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  <docDscr>
    <citation>
      <titlStmt>
        <titl>NSSO_58_Schedule_1_Consumer Expenditure</titl>
        <IDNo>DDI-IND-MOSPI-NSSO-58Rnd-Sch1.0-2002</IDNo>
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  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>Household Consumer Expenditure, NSS 58th Round, Schedule 1, July 2002 - December 2002</titl>
        <subTitl>
          NSS 58th Round
        </subTitl>
        <IDNo>DDI-IND-MOSPI-NSSO-58Rnd-Sch1.0-2002</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 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 Statistics and Programme Implementation(MOSPI)" role="Tabulation and Dissemination">
          Computer Centre
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          Nesstar Publisher
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        <fundAg abbr="MOSPI">M/o Statistics &amp; Programme Implementation, GOI</fundAg>
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      <distStmt>
        <contact affiliation="M/O Statistics &amp; PI, G/O India " URI="http://mospi.gov.in/">ADG, SDRD , NSSO</contact>
        <contact affiliation="M/O Statistics &amp; PI, G/O India " URI="http://mospi.nic.in/Mospi_New/site/home.aspx">
          DDG, Computer Centre
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Socio-Economic/Monitoring Survey [hh/sems]
        </serName>
        <serInfo>
          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 field operations of the 58th NSS round commenced on 1st July 2002 and continued up to 31st December 2002. 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. To minimise recall errors, a very detailed item classification was, as usual, adopted to collect information. The field work for the survey was conducted, as usual, by the Field Operations Division of the Organisation. The collected data were processed by the Data Processing Division of NSSO and tabulated by the Computer Centre of Department of Statistics. The reports have been prepared by Survey Design &amp; Research Division (SDRD) of NSSO under the guidance of the Governing Council, NSSO.
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2012-05-27"></version>
      </verStmt>
    </citation>
    <stdyInfo>
      <abstract>The National Sample Survey Organisation (NSSO) has been carrying out All-India surveys on consumer expenditure. While some of these smaller-scale surveys are spread over a full year and others over six months only, the quinquennial (full-scale) surveys have all been of a full year's duration. Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure. To minimise recall errors, a very detailed item classification is adopted to collect information, including items of food, items of fuel, items of clothing, bedding and footwear, items of educational and medical expenses, items of durable goods and other items. The schedule has also collected some other household particulars including age, sex and educational level etc. of each household member. The schedule design for the survey is more or less similar to that adopted in the previous rounds.</abstract>
      <sumDscr>
        <collDate date="2002-07-01" event="start" cycle="Sub Round 1"/>
        <collDate date="2002-09-30" event="end" cycle="Sub Round 1"/>
        <collDate date="2002-10-01" event="start" cycle="Sub Round 2"/>
        <collDate date="2002-12-31" event="end" cycle="Sub Round 2"/>
        <nation abbr="IND">India</nation>
        <geogCover>The survey covered the whole of the Indian Union except 
(i) Leh and Kargil districts of Jammu &amp; Kashmir,
(ii) interior villages of Nagaland situated beyond five kilometres of the 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>
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      <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 is collected in the NSS Schedule 1.0 used for household consumer expenditure.  For this round, the schedule had the following blocks.

Blocks 1 and 2 - are similar to the ones used in usual NSS rounds. These are 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, primary source of energy used for cooking and lighting etc. have been recorded in this block.

Block-4: In this block detailed demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day etc. has been recorded. 
	
Block-5: In this block cash purchase and household consumption of food, pan, tobacco and intoxicants during the last 30 days have been recorded. 

Block-5.1: In this block cash purchase and household consumption of fuel and light during the last 30 days have been recorded. 

Block-6: Annual household consumption of clothing has been recorded in this block.

Block-7: Annual household consumption of footwear has been recorded in this block.

Block-8.1 : Annual household expenditure on education and medical (institutional) goods and services has been recorded here. 

Block-8.2 : Monthly household expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes has been recorded here. 

Block-9 : Annual household  expenditure for purchase and construction (including repairs) of durable goods for domestic use has been recorded here. 

Block-10 : Perception of households regarding sufficiency of food has been recorded here. 

Block-11 : Summary of household consumer expenditure has been recorded here.]]></notes>
      <subject>
        <keyword>Household Consumer Expenditure</keyword>
        <keyword>NSS 58th Round</keyword>
        <keyword>Schedule 1</keyword>
        <keyword>July 2002 - December 2002</keyword>
      </subject>
    </stdyInfo>
    <method>
      <dataColl>
        <sampProc>Outline of Sample Design: 
A stratified multi-stage design was adopted for the conduct of survey of NSS 58th round. The first-stage units were census villages (panchayat wards for Kerala) in the rural sector and the NSSO Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units were households in both the sectors.

Sampling Frame for First-Stage Units: 
For the rural sector, the list of Census 1991 villages (panchayat wards for Kerala) and Census 1981 villages for J &amp; K constituted the sampling frame.
For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks was considered as the sampling frame.

Stratification
Rural sector: 
Two special strata were formed as given below at the State/ UT level on the basis of Population Census 1991 viz.
Stratum 1: all FSUs with population between 0 to 50, and
Stratum 2: FSUs with population more than 15,000

Urban sector: 
In the urban sector, stratum was formed within each NSS region on the basis of size class of towns as per Census 1991 town population except the towns, which were 27 in number,with population more than one million.

Total sample size (FSUs): 
A total number of 8338 and 9076 first-stage units were selected for survey in the Central and State samples respectively.</sampProc>
        <collMode>Face-to-face [f2f]</collMode>
        <resInstru><![CDATA[The data for this survey is collected in the NSS Schedule 1.0 used for household consumer expenditure.  For this round, the schedule had the following blocks.

Blocks 1 and 2 - are similar to the ones used in usual NSS rounds. These are 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, primary source of energy used for cooking and lighting etc. have been recorded in this block.

Block-4: In this block detailed demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day etc. has been recorded. 
	
Block-5: In this block cash purchase and household consumption of food, pan, tobacco and intoxicants during the last 30 days have been recorded. 

Block-5.1: In this block cash purchase and household consumption of fuel and light during the last 30 days have been recorded. 

Block-6: Annual household consumption of clothing has been recorded in this block.

Block-7: Annual household consumption of footwear has been recorded in this block.

Block-8.1 : Annual household expenditure on education and medical (institutional) goods and services has been recorded here. 

Block-8.2 : Monthly household expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes has been recorded here. 

Block-9 : Annual household  expenditure for purchase and construction (including repairs) of durable goods for domestic use has been recorded here. 

Block-10 : Perception of households regarding sufficiency of food has been recorded here. 

Block-11 : Summary of household consumer expenditure has been recorded here.]]></resInstru>
        <sources/>
        <weight><![CDATA[Two different weights have been provided in each file in the data set. Details are as follows:-

1.  Weight   for each sub sample is stored in the variable name   : Wgt_SubSample
2. Combined subsample weight   is stored in the variable name : Wgt_Combined]]></weight>
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    </method>
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          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>
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        In this block detailed demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day etc. has been recorded.
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        In this block cash purchase and household consumption of fuel and light during the last 30 days have been recorded.
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        Annual household consumption of clothing has been recorded in this block.
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        Block 7_Annual household expenditure on footwear.NSDstat
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        Annual household consumption of footwear has been recorded in this block.
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        Annual household expenditure on education and medical (institutional) goods and services has been recorded here.
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        Monthly household expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes has been recorded here.
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      <labl>
        Geographical identifier
      </labl>
    </varGrp>
    <var ID="V61" 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">
        32669
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      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for uniquely 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="ID" files="F1" intrvl="discrete">
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      <labl>
        Round Schedule
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          Round Schedule
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      <txt>
        Sector : A word used for the rural-urban demarcation.
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        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
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        <catValu>
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        <labl>
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        <catStat type="freq">
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      <varFormat type="character" schema="other"/>
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    <var ID="V4" name="State_region" files="F1" intrvl="discrete">
      <location StartPos="17" EndPos="19" width="3" RecSegNo="1"/>
      <labl>
        State region
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      <sumStat type="invd">
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      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
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      <sumStat type="invd">
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      <catgry>
        <catValu>
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        </catValu>
        <labl>
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        </catStat>
      </catgry>
      <catgry>
        <catValu>
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        </labl>
        <catStat type="freq">
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        </catStat>
      </catgry>
      <catgry>
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        </catValu>
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        </labl>
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        </catStat>
      </catgry>
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        <catValu>
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        </labl>
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      </catgry>
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      </catgry>
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        <catValu>
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      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          1459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          3588
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          1784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          1172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          2608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          820
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          1028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhatisgarh
        </labl>
        <catStat type="freq">
          496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          1686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          1016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
        <catStat type="freq">
          2836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
        <catStat type="freq">
          2112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          1452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          1076
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamilnadu
        </labl>
        <catStat type="freq">
          2327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
        <catStat type="freq">
          208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Is.
        </labl>
        <catStat type="freq">
          139
        </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="V5" name="Stratum" files="F1" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <qstn>
        <qstnLit>
          Stratum number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </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.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V6" name="SubStratum" files="F1" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V7" name="District" files="F1" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V8" name="SubRound" files="F1" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of six months of this round  was divided  into  two sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these two sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          16321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          16348
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="Vill_Blk_Slno" files="F1" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V9" name="SubSample" files="F1" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </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">
          16366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          16303
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V11" name="SegmentNo" files="F1" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <qstn>
        <qstnLit>
          Segment number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V12" name="Stage2_Stratum" files="F1" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V13" name="Hhold_no" files="F1" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <qstn>
        <qstnLit>
          Sample Household Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V14" name="Survey_Code" files="F1" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <qstn>
        <qstnLit>
          Survey Code
        </qstnLit>
        <ivuInstr><![CDATA[Survey code  :  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 it is the originally selected sample household, and '2' if it  is the  substituted one.  If neither the originally  selected household  nor the substituted household could be surveyed  i.e., if  the  sample  household  was a casualty,  code  '3'  would  be recorded.   In such cases only blocks 0,1, 2, 13 and 14  will  be filled  up and on the top of the front page of the  schedule  the word 'CASUALTY' will be written and underlined.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Original household surveyed
        </labl>
        <catStat type="freq">
          31360
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Substitute household surveyed
        </labl>
        <catStat type="freq">
          1309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Casualty (nothing surveyed)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V15" name="Substn_Code" files="F1" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        Substitution Code
      </labl>
      <qstn>
        <qstnLit>
          Reason for substitution
        </qstnLit>
        <ivuInstr><![CDATA[Reason for substitution   :   For  the originally selected sample household which could not be surveyed, the reason  for its becoming a casualty will be recorded  against this item in terms of the specified codes.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        1309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Informant busy
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Members away from home
        </labl>
        <catStat type="freq">
          1055
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Informant non-cooperative
        </labl>
        <catStat type="freq">
          125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V16" name="NSS" files="F1" intrvl="discrete">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        Count of sub samples
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V17" name="NSC" files="F1" intrvl="discrete">
      <location StartPos="42" EndPos="44" width="3" RecSegNo="1"/>
      <labl>
        Count of samples combined
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V21" name="MPCE_CODE" files="F1" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        MPCE_CODE
      </labl>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

It is the usual practice, in NSS consumer expenditure reports, to present various estimates, including state and all-India level values of different socio-economic indicators, and distributions of households and all-India level values of different socio-economic indicators, and distributions of households and persons over different socio-economic categories or statuses, separately for a number of classes of the population formed on the basis of MPCE. For this NSS round, 12 MPCE classes were drawn up for each sector - rural and urban - as follows : 

RURAL 		URBAN
(Rs.) 		(Rs.)
1.        0 -  225 		    0 - 300
2.     225 - 255 		300 - 350
3.     255 - 300		350 - 425
4.     300 - 340		425 - 500
5.     340 - 380		500 - 575
6.     380 - 420		575 - 665
7.     420 - 470		665 - 775
8.     470 - 525 		775 - 915
9.     525 - 615 		915 - 1120
10.   615 - 775 	                1120 - 1500
11.   775 - 950 	                1500 - 1925
12.   950 & above 	                1925 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V18" name="MULT_SS" files="F1" dcml="0" intrvl="contin">
      <location StartPos="47" EndPos="54" width="8" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <qstn>
        <qstnLit>
          MULT_SS
        </qstnLit>
      </qstn>
      <valrng>
        <range min="250" max="59582359"/>
      </valrng>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        250
      </sumStat>
      <sumStat type="max">
        59582359
      </sumStat>
      <sumStat type="mean">
        1256962.89
      </sumStat>
      <sumStat type="stdev">
        1494347.629
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V314" name="B3_q1" files="F1" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="56" width="2" RecSegNo="1"/>
      <labl>
        Household Size
      </labl>
      <qstn>
        <qstnLit>
          How many members are there in the household?
        </qstnLit>
        <ivuInstr><![CDATA[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 stayaways and excluding temporary  visitors) will be recorded against this item.  This number will be same  as the last serial number recorded in column 1 of block 4.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Household : 

A group of persons normally living together and taking food from a common kitchen constitutes a household. The word "normally" means that temporary visitors are excluded but temporary stay-aways are included.Thus a son or daughter residing in a hostel for studies is excluded from the household of his/her parents, but a resident employee or resident domestic servant or paying guest (but not just a tenant in the house) is included in the employer/host's household. "Living together" is usually given more importance than "sharing food from a common kitchen" in drawing the boundaries of a household in case the two criteria are in conflict; however, in the special case of a person taking food with his family but sleeping elsewhere (say in a shop or a different house) due to space shortage, the household formed by such a  person's family members is taken to include the person also. Each inmate of a mess, hotel, boarding and lodging house, hostel, etc. is considered as a single-member household except that a family living in a hotel (say) is considered as one household only; the same applies to residential staff of such establishments.


Household size : 
The size of a household is the total number of persons in the household.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V20" name="B3_q17" files="F1" dcml="2" intrvl="contin">
      <location StartPos="57" EndPos="64" width="8" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <valrng>
        <range UNITS="REAL" min="13.14" max="36876.57"/>
      </valrng>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        13.14
      </sumStat>
      <sumStat type="max">
        36876.57
      </sumStat>
      <sumStat type="mean">
        923.533
      </sumStat>
      <sumStat type="stdev">
        877.206
      </sumStat>
      <txt><![CDATA[Household consumer expenditure : 
The expenditure incurred by a household on domestic consumption during the reference period is the household's consumer expenditure. The household consumer expenditure is the total of the monetary values of consumption of various groups of items namely (i) food, pan (betel leaves), tobacco, intoxicants and fuel & light, (ii) clothing and footwear and (iii) miscellaneous goods and services and durable articles.

Monthly per capita expenditure (MPCE) : 
For a household, this is household consumer expenditure over a period of 30 days divided by household size. A person's MPCE is understood as that of the household to which he/she belongs.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V22" name="CMPCE_CODE" files="F1" intrvl="discrete">
      <location StartPos="65" EndPos="66" width="2" RecSegNo="1"/>
      <labl>
        CMPCE_CODE
      </labl>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V23" name="B3_q4" files="F1" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        Household type
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The household  type  code based  on the means of livelihood of a household will be  decided on  the basis of the source 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 gainful  employment  will  be  considered;  but  the  incomes  of servants  and paying guests will not be taken into account.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        32641
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V58" name="HH_Type" files="F1" intrvl="discrete">
      <location StartPos="68" EndPos="69" width="2" RecSegNo="1"/>
      <labl>
        Sector wise household type
      </labl>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          invalid - rural
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          self-employed in non-agriculture - rural
        </labl>
        <catStat type="freq">
          2873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          agricultural labour - rural
        </labl>
        <catStat type="freq">
          4325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[other labour  - rural ]]></labl>
        <catStat type="freq">
          1817
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          self-employed in agriculture - rural
        </labl>
        <catStat type="freq">
          7119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Others - rural
        </labl>
        <catStat type="freq">
          2540
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          invalid - urban
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          self-employed - urban
        </labl>
        <catStat type="freq">
          5101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          regular wage/salary earning - urban
        </labl>
        <catStat type="freq">
          5905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          casual labour - urban
        </labl>
        <catStat type="freq">
          1435
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Others - urban
        </labl>
        <catStat type="freq">
          1526
        </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="V24" name="B3_q5" files="F1" intrvl="discrete">
      <location StartPos="70" EndPos="70" width="1" RecSegNo="1"/>
      <labl>
        Religion
      </labl>
      <qstn>
        <qstnLit>
          What is the religion of the members of the household?
        </qstnLit>
        <ivuInstr>
          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 household.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          25348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          4019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          345
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V25" name="B3_q6" files="F1" intrvl="discrete">
      <location StartPos="71" EndPos="71" 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 or other backward class will be indicated against this item in terms of the specified codes.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        32668
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          scheduled tribe
        </labl>
        <catStat type="freq">
          3661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          scheduled caste
        </labl>
        <catStat type="freq">
          5714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl><![CDATA[other  backward class]]></labl>
        <catStat type="freq">
          11156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          12137
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V315" name="B3_q7" files="F1" dcml="2" intrvl="contin">
      <location StartPos="72" EndPos="78" width="7" RecSegNo="1"/>
      <labl>
        Land possessed (0.00 hectares)
      </labl>
      <qstn>
        <qstnLit>
          How much land does the household own?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32494
      </sumStat>
      <sumStat type="invd">
        175
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        80.08
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V27" name="B3_q8" files="F1" intrvl="discrete">
      <location StartPos="79" EndPos="79" width="1" RecSegNo="1"/>
      <labl>
        Dwelling unit code
      </labl>
      <qstn>
        <qstnLit>
          What is the dwelling unit status of the household? Is it owned, hired or anything else?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32666
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Dwelling unit : 
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">
          26181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          hired
        </labl>
        <catStat type="freq">
          5183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          no dwelling unit
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          1299
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V28" name="B3_q9" files="F1" intrvl="discrete">
      <location StartPos="80" EndPos="80" width="1" RecSegNo="1"/>
      <labl>
        Type of dwelling code
      </labl>
      <qstn>
        <qstnLit>
          What is the type of dwelling unit? Is it an independent house or flat or anything else?
        </qstnLit>
        <ivuInstr><![CDATA[A  dwelling unit may be  in  a chawl  or  bustee, or an independent house or a flat.  Applicable code  for each type of dwelling will be entered against this item.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        32651
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Independent house
        </labl>
        <catStat type="freq">
          25555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Flat
        </labl>
        <catStat type="freq">
          3743
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          3353
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V29" name="B3_q10" files="F1" intrvl="discrete">
      <location StartPos="81" EndPos="81" width="1" RecSegNo="1"/>
      <labl>
        Type of structure
      </labl>
      <qstn>
        <qstnLit>
          What kind of structure the dwelling unit has? Is it katcha or semi-pucca or pucca?
        </qstnLit>
        <ivuInstr><![CDATA[The  structures  have  been classified  into three categories, namely, pucca, semi-pucca  and katcha on the basis of materials used for construction.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        32644
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          katcha
        </labl>
        <catStat type="freq">
          4692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          semi-pucca
        </labl>
        <catStat type="freq">
          7906
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          pucca
        </labl>
        <catStat type="freq">
          20046
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V30" name="B3_q11" files="F1" dcml="0" intrvl="contin">
      <location StartPos="82" EndPos="86" width="5" RecSegNo="1"/>
      <labl>
        Covered area (sq. feet)
      </labl>
      <qstn>
        <qstnLit>
          How much is the covered are of the dwelling unit?
        </qstnLit>
        <ivuInstr><![CDATA[This will  be  the sum  of  the  floor areas of all the  rooms,  kitchen  etc.,  and covered and/or uncovered verandah of the building.  The area will be recorded (to  nearest integer) in square feet.  The verandah will mean the space adjacent to rooms (both living and other)which is used as an access  to the rooms of the  dwelling unit. Verandah will not, however, cover a passage or a corridor used mainly as an access to the dwelling unit itself. A verandah covered on four   sides by walls with a roof above, is a covered verandah. But the verandah not surrounded by walls on four sides is an uncovered verandah, irrespective of whether there is a roof or not.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="17004"/>
      </valrng>
      <sumStat type="vald">
        32511
      </sumStat>
      <sumStat type="invd">
        158
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        17004
      </sumStat>
      <sumStat type="mean">
        446.067
      </sumStat>
      <sumStat type="stdev">
        447.565
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="B3_q12" files="F1" intrvl="discrete">
      <location StartPos="87" EndPos="88" width="2" 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[Items : primary source of energy used for  cooking and lighting : Against these two items, the code corresponding to the primary source of energy that is being used by the  household for  the  purpose of cooking and for lighting, will  have  to  be recorded.   If  more  than one type of energy  is  utilized,  the primary or principal one on the basis of its use will have to  be identified  and  the  corresponding code will  be  noted  in  the appropriate box.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        31836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl><![CDATA[  coke, coal]]></labl>
        <catStat type="freq">
          630
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[  firewood and chips]]></labl>
        <catStat type="freq">
          16998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[  LPG]]></labl>
        <catStat type="freq">
          9462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[  gobar gas]]></labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[  dung cake]]></labl>
        <catStat type="freq">
          1846
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[  charcoal]]></labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[  kerosene]]></labl>
        <catStat type="freq">
          2147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[  electricity]]></labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[  others]]></labl>
        <catStat type="freq">
          617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[  no cooking arrangement]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V32" name="B3_q13" files="F1" intrvl="discrete">
      <location StartPos="89" EndPos="89" 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[Items : primary source of energy used for  cooking and lighting : Against these two items, the code corresponding to the primary source of energy that is being used by the  household for  the  purpose of cooking and for lighting, will  have  to  be recorded.   If  more  than one type of energy  is  utilized,  the primary or principal one on the basis of its use will have to  be identified  and  the  corresponding code will  be  noted  in  the appropriate box.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        32635
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          kerosene
        </labl>
        <catStat type="freq">
          9557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          other oil
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          gas
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          candle
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          electricity
        </labl>
        <catStat type="freq">
          22856
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          no lighting arrangement
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V33" name="B3_q14" files="F1" intrvl="discrete">
      <location StartPos="90" EndPos="90" width="1" RecSegNo="1"/>
      <labl>
        Whether Meals outside?
      </labl>
      <qstn>
        <qstnLit>
          Do the members of the household take meals outside?
        </qstnLit>
        <ivuInstr><![CDATA[If any member  of  the household has taken meals from outside, with or without  payment, during last 30 days preceding the date of enquiry, code 1 will be recorded  against  this item, otherwise code 2 will  be  entered.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          11620
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          21049
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V34" name="B3_q15" files="F1" intrvl="discrete">
      <location StartPos="91" EndPos="91" width="1" RecSegNo="1"/>
      <labl>
        Whether Ceremony?
      </labl>
      <qstn>
        <qstnLit>
          Does the household perform any ceremony?
        </qstnLit>
        <ivuInstr><![CDATA[Ceremonies are performed to  solemnize  some  events of life, e.g.  birth,  marriage  etc.  Members  of a household may have to perform some religious  rites consequent   upon   the   death  of  a   person.    For   various religions, faiths,  there  are  some  days in  a  year  which  are observed with ceremonial performances like offering puja, prayer, ritual  performances  etc.   Some  of  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  some  amount of money for entertaining guests  with  meals which  are  considered  as an essential part  of  the  ceremonies performed  by  them.   Code 1 will be entered in  the  box  space provided  against  this item if at least one  ceremony  had  been performed by the household during the last 30 days preceding  the date  of enquiry, and code 2 will be entered if no such  ceremony was performed by the household.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        32667
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          32100
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V35" name="B3_q16" files="F1" intrvl="discrete">
      <location StartPos="92" EndPos="92" width="1" RecSegNo="1"/>
      <labl>
        Whether Ration?
      </labl>
      <qstn>
        <qstnLit>
          Does the household purchase things from ration shop?
        </qstnLit>
        <ivuInstr><![CDATA[Item : did the household  purchase  any  cereal  from ration/fair price shop during last 30 days ? : The answer against 
this  question will be recorded in codes.  The codes  are  yes-1, no-2.  Purchase of food grains by workers from shops run by  their employer at concessional or subsidised rates (this is  prevalent, for  example,  in  tea garden areas) will come under the coverage of this item. If any such purchase has been made, code 1 will be recorded.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        1437
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          1075
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V36" name="B10_q1" files="F1" intrvl="discrete">
      <location StartPos="93" EndPos="93" width="1" RecSegNo="1"/>
      <labl>
        Whether Enough food?
      </labl>
      <qstn>
        <qstnLit>
          Do all members get two square meals?
        </qstnLit>
        <ivuInstr><![CDATA[The expression 'getting two square meals a day', as is used in common parlance, conveys that the concerned person get, by and large, enough food to eat.  While putting this question to the informant, it is thus presumed that the informant has a clear understanding about the meaning of it.  There are equivalent phrases conveying the same meaning in regional languages.  It is, therefore, important to put the proper question in the local language and record the answer given by the informant in terms of prescribed code numbers.

Care should however be taken to see that the informant is not offended with this question.  Neither this question should be asked to those whose reported consumption would obviously indicate that they get enough to eat.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        32608
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes - through out the year
        </labl>
        <catStat type="freq">
          32224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes -some months of the year
        </labl>
        <catStat type="freq">
          250
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          134
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V37" name="B10_q2_1" files="F1" intrvl="discrete">
      <location StartPos="94" EndPos="95" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          Which month or months the household did not enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        12
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V38" name="B10_q2_2" files="F1" intrvl="discrete">
      <location StartPos="96" EndPos="97" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          Which month or months the household did not enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        10
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V39" name="B10_q2_3" files="F1" intrvl="discrete">
      <location StartPos="98" EndPos="99" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          Which month or months the household did not enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        17
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V40" name="B10_q2_4" files="F1" intrvl="discrete">
      <location StartPos="100" EndPos="101" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          Which month or months the household did not enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        27
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V41" name="B10_q2_5" files="F1" intrvl="discrete">
      <location StartPos="102" EndPos="103" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          Which month or months the household did not enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        66
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V42" name="B10_q2_6" files="F1" intrvl="discrete">
      <location StartPos="104" EndPos="105" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          Which month or months the household did not enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        110
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V43" name="B10_q2_7" files="F1" intrvl="discrete">
      <location StartPos="106" EndPos="107" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          Which month or months the household did not enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        138
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V44" name="B10_q2_8" files="F1" intrvl="discrete">
      <location StartPos="108" EndPos="109" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          Which month or months the household did not enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V45" name="B10_q2_9" files="F1" intrvl="discrete">
      <location StartPos="110" EndPos="111" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          Which month or months the household did not enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        76
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V46" name="B10_q2_10" files="F1" intrvl="discrete">
      <location StartPos="112" EndPos="113" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          Which month or months the household did not enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        52
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V47" name="B10_q2_11" files="F1" intrvl="discrete">
      <location StartPos="114" EndPos="115" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          Which month or months the household did not enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        27
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V48" name="B10_q2_12" files="F1" intrvl="discrete">
      <location StartPos="116" EndPos="117" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          Which month or months the household did not enough food?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        12
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V49" name="TotalNoMonthsNotEnoughFood" files="F1" dcml="0" intrvl="contin">
      <location StartPos="118" EndPos="119" width="2" RecSegNo="1"/>
      <labl>
        Total number of months when not enough food
      </labl>
      <valrng>
        <range min="0" max="11"/>
      </valrng>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V50" name="B10_q3" files="F1" intrvl="discrete">
      <location StartPos="120" EndPos="120" width="1" RecSegNo="1"/>
      <labl>
        Whether Question (Whether Enough food) actually asked?
      </labl>
      <qstn>
        <qstnLit>
          Whether Question (Whether Enough food) actually asked?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32547
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          14149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          18398
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V51" name="TimeToCanvass" files="F1" intrvl="discrete">
      <location StartPos="121" EndPos="123" width="3" RecSegNo="1"/>
      <labl>
        Time to canvass (mins.)
      </labl>
      <qstn>
        <qstnLit>
          Time to canvass (mins.)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32621
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V52" name="StateGroupCode" files="F1" intrvl="discrete">
      <location StartPos="124" EndPos="125" width="2" RecSegNo="1"/>
      <labl>
        STATE GROUP CODE
      </labl>
      <qstn>
        <qstnLit>
          STATE GROUP CODE
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V53" name="RevisedStatusCode" files="F1" intrvl="discrete">
      <location StartPos="126" EndPos="127" width="2" RecSegNo="1"/>
      <labl>
        REVISED STATUS CODE (US+PS)
      </labl>
      <qstn>
        <qstnLit>
          REVISED STATUS CODE (US+PS)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V54" name="RevisedNICCode" files="F1" intrvl="discrete">
      <location StartPos="128" EndPos="129" width="2" RecSegNo="1"/>
      <labl>
        REVISED NIC CODE
      </labl>
      <qstn>
        <qstnLit>
          REVISED NIC CODE
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        28210
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V55" name="WorkerCD" files="F1" intrvl="discrete">
      <location StartPos="130" EndPos="130" width="1" RecSegNo="1"/>
      <labl>
        WORKER_CD
      </labl>
      <qstn>
        <qstnLit>
          WORKER_CD
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V56" name="LOT" files="F1" intrvl="discrete">
      <location StartPos="131" EndPos="133" width="3" RecSegNo="1"/>
      <labl>
        LOT
      </labl>
      <qstn>
        <qstnLit>
          LOT
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V59" name="Wgt_SubSample" wgt="wgt" files="F1" dcml="2" intrvl="contin">
      <location StartPos="134" EndPos="142" width="9" RecSegNo="1"/>
      <labl>
        Sub Sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="2.5" max="595823.59"/>
      </valrng>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2.5
      </sumStat>
      <sumStat type="max">
        595823.59
      </sumStat>
      <sumStat type="mean">
        12569.629
      </sumStat>
      <sumStat type="stdev">
        14943.476
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MULT_SS/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V60" name="Wgt_Combined" wgt="wgt" files="F1" dcml="2" intrvl="contin">
      <location StartPos="143" EndPos="151" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.25" max="297911.795"/>
      </valrng>
      <sumStat type="vald">
        32669
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.25
      </sumStat>
      <sumStat type="max">
        297911.795
      </sumStat>
      <sumStat type="mean">
        6322.557
      </sumStat>
      <sumStat type="stdev">
        7980.297
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MULT_SS/100, if NSS=NSC,

and

Wgt_Combined = MULT_SS/200, if NSC>NSS]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V111" name="Person_key" files="F2" intrvl="discrete">
      <location StartPos="1" EndPos="12" width="12" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a member in a household
      </labl>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for uniquely identifying a member in a household by combining HHID and serial no. of members.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V110" name="HHID" files="F2" intrvl="discrete">
      <location StartPos="13" EndPos="21" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        154198
      </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="V62" name="ID" files="F2" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <qstn>
        <qstnLit>
          ID
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V63" name="RoundSchedule" files="F2" intrvl="discrete">
      <location StartPos="24" EndPos="27" width="4" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round Schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          5810
        </catValu>
        <catStat type="freq">
          154198
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V64" name="Sector" files="F2" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </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">
          94920
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          59278
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V65" name="State_region" files="F2" intrvl="discrete">
      <location StartPos="29" EndPos="31" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <qstn>
        <qstnLit>
          State region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </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="V107" name="State" files="F2" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          3630
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          2092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          3850
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          1495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          2878
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          7527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          19366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          9822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          3192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          2169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          5857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          11665
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          4151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          4615
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhatisgarh
        </labl>
        <catStat type="freq">
          2525
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          8886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          4728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
        <catStat type="freq">
          12782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
        <catStat type="freq">
          8507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          6483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4738
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamilnadu
        </labl>
        <catStat type="freq">
          8650
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
        <catStat type="freq">
          889
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Is.
        </labl>
        <catStat type="freq">
          620
        </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="V66" name="Stratum" files="F2" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <qstn>
        <qstnLit>
          Stratum number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </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.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V67" name="SubStratum" files="F2" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V68" name="District" files="F2" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V69" name="SubRound" files="F2" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of six months of this round  was divided  into  two sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these two sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          76759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          77439
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V70" name="SubSample" files="F2" intrvl="discrete">
      <location StartPos="40" EndPos="40" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </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">
          77302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          76896
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V71" name="Vill_Blk_Slno" files="F2" intrvl="discrete">
      <location StartPos="41" EndPos="45" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V72" name="SegmentNo" files="F2" intrvl="discrete">
      <location StartPos="46" EndPos="46" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <qstn>
        <qstnLit>
          Segment number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V73" name="Stage2_Stratum" files="F2" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V74" name="Hhold_no" files="F2" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <qstn>
        <qstnLit>
          Sample Household Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V77" name="NSS" files="F2" intrvl="discrete">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        Count of sub samples
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V78" name="NSC" files="F2" intrvl="discrete">
      <location StartPos="52" EndPos="54" width="3" RecSegNo="1"/>
      <labl>
        Count of samples combined
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V79" name="MULT_SS" files="F2" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="62" width="8" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <qstn>
        <qstnLit>
          MULT_SS
        </qstnLit>
      </qstn>
      <valrng>
        <range min="250" max="59582359"/>
      </valrng>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        250
      </sumStat>
      <sumStat type="max">
        59582359
      </sumStat>
      <sumStat type="mean">
        1280996.594
      </sumStat>
      <sumStat type="stdev">
        1469420.895
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V80" name="B3_q17" files="F2" dcml="2" intrvl="contin">
      <location StartPos="63" EndPos="70" width="8" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <valrng>
        <range UNITS="REAL" min="13.14" max="36876.57"/>
      </valrng>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        13.14
      </sumStat>
      <sumStat type="max">
        36876.57
      </sumStat>
      <sumStat type="mean">
        784.074
      </sumStat>
      <sumStat type="stdev">
        709.508
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V81" name="MPCE_CODE" files="F2" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        MPCE_CODE
      </labl>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

It is the usual practice, in NSS consumer expenditure reports, to present various estimates, including state and all-India level values of different socio-economic indicators, and distributions of households and all-India level values of different socio-economic indicators, and distributions of households and persons over different socio-economic categories or statuses, separately for a number of classes of the population formed on the basis of MPCE. For this NSS round, 12 MPCE classes were drawn up for each sector - rural and urban - as follows : 

RURAL 		URBAN
(Rs.) 		(Rs.)
1.        0 -  225 		    0 - 300
2.     225 - 255 		300 - 350
3.     255 - 300		350 - 425
4.     300 - 340		425 - 500
5.     340 - 380		500 - 575
6.     380 - 420		575 - 665
7.     420 - 470		665 - 775
8.     470 - 525 		775 - 915
9.     525 - 615 		915 - 1120
10.   615 - 775 	                1120 - 1500
11.   775 - 950 	                1500 - 1925
12.   950 & above 	                1925 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V82" name="CMPCE_CODE" files="F2" intrvl="discrete">
      <location StartPos="73" EndPos="74" width="2" RecSegNo="1"/>
      <labl>
        CMPCE_CODE
      </labl>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V83" name="B4_q1" files="F2" intrvl="discrete">
      <location StartPos="75" EndPos="77" width="3" RecSegNo="1"/>
      <labl>
        Serial No. of members
      </labl>
      <qstn>
        <qstnLit>
          Serial No. of members
        </qstnLit>
        <ivuInstr><![CDATA[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  children, second son,  second  son's  wife  and children  & so on.  After the sons are enumerated, the  daughters will be listed followed by other relations, dependants, servants, etc.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V84" name="B4_q3" files="F2" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        Relation to Head Code
      </labl>
      <qstn>
        <qstnLit>
          What is the relationship of the members of the household with the head of the household?
        </qstnLit>
        <ivuInstr><![CDATA[The family relationship  of each member of the household with the head of the household  (for the  head,  the  relationship is 'self') expressed  in  terms  of specified codes will be recorded in this column.  The codes to be used are :

        description                      		      code

self ................................................    1
spouse of head ......................................    2
married child .......................................    3
spouse of married child .............................    4
unmarried child .....................................    5
grandchild ..........................................    6
father/mother/father-in-law/mother-in-law ...........    7
brother/sister/brother-in-law/sister-in-law/other        
relatives.............................................   8
servant/employee/other non-relatives ................    9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        154190
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
        <catStat type="freq">
          32669
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse of head
        </labl>
        <catStat type="freq">
          25923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married child
        </labl>
        <catStat type="freq">
          7240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Spouse of married child
        </labl>
        <catStat type="freq">
          6884
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unmarried child
        </labl>
        <catStat type="freq">
          59129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchild
        </labl>
        <catStat type="freq">
          11628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Father/mother/father-in-law/mother-in-law
        </labl>
        <catStat type="freq">
          4172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Brother/sister/brother-in-law/sister-in-law/other relations
        </labl>
        <catStat type="freq">
          6115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Servant/employee/or non-relatives
        </labl>
        <catStat type="freq">
          430
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V85" name="B4_q4" files="F2" intrvl="discrete">
      <location StartPos="79" EndPos="79" width="1" RecSegNo="1"/>
      <labl>
        Sex Code
      </labl>
      <qstn>
        <qstnLit>
          Sex of the member of the household
        </qstnLit>
        <ivuInstr><![CDATA[For each and  every  member  of  the household,  sex in terms of the code (male-1, female-2)  will  be recorded in this column.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          79626
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          74572
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V86" name="B4_q5" files="F2" dcml="0" intrvl="contin">
      <location StartPos="80" EndPos="81" width="2" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          Age of the member of the household
        </qstnLit>
        <ivuInstr><![CDATA[The age in completed years of  all  the members  listed will be ascertained and recorded in  column  (5).  For  babies below one year of age at the time of  listing,  enter '0' in column "Age".]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        26.709
      </sumStat>
      <sumStat type="stdev">
        18.969
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V87" name="B4_q6" files="F2" intrvl="discrete">
      <location StartPos="82" EndPos="82" width="1" RecSegNo="1"/>
      <labl>
        Marital Status Code
      </labl>
      <qstn>
        <qstnLit>
          Marital status of the member of the household
        </qstnLit>
        <ivuInstr><![CDATA[The marital status  of  each member  will be recorded in terms of the specified code  in  this column. The codes are :
                     description                       code
                 never married .....................  1
                 currently married .................  2
                 widowed............................  3
                 divorced/separated ................  4]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        154151
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          76387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Currently married
        </labl>
        <catStat type="freq">
          69672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          7405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/separated
        </labl>
        <catStat type="freq">
          687
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V88" name="B4_q7" files="F2" intrvl="discrete">
      <location StartPos="83" EndPos="84" width="2" RecSegNo="1"/>
      <labl>
        General Education Code
      </labl>
      <qstn>
        <qstnLit>
          Education level of the member of the household
        </qstnLit>
        <ivuInstr><![CDATA[For  the purpose of  making  entries  in  this column, only the course successfully  completed   will be considered.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        154087
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Not literate
        </labl>
        <catStat type="freq">
          56074
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Literate without formal schooling
        </labl>
        <catStat type="freq">
          2155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Literate but below primary
        </labl>
        <catStat type="freq">
          22288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          22530
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Middle
        </labl>
        <catStat type="freq">
          21583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          12693
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Higher secondary
        </labl>
        <catStat type="freq">
          7182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Diploma/certificate course
        </labl>
        <catStat type="freq">
          1099
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Graduate
        </labl>
        <catStat type="freq">
          6470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Post-graduate and above
        </labl>
        <catStat type="freq">
          2013
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V89" name="B4_q8" files="F2" intrvl="discrete">
      <location StartPos="85" EndPos="86" width="2" RecSegNo="1"/>
      <labl>
        Usual Activity. Principal Status
      </labl>
      <qstn>
        <qstnLit>
          Which industry has the member of the household usually worked in during the last one year?
        </qstnLit>
        <ivuInstr><![CDATA[In the first instance the broad principal  usual activity  of the person will be identified based on  the  various activities  pursued by the person during the reference period  of last  365  days adopting a relatively long time (or  major  time) criterion,  not necessarily for a continuous period.   The  broad principal  usual  activity  status  will  be  one  of  the  three categories viz. 'employed' (working), 'unemployed' (available for work) or 'not in labour force' (neither willing nor available for work).  It is to be noted that in deciding this, only the  normal working  hours available for pursuing various activities need  be considered,  and not the 24 hours of a day.  The broad  principal usual  activity  status will be obtained on the basis of  a  two- stage  dichotomous  classification depending on  the  major  time spent.   Persons  will  be classified in  the  first  stage  into 
(i)those  who  are  engaged  in  any  economic  activity   (i.e., employed)  and/or  available  for  any  economic  activity  (i.e. 
unemployed) and
(ii) who are not engaged and not available for any economic  activity i.e. the persons will be first  classified  as those  in  the  labour force and those not in  the  labour  force depending  on  in which of these two statuses  the  person  spent major part of the year.  

In the second stage, those who are found in  the  labour  force will be further  classified  into  working (i.e.,  engaged  in economic activity or  employed)  and  seeking and/or  available for work (i.e., unemployed) based on the  major time  spent.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The  usual activity status relates to the activity status of a person during the  reference period of 365 days preceding the date  of  survey.  The  activity  status on which a person spent  relatively  longer time  (major  time criterion) during the 365 days  preceding  the date of survey is considered the principal usual activity  status of  the person.]]></txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an own account worker    ]]></labl>
        <catStat type="freq">
          18590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an employer    ]]></labl>
        <catStat type="freq">
          622
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as  ‘helper’                                      ]]></labl>
        <catStat type="freq">
          10392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[worked as regular salaried/wage employee     ]]></labl>
        <catStat type="freq">
          11502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl><![CDATA[worked as casual wage labour in public works                                                            ]]></labl>
        <catStat type="freq">
          180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl><![CDATA[casual wage labour in other types of works                                                                ]]></labl>
        <catStat type="freq">
          13995
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          seeking work and available for work
        </labl>
        <catStat type="freq">
          1682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl><![CDATA[attended educational institution                                                                                  ]]></labl>
        <catStat type="freq">
          38515
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl><![CDATA[attended domestic duties only                                                                                    ]]></labl>
        <catStat type="freq">
          23576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl><![CDATA[attended domestic duties and was also engaged in free collection of goods, tailoring, weaving, etc. for household use    ]]></labl>
        <catStat type="freq">
          8684
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl><![CDATA[recipients of rent, pension, remittance, etc.                                    ]]></labl>
        <catStat type="freq">
          1876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl><![CDATA[not able to work due to disability                                                                        ]]></labl>
        <catStat type="freq">
          999
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl><![CDATA[beggars, prostitutes, etc.                                                                                        ]]></labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl><![CDATA[others                                                                                                                    ]]></labl>
        <catStat type="freq">
          8431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          not properly reported
        </labl>
        <catStat type="freq">
          15085
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V90" name="B4_q9" files="F2" intrvl="discrete">
      <location StartPos="87" EndPos="88" width="2" RecSegNo="1"/>
      <labl>
        Usual Activity. Principal NIC code
      </labl>
      <qstn>
        <qstnLit>
          Which industry has the member of the household worked in during the last one year?
        </qstnLit>
        <ivuInstr><![CDATA[For the persons  categorised 'working'   (i.e.,   those   with  status   codes   11-51),   the corresponding 'industry section' will be recorded in terms of the specified codes.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        55281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          26681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing
        </labl>
        <catStat type="freq">
          313
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas; service activities incidental to oil and gas extraction, excluding surveying
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          373
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          1100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness and footwear
        </labl>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials
        </labl>
        <catStat type="freq">
          528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reporoduction of recorded media
        </labl>
        <catStat type="freq">
          159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined poetroleum products and nuclear fuel
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery and equipment
        </labl>
        <catStat type="freq">
          360
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment and apparatus
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, watches and clocks
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipmenmt
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          3084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicles and motorcycles
        </labl>
        <catStat type="freq">
          783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repair of personal and household goods
        </labl>
        <catStat type="freq">
          5450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          904
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          2058
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of travel agencies
        </labl>
        <catStat type="freq">
          113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension funding
        </labl>
        <catStat type="freq">
          381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social security
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of personal and household goods
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defence; compulsory social security
        </labl>
        <catStat type="freq">
          2607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          2058
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activities
        </labl>
        <catStat type="freq">
          83
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          1427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organisations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V91" name="B4_q10" files="F2" intrvl="discrete">
      <location StartPos="89" EndPos="90" width="2" RecSegNo="1"/>
      <labl>
        Usual Activity. Subsidiary Status
      </labl>
      <qstn>
        <qstnLit>
          Which industry has the member of the household worked in subsidiary capacity during the last one year?
        </qstnLit>
        <ivuInstr><![CDATA[For each person listed in this block, it has to be ascertained whether he or she worked in a subsidiary capacity  during the 365 days preceding the date of survey or not; in other words, whether he or she had a subsidiary economic  usual status.  This has to be ascertained for  all  the three  broad  categories  of  persons  initially  classified   as  'employed',   unemployed'  and  'not  in  labour   force'. To illustrate,  a  person categorised as working  and  assigned  the principal  usual  activity  status 'self-employed'  may  also  be engaged  for a relatively shorter time during the year as  casual wage  labour.   In  such a case, he will be  considered  to  have worked  also  in a subsidiary capacity(i.e.,having  a  subsidiary economic  status which is different from the  principal  status).  On  the other hand, a person may be self-employed in trade for  a 
relatively  longer  period  and simultaneously  also  engaged  in agricultural  production for a relatively minor time.  In such  a 
case, the principal usual activity status will be  'self-employed in  trade'  and  subsidiary economic  status,  'self-employed  in 
agriculture'.  Similarly, persons categorised as 'unemployed'  or 'not  in labour force' on the basis of 'relatively  longer  time' 
criterion   might  have  pursued  some  economic   activity   for relatively shorter time during the year.  In all the above cases, they  will  be  treated to have  had  subsidiary  economic  usual status.   It may be noted that engagement in work  in  subsidiary capacity may arise out of two situations :
         (i)   a  person may be engaged for  a  relatively  longer period during the 365 days in one economic  activity/non-economic activity and for a relatively shorter period in another  economic activity; 
       (ii)   a person may be pursuing one economic activity/non- economic  activity  almost throughout the year in  the  principal status and also simultaneously pursuing another economic activity for relatively shorter time in a subsidiary capacity.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        12742
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an own account worker    ]]></labl>
        <catStat type="freq">
          4450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an employer    ]]></labl>
        <catStat type="freq">
          157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as  ‘helper’                                      ]]></labl>
        <catStat type="freq">
          4892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[worked as regular salaried/wage employee     ]]></labl>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl><![CDATA[worked as casual wage labour in public works                                                            ]]></labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl><![CDATA[casual wage labour in other types of works                                                                ]]></labl>
        <catStat type="freq">
          3079
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V92" name="B4_q11" files="F2" intrvl="discrete">
      <location StartPos="91" EndPos="92" width="2" RecSegNo="1"/>
      <labl>
        Usual Activity. Subsidiary NIC code
      </labl>
      <qstn>
        <qstnLit>
          Which industry has the member of the household worked in subsidiary capacity during the last one year?
        </qstnLit>
        <ivuInstr><![CDATA[For all persons engaged in any 'work' in subsidiary capacity, the status codes of the economic activities pursued by them in  their subsidiary  capacity  will  be  recorded  and   the corresponding  'industry  section'  codes  will  be  recorded  in next column.  In the situation where a person has been found to have pursued more than one economic activity during the last 365  days in  his  or her subsidiary capacity, the activity on  which  more time  has been spent would be considered for recording  entry  in this  column.  Columns are to be filled in  for  each and  every  member of the household irrespective of  whether  the person's principal status is economic activity or not.  For those reporting no subsidiary economic activity, 'X' may be recorded in both the columns.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        12742
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          10210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas; service activities incidental to oil and gas extraction, excluding surveying
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness and footwear
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reporoduction of recorded media
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined poetroleum products and nuclear fuel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery and equipment
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment and apparatus
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, watches and clocks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipmenmt
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicles and motorcycles
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repair of personal and household goods
        </labl>
        <catStat type="freq">
          510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of travel agencies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension funding
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social security
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of personal and household goods
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defence; compulsory social security
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activities
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organisations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V93" name="B4_q12" files="F2" intrvl="discrete">
      <location StartPos="93" EndPos="94" width="2" RecSegNo="1"/>
      <labl>
        Weekly Activity. Status
      </labl>
      <qstn>
        <qstnLit>
          Which industry has the member of the household worked in during the last 7 days?
        </qstnLit>
        <ivuInstr><![CDATA[The  current weekly  activity status of a person will be the  activity  status obtaining  for a person during a reference period of  seven  days preceding the date of survey.  Irrespective of the usual activity pursued  by  a person, his/her current weekly  activity  will  be determined strictly on the basis of the activities pursued by the person  during the reference period of seven days  preceding  the date of  survey   adopting  the priority  criterion.  Even  for self-employed persons, one need not prejudge and take for granted that  the current activity situation for them will  be  identical with  the usual activity situation.  A careful probe on the  part of  the investigator regarding the various activities pursued  by the person during the seven days preceding the date of survey is, therefore,  necessary  for ascertaining  his/her  current  weekly activity  status.   In  defining the 'activity  status',  it  has already  been mentioned that the activities are  grouped  broadly into three categories, namely :

        (i)  working,
        (ii)  not working but seeking and/or available for work, and
       (iii)  neither working nor available for work.

According  to  the priority criterion, the status of  '  working' gets  priority  over the status 'not working but  seeking  and/or 
available  for work' which in turn gets priority over the  status of  'neither working nor available for work'.  In  the  category, 
'not  working but seeking and/or available for work', the  status 'seeking'  gets  priority  over the status of  'not  seeking  but 
available  for work'.  A person would be considered 'working  (or employed)'  if  he/she while pursuing any economic  activity  had worked  for  at  least one hour on any one day  during  the  week preceding  the  date  of survey. A  person  would  be  considered 'seeking and/or available for work (or unemployed)' if during the reference week no 'work' was done by the person but he or she had made  efforts to get work or had been available for  work  during the  reference  week  though not actively seeking  work,  in  the belief  that  no work was available.  A person  who  had  neither worked  nor  was  available for work will  be  considered  to  be engaged in non-economic activities (or not in labour force).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) ]]></labl>
        <catStat type="freq">
          18755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an employer    ]]></labl>
        <catStat type="freq">
          598
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as  ‘helper’                                      ]]></labl>
        <catStat type="freq">
          10762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[worked as regular salaried/wage employee     ]]></labl>
        <catStat type="freq">
          11392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl><![CDATA[worked as casual wage labour in public works                                                            ]]></labl>
        <catStat type="freq">
          185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl><![CDATA[casual wage labour in other types of works                                                                ]]></labl>
        <catStat type="freq">
          13200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl><![CDATA[did not work due to sickness though there was work in household enterprise   ]]></labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl><![CDATA[did not work due to other reasons though there was work in household enterprise   ]]></labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl><![CDATA[did not work due to sickness but had regular salaried/wage employment    ]]></labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl><![CDATA[did not work due to other reasons but had regular salaried/wage employment    ]]></labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl><![CDATA[sought work    ]]></labl>
        <catStat type="freq">
          1924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl><![CDATA[did not seek but was available for work    ]]></labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl><![CDATA[attended educational institution                                                                                  ]]></labl>
        <catStat type="freq">
          38112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl><![CDATA[attended domestic duties only                                                                                    ]]></labl>
        <catStat type="freq">
          23688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl><![CDATA[attended domestic duties and was also engaged in free collection of goods, tailoring, weaving, etc. for household use    ]]></labl>
        <catStat type="freq">
          8231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl><![CDATA[recipients of rent, pension, remittance, etc.                                    ]]></labl>
        <catStat type="freq">
          1837
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl><![CDATA[not able to work due to disability                                                                        ]]></labl>
        <catStat type="freq">
          1015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl><![CDATA[beggars, prostitutes, etc.                                                                                        ]]></labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl><![CDATA[others                                                                                                                    ]]></labl>
        <catStat type="freq">
          9094
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl><![CDATA[did not work due to sickness (for casual workers only)                                       ]]></labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          not properly reported
        </labl>
        <catStat type="freq">
          15085
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V94" name="B4_q13" files="F2" intrvl="discrete">
      <location StartPos="95" EndPos="96" width="2" RecSegNo="1"/>
      <labl>
        Weekly Activity NIC code
      </labl>
      <qstn>
        <qstnLit>
          Which industry has the member of the household worked in during the last 7 days?
        </qstnLit>
        <ivuInstr><![CDATA[For   persons categorised  as 'working'  the  industry section code  corresponding  to  the activity status will be entered in this column.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        55016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          26535
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing
        </labl>
        <catStat type="freq">
          306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas; service activities incidental to oil and gas extraction, excluding surveying
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          1118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness and footwear
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials
        </labl>
        <catStat type="freq">
          519
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reporoduction of recorded media
        </labl>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined poetroleum products and nuclear fuel
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          426
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery and equipment
        </labl>
        <catStat type="freq">
          352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment and apparatus
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, watches and clocks
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipmenmt
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          506
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          2997
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicles and motorcycles
        </labl>
        <catStat type="freq">
          784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repair of personal and household goods
        </labl>
        <catStat type="freq">
          5498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          2035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of travel agencies
        </labl>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension funding
        </labl>
        <catStat type="freq">
          383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social security
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of personal and household goods
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defence; compulsory social security
        </labl>
        <catStat type="freq">
          2570
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          2056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activities
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          1419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organisations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V95" name="B4_q14" files="F2" dcml="0" intrvl="contin">
      <location StartPos="97" EndPos="98" width="2" RecSegNo="1"/>
      <labl>
        Days Stayed away
      </labl>
      <qstn>
        <preQTxt>
          Has any member stayed away from home during the last 30 days?
        </preQTxt>
        <qstnLit>
          How many days has the member stayed away from home during the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[The number of days for  which  the  member 'stayed  away from  home ' during the 30 days preceding the  date of  enquiry should be recorded here. A  continuous  absence  from home for 24 hours will be 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.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="30"/>
      </valrng>
      <sumStat type="vald">
        33950
      </sumStat>
      <sumStat type="invd">
        120248
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        2.103
      </sumStat>
      <sumStat type="stdev">
        5.336
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V96" name="B4_q15" files="F2" dcml="0" intrvl="contin">
      <location StartPos="99" EndPos="99" width="1" RecSegNo="1"/>
      <labl>
        No. of Meals per day
      </labl>
      <qstn>
        <qstnLit>
          How many meals does the household usually take every day?
        </qstnLit>
        <ivuInstr><![CDATA[The number of meals consumed by a person is usually reported as 2 or  3.   In rare cases, one may come across a person who  may  be taking  food only once in a day or more than three times  a  day.  While in the former case the number of meals for the person  will be  1  per  day, in the latter case, 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.   A breast-fed baby does not directly share  the  food consumed by members of the household.  Hence for such babies  the entry  in this column will be '0'.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3"/>
      </valrng>
      <sumStat type="vald">
        153991
      </sumStat>
      <sumStat type="invd">
        207
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V97" name="B4_q16" files="F2" dcml="0" intrvl="contin">
      <location StartPos="100" EndPos="101" width="2" RecSegNo="1"/>
      <labl>
        Meals (School)
      </labl>
      <qstn>
        <qstnLit>
          How many free meals do the members of the household usually take from school?
        </qstnLit>
        <ivuInstr><![CDATA[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 here.   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 "Meals (School)" .  Meals received at  subsidised rate will be recorded in column "Meals (Payment)".   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  "Meals (Payment)".]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        20423
      </sumStat>
      <sumStat type="invd">
        133775
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        1.937
      </sumStat>
      <sumStat type="stdev">
        6.576
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V98" name="B4_q17" files="F2" dcml="0" intrvl="contin">
      <location StartPos="102" EndPos="103" width="2" RecSegNo="1"/>
      <labl>
        Meals (Employer)
      </labl>
      <qstn>
        <qstnLit>
          How many free meals do the members of the household usually take from the employer?
        </qstnLit>
        <ivuInstr><![CDATA[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 this column 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">
        19490
      </sumStat>
      <sumStat type="invd">
        134708
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        0.992
      </sumStat>
      <sumStat type="stdev">
        6.45
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V99" name="B4_q18" files="F2" dcml="0" intrvl="contin">
      <location StartPos="104" EndPos="105" width="2" RecSegNo="1"/>
      <labl>
        Meals (Others)
      </labl>
      <qstn>
        <qstnLit>
          How many free meals do the members of the household usually take from other sources?
        </qstnLit>
        <ivuInstr><![CDATA[Meals consumed  as guests in other households, will also be taken into account while making entries in column (18) .]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        28996
      </sumStat>
      <sumStat type="invd">
        125202
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        5.075
      </sumStat>
      <sumStat type="stdev">
        12.656
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V100" name="B4_q19" files="F2" dcml="0" intrvl="contin">
      <location StartPos="106" EndPos="107" width="2" RecSegNo="1"/>
      <labl>
        Meals (Payment)
      </labl>
      <qstn>
        <qstnLit>
          How many meals do the members of the household usually take on payment basis?
        </qstnLit>
        <ivuInstr><![CDATA[For the purpose of making entry in  column "Meals (Payment)".  'Meals received on payment'  will mean that  the informant  has  to  incur some expense or  part  with  a  certain portion  of  his  salary/wage  for  getting  the  meals.    Meals purchased  from  hotel,  restaurant or an eating  house  will  be considered  as 'meals taken away from home on payment'  and  will have  to be counted also for making entry in column "Meals (Payment)".]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        22969
      </sumStat>
      <sumStat type="invd">
        131229
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        3.323
      </sumStat>
      <sumStat type="stdev">
        11.518
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V101" name="B4_q20" files="F2" dcml="0" intrvl="contin">
      <location StartPos="108" EndPos="109" width="2" RecSegNo="1"/>
      <labl>
        Meals (At Home)
      </labl>
      <qstn>
        <qstnLit>
          How many meals do the members of the household usually take at home?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        153375
      </sumStat>
      <sumStat type="invd">
        823
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        70.535
      </sumStat>
      <sumStat type="stdev">
        17.851
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V102" name="StateGroupCode" files="F2" intrvl="discrete">
      <location StartPos="110" EndPos="111" width="2" RecSegNo="1"/>
      <labl>
        STATE GROUP CODE
      </labl>
      <qstn>
        <qstnLit>
          STATE GROUP CODE
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V103" name="RevisedStatusCode" files="F2" intrvl="discrete">
      <location StartPos="112" EndPos="113" width="2" RecSegNo="1"/>
      <labl>
        REVISED STATUS CODE (US+PS)
      </labl>
      <qstn>
        <qstnLit>
          REVISED STATUS CODE (US+PS)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V104" name="RevisedNICCode" files="F2" intrvl="discrete">
      <location StartPos="114" EndPos="115" width="2" RecSegNo="1"/>
      <labl>
        REVISED NIC CODE
      </labl>
      <qstn>
        <qstnLit>
          REVISED NIC CODE
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        59510
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V105" name="WorkerCD" files="F2" intrvl="discrete">
      <location StartPos="116" EndPos="116" width="1" RecSegNo="1"/>
      <labl>
        WORKER_CD
      </labl>
      <qstn>
        <qstnLit>
          WORKER_CD
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V106" name="LOT" files="F2" intrvl="discrete">
      <location StartPos="117" EndPos="119" width="3" RecSegNo="1"/>
      <labl>
        LOT
      </labl>
      <qstn>
        <qstnLit>
          LOT
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V108" name="Wgt_SubSample" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="120" EndPos="128" width="9" RecSegNo="1"/>
      <labl>
        Sub Sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="2.5" max="595823.59"/>
      </valrng>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2.5
      </sumStat>
      <sumStat type="max">
        595823.59
      </sumStat>
      <sumStat type="mean">
        12809.966
      </sumStat>
      <sumStat type="stdev">
        14694.209
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MULT_SS/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V109" name="Wgt_Combined" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="129" EndPos="137" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.25" max="297911.795"/>
      </valrng>
      <sumStat type="vald">
        154198
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.25
      </sumStat>
      <sumStat type="max">
        297911.795
      </sumStat>
      <sumStat type="mean">
        6439.997
      </sumStat>
      <sumStat type="stdev">
        7760.303
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MULT_SS/100, if NSS=NSC,

and

Wgt_Combined = MULT_SS/200, if NSC>NSS]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V140" name="HHID" files="F3" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        1507939
      </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="V112" name="ID" files="F3" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <qstn>
        <qstnLit>
          ID
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V113" name="RoundSchedule" files="F3" intrvl="discrete">
      <location StartPos="12" EndPos="15" width="4" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round Schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          5810
        </catValu>
        <catStat type="freq">
          1507939
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V114" name="Sector" files="F3" intrvl="discrete">
      <location StartPos="16" EndPos="16" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </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">
          821121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          686818
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V115" name="State_region" files="F3" intrvl="discrete">
      <location StartPos="17" EndPos="19" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <qstn>
        <qstnLit>
          State region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </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="F3" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          29268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          20516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          36026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          5525
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          14586
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          23846
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          28569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          56191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          157704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          71845
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          11968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          14319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          11913
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          24418
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          19583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          27382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          18849
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          59218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          126104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          33677
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          44944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhatisgarh
        </labl>
        <catStat type="freq">
          22221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          74973
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          49147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          4974
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          4655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
        <catStat type="freq">
          145851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
        <catStat type="freq">
          95424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          75491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          2920
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          3160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          54164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamilnadu
        </labl>
        <catStat type="freq">
          120300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
        <catStat type="freq">
          11147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Is.
        </labl>
        <catStat type="freq">
          7061
        </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="V116" name="Stratum" files="F3" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <qstn>
        <qstnLit>
          Stratum number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </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.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V117" name="SubStratum" files="F3" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V118" name="District" files="F3" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V119" name="SubRound" files="F3" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of six months of this round  was divided  into  two sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these two sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          745483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          762456
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V120" name="SubSample" files="F3" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </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">
          755111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          752828
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V121" name="Vill_Blk_Slno" files="F3" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V122" name="SegmentNo" files="F3" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <qstn>
        <qstnLit>
          Segment number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V123" name="Stage2_Stratum" files="F3" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V124" name="Hhold_no" files="F3" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <qstn>
        <qstnLit>
          Sample Household Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V127" name="NSS" files="F3" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Count of sub samples
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V128" name="NSC" files="F3" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        Count of samples combined
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V129" name="MULT_SS" files="F3" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="50" width="8" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <qstn>
        <qstnLit>
          MULT_SS
        </qstnLit>
      </qstn>
      <valrng>
        <range min="250" max="59582359"/>
      </valrng>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        250
      </sumStat>
      <sumStat type="max">
        59582359
      </sumStat>
      <sumStat type="mean">
        1230802.457
      </sumStat>
      <sumStat type="stdev">
        1478357.646
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V130" name="B5_q1" files="F3" intrvl="discrete">
      <location StartPos="51" EndPos="53" width="3" RecSegNo="1"/>
      <labl>
        Block 5 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 5 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          rice – P.D.S.
        </labl>
        <catStat type="freq">
          5672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          rice – other sources
        </labl>
        <catStat type="freq">
          28985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          chira
        </labl>
        <catStat type="freq">
          5098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          khoi, lawa
        </labl>
        <catStat type="freq">
          451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          muri
        </labl>
        <catStat type="freq">
          5470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          other rice products
        </labl>
        <catStat type="freq">
          1213
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          wheat/atta – P.D.S.
        </labl>
        <catStat type="freq">
          1969
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          wheat/atta – other sources
        </labl>
        <catStat type="freq">
          22054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          maida
        </labl>
        <catStat type="freq">
          3761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          suji, rawa
        </labl>
        <catStat type="freq">
          8952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          sewai, noodles
        </labl>
        <catStat type="freq">
          1807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          bread (bakery)
        </labl>
        <catStat type="freq">
          7032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          other wheat products
        </labl>
        <catStat type="freq">
          177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          jowar &amp; products
        </labl>
        <catStat type="freq">
          2333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          bajra &amp; products
        </labl>
        <catStat type="freq">
          1428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          maize &amp; products
        </labl>
        <catStat type="freq">
          1988
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          barley &amp; products
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          small millets &amp; products
        </labl>
        <catStat type="freq">
          304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          ragi &amp; products
        </labl>
        <catStat type="freq">
          1438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          cereal: s.t. (101-121)
        </labl>
        <catStat type="freq">
          31843
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl><![CDATA[cereal substitutes  (tapioca, jackfruit seed etc.)]]></labl>
        <catStat type="freq">
          2582
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          arhar (tur)
        </labl>
        <catStat type="freq">
          18162
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          gram (split)
        </labl>
        <catStat type="freq">
          10856
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          gram (whole)
        </labl>
        <catStat type="freq">
          5006
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Moong
        </labl>
        <catStat type="freq">
          15359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Masur
        </labl>
        <catStat type="freq">
          14643
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          Urd
        </labl>
        <catStat type="freq">
          11177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          Peas
        </labl>
        <catStat type="freq">
          2860
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          soyabean
        </labl>
        <catStat type="freq">
          1040
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Khesari
        </labl>
        <catStat type="freq">
          851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          other pulses
        </labl>
        <catStat type="freq">
          6559
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          gram products
        </labl>
        <catStat type="freq">
          1735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          besan
        </labl>
        <catStat type="freq">
          9305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          other pulse products
        </labl>
        <catStat type="freq">
          1967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          pulses &amp; pulse products: s.t. (140-153)
        </labl>
        <catStat type="freq">
          31280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          milk: liquid (litre)
        </labl>
        <catStat type="freq">
          24543
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          baby food
        </labl>
        <catStat type="freq">
          405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          milk : condensed/ powder
        </labl>
        <catStat type="freq">
          2161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          curd
        </labl>
        <catStat type="freq">
          2361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          ghee
        </labl>
        <catStat type="freq">
          5392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          butter
        </labl>
        <catStat type="freq">
          1083
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          ice-cream
        </labl>
        <catStat type="freq">
          645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          other milk products
        </labl>
        <catStat type="freq">
          1083
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          milk &amp; milk products: s.t.(160-167)
        </labl>
        <catStat type="freq">
          26532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          vanaspati, margarine
        </labl>
        <catStat type="freq">
          5509
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          mustard oil
        </labl>
        <catStat type="freq">
          16730
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          groundnut oil
        </labl>
        <catStat type="freq">
          5377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          coconut oil
        </labl>
        <catStat type="freq">
          1280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          edible oil (others)
        </labl>
        <catStat type="freq">
          9787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          edible oil: s.t. (170-174)
        </labl>
        <catStat type="freq">
          31548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          eggs (no.)
        </labl>
        <catStat type="freq">
          13858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          fish, prawn
        </labl>
        <catStat type="freq">
          12618
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          goat meat/mutton
        </labl>
        <catStat type="freq">
          7382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          beef/ buffalo meat
        </labl>
        <catStat type="freq">
          3408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          pork
        </labl>
        <catStat type="freq">
          1703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          chicken
        </labl>
        <catStat type="freq">
          8195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          others (birds, crab, oyster, tortoise, etc.)
        </labl>
        <catStat type="freq">
          911
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          egg, fish &amp; meat: s.t. (180-186)
        </labl>
        <catStat type="freq">
          20970
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          potato
        </labl>
        <catStat type="freq">
          30146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          onion
        </labl>
        <catStat type="freq">
          30734
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          radish
        </labl>
        <catStat type="freq">
          11226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          carrot
        </labl>
        <catStat type="freq">
          5740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          turnip
        </labl>
        <catStat type="freq">
          682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          beet
        </labl>
        <catStat type="freq">
          2137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          sweet potato
        </labl>
        <catStat type="freq">
          801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          arum
        </labl>
        <catStat type="freq">
          7147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          pumpkin
        </labl>
        <catStat type="freq">
          12048
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          gourd
        </labl>
        <catStat type="freq">
          13810
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          bitter gourd
        </labl>
        <catStat type="freq">
          10042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          cucumber
        </labl>
        <catStat type="freq">
          8458
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          parwal / patal
        </labl>
        <catStat type="freq">
          5639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          jhinga / torai
        </labl>
        <catStat type="freq">
          10402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          snake gourd
        </labl>
        <catStat type="freq">
          3006
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          papaya (green)
        </labl>
        <catStat type="freq">
          3699
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          cauliflower
        </labl>
        <catStat type="freq">
          11598
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          cabbage
        </labl>
        <catStat type="freq">
          14463
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          brinjal
        </labl>
        <catStat type="freq">
          24794
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          lady’s finger
        </labl>
        <catStat type="freq">
          17274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          palak/other leafy vegetables
        </labl>
        <catStat type="freq">
          23910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          french beans and barbati
        </labl>
        <catStat type="freq">
          8666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          tomato
        </labl>
        <catStat type="freq">
          24061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          peas
        </labl>
        <catStat type="freq">
          2854
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          chillis (green)
        </labl>
        <catStat type="freq">
          28447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          capsicum
        </labl>
        <catStat type="freq">
          1326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          plantain (green)
        </labl>
        <catStat type="freq">
          2895
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          jackfruit (green)
        </labl>
        <catStat type="freq">
          473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          lemon (no.)
        </labl>
        <catStat type="freq">
          13261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          other vegetables
        </labl>
        <catStat type="freq">
          17973
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          vegetables: s.t. (190-222)
        </labl>
        <catStat type="freq">
          31777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          banana (no.)
        </labl>
        <catStat type="freq">
          21323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          jackfruit
        </labl>
        <catStat type="freq">
          369
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          watermelon
        </labl>
        <catStat type="freq">
          178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Pineapple(no.)
        </labl>
        <catStat type="freq">
          982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          coconut (no.)
        </labl>
        <catStat type="freq">
          9739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          guava
        </labl>
        <catStat type="freq">
          4932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          singara
        </labl>
        <catStat type="freq">
          1154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          orange,mausami (no.)
        </labl>
        <catStat type="freq">
          3007
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          papaya
        </labl>
        <catStat type="freq">
          1953
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          mango
        </labl>
        <catStat type="freq">
          2000
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          kharbooza
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          pears (naspati)
        </labl>
        <catStat type="freq">
          895
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          berries
        </labl>
        <catStat type="freq">
          208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          leechi
        </labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          apple
        </labl>
        <catStat type="freq">
          8494
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          grapes
        </labl>
        <catStat type="freq">
          1569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          other fresh fruits
        </labl>
        <catStat type="freq">
          4404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          fruits (fresh) : s.t. (230-247)
        </labl>
        <catStat type="freq">
          26642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          coconut (copra)
        </labl>
        <catStat type="freq">
          3451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          groundnut
        </labl>
        <catStat type="freq">
          6661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          dates
        </labl>
        <catStat type="freq">
          1354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          cashewnut
        </labl>
        <catStat type="freq">
          1485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          walnut
        </labl>
        <catStat type="freq">
          209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          other nuts
        </labl>
        <catStat type="freq">
          296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          raisin (kishmish, monacca, etc.)
        </labl>
        <catStat type="freq">
          1948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          other dry fruits
        </labl>
        <catStat type="freq">
          1136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          fruits (dry) : s.t. (250-257)
        </labl>
        <catStat type="freq">
          9815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          sugar - P.D.S.
        </labl>
        <catStat type="freq">
          7721
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          sugar - other sources
        </labl>
        <catStat type="freq">
          26563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          gur
        </labl>
        <catStat type="freq">
          7281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          candy (misri)
        </labl>
        <catStat type="freq">
          271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          honey
        </labl>
        <catStat type="freq">
          229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          sugar : s.t. (260-264)
        </labl>
        <catStat type="freq">
          30713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          salt
        </labl>
        <catStat type="freq">
          31760
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          turmeric (gm)
        </labl>
        <catStat type="freq">
          30919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          black pepper (gm)
        </labl>
        <catStat type="freq">
          9184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          dry chillies(gm)
        </labl>
        <catStat type="freq">
          28672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          garlic (gm)
        </labl>
        <catStat type="freq">
          27570
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          tamarind (gm)
        </labl>
        <catStat type="freq">
          8643
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          ginger (gm)
        </labl>
        <catStat type="freq">
          20304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          curry powder (gm)
        </labl>
        <catStat type="freq">
          7680
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          oilseeds (gm)
        </labl>
        <catStat type="freq">
          11903
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          other spices (gm)
        </labl>
        <catStat type="freq">
          28954
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          spices : s.t. (280-288)
        </labl>
        <catStat type="freq">
          31680
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          tea : cups (no.)
        </labl>
        <catStat type="freq">
          17851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          tea : leaf (gm)
        </labl>
        <catStat type="freq">
          27028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          coffee : cups (no.)
        </labl>
        <catStat type="freq">
          518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          coffee: powder (gm)
        </labl>
        <catStat type="freq">
          2546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          ice
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          cold beverages: bottled/canned (no.)
        </labl>
        <catStat type="freq">
          1924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          fruit juice and shake (glass)
        </labl>
        <catStat type="freq">
          813
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          coconut: green (no.)
        </labl>
        <catStat type="freq">
          1019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl><![CDATA[other beverages (cocoa,  etc.)]]></labl>
        <catStat type="freq">
          1052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          biscuits
        </labl>
        <catStat type="freq">
          19895
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          salted refreshments
        </labl>
        <catStat type="freq">
          16714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          prepared sweets
        </labl>
        <catStat type="freq">
          9248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          cooked meals (no.)
        </labl>
        <catStat type="freq">
          3444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          cake, pastry
        </labl>
        <catStat type="freq">
          722
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          pickles (gm)
        </labl>
        <catStat type="freq">
          6093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          sauce (gm)
        </labl>
        <catStat type="freq">
          569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          jam, jelly (gm)
        </labl>
        <catStat type="freq">
          559
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          other processed food
        </labl>
        <catStat type="freq">
          10177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          beverages, etc.: s.t. (290-308)
        </labl>
        <catStat type="freq">
          32127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          pan : leaf (no.)
        </labl>
        <catStat type="freq">
          4039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          pan : finished (no.)
        </labl>
        <catStat type="freq">
          4141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          supari (gm)
        </labl>
        <catStat type="freq">
          4827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          lime (gm)
        </labl>
        <catStat type="freq">
          6122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          katha (gm)
        </labl>
        <catStat type="freq">
          917
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          other ingredients for pan (gm)
        </labl>
        <catStat type="freq">
          1925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          pan: s.t. (310-315)
        </labl>
        <catStat type="freq">
          10277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          bidi (no.)
        </labl>
        <catStat type="freq">
          8968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          cigarettes (no.)
        </labl>
        <catStat type="freq">
          2761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          leaf tobacco
        </labl>
        <catStat type="freq">
          5351
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          snuff (gm)
        </labl>
        <catStat type="freq">
          256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          hookah tobacco
        </labl>
        <catStat type="freq">
          708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          cheroot (no.)
        </labl>
        <catStat type="freq">
          166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          zarda, kimam, surti (gm)
        </labl>
        <catStat type="freq">
          1501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          other tobacco products (gm)
        </labl>
        <catStat type="freq">
          2010
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          tobacco: s.t. (320-327)
        </labl>
        <catStat type="freq">
          17902
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          ganja (gm)
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          toddy (litre)
        </labl>
        <catStat type="freq">
          528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          country liquor (litre)
        </labl>
        <catStat type="freq">
          3207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          beer (litre)
        </labl>
        <catStat type="freq">
          341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          foreign liquor or refined liquor (litre)
        </labl>
        <catStat type="freq">
          1157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          other intoxicants
        </labl>
        <catStat type="freq">
          389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          intoxicants: s.t. (330-335)
        </labl>
        <catStat type="freq">
          5278
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V131" name="B5_q3" files="F3" dcml="2" intrvl="contin">
      <location StartPos="54" EndPos="61" 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" max="15300"/>
      </valrng>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15300
      </sumStat>
      <sumStat type="mean">
        66.788
      </sumStat>
      <sumStat type="stdev">
        231.03
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V132" name="B5_q4" files="F3" dcml="2" intrvl="contin">
      <location StartPos="62" EndPos="69" 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="0.02" max="40652"/>
      </valrng>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.02
      </sumStat>
      <sumStat type="max">
        40652
      </sumStat>
      <sumStat type="mean">
        80.05
      </sumStat>
      <sumStat type="stdev">
        173.427
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V133" name="FoodCode" files="F3" intrvl="discrete">
      <location StartPos="70" EndPos="70" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <qstn>
        <qstnLit>
          FoodCode
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V134" name="OnUseOfDurable" files="F3" intrvl="discrete">
      <location StartPos="71" EndPos="71" width="1" RecSegNo="1"/>
      <labl>
        On Use Of Durable
      </labl>
      <qstn>
        <qstnLit>
          On Use Of Durable
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V135" name="StateGroupCode" files="F3" intrvl="discrete">
      <location StartPos="72" EndPos="73" width="2" RecSegNo="1"/>
      <labl>
        StateGroupCode
      </labl>
      <qstn>
        <qstnLit>
          STATE GROUP CODE
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V136" name="LOT" files="F3" intrvl="discrete">
      <location StartPos="74" EndPos="76" width="3" RecSegNo="1"/>
      <labl>
        LOT
      </labl>
      <qstn>
        <qstnLit>
          LOT
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V138" name="Wgt_SubSample" wgt="wgt" files="F3" dcml="2" intrvl="contin">
      <location StartPos="77" EndPos="85" width="9" RecSegNo="1"/>
      <labl>
        Sub Sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="2.5" max="595823.59"/>
      </valrng>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2.5
      </sumStat>
      <sumStat type="max">
        595823.59
      </sumStat>
      <sumStat type="mean">
        12308.025
      </sumStat>
      <sumStat type="stdev">
        14783.576
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MULT_SS/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V139" name="Wgt_Combined" wgt="wgt" files="F3" dcml="2" intrvl="contin">
      <location StartPos="86" EndPos="94" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.25" max="297911.795"/>
      </valrng>
      <sumStat type="vald">
        1507939
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.25
      </sumStat>
      <sumStat type="max">
        297911.795
      </sumStat>
      <sumStat type="mean">
        6192.185
      </sumStat>
      <sumStat type="stdev">
        7942.272
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MULT_SS/100, if NSS=NSC,

and

Wgt_Combined = MULT_SS/200, if NSC>NSS]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V169" name="HHID" files="F4" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        162932
      </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="V141" name="ID" files="F4" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <qstn>
        <qstnLit>
          ID
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V142" name="RoundSchedule" files="F4" intrvl="discrete">
      <location StartPos="12" EndPos="15" width="4" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round Schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          5810
        </catValu>
        <catStat type="freq">
          162932
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V143" name="Sector" files="F4" intrvl="discrete">
      <location StartPos="16" EndPos="16" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </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">
          95848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          67084
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V144" name="State_region" files="F4" intrvl="discrete">
      <location StartPos="17" EndPos="19" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <qstn>
        <qstnLit>
          State region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </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="V166" name="State" files="F4" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          3869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          2344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          4320
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          505
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          1509
        </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">
          2707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          7135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          18766
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          9130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1363
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          3419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          2262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2971
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          5992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          13525
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          4148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          4806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhatisgarh
        </labl>
        <catStat type="freq">
          2498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          8826
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          4819
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          411
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
        <catStat type="freq">
          13447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
        <catStat type="freq">
          9847
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          7179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          310
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          5511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamilnadu
        </labl>
        <catStat type="freq">
          10964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
        <catStat type="freq">
          934
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Is.
        </labl>
        <catStat type="freq">
          630
        </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="V145" name="Stratum" files="F4" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <qstn>
        <qstnLit>
          Stratum number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </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.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V146" name="SubStratum" files="F4" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V147" name="District" files="F4" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V148" name="SubRound" files="F4" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of six months of this round  was divided  into  two sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these two sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          80902
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          82030
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V149" name="SubSample" files="F4" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </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">
          81593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          81339
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V150" name="Vill_Blk_Slno" files="F4" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V151" name="SegmentNo" files="F4" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <qstn>
        <qstnLit>
          Segment number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V152" name="Stage2_Stratum" files="F4" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V153" name="Hhold_no" files="F4" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <qstn>
        <qstnLit>
          Sample Household Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V156" name="NSS" files="F4" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Count of sub samples
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V157" name="NSC" files="F4" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        Count of samples combined
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V158" name="MULT_SS" files="F4" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="50" width="8" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <qstn>
        <qstnLit>
          MULT_SS
        </qstnLit>
      </qstn>
      <valrng>
        <range min="250" max="59582359"/>
      </valrng>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        250
      </sumStat>
      <sumStat type="max">
        59582359
      </sumStat>
      <sumStat type="mean">
        1257700.979
      </sumStat>
      <sumStat type="stdev">
        1472048.321
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V159" name="B5_1_q1" files="F4" intrvl="discrete">
      <location StartPos="51" EndPos="53" width="3" RecSegNo="1"/>
      <labl>
        Block 5.1 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 5.1 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          coke
        </labl>
        <catStat type="freq">
          186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          firewood and chips
        </labl>
        <catStat type="freq">
          20179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          electricity (std. Unit)
        </labl>
        <catStat type="freq">
          22405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          dung cake
        </labl>
        <catStat type="freq">
          8288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          kerosene - P.D.S. (litre)
        </labl>
        <catStat type="freq">
          16691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          kerosene - other sources (litre)
        </labl>
        <catStat type="freq">
          11333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          matches (box)
        </labl>
        <catStat type="freq">
          31352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          coal
        </labl>
        <catStat type="freq">
          547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          LPG
        </labl>
        <catStat type="freq">
          10172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          charcoal
        </labl>
        <catStat type="freq">
          224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          candle (no.)
        </labl>
        <catStat type="freq">
          6984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          gobar gas
        </labl>
        <catStat type="freq">
          86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          other fuel
        </labl>
        <catStat type="freq">
          1921
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          fuel and light: s.t. (340-353)
        </labl>
        <catStat type="freq">
          32564
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V160" name="B5_1_q3" files="F4" dcml="2" intrvl="contin">
      <location StartPos="54" EndPos="60" width="7" 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" max="3828.82"/>
      </valrng>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3828.82
      </sumStat>
      <sumStat type="mean">
        30.417
      </sumStat>
      <sumStat type="stdev">
        70.047
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V161" name="B5_1_q4" files="F4" dcml="2" intrvl="contin">
      <location StartPos="61" EndPos="67" width="7" 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="0.4" max="9448"/>
      </valrng>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.4
      </sumStat>
      <sumStat type="max">
        9448
      </sumStat>
      <sumStat type="mean">
        129.946
      </sumStat>
      <sumStat type="stdev">
        190.647
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V162" name="FoodCode" files="F4" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <qstn>
        <qstnLit>
          FoodCode
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V163" name="OnUseOfDurable" files="F4" intrvl="discrete">
      <location StartPos="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        On Use Of Durable
      </labl>
      <qstn>
        <qstnLit>
          On Use Of Durable
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V164" name="StateGroupCode" files="F4" intrvl="discrete">
      <location StartPos="70" EndPos="71" width="2" RecSegNo="1"/>
      <labl>
        StateGroupCode
      </labl>
      <qstn>
        <qstnLit>
          STATE GROUP CODE
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V165" name="LOT" files="F4" intrvl="discrete">
      <location StartPos="72" EndPos="74" width="3" RecSegNo="1"/>
      <labl>
        LOT
      </labl>
      <qstn>
        <qstnLit>
          LOT
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V167" name="Wgt_SubSample" wgt="wgt" files="F4" dcml="2" intrvl="contin">
      <location StartPos="75" EndPos="83" width="9" RecSegNo="1"/>
      <labl>
        Sub Sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="2.5" max="595823.59"/>
      </valrng>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2.5
      </sumStat>
      <sumStat type="max">
        595823.59
      </sumStat>
      <sumStat type="mean">
        12577.01
      </sumStat>
      <sumStat type="stdev">
        14720.483
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MULT_SS/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V168" name="Wgt_Combined" wgt="wgt" files="F4" dcml="2" intrvl="contin">
      <location StartPos="84" EndPos="92" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.25" max="297911.795"/>
      </valrng>
      <sumStat type="vald">
        162932
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.25
      </sumStat>
      <sumStat type="max">
        297911.795
      </sumStat>
      <sumStat type="mean">
        6323.362
      </sumStat>
      <sumStat type="stdev">
        7827.529
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MULT_SS/100, if NSS=NSC,

and

Wgt_Combined = MULT_SS/200, if NSC>NSS]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V198" name="HHID" files="F5" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        289508
      </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="V170" name="ID" files="F5" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <qstn>
        <qstnLit>
          ID
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V171" name="RoundSchedule" files="F5" intrvl="discrete">
      <location StartPos="12" EndPos="15" width="4" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round Schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          5810
        </catValu>
        <catStat type="freq">
          289508
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V172" name="Sector" files="F5" intrvl="discrete">
      <location StartPos="16" EndPos="16" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </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">
          164938
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          124570
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V173" name="State_region" files="F5" intrvl="discrete">
      <location StartPos="17" EndPos="19" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <qstn>
        <qstnLit>
          State region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </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="V195" name="State" files="F5" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          5571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          3821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          7298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2653
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          4839
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          5496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          13066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          34462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          17612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          2906
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          2807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          2577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          5172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          3367
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          5232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          3888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          12181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          24949
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          7700
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          8277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhatisgarh
        </labl>
        <catStat type="freq">
          4776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          15806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          8979
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          954
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
        <catStat type="freq">
          23283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
        <catStat type="freq">
          15563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          12299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          425
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          9153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamilnadu
        </labl>
        <catStat type="freq">
          19059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
        <catStat type="freq">
          1845
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Is.
        </labl>
        <catStat type="freq">
          1115
        </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="V174" name="Stratum" files="F5" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <qstn>
        <qstnLit>
          Stratum number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </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.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V175" name="SubStratum" files="F5" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V176" name="District" files="F5" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V177" name="SubRound" files="F5" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of six months of this round  was divided  into  two sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these two sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          144048
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          145460
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V178" name="SubSample" files="F5" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </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">
          145286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          144222
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V179" name="Vill_Blk_Slno" files="F5" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V180" name="SegmentNo" files="F5" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <qstn>
        <qstnLit>
          Segment number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V181" name="Stage2_Stratum" files="F5" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V182" name="Hhold_no" files="F5" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <qstn>
        <qstnLit>
          Sample Household Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V185" name="NSS" files="F5" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Count of sub samples
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V186" name="NSC" files="F5" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        Count of samples combined
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V187" name="MULT_SS" files="F5" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="50" width="8" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <qstn>
        <qstnLit>
          MULT_SS
        </qstnLit>
      </qstn>
      <valrng>
        <range min="250" max="59582359"/>
      </valrng>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        250
      </sumStat>
      <sumStat type="max">
        59582359
      </sumStat>
      <sumStat type="mean">
        1238983.881
      </sumStat>
      <sumStat type="stdev">
        1492353.82
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V188" name="B6_q1" files="F5" intrvl="discrete">
      <location StartPos="51" EndPos="53" width="3" RecSegNo="1"/>
      <labl>
        Block 6 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Clothing Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          dhoti (metre)
        </labl>
        <catStat type="freq">
          7934
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          sari (metre)
        </labl>
        <catStat type="freq">
          23783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          cloth for shirt, pyjama, salwar etc. (metre)
        </labl>
        <catStat type="freq">
          27314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          cloth for coat, trousers, overcoat etc. (metre)
        </labl>
        <catStat type="freq">
          21148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          chaddar, dupatta, shawl etc. (no.)
        </labl>
        <catStat type="freq">
          10594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          lungi (no.)
        </labl>
        <catStat type="freq">
          18965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          gamchha, towel, handkerchief (no.)
        </labl>
        <catStat type="freq">
          28085
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          hosiery articles, stockings, under-garments etc. (no.)
        </labl>
        <catStat type="freq">
          29317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl><![CDATA[ready-made garments (no.)  ]]></labl>
        <catStat type="freq">
          25174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          headwear (no.)
        </labl>
        <catStat type="freq">
          2424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          knitted garments, sweater, pullover, cardigan, muffler, scarf etc. (no.)
        </labl>
        <catStat type="freq">
          9561
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          knitting wool, cotton yarn (gm)
        </labl>
        <catStat type="freq">
          1505
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          clothing: others
        </labl>
        <catStat type="freq">
          6563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          clothing: second-hand
        </labl>
        <catStat type="freq">
          2743
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          clothing: s.t. (360-374)
        </labl>
        <catStat type="freq">
          32526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          bed sheet, bed cover (no.)
        </labl>
        <catStat type="freq">
          12563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          rug, blanket (no.)
        </labl>
        <catStat type="freq">
          3352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          pillow, quilt, mattress (no.)
        </labl>
        <catStat type="freq">
          3153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          cloth for upholstery, curtain, table-cloth etc. (metre)
        </labl>
        <catStat type="freq">
          893
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          mosquito net (no.)
        </labl>
        <catStat type="freq">
          1830
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          mats and matting (no.)
        </labl>
        <catStat type="freq">
          2057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          cotton (gm)
        </labl>
        <catStat type="freq">
          576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          bedding: others
        </labl>
        <catStat type="freq">
          999
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          bedding, etc.: s.t. (380-387)
        </labl>
        <catStat type="freq">
          16449
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V189" name="B6_q3" files="F5" dcml="2" intrvl="contin">
      <location StartPos="54" EndPos="60" width="7" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2876.71"/>
      </valrng>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2876.71
      </sumStat>
      <sumStat type="mean">
        1.214
      </sumStat>
      <sumStat type="stdev">
        17.796
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V190" name="B6_q4" files="F5" dcml="2" intrvl="contin">
      <location StartPos="61" EndPos="67" width="7" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the purchase of the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.07" max="7446.53"/>
      </valrng>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.07
      </sumStat>
      <sumStat type="max">
        7446.53
      </sumStat>
      <sumStat type="mean">
        54.442
      </sumStat>
      <sumStat type="stdev">
        100.581
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V191" name="FoodCode" files="F5" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <qstn>
        <qstnLit>
          FoodCode
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V192" name="OnUseOfDurable" files="F5" intrvl="discrete">
      <location StartPos="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        On Use Of Durable
      </labl>
      <qstn>
        <qstnLit>
          On Use Of Durable
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V193" name="StateGroupCode" files="F5" intrvl="discrete">
      <location StartPos="70" EndPos="71" width="2" RecSegNo="1"/>
      <labl>
        StateGroupCode
      </labl>
      <qstn>
        <qstnLit>
          STATE GROUP CODE
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V194" name="LOT" files="F5" intrvl="discrete">
      <location StartPos="72" EndPos="74" width="3" RecSegNo="1"/>
      <labl>
        LOT
      </labl>
      <qstn>
        <qstnLit>
          LOT
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V196" name="Wgt_SubSample" wgt="wgt" files="F5" dcml="2" intrvl="contin">
      <location StartPos="75" EndPos="83" width="9" RecSegNo="1"/>
      <labl>
        Sub Sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="2.5" max="595823.59"/>
      </valrng>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2.5
      </sumStat>
      <sumStat type="max">
        595823.59
      </sumStat>
      <sumStat type="mean">
        12389.839
      </sumStat>
      <sumStat type="stdev">
        14923.538
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MULT_SS/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V197" name="Wgt_Combined" wgt="wgt" files="F5" dcml="2" intrvl="contin">
      <location StartPos="84" EndPos="92" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.25" max="297911.795"/>
      </valrng>
      <sumStat type="vald">
        289508
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.25
      </sumStat>
      <sumStat type="max">
        297911.795
      </sumStat>
      <sumStat type="mean">
        6230.507
      </sumStat>
      <sumStat type="stdev">
        7915.618
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MULT_SS/100, if NSS=NSC,

and

Wgt_Combined = MULT_SS/200, if NSC>NSS]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V227" name="HHID" files="F6" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        94478
      </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="V199" name="ID" files="F6" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <qstn>
        <qstnLit>
          ID
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V200" name="RoundSchedule" files="F6" intrvl="discrete">
      <location StartPos="12" EndPos="15" width="4" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round Schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          5810
        </catValu>
        <catStat type="freq">
          94478
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V201" name="Sector" files="F6" intrvl="discrete">
      <location StartPos="16" EndPos="16" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </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">
          50473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          44005
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V202" name="State_region" files="F6" intrvl="discrete">
      <location StartPos="17" EndPos="19" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <qstn>
        <qstnLit>
          State region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </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="V224" name="State" files="F6" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          2489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1678
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          2974
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          870
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          2075
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          5026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          10691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          4228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          971
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1081
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1877
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          1559
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          3203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          7012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          2117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          2279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhatisgarh
        </labl>
        <catStat type="freq">
          1374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          4975
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          3202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
        <catStat type="freq">
          8207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
        <catStat type="freq">
          5228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          4117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          2820
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamilnadu
        </labl>
        <catStat type="freq">
          5643
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
        <catStat type="freq">
          591
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Is.
        </labl>
        <catStat type="freq">
          430
        </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="Stratum" files="F6" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <qstn>
        <qstnLit>
          Stratum number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </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.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V204" name="SubStratum" files="F6" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V205" name="District" files="F6" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V206" name="SubRound" files="F6" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of six months of this round  was divided  into  two sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these two sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          46971
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          47507
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V207" name="SubSample" files="F6" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </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">
          47357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          47121
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V208" name="Vill_Blk_Slno" files="F6" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V209" name="SegmentNo" files="F6" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <qstn>
        <qstnLit>
          Segment number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V210" name="Stage2_Stratum" files="F6" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V211" name="Hhold_no" files="F6" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <qstn>
        <qstnLit>
          Sample Household Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V214" name="NSS" files="F6" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Count of sub samples
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V215" name="NSC" files="F6" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        Count of samples combined
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V216" name="MULT_SS" files="F6" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="50" width="8" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <qstn>
        <qstnLit>
          MULT_SS
        </qstnLit>
      </qstn>
      <valrng>
        <range min="250" max="59582359"/>
      </valrng>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        250
      </sumStat>
      <sumStat type="max">
        59582359
      </sumStat>
      <sumStat type="mean">
        1190569.995
      </sumStat>
      <sumStat type="stdev">
        1504406.684
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V217" name="B7_q1" files="F6" intrvl="discrete">
      <location StartPos="51" EndPos="53" width="3" RecSegNo="1"/>
      <labl>
        Block 7 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 7 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          leather boots, shoes
        </labl>
        <catStat type="freq">
          10176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          leather sandals, chappals etc.
        </labl>
        <catStat type="freq">
          13063
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          other leather footwear
        </labl>
        <catStat type="freq">
          4885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          rubber / PVC footwear
        </labl>
        <catStat type="freq">
          26526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          other footwear
        </labl>
        <catStat type="freq">
          8250
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          footwear: s.t. (390-394)
        </labl>
        <catStat type="freq">
          31578
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V218" name="B7_q3" files="F6" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        No. of pairs
      </labl>
      <qstn>
        <qstnLit>
          How many pairs of the item were purchased by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="48"/>
      </valrng>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        48
      </sumStat>
      <sumStat type="mean">
        0.0265
      </sumStat>
      <sumStat type="stdev">
        0.655
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V219" name="B7_q4" files="F6" dcml="0" intrvl="contin">
      <location StartPos="56" EndPos="60" width="5" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the purchase of the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="18080"/>
      </valrng>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        18080
      </sumStat>
      <sumStat type="mean">
        33.198
      </sumStat>
      <sumStat type="stdev">
        178.537
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V220" name="FoodCode" files="F6" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <qstn>
        <qstnLit>
          FoodCode
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V221" name="OnUseOfDurable" files="F6" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        On Use Of Durable
      </labl>
      <qstn>
        <qstnLit>
          On Use Of Durable
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V222" name="StateGroupCode" files="F6" intrvl="discrete">
      <location StartPos="63" EndPos="64" width="2" RecSegNo="1"/>
      <labl>
        StateGroupCode
      </labl>
      <qstn>
        <qstnLit>
          STATE GROUP CODE
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V223" name="LOT" files="F6" intrvl="discrete">
      <location StartPos="65" EndPos="67" width="3" RecSegNo="1"/>
      <labl>
        LOT
      </labl>
      <qstn>
        <qstnLit>
          LOT
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V225" name="Wgt_SubSample" wgt="wgt" files="F6" dcml="2" intrvl="contin">
      <location StartPos="68" EndPos="76" width="9" RecSegNo="1"/>
      <labl>
        Sub Sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="2.5" max="595823.59"/>
      </valrng>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2.5
      </sumStat>
      <sumStat type="max">
        595823.59
      </sumStat>
      <sumStat type="mean">
        11905.7
      </sumStat>
      <sumStat type="stdev">
        15044.067
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MULT_SS/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V226" name="Wgt_Combined" wgt="wgt" files="F6" dcml="2" intrvl="contin">
      <location StartPos="77" EndPos="85" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.25" max="297911.795"/>
      </valrng>
      <sumStat type="vald">
        94478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.25
      </sumStat>
      <sumStat type="max">
        297911.795
      </sumStat>
      <sumStat type="mean">
        5985.783
      </sumStat>
      <sumStat type="stdev">
        7995.261
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MULT_SS/100, if NSS=NSC,

and

Wgt_Combined = MULT_SS/200, if NSC>NSS]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V255" name="HHID" files="F7" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        108640
      </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="V228" name="ID" files="F7" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <qstn>
        <qstnLit>
          ID
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V229" name="RoundSchedule" files="F7" intrvl="discrete">
      <location StartPos="12" EndPos="15" width="4" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round Schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          5810
        </catValu>
        <catStat type="freq">
          108640
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V230" name="Sector" files="F7" intrvl="discrete">
      <location StartPos="16" EndPos="16" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </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">
          56947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          51693
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V231" name="State_region" files="F7" intrvl="discrete">
      <location StartPos="17" EndPos="19" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <qstn>
        <qstnLit>
          State region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </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="V252" name="State" files="F7" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          2592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          2950
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          2130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1853
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          4559
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          12055
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          4666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          3082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          2139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          4449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          9298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          2441
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          2788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhatisgarh
        </labl>
        <catStat type="freq">
          1546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          5358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          3262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          369
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
        <catStat type="freq">
          10032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
        <catStat type="freq">
          5470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          4516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4794
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamilnadu
        </labl>
        <catStat type="freq">
          6453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
        <catStat type="freq">
          693
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Is.
        </labl>
        <catStat type="freq">
          342
        </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="V232" name="Stratum" files="F7" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <qstn>
        <qstnLit>
          Stratum number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </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.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V233" name="SubStratum" files="F7" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V234" name="District" files="F7" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V235" name="SubRound" files="F7" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of six months of this round  was divided  into  two sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these two sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          54444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          54196
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V236" name="SubSample" files="F7" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </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">
          55040
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          53600
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V237" name="Vill_Blk_Slno" files="F7" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V238" name="SegmentNo" files="F7" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <qstn>
        <qstnLit>
          Segment number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V239" name="Stage2_Stratum" files="F7" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V240" name="Hhold_no" files="F7" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <qstn>
        <qstnLit>
          Sample Household Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V243" name="NSS" files="F7" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Count of sub samples
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V244" name="NSC" files="F7" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        Count of samples combined
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V245" name="MULT_SS" files="F7" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="50" width="8" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <qstn>
        <qstnLit>
          MULT_SS
        </qstnLit>
      </qstn>
      <valrng>
        <range min="250" max="59582359"/>
      </valrng>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        250
      </sumStat>
      <sumStat type="max">
        59582359
      </sumStat>
      <sumStat type="mean">
        1182918.701
      </sumStat>
      <sumStat type="stdev">
        1479782.975
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V246" name="B8_1_q1" files="F7" intrvl="discrete">
      <location StartPos="51" EndPos="53" width="3" RecSegNo="1"/>
      <labl>
        Block 8.1 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 8.1 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          books, journals
        </labl>
        <catStat type="freq">
          17937
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          newspapers, periodicals
        </labl>
        <catStat type="freq">
          5993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          library charges
        </labl>
        <catStat type="freq">
          699
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          stationery
        </labl>
        <catStat type="freq">
          18828
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          tuition and other fees (school, college, etc.)
        </labl>
        <catStat type="freq">
          14014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          private tutor/coaching centre
        </labl>
        <catStat type="freq">
          4708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          other educational expenses
        </labl>
        <catStat type="freq">
          9348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          education: s.t. (400-406)
        </labl>
        <catStat type="freq">
          21688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          medicine
        </labl>
        <catStat type="freq">
          3688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          X-ray, ECG, pathological test etc.
        </labl>
        <catStat type="freq">
          1872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          doctor's/surgeon's fee
        </labl>
        <catStat type="freq">
          2429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          hospital &amp; nursing home charges
        </labl>
        <catStat type="freq">
          1940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          other medical expenses
        </labl>
        <catStat type="freq">
          1588
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          medical - institutional: s.t. (410-414)
        </labl>
        <catStat type="freq">
          3908
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V247" name="B8_1_q3" files="F7" dcml="2" intrvl="contin">
      <location StartPos="54" EndPos="61" 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 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="24657.5"/>
      </valrng>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        24657.5
      </sumStat>
      <sumStat type="mean">
        135.026
      </sumStat>
      <sumStat type="stdev">
        407.258
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V248" name="FoodCode" files="F7" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <qstn>
        <qstnLit>
          FoodCode
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V249" name="OnUseOfDurable" files="F7" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        On Use Of Durable
      </labl>
      <qstn>
        <qstnLit>
          On Use Of Durable
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V250" name="StateGroupCode" files="F7" intrvl="discrete">
      <location StartPos="64" EndPos="65" width="2" RecSegNo="1"/>
      <labl>
        StateGroupCode
      </labl>
      <qstn>
        <qstnLit>
          STATE GROUP CODE
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V251" name="LOT" files="F7" intrvl="discrete">
      <location StartPos="66" EndPos="68" width="3" RecSegNo="1"/>
      <labl>
        LOT
      </labl>
      <qstn>
        <qstnLit>
          LOT
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V253" name="Wgt_SubSample" wgt="wgt" files="F7" dcml="2" intrvl="contin">
      <location StartPos="69" EndPos="77" width="9" RecSegNo="1"/>
      <labl>
        Sub Sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="2.5" max="595823.59"/>
      </valrng>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2.5
      </sumStat>
      <sumStat type="max">
        595823.59
      </sumStat>
      <sumStat type="mean">
        11829.187
      </sumStat>
      <sumStat type="stdev">
        14797.83
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MULT_SS/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V254" name="Wgt_Combined" wgt="wgt" files="F7" dcml="2" intrvl="contin">
      <location StartPos="78" EndPos="86" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.25" max="297911.795"/>
      </valrng>
      <sumStat type="vald">
        108640
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.25
      </sumStat>
      <sumStat type="max">
        297911.795
      </sumStat>
      <sumStat type="mean">
        5937.465
      </sumStat>
      <sumStat type="stdev">
        7761.94
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MULT_SS/100, if NSS=NSC,

and

Wgt_Combined = MULT_SS/200, if NSC>NSS]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V283" name="HHID" files="F8" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        629160
      </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="V256" name="ID" files="F8" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <qstn>
        <qstnLit>
          ID
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V257" name="RoundSchedule" files="F8" intrvl="discrete">
      <location StartPos="12" EndPos="15" width="4" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round Schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          5810
        </catValu>
        <catStat type="freq">
          629160
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V258" name="Sector" files="F8" intrvl="discrete">
      <location StartPos="16" EndPos="16" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </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">
          312803
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          316357
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V259" name="State_region" files="F8" intrvl="discrete">
      <location StartPos="17" EndPos="19" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <qstn>
        <qstnLit>
          State region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </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="V280" name="State" files="F8" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          14175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          8825
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          17605
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          2482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          5361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          10656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          14755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          25625
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          67152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          28710
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          4052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          4468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          4641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          10625
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          8572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          9591
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          6794
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          22241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          49027
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          13928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          15010
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhatisgarh
        </labl>
        <catStat type="freq">
          8394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          33297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          21588
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          2492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          2384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
        <catStat type="freq">
          61473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
        <catStat type="freq">
          39356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          31559
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          1288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          1044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          22066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamilnadu
        </labl>
        <catStat type="freq">
          52407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
        <catStat type="freq">
          4968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Is.
        </labl>
        <catStat type="freq">
          2549
        </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="V260" name="Stratum" files="F8" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <qstn>
        <qstnLit>
          Stratum number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </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.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V261" name="SubStratum" files="F8" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V262" name="District" files="F8" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V263" name="SubRound" files="F8" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of six months of this round  was divided  into  two sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these two sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          312539
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          316621
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V264" name="SubSample" files="F8" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </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">
          315327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          313833
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V265" name="Vill_Blk_Slno" files="F8" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V266" name="SegmentNo" files="F8" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <qstn>
        <qstnLit>
          Segment number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V267" name="Stage2_Stratum" files="F8" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V268" name="Hhold_no" files="F8" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <qstn>
        <qstnLit>
          Sample Household Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V271" name="NSS" files="F8" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Count of sub samples
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V272" name="NSC" files="F8" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        Count of samples combined
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V273" name="MULT_SS" files="F8" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="50" width="8" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <qstn>
        <qstnLit>
          MULT_SS
        </qstnLit>
      </qstn>
      <valrng>
        <range min="250" max="59582359"/>
      </valrng>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        250
      </sumStat>
      <sumStat type="max">
        59582359
      </sumStat>
      <sumStat type="mean">
        1204811.668
      </sumStat>
      <sumStat type="stdev">
        1484954.415
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V274" name="B8_2_q1" files="F8" intrvl="discrete">
      <location StartPos="51" EndPos="53" width="3" RecSegNo="1"/>
      <labl>
        Block 8.2 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 8.2 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          medicine
        </labl>
        <catStat type="freq">
          21501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          X-ray, ECG, pathological test etc.
        </labl>
        <catStat type="freq">
          809
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          doctor's/surgeon's fee
        </labl>
        <catStat type="freq">
          8769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          family planning appliances
        </labl>
        <catStat type="freq">
          286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          other medical expenses
        </labl>
        <catStat type="freq">
          868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          medical - non-institutional: s.t. (420-424)
        </labl>
        <catStat type="freq">
          21802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          cinema, theatre
        </labl>
        <catStat type="freq">
          3105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          mela, fair, picnic
        </labl>
        <catStat type="freq">
          783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          sports goods, toys etc.
        </labl>
        <catStat type="freq">
          1402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          club fees
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          goods for recreation and hobbies
        </labl>
        <catStat type="freq">
          262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          photography
        </labl>
        <catStat type="freq">
          657
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          video cassette / V.C.R. / V.C.P.(hire)
        </labl>
        <catStat type="freq">
          572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          other entertainment
        </labl>
        <catStat type="freq">
          6940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          entertainment : s.t. (430-437)
        </labl>
        <catStat type="freq">
          11124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          spectacles
        </labl>
        <catStat type="freq">
          178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          torch
        </labl>
        <catStat type="freq">
          392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          pen
        </labl>
        <catStat type="freq">
          3982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          lock
        </labl>
        <catStat type="freq">
          381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          umbrella, raincoat
        </labl>
        <catStat type="freq">
          697
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          lighter (bidi/cigarette/gas stove)
        </labl>
        <catStat type="freq">
          667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          other goods for personal care and effects
        </labl>
        <catStat type="freq">
          2831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          goods for personal care and effects: s.t. (440-446)
        </labl>
        <catStat type="freq">
          7309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          toilet soap
        </labl>
        <catStat type="freq">
          31503
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          toothbrush, toothpaste etc.
        </labl>
        <catStat type="freq">
          24592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          powder, snow, cream, lotion
        </labl>
        <catStat type="freq">
          14061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          hair oil, shampoo, hair cream
        </labl>
        <catStat type="freq">
          29381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Comb
        </labl>
        <catStat type="freq">
          2112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          shaving blades, shaving stick, razor
        </labl>
        <catStat type="freq">
          17745
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          shaving cream
        </labl>
        <catStat type="freq">
          4525
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          sanitary napkins
        </labl>
        <catStat type="freq">
          2690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          other toilet articles
        </labl>
        <catStat type="freq">
          10645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          toilet articles: s.t. (450-458)
        </labl>
        <catStat type="freq">
          32518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          electric bulb, tubelight
        </labl>
        <catStat type="freq">
          6923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          electric batteries
        </labl>
        <catStat type="freq">
          1964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          other non-durable electric goods
        </labl>
        <catStat type="freq">
          277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          Earthenware
        </labl>
        <catStat type="freq">
          1929
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          Glassware
        </labl>
        <catStat type="freq">
          574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          bucket, water bottle/feeding bottle &amp; other plastic goods
        </labl>
        <catStat type="freq">
          1717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          coir, rope etc.
        </labl>
        <catStat type="freq">
          847
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          washing soap/soda
        </labl>
        <catStat type="freq">
          31598
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          other washing requisites
        </labl>
        <catStat type="freq">
          15015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          Agarbati
        </labl>
        <catStat type="freq">
          22719
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          flower(fresh) : all purposes
        </labl>
        <catStat type="freq">
          5450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          insecticide, acid etc.
        </labl>
        <catStat type="freq">
          4157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          other petty articles
        </labl>
        <catStat type="freq">
          10062
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          sundry articles: s.t. (460-473)
        </labl>
        <catStat type="freq">
          32448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          domestic servant/cook
        </labl>
        <catStat type="freq">
          1881
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          Sweeper
        </labl>
        <catStat type="freq">
          1932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          barber, beautician etc.
        </labl>
        <catStat type="freq">
          25255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          washerman, laundry, ironing
        </labl>
        <catStat type="freq">
          5159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Tailor
        </labl>
        <catStat type="freq">
          3454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          Priest
        </labl>
        <catStat type="freq">
          3382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          486
        </catValu>
        <labl>
          legal expenses
        </labl>
        <catStat type="freq">
          101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          487
        </catValu>
        <labl>
          postage &amp; telegram
        </labl>
        <catStat type="freq">
          2898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          488
        </catValu>
        <labl>
          telephone charges
        </labl>
        <catStat type="freq">
          10195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          repair charges for non-durables
        </labl>
        <catStat type="freq">
          1128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          grinding charges
        </labl>
        <catStat type="freq">
          16256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          miscellaneous expenses
        </labl>
        <catStat type="freq">
          11033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          pet animals (incl. birds, fish)
        </labl>
        <catStat type="freq">
          974
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          other consumer services excluding conveyance
        </labl>
        <catStat type="freq">
          2830
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          consumer services excluding conveyance: s.t. (480-494)
        </labl>
        <catStat type="freq">
          30799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          airway fare
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          railway fare
        </labl>
        <catStat type="freq">
          1707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          bus/tram fare
        </labl>
        <catStat type="freq">
          18417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          taxi, auto-rickshaw fare
        </labl>
        <catStat type="freq">
          6082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          steamer, boat fare
        </labl>
        <catStat type="freq">
          211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          rickshaw (hand drawn &amp; cycle) fare
        </labl>
        <catStat type="freq">
          2679
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          horse cart fare
        </labl>
        <catStat type="freq">
          330
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          porter charges
        </labl>
        <catStat type="freq">
          199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          petrol
        </labl>
        <catStat type="freq">
          4795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          diesel
        </labl>
        <catStat type="freq">
          230
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          lubricating oil
        </labl>
        <catStat type="freq">
          2133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          school bus/van
        </labl>
        <catStat type="freq">
          654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          other conveyance expenses
        </labl>
        <catStat type="freq">
          393
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          conveyance : s.t. (500-513)
        </labl>
        <catStat type="freq">
          24590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          house rent, garage rent (actual)
        </labl>
        <catStat type="freq">
          5142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          residential land rent
        </labl>
        <catStat type="freq">
          1003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          other consumer rent
        </labl>
        <catStat type="freq">
          229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          rent: s.t. (520-522)
        </labl>
        <catStat type="freq">
          6334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          house rent, garage rent (imputed- urban only)
        </labl>
        <catStat type="freq">
          9022
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          water charges
        </labl>
        <catStat type="freq">
          6713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          other consumer taxes &amp; cesses
        </labl>
        <catStat type="freq">
          8359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          549
        </catValu>
        <labl>
          consumer taxes and cesses s.t. (540-541)
        </labl>
        <catStat type="freq">
          11766
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V275" name="B8_2_q3" files="F8" dcml="2" intrvl="contin">
      <location StartPos="54" EndPos="61" 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="0.08" max="31000"/>
      </valrng>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.08
      </sumStat>
      <sumStat type="max">
        31000
      </sumStat>
      <sumStat type="mean">
        107.742
      </sumStat>
      <sumStat type="stdev">
        345.763
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V276" name="FoodCode" files="F8" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <qstn>
        <qstnLit>
          FoodCode
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V277" name="OnUseOfDurable" files="F8" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        On Use Of Durable
      </labl>
      <qstn>
        <qstnLit>
          On Use Of Durable
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V278" name="StateGroupCode" files="F8" intrvl="discrete">
      <location StartPos="64" EndPos="65" width="2" RecSegNo="1"/>
      <labl>
        StateGroupCode
      </labl>
      <qstn>
        <qstnLit>
          STATE GROUP CODE
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V279" name="LOT" files="F8" intrvl="discrete">
      <location StartPos="66" EndPos="68" width="3" RecSegNo="1"/>
      <labl>
        LOT
      </labl>
      <qstn>
        <qstnLit>
          LOT
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V281" name="Wgt_SubSample" wgt="wgt" files="F8" dcml="2" intrvl="contin">
      <location StartPos="69" EndPos="77" width="9" RecSegNo="1"/>
      <labl>
        Sub Sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="2.5" max="595823.59"/>
      </valrng>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2.5
      </sumStat>
      <sumStat type="max">
        595823.59
      </sumStat>
      <sumStat type="mean">
        12048.117
      </sumStat>
      <sumStat type="stdev">
        14849.544
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MULT_SS/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V282" name="Wgt_Combined" wgt="wgt" files="F8" dcml="2" intrvl="contin">
      <location StartPos="78" EndPos="86" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.25" max="297911.795"/>
      </valrng>
      <sumStat type="vald">
        629160
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.25
      </sumStat>
      <sumStat type="max">
        297911.795
      </sumStat>
      <sumStat type="mean">
        6062.07
      </sumStat>
      <sumStat type="stdev">
        8013.537
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MULT_SS/100, if NSS=NSC,

and

Wgt_Combined = MULT_SS/200, if NSC>NSS]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V313" 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">
        453113
      </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="V284" name="ID" files="F9" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <qstn>
        <qstnLit>
          ID
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V285" name="RoundSchedule" files="F9" intrvl="discrete">
      <location StartPos="12" EndPos="15" width="4" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <qstn>
        <qstnLit>
          Round Schedule
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          5810
        </catValu>
        <catStat type="freq">
          453113
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V286" name="Sector" files="F9" intrvl="discrete">
      <location StartPos="16" EndPos="16" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </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">
          226757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          226356
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V287" name="State_region" files="F9" intrvl="discrete">
      <location StartPos="17" EndPos="19" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <qstn>
        <qstnLit>
          State region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </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="V310" name="State" files="F9" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          10480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          7223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          15179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          1880
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          4886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          8810
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          10656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          19198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          50254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          21120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          3829
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          2479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          4707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          10129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          7270
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          6099
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          18747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          35063
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          10337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          11827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhatisgarh
        </labl>
        <catStat type="freq">
          7327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          25793
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          15990
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          1890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          1792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
        <catStat type="freq">
          39874
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
        <catStat type="freq">
          24239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          19961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          958
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          14886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamilnadu
        </labl>
        <catStat type="freq">
          32302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
        <catStat type="freq">
          3200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Is.
        </labl>
        <catStat type="freq">
          1819
        </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="V288" name="Stratum" files="F9" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <qstn>
        <qstnLit>
          Stratum number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </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.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V289" name="SubStratum" files="F9" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <qstn>
        <qstnLit>
          Sub Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V290" name="District" files="F9" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V291" name="SubRound" files="F9" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of six months of this round  was divided  into  two sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these two sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          225826
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          227287
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V292" name="SubSample" files="F9" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </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">
          227437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          225676
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V294" name="SegmentNo" files="F9" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <qstn>
        <qstnLit>
          Segment number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V293" name="Vill_Blk_Slno" files="F9" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <qstn>
        <qstnLit>
          Serial no of village / Block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V295" name="Stage2_Stratum" files="F9" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V296" name="Hhold_no" files="F9" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Sample Household Number
      </labl>
      <qstn>
        <qstnLit>
          Sample Household Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V299" name="NSS" files="F9" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Count of sub samples
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V300" name="NSC" files="F9" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        Count of samples combined
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V301" name="MULT_SS" files="F9" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="50" width="8" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <qstn>
        <qstnLit>
          MULT_SS
        </qstnLit>
      </qstn>
      <valrng>
        <range min="250" max="59582359"/>
      </valrng>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        250
      </sumStat>
      <sumStat type="max">
        59582359
      </sumStat>
      <sumStat type="mean">
        1177104.888
      </sumStat>
      <sumStat type="stdev">
        1493179.393
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V302" name="B9_q1" files="F9" intrvl="discrete">
      <location StartPos="51" EndPos="53" width="3" RecSegNo="1"/>
      <labl>
        Block 9 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 9 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          bedstead
        </labl>
        <catStat type="freq">
          28181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          almirah, dressing table
        </labl>
        <catStat type="freq">
          14798
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          chair, stool, bench, table
        </labl>
        <catStat type="freq">
          22098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          suitcase, trunk, box, handbag and other travel goods
        </labl>
        <catStat type="freq">
          27759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          foam, rubber cushion (dunlopillo type)
        </labl>
        <catStat type="freq">
          2822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          555
        </catValu>
        <labl>
          carpet, daree &amp; other floor mattings
        </labl>
        <catStat type="freq">
          6058
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          556
        </catValu>
        <labl>
          paintings, drawings, engravings etc.
        </labl>
        <catStat type="freq">
          1601
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          557
        </catValu>
        <labl>
          other furniture &amp; fixtures (couch, sofa etc.)
        </labl>
        <catStat type="freq">
          152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          furniture &amp; fixtures: s.t. (550-557)
        </labl>
        <catStat type="freq">
          31471
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          gramophone &amp; record player
        </labl>
        <catStat type="freq">
          680
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          radio
        </labl>
        <catStat type="freq">
          10395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          television
        </labl>
        <catStat type="freq">
          14187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl>
          VCR/VCP
        </labl>
        <catStat type="freq">
          979
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          564
        </catValu>
        <labl>
          camera &amp; photographic equipment
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          565
        </catValu>
        <labl>
          tape recorder, CD player
        </labl>
        <catStat type="freq">
          6920
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          gramophone record, audio/video cassette
        </labl>
        <catStat type="freq">
          1825
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          567
        </catValu>
        <labl>
          musical instruments
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          568
        </catValu>
        <labl>
          other goods for recreation
        </labl>
        <catStat type="freq">
          130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          569
        </catValu>
        <labl>
          goods for recreation: s.t.(560-568)
        </labl>
        <catStat type="freq">
          20012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          gold ornaments
        </labl>
        <catStat type="freq">
          1272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          571
        </catValu>
        <labl>
          silver ornaments
        </labl>
        <catStat type="freq">
          1533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          572
        </catValu>
        <labl>
          jewels, pearls
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          573
        </catValu>
        <labl>
          other ornaments
        </labl>
        <catStat type="freq">
          1528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          579
        </catValu>
        <labl><![CDATA[jewellery and  ornaments: s.t. (570-573)]]></labl>
        <catStat type="freq">
          3758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          stainless steel utensils
        </labl>
        <catStat type="freq">
          8159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          other metal utensils
        </labl>
        <catStat type="freq">
          2788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          casseroles, thermos, thermoware
        </labl>
        <catStat type="freq">
          293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          other crockery &amp; utensils
        </labl>
        <catStat type="freq">
          4112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          589
        </catValu>
        <labl>
          crockery &amp; utensils: s.t. (580-583)
        </labl>
        <catStat type="freq">
          11771
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          590
        </catValu>
        <labl>
          electric fan
        </labl>
        <catStat type="freq">
          17508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          air conditioner, air cooler
        </labl>
        <catStat type="freq">
          2989
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          lantern, lamp, electric lampshade
        </labl>
        <catStat type="freq">
          332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          593
        </catValu>
        <labl>
          sewing machine
        </labl>
        <catStat type="freq">
          5313
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          594
        </catValu>
        <labl>
          washing machine
        </labl>
        <catStat type="freq">
          1957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          595
        </catValu>
        <labl>
          stove
        </labl>
        <catStat type="freq">
          15341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          596
        </catValu>
        <labl>
          pressure cooker/pressure pan
        </labl>
        <catStat type="freq">
          12646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          597
        </catValu>
        <labl>
          refrigerator
        </labl>
        <catStat type="freq">
          5188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          electric iron, heater, toaster, oven &amp; other electric heating appliances
        </labl>
        <catStat type="freq">
          401
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          other cooking/household appliances
        </labl>
        <catStat type="freq">
          863
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          cooking and household appliances: s.t. (590-600)
        </labl>
        <catStat type="freq">
          22326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          bicycle
        </labl>
        <catStat type="freq">
          14400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          motor cycle, scooter
        </labl>
        <catStat type="freq">
          4857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          motor car, jeep
        </labl>
        <catStat type="freq">
          867
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          tyres &amp; tubes
        </labl>
        <catStat type="freq">
          4799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          other transport equipment
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          personal transport equipment: s.t. (610-614)
        </labl>
        <catStat type="freq">
          17023
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          glass eyes, hearing aids &amp; orthopaedic equipment
        </labl>
        <catStat type="freq">
          166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          other medical equipment
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          629
        </catValu>
        <labl>
          therapeutic appliances : s.t. (620-621)
        </labl>
        <catStat type="freq">
          176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          clock, watch
        </labl>
        <catStat type="freq">
          24304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          other machines for household work
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          any other personal goods
        </labl>
        <catStat type="freq">
          222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl>
          other personal goods: s.t. (630-632)
        </labl>
        <catStat type="freq">
          24359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          bathroom and sanitary equipment
        </labl>
        <catStat type="freq">
          256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          plugs, switches &amp; other electrical fittings
        </labl>
        <catStat type="freq">
          867
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          residential building &amp; land (cost of repairs only)
        </labl>
        <catStat type="freq">
          11762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          other durables (specify)
        </labl>
        <catStat type="freq">
          279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          residential building, land and other durables : s.t. (640-643)
        </labl>
        <catStat type="freq">
          12543
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl><![CDATA[durable  goods : total ]]></labl>
        <catStat type="freq">
          25882
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V303" name="B9_q6" files="F9" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="58" width="5" RecSegNo="1"/>
      <labl>
        Value of First-hand purchase
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on first hand purchase of the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="88004"/>
      </valrng>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        88004
      </sumStat>
      <sumStat type="mean">
        20.14
      </sumStat>
      <sumStat type="stdev">
        382.759
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V304" name="B9_q9" files="F9" dcml="0" intrvl="contin">
      <location StartPos="59" EndPos="63" width="5" RecSegNo="1"/>
      <labl>
        Value of Second hand purchase
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on second hand purchase of the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="12328"/>
      </valrng>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12328
      </sumStat>
      <sumStat type="mean">
        0.503
      </sumStat>
      <sumStat type="stdev">
        42.906
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V305" name="B9_q10" files="F9" dcml="0" intrvl="contin">
      <location StartPos="64" EndPos="68" width="5" RecSegNo="1"/>
      <labl>
        Total Value
      </labl>
      <valrng>
        <range min="0" max="91702"/>
      </valrng>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        91702
      </sumStat>
      <sumStat type="mean">
        33.252
      </sumStat>
      <sumStat type="stdev">
        427.542
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V306" name="FoodCode" files="F9" intrvl="discrete">
      <location StartPos="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <qstn>
        <qstnLit>
          FoodCode
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V307" name="OnUseOfDurable" files="F9" intrvl="discrete">
      <location StartPos="70" EndPos="72" width="3" RecSegNo="1"/>
      <labl>
        On Use Of Durable
      </labl>
      <qstn>
        <qstnLit>
          On Use Of Durable
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        241588
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V308" name="StateGroupCode" files="F9" intrvl="discrete">
      <location StartPos="73" EndPos="74" width="2" RecSegNo="1"/>
      <labl>
        StateGroupCode
      </labl>
      <qstn>
        <qstnLit>
          STATE GROUP CODE
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V309" name="LOT" files="F9" intrvl="discrete">
      <location StartPos="75" EndPos="77" width="3" RecSegNo="1"/>
      <labl>
        LOT
      </labl>
      <qstn>
        <qstnLit>
          LOT
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V311" name="Wgt_SubSample" wgt="wgt" files="F9" dcml="2" intrvl="contin">
      <location StartPos="78" EndPos="86" width="9" RecSegNo="1"/>
      <labl>
        Sub Sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="2.5" max="595823.59"/>
      </valrng>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2.5
      </sumStat>
      <sumStat type="max">
        595823.59
      </sumStat>
      <sumStat type="mean">
        11771.049
      </sumStat>
      <sumStat type="stdev">
        14931.794
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MULT_SS/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V312" name="Wgt_Combined" wgt="wgt" files="F9" dcml="2" intrvl="contin">
      <location StartPos="87" EndPos="95" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.25" max="297911.795"/>
      </valrng>
      <sumStat type="vald">
        453113
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.25
      </sumStat>
      <sumStat type="max">
        297911.795
      </sumStat>
      <sumStat type="mean">
        5916.009
      </sumStat>
      <sumStat type="stdev">
        7935.867
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MULT_SS/100, if NSS=NSC,

and

Wgt_Combined = MULT_SS/200, if NSC>NSS]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
