F1" intrvl="discrete">
      <location StartPos="25" EndPos="27" 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">
        39436
      </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="V28" name="State" files="F1" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          1403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          2078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          3821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          2011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          380
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          1392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          2743
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          1508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          2036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          1652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          3171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          2682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          1593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          1657
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          2682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          188
        </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="V8" name="District" files="F1" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
        <ivuInstr>
          District to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V32" name="St_District" files="F1" intrvl="discrete">
      <location StartPos="32" EndPos="35" width="4" RecSegNo="1"/>
      <labl>
        Unique identifier for a district
      </labl>
      <qstn>
        <qstnLit>
          Unique identifier for a district
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0101
        </catValu>
        <labl>
          Kupwara
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0102
        </catValu>
        <labl>
          Baramula
        </labl>
        <catStat type="freq">
          132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0103
        </catValu>
        <labl>
          Srinagar
        </labl>
        <catStat type="freq">
          284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0104
        </catValu>
        <labl>
          Badgam
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0105
        </catValu>
        <labl>
          Pulwama
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0106
        </catValu>
        <labl>
          Anantnag
        </labl>
        <catStat type="freq">
          119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0107
        </catValu>
        <labl><![CDATA[Leh*     Ladakh]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0108
        </catValu>
        <labl>
          Kargil*
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0109
        </catValu>
        <labl>
          Doda
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0110
        </catValu>
        <labl>
          Udhampur
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0111
        </catValu>
        <labl>
          Punch
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0112
        </catValu>
        <labl>
          Rajauri
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0113
        </catValu>
        <labl>
          Jammu
        </labl>
        <catStat type="freq">
          296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0114
        </catValu>
        <labl>
          Kathua
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0201
        </catValu>
        <labl>
          Chamba
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0202
        </catValu>
        <labl>
          Kangra
        </labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0203
        </catValu>
        <labl>
          Lahul &amp; Spiti
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0204
        </catValu>
        <labl>
          Kullu
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0205
        </catValu>
        <labl>
          Mandi
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0206
        </catValu>
        <labl>
          Hamirpur
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0207
        </catValu>
        <labl>
          Una
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0208
        </catValu>
        <labl>
          Bilaspur
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0209
        </catValu>
        <labl>
          Solan
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0210
        </catValu>
        <labl>
          Sirmaur
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0211
        </catValu>
        <labl>
          Shimla
        </labl>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0212
        </catValu>
        <labl>
          Kinnaur
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0301
        </catValu>
        <labl>
          Gurdaspur
        </labl>
        <catStat type="freq">
          175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0302
        </catValu>
        <labl>
          Amritsar
        </labl>
        <catStat type="freq">
          176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0303
        </catValu>
        <labl>
          Kapurthala
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0304
        </catValu>
        <labl>
          Jalandhar
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0305
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0306
        </catValu>
        <labl>
          Nawanshahr
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0307
        </catValu>
        <labl>
          Rupnagar
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0308
        </catValu>
        <labl>
          Fatehgarh Sahib
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0309
        </catValu>
        <labl>
          Ludhiana
        </labl>
        <catStat type="freq">
          216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0310
        </catValu>
        <labl>
          Moga
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0311
        </catValu>
        <labl>
          Firozpur
        </labl>
        <catStat type="freq">
          86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0312
        </catValu>
        <labl>
          Muktsar
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0313
        </catValu>
        <labl>
          Faridkot
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0314
        </catValu>
        <labl>
          Bathinda
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0315
        </catValu>
        <labl>
          Mansa
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0316
        </catValu>
        <labl>
          Sangrur
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0317
        </catValu>
        <labl>
          Patiala
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0401
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0501
        </catValu>
        <labl>
          Uttarkashi
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0502
        </catValu>
        <labl>
          Chamoli
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0503
        </catValu>
        <labl>
          Rudraprayag
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0504
        </catValu>
        <labl>
          Tehri Garhwal
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0505
        </catValu>
        <labl>
          Dehradun
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0506
        </catValu>
        <labl>
          Garhwal
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0507
        </catValu>
        <labl>
          Pithoragarh
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0508
        </catValu>
        <labl>
          Champawat
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0509
        </catValu>
        <labl>
          Almora
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0510
        </catValu>
        <labl>
          Bageshwar
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0511
        </catValu>
        <labl>
          Nainital
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0512
        </catValu>
        <labl>
          Udham Singh Nagar
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0513
        </catValu>
        <labl>
          Hardwar
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0601
        </catValu>
        <labl>
          Panchkula
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0602
        </catValu>
        <labl>
          Ambala
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0603
        </catValu>
        <labl>
          Yamunanagar
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0604
        </catValu>
        <labl>
          Kurukshetra
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0605
        </catValu>
        <labl>
          Kaithal
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0606
        </catValu>
        <labl>
          Karnal
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0607
        </catValu>
        <labl>
          Panipat
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0608
        </catValu>
        <labl>
          Sonipat
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0609
        </catValu>
        <labl>
          Jind
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0610
        </catValu>
        <labl>
          Fatehabad
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0611
        </catValu>
        <labl>
          Sirsa
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0612
        </catValu>
        <labl>
          Hisar
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0613
        </catValu>
        <labl>
          Bhiwani
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0614
        </catValu>
        <labl>
          Rohtak
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0615
        </catValu>
        <labl>
          Jhajjar
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0616
        </catValu>
        <labl>
          Mahendragarh
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0617
        </catValu>
        <labl>
          Rewari
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0618
        </catValu>
        <labl>
          Gurgaon
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0619
        </catValu>
        <labl>
          Faridabad
        </labl>
        <catStat type="freq">
          108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0701
        </catValu>
        <labl>
          North West
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0702
        </catValu>
        <labl>
          North
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0703
        </catValu>
        <labl>
          North East
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0704
        </catValu>
        <labl>
          East
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0705
        </catValu>
        <labl>
          New Delhi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0706
        </catValu>
        <labl>
          Central
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0707
        </catValu>
        <labl>
          West
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0708
        </catValu>
        <labl>
          South West
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0709
        </catValu>
        <labl>
          South
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0710
        </catValu>
        <catStat type="freq">
          224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0801
        </catValu>
        <labl>
          Ganganagar
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0802
        </catValu>
        <labl>
          Hanumangarh
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0803
        </catValu>
        <labl>
          Bikaner
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0804
        </catValu>
        <labl>
          Churu
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0805
        </catValu>
        <labl>
          Jhunjhunun
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0806
        </catValu>
        <labl>
          Alwar
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0807
        </catValu>
        <labl>
          Bharatpur
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0808
        </catValu>
        <labl>
          Dhaulpur
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0809
        </catValu>
        <labl>
          Karauli
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0810
        </catValu>
        <labl>
          Sawai Madhopur
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0811
        </catValu>
        <labl>
          Dausa
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0812
        </catValu>
        <labl>
          Jaipur
        </labl>
        <catStat type="freq">
          234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0813
        </catValu>
        <labl>
          Sikar
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0814
        </catValu>
        <labl>
          Nagaur
        </labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0815
        </catValu>
        <labl>
          Jodhpur
        </labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0816
        </catValu>
        <labl>
          Jaisalmer
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0817
        </catValu>
        <labl>
          Barmer
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0818
        </catValu>
        <labl>
          Jalor
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0819
        </catValu>
        <labl>
          Sirohi
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0820
        </catValu>
        <labl>
          Pali
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0821
        </catValu>
        <labl>
          Ajmer
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0822
        </catValu>
        <labl>
          Tonk
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0823
        </catValu>
        <labl>
          Bundi
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0824
        </catValu>
        <labl>
          Bhilwara
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0825
        </catValu>
        <labl>
          Rajsamand
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0826
        </catValu>
        <labl>
          Udaipur
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0827
        </catValu>
        <labl>
          Dungarpur
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0828
        </catValu>
        <labl>
          Banswara
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0829
        </catValu>
        <labl>
          Chittaurgarh
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0830
        </catValu>
        <labl>
          Kota
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0831
        </catValu>
        <labl>
          Baran
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0832
        </catValu>
        <labl>
          Jhalawar
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0901
        </catValu>
        <labl>
          Saharanpur
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0902
        </catValu>
        <labl>
          Muzaffarnagar
        </labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0903
        </catValu>
        <labl>
          Bijnor
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0904
        </catValu>
        <labl>
          Moradabad
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0905
        </catValu>
        <labl>
          Rampur
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0906
        </catValu>
        <labl>
          J Phule Nagar
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0907
        </catValu>
        <labl>
          Meerut
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0908
        </catValu>
        <labl>
          Baghpat
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0909
        </catValu>
        <labl>
          Ghaziabad
        </labl>
        <catStat type="freq">
          152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0910
        </catValu>
        <labl>
          G. Buddha Nagar
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0911
        </catValu>
        <labl>
          Bulandshahr
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0912
        </catValu>
        <labl>
          Aligarh
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0913
        </catValu>
        <labl>
          Hathras
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0914
        </catValu>
        <labl>
          Mathura
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0915
        </catValu>
        <labl>
          Agra
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0916
        </catValu>
        <labl>
          Firozabad
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0917
        </catValu>
        <labl>
          Etah
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0918
        </catValu>
        <labl>
          Mainpuri
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0919
        </catValu>
        <labl>
          Budaun
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0920
        </catValu>
        <labl>
          Bareilly
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0921
        </catValu>
        <labl>
          Pilibhit
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0922
        </catValu>
        <labl>
          Shahjahanpur
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0923
        </catValu>
        <labl>
          Kheri
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0924
        </catValu>
        <labl>
          Sitapur
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0925
        </catValu>
        <labl>
          Hardoi
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0926
        </catValu>
        <labl>
          Unnao
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0927
        </catValu>
        <labl>
          Lucknow
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0928
        </catValu>
        <labl>
          Rae Bareli
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0929
        </catValu>
        <labl>
          Farrukhabad
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0930
        </catValu>
        <labl>
          Kannauj
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0931
        </catValu>
        <labl>
          Etawah
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0932
        </catValu>
        <labl>
          Auraiya
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0933
        </catValu>
        <labl>
          Kanpur Dehat
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0934
        </catValu>
        <labl>
          Kanpur Nagar
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0935
        </catValu>
        <labl>
          Jalaun
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0936
        </catValu>
        <labl>
          Jhansi
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0937
        </catValu>
        <labl>
          Lalitpur
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0938
        </catValu>
        <labl>
          Hamirpur
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0939
        </catValu>
        <labl>
          Mahoba
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0940
        </catValu>
        <labl>
          Banda
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0941
        </catValu>
        <labl>
          Chitrakoot
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0942
        </catValu>
        <labl>
          Fatehpur
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0943
        </catValu>
        <labl>
          Pratapgarh
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0944
        </catValu>
        <labl>
          Kaushambi
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0945
        </catValu>
        <labl>
          Allahabad
        </labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0946
        </catValu>
        <labl>
          Barabanki
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0947
        </catValu>
        <labl>
          Faizabad
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0948
        </catValu>
        <labl>
          Ambedkar Nag.
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0949
        </catValu>
        <labl>
          Sultanpur
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0950
        </catValu>
        <labl>
          Bahraich
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0951
        </catValu>
        <labl>
          Shrawasti
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0952
        </catValu>
        <labl>
          Balrampur
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0953
        </catValu>
        <labl>
          Gonda
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0954
        </catValu>
        <labl>
          Siddharthnagar
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0955
        </catValu>
        <labl>
          Basti
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0956
        </catValu>
        <labl>
          S. Kabir Nagar
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0957
        </catValu>
        <labl>
          Maharajganj
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0958
        </catValu>
        <labl>
          Gorakhpur
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0959
        </catValu>
        <labl>
          Kushinagar
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0960
        </catValu>
        <labl>
          Deoria
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0961
        </catValu>
        <labl>
          Azamgarh
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0962
        </catValu>
        <labl>
          Mau
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0963
        </catValu>
        <labl>
          Ballia
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0964
        </catValu>
        <labl>
          Jaunpur
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0965
        </catValu>
        <labl>
          Ghazipur
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0966
        </catValu>
        <labl>
          Chandauli
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0967
        </catValu>
        <labl>
          Varanasi
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0968
        </catValu>
        <labl><![CDATA[S.R.Nagar  ( Bhadohi )]]></labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0969
        </catValu>
        <labl>
          Mirzapur
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0970
        </catValu>
        <labl>
          Sonbhadra
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1001
        </catValu>
        <labl><![CDATA[Champaran   (W)]]></labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1002
        </catValu>
        <labl><![CDATA[Champaran    (E)]]></labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1003
        </catValu>
        <labl>
          Sheohar
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1004
        </catValu>
        <labl>
          Sitamarhi
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1005
        </catValu>
        <labl>
          Madhubani
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1006
        </catValu>
        <labl>
          Supaul
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1007
        </catValu>
        <labl>
          Araria
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1008
        </catValu>
        <labl>
          Kishanganj
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1009
        </catValu>
        <labl>
          Purnia
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1010
        </catValu>
        <labl>
          Katihar
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1011
        </catValu>
        <labl>
          Madhepura
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1012
        </catValu>
        <labl>
          Saharsa
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1013
        </catValu>
        <labl>
          Darbhanga
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1014
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1015
        </catValu>
        <labl>
          Gopalganj
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1016
        </catValu>
        <labl>
          Siwan
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1017
        </catValu>
        <labl>
          Saran
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1018
        </catValu>
        <labl>
          Vaishali
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1019
        </catValu>
        <labl>
          Samastipur
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1020
        </catValu>
        <labl>
          Begusarai
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1021
        </catValu>
        <labl>
          Khagaria
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1022
        </catValu>
        <labl>
          Bhagalpur
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1023
        </catValu>
        <labl>
          Banka
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1024
        </catValu>
        <labl>
          Munger
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1025
        </catValu>
        <labl>
          Lakhisarai
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1026
        </catValu>
        <labl>
          Sheikhpura
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1027
        </catValu>
        <labl>
          Nalanda
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1028
        </catValu>
        <labl>
          Patna
        </labl>
        <catStat type="freq">
          215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1029
        </catValu>
        <labl>
          Bhojpur
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1030
        </catValu>
        <labl>
          Buxar
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1031
        </catValu>
        <labl><![CDATA[Kaimur    Bhabua]]></labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1032
        </catValu>
        <labl>
          Rohtas
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1033
        </catValu>
        <labl>
          Jehanabad
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1034
        </catValu>
        <labl>
          Aurangabad
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1035
        </catValu>
        <labl>
          Gaya
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1036
        </catValu>
        <labl>
          Nawada
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1037
        </catValu>
        <labl>
          Jamui
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl><![CDATA[North  ( Mongam )]]></labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          West ( Gyalshing )
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl><![CDATA[South  ( Nimachai )]]></labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          East ( Gangtok )
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Tawang
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          West Kameng
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          East Kameng
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Papum Pare
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Lower Subansiri
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1206
        </catValu>
        <labl>
          Upper Subansiri
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1207
        </catValu>
        <labl>
          West Siang
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1208
        </catValu>
        <labl>
          East Siang
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1209
        </catValu>
        <labl>
          Upper Siang
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Dibang Valley
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Lohit
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Changlang
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1213
        </catValu>
        <labl>
          Tirap
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Mon
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Tuensang
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Mokokchung
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Zunheboto
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1305
        </catValu>
        <labl>
          Wokha
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1306
        </catValu>
        <labl>
          Dimapur
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1307
        </catValu>
        <labl>
          Kohima
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1308
        </catValu>
        <labl>
          Phek
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Senapati
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Tamenglong
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1403
        </catValu>
        <labl>
          Churachandpur
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1404
        </catValu>
        <labl>
          Bishnupur
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1405
        </catValu>
        <labl>
          Thoubal
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1406
        </catValu>
        <labl>
          Imphal West
        </labl>
        <catStat type="freq">
          132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1407
        </catValu>
        <labl>
          Imphal East
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1408
        </catValu>
        <labl>
          Ukhrul
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1409
        </catValu>
        <labl>
          Chandel
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1501
        </catValu>
        <labl>
          Mamit
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1502
        </catValu>
        <labl>
          Kolasib
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1503
        </catValu>
        <labl>
          Aizwal
        </labl>
        <catStat type="freq">
          176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1504
        </catValu>
        <labl>
          Champhai
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1505
        </catValu>
        <labl>
          Serchip
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1506
        </catValu>
        <labl>
          Lunglei
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1507
        </catValu>
        <labl>
          Lawngtlai
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1508
        </catValu>
        <labl>
          Saiha
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1601
        </catValu>
        <labl>
          West Tripura
        </labl>
        <catStat type="freq">
          412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1602
        </catValu>
        <labl>
          South Tripura
        </labl>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1603
        </catValu>
        <labl>
          Dhalai
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1604
        </catValu>
        <labl>
          North Tripura
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1701
        </catValu>
        <labl>
          West Garo Hills
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1702
        </catValu>
        <labl>
          East Garo Hills
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1703
        </catValu>
        <labl>
          South Garo Hills
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1704
        </catValu>
        <labl>
          West Khasi Hills
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1705
        </catValu>
        <labl>
          Ri Bhoi
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1706
        </catValu>
        <labl>
          East Khasi Hills
        </labl>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1707
        </catValu>
        <labl>
          Jaintia Hills
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Kokrajhar
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Dhubri
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Goalpara
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1804
        </catValu>
        <labl>
          Bongaigaon
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1805
        </catValu>
        <labl>
          Barpeta
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1806
        </catValu>
        <labl>
          Kamrup
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1807
        </catValu>
        <labl>
          Nalbari
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1808
        </catValu>
        <labl>
          Darrang
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1809
        </catValu>
        <labl>
          Marigaon
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1810
        </catValu>
        <labl>
          Nagaon
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1811
        </catValu>
        <labl>
          Sonitpur
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1812
        </catValu>
        <labl>
          Lakhimpur
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1813
        </catValu>
        <labl>
          Dhemaji
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1814
        </catValu>
        <labl>
          Tinsukia
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1815
        </catValu>
        <labl>
          Dibrugarh
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1816
        </catValu>
        <labl>
          Sibsagar
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1817
        </catValu>
        <labl>
          Jorhat
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1818
        </catValu>
        <labl>
          Golaghat
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1819
        </catValu>
        <labl>
          Karbi Anglong
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1820
        </catValu>
        <labl>
          North Cachar Hills
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1821
        </catValu>
        <labl>
          Cachar
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1822
        </catValu>
        <labl>
          Karimganj
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1823
        </catValu>
        <labl>
          HaiLakandi
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Darjiling
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Jalpaiguri
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Koch Bihar
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Uttar Dinajpur
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Dakshin Dinajpur
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1906
        </catValu>
        <labl>
          Maldah
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1907
        </catValu>
        <labl>
          Murshidabad
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1908
        </catValu>
        <labl>
          Birbhum
        </labl>
        <catStat type="freq">
          108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1909
        </catValu>
        <labl>
          Barddhaman
        </labl>
        <catStat type="freq">
          243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Nadia
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          North 24-Parganas
        </labl>
        <catStat type="freq">
          352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Hugli
        </labl>
        <catStat type="freq">
          180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1913
        </catValu>
        <labl>
          Bankura
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1914
        </catValu>
        <labl>
          Puruliya
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1915
        </catValu>
        <labl>
          Medinipur
        </labl>
        <catStat type="freq">
          204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1916
        </catValu>
        <labl>
          Howrah
        </labl>
        <catStat type="freq">
          192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1917
        </catValu>
        <labl>
          Kolkata
        </labl>
        <catStat type="freq">
          256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1918
        </catValu>
        <labl>
          South 24-Parganas
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          Garhwa
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          Palamu
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          Chatra
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          Hazaribag
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          Kodarma
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          Giridih
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          Deoghar
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          Godda
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          Sahibganj
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          Pakaur
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          Dumka
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          Dhanbad
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          Bokaro
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          Ranchi
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          Lohardaga
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          Gumla
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl><![CDATA[Singhbhum  (W)]]></labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2018
        </catValu>
        <labl><![CDATA[Singhbhum    (E)]]></labl>
        <catStat type="freq">
          119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Bargarh
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Jharsuguda
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Sambalpur
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2104
        </catValu>
        <labl>
          Debagarh
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2105
        </catValu>
        <labl>
          Sundargarh
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2106
        </catValu>
        <labl>
          Kendujhar
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2107
        </catValu>
        <labl>
          Mayurbhanj
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2108
        </catValu>
        <labl>
          Baleshwar
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2109
        </catValu>
        <labl>
          Bhadrak
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Kendrapara
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Jagatsinghapur
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Cuttack
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Jajapur
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2114
        </catValu>
        <labl>
          Dhenkanal
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2115
        </catValu>
        <labl>
          Anugul
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2116
        </catValu>
        <labl>
          Nayagarh
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2117
        </catValu>
        <labl>
          Khordha
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2118
        </catValu>
        <labl>
          Puri
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2119
        </catValu>
        <labl>
          Ganjam
        </labl>
        <catStat type="freq">
          108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Gajapati
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Kandhamal ( Phoolbani )
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2122
        </catValu>
        <labl>
          Baudh
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2123
        </catValu>
        <labl>
          Sonapur
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2124
        </catValu>
        <labl>
          Balangir
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2125
        </catValu>
        <labl>
          Nuapada
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2126
        </catValu>
        <labl>
          Kalahandi
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2127
        </catValu>
        <labl>
          Rayagada
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2128
        </catValu>
        <labl>
          Nabarangapur
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2129
        </catValu>
        <labl>
          Koraput
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Malkangiri
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Koriya
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Surguja
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Jashpur
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Raigarh
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Korba
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2206
        </catValu>
        <labl>
          Janjgir-Champa
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2207
        </catValu>
        <labl>
          Bilaspur
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2208
        </catValu>
        <labl>
          Kawardha
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2209
        </catValu>
        <labl>
          Rajnandgaon
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Durg
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Raipur
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Mahasamund
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Dhamtari
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2214
        </catValu>
        <labl>
          Kanker
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2215
        </catValu>
        <labl>
          Bastar
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2216
        </catValu>
        <labl>
          Dantewada
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Sheopur
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Morena
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2303
        </catValu>
        <labl>
          Bhind
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2304
        </catValu>
        <labl>
          Gwalior
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2305
        </catValu>
        <labl>
          Datia
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2306
        </catValu>
        <labl>
          Shivpuri
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2307
        </catValu>
        <labl>
          Guna
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2308
        </catValu>
        <labl>
          Tikamgarh
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2309
        </catValu>
        <labl>
          Chhatarpur
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Panna
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Sagar
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Damoh
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Satna
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2314
        </catValu>
        <labl>
          Rewa
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2315
        </catValu>
        <labl>
          Umaria
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2316
        </catValu>
        <labl>
          Shahdol
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2317
        </catValu>
        <labl>
          Sidhi
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2318
        </catValu>
        <labl>
          Neemuch
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2319
        </catValu>
        <labl>
          Mandsaur
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Ratlam
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Ujjain
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2322
        </catValu>
        <labl>
          Shajapur
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2323
        </catValu>
        <labl>
          Dewas
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2324
        </catValu>
        <labl>
          Jhabua
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2325
        </catValu>
        <labl>
          Dhar
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2326
        </catValu>
        <labl>
          Indore
        </labl>
        <catStat type="freq">
          154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2327
        </catValu>
        <labl>
          W. Nimar
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2328
        </catValu>
        <labl>
          Barwani
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2329
        </catValu>
        <labl>
          E. Nimar
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Rajgarh
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2331
        </catValu>
        <labl>
          Vidisha
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2332
        </catValu>
        <labl>
          Bhopal
        </labl>
        <catStat type="freq">
          134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2333
        </catValu>
        <labl>
          Sehore
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2334
        </catValu>
        <labl>
          Raisen
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2335
        </catValu>
        <labl>
          Betul
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2336
        </catValu>
        <labl>
          Harda
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2337
        </catValu>
        <labl>
          Hoshangabad
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2338
        </catValu>
        <labl>
          Katni
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2339
        </catValu>
        <labl>
          Jabalpur
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2340
        </catValu>
        <labl>
          Narsimhapur
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2341
        </catValu>
        <labl>
          Dindori
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2342
        </catValu>
        <labl>
          Mandla
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2343
        </catValu>
        <labl>
          Chhindwara
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2344
        </catValu>
        <labl>
          Seoni
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2345
        </catValu>
        <labl>
          Balaghat
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          Kachchh
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Bans Kantha
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2403
        </catValu>
        <labl>
          Patan
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2404
        </catValu>
        <labl>
          Mahesana
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2405
        </catValu>
        <labl>
          Sabar Kantha
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2406
        </catValu>
        <labl>
          Gandhinagar
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2407
        </catValu>
        <labl>
          Ahmedabad
        </labl>
        <catStat type="freq">
          272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2408
        </catValu>
        <labl>
          Surendranagar
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2409
        </catValu>
        <labl>
          Rajkot
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Jamnagar
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Porbandar
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2412
        </catValu>
        <labl>
          Junagadh
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Amreli
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2414
        </catValu>
        <labl>
          Bhavnagar
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2415
        </catValu>
        <labl>
          Anand
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2416
        </catValu>
        <labl>
          Kheda
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2417
        </catValu>
        <labl>
          Panch Mahals
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2418
        </catValu>
        <labl>
          Dohad
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2419
        </catValu>
        <labl>
          Vadodara
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Narmada
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Bharuch
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Surat
        </labl>
        <catStat type="freq">
          192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          The Dangs
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Navsari
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2425
        </catValu>
        <labl>
          Valsad
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Diu
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Daman
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2601
        </catValu>
        <labl><![CDATA[Dadra and Nagar Havelira   ]]></labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2701
        </catValu>
        <labl>
          Nandurbar
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2702
        </catValu>
        <labl>
          Dhule
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2703
        </catValu>
        <labl>
          Jalgaon
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2704
        </catValu>
        <labl>
          Buldana
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2705
        </catValu>
        <labl>
          Akola
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2706
        </catValu>
        <labl>
          Washim
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2707
        </catValu>
        <labl>
          Amravati
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2708
        </catValu>
        <labl>
          Wardha
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2709
        </catValu>
        <labl>
          Nagpur
        </labl>
        <catStat type="freq">
          172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2710
        </catValu>
        <labl>
          Bhandara
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2711
        </catValu>
        <labl>
          Gondiya
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2712
        </catValu>
        <labl>
          Gadchiroli
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2713
        </catValu>
        <labl>
          Chandrapur
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2714
        </catValu>
        <labl>
          Yavatmal
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2715
        </catValu>
        <labl>
          Nanded
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2716
        </catValu>
        <labl>
          Hingoli
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2717
        </catValu>
        <labl>
          Parbhani
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2718
        </catValu>
        <labl>
          Jalna
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2719
        </catValu>
        <labl>
          Aurangabad
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2720
        </catValu>
        <labl>
          Nashik
        </labl>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2721
        </catValu>
        <labl>
          Thane
        </labl>
        <catStat type="freq">
          343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2722
        </catValu>
        <labl>
          Mumbai Suburban
        </labl>
        <catStat type="freq">
          638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2723
        </catValu>
        <labl>
          Mumbai
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2724
        </catValu>
        <labl>
          Raigarh
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2725
        </catValu>
        <labl>
          Pune
        </labl>
        <catStat type="freq">
          271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2726
        </catValu>
        <labl>
          Ahmadnagar
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2727
        </catValu>
        <labl>
          Bid
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2728
        </catValu>
        <labl>
          Latur
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2729
        </catValu>
        <labl>
          Osmanabad
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2730
        </catValu>
        <labl>
          Solapur
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2731
        </catValu>
        <labl>
          Satara
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2732
        </catValu>
        <labl>
          Ratnagiri
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2733
        </catValu>
        <labl>
          Sindhudurg
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2734
        </catValu>
        <labl>
          Kolhapur
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2735
        </catValu>
        <labl>
          Sangli
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2801
        </catValu>
        <labl>
          Adilabad
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2802
        </catValu>
        <labl>
          Nizamabad
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2803
        </catValu>
        <labl>
          Karimnagar
        </labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2804
        </catValu>
        <labl>
          Medak
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2805
        </catValu>
        <labl>
          Hyderabad
        </labl>
        <catStat type="freq">
          224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2806
        </catValu>
        <labl>
          Rangareddi
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2807
        </catValu>
        <labl>
          Mahbubnagar
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2808
        </catValu>
        <labl>
          Nalgonda
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2809
        </catValu>
        <labl>
          Warangal
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2810
        </catValu>
        <labl>
          Khammam
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2811
        </catValu>
        <labl>
          Srikakulam
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2812
        </catValu>
        <labl>
          Vizianagaram
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2813
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2814
        </catValu>
        <labl>
          East Godavari
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2815
        </catValu>
        <labl>
          West Godavari
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2816
        </catValu>
        <labl>
          Krishna
        </labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2817
        </catValu>
        <labl>
          Guntur
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2818
        </catValu>
        <labl>
          Prakasam
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2819
        </catValu>
        <labl>
          Nellore
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2820
        </catValu>
        <labl>
          Cuddapah
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2821
        </catValu>
        <labl>
          Kurnool
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2822
        </catValu>
        <labl>
          Anantapur
        </labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2823
        </catValu>
        <labl>
          Chittoor
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Belgaum
        </labl>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Bagalkot
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Bijapur
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Gulbarga
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2905
        </catValu>
        <labl>
          Bidar
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2906
        </catValu>
        <labl>
          Raichur
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2907
        </catValu>
        <labl>
          Koppal
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2908
        </catValu>
        <labl>
          Gadag
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2909
        </catValu>
        <labl>
          Dharwad
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2910
        </catValu>
        <labl>
          Uttara Kannada
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2911
        </catValu>
        <labl>
          Haveri
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2912
        </catValu>
        <labl>
          Bellary
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2913
        </catValu>
        <labl>
          Chitradurga
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2914
        </catValu>
        <labl>
          Davanagere
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2915
        </catValu>
        <labl>
          Shimoga
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2916
        </catValu>
        <labl>
          Udupi
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2917
        </catValu>
        <labl>
          Chikmagalur
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2918
        </catValu>
        <labl>
          Tumkur
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2919
        </catValu>
        <labl>
          Kolar
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2920
        </catValu>
        <labl>
          Bangalore
        </labl>
        <catStat type="freq">
          255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2921
        </catValu>
        <labl>
          Bangalore ( Rural )
        </labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2922
        </catValu>
        <labl>
          Mandya
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2923
        </catValu>
        <labl>
          Hassan
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2924
        </catValu>
        <labl>
          Dakshina Kannada
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2925
        </catValu>
        <labl>
          Kodagu
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2926
        </catValu>
        <labl>
          Mysore
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2927
        </catValu>
        <labl>
          Chamarajanagar
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3001
        </catValu>
        <labl>
          North Goa
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3002
        </catValu>
        <labl>
          South Goa
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3101
        </catValu>
        <labl>
          Lakshadweepshadweep
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Kasaragod
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Kannur
        </labl>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Wayanad
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3204
        </catValu>
        <labl>
          Kozhikode
        </labl>
        <catStat type="freq">
          145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3205
        </catValu>
        <labl>
          Malappuram
        </labl>
        <catStat type="freq">
          152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3206
        </catValu>
        <labl>
          Palakkad
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3207
        </catValu>
        <labl>
          Thrissur
        </labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3208
        </catValu>
        <labl>
          Ernakulam
        </labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3209
        </catValu>
        <labl>
          Idukki
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Kottayam
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Alappuzha
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3212
        </catValu>
        <labl>
          Pathanamthitta
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3213
        </catValu>
        <labl>
          Kollam
        </labl>
        <catStat type="freq">
          132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3214
        </catValu>
        <labl>
          Thiruvananthapuram
        </labl>
        <catStat type="freq">
          176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          Thiruvallur
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Chennai
        </labl>
        <catStat type="freq">
          223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          Kancheepuram
        </labl>
        <catStat type="freq">
          132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          Vellore
        </labl>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Dharmapuri
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3306
        </catValu>
        <labl>
          Tiruvanamalai
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3307
        </catValu>
        <labl>
          Viluppuram
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3308
        </catValu>
        <labl>
          Salem
        </labl>
        <catStat type="freq">
          136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3309
        </catValu>
        <labl>
          Namakkal
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Erode
        </labl>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          The Nilgiris
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Coimbatore
        </labl>
        <catStat type="freq">
          208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Dindigul
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3314
        </catValu>
        <labl>
          Karur
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3315
        </catValu>
        <labl>
          Tiruchirappalli
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3316
        </catValu>
        <labl>
          Perambalur
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3317
        </catValu>
        <labl>
          Ariyalur
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3318
        </catValu>
        <labl>
          Cuddalore
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3319
        </catValu>
        <labl>
          Nagapattinam
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3320
        </catValu>
        <labl>
          Thiruvarur
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3321
        </catValu>
        <labl>
          Thanjavur
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3322
        </catValu>
        <labl>
          Pudukkottai
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3323
        </catValu>
        <labl>
          Sivaganga
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3324
        </catValu>
        <labl>
          Madurai
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3325
        </catValu>
        <labl>
          Theni
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3326
        </catValu>
        <labl>
          Virudhunagar
        </labl>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3327
        </catValu>
        <labl>
          Ramanathapuram
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3328
        </catValu>
        <labl>
          Toothukudi
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3329
        </catValu>
        <labl>
          Tirunelveli
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3330
        </catValu>
        <labl>
          Kanniyakumari
        </labl>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Yanam
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Pondicherry
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3403
        </catValu>
        <labl>
          Mahe
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Karaikal
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3501
        </catValu>
        <labl>
          Andamans
        </labl>
        <catStat type="freq">
          172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3502
        </catValu>
        <labl>
          Nicobars
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived by concatenating the variables "State" and "District" to enable the users to easily access district wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V9" name="Stratum" files="F1" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Stratum Number
      </labl>
      <qstn>
        <qstnLit>
          Stratum Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="SubStratum" files="F1" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V11" name="SubRound" files="F1" intrvl="discrete">
      <location StartPos="40" EndPos="40" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </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">
          9670
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub-round 2
        </labl>
        <catStat type="freq">
          9891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub-round 3
        </labl>
        <catStat type="freq">
          9959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub-round 4
        </labl>
        <catStat type="freq">
          9916
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V12" name="SubSample" files="F1" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Sub - sample
      </labl>
      <qstn>
        <qstnLit>
          Sub - sample
        </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">
        39436
      </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 sample
        </labl>
        <catStat type="freq">
          20700
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          18736
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V13" name="FODSubRegion" files="F1" intrvl="discrete">
      <location StartPos="42" EndPos="45" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V14" name="SegmentNo" files="F1" intrvl="discrete">
      <location StartPos="46" EndPos="46" width="1" RecSegNo="1"/>
      <labl>
        Segment Number
      </labl>
      <qstn>
        <qstnLit>
          Segment Number
        </qstnLit>
        <ivuInstr><![CDATA[Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.

Listing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.

Formation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.

A large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's/sb's formed in the FSU, two hg's/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg/sb may be selected randomly and termed as Segment 2. 

Listing and selection of households/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg/sb formation will not have segment 2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V15" name="Stage2_Stratum" files="F1" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
        <ivuInstr>
          Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V16" name="Hhold_no" files="F1" dcml="0" intrvl="contin">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <qstn>
        <qstnLit>
          Sample Household Number
        </qstnLit>
        <ivuInstr><![CDATA[Sample household number:  The sample household number (i.e., order of selection)  of the selected household is to be copied from column (11) or (12) of block 5a of Schedule 0.0.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        1.328
      </sumStat>
      <sumStat type="stdev">
        0.522
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V17" name="Lvl" files="F1" intrvl="discrete">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <qstn>
        <qstnLit>
          Level
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          39436
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V18" name="Informant_Slno" files="F1" dcml="0" intrvl="contin">
      <location StartPos="51" EndPos="52" width="2" RecSegNo="1"/>
      <labl>
        Serial No. of informant
      </labl>
      <qstn>
        <qstnLit>
          Serial No. of informant
        </qstnLit>
        <ivuInstr><![CDATA[Serial no. of informant : 
The srl. no. of the person recorded  in column 1 of block 4, Schedule 1.0 from whom the bulk of the information is collected will be entered. Information has to be collected from one of the household members. In an extreme case, information may be collected from a person other than the household member who is supposed to know all the requisite information. In such case, '99' should be recorded against this item.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        39405
      </sumStat>
      <sumStat type="invd">
        31
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        1.871
      </sumStat>
      <sumStat type="stdev">
        3.813
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V19" name="Resp_Code" files="F1" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Response Code
      </labl>
      <qstn>
        <qstnLit>
          Response Code
        </qstnLit>
        <ivuInstr><![CDATA[This item is to be filled in at the end of the interview. It is meant to classify the informant according to the degree of his co-operation as well as his capability to provide the required information.  The codes are:  
informant:	co-operative and capable……….	1	busy…………….	3	
	co-operative but not capable…….	2	reluctant………	4	
			others………….	9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        39436
      </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>
          1
        </catValu>
        <labl><![CDATA[ informant : cooperative and  capable]]></labl>
        <catStat type="freq">
          30183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          informant : cooperative but not capable
        </labl>
        <catStat type="freq">
          8038
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          informant : busy
        </labl>
        <catStat type="freq">
          591
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          informant : reluctant
        </labl>
        <catStat type="freq">
          550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V20" name="Survey_Code" files="F1" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <qstn>
        <qstnLit>
          Survey Code
        </qstnLit>
        <ivuInstr><![CDATA[Whether the originally selected sample household has been surveyed or a substituted household has been surveyed will be indicated against this item by recording '1', if the sample household is the one originally selected, and '2', if it is a substituted household.  If neither the originally selected household nor the substituted household could be surveyed i.e., if the sample household is a casualty, code '3' will be recorded.  In such cases only blocks 0, 1, 2, 14 and 15 will be filled in and on the top of the front page of the schedule the word 'CASUALTY' will be written and underlined.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        39436
      </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">
          37894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          substitute
        </labl>
        <catStat type="freq">
          1542
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          casualty
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V21" name="Substn_Code" files="F1" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        Substitution Code
      </labl>
      <qstn>
        <qstnLit>
          Substitution Code
        </qstnLit>
        <ivuInstr><![CDATA[In case the originally selected sample household could not be surveyed, the reason for not surveying the original household will be recorded against this item, irrespective of whether a substituted household could be surveyed or not.  The codes are: 
informant busy ...................................................1
members away from home .................................2
informant non-cooperative .................................3
others ...................................................... ...........9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        1542
      </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>
          1
        </catValu>
        <labl>
          informant busy
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          members away from home
        </labl>
        <catStat type="freq">
          1130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          informant non-cooperative
        </labl>
        <catStat type="freq">
          253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V22" name="DateOfSurvey" files="F1" intrvl="discrete">
      <location StartPos="56" EndPos="61" width="6" RecSegNo="1"/>
      <labl>
        Date of Survey
      </labl>
      <qstn>
        <qstnLit>
          Date of Survey
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39435
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V23" name="DateOfDespatch" files="F1" intrvl="discrete">
      <location StartPos="62" EndPos="67" width="6" RecSegNo="1"/>
      <labl>
        Date of Despatch
      </labl>
      <qstn>
        <qstnLit>
          Date of Despatch
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39369
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V24" name="TimeToCanvass" files="F1" intrvl="discrete">
      <location StartPos="68" EndPos="70" width="3" RecSegNo="1"/>
      <labl>
        Time to canvass (mins.)
      </labl>
      <qstn>
        <qstnLit>
          Time to canvass (mins.)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39380
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V25" name="NSS" files="F1" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V26" name="NSC" files="F1" intrvl="discrete">
      <location StartPos="73" EndPos="75" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V27" name="MLT" files="F1" dcml="2" intrvl="contin">
      <location StartPos="76" EndPos="84" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <qstn>
        <qstnLit>
          Multiplier
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.51" max="703464.23"/>
      </valrng>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.51
      </sumStat>
      <sumStat type="max">
        703464.23
      </sumStat>
      <sumStat type="mean">
        10561.061
      </sumStat>
      <sumStat type="stdev">
        22867.154
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V29" name="WGT_SS" wgt="wgt" files="F1" dcml="2" intrvl="contin">
      <location StartPos="85" EndPos="91" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0051" max="7034.6423"/>
      </valrng>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0051
      </sumStat>
      <sumStat type="max">
        7034.642
      </sumStat>
      <sumStat type="mean">
        105.611
      </sumStat>
      <sumStat type="stdev">
        228.672
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V30" name="WGT_SS_Combined" wgt="wgt" files="F1" dcml="2" intrvl="contin">
      <location StartPos="92" EndPos="98" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.00255" max="3517.32115"/>
      </valrng>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.00255
      </sumStat>
      <sumStat type="max">
        3517.321
      </sumStat>
      <sumStat type="mean">
        52.929
      </sumStat>
      <sumStat type="stdev">
        114.357
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V74" name="HHID" files="F2" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a household
      </labl>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, segment number, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V33" name="CentreCodeRoundShift" files="F2" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre code, Round, Shift
      </labl>
      <qstn>
        <qstnLit>
          Centre code, Round, Shift
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V34" name="Vill_Blk_Slno" files="F2" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </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. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V35" name="Round" files="F2" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          62
        </catValu>
        <catStat type="freq">
          39436
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V36" name="ScheduleNumber" files="F2" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          010
        </catValu>
        <catStat type="freq">
          39436
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V37" name="Sample" files="F2" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V38" name="Sector" files="F2" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </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">
        39436
      </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">
          18992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          20444
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V39" name="St_Region" files="F2" intrvl="discrete">
      <location StartPos="25" EndPos="27" 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">
        39436
      </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="V70" name="State" files="F2" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          1403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          2078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          3821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          2011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          380
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          1392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          2743
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          1508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          2036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          1652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          3171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          2682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          1593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          1657
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          2682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          188
        </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="V40" name="District" files="F2" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
        <ivuInstr>
          District to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V41" name="Stratum" files="F2" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum Number
      </labl>
      <qstn>
        <qstnLit>
          Stratum Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V42" name="SubStratum" files="F2" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V43" name="SubRound" files="F2" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </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">
          9670
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub-round 2
        </labl>
        <catStat type="freq">
          9891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub-round 3
        </labl>
        <catStat type="freq">
          9959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub-round 4
        </labl>
        <catStat type="freq">
          9916
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V44" name="SubSample" files="F2" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub - sample
      </labl>
      <qstn>
        <qstnLit>
          Sub - sample
        </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">
        39436
      </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 sample
        </labl>
        <catStat type="freq">
          20700
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          18736
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V45" name="FODSubRegion" files="F2" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V46" name="SegmentNo" files="F2" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Segment Number
      </labl>
      <qstn>
        <qstnLit>
          Segment Number
        </qstnLit>
        <ivuInstr><![CDATA[Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.

Listing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.

Formation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.

A large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's/sb's formed in the FSU, two hg's/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg/sb may be selected randomly and termed as Segment 2. 

Listing and selection of households/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg/sb formation will not have segment 2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V47" name="Stage2_Stratum" files="F2" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
        <ivuInstr>
          Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V48" name="Hhold_no" files="F2" dcml="0" intrvl="contin">
      <location StartPos="44" EndPos="44" width="1" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <qstn>
        <qstnLit>
          Sample Household Number
        </qstnLit>
        <ivuInstr><![CDATA[Sample household number:  The sample household number (i.e., order of selection)  of the selected household is to be copied from column (11) or (12) of block 5a of Schedule 0.0.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        1.328
      </sumStat>
      <sumStat type="stdev">
        0.522
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V49" name="Level" files="F2" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <qstn>
        <qstnLit>
          Level
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          39436
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V50" name="B3_q1" files="F2" dcml="0" intrvl="contin">
      <location StartPos="47" EndPos="48" width="2" RecSegNo="1"/>
      <labl>
        Household Size
      </labl>
      <qstn>
        <qstnLit>
          How many members are there in the household?
        </qstnLit>
        <ivuInstr>
          The size of the sample household i.e., the total number of persons normally residing together (i.e., under the same roof) and taking food from the same kitchen (including temporary stay-aways and excluding temporary visitors) will be recorded against this item. This number will be the same as the last serial number recorded in column 1 of block 4.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="39"/>
      </valrng>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        39
      </sumStat>
      <sumStat type="mean">
        4.818
      </sumStat>
      <sumStat type="stdev">
        2.626
      </sumStat>
      <txt>
        The size of the sample household i.e., the total number of persons normally residing together (i.e., under the same roof) and taking food from the same kitchen (including temporary stay-aways and excluding temporary visitors) will be recorded against this item.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V51" name="B3_q2" files="F2" intrvl="discrete">
      <location StartPos="49" EndPos="53" width="5" RecSegNo="1"/>
      <labl>
        NIC Code(5-digit)
      </labl>
      <qstn>
        <qstnLit>
          Which industry are you working in?
        </qstnLit>
        <ivuInstr>
          The description of the principal industry should be recorded in as specific terms as possible based on the description given by the informant. In other words, the industry description should not be copied from the NIC booklet if the informant's description gives a clearer idea of the industrial activity which determines the principal industry of the household. The entry cell for item 2 has been split into five parts for recording each digit separately. The appropriate five-digit industry code of the NIC-2004 will be recorded here. For households deriving income from non-economic activities only, a dash (-) may be put against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        36972
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The description of the principal household industry has been recorded in the space provided.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V52" name="B3_q3" files="F2" intrvl="discrete">
      <location StartPos="54" EndPos="56" width="3" RecSegNo="1"/>
      <labl>
        NCO Code(3-digit)
      </labl>
      <qstn>
        <qstnLit>
          Which occupation are you in?
        </qstnLit>
        <ivuInstr>
          As in case of principal household industry, the description of the principal occupation, too, should be recorded in as specific terms as possible based on the description given by the informant. In other words, the occupation description should not be copied from the NCO booklet if the informant's description gives a clearer idea of the principal occupation pursued by the household. The appropriate three-digit occupation code of the NCO-1968 is to be recorded in the entry cell, which has been trisected for recording each digit separately. For households deriving income from non-economic activities only, a dash (-) may be put against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        36963
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The description of the principal household occupation has been recorded in the space provided.
      </txt>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          Physicist
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          001
        </catValu>
        <labl>
          Chemists(excluding pharmaceutical chemists)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          002
        </catValu>
        <labl>
          Geologists and geophysicists
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          003
        </catValu>
        <labl>
          Meteorologist
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          009
        </catValu>
        <labl>
          Physical scientists, n.e.c.
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010
        </catValu>
        <labl>
          Physical science technicians
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          020
        </catValu>
        <labl>
          Architects and town planners
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          021
        </catValu>
        <labl>
          Civil engineers
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          022
        </catValu>
        <labl>
          Electrical and electronic engineers
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          023
        </catValu>
        <labl>
          Mechanical engineers
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          024
        </catValu>
        <labl>
          Chemical engineers
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          025
        </catValu>
        <labl>
          Metallurgists
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          026
        </catValu>
        <labl>
          Mining engineers
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          027
        </catValu>
        <labl>
          Industrial engineers
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          028
        </catValu>
        <labl>
          Surveyors
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          029
        </catValu>
        <labl>
          Architects, engineers, technologists and surveyors, n.e.c.
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          030
        </catValu>
        <labl>
          Draughtsmen
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          031
        </catValu>
        <labl>
          Civil engineering overseers and technicians
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          032
        </catValu>
        <labl>
          Electrical and electronic engineering overseers and technicians
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          033
        </catValu>
        <labl>
          Mechanical engineering overseers and technicians
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          034
        </catValu>
        <labl>
          Chemical engineering technicians
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          035
        </catValu>
        <labl>
          Metallurgical technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          036
        </catValu>
        <labl>
          Mining technicians
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          037
        </catValu>
        <labl>
          Survey technicians
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          039
        </catValu>
        <labl>
          Engineering technicians, n.e.c.
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          040
        </catValu>
        <labl>
          Aircraft pilots
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          041
        </catValu>
        <labl>
          Flight engineers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          042
        </catValu>
        <labl>
          Flight navigators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          043
        </catValu>
        <labl>
          Ship's deck officers and pilots
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          044
        </catValu>
        <labl>
          Ships engineers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          049
        </catValu>
        <labl>
          Aircraft and ship's officers, n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          050
        </catValu>
        <labl>
          Biologists, zoologists, botanists and related scientists
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          051
        </catValu>
        <labl>
          Bacteriologists, pharmacologists &amp;related scientists
        </labl>
        <catStat type="freq">
          8
        </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">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          059
        </catValu>
        <labl>
          Life scientists, n.e.c.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          060
        </catValu>
        <labl>
          Life science technicians
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          070
        </catValu>
        <labl>
          Physicians and surgeons, allopathic
        </labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          071
        </catValu>
        <labl>
          Physicians and surgeons, ayurvedic
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          072
        </catValu>
        <labl>
          Physicians and surgeons, homoeopathic
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          073
        </catValu>
        <labl>
          Physician and surgeons, unani
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          074
        </catValu>
        <labl>
          Dental surgeons
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          075
        </catValu>
        <labl>
          Veterinarians
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          076
        </catValu>
        <labl>
          Pharmacists
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          077
        </catValu>
        <labl>
          Dieticians and nutritionists
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          078
        </catValu>
        <labl>
          Public health physicians
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          079
        </catValu>
        <labl>
          Physicians and surgeons, n.e.c.
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          080
        </catValu>
        <labl>
          Vaccinators, inoculators and medical assistants
        </labl>
        <catStat type="freq">
          17
        </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">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          083
        </catValu>
        <labl>
          Pharmaceutical assistants
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          084
        </catValu>
        <labl>
          Nurses
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          085
        </catValu>
        <labl>
          Midwives and health visitors
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          086
        </catValu>
        <labl>
          X - ray technicians
        </labl>
        <catStat type="freq">
          5
        </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">
          65
        </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">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Actuaries
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          System analysts and programmers
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Statistical investigators and related workers
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          Mathematicians, statisticians &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Economists
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Economic investigators and related workers
        </labl>
        <catStat type="freq">
          0
        </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">
          119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Cost and works accountants
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          Accountants, auditors and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Sociologists and anthropologists
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Historians, archeologists &amp; political scientists &amp; related workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Geographers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Psychologists
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Librarians, archivists and curators
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Philologists, translators and interpreters
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Personnel and occupational specialists
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          Labour, social welfare &amp; political workers
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Social scientists and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Lawyers
        </labl>
        <catStat type="freq">
          118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Judges and magistrates
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Legal assistants
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          Jurists, n.e.c.
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Teachers, university and colleges
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Teachers, higher secondary &amp; secondary schools
        </labl>
        <catStat type="freq">
          436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Teachers, middle school
        </labl>
        <catStat type="freq">
          188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Teachers, primary
        </labl>
        <catStat type="freq">
          492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Teachers, pre-primary
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Teachers, special education
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          Teachers, craft
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          Teachers, n.e.c.
        </labl>
        <catStat type="freq">
          86
        </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">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          Poets, authors, journalists and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Sculptors, painters and related artists
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Commercial artists, interior decorators&amp; designers
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Movie camera operators
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Photographers, other
        </labl>
        <catStat type="freq">
          25
        </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">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Choreographers and dancers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Actors
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Stage &amp; film directors &amp; producers(performing arts)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Circus performers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          Composers and performing artists, n.e.c.
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          Ordained religious workers
        </labl>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Non - ordained religious workers
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Astrologers, palmists and related workers
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Athletes, sportsmen and related workers
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Professional workers n.e.c.
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Elected officials, union government
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Elected officials, state government
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Elected officials, local bodies
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Elected officials, n.e.c.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Administrative &amp; executive officials, union govt
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Administrative &amp; executive officials, state government
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Administrative&amp; executive officials, quasi government
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Administrative &amp;executive officials, local bodies
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Administrative &amp;executive officials, govt &amp; local bodies, n.e.c.
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Working proprietors, directors &amp; managers, wholesale trade
        </labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Working proprietors, directors &amp; managers, retail trade
        </labl>
        <catStat type="freq">
          438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          Working proprietors, directors and managers wholesale &amp; retail trade, n.e.c.
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Directors and managers, bank
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Directors and managers, insurance
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Directors and managers, financial institution n.e.c.
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Working proprietors, directors &amp;managers, mining, quarrying and well drilling
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Working proprietors, directors &amp; managers, construction
        </labl>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Working proprietors, directors &amp; managers, electricity, gas and water
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Working proprietors, directors &amp; managers, manufacturing
        </labl>
        <catStat type="freq">
          638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          Manufacturing and related concerns, n.e.c.
        </labl>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Working proprietors, directors, managers &amp; related executives, transport
        </labl>
        <catStat type="freq">
          161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Directors, managers &amp; related executives, communication
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Working proprietors, directors, managers &amp; related executives, storage and warehouse
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Storage and communication, n.e.c.
        </labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Working proprietors, directors &amp; managers, lodging &amp; catering services
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Working props, dirs &amp; managers, recreation &amp; entertain
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          Working proprietors, directors, managers,&amp; related executives, other services
        </labl>
        <catStat type="freq">
          221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Administrative, executive &amp;ma nagerial workers, n.e.c.
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Clerical supervisors(office superintendents), head clerks, section heads
        </labl>
        <catStat type="freq">
          145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Other supervisors (inspectors, etc.)
        </labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Ministerial and office assistants
        </labl>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Clerical and other supervisors, other
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Village officials
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Stenographers and steno-typists
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Typists
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Tele-typists
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Card &amp; tapepunching machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          Stenographer, typist &amp; card &amp; tape punching operators, n.e.c.
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Book keepers and accounts clerks
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Cashiers
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          Bookkeepers, cashiers &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Book-keeping &amp; calculating machine operators
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Automatic data processing machine operators
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          Computing machine operators, n.e.c.
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Clerks, general
        </labl>
        <catStat type="freq">
          743
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Store keeper and related workers
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Receptionists
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Library clerks
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          Time keepers
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          Coders
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          Ticket sellers
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          Ticket collectors, checkers and examiners
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          Office attendants(peons, daftries, etc.)
        </labl>
        <catStat type="freq">
          500
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          Clerical &amp; related workers(including proof readers &amp; copy holders), n.e.c.
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Station masters and station superintendents, transport
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          Postmasters, telegraph masters and other supervisors
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          Transport &amp; communication supervisor, n.e.c.
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Guards and breaks men, railway
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Conductors, transport
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          Transport conductors and guards, n.e.c.
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Postmen
        </labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          Messengers and dispatch riders
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          Mail distributors and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Telephone operators
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          Telegraphists and signallers
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Radio communication and wireless operators
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Telephone and telegraph operators, n.e.c.
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Merchants and shopkeepers, wholesale trade
        </labl>
        <catStat type="freq">
          317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Merchants and shopkeepers, retail trade
        </labl>
        <catStat type="freq">
          2727
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          Merchants &amp; shop keepers &amp; wholesale &amp; retail trade, n.e.c.
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Sales supervisors
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Purchasing agents
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Selling agents
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Manufacturers agents, n.e.c.
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Technical salesmen and service advisors
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Commercial travellers
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          Technical salesmen and commercial travellers, n.e.c.
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Salesmen, shop assistants and demonstrators
        </labl>
        <catStat type="freq">
          516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Street vendors, canvassers and news vendors
        </labl>
        <catStat type="freq">
          470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          Salesmen, shop assistants &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Agents and salesmen, insurance
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          Agents, brokers and salesmen, real estate
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Agents and brokers, securities and shares
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          Agents, brokers &amp; salesmen, advertising &amp; other business services
        </labl>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          Auctioneers
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          Valuers and appraisers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          Insurance, real estate, securities &amp; business services, salesmen &amp; auctioneers, n.e.c.
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Money lenders (including indigenous bankers)
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Pawn brokers
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          Money lenders and pawn brokers, n.e.c.
        </labl>
        <catStat type="freq">
          6
        </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">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          House keepers, matrons and stewards
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Cooks and cook bearers
        </labl>
        <catStat type="freq">
          154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Butlers, bearers and waiters
        </labl>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Bartenders and related workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          Cooks, waiters and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Ayahs, nurse, maids
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Domestic servants
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          Maids and related housekeeping service workers, n.e.c.
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Building caretakers
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          Sweepers, cleaners and related workers
        </labl>
        <catStat type="freq">
          222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          542
        </catValu>
        <labl>
          Watermen
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          549
        </catValu>
        <labl>
          Building caretakers, sweepers, cleaners &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Laundrymen, washermen and dhobis
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Dry cleaners and pressers
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          Launderers, dry cleaners and pressers, n.e.c.
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Hair dressers, barbers, beauticians &amp; related workers
        </labl>
        <catStat type="freq">
          137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Fire fighters
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          571
        </catValu>
        <labl>
          Policemen and detectives
        </labl>
        <catStat type="freq">
          354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          572
        </catValu>
        <labl>
          Customs examiners, patrollers &amp; related workers
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          573
        </catValu>
        <labl>
          Protection force, home guard and security workers
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          Watchmen, chowkidars and gate keepers
        </labl>
        <catStat type="freq">
          283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          579
        </catValu>
        <labl>
          Protective service workers, n.e.c.
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          590
        </catValu>
        <labl>
          Guides
        </labl>
        <catStat type="freq">
          6
        </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">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Farm managers &amp; supervisors, crop production
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Manager, plantation
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Farm managers, horticulture
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Farm manager, livestock farm
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Farm manager, dairy farm
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          605
        </catValu>
        <labl>
          Farm manager, poultry farm
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          Farm managers and supervisors, n.e.c.
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Cultivators (owners)
        </labl>
        <catStat type="freq">
          9167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Cultivators (tenants)
        </labl>
        <catStat type="freq">
          251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          Cultivators, n.e.c.
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Planters
        </labl>
        <catStat type="freq">
          410
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Livestock farmers
        </labl>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Dairy farmers
        </labl>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          623
        </catValu>
        <labl>
          Poultry farmers
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          624
        </catValu>
        <labl>
          Insect rearers
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          625
        </catValu>
        <labl>
          Orchard, vineyard and related workers
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          629
        </catValu>
        <labl>
          Farmers, other than cultivators, n.e.c.
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Agricultural labourers
        </labl>
        <catStat type="freq">
          2632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Plantation labourers
        </labl>
        <catStat type="freq">
          226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Tappers (palm, rubber trees, etc.)
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          Plantation labourers and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Farm machinery operators
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Farm workers, animal, birds and insect rearing
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Gardeners and nursery workers
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Other farm workers, n.e.c.
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Foresters and related workers
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          661
        </catValu>
        <labl>
          Harvesters &amp; gatherers of forest products including lac (except logs)
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Log fellers and wood cutters
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Charcoal burners &amp; forest product processors
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          669
        </catValu>
        <labl>
          Loggers and other forestry workers, n.e.c.
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Hunters
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          671
        </catValu>
        <labl>
          Trappers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          679
        </catValu>
        <labl>
          Hunters and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Fishermen, deep sea
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          681
        </catValu>
        <labl>
          Fishermen, inland and coastal waters
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Conch &amp; shell gatherers, sponge &amp; pearl divers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          689
        </catValu>
        <labl>
          Fishermen and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Supervisor &amp; foreman, mining, quarrying, well drilling &amp; related activities
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Miners
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Quarrymen
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Drillers, mines and quarries
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Shot firers
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          715
        </catValu>
        <labl>
          Miners and quarrymen, other
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Well drillers, petroleum and gas
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          717
        </catValu>
        <labl>
          Well drillers, other than petroleum and gas
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          718
        </catValu>
        <labl>
          Mineral treaters
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          719
        </catValu>
        <labl>
          Miners, quarrymen &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Supervisors &amp; foremen, metal smelting converting refining
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Metal smelting, converting &amp; refining furnace men
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Metal rolling mill workers
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Metal melters and reheaters
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Metal casters
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          725
        </catValu>
        <labl>
          Metal moulder and core makers
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          726
        </catValu>
        <labl>
          Metal annealers, temperers and case hardeners
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          727
        </catValu>
        <labl>
          Metal drawers and extruders
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          Metal platters and coaters
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Metal processors, n.e.c.
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          730
        </catValu>
        <labl>
          Supervisor &amp; foreman, wood preparation &amp; paper making
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Wood treaters
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Sawyers, plywood makers &amp; related wood processing workers
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl>
          Paper pulp preparers
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          734
        </catValu>
        <labl>
          Paper makers
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          739
        </catValu>
        <labl>
          Wood preparation and paper making workers n.e.c.
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Supervisor &amp; foreman, chemical processing &amp; related activities
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Crushers, grinders and mixers
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Cookers, roasters and related heat treaters
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Filter and separator operators
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Still and reactor operators
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          745
        </catValu>
        <labl>
          Petroleum refining workers
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Chemical processors and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          Supervisors &amp; foremen, spinning, weaving, knitting, dyeing &amp; related processes
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Fibre preparers
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Spinners and winders
        </labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Warpers and sizers
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          754
        </catValu>
        <labl>
          Weaving &amp; knitting machine setters &amp; pattern card preparers
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          755
        </catValu>
        <labl>
          Weavers and related workers
        </labl>
        <catStat type="freq">
          278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Carpet makers and finishers
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          757
        </catValu>
        <labl>
          Knitters
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          758
        </catValu>
        <labl>
          Bleachers, dyers and textile product finishers
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          759
        </catValu>
        <labl>
          Spinners, weavers,k nitters,dyers &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Supervisors &amp; foremen, tanning &amp; pelt dressing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          761
        </catValu>
        <labl>
          Tanners and fell mongers
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Pelt dressers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          769
        </catValu>
        <labl>
          Fell mongers and pelt dressers, n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          770
        </catValu>
        <labl>
          Supervisors &amp; foremen, food &amp; beverage processing
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          771
        </catValu>
        <labl>
          Grain millers, parchers and related workers
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Crushers and pressers, oil seeds
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          773
        </catValu>
        <labl>
          Khandsari, sugar and gur makers
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          774
        </catValu>
        <labl>
          Butchers and meat preparers
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          775
        </catValu>
        <labl>
          Food preservers and canners
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          776
        </catValu>
        <labl>
          Dairy product processors
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          777
        </catValu>
        <labl>
          Bakers, confectioners, candy &amp; sweet meat makers, other food processors
        </labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          778
        </catValu>
        <labl>
          Tea, coffee &amp; cocoa prepares
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          779
        </catValu>
        <labl>
          Brewers &amp; aerated water &amp; beverage makers
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          Supervisors &amp; foremen tobacco &amp; tobacco product makers
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          781
        </catValu>
        <labl>
          Tobacco prepares
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          782
        </catValu>
        <labl>
          Cigar makers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          783
        </catValu>
        <labl>
          Cigarette makers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          Bidi makers
        </labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          789
        </catValu>
        <labl>
          Tobacco prepares and tobacco product makers, n.e.c.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          790
        </catValu>
        <labl>
          Supervisors &amp; foremen, tailoring, dress making, sewing, upholsterywork
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          791
        </catValu>
        <labl>
          Tailors and dress makers
        </labl>
        <catStat type="freq">
          401
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Fur tailors and related workers
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          793
        </catValu>
        <labl>
          Milliners, hat and cap makers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          794
        </catValu>
        <labl>
          Pattern makers and cutters
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Sewers and embroiders
        </labl>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          796
        </catValu>
        <labl>
          Upholsterers and related workers
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          799
        </catValu>
        <labl>
          Tailors, dressmakers, sewers, upholsterers &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Supervisor &amp; foremen, shoe &amp; leather goods making
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Shoe makers &amp; shoe repairers
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Shoe cutters, lasters, sewers and related workers
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Harness and saddle makers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          809
        </catValu>
        <labl>
          Leather, cutters, lasters &amp; sewers &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          810
        </catValu>
        <labl>
          Supervisors, foremen, carpentery, cabinet making related wood working processes
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Carpenter
        </labl>
        <catStat type="freq">
          302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Cabinet makers
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Wood working machine operators
        </labl>
        <catStat type="freq">
          10
        </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">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Shipwrights and boat builders
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          819
        </catValu>
        <labl>
          Carpenters, cabinet makers &amp; related workers,n.e.c.
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          820
        </catValu>
        <labl>
          Supervisors and foremen, stone cutting and carving
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Stone cutter and carvers
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Stone cutters and carvers, n.e.c.
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Supervisors &amp; foremen, blacksmithy, tool making and machine tool operations
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Blacksmiths, hammersmiths &amp; forgin g press operators
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Metal markers
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Tool makers and metal pattern makers
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Machine tool setters
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          835
        </catValu>
        <labl>
          Machine tool operators
        </labl>
        <catStat type="freq">
          121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          836
        </catValu>
        <labl>
          Metal grinders, polishers and tool sharpeners
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          839
        </catValu>
        <labl>
          Blacksmiths, toolmakers, machine tool operators, n.e.c.
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          Supervisors &amp; foreman, machinery fitting, assembling, reparing &amp; precision instrument making (except electrical)
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          841
        </catValu>
        <labl>
          Watch, clock &amp; precision instrument makers (except electrical)
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          842
        </catValu>
        <labl>
          Machinery fitters and machine assemblers
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          843
        </catValu>
        <labl>
          Motor vehicle mechanics
        </labl>
        <catStat type="freq">
          183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          844
        </catValu>
        <labl>
          Aircraft engine mechanics
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          845
        </catValu>
        <labl>
          Mechanics, repairmen, other
        </labl>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          849
        </catValu>
        <labl>
          Machinery fitters, machine assemblers &amp; precision instrument makers(except electrical), n.e.c.
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          Supervisors &amp; foremen, electrical &amp; electronic equipment fitting, assembling, installing &amp; repairing
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Electricians, electrical fitters and related workers
        </labl>
        <catStat type="freq">
          186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Electronics fitters
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Electric and electronic equipment assemblers
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Radio television mechanics and repairmen
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          855
        </catValu>
        <labl>
          Electrical wiremen
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          856
        </catValu>
        <labl>
          Telephone and telegraph installers and repairmen
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          857
        </catValu>
        <labl>
          Electric linemen and cable jointers
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          859
        </catValu>
        <labl>
          Electrical fitters &amp; related electrical &amp; electronic workers, n.e.c.
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Supvisors, broadcasting, audio-visual projection &amp; sound equipment operators
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          861
        </catValu>
        <labl>
          Radio broadcasting televisio n operators
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Sound equipment operators &amp; cinema projectionists
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          869
        </catValu>
        <labl>
          Broadcasting station &amp; sound equipment operators &amp; cinema projectionists
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          870
        </catValu>
        <labl>
          Supervisors, foremen, plumbing, welding structural &amp; sheet metal working
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          871
        </catValu>
        <labl>
          Plumbers and pipe fitters
        </labl>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          872
        </catValu>
        <labl>
          Welders and flame cutters
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          873
        </catValu>
        <labl>
          Sheet metal workers
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          874
        </catValu>
        <labl>
          Metal plate and structural metal workers
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          879
        </catValu>
        <labl>
          Plumbers, welders, sheet metal &amp; structural metal preparers &amp; erectors, n.e.c.
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          880
        </catValu>
        <labl>
          Supervisors, jewellery and precious metal working
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          881
        </catValu>
        <labl>
          Jewellers, goldsmiths &amp; silversmiths
        </labl>
        <catStat type="freq">
          152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          882
        </catValu>
        <labl>
          Jewellery engravers
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          883
        </catValu>
        <labl>
          Other metal engravers (except printing)
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          889
        </catValu>
        <labl>
          Jewellers &amp; precious metal workers, n.e.c. (except printing)
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          890
        </catValu>
        <labl>
          Supervisors &amp; foremen, glass forming, pottery &amp; related activities
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          891
        </catValu>
        <labl>
          Glass formers, cutters, grinders and finishers
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          892
        </catValu>
        <labl>
          Potters and related clay &amp; abrasive formers
        </labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          893
        </catValu>
        <labl>
          Glass and ceramic kilnmen
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Glass engravers and etchers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          895
        </catValu>
        <labl>
          Glass and ceramics painters and decorators
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          899
        </catValu>
        <labl>
          Glass formers, potters &amp; related workers, n.e.c.
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Supervisors &amp;foremen, rubber &amp;plastics product making
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          901
        </catValu>
        <labl>
          Plastics product makers
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Rubber product makers (except tyre makers &amp; vulcanisers)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          903
        </catValu>
        <labl>
          Tyre makers and vulcanisers
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          909
        </catValu>
        <labl>
          Rubber and plastics product makers, n.e.c.
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          910
        </catValu>
        <labl>
          Supervisors &amp; foremen paper &amp; paper board product making
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Paper and paper board product makers
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          919
        </catValu>
        <labl>
          Paper and paper product makers, n.e.c.
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          920
        </catValu>
        <labl>
          Supervisors &amp; foremen printing &amp; related work
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Compositors
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          922
        </catValu>
        <labl>
          Type setters and photo-type setters
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          923
        </catValu>
        <labl>
          Printing pressman
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          924
        </catValu>
        <labl>
          Stereo-typers and electro-typers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          925
        </catValu>
        <labl>
          Engravers, printing (except photo engravers)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          926
        </catValu>
        <labl>
          Photo engravers
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          927
        </catValu>
        <labl>
          Book binders and related workers
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          928
        </catValu>
        <labl>
          Photographic dark room workers
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          929
        </catValu>
        <labl>
          Printers and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          930
        </catValu>
        <labl>
          Supervisors and foremen, painting
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Painters, construction
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Painters, spray and sign writing
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          939
        </catValu>
        <labl>
          Painters, n.e.c.
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          940
        </catValu>
        <labl>
          Supervisors and foremen production &amp; related activities, n.e.c.
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Musical instrument makers and tuners
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          942
        </catValu>
        <labl>
          Basketry weavers and brush makers
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          943
        </catValu>
        <labl>
          Non-metallic mineral product makers
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          949
        </catValu>
        <labl>
          Production and related workers, n.e.c.
        </labl>
        <catStat type="freq">
          179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          950
        </catValu>
        <labl>
          Supervisors &amp; foremen, bricklaying other construction work
        </labl>
        <catStat type="freq">
          58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl>
          Bricklayers, stone masons and tile setters
        </labl>
        <catStat type="freq">
          455
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          952
        </catValu>
        <labl>
          Reinforced concreters, cement finishers and terrazzo workers
        </labl>
        <catStat type="freq">
          22
        </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">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          955
        </catValu>
        <labl>
          Plasterers
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          956
        </catValu>
        <labl>
          Insulators
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          957
        </catValu>
        <labl>
          Glaziers
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          958
        </catValu>
        <labl>
          Hut builders and thatchers
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          959
        </catValu>
        <labl>
          Construction workers, n.e.c.
        </labl>
        <catStat type="freq">
          562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          960
        </catValu>
        <labl>
          Supervisors &amp; foremen, stationary &amp;related equipment operations
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          961
        </catValu>
        <labl>
          Stationary engine &amp;related equipment operators
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          962
        </catValu>
        <labl>
          Boilermen and firemen
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          963
        </catValu>
        <labl>
          Oilers &amp; greasers(including cleaners motor vehicle)
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          969
        </catValu>
        <labl>
          Stationary engine &amp; related equipment operators, n.e.c.
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          970
        </catValu>
        <labl>
          Supervisors &amp; foremen, material &amp; freight handling &amp; related equipment operators
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          971
        </catValu>
        <labl>
          Loaders and unloaders
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          972
        </catValu>
        <labl>
          Riggers and cable splicer
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          973
        </catValu>
        <labl>
          Crane and hoist operators
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          974
        </catValu>
        <labl>
          Earth moving &amp; related machinery operators
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          975
        </catValu>
        <labl>
          Checkers, testers, sorters, weighers and counters
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          976
        </catValu>
        <labl>
          Packers, labellers and related workers
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          979
        </catValu>
        <labl>
          Material handling equipment operators, n.e.c.
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          980
        </catValu>
        <labl>
          Supervisors &amp;foremen, transport equipment operation
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          981
        </catValu>
        <labl>
          Ships 'deck ratings, barge crews and boatmen
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          982
        </catValu>
        <labl>
          Ships' engine room ratings
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          983
        </catValu>
        <labl>
          Drivers, railways
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          984
        </catValu>
        <labl>
          Firemen, railways
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          985
        </catValu>
        <labl>
          Pointsmen, signalmen and shunters, railways
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          986
        </catValu>
        <labl>
          Tram car and motor vehicle drivers
        </labl>
        <catStat type="freq">
          926
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          987
        </catValu>
        <labl>
          Drivers, animal and animal drawn vehicles
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          988
        </catValu>
        <labl>
          Cycle rickshaw drivers and rickshaw pullers
        </labl>
        <catStat type="freq">
          295
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          989
        </catValu>
        <labl>
          Transport equipment operators and drivers, n.e.c.
        </labl>
        <catStat type="freq">
          151
        </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">
          1209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          X01
        </catValu>
        <labl>
          Workers without occupations, metric and above
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          X02
        </catValu>
        <labl>
          Workers without occupations, literate
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          X09
        </catValu>
        <labl>
          Workers without occupations, others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          X10
        </catValu>
        <labl>
          Workers reporting occupations unidentified or unclassified
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          X99
        </catValu>
        <labl>
          Workers not reporting any occupation
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V53" name="B3_q4" files="F2" intrvl="discrete">
      <location StartPos="57" EndPos="57" width="1" RecSegNo="1"/>
      <labl>
        Household type
      </labl>
      <qstn>
        <qstnLit>
          Household type
        </qstnLit>
        <ivuInstr><![CDATA[The household type code based on the means of livelihood of a household will be decided on the basis of the sources of the household's income during the 365 days preceding the date of survey.  For this purpose, only the household's income (net income and not gross income) from economic activities will be considered; but the incomes of servants and paying guests will not be taken into account.
        For the rural areas, the selected household will be assigned the appropriate type code out of the following five different household type codes:
       self-employed in non-agriculture……  1        self-employed in agriculture ....…...... 4
       agricultural labour ........................…....2        others .................................................. 9
       other labour  …………………………. 3

For urban areas, the household type codes are as follows:
           self-employed - 1,   regular wage/salary earning - 2,   casual labour - 3,   others - 9.

For a rural household, if a single source (among the five sources of income listed in the preceding paragraph) contributes 50% or more of the household's income from economic activities during the last 365 days, it will be assigned the type code (1, 2, 3, 4 or 9) corresponding to that source. 

For urban areas the different urban type codes correspond to four sources of household income, unlike the rural sector where five sources are considered. An urban household will be assigned the type code 1, 2, 3 or 9 corresponding to the major source of its income from economic activities during the last 365 days. A household, which does not have any income from economic activities, will get type code 9 (others).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        39417
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V71" name="HH_Type" files="F2" intrvl="discrete">
      <location StartPos="58" EndPos="59" width="2" RecSegNo="1"/>
      <labl>
        Household type with sector
      </labl>
      <qstn>
        <qstnLit>
          Household type with sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The household type code based on the means of livelihood of a household has been decided on the basis of the sources of the household's income during the 365 days preceding the date of survey.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Invalid - rural
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          self-employed in non-agriculture - rural
        </labl>
        <catStat type="freq">
          2825
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          agricultural labour - rural
        </labl>
        <catStat type="freq">
          2685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[other labour  - rural ]]></labl>
        <catStat type="freq">
          1864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          self-employed in agriculture - rural
        </labl>
        <catStat type="freq">
          9242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Others - rural
        </labl>
        <catStat type="freq">
          2370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Invalid - urban
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          self-employed - urban
        </labl>
        <catStat type="freq">
          8136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          regular wage/salary earning - urban
        </labl>
        <catStat type="freq">
          8422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          casual labour - urban
        </labl>
        <catStat type="freq">
          1817
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Others - urban
        </labl>
        <catStat type="freq">
          2056
        </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="V54" name="B3_q5" files="F2" intrvl="discrete">
      <location StartPos="60" EndPos="60" width="1" RecSegNo="1"/>
      <labl>
        Religion
      </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">
        39434
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Hinduism
        </labl>
        <catStat type="freq">
          30192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Islam
        </labl>
        <catStat type="freq">
          5426
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Christianity
        </labl>
        <catStat type="freq">
          2072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sikhism
        </labl>
        <catStat type="freq">
          878
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Jainism
        </labl>
        <catStat type="freq">
          220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Buddhism
        </labl>
        <catStat type="freq">
          354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Zoroastrianism
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          285
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V55" name="B3_q6" files="F2" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        Social Group
      </labl>
      <qstn>
        <qstnLit><![CDATA[Which social group do you belong to?
Do you come under scheduled caste or  scheduled tribe or others category?]]></qstnLit>
        <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">
        39429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Scheduled Tribe
        </labl>
        <catStat type="freq">
          3907
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Scheduled Caste
        </labl>
        <catStat type="freq">
          5275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other Backward Class
        </labl>
        <catStat type="freq">
          14072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          16175
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V56" name="B3_q7" files="F2" intrvl="discrete">
      <location StartPos="62" EndPos="63" width="2" RecSegNo="1"/>
      <labl>
        Land possessed code
      </labl>
      <qstn>
        <qstnLit>
          How much land do you own?
        </qstnLit>
        <ivuInstr>
          The total land area possessed by the household as on the date of survey will be worked out and recorded against this item in code.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        39361
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          less than 0.005 hectares
        </labl>
        <catStat type="freq">
          10342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          0.005 - 0.01 hectares
        </labl>
        <catStat type="freq">
          8220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          0.02 - 0.20 hectares
        </labl>
        <catStat type="freq">
          5673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          0.21 - 0.40 hectares
        </labl>
        <catStat type="freq">
          2303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          0.41 - 1.00 hectares
        </labl>
        <catStat type="freq">
          3938
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[1.01  - 2.00 hectares]]></labl>
        <catStat type="freq">
          4232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          2.01 – 3.00 hectares
        </labl>
        <catStat type="freq">
          2046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[3.01 -  4.00 hectares]]></labl>
        <catStat type="freq">
          1148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          4.01 – 6.00 hectares
        </labl>
        <catStat type="freq">
          792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[6.01  - 8.00 hectares]]></labl>
        <catStat type="freq">
          292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          greater than 8.00 hectares
        </labl>
        <catStat type="freq">
          375
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V57" name="B3_q8" files="F2" intrvl="discrete">
      <location StartPos="64" EndPos="64" width="1" RecSegNo="1"/>
      <labl>
        Dwelling unit code
      </labl>
      <qstn>
        <qstnLit>
          Do you own the dwelling unit? Or is it hired or otherwise occupied?
        </qstnLit>
        <ivuInstr><![CDATA[If the occupant owns the dwelling unit, code 1 will be recorded against item 8.  If it is taken on rent, code 2 will be entered and if it is occupied otherwise, code 9 will apply.  However, if any household is found living under trees, bridges, in pipes, etc. it will not be treated as living in dwelling unit.  For such households code 3 will be recorded. It may be noted that a dwelling unit constructed on a plot of land which is taken under long-term lease, usually 30 years or more, will be considered as being held in owner-like possession.  Similarly, a dwelling unit itself possessed by a household under a long-term lease may be treated as in owner-like possession and code 1 will be applicable in such cases also. The codes for this item are given below:

owned	1	
hired	2	
no dwelling unit	3	
others 	9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        39417
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[This item refers only to the dwelling unit or the actual residence of the sample household.  The dwelling unit may be an entire structure or may be only a part of a structure.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          30861
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Hired
        </labl>
        <catStat type="freq">
          6874
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No dwelling unit
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1680
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V58" name="B3_q9" files="F2" intrvl="discrete">
      <location StartPos="65" EndPos="65" width="1" RecSegNo="1"/>
      <labl>
        Type of dwelling code
      </labl>
      <qstn>
        <qstnLit>
          What is the type of dwelling of the household? Is it an independent house or a flat or any other type of dwelling?
        </qstnLit>
        <ivuInstr><![CDATA[The dwelling unit of the household may be an independent house, a flat, or neither of these. The appropriate code will be entered against the item. The codes are: 

independent house	1	
flat	2	
others	9	
no dwelling	3]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        39395
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Independent house
        </labl>
        <catStat type="freq">
          32314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Flat
        </labl>
        <catStat type="freq">
          4038
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No dwelling
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          3043
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V59" name="B3_q10" files="F2" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        Type of structure
      </labl>
      <qstn>
        <qstnLit>
          What is the type of structure of the dwelling?
        </qstnLit>
        <ivuInstr><![CDATA[Structures have been classified into four categories, namely, pucca, semi-pucca, serviceable katcha and unserviceable katcha, on the basis of materials used for construction.  This item is to be filled in code. The codes are:
pucca-1, semi-pucca-2, serviceable katcha -3, unserviceable katcha - 4, no structure-5.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        39368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Pucca
        </labl>
        <catStat type="freq">
          28178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Semi-pucca
        </labl>
        <catStat type="freq">
          7695
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Serviceable katchcha
        </labl>
        <catStat type="freq">
          3202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Unserviceable katchcha
        </labl>
        <catStat type="freq">
          293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          No structure
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V60" name="B3_q11" files="F2" dcml="0" intrvl="contin">
      <location StartPos="67" EndPos="70" width="4" RecSegNo="1"/>
      <labl>
        Covered area (sq. m)
      </labl>
      <qstn>
        <qstnLit>
          How much is the covered area of the dwelling?
        </qstnLit>
        <ivuInstr><![CDATA[This will be the sum of the floor areas of all the rooms, kitchen, etc., and verandah located in the house or inside the homestead land and occupied by the household. The covered area may be either owned (including owner-like possession) or rented. It should exclude area owned but rented out. The area will be recorded (to nearest integer) in square metre.  The verandah will mean a roofed space adjacent to living/other rooms which is not walled from all sides, that is, with at least one side either open or walled to some height or protected by grille, net, etc. If entry against item 10 is 5, a dash (-) may be put against this item.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3000"/>
      </valrng>
      <sumStat type="vald">
        39193
      </sumStat>
      <sumStat type="invd">
        243
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000
      </sumStat>
      <sumStat type="mean">
        58.561
      </sumStat>
      <sumStat type="stdev">
        73.39
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V61" name="B3_q12" files="F2" intrvl="discrete">
      <location StartPos="71" EndPos="71" 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 this item, the code corresponding to the primary source of energy that is used by the household for cooking during last 30 days preceding the date of survey will be recorded.  If more than one type of energy is utilised, the primary or principal one on the basis of its extent of use will have to be identified and the corresponding code will be noted in the appropriate box.  The codes are: 

cooking:  coke, coal and charcoal- 1, firewood and chips- 2,  LPG- 3, gobar gas - 4, dung cake- 5, kerosene- 6, electricity- 7, others- 9,  no cooking arrangement- 8]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        39405
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl><![CDATA[  coke, coal and charcoal]]></labl>
        <catStat type="freq">
          986
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl><![CDATA[   firewood and chips]]></labl>
        <catStat type="freq">
          17027
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl><![CDATA[  LPG]]></labl>
        <catStat type="freq">
          16119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl><![CDATA[  gobar gas]]></labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl><![CDATA[  dung cake]]></labl>
        <catStat type="freq">
          1563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl><![CDATA[  kerosene]]></labl>
        <catStat type="freq">
          1786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl><![CDATA[  electricity]]></labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          No cooking arrangement
        </labl>
        <catStat type="freq">
          1116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl><![CDATA[  others]]></labl>
        <catStat type="freq">
          611
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V62" name="B3_q13" files="F2" intrvl="discrete">
      <location StartPos="72" EndPos="72" 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 this item, the code corresponding to the primary source of energy that is used by the household for lighting during last 30 days preceding the date of survey will be recorded.  If more than one type of energy is utilised, the primary or principal one on the basis of its extent of use will have to be identified and the corresponding code will be noted in the appropriate box.  The codes are: 

lighting: kerosene -1, other oil -2, gas - 3, candle - 4, electricity - 5, others -9,
               no lighting arrangement - 6]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        39396
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          kerosene
        </labl>
        <catStat type="freq">
          6963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          other oil
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          gas
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          candle
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          electricity
        </labl>
        <catStat type="freq">
          31937
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          No lighting arrangement
        </labl>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          162
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V63" name="B3_q14" files="F2" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="80" width="8" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <qstn>
        <ivuInstr>
          This item will be filled in only after completing blocks 5 to 12. It will be copied from column 6 of item srl. no. 37 of block 12. (The sum total of the relevant sub-total items (as indicated in block 12) adjusted for 30 days will be divided by the household size to obtain the monthly per capita expenditure.)
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="25.08" max="52371.29"/>
      </valrng>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        25.08
      </sumStat>
      <sumStat type="max">
        52371.29
      </sumStat>
      <sumStat type="mean">
        1113.935
      </sumStat>
      <sumStat type="stdev">
        1014.715
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V64" name="B3_q15" files="F2" intrvl="discrete">
      <location StartPos="81" EndPos="81" width="1" RecSegNo="1"/>
      <labl>
        Performance of any ceremony last month
      </labl>
      <qstn>
        <qstnLit>
          Did the household perform any ceremony?
        </qstnLit>
        <ivuInstr><![CDATA[If the household is found to have performed any ceremony during the last 30 days, code '1' will be recorded against this item. Otherwise, '2' will be recorded. 

Ceremonies are frequently performed to solemnize some events of life such as birth, marriage, etc. There are also rites consequent upon the death of a person.  Such ceremonies may be performed by household members as required under the social/religious customs without incurring expenditure for entertaining guests.  On the other hand, some households may spend a considerable amount of money for entertaining guests with meals during these occasions. Only the latter type of ceremony, in other words, only those ceremonies on which guests are entertained with meals (not just snacks) will be considered for the purposes of item 15 as ceremonies performed. Even an occasion which is not a traditional occasion for celebration or social gathering will be considered a ceremony if meals are served to a large number of guests by the household.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        39425
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Ceremonies are frequently performed to solemnize some events of life such as birth, marriage, etc. There are also rites consequent upon the death of a person.  Such ceremonies may be performed by household members as required under the social/religious customs without incurring expenditure for entertaining guests.  On the other hand, some households may spend a considerable amount of money for entertaining guests with meals during these occasions. Only the latter type of ceremony, in other words, only those ceremonies on which guests are entertained with meals (not just snacks) will be considered for the purposes of item 15 as ceremonies performed. Even an occasion which is not a traditional occasion for celebration or social gathering will be considered a ceremony if meals are served to a large number of guests by the household.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          38527
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V65" name="B3_q16" files="F2" dcml="0" intrvl="contin">
      <location StartPos="82" EndPos="85" width="4" RecSegNo="1"/>
      <labl>
        No. of meals served to non-hhold members last month
      </labl>
      <qstn>
        <qstnLit>
          How many meals were served to non household members by the household during the last 30 days?
        </qstnLit>
        <ivuInstr>
          The total number of meals served to non-household members during the last 30 days will be recorded against this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1248"/>
      </valrng>
      <sumStat type="vald">
        29022
      </sumStat>
      <sumStat type="invd">
        10414
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1248
      </sumStat>
      <sumStat type="mean">
        8.62
      </sumStat>
      <sumStat type="stdev">
        27.584
      </sumStat>
      <txt>
        The total number of meals served to non-household members during the last 30 days have been recorded against this item.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="B3_q17" files="F2" intrvl="discrete">
      <location StartPos="86" EndPos="86" width="1" RecSegNo="1"/>
      <labl>
        Purchase any cereal from ration/ fair price shop last month
      </labl>
      <qstn>
        <qstnLit>
          Did you purchase any cereal from ration or fair price shop last month?
        </qstnLit>
        <ivuInstr><![CDATA[The answer against this question will be recorded in code.  The codes are: yes-1, no-2.  Purchase of foodgrains by workers from shops run by their employer at concessional or subsidised rates (this is prevalent, for example, in tea garden areas) will not be considered as purchase from ration/fair price shop.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        39404
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          8523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          30881
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V67" name="NSS" files="F2" intrvl="discrete">
      <location StartPos="87" EndPos="88" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V68" name="NSC" files="F2" intrvl="discrete">
      <location StartPos="89" EndPos="91" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V69" name="MLT" files="F2" dcml="2" intrvl="contin">
      <location StartPos="92" EndPos="100" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.51" max="703464.23"/>
      </valrng>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.51
      </sumStat>
      <sumStat type="max">
        703464.23
      </sumStat>
      <sumStat type="mean">
        10561.061
      </sumStat>
      <sumStat type="stdev">
        22867.154
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V72" name="WGT_SS" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="101" EndPos="107" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0051" max="7034.6423"/>
      </valrng>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0051
      </sumStat>
      <sumStat type="max">
        7034.642
      </sumStat>
      <sumStat type="mean">
        105.611
      </sumStat>
      <sumStat type="stdev">
        228.672
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V73" name="WGT_SS_Combined" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="108" EndPos="114" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.00255" max="3517.32115"/>
      </valrng>
      <sumStat type="vald">
        39436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.00255
      </sumStat>
      <sumStat type="max">
        3517.321
      </sumStat>
      <sumStat type="mean">
        52.929
      </sumStat>
      <sumStat type="stdev">
        114.357
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V112" name="Person_key" files="F3" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a member in the household
      </labl>
      <sumStat type="vald">
        190022
      </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="V111" name="HHID" files="F3" intrvl="discrete">
      <location StartPos="12" EndPos="20" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, segment number, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V75" name="CentreCodeRoundShift" files="F3" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Centre code, Round, Shift
      </labl>
      <qstn>
        <qstnLit>
          Centre code, Round, Shift
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V76" name="Vill_Blk_Slno" files="F3" intrvl="discrete">
      <location StartPos="24" EndPos="28" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        190022
      </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. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V77" name="Round" files="F3" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          62
        </catValu>
        <catStat type="freq">
          190022
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V78" name="ScheduleNumber" files="F3" intrvl="discrete">
      <location StartPos="31" EndPos="33" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          010
        </catValu>
        <catStat type="freq">
          190022
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V79" name="Sample" files="F3" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V80" name="Sector" files="F3" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </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">
        190022
      </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">
          100730
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          89292
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V81" name="St_Region" files="F3" intrvl="discrete">
      <location StartPos="36" EndPos="38" 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">
        190022
      </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="V108" name="State" files="F3" intrvl="discrete">
      <location StartPos="39" EndPos="40" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          6279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          3655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          6946
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          1810
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          4353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          11098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          21332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          11167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1007
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1791
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          2598
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          2110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          3218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1911
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          6907
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          12490
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          6316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          7186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          2779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          10748
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          7972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          14345
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          11013
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          7633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          6984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          10092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          922
        </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="V82" name="District" files="F3" intrvl="discrete">
      <location StartPos="41" EndPos="42" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
        <ivuInstr>
          District to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V83" name="Stratum" files="F3" intrvl="discrete">
      <location StartPos="43" EndPos="44" width="2" RecSegNo="1"/>
      <labl>
        Stratum Number
      </labl>
      <qstn>
        <qstnLit>
          Stratum Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V84" name="SubStratum" files="F3" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V85" name="SubRound" files="F3" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        190022
      </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">
          46276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub-round 2
        </labl>
        <catStat type="freq">
          47722
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub-round 3
        </labl>
        <catStat type="freq">
          47843
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub-round 4
        </labl>
        <catStat type="freq">
          48181
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V86" name="SubSample" files="F3" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Sub - sample
      </labl>
      <qstn>
        <qstnLit>
          Sub - sample
        </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">
        190022
      </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 sample
        </labl>
        <catStat type="freq">
          99762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          90260
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V87" name="FODSubRegion" files="F3" intrvl="discrete">
      <location StartPos="49" EndPos="52" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V88" name="SegmentNo" files="F3" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Segment Number
      </labl>
      <qstn>
        <qstnLit>
          Segment Number
        </qstnLit>
        <ivuInstr><![CDATA[Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.

Listing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.

Formation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.

A large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's/sb's formed in the FSU, two hg's/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg/sb may be selected randomly and termed as Segment 2. 

Listing and selection of households/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg/sb formation will not have segment 2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V89" name="Stage2_Stratum" files="F3" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
        <ivuInstr>
          Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V90" name="Hhold_no" files="F3" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <qstn>
        <qstnLit>
          Sample Household Number
        </qstnLit>
        <ivuInstr><![CDATA[Sample household number:  The sample household number (i.e., order of selection)  of the selected household is to be copied from column (11) or (12) of block 5a of Schedule 0.0.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        1.316
      </sumStat>
      <sumStat type="stdev">
        0.514
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V91" name="Level" files="F3" intrvl="discrete">
      <location StartPos="56" EndPos="57" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <qstn>
        <qstnLit>
          Level
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          190022
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V92" name="B4_q1" files="F3" dcml="0" intrvl="contin">
      <location StartPos="58" EndPos="59" width="2" RecSegNo="1"/>
      <labl>
        Serial No. of members
      </labl>
      <qstn>
        <qstnLit>
          Serial No. of members
        </qstnLit>
        <ivuInstr>
          All the members of the sample household will be listed in block 4 using a continuous serial number in column (1). In the list, the head of the household will appear first followed by head's spouse, the first son, first son's wife and their children, second son, second son's wife and their children and so on. After the sons are enumerated, the daughters will be listed followed by other relations, dependants, servants, etc.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="39"/>
      </valrng>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        39
      </sumStat>
      <sumStat type="mean">
        3.625
      </sumStat>
      <sumStat type="stdev">
        2.602
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V93" name="B4_q3" files="F3" intrvl="discrete">
      <location StartPos="60" EndPos="60" width="1" RecSegNo="1"/>
      <labl>
        Relation to Head Code
      </labl>
      <qstn>
        <qstnLit>
          What is your relation to head of the household?
        </qstnLit>
        <ivuInstr><![CDATA[The relationship of each member of the household to the head of the household (for the head, the relationship is 'self') will be recorded in this column. The codes are:

        self ................................  1             grandchild ...................................................... 6
        spouse of head...............  2             father/mother/father-in-law/mother- in-law ... 7
        married child ................   3            brother/sister/brother-in-law/sister-in-law
        spouse of married child .. 4                                                      /other relatives....... 8 
        unmarried child .............. 5            servant/employees/other non-relatives ........... 9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Self
        </labl>
        <catStat type="freq">
          39437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse of head
        </labl>
        <catStat type="freq">
          31395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married child
        </labl>
        <catStat type="freq">
          10505
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Spouse of married child
        </labl>
        <catStat type="freq">
          10391
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unmarried child
        </labl>
        <catStat type="freq">
          66908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchild
        </labl>
        <catStat type="freq">
          17381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Father/mother/father-in-law/mother-in-law
        </labl>
        <catStat type="freq">
          5049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Brother/sister/brother-in-law/sister-in-law/other relatives
        </labl>
        <catStat type="freq">
          8342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Servant/employee/or non-relatives
        </labl>
        <catStat type="freq">
          614
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V94" name="B4_q4" files="F3" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        Sex Code
      </labl>
      <qstn>
        <qstnLit>
          Sex of the member
        </qstnLit>
        <ivuInstr>
          The sex of each member of the household will be recorded in this column. For eunuchs, code '1' will be recorded.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          98712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          91310
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V95" name="B4_q5" files="F3" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="64" width="3" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          Age of the member
        </qstnLit>
        <ivuInstr>
          The age in completed years of all the members listed will be ascertained and recorded in this column. For infants below one year of age, '0' will be entered. As in the previous round, ages above 99 will be recorded in three digits.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="113"/>
      </valrng>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        113
      </sumStat>
      <sumStat type="mean">
        27.959
      </sumStat>
      <sumStat type="stdev">
        19.087
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V96" name="B4_q6" files="F3" intrvl="discrete">
      <location StartPos="65" EndPos="65" width="1" RecSegNo="1"/>
      <labl>
        Marital Status Code
      </labl>
      <qstn>
        <qstnLit>
          Marital status of the member
        </qstnLit>
        <ivuInstr><![CDATA[The marital status of each member will be recorded in this column. The codes are: 
                  never married - 1, currently married - 2, widowed - 3, divorced/separated - 4.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        189998
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          91747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Currently married
        </labl>
        <catStat type="freq">
          88764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          8852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/separated
        </labl>
        <catStat type="freq">
          635
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V97" name="B4_q7" files="F3" intrvl="discrete">
      <location StartPos="66" EndPos="67" width="2" RecSegNo="1"/>
      <labl>
        General Education Code
      </labl>
      <qstn>
        <qstnLit>
          Education of the member
        </qstnLit>
        <ivuInstr><![CDATA[Information regarding the level of general education attained by the members of the household listed will be recorded in this column. For the purpose of making entries in this column, only the course successfully completed will be considered. For instance, for a person who has studied up to say, first year B.A., his/her educational attainment will be considered as higher secondary (code 07).  For a person who has studied up to 12th standard but has not appeared for the final examination or has failed, his/her educational attainment will be considered under 'secondary' (code 06). The relevant codes to be used for recording entries in this column are:
not literate -01, literate without formal schooling -02, literate but below primary -03, primary -04, middle -05,  secondary -06, higher secondary -07,  diploma/certificate course -08,  graduate - 10, post graduate and above  -11.

A person who can both read and write a simple message with understanding in at least one language is to be considered literate. Those who are not able to do so are to be considered not literate and will be assigned code 01. Those who are literate but never attended any school will be assigned code 02.  Those who are literate and have attended school but are yet to pass a primary standard examination will get code 03.  Similarly, codes 04, 05, 06 and 07 etc. will indicate the successive higher standards of examinations passed.  
Persons who have attained proficiency in Oriental languages (e.g. Sanskrit, Persian, etc.) through formal but not the general type of education will be classified appropriately at the equivalent level of general education standard.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        189862
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Not literate
        </labl>
        <catStat type="freq">
          55054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Literate without formal schooling
        </labl>
        <catStat type="freq">
          1670
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Literate but below primary
        </labl>
        <catStat type="freq">
          26782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          26696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Middle
        </labl>
        <catStat type="freq">
          32762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          19570
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Higher secondary
        </labl>
        <catStat type="freq">
          12423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Diploma / certificate course
        </labl>
        <catStat type="freq">
          1550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Graduate
        </labl>
        <catStat type="freq">
          10235
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Post graduate and above
        </labl>
        <catStat type="freq">
          3120
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V98" name="B4_q8" files="F3" dcml="0" intrvl="contin">
      <location StartPos="68" EndPos="69" width="2" RecSegNo="1"/>
      <labl>
        No. of days stayed away
      </labl>
      <qstn>
        <qstnLit>
          How many days a member has stayed away from the household?
        </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 reckoned as 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, having been away from his/her own household, may also be within the same village/town and staying away will not only mean physical absence but also non-participation in food consumption from his/her own household. For example, if a member stayed away for two days, but consumed food prepared at home during these two days, then that member will not be considered for this item as staying away.  For members who did not stay away for even 1 day during the last 30 days, 0 will be recorded.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="30"/>
      </valrng>
      <sumStat type="vald">
        55785
      </sumStat>
      <sumStat type="invd">
        134237
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        1.503
      </sumStat>
      <sumStat type="stdev">
        4.224
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V99" name="B4_q9" files="F3" dcml="0" intrvl="contin">
      <location StartPos="70" EndPos="70" width="1" RecSegNo="1"/>
      <labl>
        No. of meals taken in a day
      </labl>
      <qstn>
        <qstnLit>
          How many meals do you usually take in a day?
        </qstnLit>
        <ivuInstr><![CDATA[The number of meals consumed by a person is usually reported as 2 or 3.  For a person who takes food only once in a day, the entry will be 1. One may also come across a person who takes food more than three times a day. For such persons, however, 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. In addition, for infants of age '0' as well as for children who subsist on milk only, '0' may be recorded against this item.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3"/>
      </valrng>
      <sumStat type="vald">
        189872
      </sumStat>
      <sumStat type="invd">
        150
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3
      </sumStat>
      <sumStat type="mean">
        2.412
      </sumStat>
      <sumStat type="stdev">
        0.568
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V100" name="B4_q10" files="F3" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl><![CDATA[No. of meals taken away from home free of cost  - 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>
        <ivuInstr><![CDATA[Columns (10), (11) and (12) pertain to meals taken away from home without payment.  Number of meals taken outside home on payment and at home during last 30 days preceding the date of survey, for each member of the household will be recorded against columns (13) and (14). There are schools/balwadis, etc. which provide standard food to all or some students as midday meal, tiffin, etc. free or at subsidised rate. Such meals are to be considered as meals taken away from home. If such food is received free it will be recorded in column (10).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        36882
      </sumStat>
      <sumStat type="invd">
        153140
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        3.318
      </sumStat>
      <sumStat type="stdev">
        7.884
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V101" name="B4_q11" files="F3" dcml="0" intrvl="contin">
      <location StartPos="73" EndPos="74" width="2" RecSegNo="1"/>
      <labl><![CDATA[No. of meals taken away from home free of cost  - 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>
          Sometimes meals are provided by the employer. These may be as perquisites or as part of wages in kind. These meals are generally consumed at the place of work and are to be considered as meals taken away from home. It may not be rare that meals provided by the employer are brought home by the employees and consumed there. Such meals are also to be considered as meals taken away from home. In column (11), the number of such meals received and consumed during the reference period by an individual member will be recorded.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        32570
      </sumStat>
      <sumStat type="invd">
        157452
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        0.726
      </sumStat>
      <sumStat type="stdev">
        6.008
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V102" name="B4_q12" files="F3" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="76" width="2" RecSegNo="1"/>
      <labl><![CDATA[No. of meals taken away from home free of cost  - 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>
        <ivuInstr>
          Meals consumed as guests in other households, will also be taken into account while making entries in column (12).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        45363
      </sumStat>
      <sumStat type="invd">
        144659
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        3.938
      </sumStat>
      <sumStat type="stdev">
        10.307
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="B4_q13" files="F3" dcml="0" intrvl="contin">
      <location StartPos="77" EndPos="78" width="2" 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>
        <ivuInstr>
          Meals received at subsidised rate will be recorded in column (13). There are institutions which provide canteen facilities to their students. Students can purchase food of their choice and to their requirements from those canteens on payment. In such cases also entry will be made in column (13).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        36406
      </sumStat>
      <sumStat type="invd">
        153616
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        2.688
      </sumStat>
      <sumStat type="stdev">
        11.04
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V104" name="B4_q14" files="F3" dcml="0" intrvl="contin">
      <location StartPos="79" EndPos="80" width="2" RecSegNo="1"/>
      <labl>
        Meals taken at home
      </labl>
      <qstn>
        <qstnLit>
          How many meals are taken at home in a day?
        </qstnLit>
        <ivuInstr>
          In column (14), the number of meals taken at home by each member of the household during the period of 30 days preceding the date of survey will be recorded. A meal will be considered to be taken at home if the meal is prepared at home irrespective of the place where it is consumed.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        189061
      </sumStat>
      <sumStat type="invd">
        961
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        70.305
      </sumStat>
      <sumStat type="stdev">
        17.815
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V105" name="NSS" files="F3" intrvl="discrete">
      <location StartPos="81" EndPos="82" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V106" name="NSC" files="F3" intrvl="discrete">
      <location StartPos="83" EndPos="85" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V107" name="MLT" files="F3" dcml="2" intrvl="contin">
      <location StartPos="86" EndPos="94" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.51" max="703464.23"/>
      </valrng>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.51
      </sumStat>
      <sumStat type="max">
        703464.23
      </sumStat>
      <sumStat type="mean">
        10411.682
      </sumStat>
      <sumStat type="stdev">
        22548.728
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V109" name="WGT_SS" wgt="wgt" files="F3" dcml="2" intrvl="contin">
      <location StartPos="95" EndPos="101" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0051" max="7034.6423"/>
      </valrng>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0051
      </sumStat>
      <sumStat type="max">
        7034.642
      </sumStat>
      <sumStat type="mean">
        104.117
      </sumStat>
      <sumStat type="stdev">
        225.487
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V110" name="WGT_SS_Combined" wgt="wgt" files="F3" dcml="2" intrvl="contin">
      <location StartPos="102" EndPos="108" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.00255" max="3517.32115"/>
      </valrng>
      <sumStat type="vald">
        190022
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.00255
      </sumStat>
      <sumStat type="max">
        3517.321
      </sumStat>
      <sumStat type="mean">
        52.174
      </sumStat>
      <sumStat type="stdev">
        112.767
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V365" name="HHID2" files="F4" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V113" name="CentreCodeRoundShift" files="F4" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre code, Round, Shift
      </labl>
      <qstn>
        <qstnLit>
          Centre code, Round, Shift
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V114" name="Vill_Blk_Slno" files="F4" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1889174
      </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. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V115" name="Round" files="F4" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          62
        </catValu>
        <catStat type="freq">
          1889174
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V116" name="ScheduleNumber" files="F4" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          010
        </catValu>
        <catStat type="freq">
          1889174
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V117" name="Sample" files="F4" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V118" name="Sector" files="F4" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </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">
        1889174
      </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">
          896366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          992808
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V119" name="St_Region" files="F4" intrvl="discrete">
      <location StartPos="25" EndPos="27" 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">
        1889174
      </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="V137" name="State" files="F4" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          51589
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          35534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          63152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          3596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          17321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          36420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          16823
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          86379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          178961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          87397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          11059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          13562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          15372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          19507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          18045
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          35309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          19062
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          72943
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          138723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          55501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          69086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          25389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          94951
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          82024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          3723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          3683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          156725
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          128479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          84575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          9087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          4307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          89057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          144219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          6410
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          11204
        </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="V120" name="District" files="F4" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
        <ivuInstr>
          District to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V121" name="Stratum" files="F4" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum Number
      </labl>
      <qstn>
        <qstnLit>
          Stratum Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V122" name="SubStratum" files="F4" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V123" name="SubRound" files="F4" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1889174
      </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">
          460417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub-round 2
        </labl>
        <catStat type="freq">
          477064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub-round 3
        </labl>
        <catStat type="freq">
          479347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub-round 4
        </labl>
        <catStat type="freq">
          472346
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V124" name="SubSample" files="F4" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub - sample
      </labl>
      <qstn>
        <qstnLit>
          Sub - sample
        </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">
        1889174
      </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 sample
        </labl>
        <catStat type="freq">
          991205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          897969
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V125" name="FODSubRegion" files="F4" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V126" name="SegmentNo" files="F4" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Segment Number
      </labl>
      <qstn>
        <qstnLit>
          Segment Number
        </qstnLit>
        <ivuInstr><![CDATA[Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.

Listing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.

Formation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.

A large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's/sb's formed in the FSU, two hg's/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg/sb may be selected randomly and termed as Segment 2. 

Listing and selection of households/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg/sb formation will not have segment 2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V127" name="Stage2_Stratum" files="F4" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
        <ivuInstr>
          Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V362" name="Hhold_no" files="F4" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          1308188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          556790
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          13736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          10460
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V129" name="Level" files="F4" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <qstn>
        <qstnLit>
          Level
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          1889174
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V130" name="B5_q1" files="F4" intrvl="discrete">
      <location StartPos="48" EndPos="50" width="3" RecSegNo="1"/>
      <labl>
        Block 5 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 5 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          rice – PDS
        </labl>
        <catStat type="freq">
          7114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          rice – other sources
        </labl>
        <catStat type="freq">
          35014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          chira
        </labl>
        <catStat type="freq">
          7073
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          khoi, lawa
        </labl>
        <catStat type="freq">
          353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          muri
        </labl>
        <catStat type="freq">
          6923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          other rice products
        </labl>
        <catStat type="freq">
          1472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          wheat/ atta – PDS
        </labl>
        <catStat type="freq">
          3396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          wheat/ atta – other sources
        </labl>
        <catStat type="freq">
          28210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          maida
        </labl>
        <catStat type="freq">
          5466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          suji, rawa
        </labl>
        <catStat type="freq">
          13050
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          sewai, noodles
        </labl>
        <catStat type="freq">
          2965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          bread (bakery)
        </labl>
        <catStat type="freq">
          10381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          other wheat products
        </labl>
        <catStat type="freq">
          276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          jowar &amp; its products
        </labl>
        <catStat type="freq">
          2715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          bajra &amp; its products
        </labl>
        <catStat type="freq">
          1901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          maize &amp; products (excl. cornflakes)
        </labl>
        <catStat type="freq">
          2158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          cornflakes
        </labl>
        <catStat type="freq">
          204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          barley &amp; its products
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          small millets &amp; their products
        </labl>
        <catStat type="freq">
          271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          ragi &amp; its products
        </labl>
        <catStat type="freq">
          1764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          cereal: sub-total (101-122)
        </labl>
        <catStat type="freq">
          38290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          cereal substitutes (tapioca, jackfruit seed, etc.)
        </labl>
        <catStat type="freq">
          3050
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          arhar (tur)
        </labl>
        <catStat type="freq">
          22980
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          gram (split)
        </labl>
        <catStat type="freq">
          15020
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          gram (whole)
        </labl>
        <catStat type="freq">
          8291
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          moong
        </labl>
        <catStat type="freq">
          20744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          masur
        </labl>
        <catStat type="freq">
          17223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          urd
        </labl>
        <catStat type="freq">
          14796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          peas
        </labl>
        <catStat type="freq">
          3391
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          soyabean
        </labl>
        <catStat type="freq">
          2075
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          khesari
        </labl>
        <catStat type="freq">
          591
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          other pulses
        </labl>
        <catStat type="freq">
          6917
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          gram products
        </labl>
        <catStat type="freq">
          2288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          besan
        </labl>
        <catStat type="freq">
          13408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          other pulse products
        </labl>
        <catStat type="freq">
          4969
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          pulses &amp; pulse products: sub-total (140-153)
        </labl>
        <catStat type="freq">
          37871
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          milk: liquid (litre)
        </labl>
        <catStat type="freq">
          31484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          baby food
        </labl>
        <catStat type="freq">
          625
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          milk: condensed/ powder
        </labl>
        <catStat type="freq">
          2658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          curd
        </labl>
        <catStat type="freq">
          4174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          ghee
        </labl>
        <catStat type="freq">
          8202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          butter
        </labl>
        <catStat type="freq">
          1245
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          ice-cream
        </labl>
        <catStat type="freq">
          1087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          other milk products
        </labl>
        <catStat type="freq">
          1396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          milk &amp; milk products: sub-total (160-167)
        </labl>
        <catStat type="freq">
          33687
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          vanaspati, margarine
        </labl>
        <catStat type="freq">
          6771
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          mustard oil
        </labl>
        <catStat type="freq">
          19903
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          groundnut oil
        </labl>
        <catStat type="freq">
          5885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          coconut oil
        </labl>
        <catStat type="freq">
          1810
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          edible oil (others)
        </labl>
        <catStat type="freq">
          14032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          edible oil: sub-total (170-174)
        </labl>
        <catStat type="freq">
          38016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          eggs (no.)
        </labl>
        <catStat type="freq">
          15984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          fish, prawn
        </labl>
        <catStat type="freq">
          14404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          goat meat/mutton
        </labl>
        <catStat type="freq">
          9153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          beef/ buffalo meat
        </labl>
        <catStat type="freq">
          3869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          pork
        </labl>
        <catStat type="freq">
          1710
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          chicken
        </labl>
        <catStat type="freq">
          10211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          others (birds, crab, oyster, tortoise, etc.)
        </labl>
        <catStat type="freq">
          894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          egg, fish &amp; meat: sub-total (180-186)
        </labl>
        <catStat type="freq">
          24400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          potato
        </labl>
        <catStat type="freq">
          36613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          onion
        </labl>
        <catStat type="freq">
          37218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          radish
        </labl>
        <catStat type="freq">
          12778
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          carrot
        </labl>
        <catStat type="freq">
          11389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          turnip
        </labl>
        <catStat type="freq">
          1119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          beet
        </labl>
        <catStat type="freq">
          3038
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          sweet potato
        </labl>
        <catStat type="freq">
          1504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          arum
        </labl>
        <catStat type="freq">
          6031
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          pumpkin
        </labl>
        <catStat type="freq">
          14122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          gourd
        </labl>
        <catStat type="freq">
          15962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          bitter gourd
        </labl>
        <catStat type="freq">
          11828
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          cucumber
        </labl>
        <catStat type="freq">
          12207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          parwal/ patal
        </labl>
        <catStat type="freq">
          6375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          jhinga/ torai
        </labl>
        <catStat type="freq">
          9185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          snake gourd
        </labl>
        <catStat type="freq">
          3599
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          papaya (green)
        </labl>
        <catStat type="freq">
          4500
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          cauliflower
        </labl>
        <catStat type="freq">
          16228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          cabbage
        </labl>
        <catStat type="freq">
          20901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          brinjal
        </labl>
        <catStat type="freq">
          29495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          lady’s finger
        </labl>
        <catStat type="freq">
          20172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          palak/ other leafy vegetables
        </labl>
        <catStat type="freq">
          28424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          french beans and barbati
        </labl>
        <catStat type="freq">
          9599
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          tomato
        </labl>
        <catStat type="freq">
          32422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          peas
        </labl>
        <catStat type="freq">
          5773
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          chillis (green)
        </labl>
        <catStat type="freq">
          33917
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          capsicum
        </labl>
        <catStat type="freq">
          1798
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          plantain (green)
        </labl>
        <catStat type="freq">
          3577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          jackfruit (green)
        </labl>
        <catStat type="freq">
          1557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          lemon (no.)
        </labl>
        <catStat type="freq">
          19150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          other vegetables
        </labl>
        <catStat type="freq">
          21642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          vegetables: sub-total (190-222)
        </labl>
        <catStat type="freq">
          38206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          banana (no.)
        </labl>
        <catStat type="freq">
          25015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          jackfruit
        </labl>
        <catStat type="freq">
          420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          watermelon
        </labl>
        <catStat type="freq">
          2342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          pineapple (no.)
        </labl>
        <catStat type="freq">
          1202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          coconut (no.)
        </labl>
        <catStat type="freq">
          11264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          guava
        </labl>
        <catStat type="freq">
          5563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          singara
        </labl>
        <catStat type="freq">
          719
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          orange, mausami (no.)
        </labl>
        <catStat type="freq">
          7352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          papaya
        </labl>
        <catStat type="freq">
          2753
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          mango
        </labl>
        <catStat type="freq">
          5443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          kharbooza
        </labl>
        <catStat type="freq">
          952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          pears (naspati)
        </labl>
        <catStat type="freq">
          420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          berries
        </labl>
        <catStat type="freq">
          508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          leechi
        </labl>
        <catStat type="freq">
          409
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          apple
        </labl>
        <catStat type="freq">
          10751
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          grapes
        </labl>
        <catStat type="freq">
          6262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          other fresh fruits
        </labl>
        <catStat type="freq">
          4976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          fruits (fresh): sub-total (230-247)
        </labl>
        <catStat type="freq">
          33708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          coconut (copra)
        </labl>
        <catStat type="freq">
          4144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          groundnut
        </labl>
        <catStat type="freq">
          8991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          dates
        </labl>
        <catStat type="freq">
          1954
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          cashewnut
        </labl>
        <catStat type="freq">
          2177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          walnut
        </labl>
        <catStat type="freq">
          199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          other nuts
        </labl>
        <catStat type="freq">
          499
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          raisin (kishmish, monacca, etc.)
        </labl>
        <catStat type="freq">
          3380
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          other dry fruits
        </labl>
        <catStat type="freq">
          1704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          fruits (dry): sub-total (250-257)
        </labl>
        <catStat type="freq">
          13697
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          sugar - PDS
        </labl>
        <catStat type="freq">
          7111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          sugar - other sources
        </labl>
        <catStat type="freq">
          33752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          gur
        </labl>
        <catStat type="freq">
          9091
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          candy (misri)
        </labl>
        <catStat type="freq">
          392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          honey
        </labl>
        <catStat type="freq">
          432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          sugar: sub-total (260-264)
        </labl>
        <catStat type="freq">
          37381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          salt
        </labl>
        <catStat type="freq">
          38184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          turmeric (gm)
        </labl>
        <catStat type="freq">
          37420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          black pepper (gm)
        </labl>
        <catStat type="freq">
          13490
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          dry chillies (gm)
        </labl>
        <catStat type="freq">
          35204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          garlic (gm)
        </labl>
        <catStat type="freq">
          33442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          tamarind (gm)
        </labl>
        <catStat type="freq">
          10847
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          ginger (gm)
        </labl>
        <catStat type="freq">
          26315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          curry powder (gm)
        </labl>
        <catStat type="freq">
          11113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          oilseeds (gm)
        </labl>
        <catStat type="freq">
          17163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          other spices (gm)
        </labl>
        <catStat type="freq">
          34214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          spices: sub-total (280-288)
        </labl>
        <catStat type="freq">
          38148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          tea : cups (no.)
        </labl>
        <catStat type="freq">
          20516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          tea : leaf (gm)
        </labl>
        <catStat type="freq">
          34302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          coffee : cups (no.)
        </labl>
        <catStat type="freq">
          605
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          coffee: powder (gm)
        </labl>
        <catStat type="freq">
          3228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          mineral water, ice
        </labl>
        <catStat type="freq">
          451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          cold beverages: bottled/canned (litre)
        </labl>
        <catStat type="freq">
          2550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          fruit juice and shake (litre)
        </labl>
        <catStat type="freq">
          1061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          coconut: green (no.)
        </labl>
        <catStat type="freq">
          1593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          other beverages (cocoa, etc.)
        </labl>
        <catStat type="freq">
          1619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          biscuits
        </labl>
        <catStat type="freq">
          26703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          salted refreshments
        </labl>
        <catStat type="freq">
          20554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          prepared sweets
        </labl>
        <catStat type="freq">
          11070
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          cooked meals (no.)
        </labl>
        <catStat type="freq">
          4028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          cake, pastry
        </labl>
        <catStat type="freq">
          964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          pickles (gm)
        </labl>
        <catStat type="freq">
          6826
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          sauce (gm)
        </labl>
        <catStat type="freq">
          857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          jam, jelly (gm)
        </labl>
        <catStat type="freq">
          798
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          other processed food
        </labl>
        <catStat type="freq">
          14151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          beverages, etc.: sub-total (290-308)
        </labl>
        <catStat type="freq">
          39115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          pan : leaf (no.)
        </labl>
        <catStat type="freq">
          4469
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          pan : finished (no.)
        </labl>
        <catStat type="freq">
          5057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          supari (gm)
        </labl>
        <catStat type="freq">
          5596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          lime (gm)
        </labl>
        <catStat type="freq">
          6549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          katha (gm)
        </labl>
        <catStat type="freq">
          1054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          other ingredients for pan (gm)
        </labl>
        <catStat type="freq">
          2090
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          pan: sub-total (310-315)
        </labl>
        <catStat type="freq">
          11904
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          bidi (no.)
        </labl>
        <catStat type="freq">
          9090
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          cigarettes (no.)
        </labl>
        <catStat type="freq">
          3711
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          leaf tobacco (gm)
        </labl>
        <catStat type="freq">
          5822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          snuff (gm)
        </labl>
        <catStat type="freq">
          334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          hookah tobacco (gm)
        </labl>
        <catStat type="freq">
          681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          cheroot (no.)
        </labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          zarda, kimam, surti (gm)
        </labl>
        <catStat type="freq">
          1728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          other tobacco products (gm)
        </labl>
        <catStat type="freq">
          3227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          tobacco: sub-total (320-327)
        </labl>
        <catStat type="freq">
          19848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          ganja
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          toddy (litre)
        </labl>
        <catStat type="freq">
          625
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          country liquor (litre)
        </labl>
        <catStat type="freq">
          3169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          beer (litre)
        </labl>
        <catStat type="freq">
          401
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          foreign liquor or refined liquor (litre)
        </labl>
        <catStat type="freq">
          1473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          other intoxicants
        </labl>
        <catStat type="freq">
          373
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          intoxicants: sub-total (330-335)
        </labl>
        <catStat type="freq">
          5688
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V131" name="B5_q3" files="F4" dcml="3" intrvl="contin">
      <location StartPos="51" EndPos="59" width="9" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.001" max="37850"/>
      </valrng>
      <sumStat type="vald">
        1658376
      </sumStat>
      <sumStat type="invd">
        230798
      </sumStat>
      <sumStat type="min">
        0.001
      </sumStat>
      <sumStat type="max">
        37850
      </sumStat>
      <sumStat type="mean">
        80.237
      </sumStat>
      <sumStat type="stdev">
        267.813
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V132" name="B5_q4" files="F4" dcml="2" intrvl="contin">
      <location StartPos="60" EndPos="67" width="8" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the purchase of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.05" max="30795.75"/>
      </valrng>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.05
      </sumStat>
      <sumStat type="max">
        30795.75
      </sumStat>
      <sumStat type="mean">
        91.615
      </sumStat>
      <sumStat type="stdev">
        199.648
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V133" name="B5_q5" files="F4" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Source Code
      </labl>
      <qstn>
        <qstnLit>
          What was the source of obtaining the item?
        </qstnLit>
        <ivuInstr><![CDATA[The source from which the item has been procured and consumed by the household will be recorded in terms of codes. The codes to be used are:

only purchase .......................................	1	only exchange of goods and services...	5	
only home-grown stock.........................	2	only gifts/ charities…………………...	6	
both purchase and home-grown stock ..	3	others ......................………………….	9	
only free collection .……………….….	4]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        1473376
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          only purchase
        </labl>
        <catStat type="freq">
          1379127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          only home-grown stock
        </labl>
        <catStat type="freq">
          72886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          both purchase and home-grown stock
        </labl>
        <catStat type="freq">
          6427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          only free collection
        </labl>
        <catStat type="freq">
          4530
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          only exchange of goods and services
        </labl>
        <catStat type="freq">
          1164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          only gifts / charities
        </labl>
        <catStat type="freq">
          3526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          5716
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V134" name="NSS" files="F4" intrvl="discrete">
      <location StartPos="69" EndPos="70" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V135" name="NSC" files="F4" intrvl="discrete">
      <location StartPos="71" EndPos="73" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V136" name="MLT" files="F4" dcml="2" intrvl="contin">
      <location StartPos="74" EndPos="82" width="9" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.51" max="703464.23"/>
      </valrng>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.51
      </sumStat>
      <sumStat type="max">
        703464.23
      </sumStat>
      <sumStat type="mean">
        10118.874
      </sumStat>
      <sumStat type="stdev">
        21888.139
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V138" name="WGT_SS" wgt="wgt" files="F4" dcml="2" intrvl="contin">
      <location StartPos="83" EndPos="89" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0051" max="7034.6423"/>
      </valrng>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0051
      </sumStat>
      <sumStat type="max">
        7034.642
      </sumStat>
      <sumStat type="mean">
        101.189
      </sumStat>
      <sumStat type="stdev">
        218.881
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V139" name="WGT_SS_Combined" wgt="wgt" files="F4" dcml="2" intrvl="contin">
      <location StartPos="90" EndPos="96" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.00255" max="3517.32115"/>
      </valrng>
      <sumStat type="vald">
        1889174
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.00255
      </sumStat>
      <sumStat type="max">
        3517.321
      </sumStat>
      <sumStat type="mean">
        50.708
      </sumStat>
      <sumStat type="stdev">
        109.459
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V368" name="HHID" files="F5" intrvl="discrete">
      <location StartPos="96" EndPos="104" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V141" name="CentreCodeRoundShift" files="F5" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre code, Round, Shift
      </labl>
      <qstn>
        <qstnLit>
          Centre code, Round, Shift
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V142" name="Vill_Blk_Slno" files="F5" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        201946
      </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. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V143" name="Round" files="F5" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          62
        </catValu>
        <catStat type="freq">
          201946
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V144" name="ScheduleNumber" files="F5" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          010
        </catValu>
        <catStat type="freq">
          201946
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V145" name="Sample" files="F5" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V146" name="Sector" files="F5" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </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">
        201946
      </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">
          101272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          100674
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V147" name="St_Region" files="F5" intrvl="discrete">
      <location StartPos="25" EndPos="27" 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">
        201946
      </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="V165" name="State" files="F5" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          6563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          3796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          7269
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          1928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          4693
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1660
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          10199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          20751
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          10795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          2833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1958
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          3681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          7068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          14802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          6697
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          7238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          2710
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          10674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          7749
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          15300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          13014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          8015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          9177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          13075
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          1011
        </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="District" files="F5" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
        <ivuInstr>
          District to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V149" name="Stratum" files="F5" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum Number
      </labl>
      <qstn>
        <qstnLit>
          Stratum Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V150" name="SubStratum" files="F5" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V151" name="SubRound" files="F5" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        201946
      </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">
          48790
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub-round 2
        </labl>
        <catStat type="freq">
          50950
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub-round 3
        </labl>
        <catStat type="freq">
          51323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub-round 4
        </labl>
        <catStat type="freq">
          50883
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V152" name="SubSample" files="F5" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub - sample
      </labl>
      <qstn>
        <qstnLit>
          Sub - sample
        </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">
        201946
      </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 sample
        </labl>
        <catStat type="freq">
          106263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          95683
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V153" name="FODSubRegion" files="F5" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V154" name="SegmentNo" files="F5" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Segment Number
      </labl>
      <qstn>
        <qstnLit>
          Segment Number
        </qstnLit>
        <ivuInstr><![CDATA[Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.

Listing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.

Formation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.

A large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's/sb's formed in the FSU, two hg's/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg/sb may be selected randomly and termed as Segment 2. 

Listing and selection of households/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg/sb formation will not have segment 2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V155" name="Stage2_Stratum" files="F5" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
        <ivuInstr>
          Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V367" name="Hhold_no" files="F5" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          141010
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          58241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          1526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          1169
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V157" name="Level" files="F5" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <qstn>
        <qstnLit>
          Level
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          201946
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V158" name="B6_q1" files="F5" intrvl="discrete">
      <location StartPos="48" EndPos="50" width="3" RecSegNo="1"/>
      <labl><![CDATA[Block 6  Item Code]]></labl>
      <qstn>
        <qstnLit><![CDATA[Block 6  Item Code]]></qstnLit>
      </qstn>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          coke
        </labl>
        <catStat type="freq">
          278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          firewood and chips
        </labl>
        <catStat type="freq">
          21949
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          electricity (std. unit)
        </labl>
        <catStat type="freq">
          31720
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          dung cake
        </labl>
        <catStat type="freq">
          8031
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          kerosene - PDS (litre)
        </labl>
        <catStat type="freq">
          18902
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          kerosene - other sources (litre)
        </labl>
        <catStat type="freq">
          10492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          matches (box)
        </labl>
        <catStat type="freq">
          37241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          coal
        </labl>
        <catStat type="freq">
          846
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          LPG
        </labl>
        <catStat type="freq">
          17993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          charcoal
        </labl>
        <catStat type="freq">
          215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          candle (no.)
        </labl>
        <catStat type="freq">
          12429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          gobar gas
        </labl>
        <catStat type="freq">
          142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          other fuel
        </labl>
        <catStat type="freq">
          2446
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          fuel and light: sub-total (340-353)
        </labl>
        <catStat type="freq">
          39262
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V159" name="B6_q3" files="F5" dcml="3" intrvl="contin">
      <location StartPos="51" EndPos="58" width="8" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.015" max="6525"/>
      </valrng>
      <sumStat type="vald">
        152041
      </sumStat>
      <sumStat type="invd">
        49905
      </sumStat>
      <sumStat type="min">
        0.015
      </sumStat>
      <sumStat type="max">
        6525
      </sumStat>
      <sumStat type="mean">
        41.183
      </sumStat>
      <sumStat type="stdev">
        80.384
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V160" name="B6_q4" files="F5" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="66" width="8" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the purchase of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.5" max="10900"/>
      </valrng>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        10900
      </sumStat>
      <sumStat type="mean">
        166.42
      </sumStat>
      <sumStat type="stdev">
        227.204
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V161" name="B6_q5" files="F5" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        Source Code
      </labl>
      <qstn>
        <qstnLit>
          What was the source of obtaining the item?
        </qstnLit>
        <ivuInstr><![CDATA[The source from which the item has been procured and consumed by the household will be recorded in terms of codes. The codes to be used are:

only purchase .......................................	1	only exchange of goods and services...	5	
only home-grown stock.........................	2	only gifts/ charities…………………...	6	
both purchase and home-grown stock ..	3	others ......................………………….	9	
only free collection .……………….….	4]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        143264
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          only purchase
        </labl>
        <catStat type="freq">
          120499
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          only home-grown stock
        </labl>
        <catStat type="freq">
          9765
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          both purchase and home-grown stock
        </labl>
        <catStat type="freq">
          1215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          only free collection
        </labl>
        <catStat type="freq">
          9130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          only exchange of goods and services
        </labl>
        <catStat type="freq">
          310
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          only gifts / charities
        </labl>
        <catStat type="freq">
          214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          2131
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V162" name="NSS" files="F5" intrvl="discrete">
      <location StartPos="68" EndPos="69" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V163" name="NSC" files="F5" intrvl="discrete">
      <location StartPos="70" EndPos="72" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V164" name="MLT" files="F5" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="81" width="9" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.51" max="703464.23"/>
      </valrng>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.51
      </sumStat>
      <sumStat type="max">
        703464.23
      </sumStat>
      <sumStat type="mean">
        10567.615
      </sumStat>
      <sumStat type="stdev">
        22820.512
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V166" name="WGT_SS" wgt="wgt" files="F5" dcml="2" intrvl="contin">
      <location StartPos="82" EndPos="88" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0051" max="7034.6423"/>
      </valrng>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0051
      </sumStat>
      <sumStat type="max">
        7034.642
      </sumStat>
      <sumStat type="mean">
        105.676
      </sumStat>
      <sumStat type="stdev">
        228.205
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V167" name="WGT_SS_Combined" wgt="wgt" files="F5" dcml="2" intrvl="contin">
      <location StartPos="89" EndPos="95" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.00255" max="3517.32115"/>
      </valrng>
      <sumStat type="vald">
        201946
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.00255
      </sumStat>
      <sumStat type="max">
        3517.321
      </sumStat>
      <sumStat type="mean">
        52.957
      </sumStat>
      <sumStat type="stdev">
        114.119
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V370" name="HHID" files="F11" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V308" name="CentreCodeRoundShift" files="F11" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre code, Round, Shift
      </labl>
      <qstn>
        <qstnLit>
          Centre code, Round, Shift
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V309" name="Vill_Blk_Slno" files="F11" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        348850
      </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. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V310" name="Round" files="F11" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          62
        </catValu>
        <catStat type="freq">
          348850
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V311" name="ScheduleNumber" files="F11" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          010
        </catValu>
        <catStat type="freq">
          348850
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V312" name="Sample" files="F11" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V313" name="Sector" files="F11" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </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">
        348850
      </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">
          170657
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          178193
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V314" name="St_Region" files="F11" intrvl="discrete">
      <location StartPos="25" EndPos="27" 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">
        348850
      </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="V331" name="State" files="F11" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          9549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          6948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          12456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          544
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          3294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          7582
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          3323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          19308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          37066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          20083
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          2614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          2692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          2805
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          3332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          3245
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          6729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          3771
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          13742
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          25328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          12055
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          12183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          5478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          18947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          14847
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          643
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          25884
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          20049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          13124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          1276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          14178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          21611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          1134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          1720
        </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="District" files="F11" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
        <ivuInstr>
          District to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V316" name="Stratum" files="F11" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum Number
      </labl>
      <qstn>
        <qstnLit>
          Stratum Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V317" name="SubStratum" files="F11" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V318" name="SubRound" files="F11" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        348850
      </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">
          86785
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub-round 2
        </labl>
        <catStat type="freq">
          87356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub-round 3
        </labl>
        <catStat type="freq">
          87427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub-round 4
        </labl>
        <catStat type="freq">
          87282
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V319" name="SubSample" files="F11" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub - sample
      </labl>
      <qstn>
        <qstnLit>
          Sub - sample
        </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">
        348850
      </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 sample
        </labl>
        <catStat type="freq">
          182533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          166317
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V320" name="FODSubRegion" files="F11" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V321" name="SegmentNo" files="F11" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Segment Number
      </labl>
      <qstn>
        <qstnLit>
          Segment Number
        </qstnLit>
        <ivuInstr><![CDATA[Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.

Listing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.

Formation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.

A large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's/sb's formed in the FSU, two hg's/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg/sb may be selected randomly and termed as Segment 2. 

Listing and selection of households/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg/sb formation will not have segment 2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V322" name="Stage2_Stratum" files="F11" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
        <ivuInstr>
          Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V369" name="Hhold_no" files="F11" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="2"/>
      <labl>
        Sample Household Number
      </labl>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          242188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          102262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          2515
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          1885
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V324" name="Level" files="F11" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <qstn>
        <qstnLit>
          Level
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          05
        </catValu>
        <catStat type="freq">
          348850
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V325" name="B7_q1" files="F11" intrvl="discrete">
      <location StartPos="48" EndPos="50" width="3" RecSegNo="1"/>
      <labl><![CDATA[Block 7  Item Code]]></labl>
      <qstn>
        <qstnLit><![CDATA[Block 7  Item Code]]></qstnLit>
      </qstn>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          dhoti (no.)
        </labl>
        <catStat type="freq">
          8767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          sari (no.)
        </labl>
        <catStat type="freq">
          28354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          cloth for shirt, pyjama, salwar, etc. (metre)
        </labl>
        <catStat type="freq">
          31511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          cloth for coat, trousers, overcoat, etc. (metre)
        </labl>
        <catStat type="freq">
          23930
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          chaddar, dupatta, shawl, etc. (no.)
        </labl>
        <catStat type="freq">
          13600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          lungi (no.)
        </labl>
        <catStat type="freq">
          21628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          gamchha, towel, handkerchief (no.)
        </labl>
        <catStat type="freq">
          33423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          hosiery articles, stockings, undergarments, etc.(no.)
        </labl>
        <catStat type="freq">
          35358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl><![CDATA[ready-made garments (no.)   ]]></labl>
        <catStat type="freq">
          31816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          headwear (no.)
        </labl>
        <catStat type="freq">
          3386
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          knitted garments, sweater, pullover, cardigan, muffler, scarf, etc. (no.)
        </labl>
        <catStat type="freq">
          13102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          knitting wool, cotton yarn (gm)
        </labl>
        <catStat type="freq">
          1456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          clothing: others
        </labl>
        <catStat type="freq">
          7129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          clothing: second-hand
        </labl>
        <catStat type="freq">
          2776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          clothing: sub-total (360-374)
        </labl>
        <catStat type="freq">
          39271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          bed sheet, bed cover (no.)
        </labl>
        <catStat type="freq">
          16754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          rug, blanket (no.)
        </labl>
        <catStat type="freq">
          4398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          pillow, quilt, mattress (no.)
        </labl>
        <catStat type="freq">
          3676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          cloth for upholstery, curtain, table-cloth, etc. (metre)
        </labl>
        <catStat type="freq">
          1136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          mosquito net (no.)
        </labl>
        <catStat type="freq">
          2750
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          mats and matting (no.)
        </labl>
        <catStat type="freq">
          1991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          cotton (gm)
        </labl>
        <catStat type="freq">
          608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          bedding: others
        </labl>
        <catStat type="freq">
          1077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          bedding, etc.: sub-total (380-387)
        </labl>
        <catStat type="freq">
          20953
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V326" name="B7_q3" files="F11" dcml="3" intrvl="contin">
      <location StartPos="51" EndPos="59" width="9" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the clothing item was purchased by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.001" max="27000"/>
      </valrng>
      <sumStat type="vald">
        277627
      </sumStat>
      <sumStat type="invd">
        71223
      </sumStat>
      <sumStat type="min">
        0.001
      </sumStat>
      <sumStat type="max">
        27000
      </sumStat>
      <sumStat type="mean">
        15.435
      </sumStat>
      <sumStat type="stdev">
        222.957
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V327" name="B7_q4" files="F11" dcml="2" intrvl="contin">
      <location StartPos="60" EndPos="67" width="8" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the purchase of the clothing item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.27" max="61830"/>
      </valrng>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.27
      </sumStat>
      <sumStat type="max">
        61830
      </sumStat>
      <sumStat type="mean">
        747.128
      </sumStat>
      <sumStat type="stdev">
        1355.922
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V328" name="NSS" files="F11" intrvl="discrete">
      <location StartPos="68" EndPos="69" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V329" name="NSC" files="F11" intrvl="discrete">
      <location StartPos="70" EndPos="72" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V330" name="MLT" files="F11" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="81" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.51" max="703464.23"/>
      </valrng>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.51
      </sumStat>
      <sumStat type="max">
        703464.23
      </sumStat>
      <sumStat type="mean">
        10237.198
      </sumStat>
      <sumStat type="stdev">
        22513.032
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V332" name="WGT_SS" wgt="wgt" files="F11" dcml="2" intrvl="contin">
      <location StartPos="82" EndPos="88" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0051" max="7034.6423"/>
      </valrng>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0051
      </sumStat>
      <sumStat type="max">
        7034.642
      </sumStat>
      <sumStat type="mean">
        102.372
      </sumStat>
      <sumStat type="stdev">
        225.13
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V333" name="WGT_SS_Combined" wgt="wgt" files="F11" dcml="2" intrvl="contin">
      <location StartPos="89" EndPos="95" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.00255" max="3517.32115"/>
      </valrng>
      <sumStat type="vald">
        348850
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.00255
      </sumStat>
      <sumStat type="max">
        3517.321
      </sumStat>
      <sumStat type="mean">
        51.303
      </sumStat>
      <sumStat type="stdev">
        112.597
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V373" name="HHID" files="F7" intrvl="discrete">
      <location StartPos="91" EndPos="99" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V196" name="CentreCodeRoundShift" files="F7" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre code, Round, Shift
      </labl>
      <qstn>
        <qstnLit>
          Centre code, Round, Shift
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V197" name="Vill_Blk_Slno" files="F7" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        123087
      </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. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V198" name="Round" files="F7" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          62
        </catValu>
        <catStat type="freq">
          123087
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V199" name="ScheduleNumber" files="F7" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          010
        </catValu>
        <catStat type="freq">
          123087
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V200" name="Sample" files="F7" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V201" name="Sector" files="F7" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </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">
        123087
      </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">
          56704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          66383
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V202" name="St_Region" files="F7" intrvl="discrete">
      <location StartPos="25" EndPos="27" 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">
        123087
      </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="V219" name="State" files="F7" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          4459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          3107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          5447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          1142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          3090
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1270
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          7739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          12704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          5504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          927
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          4169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          7972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          3483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          3639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          6600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          5701
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          9925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          7115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          4745
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          7066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          604
        </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="V203" name="District" files="F7" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
        <ivuInstr>
          District to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V204" name="Stratum" files="F7" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum Number
      </labl>
      <qstn>
        <qstnLit>
          Stratum Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V205" name="SubStratum" files="F7" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V206" name="SubRound" files="F7" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        123087
      </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">
          30088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub-round 2
        </labl>
        <catStat type="freq">
          30876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub-round 3
        </labl>
        <catStat type="freq">
          31098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub-round 4
        </labl>
        <catStat type="freq">
          31025
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V207" name="SubSample" files="F7" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub - sample
      </labl>
      <qstn>
        <qstnLit>
          Sub - sample
        </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">
        123087
      </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 sample
        </labl>
        <catStat type="freq">
          64558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          58529
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V208" name="FODSubRegion" files="F7" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V209" name="SegmentNo" files="F7" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Segment Number
      </labl>
      <qstn>
        <qstnLit>
          Segment Number
        </qstnLit>
        <ivuInstr><![CDATA[Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.

Listing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.

Formation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.

A large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's/sb's formed in the FSU, two hg's/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg/sb may be selected randomly and termed as Segment 2. 

Listing and selection of households/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg/sb formation will not have segment 2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V210" name="Stage2_Stratum" files="F7" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
        <ivuInstr>
          Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V372" name="Hhold_no" files="F7" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          84569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          37016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          871
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          631
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V212" name="Level" files="F7" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <qstn>
        <qstnLit>
          Level
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          05
        </catValu>
        <catStat type="freq">
          123087
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V213" name="B8_q1" files="F7" intrvl="discrete">
      <location StartPos="48" EndPos="50" width="3" RecSegNo="1"/>
      <labl><![CDATA[Block 8  Item Code]]></labl>
      <qstn>
        <qstnLit><![CDATA[Block 8  Item Code]]></qstnLit>
      </qstn>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          leather boots, shoes
        </labl>
        <catStat type="freq">
          15017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          leather sandals, chappals, etc.
        </labl>
        <catStat type="freq">
          19197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          other leather footwear
        </labl>
        <catStat type="freq">
          5912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          rubber / PVC footwear
        </labl>
        <catStat type="freq">
          31647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          other footwear
        </labl>
        <catStat type="freq">
          11642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          footwear: second-hand
        </labl>
        <catStat type="freq">
          952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          footwear: sub-total (390-395)
        </labl>
        <catStat type="freq">
          38720
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V214" name="B8_q3" files="F7" dcml="0" intrvl="contin">
      <location StartPos="51" EndPos="54" width="4" RecSegNo="1"/>
      <labl>
        Number of pairs
      </labl>
      <qstn>
        <qstnLit>
          How many pairs of the footwear item were purchased by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="2000"/>
      </valrng>
      <sumStat type="vald">
        123065
      </sumStat>
      <sumStat type="invd">
        22
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2000
      </sumStat>
      <sumStat type="mean">
        3.958
      </sumStat>
      <sumStat type="stdev">
        9.69
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V215" name="B8_q4" files="F7" dcml="2" intrvl="contin">
      <location StartPos="55" EndPos="62" width="8" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the purchase of the footwear item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.6" max="16000"/>
      </valrng>
      <sumStat type="vald">
        123085
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        0.6
      </sumStat>
      <sumStat type="max">
        16000
      </sumStat>
      <sumStat type="mean">
        414.86
      </sumStat>
      <sumStat type="stdev">
        532.371
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V216" name="NSS" files="F7" intrvl="discrete">
      <location StartPos="63" EndPos="64" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V217" name="NSC" files="F7" intrvl="discrete">
      <location StartPos="65" EndPos="67" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V218" name="MLT" files="F7" dcml="2" intrvl="contin">
      <location StartPos="68" EndPos="76" width="9" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.51" max="703464.23"/>
      </valrng>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.51
      </sumStat>
      <sumStat type="max">
        703464.23
      </sumStat>
      <sumStat type="mean">
        9617.162
      </sumStat>
      <sumStat type="stdev">
        21635.869
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V220" name="WGT_SS" wgt="wgt" files="F7" dcml="2" intrvl="contin">
      <location StartPos="77" EndPos="83" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0051" max="7034.6423"/>
      </valrng>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0051
      </sumStat>
      <sumStat type="max">
        7034.642
      </sumStat>
      <sumStat type="mean">
        96.172
      </sumStat>
      <sumStat type="stdev">
        216.359
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V221" name="WGT_SS_Combined" wgt="wgt" files="F7" dcml="2" intrvl="contin">
      <location StartPos="84" EndPos="90" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.00255" max="3517.32115"/>
      </valrng>
      <sumStat type="vald">
        123087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.00255
      </sumStat>
      <sumStat type="max">
        3517.321
      </sumStat>
      <sumStat type="mean">
        48.198
      </sumStat>
      <sumStat type="stdev">
        108.198
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V377" name="HHID" files="F12" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V335" name="CentreCodeRoundShift" files="F12" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre code, Round, Shift
      </labl>
      <qstn>
        <qstnLit>
          Centre code, Round, Shift
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V336" name="Vill_Blk_Slno" files="F12" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        138669
      </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. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V337" name="Round" files="F12" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          62
        </catValu>
        <catStat type="freq">
          138669
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V338" name="ScheduleNumber" files="F12" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          010
        </catValu>
        <catStat type="freq">
          138669
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V339" name="Sample" files="F12" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          138669
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V340" name="Sector" files="F12" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </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">
        138669
      </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">
          63750
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          74919
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V341" name="St_Region" files="F12" intrvl="discrete">
      <location StartPos="25" EndPos="27" 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">
        138669
      </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="V357" name="State" files="F12" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          4654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          2896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          5617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          1318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          3252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          7005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          13685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          6177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1475
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          2275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          2017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          4988
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          10236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          4055
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          4132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          7666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          5509
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          11783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          7637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          5100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          8036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          7659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          367
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          658
        </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="V342" name="District" files="F12" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
        <ivuInstr>
          District to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V343" name="Stratum" files="F12" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum Number
      </labl>
      <qstn>
        <qstnLit>
          Stratum Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V344" name="SubStratum" files="F12" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V345" name="SubRound" files="F12" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        138669
      </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">
          33117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub-round 2
        </labl>
        <catStat type="freq">
          35940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub-round 3
        </labl>
        <catStat type="freq">
          34896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub-round 4
        </labl>
        <catStat type="freq">
          34716
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V346" name="SubSample" files="F12" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub - sample
      </labl>
      <qstn>
        <qstnLit>
          Sub - sample
        </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">
        138669
      </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 sample
        </labl>
        <catStat type="freq">
          72286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          66383
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V347" name="FODSubRegion" files="F12" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V348" name="SegmentNo" files="F12" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Segment Number
      </labl>
      <qstn>
        <qstnLit>
          Segment Number
        </qstnLit>
        <ivuInstr><![CDATA[Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.

Listing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.

Formation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.

A large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's/sb's formed in the FSU, two hg's/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg/sb may be selected randomly and termed as Segment 2. 

Listing and selection of households/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg/sb formation will not have segment 2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V349" name="Stage2_Stratum" files="F12" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
        <ivuInstr>
          Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V376" name="Hhold_no" files="F12" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          95491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          41716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          805
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          657
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V351" name="Level" files="F12" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <qstn>
        <qstnLit>
          Level
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          06
        </catValu>
        <catStat type="freq">
          138669
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V352" name="B9_q1" files="F12" intrvl="discrete">
      <location StartPos="48" EndPos="50" width="3" RecSegNo="1"/>
      <labl><![CDATA[Block 9  Item Code]]></labl>
      <qstn>
        <qstnLit><![CDATA[Block 9  Item Code]]></qstnLit>
      </qstn>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          books, journals
        </labl>
        <catStat type="freq">
          21600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          newspapers, periodicals
        </labl>
        <catStat type="freq">
          8584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          library charges
        </labl>
        <catStat type="freq">
          991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          stationery
        </labl>
        <catStat type="freq">
          23663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          tuition &amp; other fees (school, college etc.)
        </labl>
        <catStat type="freq">
          18903
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          private tutor/ coaching centre
        </labl>
        <catStat type="freq">
          6062
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          other educational expenses
        </labl>
        <catStat type="freq">
          9861
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          education: sub-total (400-406)
        </labl>
        <catStat type="freq">
          27117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          medicine
        </labl>
        <catStat type="freq">
          4962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          X-ray, ECG, pathological test, etc.
        </labl>
        <catStat type="freq">
          2904
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          doctor's/surgeon's fee
        </labl>
        <catStat type="freq">
          3485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          hospital &amp; nursing home charges
        </labl>
        <catStat type="freq">
          2964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          medical insurance premium
        </labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          other medical expenses
        </labl>
        <catStat type="freq">
          2168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          medical - institutional: sub-total (410-415)
        </labl>
        <catStat type="freq">
          5316
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V353" name="B9_q3" files="F12" dcml="2" intrvl="contin">
      <location StartPos="51" EndPos="54" width="4" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the item in the last 365 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        138669
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V354" name="NSS" files="F12" intrvl="discrete">
      <location StartPos="55" EndPos="56" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V355" name="NSC" files="F12" intrvl="discrete">
      <location StartPos="57" EndPos="59" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V356" name="MLT" files="F12" dcml="2" intrvl="contin">
      <location StartPos="60" EndPos="68" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.51" max="664216"/>
      </valrng>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.51
      </sumStat>
      <sumStat type="max">
        664216
      </sumStat>
      <sumStat type="mean">
        9173.21
      </sumStat>
      <sumStat type="stdev">
        20709.293
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V358" name="WGT_SS" wgt="wgt" files="F12" dcml="2" intrvl="contin">
      <location StartPos="69" EndPos="75" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0051" max="6642.16"/>
      </valrng>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0051
      </sumStat>
      <sumStat type="max">
        6642.16
      </sumStat>
      <sumStat type="mean">
        91.732
      </sumStat>
      <sumStat type="stdev">
        207.093
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V359" name="WGT_SS_Combined" wgt="wgt" files="F12" dcml="2" intrvl="contin">
      <location StartPos="76" EndPos="82" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.00255" max="3321.08"/>
      </valrng>
      <sumStat type="vald">
        138669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.00255
      </sumStat>
      <sumStat type="max">
        3321.08
      </sumStat>
      <sumStat type="mean">
        45.965
      </sumStat>
      <sumStat type="stdev">
        103.566
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V380" name="HHID" files="F9" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V249" name="CentreCodeRoundShift" files="F9" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre code, Round, Shift
      </labl>
      <qstn>
        <qstnLit>
          Centre code, Round, Shift
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V250" name="Vill_Blk_Slno" files="F9" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        810313
      </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. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V251" name="Round" files="F9" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          62
        </catValu>
        <catStat type="freq">
          810313
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V252" name="ScheduleNumber" files="F9" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          010
        </catValu>
        <catStat type="freq">
          810313
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V253" name="Sample" files="F9" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V254" name="Sector" files="F9" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </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">
        810313
      </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">
          352178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          458135
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V255" name="St_Region" files="F9" intrvl="discrete">
      <location StartPos="25" EndPos="27" 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">
        810313
      </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="V271" name="State" files="F9" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          24851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          15813
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          31042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          1743
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          6589
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          17304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          8867
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          39504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          79600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          34231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          4351
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          4669
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          6211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          9096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          8234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          12788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          7257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          26901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          57346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          22020
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          24003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          11016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          43203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          37501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          2082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          1906
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          70049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          55675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          35640
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          4099
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          1558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          35823
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          62420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          2889
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          4032
        </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="V256" name="District" files="F9" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
        <ivuInstr>
          District to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V257" name="Stratum" files="F9" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum Number
      </labl>
      <qstn>
        <qstnLit>
          Stratum Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V258" name="SubStratum" files="F9" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V259" name="SubRound" files="F9" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        810313
      </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">
          196851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub-round 2
        </labl>
        <catStat type="freq">
          203350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub-round 3
        </labl>
        <catStat type="freq">
          204556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub-round 4
        </labl>
        <catStat type="freq">
          205556
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V260" name="SubSample" files="F9" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub - sample
      </labl>
      <qstn>
        <qstnLit>
          Sub - sample
        </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">
        810313
      </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 sample
        </labl>
        <catStat type="freq">
          423817
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          386496
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V261" name="FODSubRegion" files="F9" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V262" name="SegmentNo" files="F9" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Segment Number
      </labl>
      <qstn>
        <qstnLit>
          Segment Number
        </qstnLit>
        <ivuInstr><![CDATA[Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.

Listing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.

Formation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.

A large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's/sb's formed in the FSU, two hg's/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg/sb may be selected randomly and termed as Segment 2. 

Listing and selection of households/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg/sb formation will not have segment 2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V263" name="Stage2_Stratum" files="F9" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
        <ivuInstr>
          Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V379" name="Hhold_no" files="F9" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sambple Household Number
      </labl>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          554526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          246101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          5553
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          4133
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V265" name="Level" files="F9" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <qstn>
        <qstnLit>
          Level
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          06
        </catValu>
        <catStat type="freq">
          810313
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V266" name="B10_q1" files="F9" intrvl="discrete">
      <location StartPos="48" EndPos="50" width="3" RecSegNo="1"/>
      <labl><![CDATA[Block 10  Item Code]]></labl>
      <qstn>
        <qstnLit><![CDATA[Block 10  Item Code]]></qstnLit>
      </qstn>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          medicine
        </labl>
        <catStat type="freq">
          26403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          X-ray, ECG, pathological test, etc.
        </labl>
        <catStat type="freq">
          1510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          doctor's/ surgeon's fee
        </labl>
        <catStat type="freq">
          11798
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          family planning appliances
        </labl>
        <catStat type="freq">
          576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          other medical expenses
        </labl>
        <catStat type="freq">
          1444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          medical - non-institutional: sub-total (420-424)
        </labl>
        <catStat type="freq">
          26840
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          cinema, theatre
        </labl>
        <catStat type="freq">
          3489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          mela, fair, picnic
        </labl>
        <catStat type="freq">
          1132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          sports goods, toys, etc.
        </labl>
        <catStat type="freq">
          2249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          club fees
        </labl>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          goods for recreation and hobbies
        </labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          photography
        </labl>
        <catStat type="freq">
          771
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          video cassette/ VCR / VCP - hire
        </labl>
        <catStat type="freq">
          1258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          cable TV
        </labl>
        <catStat type="freq">
          12292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          other entertainment
        </labl>
        <catStat type="freq">
          1211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          entertainment: sub-total (430-438)
        </labl>
        <catStat type="freq">
          17816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          spectacles
        </labl>
        <catStat type="freq">
          330
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          torch
        </labl>
        <catStat type="freq">
          638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          lock
        </labl>
        <catStat type="freq">
          624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          umbrella, raincoat
        </labl>
        <catStat type="freq">
          1140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          lighter (bidi/ cigarette/ gas stove)
        </labl>
        <catStat type="freq">
          1068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          other goods for personal care and effects
        </labl>
        <catStat type="freq">
          3527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          goods for personal care and effects: sub-total (440-445)
        </labl>
        <catStat type="freq">
          6349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          toilet soap
        </labl>
        <catStat type="freq">
          37906
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          toothpaste, toothbrush, comb, etc.
        </labl>
        <catStat type="freq">
          33928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          powder, snow, cream, lotion
        </labl>
        <catStat type="freq">
          20926
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          hair oil, shampoo, hair cream
        </labl>
        <catStat type="freq">
          35869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          shaving blades, shaving stick, razor
        </labl>
        <catStat type="freq">
          22159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          shaving cream
        </labl>
        <catStat type="freq">
          7920
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          sanitary napkins
        </labl>
        <catStat type="freq">
          4731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          other toilet articles
        </labl>
        <catStat type="freq">
          11917
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          toilet articles: sub-total (450-457)
        </labl>
        <catStat type="freq">
          39249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          electric bulb, tubelight
        </labl>
        <catStat type="freq">
          9802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          electric batteries
        </labl>
        <catStat type="freq">
          3231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          other non-durable electric goods
        </labl>
        <catStat type="freq">
          214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          earthenware
        </labl>
        <catStat type="freq">
          2364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          glassware
        </labl>
        <catStat type="freq">
          657
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          bucket, water bottle/ feeding bottle &amp; other plastic goods
        </labl>
        <catStat type="freq">
          2407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          coir, rope, etc.
        </labl>
        <catStat type="freq">
          818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          washing soap/soda
        </labl>
        <catStat type="freq">
          38311
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          other washing requisites
        </labl>
        <catStat type="freq">
          18136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          incense (agarbatti), room freshener
        </labl>
        <catStat type="freq">
          25800
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          flower (fresh): all purposes
        </labl>
        <catStat type="freq">
          6231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          insecticide, acid, etc.
        </labl>
        <catStat type="freq">
          7853
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          other petty articles
        </labl>
        <catStat type="freq">
          11614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl><![CDATA[sundry articles: sub-total      (460-473)]]></labl>
        <catStat type="freq">
          39178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          domestic servant/cook
        </labl>
        <catStat type="freq">
          2108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          attendant
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          sweeper
        </labl>
        <catStat type="freq">
          2228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          barber, beautician, etc.
        </labl>
        <catStat type="freq">
          32003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          washerman, laundry, ironing
        </labl>
        <catStat type="freq">
          6098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          tailor
        </labl>
        <catStat type="freq">
          6271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          486
        </catValu>
        <labl>
          priest
        </labl>
        <catStat type="freq">
          4005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          487
        </catValu>
        <labl>
          legal expenses
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          488
        </catValu>
        <labl>
          telephone charges: landline
        </labl>
        <catStat type="freq">
          16646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          telephone charges: mobile
        </labl>
        <catStat type="freq">
          7058
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          postage &amp; telegram
        </labl>
        <catStat type="freq">
          1831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          miscellaneous expenses
        </labl>
        <catStat type="freq">
          13696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          grinding charges
        </labl>
        <catStat type="freq">
          18982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          repair charges for non-durables
        </labl>
        <catStat type="freq">
          1308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          495
        </catValu>
        <labl>
          pet animals (incl. birds, fish)
        </labl>
        <catStat type="freq">
          1072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          other consumer services excluding conveyance
        </labl>
        <catStat type="freq">
          3526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          consumer services excluding conveyance: sub-total (480-496)
        </labl>
        <catStat type="freq">
          38202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          air fare
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          railway fare
        </labl>
        <catStat type="freq">
          2258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          bus/tram fare
        </labl>
        <catStat type="freq">
          22491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          taxi, auto-rickshaw fare
        </labl>
        <catStat type="freq">
          9465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          steamer, boat fare
        </labl>
        <catStat type="freq">
          243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          rickshaw (hand drawn &amp; cycle) fare
        </labl>
        <catStat type="freq">
          3540
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          horse cart fare
        </labl>
        <catStat type="freq">
          285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          porter charges
        </labl>
        <catStat type="freq">
          481
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          diesel for vehicle
        </labl>
        <catStat type="freq">
          353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl><![CDATA[petrol, other fuels & lubricants        for vehicle]]></labl>
        <catStat type="freq">
          8520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          school bus/van
        </labl>
        <catStat type="freq">
          1258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          other conveyance expenses
        </labl>
        <catStat type="freq">
          640
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          conveyance : sub-total (500-512)
        </labl>
        <catStat type="freq">
          32068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          house rent, garage rent (actual)
        </labl>
        <catStat type="freq">
          6711
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          hotel lodging charges
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          residential land rent
        </labl>
        <catStat type="freq">
          837
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          other consumer rent
        </labl>
        <catStat type="freq">
          301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          rent: sub-total (520-523)
        </labl>
        <catStat type="freq">
          7857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          house rent, garage rent (imputed- urban only)
        </labl>
        <catStat type="freq">
          13607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          water charges
        </labl>
        <catStat type="freq">
          11061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          other consumer taxes &amp; cesses
        </labl>
        <catStat type="freq">
          11530
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          549
        </catValu>
        <labl>
          consumer taxes and cesses: sub-total (540-541)
        </labl>
        <catStat type="freq">
          17514
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V267" name="B10_q3" files="F9" dcml="2" intrvl="contin">
      <location StartPos="51" EndPos="54" width="4" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the item in the last 30 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        810313
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V268" name="NSS" files="F9" intrvl="discrete">
      <location StartPos="55" EndPos="56" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V269" name="NSC" files="F9" intrvl="discrete">
      <location StartPos="57" EndPos="59" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V270" name="MLT" files="F9" dcml="2" intrvl="contin">
      <location StartPos="60" EndPos="68" width="9" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.51" max="703464.23"/>
      </valrng>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.51
      </sumStat>
      <sumStat type="max">
        703464.23
      </sumStat>
      <sumStat type="mean">
        9587.717
      </sumStat>
      <sumStat type="stdev">
        21265.114
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V272" name="WGT_SS" wgt="wgt" files="F9" dcml="2" intrvl="contin">
      <location StartPos="69" EndPos="75" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0051" max="7034.6423"/>
      </valrng>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0051
      </sumStat>
      <sumStat type="max">
        7034.642
      </sumStat>
      <sumStat type="mean">
        95.877
      </sumStat>
      <sumStat type="stdev">
        212.651
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V273" name="WGT_SS_Combined" wgt="wgt" files="F9" dcml="2" intrvl="contin">
      <location StartPos="76" EndPos="82" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.00255" max="3517.32115"/>
      </valrng>
      <sumStat type="vald">
        810313
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.00255
      </sumStat>
      <sumStat type="max">
        3517.321
      </sumStat>
      <sumStat type="mean">
        48.043
      </sumStat>
      <sumStat type="stdev">
        106.34
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V307" name="HHID" files="F10" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a household by combining serial no. of village / block, segment number, second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V275" name="CentreCodeRoundShift" files="F10" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre code, Round, Shift
      </labl>
      <qstn>
        <qstnLit>
          Centre code, Round, Shift
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V276" name="Vill_Blk_Slno" files="F10" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        442842
      </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. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V277" name="Round" files="F10" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          62
        </catValu>
        <catStat type="freq">
          442842
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V278" name="ScheduleNumber" files="F10" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          010
        </catValu>
        <catStat type="freq">
          442842
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V279" name="Sample" files="F10" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V280" name="Sector" files="F10" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </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">
        442842
      </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">
          194405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          248437
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V281" name="St_Region" files="F10" intrvl="discrete">
      <location StartPos="25" EndPos="27" 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">
        442842
      </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="V304" name="State" files="F10" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          17360
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          8863
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          22016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          1012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          4282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          10978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          4523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          21089
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          47746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          19991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          2165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          2231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          4815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          5270
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          6324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          4346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          17454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          28762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          9955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          14136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          6962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          27384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          22252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          1086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          1320
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          35309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          24071
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          14992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          2341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          1024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          19362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          28670
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          1273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          1784
        </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="V282" name="District" files="F10" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
        <ivuInstr>
          District to which the sample village/ block belongs to will be recorded here as per the code list.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V283" name="Stratum" files="F10" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum Number
      </labl>
      <qstn>
        <qstnLit>
          Stratum Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V284" name="SubStratum" files="F10" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V285" name="SubRound" files="F10" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        442842
      </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">
          108182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub-round 2
        </labl>
        <catStat type="freq">
          110293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub-round 3
        </labl>
        <catStat type="freq">
          111833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub-round 4
        </labl>
        <catStat type="freq">
          112534
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V286" name="SubSample" files="F10" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub - sample
      </labl>
      <qstn>
        <qstnLit>
          Sub - sample
        </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">
        442842
      </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 sample
        </labl>
        <catStat type="freq">
          231716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          211126
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V287" name="FODSubRegion" files="F10" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V288" name="SegmentNo" files="F10" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Segment Number
      </labl>
      <qstn>
        <qstnLit>
          Segment Number
        </qstnLit>
        <ivuInstr><![CDATA[Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.

Listing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.

Formation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.

A large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's/sb's formed in the FSU, two hg's/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg/sb may be selected randomly and termed as Segment 2. 

Listing and selection of households/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg/sb formation will not have segment 2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V289" name="Stage2_Stratum" files="F10" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
        <ivuInstr>
          Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V290" name="Hhold_no" files="F10" dcml="0" intrvl="contin">
      <location StartPos="44" EndPos="44" width="1" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <qstn>
        <qstnLit>
          Sample Household Number
        </qstnLit>
        <ivuInstr><![CDATA[Sample household number:  The sample household number (i.e., order of selection)  of the selected household is to be copied from column (11) or (12) of block 5a of Schedule 0.0.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V291" name="Level" files="F10" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <qstn>
        <qstnLit>
          Level
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          07
        </catValu>
        <catStat type="freq">
          442842
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V292" name="B11_q1" files="F10" intrvl="discrete">
      <location StartPos="47" EndPos="49" width="3" RecSegNo="1"/>
      <labl><![CDATA[Block 11  Item Code]]></labl>
      <qstn>
        <qstnLit><![CDATA[Block 11  Item Code]]></qstnLit>
      </qstn>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          bedstead
        </labl>
        <catStat type="freq">
          33787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          almirah, dressing table
        </labl>
        <catStat type="freq">
          22148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          chair, stool, bench, table
        </labl>
        <catStat type="freq">
          698
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          suitcase, trunk, box, handbag and other travel goods
        </labl>
        <catStat type="freq">
          1383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          foam, rubber cushion
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          555
        </catValu>
        <labl>
          carpet, daree &amp; other floor mattings
        </labl>
        <catStat type="freq">
          258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          556
        </catValu>
        <labl>
          paintings, drawings, engravings, etc.
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          557
        </catValu>
        <labl>
          other furniture &amp; fixtures (couch, sofa, etc.)
        </labl>
        <catStat type="freq">
          328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          furniture &amp; fixtures: sub-total (550-557)
        </labl>
        <catStat type="freq">
          3867
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          radio
        </labl>
        <catStat type="freq">
          13163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          television
        </labl>
        <catStat type="freq">
          22750
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          VCR/VCP/DVD player
        </labl>
        <catStat type="freq">
          4347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl>
          camera &amp; photographic equipment
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          564
        </catValu>
        <labl>
          tape recorder, CD player
        </labl>
        <catStat type="freq">
          8958
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          565
        </catValu>
        <labl>
          audio/video cassette, CD, DVD, etc.
        </labl>
        <catStat type="freq">
          2013
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          musical instruments
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          567
        </catValu>
        <labl>
          other goods for recreation
        </labl>
        <catStat type="freq">
          150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          569
        </catValu>
        <labl>
          goods for recreation: sub-total (560-567)
        </labl>
        <catStat type="freq">
          4894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          gold ornaments
        </labl>
        <catStat type="freq">
          2047
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          571
        </catValu>
        <labl>
          silver ornaments
        </labl>
        <catStat type="freq">
          2307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          572
        </catValu>
        <labl>
          jewels, pearls
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          573
        </catValu>
        <labl>
          other ornaments
        </labl>
        <catStat type="freq">
          2426
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          579
        </catValu>
        <labl>
          jewellery &amp; ornaments: sub-total (570-573)
        </labl>
        <catStat type="freq">
          5717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          stainless steel utensils
        </labl>
        <catStat type="freq">
          9959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          other metal utensils
        </labl>
        <catStat type="freq">
          3028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          casseroles, thermos, thermoware
        </labl>
        <catStat type="freq">
          400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          other crockery &amp; utensils
        </labl>
        <catStat type="freq">
          5405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          589
        </catValu>
        <labl>
          crockery &amp; utensils: sub-total (580-583)
        </labl>
        <catStat type="freq">
          14241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          590
        </catValu>
        <labl>
          electric fan
        </labl>
        <catStat type="freq">
          27102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          air conditioner, air cooler
        </labl>
        <catStat type="freq">
          4981
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          lantern, lamp, electric lampshade
        </labl>
        <catStat type="freq">
          311
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          593
        </catValu>
        <labl>
          sewing machine
        </labl>
        <catStat type="freq">
          8453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          594
        </catValu>
        <labl>
          washing machine
        </labl>
        <catStat type="freq">
          3239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          595
        </catValu>
        <labl>
          stove
        </labl>
        <catStat type="freq">
          19921
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          596
        </catValu>
        <labl>
          pressure cooker/ pressure pan
        </labl>
        <catStat type="freq">
          20849
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          597
        </catValu>
        <labl>
          refrigerator
        </labl>
        <catStat type="freq">
          9035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          water purifier
        </labl>
        <catStat type="freq">
          2279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          electric iron, heater, toaster, oven &amp; other electric heating appliances
        </labl>
        <catStat type="freq">
          801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          other cooking/ household appliances
        </labl>
        <catStat type="freq">
          1132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          cooking &amp; other household appliances: sub-total (590-601)
        </labl>
        <catStat type="freq">
          8116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          bicycle
        </labl>
        <catStat type="freq">
          18527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          motor cycle, scooter
        </labl>
        <catStat type="freq">
          9003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          motor car, jeep
        </labl>
        <catStat type="freq">
          1371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          tyres &amp; tubes
        </labl>
        <catStat type="freq">
          6174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          other transport equipment
        </labl>
        <catStat type="freq">
          119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl><![CDATA[ personal transport equipment: sub-total  (610-614)]]></labl>
        <catStat type="freq">
          20618
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          glass eyes, hearing aids &amp; orthopaedic equipment
        </labl>
        <catStat type="freq">
          227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          other medical equipment
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          629
        </catValu>
        <labl>
          therapeutic appliances: sub-total (620-621)
        </labl>
        <catStat type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          clock, watch
        </labl>
        <catStat type="freq">
          32896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          other machines for household work
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          personal computer
        </labl>
        <catStat type="freq">
          761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          633
        </catValu>
        <labl>
          mobile handset
        </labl>
        <catStat type="freq">
          6369
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          telephone instrument (landline)
        </labl>
        <catStat type="freq">
          7342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          635
        </catValu>
        <labl>
          any other personal goods
        </labl>
        <catStat type="freq">
          159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl>
          other personal goods: sub-total (630-635)
        </labl>
        <catStat type="freq">
          6518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          bathroom and sanitary equipment
        </labl>
        <catStat type="freq">
          617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          plugs, switches &amp; other electrical fittings
        </labl>
        <catStat type="freq">
          1468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          residential building &amp; land (cost of repairs only)
        </labl>
        <catStat type="freq">
          13178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          other durables (specify)…................
        </labl>
        <catStat type="freq">
          292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          residential building, land and other durables: sub-total (640-643)
        </labl>
        <catStat type="freq">
          14376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl><![CDATA[durable  goods: total (559+569+579+589+609+619+629+639+649)]]></labl>
        <catStat type="freq">
          31771
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V293" name="B11_q3" files="F10" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="52" width="3" 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>
        <ivuInstr>
          The number in use on the date of survey of each item of durable goods will be entered in this column. It will also include those items which may not be in use temporarily but are likely to be put into use after repair/necessary servicing. For certain items the entry cell has been shaded in this column; this means that column (3) need not be filled in.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="630"/>
      </valrng>
      <sumStat type="vald">
        276659
      </sumStat>
      <sumStat type="invd">
        166183
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        630
      </sumStat>
      <sumStat type="mean">
        1.7
      </sumStat>
      <sumStat type="stdev">
        1.857
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V294" name="B11_q4" files="F10" dcml="0" intrvl="contin">
      <location StartPos="53" EndPos="54" width="2" RecSegNo="1"/>
      <labl>
        First hand purchase - number
      </labl>
      <qstn>
        <qstnLit>
          How many numbers of the item were first hand purchase?
        </qstnLit>
        <ivuInstr>
          The number of each item of durable goods purchased (first-hand) for which some expenditure has been incurred during the reference period will be recorded in this column.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="20"/>
      </valrng>
      <sumStat type="vald">
        10341
      </sumStat>
      <sumStat type="invd">
        432501
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V295" name="B11_q5" files="F10" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        First hand purchase - whether hire purchased
      </labl>
      <qstn>
        <qstnLit>
          Whether the item was hire purchased?
        </qstnLit>
        <ivuInstr><![CDATA[If an item of durable goods is purchased on instalment payment and the expenditure made on it during the reference period consists of one or more such instalment payments, code 1 will be recorded in this column.  Otherwise i.e., when durable goods are purchased and entire amount is paid during the 4.11.0	reference period, code 2 will be recorded in this column.

Note: If more than one of a particular item are purchased during the reference period and some of them are purchased on hire-purchase basis and the remaining are purchased outright, then code 1 will be recorded in this column.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        42713
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          3466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          39247
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V296" name="B11_q6" files="F10" dcml="0" intrvl="contin">
      <location StartPos="56" EndPos="61" width="6" RecSegNo="1"/>
      <labl>
        First hand purchase - value (in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much did the household spend on the item of the first hand purchase?
        </qstnLit>
        <ivuInstr>
          Value of first-hand purchase during the reference period will be entered in this column. The total amount paid during the reference period will be recorded here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="750000"/>
      </valrng>
      <sumStat type="vald">
        100910
      </sumStat>
      <sumStat type="invd">
        341932
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        750000
      </sumStat>
      <sumStat type="mean">
        1947.626
      </sumStat>
      <sumStat type="stdev">
        13847.898
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V297" name="B11_q7" files="F10" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="67" width="6" RecSegNo="1"/>
      <labl>
        Cost of raw materials &amp; services for construction &amp; repairs (in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much was paid by the household towards the cost of raw materials &amp; services?
        </qstnLit>
        <ivuInstr><![CDATA[This column is for recording expenditure on materials and services for construction, assemblage, repair and maintenance of all durable goods - first-hand as well as second-hand. 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. Here, expenditure incurred towards repair and maintenance of items purchased on second-hand will also be accounted.

Note: 1. 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.
        2.  If an article is repaired during the reference period by one of the sample household members then the repair charges will be imputed and recorded against appropriate item only if the household member is a professional for that repairing job.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="302255"/>
      </valrng>
      <sumStat type="vald">
        136745
      </sumStat>
      <sumStat type="invd">
        306097
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        302255
      </sumStat>
      <sumStat type="mean">
        727.95
      </sumStat>
      <sumStat type="stdev">
        3233.815
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V298" name="B11_q8" files="F10" dcml="0" intrvl="contin">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Second Hand Purchase - Number
      </labl>
      <qstn>
        <qstnLit>
          How many numbers of the item were second hand purchase?
        </qstnLit>
        <ivuInstr>
          The number of each item of second-hand durable goods purchased during the reference period will be recorded in this column. An imported item of durables, even if second-hand, will be treated as first-hand purchase and information will be recorded against the relevant columns.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="4"/>
      </valrng>
      <sumStat type="vald">
        419
      </sumStat>
      <sumStat type="invd">
        442423
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V299" name="B11_q9" files="F10" dcml="0" intrvl="contin">
      <location StartPos="69" EndPos="74" width="6" RecSegNo="1"/>
      <labl>
        Second Hand Purchase - Value in cash (in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much did the household spend in cash on the item of the second hand purchase?
        </qstnLit>
        <ivuInstr>
          Value of second-hand purchase during the reference period will be entered in this column.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="225000"/>
      </valrng>
      <sumStat type="vald">
        1379
      </sumStat>
      <sumStat type="invd">
        441463
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        225000
      </sumStat>
      <sumStat type="mean">
        6031.89
      </sumStat>
      <sumStat type="stdev">
        20705.918
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V300" name="B11_q10" files="F10" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="80" width="6" RecSegNo="1"/>
      <labl>
        Total expenditure (in Rs.)
      </labl>
      <qstn>
        <ivuInstr>
          It is the sum of value of first-hand purchase, cost of raw materials and services for construction and repair and value of the second-hand purchase. In other words, it means column (10) = column (6) + column (7) + column (9).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="754850"/>
      </valrng>
      <sumStat type="vald">
        211966
      </sumStat>
      <sumStat type="invd">
        230876
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        754850
      </sumStat>
      <sumStat type="mean">
        1436.063
      </sumStat>
      <sumStat type="stdev">
        10224.336
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V301" name="NSS" files="F10" intrvl="discrete">
      <location StartPos="81" EndPos="82" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V302" name="NSC" files="F10" intrvl="discrete">
      <location StartPos="83" EndPos="85" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V303" name="MLT" files="F10" dcml="2" intrvl="contin">
      <location StartPos="86" EndPos="94" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.51" max="703464.23"/>
      </valrng>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.51
      </sumStat>
      <sumStat type="max">
        703464.23
      </sumStat>
      <sumStat type="mean">
        8932.89
      </sumStat>
      <sumStat type="stdev">
        20373.695
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V305" name="WGT_SS" wgt="wgt" files="F10" dcml="2" intrvl="contin">
      <location StartPos="95" EndPos="101" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0051" max="7034.6423"/>
      </valrng>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0051
      </sumStat>
      <sumStat type="max">
        7034.642
      </sumStat>
      <sumStat type="mean">
        89.329
      </sumStat>
      <sumStat type="stdev">
        203.737
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V306" name="WGT_SS_Combined" wgt="wgt" files="F10" dcml="2" intrvl="contin">
      <location StartPos="102" EndPos="108" width="7" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.00255" max="3517.32115"/>
      </valrng>
      <sumStat type="vald">
        442842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.00255
      </sumStat>
      <sumStat type="max">
        3517.321
      </sumStat>
      <sumStat type="mean">
        44.765
      </sumStat>
      <sumStat type="stdev">
        101.882
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
