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      <titlStmt>
        <titl>NSSO_56_Schedule_1_Household Consumer Expenditure</titl>
        <IDNo>DDI-IND-MOSPI-NSSO-56Rnd-Sch1-July2000-June2001</IDNo>
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  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>Household Consumer Expenditure, NSS 56th Round, Schedule 1, July 2000 - June 2001</titl>
        <altTitl>
          NSS 56th Round
        </altTitl>
        <IDNo>DDI-IND-MOSPI-NSSO-56Rnd-Sch1-July2000-June2001</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>
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        </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
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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>
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          DDG, Computer Centre
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      <serStmt>
        <serName>
          Socio-Economic/Monitoring Survey [hh/sems]
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        <serInfo>
          Since its inception, the National Sample Survey (NSS) had been collecting data on consumer expenditure in every round up to the 29th round (1972-73). After the 26th round of the survey, the Governing Council of National Sample Survey Organisation (NSSO) decided to undertake the surveys on consumer expenditure and employment and unemployment together once in every five years. Accordingly, programme of quinquennial surveys was conducted in the 27th, 32nd, 38th, 43rd, 50th and 55th rounds since 1972-73. Planners and research workers also felt the need for an annual series on consumer expenditure. The Governing council, therefore, decided that an annual survey on consumer expenditure would be undertaken on a thin sample basis in the intervening rounds between successive quinquennial rounds. The annual series started from the 42nd round (July 1986-June 1987). The twelfth annual survey was conducted in the 56th round during July 2000 - June 2001.
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2012-11-11"></version>
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    </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.</abstract>
      <sumDscr>
        <collDate date="2000-07-01" event="start" cycle="Sub round 1"/>
        <collDate date="2000-09-30" event="end" cycle="Sub round 1"/>
        <collDate date="2000-10-01" event="start" cycle="Sub round 2"/>
        <collDate date="2000-12-31" event="end" cycle="Sub round 2"/>
        <collDate date="2001-01-01" event="start" cycle="Sub round 3"/>
        <collDate date="2001-03-31" event="end" cycle="Sub round 3"/>
        <collDate date="2001-04-01" event="start" cycle="Sub round 4"/>
        <collDate date="2001-06-30" event="end" cycle="Sub round 4"/>
        <nation abbr="IND">India</nation>
        <geogCover>The survey covered the whole of the Indian Union except (i) Leh 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>
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          Sample survey data [ssd]
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      <notes><![CDATA[Schedule 1.0 of the 56th  NSS round consists of the following blocks:

Block 0:  Descriptive identification of sample household: This block is meant for recording descriptive identification particulars of a sample household. 

Block 1:  Identification of sample household

Block 2:  Particulars of field operation:  The identity of the Investigator, Assistant Superintendent and Superintendent associated, date of survey/inspection/scrutiny of schedules, despatch, etc., has been recorded in this block against the appropriate items in the relevant columns.

Block 3: Household characteristics:  
Characteristics which are mainly intended to be used to classify the households for tabulation has been recorded in this block.

Block 4: Demographic and other particulars of household members: All members of the sample household will be listed in this block. Demographic particulars (viz., relation to head, sex, age, marital status and general education), working status, type of income received and number of meals taken will be recorded for each member using one line for one member.
Block 5:   Consumption of food, pan, tobacco and intoxicants. Information on an item has been recorded only if it is consumed.
Block 5.1: Consumption of fuel and light. Information on an item has been recorded only if it is consumed.
Block 6:   Consumption of clothing, bedding, etc. Value of an item has been recorded only if it is brought into first-use during the reference period.
Block 7:   Consumption of footwear. Value of an item has been recorded only if it is brought into first-use during the reference period.
Block 8.1: Expenditure on education & medical (institutional) goods and services. Expenditure has been recorded if it is incurred on any item during the reference period.
Block 8.2: Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes. Expenditure has been recorded if it is incurred on any item during the reference period.
Block 9:   Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use. Expenditure has been recorded if it is incurred on any item during the reference period.
Block 10:  Perception of household regarding sufficiency of food
Block 11: Summary of consumer expenditure: This block is meant to derive the value of household per capita consumption expenditure for a period of 30 days. Most entries in this block are transfer entries from blocks 5 to 9.]]></notes>
      <subject>
        <keyword>Household Consumer Expenditure</keyword>
        <keyword>NSS 56th Round</keyword>
        <keyword>Schedule 1</keyword>
        <keyword>July 2000 - June 2001</keyword>
      </subject>
    </stdyInfo>
    <method>
      <dataColl>
        <sampProc>An outline of sampling design:
A stratified sampling design has been adopted for selection of the sample first-stage units (FSU's). The FSU's are villages (panchayat wards for Kerala) for rural areas and Urban Frame Survey (UFS) blocks for urban areas. The Ultimate stage units (USU's) are households which are selected by the method of circular systematic sampling from the corresponding frame in the FSU.  Large FSU's are subdivided into hamlet groups (rural)/ sub-blocks (urban), that are grouped into two segments, and USU's are selected independently from each of these segments.    

Sampling Frame: 
List of villages (panchayat wards for Kerala) as per 1991Census and latest lists of UFS blocks are respectively used for selection of rural and urban sample FSU's. For selection of sample villages from the State of Jammu &amp; Kashmir, list of villages as per 1981Census has been used as the sampling frame. 

Sample size (FSU's):  
The total sample size for Central Sample was fixed at 15032. Total State sample size was fixed at 17096 taking care of prevalent matching pattern for almost all states. Sample size for the whole round for each State/UT x Sector (i.e. rural/ urban) are allocated equally among the 4 sub-rounds. Sample FSU's for each sub-round are selected afresh in the form of 2 independent sub-samples. 

Selection of FSU's: 
For each sub-round, sample FSU's from each stratum are selected in the form of 2 independent sub-samples by following circular systematic sampling with (a) probability proportional to population for all rural strata other than stratum 1, and (b) equal probability for rural stratum 1 as well as all urban strata.</sampProc>
        <deviat>
          There was no deviation from the original sampling design.
        </deviat>
        <collMode>Face-to-face [f2f]</collMode>
        <resInstru><![CDATA[Schedule 1.0 of the 56th  NSS round consists of the following blocks:

Block 0:  Descriptive identification of sample household: This block is meant for recording descriptive identification particulars of a sample household. 

Block 1:  Identification of sample household

Block 2:  Particulars of field operation:  The identity of the Investigator, Assistant Superintendent and Superintendent associated, date of survey/inspection/scrutiny of schedules, despatch, etc., has been recorded in this block against the appropriate items in the relevant columns.

Block 3: Household characteristics:  
Characteristics which are mainly intended to be used to classify the households for tabulation has been recorded in this block.

Block 4: Demographic and other particulars of household members: All members of the sample household will be listed in this block. Demographic particulars (viz., relation to head, sex, age, marital status and general education), working status, type of income received and number of meals taken will be recorded for each member using one line for one member.
Block 5:   Consumption of food, pan, tobacco and intoxicants. Information on an item has been recorded only if it is consumed.
Block 5.1: Consumption of fuel and light. Information on an item has been recorded only if it is consumed.
Block 6:   Consumption of clothing, bedding, etc. Value of an item has been recorded only if it is brought into first-use during the reference period.
Block 7:   Consumption of footwear. Value of an item has been recorded only if it is brought into first-use during the reference period.
Block 8.1: Expenditure on education & medical (institutional) goods and services. Expenditure has been recorded if it is incurred on any item during the reference period.
Block 8.2: Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes. Expenditure has been recorded if it is incurred on any item during the reference period.
Block 9:   Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use. Expenditure has been recorded if it is incurred on any item during the reference period.
Block 10:  Perception of household regarding sufficiency of food
Block 11: Summary of consumer expenditure: This block is meant to derive the value of household per capita consumption expenditure for a period of 30 days. Most entries in this block are transfer entries from blocks 5 to 9.]]></resInstru>
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          Computer Centre
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        <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.
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        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          3714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          1573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          1712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          1926
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          3038
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          3189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          4424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          7344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          1086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          856
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          565
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          2887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          3199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          3886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          291
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          6002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          1458
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          8385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          5464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          2662
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chattisgarh
        </labl>
        <catStat type="freq">
          1111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          716
        </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="V6" name="Stratum" files="F1" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        81500
      </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="V7" name="SubStratum" files="F1" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V8" name="District" files="F1" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V9" name="SubRound" files="F1" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          20339
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          20349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          20471
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          20341
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="SS_Revised" files="F1" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        SS Revised
      </labl>
      <sumStat type="vald">
        81500
      </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">
          28628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          52872
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V11" name="Vill_Blk_Slno" files="F1" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V12" name="SegmentNo" files="F1" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          65502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          15998
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V13" name="Hhold_no" files="F1" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V14" name="Survey_Code" files="F1" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <qstn>
        <ivuInstr><![CDATA[Whether the originally selected sample household has been surveyed or a substituted household has been surveyed will be indicated against this item by recording '1' if 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 can be surveyed i.e., if the sample household is a casualty, code '3' will be recorded.  In such cases only blocks 0, 1, 2, 12 and 13 will be filled-in and on the top of the front page of the schedule the word 'CASUALTY' will be written and underlined.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        81434
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The item records whether the originally selected household or a substitute house­hold has been surveyed or no household could be surveyed.  The entries have been made in terms of codes.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          original
        </labl>
        <catStat type="freq">
          77437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          substitute
        </labl>
        <catStat type="freq">
          3979
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          casualty
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V15" name="Substn_Code" files="F1" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Substitution Code
      </labl>
      <qstn>
        <ivuInstr>
          For an originally selected sample household which could not be surveyed, irrespective of whether a substituted household could be surveyed or not, the reason for not surveying the original household will be recorded against item 18 in terms of the specified codes.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        4029
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        If the originally selected household could not be sur­veyed, irrespective of whether a substituted household could be surveyed or not, the reason for the one originally selected becoming a casualty has been recorded against this item in terms of codes.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          informant busy
        </labl>
        <catStat type="freq">
          241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          members away from home
        </labl>
        <catStat type="freq">
          3077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          informant non-cooperative
        </labl>
        <catStat type="freq">
          452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          249
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V16" name="NSS" files="F1" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V17" name="NSC" files="F1" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V18" name="MULT_SS" files="F1" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="51" width="9" RecSegNo="1"/>
      <labl>
        MULT_SS
      </labl>
      <valrng>
        <range min="100" max="136235700"/>
      </valrng>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        136235700
      </sumStat>
      <sumStat type="mean">
        459891.068
      </sumStat>
      <sumStat type="stdev">
        1900570.575
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V303" name="B3_q1" files="F1" dcml="0" intrvl="contin">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        Household Size
      </labl>
      <qstn>
        <qstnLit>
          How many members are there in the household?
        </qstnLit>
        <ivuInstr>
          The size of the sample household i.e., the total number of persons normally residing together (i.e., under the same roof) and taking food from the same kitchen (including temporary 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">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A group of persons normally living together and taking food from a common kitchen constitutes a household. The word "normally" means that temporary visitors are excluded but temporary stay-aways are included. Thus a son or daughter residing in a hostel for studies is excluded from the household of his/her parents, but a resident employee or resident domestic servant or paying guest (but not just a tenant in the house) is included in the employer/host's household. "Living together" is usually given more importance than "sharing food from a common kitchen" in drawing the boundaries of a household in case the two criteria are in conflict; however, in the special case of a person taking food with his family but sleeping elsewhere (say in a shop or a different house) due to space shortage, the household formed by such a person's family members is taken to include the person also. Each inmate of a mess, hotel, boarding and lodging house, hostel, etc. is considered as a single-member household except that a family living in a hotel (say) is considered as one household only; the same applies to residential staff of such establishments.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V20" name="B3_q17" files="F1" dcml="2" intrvl="contin">
      <location StartPos="54" EndPos="61" width="8" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.5" max="66761.88"/>
      </valrng>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.5
      </sumStat>
      <sumStat type="max">
        66761.88
      </sumStat>
      <sumStat type="mean">
        843.644
      </sumStat>
      <sumStat type="stdev">
        823.077
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V21" name="MPCE_CODE" files="F1" intrvl="discrete">
      <location StartPos="62" EndPos="63" width="2" RecSegNo="1"/>
      <labl>
        MPCE_CODE
      </labl>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V22" name="CMPCE_CODE" files="F1" intrvl="discrete">
      <location StartPos="64" EndPos="65" width="2" RecSegNo="1"/>
      <labl>
        CMPCE_CODE
      </labl>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V23" name="B3_q4" files="F1" intrvl="discrete">
      <location StartPos="66" EndPos="66" 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 economic activities will be considered; but the incomes of servants and paying guests will not be taken into account.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        81347
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V53" name="HH_Type" files="F1" intrvl="discrete">
      <location StartPos="67" EndPos="68" width="2" RecSegNo="1"/>
      <labl>
        Sector wise household type
      </labl>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          self-employed in non-agriculture - rural
        </labl>
        <catStat type="freq">
          5886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          agricultural labour - rural
        </labl>
        <catStat type="freq">
          6888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[other labour  - rural ]]></labl>
        <catStat type="freq">
          3484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          self-employed in agriculture - rural
        </labl>
        <catStat type="freq">
          9858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Others - rural
        </labl>
        <catStat type="freq">
          4385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          self-employed - urban
        </labl>
        <catStat type="freq">
          20461
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          regular wage/salary earning - urban
        </labl>
        <catStat type="freq">
          19624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          casual labour - urban
        </labl>
        <catStat type="freq">
          6353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Others - urban
        </labl>
        <catStat type="freq">
          4408
        </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="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        Religion
      </labl>
      <qstn>
        <qstnLit>
          Which religion does the household belong to?
        </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">
        81489
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Hinduism
        </labl>
        <catStat type="freq">
          62076
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Islam
        </labl>
        <catStat type="freq">
          12087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Christianity
        </labl>
        <catStat type="freq">
          4160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sikhism
        </labl>
        <catStat type="freq">
          1651
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Jainism
        </labl>
        <catStat type="freq">
          476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Buddhism
        </labl>
        <catStat type="freq">
          519
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Zoroastrianism
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          499
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V25" name="B3_q6" files="F1" intrvl="discrete">
      <location StartPos="70" EndPos="70" width="1" RecSegNo="1"/>
      <labl>
        Social Group
      </labl>
      <qstn>
        <qstnLit>
          Which social group does the household belong to?
        </qstnLit>
        <ivuInstr><![CDATA[Whether or not the household belongs to scheduled tribe, scheduled caste or other backward class will be indicated against this item in terms of the specified codes which are:
           
                    scheduled tribe - 1,   scheduled caste - 2,   other backward class - 3,  others - 9.

Those who do not come under any one of the first three social groups will be assigned code 9 meant to cover all other categories. In case different members belong to different social groups, the group to which the head of the household belongs will be considered as the 'social group' of the household.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        81462
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Scheduled Tribe
        </labl>
        <catStat type="freq">
          6991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Scheduled Caste
        </labl>
        <catStat type="freq">
          11789
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other Backward Class
        </labl>
        <catStat type="freq">
          26262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          36420
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V26" name="B3_q7" files="F1" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        Land possessed code
      </labl>
      <qstn>
        <qstnLit>
          How much land does the household possess?
        </qstnLit>
        <ivuInstr><![CDATA[The area of land possessed will include land 'owned', 'leased in' and (encroached) 'land neither owned nor leased in' by the household but exclude land 'leased out'.  The total land area possessed by the household as on the date of survey will be worked out and recorded against this item in code.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        81141
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          less than 0.01 hectares
        </labl>
        <catStat type="freq">
          45593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          0.01 to 0.20 hectares
        </labl>
        <catStat type="freq">
          16124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          0.21 to 0.40 hectares
        </labl>
        <catStat type="freq">
          4854
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          0.41 to 1.00 hectares
        </labl>
        <catStat type="freq">
          5818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[1.01 to 2.00 hectares   ]]></labl>
        <catStat type="freq">
          4465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[2.01 to 3.00 hectares  ]]></labl>
        <catStat type="freq">
          1924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          3.01 to 4.00 hectares
        </labl>
        <catStat type="freq">
          945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          4.01 to 6.00 hectares
        </labl>
        <catStat type="freq">
          750
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[6.01 to 8.00 hectares     ]]></labl>
        <catStat type="freq">
          271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          more than 8.00 hectares
        </labl>
        <catStat type="freq">
          397
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V27" name="B3_q8" files="F1" intrvl="discrete">
      <location StartPos="73" EndPos="73" width="1" RecSegNo="1"/>
      <labl>
        Dwelling unit code
      </labl>
      <qstn>
        <qstnLit>
          Do you own the dwelling unit? Or is it hired or otherwise occupied?
        </qstnLit>
        <ivuInstr><![CDATA[This item of the block refers only to the dwelling unit or the actual residence of the sample household.  The dwelling unit may be the entire structure for one household or may be only a part of it.  Accordingly, the investigator will ask the informant if it is owned, hired or otherwise occupied.  If the dwelling unit is owned by the occupant, code 1 will be recorded against item 8.  If it is taken on rent, code 2 will be entered and if it is occupied otherwise, code 9 will apply.  However, if any household is found living under trees, bridges, in pipes, etc. it will not be treated as living in dwelling unit.  For such households code 3 will be recorded and in such cases a cross 'x' mark will be put against the items 9, 10 and 11 of the block. It may be noted that a dwelling unit constructed on a plot of land which is taken under long-term lease, usually 30 years or more, will be considered as being held under owner-like possession.  Similarly, a dwelling unit itself possessed by a household under a long-term lease may be treated as under owner-like possession and code 1 will be applicable in such cases also.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        81479
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[This item refers only to the dwelling unit or the actual residence of the sample household.  The dwelling unit may be an entire structure or may be only a part of a structure.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          59672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Hired
        </labl>
        <catStat type="freq">
          16784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No dwelling unit
        </labl>
        <catStat type="freq">
          117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          4906
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V28" name="B3_q9" files="F1" intrvl="discrete">
      <location StartPos="74" EndPos="74" width="1" RecSegNo="1"/>
      <labl>
        Type of dwelling code
      </labl>
      <qstn>
        <qstnLit>
          What is the type of dwelling of the household? Is it an independent house or a flat or any other type of dwelling?
        </qstnLit>
        <ivuInstr><![CDATA[A  dwelling unit may be in a chawl or bustee, or an independent house or a flat.  Code for each type of dwelling is given in the schedule and the applicable code will be entered against this item.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        81314
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Chawl / bustee
        </labl>
        <catStat type="freq">
          9809
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Independent house
        </labl>
        <catStat type="freq">
          61577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Flat
        </labl>
        <catStat type="freq">
          9928
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V29" name="B3_q10" files="F1" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Type of structure
      </labl>
      <qstn>
        <qstnLit>
          What is the type of structure of the dwelling?
        </qstnLit>
        <ivuInstr>
          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">
        81314
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Katcha
        </labl>
        <catStat type="freq">
          13439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Semi pucca
        </labl>
        <catStat type="freq">
          19297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Pucca
        </labl>
        <catStat type="freq">
          48578
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V30" name="B3_q11" files="F1" dcml="0" intrvl="contin">
      <location StartPos="76" EndPos="80" width="5" RecSegNo="1"/>
      <labl>
        Covered area (sq. metre)
      </labl>
      <qstn>
        <qstnLit>
          How much is the covered area of the dwelling?
        </qstnLit>
        <ivuInstr><![CDATA[This will be the sum of the floor areas of all the rooms, kitchen, etc., and verandah of the building.  The area will be recorded (to nearest integer) in square metres.  The verandah will mean a roofed space adjacent to living/other rooms and not walled from all sides.  In other words, at least one side of such space is either open or walled only to some height or protected by grille, net, etc.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="92136"/>
      </valrng>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        92136
      </sumStat>
      <sumStat type="mean">
        45.19
      </sumStat>
      <sumStat type="stdev">
        465.757
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="B3_q12" files="F1" intrvl="discrete">
      <location StartPos="81" EndPos="82" 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[Against these two items, the code corresponding to the primary source of energy that is used by the household for cooking and lighting during last 30 days preceding the date of survey, will be recorded.  If more than one type of energy is utilised, the primary or principal one on the basis of its use will have to be identified and the corresponding code will be noted in the appropriate box.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        81434
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl><![CDATA[  coke, coal ]]></labl>
        <catStat type="freq">
          2549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[   firewood and chips]]></labl>
        <catStat type="freq">
          35186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[  LPG]]></labl>
        <catStat type="freq">
          26461
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[  gobar gas]]></labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[  dung cake]]></labl>
        <catStat type="freq">
          3276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          charcoal
        </labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[  kerosene ]]></labl>
        <catStat type="freq">
          9810
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          electricity
        </labl>
        <catStat type="freq">
          207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[  others]]></labl>
        <catStat type="freq">
          1236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No cooking arrangement
        </labl>
        <catStat type="freq">
          2429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V32" name="B3_q13" files="F1" intrvl="discrete">
      <location StartPos="83" EndPos="83" width="1" RecSegNo="1"/>
      <labl>
        Lighting code
      </labl>
      <qstn>
        <qstnLit>
          What is the primary source of energy that is being used by the household for lighting?
        </qstnLit>
        <ivuInstr><![CDATA[Against these two items, the code corresponding to the primary source of energy that is used by the household for cooking and lighting during last 30 days preceding the date of survey, will be recorded.  If more than one type of energy is utilised, the primary or principal one on the basis of its use will have to be identified and the corresponding code will be noted in the appropriate box.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        81427
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          kerosene
        </labl>
        <catStat type="freq">
          17690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          other oil
        </labl>
        <catStat type="freq">
          126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          gas
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          candle
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          electricity
        </labl>
        <catStat type="freq">
          63010
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          No lighting arrangement
        </labl>
        <catStat type="freq">
          375
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V33" name="B3_q14" files="F1" intrvl="discrete">
      <location StartPos="84" EndPos="84" width="1" RecSegNo="1"/>
      <labl>
        Whether Meals outside?
      </labl>
      <qstn>
        <ivuInstr>
          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">
        81478
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          20306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          61172
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V34" name="B3_q15" files="F1" intrvl="discrete">
      <location StartPos="85" EndPos="85" width="1" RecSegNo="1"/>
      <labl>
        Whether Ceremony?
      </labl>
      <qstn>
        <qstnLit>
          Did the household perform any ceremony during the last 30 days?
        </qstnLit>
        <ivuInstr>
          Code 1 will be entered in the box space provided against this item if the household had performed at least one ceremony during the last 30 days preceding the date of enquiry, and code 2 will be entered if the household performed no such ceremony.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        81482
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Ceremonies are performed to solemnise 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 yea, 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.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          1754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          79728
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V35" name="B3_q16" files="F1" intrvl="discrete">
      <location StartPos="86" EndPos="86" width="1" RecSegNo="1"/>
      <labl>
        Whether Ration?
      </labl>
      <qstn>
        <ivuInstr><![CDATA[4.3.25	The answer against this question will be recorded in codes.  The codes are yes-1, no-2.  Purchase of foodgrains by workers from shops run by their employer at concessional or subsidised rates (this is prevalent, for example, in tea garden areas) will not be considered as purchase from ration/fair price shop.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        81477
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          19933
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          61544
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V36" name="B10_q1" files="F1" intrvl="discrete">
      <location StartPos="87" EndPos="87" width="1" RecSegNo="1"/>
      <labl>
        Whether Enough food?
      </labl>
      <qstn>
        <qstnLit>
          Whether household usually eats enough food?
        </qstnLit>
        <ivuInstr><![CDATA[This block will be filled after completion of the enquiry on all the preceding blocks. The expression in item 1 - 'getting enough food everyday' - as used in common parlance, conveys that the concerned person gets, by and large, sufficient food to eat. This question is asked in order to know the perception of the household regarding sufficiency of food.  While putting this question to the informant, it is thus presumed that the informant has a clear understanding of its meaning. There are equivalent phrases conveying the same meaning in regional languages. It is, therefore, important to put the proper question in the local language and record the answer given by the informant in the appropriate code.

Care should be taken to see that the informant is not offended by this question. The question should, in fact, not be asked to those whose reported consumption would obviously indicate that they get sufficient food to eat. In item 1, if the members of the household are reported as getting enough food everyday throughout the year, the code to be entered in the box space of this block is 1.  If adequate food is available in only a few months of the year code 2 will be noted. Code 3 will indicate that the household does not usually get enough food everyday for all its members. Here the reference period is last 12 calendar months preceding the date of enquiry.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        81351
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes: throughout the year
        </labl>
        <catStat type="freq">
          80154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          some months of the year
        </labl>
        <catStat type="freq">
          788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          409
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V37" name="B10_q2_1" files="F1" intrvl="discrete">
      <location StartPos="88" EndPos="89" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          In which months of the year the household does not get enough food?
        </qstnLit>
        <ivuInstr>
          If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food everyday will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food everyday in the months of January and March during the reference period. The entries to be made are 01 &amp; 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        58
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          58
        </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="90" EndPos="91" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          In which months of the year the household does not get enough food?
        </qstnLit>
        <ivuInstr>
          If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food everyday will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food everyday in the months of January and March during the reference period. The entries to be made are 01 &amp; 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        63
      </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">
          63
        </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="92" EndPos="93" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          In which months of the year the household does not get enough food?
        </qstnLit>
        <ivuInstr>
          If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food everyday will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food everyday in the months of January and March during the reference period. The entries to be made are 01 &amp; 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        53
      </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">
          53
        </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="94" EndPos="95" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          In which months of the year the household does not get enough food?
        </qstnLit>
        <ivuInstr>
          If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food everyday will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food everyday in the months of January and March during the reference period. The entries to be made are 01 &amp; 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        86
      </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">
          86
        </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="96" EndPos="97" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          In which months of the year the household does not get enough food?
        </qstnLit>
        <ivuInstr>
          If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food everyday will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food everyday in the months of January and March during the reference period. The entries to be made are 01 &amp; 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        168
      </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">
          168
        </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="98" EndPos="99" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          In which months of the year the household does not get enough food?
        </qstnLit>
        <ivuInstr>
          If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food everyday will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food everyday in the months of January and March during the reference period. The entries to be made are 01 &amp; 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        293
      </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">
          293
        </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="100" EndPos="101" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          In which months of the year the household does not get enough food?
        </qstnLit>
        <ivuInstr>
          If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food everyday will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food everyday in the months of January and March during the reference period. The entries to be made are 01 &amp; 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        378
      </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">
          378
        </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="102" EndPos="103" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          In which months of the year the household does not get enough food?
        </qstnLit>
        <ivuInstr>
          If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food everyday will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food everyday in the months of January and March during the reference period. The entries to be made are 01 &amp; 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        398
      </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">
          398
        </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="104" EndPos="105" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          In which months of the year the household does not get enough food?
        </qstnLit>
        <ivuInstr>
          If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food everyday will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food everyday in the months of January and March during the reference period. The entries to be made are 01 &amp; 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        336
      </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">
          336
        </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="106" EndPos="107" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          In which months of the year the household does not get enough food?
        </qstnLit>
        <ivuInstr>
          If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food everyday will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food everyday in the months of January and March during the reference period. The entries to be made are 01 &amp; 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        191
      </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">
          191
        </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="108" EndPos="109" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          In which months of the year the household does not get enough food?
        </qstnLit>
        <ivuInstr>
          If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food everyday will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food everyday in the months of January and March during the reference period. The entries to be made are 01 &amp; 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        85
      </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">
          85
        </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="110" EndPos="111" width="2" RecSegNo="1"/>
      <labl>
        Month code when not enough food
      </labl>
      <qstn>
        <qstnLit>
          In which months of the year the household does not get enough food?
        </qstnLit>
        <ivuInstr>
          If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food everyday will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food everyday in the months of January and March during the reference period. The entries to be made are 01 &amp; 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        35
      </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">
          35
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V49" name="TotalNoMonthsNotEnoughFood" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="112" EndPos="113" width="2" RecSegNo="1"/>
      <labl>
        Total number of months when not enough food
      </labl>
      <valrng>
        <range min="0" max="11"/>
      </valrng>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          80712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          230
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V50" name="B10_q3" files="F1" intrvl="discrete">
      <location StartPos="114" EndPos="114" width="1" RecSegNo="1"/>
      <labl>
        Whether Question (Whether Enough food) actually asked?
      </labl>
      <qstn>
        <qstnLit>
          Whether the question (Whether enough food) actually asked?
        </qstnLit>
        <ivuInstr><![CDATA[If for the purpose of making an entry in item 1, the investigator has actually put the relevant question to the informant and got his answer, then code 1 will be entered in item 3.  Otherwise, i.e., if he has inferred the answer to item 1 from the schedule entries or otherwise without actually asking the informant, code 2 will be recorded against item 3.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        81278
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          39736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          41542
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V51" name="TimeToCanvass" files="F1" intrvl="discrete">
      <location StartPos="115" EndPos="117" width="3" RecSegNo="1"/>
      <labl>
        Time to canvass (mins.)
      </labl>
      <sumStat type="vald">
        81164
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V55" name="Wgt_SubSample" wgt="wgt" files="F1" dcml="2" intrvl="contin">
      <location StartPos="118" EndPos="127" width="10" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1362357"/>
      </valrng>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1362357
      </sumStat>
      <sumStat type="mean">
        4598.911
      </sumStat>
      <sumStat type="stdev">
        19005.706
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V56" name="Wgt_Combined" wgt="wgt" files="F1" dcml="2" intrvl="contin">
      <location StartPos="128" EndPos="136" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.5" max="681178.5"/>
      </valrng>
      <sumStat type="vald">
        81500
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        681178.5
      </sumStat>
      <sumStat type="mean">
        2300.54
      </sumStat>
      <sumStat type="stdev">
        9503.314
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

if  NSC>NSS

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V305" name="HHID" files="F2" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to Household
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V97" name="Person_key" files="F2" intrvl="discrete">
      <location StartPos="9" EndPos="20" width="12" RecSegNo="1"/>
      <labl>
        Key to identify a person in a household
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a person within a household by combining HHID (key to identify a household) and serial number of members.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V57" name="ID" files="F2" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V58" name="RoundSchedule" files="F2" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          561
        </catValu>
        <catStat type="freq">
          388836
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V59" name="SS_Original" files="F2" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        SS_Original
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V60" name="Sector" files="F2" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        388836
      </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">
          151706
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          237130
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V61" name="State_region" files="F2" intrvl="discrete">
      <location StartPos="28" EndPos="30" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        388836
      </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="V98" name="State" files="F2" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          23634
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          2924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          12607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          23549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          1371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          17325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          7740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          7429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          10175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          14287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          14450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          22893
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          33325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          5624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          3395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          4258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          2798
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          13405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          14869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          20385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          1336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          23610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          6394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          47690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          23751
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          1709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          3281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          718
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          13263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chattisgarh
        </labl>
        <catStat type="freq">
          5425
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          3466
        </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="V62" name="Stratum" files="F2" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        388836
      </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="V63" name="SubStratum" files="F2" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V64" name="District" files="F2" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V65" name="SubRound" files="F2" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          96817
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          97898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          96805
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          97316
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V66" name="SS_Revised" files="F2" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        SS Revised
      </labl>
      <sumStat type="vald">
        388836
      </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">
          136595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          252241
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V67" name="Vill_Blk_Slno" files="F2" intrvl="discrete">
      <location StartPos="40" EndPos="44" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V68" name="SegmentNo" files="F2" intrvl="discrete">
      <location StartPos="45" EndPos="45" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          312659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          76177
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V69" name="Hhold_no" files="F2" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V70" name="Survey_Code" files="F2" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <sumStat type="vald">
        388515
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          370511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          17927
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V71" name="Substn_Code" files="F2" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        Substitution Code
      </labl>
      <sumStat type="vald">
        18145
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          13516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1124
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V72" name="NSS" files="F2" intrvl="discrete">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V73" name="NSC" files="F2" intrvl="discrete">
      <location StartPos="52" EndPos="54" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V74" name="MULT_SS" files="F2" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="63" width="9" RecSegNo="1"/>
      <labl>
        MULT_SS
      </labl>
      <valrng>
        <range min="100" max="136235700"/>
      </valrng>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        136235700
      </sumStat>
      <sumStat type="mean">
        473886.694
      </sumStat>
      <sumStat type="stdev">
        1971905.994
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V75" name="MPCE_CODE" files="F2" intrvl="discrete">
      <location StartPos="64" EndPos="65" width="2" RecSegNo="1"/>
      <labl>
        MPCE_CODE
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V76" name="CMPCE_CODE" files="F2" intrvl="discrete">
      <location StartPos="66" EndPos="67" width="2" RecSegNo="1"/>
      <labl>
        CMPCE_CODE
      </labl>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V77" name="B4_q1" files="F2" intrvl="discrete">
      <location StartPos="68" EndPos="70" width="3" RecSegNo="1"/>
      <labl>
        Serial No. of members
      </labl>
      <qstn>
        <ivuInstr>
          All the members of the sample household will be listed in block 4 using a continuous serial number in column (1). In the list, the head of the household will appear first followed by head's spouse, the first son, first son's wife and their children, second son, second son's wife and their children &amp; so on. After the sons are enumerated, the daughters will be listed followed by other relations, dependants, servants, etc.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V78" name="B4_q3" files="F2" intrvl="discrete">
      <location StartPos="71" EndPos="71" width="1" RecSegNo="1"/>
      <labl>
        Relation to Head Code
      </labl>
      <qstn>
        <qstnLit>
          What is your relation to head of the household?
        </qstnLit>
        <ivuInstr>
          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.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        388191
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Self
        </labl>
        <catStat type="freq">
          81500
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse of head
        </labl>
        <catStat type="freq">
          63677
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married child
        </labl>
        <catStat type="freq">
          17085
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Spouse of married child
        </labl>
        <catStat type="freq">
          16083
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unmarried child
        </labl>
        <catStat type="freq">
          152319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchild
        </labl>
        <catStat type="freq">
          27137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Father/mother/father-in-law/mother-in-law
        </labl>
        <catStat type="freq">
          11150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Brother/sister/brother-in-law/sister-in-law/other relatives
        </labl>
        <catStat type="freq">
          17704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Servant/employee/or non-relatives
        </labl>
        <catStat type="freq">
          1536
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V79" name="B4_q4" files="F2" intrvl="discrete">
      <location StartPos="72" EndPos="72" width="1" RecSegNo="1"/>
      <labl>
        Sex Code
      </labl>
      <qstn>
        <qstnLit>
          Sex of the member
        </qstnLit>
        <ivuInstr>
          For each and every member of the household, sex in terms of the code (male-1, female-2) will be recorded in this column. For eunuch, code '1' will be recorded.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          202290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          186546
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V80" name="B4_q5" files="F2" dcml="0" intrvl="contin">
      <location StartPos="73" EndPos="74" width="2" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          Age of the member
        </qstnLit>
        <ivuInstr><![CDATA[The age in completed years of all the members listed will be ascertained and recorded in column (5).  For infants below one year of age at the time of listing,  '0' will be entered in column (5). Similarly, for persons of age 99 years or more, 99 will be entered in this column.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        388756
      </sumStat>
      <sumStat type="invd">
        80
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        26.284
      </sumStat>
      <sumStat type="stdev">
        18.678
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V81" name="B4_q6" files="F2" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Marital Status Code
      </labl>
      <qstn>
        <qstnLit>
          Marital status of the member
        </qstnLit>
        <ivuInstr>
          The marital status of each member will be recorded in terms of the specified code in this column.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        388763
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          196747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Currently married
        </labl>
        <catStat type="freq">
          172304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          18178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/separated
        </labl>
        <catStat type="freq">
          1534
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V82" name="B4_q7" files="F2" intrvl="discrete">
      <location StartPos="76" EndPos="77" width="2" RecSegNo="1"/>
      <labl>
        General Education Code
      </labl>
      <qstn>
        <qstnLit>
          Education of the member
        </qstnLit>
        <ivuInstr><![CDATA[Information regarding the level of general education attained by the members of the household listed will be recorded in column (7) in terms of the specified code. For the purpose of making entries in this column, only the course successfully completed will be considered. For instance, for a person who has studied up to say, first year B.A., his/her educational attainment will be considered as higher secondary (code 9).  For a person who has studied up to 12th standard but has not appeared for the final examination or has failed, his/her educational attainment will be considered under 'secondary' (code 8).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Not literate
        </labl>
        <catStat type="freq">
          131277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Literate without formal schooling
        </labl>
        <catStat type="freq">
          4359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Literate but below primary
        </labl>
        <catStat type="freq">
          60290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          53129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Middle
        </labl>
        <catStat type="freq">
          58513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          36425
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Higher secondary
        </labl>
        <catStat type="freq">
          20339
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Diploma / certificate course
        </labl>
        <catStat type="freq">
          2912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Graduate &amp; above
        </labl>
        <catStat type="freq">
          21318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          nr
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          274
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V83" name="B4_q8" files="F2" intrvl="discrete">
      <location StartPos="78" EndPos="79" width="2" RecSegNo="1"/>
      <labl>
        Usual Activity. Principal Status
      </labl>
      <qstn>
        <ivuInstr><![CDATA[Classification of each individual into a unique status poses a problem when more than one of the three activity statuses listed above concurrently obtain for a person.  In such  an eventuality, the identification uniquely under any one of the three activity statuses is done by adopting either the major time or priority criterion.  The former is used for classification of persons under 'usual activity status' and the latter for classification of persons under 'current activity status'.  The three major activity statuses have been further sub-divided into several detailed activity categories.  If a person categorised as engaged in economic/non-economic activity, by adopting one of the two criteria mentioned above, is found to be pursuing more than one economic/non-economic activity during the reference period, the appropriate detailed status code will relate to the activity in which relatively more time has been spent.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        388836
      </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">
          47078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an employer    ]]></labl>
        <catStat type="freq">
          1376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as  ‘helper’                                      ]]></labl>
        <catStat type="freq">
          23733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[worked as regular salaried/wage employee     ]]></labl>
        <catStat type="freq">
          34456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl><![CDATA[worked as casual wage labour in public works                                                            ]]></labl>
        <catStat type="freq">
          587
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl><![CDATA[casual wage labour in other types of works                                                                ]]></labl>
        <catStat type="freq">
          30280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          seeking work and available for work
        </labl>
        <catStat type="freq">
          4189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl><![CDATA[attended educational institution                                                                                  ]]></labl>
        <catStat type="freq">
          98940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl><![CDATA[attended domestic duties only                                                                                    ]]></labl>
        <catStat type="freq">
          61156
        </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">
          19085
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl><![CDATA[recipients of rent, pension, remittance, etc.                                    ]]></labl>
        <catStat type="freq">
          4094
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl><![CDATA[not able to work due to disability                                                                        ]]></labl>
        <catStat type="freq">
          2271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl><![CDATA[beggars, prostitutes, etc.                                                                                        ]]></labl>
        <catStat type="freq">
          113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl><![CDATA[others                                                                                                                    ]]></labl>
        <catStat type="freq">
          23254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          38224
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V84" name="B4_q9" files="F2" intrvl="discrete">
      <location StartPos="80" EndPos="81" width="2" RecSegNo="1"/>
      <labl>
        Usual Activity. Principal NIC code
      </labl>
      <qstn>
        <ivuInstr><![CDATA[Classification of each individual into a unique status poses a problem when more than one of the three activity statuses listed above concurrently obtain for a person.  In such  an eventuality, the identification uniquely under any one of the three activity statuses is done by adopting either the major time or priority criterion.  The former is used for classification of persons under 'usual activity status' and the latter for classification of persons under 'current activity status'.  The three major activity statuses have been further sub-divided into several detailed activity categories.  If a person categorised as engaged in economic/non-economic activity, by adopting one of the two criteria mentioned above, is found to be pursuing more than one economic/non-economic activity during the reference period, the appropriate detailed status code will relate to the activity in which relatively more time has been spent.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        137510
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          42442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing
        </labl>
        <catStat type="freq">
          420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          368
        </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">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          3215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          2637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          8707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          2738
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness and footwear
        </labl>
        <catStat type="freq">
          582
        </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">
          2286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reporoduction of recorded media
        </labl>
        <catStat type="freq">
          601
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined poetroleum products and nuclear fuel
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          494
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          2215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery and equipment
        </labl>
        <catStat type="freq">
          1730
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          854
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment and apparatus
        </labl>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, watches and clocks
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipmenmt
        </labl>
        <catStat type="freq">
          238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          2726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          83
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          7602
        </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">
          1199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicles and motorcycles
        </labl>
        <catStat type="freq">
          2545
        </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">
          18617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          3275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          6100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of travel agencies
        </labl>
        <catStat type="freq">
          333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension funding
        </labl>
        <catStat type="freq">
          1076
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social security
        </labl>
        <catStat type="freq">
          199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of personal and household goods
        </labl>
        <catStat type="freq">
          207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          250
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          1170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defence; compulsory social security
        </labl>
        <catStat type="freq">
          6544
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          4227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          1464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activities
        </labl>
        <catStat type="freq">
          204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          3670
        </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="V85" name="B4_q10" files="F2" intrvl="discrete">
      <location StartPos="82" EndPos="83" width="2" RecSegNo="1"/>
      <labl>
        Usual Activity. Subsidiary Status
      </labl>
      <qstn>
        <ivuInstr><![CDATA[Classification of each individual into a unique status poses a problem when more than one of the three activity statuses listed above concurrently obtain for a person.  In such  an eventuality, the identification uniquely under any one of the three activity statuses is done by adopting either the major time or priority criterion.  The former is used for classification of persons under 'usual activity status' and the latter for classification of persons under 'current activity status'.  The three major activity statuses have been further sub-divided into several detailed activity categories.  If a person categorised as engaged in economic/non-economic activity, by adopting one of the two criteria mentioned above, is found to be pursuing more than one economic/non-economic activity during the reference period, the appropriate detailed status code will relate to the activity in which relatively more time has been spent.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        30326
      </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">
          11398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an employer    ]]></labl>
        <catStat type="freq">
          414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as  ‘helper’                                      ]]></labl>
        <catStat type="freq">
          11219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[worked as regular salaried/wage employee     ]]></labl>
        <catStat type="freq">
          540
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl><![CDATA[worked as casual wage labour in public works                                                            ]]></labl>
        <catStat type="freq">
          181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl><![CDATA[casual wage labour in other types of works                                                                ]]></labl>
        <catStat type="freq">
          6574
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V86" name="B4_q11" files="F2" intrvl="discrete">
      <location StartPos="84" EndPos="85" width="2" RecSegNo="1"/>
      <labl>
        Usual Activity. Subsidiary NIC code
      </labl>
      <qstn>
        <ivuInstr><![CDATA[Classification of each individual into a unique status poses a problem when more than one of the three activity statuses listed above concurrently obtain for a person.  In such  an eventuality, the identification uniquely under any one of the three activity statuses is done by adopting either the major time or priority criterion.  The former is used for classification of persons under 'usual activity status' and the latter for classification of persons under 'current activity status'.  The three major activity statuses have been further sub-divided into several detailed activity categories.  If a person categorised as engaged in economic/non-economic activity, by adopting one of the two criteria mentioned above, is found to be pursuing more than one economic/non-economic activity during the reference period, the appropriate detailed status code will relate to the activity in which relatively more time has been spent.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        30326
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          20213
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          13
        </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">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          718
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          1124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness and footwear
        </labl>
        <catStat type="freq">
          40
        </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">
          643
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reporoduction of recorded media
        </labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined poetroleum products and nuclear fuel
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          435
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery and equipment
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          16
        </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">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment and apparatus
        </labl>
        <catStat type="freq">
          5
        </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">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipmenmt
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1140
        </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">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicles and motorcycles
        </labl>
        <catStat type="freq">
          177
        </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">
          1866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          330
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of travel agencies
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension funding
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social security
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of personal and household goods
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          13
        </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">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defence; compulsory social security
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activities
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          404
        </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="V87" name="B4_q12" files="F2" intrvl="discrete">
      <location StartPos="86" EndPos="87" width="2" RecSegNo="1"/>
      <labl>
        Weekly Activity. Status
      </labl>
      <qstn>
        <ivuInstr><![CDATA[Classification of each individual into a unique status poses a problem when more than one of the three activity statuses listed above concurrently obtain for a person.  In such  an eventuality, the identification uniquely under any one of the three activity statuses is done by adopting either the major time or priority criterion.  The former is used for classification of persons under 'usual activity status' and the latter for classification of persons under 'current activity status'.  The three major activity statuses have been further sub-divided into several detailed activity categories.  If a person categorised as engaged in economic/non-economic activity, by adopting one of the two criteria mentioned above, is found to be pursuing more than one economic/non-economic activity during the reference period, the appropriate detailed status code will relate to the activity in which relatively more time has been spent.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        388836
      </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">
          47206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an employer    ]]></labl>
        <catStat type="freq">
          1328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as  ‘helper’                                      ]]></labl>
        <catStat type="freq">
          24513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[worked as regular salaried/wage employee     ]]></labl>
        <catStat type="freq">
          34003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl><![CDATA[worked as casual wage labour in public works                                                            ]]></labl>
        <catStat type="freq">
          654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl><![CDATA[casual wage labour in other types of works                                                                ]]></labl>
        <catStat type="freq">
          28630
        </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">
          97
        </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">
          172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl><![CDATA[did not work due to sickness but had regular salaried/wage employment    ]]></labl>
        <catStat type="freq">
          78
        </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">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl><![CDATA[sought work    ]]></labl>
        <catStat type="freq">
          4768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl><![CDATA[did not seek but was available for work    ]]></labl>
        <catStat type="freq">
          154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl><![CDATA[attended educational institution                                                                                  ]]></labl>
        <catStat type="freq">
          93382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl><![CDATA[attended domestic duties only                                                                                    ]]></labl>
        <catStat type="freq">
          59561
        </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">
          17581
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl><![CDATA[recipients of rent, pension, remittance, etc.                                    ]]></labl>
        <catStat type="freq">
          3938
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl><![CDATA[not able to work due to disability                                                                        ]]></labl>
        <catStat type="freq">
          2337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl><![CDATA[beggars, prostitutes, etc.                                                                                        ]]></labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl><![CDATA[others                                                                                                                    ]]></labl>
        <catStat type="freq">
          31859
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl><![CDATA[did not work due to sickness (for casual workers only)                                       ]]></labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          38224
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V88" name="B4_q13" files="F2" intrvl="discrete">
      <location StartPos="88" EndPos="89" width="2" RecSegNo="1"/>
      <labl>
        Weekly Activity NIC code
      </labl>
      <qstn>
        <ivuInstr><![CDATA[Classification of each individual into a unique status poses a problem when more than one of the three activity statuses listed above concurrently obtain for a person.  In such  an eventuality, the identification uniquely under any one of the three activity statuses is done by adopting either the major time or priority criterion.  The former is used for classification of persons under 'usual activity status' and the latter for classification of persons under 'current activity status'.  The three major activity statuses have been further sub-divided into several detailed activity categories.  If a person categorised as engaged in economic/non-economic activity, by adopting one of the two criteria mentioned above, is found to be pursuing more than one economic/non-economic activity during the reference period, the appropriate detailed status code will relate to the activity in which relatively more time has been spent.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        136760
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          41170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing
        </labl>
        <catStat type="freq">
          383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          375
        </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">
          119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          3303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          2830
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          8853
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          2789
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness and footwear
        </labl>
        <catStat type="freq">
          576
        </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">
          2396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reporoduction of recorded media
        </labl>
        <catStat type="freq">
          612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined poetroleum products and nuclear fuel
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          975
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          493
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          2159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery and equipment
        </labl>
        <catStat type="freq">
          1689
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          846
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment and apparatus
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, watches and clocks
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipmenmt
        </labl>
        <catStat type="freq">
          236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          2744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          582
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          7496
        </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">
          1194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicles and motorcycles
        </labl>
        <catStat type="freq">
          2557
        </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">
          18814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          3263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          6034
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of travel agencies
        </labl>
        <catStat type="freq">
          338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension funding
        </labl>
        <catStat type="freq">
          1089
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social security
        </labl>
        <catStat type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of personal and household goods
        </labl>
        <catStat type="freq">
          203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          1165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defence; compulsory social security
        </labl>
        <catStat type="freq">
          6517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          4232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          1466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activities
        </labl>
        <catStat type="freq">
          215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          494
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          3618
        </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="V89" name="B4_q14" files="F2" dcml="0" intrvl="contin">
      <location StartPos="90" EndPos="91" width="2" RecSegNo="1"/>
      <labl>
        Days Stayed away
      </labl>
      <qstn>
        <qstnLit>
          How many days a member has stayed away from the household?
        </qstnLit>
        <ivuInstr><![CDATA[The number of days for which the member 'stayed away from  home' during the 30 days preceding the date of enquiry should be recorded here. A continuous absence from home for 24 hours will be reckoned as a 'day stayed away'. That is, the entry will be made in completed number of days and any fraction of a day will be ignored. The location of the place where the person stayed, having been away from his/her own household, may also be within the same village/town and staying away will not only mean physical absence but also non- participation in food consumption from his/her own household.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="30"/>
      </valrng>
      <sumStat type="vald">
        108018
      </sumStat>
      <sumStat type="invd">
        280818
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        2.009
      </sumStat>
      <sumStat type="stdev">
        5.112
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V90" name="B4_q15" files="F2" dcml="0" intrvl="contin">
      <location StartPos="92" EndPos="92" width="1" RecSegNo="1"/>
      <labl>
        No. of Meals per day
      </labl>
      <qstn>
        <qstnLit>
          How many meals do you usually take in a day?
        </qstnLit>
        <ivuInstr><![CDATA[The number of meals consumed by a person is usually reported as 2 or 3.  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'. To have a clear idea of what constitutes a meal, the following three paragraphs may be referred to.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3"/>
      </valrng>
      <sumStat type="vald">
        387737
      </sumStat>
      <sumStat type="invd">
        1099
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3
      </sumStat>
      <sumStat type="mean">
        2.399
      </sumStat>
      <sumStat type="stdev">
        0.554
      </sumStat>
      <txt><![CDATA[A 'meal' is composed of one or more readily eatable (generally cooked) items of food, the usually major constituent of which is cereals. The meals consumed by a person twice or thrice a day provide him/her the required energy (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal', as opposed to 'snacks', 'nashta' or 'high tea', contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food.  Even then, if the quantum of food in a plate is heavy as a meal, the contents of the food plate will also be considered as a 'meal'.  Sometimes the contents of a 'nashta' may not be very different from the contents of a 'meal'. The difference in quantity will therefore be the guiding factor for deciding whether the plate is to be labelled as a 'meal' or a 'nashta'.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V91" name="B4_q16" files="F2" dcml="0" intrvl="contin">
      <location StartPos="93" EndPos="94" width="2" RecSegNo="1"/>
      <labl>
        Meals (School)
      </labl>
      <qstn>
        <qstnLit><![CDATA[If  you or any member of the household  take meals free of cost from school, balwadi etc, then how many such meals are taken in a day?]]></qstnLit>
        <ivuInstr>
          Columns (16), (17) &amp; (18) pertain to meals taken away from home without payment.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        41573
      </sumStat>
      <sumStat type="invd">
        347263
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        1.94
      </sumStat>
      <sumStat type="stdev">
        6.858
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V92" name="B4_q17" files="F2" dcml="0" intrvl="contin">
      <location StartPos="95" EndPos="96" width="2" RecSegNo="1"/>
      <labl>
        Meals (Employer)
      </labl>
      <qstn>
        <qstnLit><![CDATA[If you or any member of the household  take meals free of cost from employer, then how many such meals do you take in a day?]]></qstnLit>
        <ivuInstr>
          Columns (16), (17) &amp; (18) pertain to meals taken away from home without payment.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        39800
      </sumStat>
      <sumStat type="invd">
        349036
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        1.584
      </sumStat>
      <sumStat type="stdev">
        8.759
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V93" name="B4_q18" files="F2" dcml="0" intrvl="contin">
      <location StartPos="97" EndPos="98" width="2" RecSegNo="1"/>
      <labl>
        Meals (Others)
      </labl>
      <qstn>
        <qstnLit>
          If you or any member of the household take meals free of cost from others, then how many such meals do you take in a day?
        </qstnLit>
        <ivuInstr>
          Columns (16), (17) &amp; (18) pertain to meals taken away from home without payment.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        68504
      </sumStat>
      <sumStat type="invd">
        320332
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        6.573
      </sumStat>
      <sumStat type="stdev">
        13.756
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V94" name="B4_q19" files="F2" dcml="0" intrvl="contin">
      <location StartPos="99" EndPos="100" width="2" RecSegNo="1"/>
      <labl>
        Meals (Payment)
      </labl>
      <qstn>
        <qstnLit>
          If you or any member of the household take meals away from home on payment, then how many such meals do you take?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        48344
      </sumStat>
      <sumStat type="invd">
        340492
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        4.372
      </sumStat>
      <sumStat type="stdev">
        13.245
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V95" name="B4_q20" files="F2" dcml="0" intrvl="contin">
      <location StartPos="101" EndPos="102" width="2" RecSegNo="1"/>
      <labl>
        Meals(At Home)
      </labl>
      <qstn>
        <qstnLit>
          How many meals are taken at home in a day?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        384450
      </sumStat>
      <sumStat type="invd">
        4386
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        70.277
      </sumStat>
      <sumStat type="stdev">
        17.3
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V99" name="Wgt_SubSample" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="112" width="10" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1362357"/>
      </valrng>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1362357
      </sumStat>
      <sumStat type="mean">
        4738.867
      </sumStat>
      <sumStat type="stdev">
        19719.06
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V100" name="Wgt_Combined" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="113" EndPos="121" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.5" max="681178.5"/>
      </valrng>
      <sumStat type="vald">
        388836
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        681178.5
      </sumStat>
      <sumStat type="mean">
        2370.561
      </sumStat>
      <sumStat type="stdev">
        9859.977
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

if  NSC>NSS

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V306" name="HHID2" files="F3" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V101" name="ID" files="F3" intrvl="discrete">
      <location StartPos="9" EndPos="10" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V102" name="RoundSchedule" files="F3" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          561
        </catValu>
        <catStat type="freq">
          3707564
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V103" name="SS_Original" files="F3" intrvl="discrete">
      <location StartPos="14" EndPos="14" width="1" RecSegNo="1"/>
      <labl>
        SS_Original
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V104" name="Sector" files="F3" intrvl="discrete">
      <location StartPos="15" EndPos="15" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        3707564
      </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">
          1328956
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          2378608
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V105" name="State_region" files="F3" intrvl="discrete">
      <location StartPos="16" EndPos="18" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        3707564
      </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="V127" name="State" files="F3" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          263491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          23507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          127600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          170956
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          15350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          177124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          65127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          73491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          81918
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          162967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          161399
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          190369
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          360950
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          41385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          34266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          37404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          21767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          130804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          133882
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          155244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          11060
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          307966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          71219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          365123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          252447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          18713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          5759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          3466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          4443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          38015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          4538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          8528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          110222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chattisgarh
        </labl>
        <catStat type="freq">
          47132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          29932
        </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="V106" name="Stratum" files="F3" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        3707564
      </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="V107" name="SubStratum" files="F3" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V108" name="District" files="F3" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V109" name="SubRound" files="F3" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          904418
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          928565
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          948038
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          926543
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V110" name="SS_Revised" files="F3" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        SS Revised
      </labl>
      <sumStat type="vald">
        3707564
      </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">
          1301282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          2406282
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V111" name="Vill_Blk_Slno" files="F3" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V112" name="SegmentNo" files="F3" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2991106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          716458
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V113" name="Hhold_no" files="F3" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V114" name="Survey_Code" files="F3" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <sumStat type="vald">
        3704826
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3511682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          192404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          119
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V115" name="Substn_Code" files="F3" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Substitution Code
      </labl>
      <sumStat type="vald">
        194340
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          11448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          148825
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          22093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          11477
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V116" name="NSS" files="F3" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V117" name="NSC" files="F3" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V118" name="MULT_SS" files="F3" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="51" width="9" RecSegNo="1"/>
      <labl>
        MULT_SS
      </labl>
      <valrng>
        <range min="100" max="136235700"/>
      </valrng>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        136235700
      </sumStat>
      <sumStat type="mean">
        451208.335
      </sumStat>
      <sumStat type="stdev">
        1880131.353
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V119" name="MPCE_CODE" files="F3" intrvl="discrete">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        MPCE_CODE
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V120" name="CMPCE_CODE" files="F3" intrvl="discrete">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        CMPCE_CODE
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V121" name="B5_q1" files="F3" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Block 5 Item code
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          rice – P.D.S.
        </labl>
        <catStat type="freq">
          14047
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          rice – other sources
        </labl>
        <catStat type="freq">
          72857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          chira
        </labl>
        <catStat type="freq">
          11724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          khoi, lawa
        </labl>
        <catStat type="freq">
          678
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          muri
        </labl>
        <catStat type="freq">
          11769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          other rice products
        </labl>
        <catStat type="freq">
          2599
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          wheat/atta – P.D.S.
        </labl>
        <catStat type="freq">
          5996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          wheat/atta – other sources
        </labl>
        <catStat type="freq">
          56077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          maida
        </labl>
        <catStat type="freq">
          8526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          suji, rawa
        </labl>
        <catStat type="freq">
          21894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          sewai, noodles
        </labl>
        <catStat type="freq">
          4362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          bread (bakery)
        </labl>
        <catStat type="freq">
          19198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          other wheat products
        </labl>
        <catStat type="freq">
          412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          jowar &amp; products
        </labl>
        <catStat type="freq">
          4666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          bajra &amp; products
        </labl>
        <catStat type="freq">
          3059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          maize &amp; products
        </labl>
        <catStat type="freq">
          3957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          barley &amp; products
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          small millets &amp; products
        </labl>
        <catStat type="freq">
          496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          ragi &amp; products
        </labl>
        <catStat type="freq">
          3424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          cereal: s.t. (101-121)
        </labl>
        <catStat type="freq">
          78920
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl><![CDATA[cereal substitutes  (tapioca, jackfruit seed etc.)]]></labl>
        <catStat type="freq">
          5933
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          arhar (tur)
        </labl>
        <catStat type="freq">
          46342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          gram (split)
        </labl>
        <catStat type="freq">
          29174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          gram (whole)
        </labl>
        <catStat type="freq">
          12885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Moong
        </labl>
        <catStat type="freq">
          40101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Masur
        </labl>
        <catStat type="freq">
          35791
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          Urd
        </labl>
        <catStat type="freq">
          28090
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          Peas
        </labl>
        <catStat type="freq">
          6932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          soyabean
        </labl>
        <catStat type="freq">
          2396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Khesari
        </labl>
        <catStat type="freq">
          1747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          other pulses
        </labl>
        <catStat type="freq">
          14267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          gram products
        </labl>
        <catStat type="freq">
          3713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          besan
        </labl>
        <catStat type="freq">
          24767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          other pulse products
        </labl>
        <catStat type="freq">
          5086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          pulses &amp; pulse products: s.t. (140-153)
        </labl>
        <catStat type="freq">
          77618
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          milk: liquid (litre)
        </labl>
        <catStat type="freq">
          62089
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          baby food
        </labl>
        <catStat type="freq">
          1177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          milk : condensed/ powder
        </labl>
        <catStat type="freq">
          5695
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          curd
        </labl>
        <catStat type="freq">
          7280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          ghee
        </labl>
        <catStat type="freq">
          14734
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          butter
        </labl>
        <catStat type="freq">
          2163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          ice-cream
        </labl>
        <catStat type="freq">
          2230
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          other milk products
        </labl>
        <catStat type="freq">
          2127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          milk &amp; milk products: s.t.(160-167)
        </labl>
        <catStat type="freq">
          67442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          vanaspati, margarine
        </labl>
        <catStat type="freq">
          16011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          mustard oil
        </labl>
        <catStat type="freq">
          39832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          groundnut oil
        </labl>
        <catStat type="freq">
          14067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          coconut oil
        </labl>
        <catStat type="freq">
          3650
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          edible oil (others)
        </labl>
        <catStat type="freq">
          24434
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          edible oil: s.t. (170-174)
        </labl>
        <catStat type="freq">
          78276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          eggs (no.)
        </labl>
        <catStat type="freq">
          33924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          fish, prawn
        </labl>
        <catStat type="freq">
          28524
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          goat meat/mutton
        </labl>
        <catStat type="freq">
          20517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          beef/ buffalo meat
        </labl>
        <catStat type="freq">
          8959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          pork
        </labl>
        <catStat type="freq">
          2979
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          chicken
        </labl>
        <catStat type="freq">
          17538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          others (birds, crab, oyster, tortoise, etc.)
        </labl>
        <catStat type="freq">
          2051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          egg, fish &amp; meat: s.t. (180-186)
        </labl>
        <catStat type="freq">
          52059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          potato
        </labl>
        <catStat type="freq">
          75633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          onion
        </labl>
        <catStat type="freq">
          76238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          radish
        </labl>
        <catStat type="freq">
          24694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          carrot
        </labl>
        <catStat type="freq">
          21048
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          turnip
        </labl>
        <catStat type="freq">
          1829
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          beet
        </labl>
        <catStat type="freq">
          5392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          sweet potato
        </labl>
        <catStat type="freq">
          2492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          arum
        </labl>
        <catStat type="freq">
          10854
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          pumpkin
        </labl>
        <catStat type="freq">
          23961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          gourd
        </labl>
        <catStat type="freq">
          29506
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          bitter gourd
        </labl>
        <catStat type="freq">
          22287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          cucumber
        </labl>
        <catStat type="freq">
          19878
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          parwal / patal
        </labl>
        <catStat type="freq">
          11207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          jhinga / torai
        </labl>
        <catStat type="freq">
          18556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          snake gourd
        </labl>
        <catStat type="freq">
          7163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          papaya (green)
        </labl>
        <catStat type="freq">
          7473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          cauliflower
        </labl>
        <catStat type="freq">
          31061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          cabbage
        </labl>
        <catStat type="freq">
          39986
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          brinjal
        </labl>
        <catStat type="freq">
          60408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          lady’s finger
        </labl>
        <catStat type="freq">
          39382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          palak/other leafy vegetables
        </labl>
        <catStat type="freq">
          55657
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          french beans and barbati
        </labl>
        <catStat type="freq">
          17777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          tomato
        </labl>
        <catStat type="freq">
          63287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          peas
        </labl>
        <catStat type="freq">
          12093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          chillis (green)
        </labl>
        <catStat type="freq">
          67689
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          capsicum
        </labl>
        <catStat type="freq">
          2812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          plantain (green)
        </labl>
        <catStat type="freq">
          6788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          jackfruit (green)
        </labl>
        <catStat type="freq">
          3857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          lemon (no.)
        </labl>
        <catStat type="freq">
          33641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          other vegetables
        </labl>
        <catStat type="freq">
          40774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          vegetables: s.t. (190-222)
        </labl>
        <catStat type="freq">
          78691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          banana (no.)
        </labl>
        <catStat type="freq">
          49910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          jackfruit
        </labl>
        <catStat type="freq">
          997
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          watermelon
        </labl>
        <catStat type="freq">
          3436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Pineapple(no.)
        </labl>
        <catStat type="freq">
          2159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          coconut (no.)
        </labl>
        <catStat type="freq">
          23594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          guava
        </labl>
        <catStat type="freq">
          11389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          singara
        </labl>
        <catStat type="freq">
          1295
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          orange,mausami (no.)
        </labl>
        <catStat type="freq">
          10041
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          papaya
        </labl>
        <catStat type="freq">
          4334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          mango
        </labl>
        <catStat type="freq">
          11764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          kharbooza
        </labl>
        <catStat type="freq">
          1693
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          pears (naspati)
        </labl>
        <catStat type="freq">
          938
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          berries
        </labl>
        <catStat type="freq">
          1112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          leechi
        </labl>
        <catStat type="freq">
          758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          apple
        </labl>
        <catStat type="freq">
          14502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          grapes
        </labl>
        <catStat type="freq">
          9103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          other fresh fruits
        </labl>
        <catStat type="freq">
          10635
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          fruits (fresh) : s.t. (230-247)
        </labl>
        <catStat type="freq">
          66665
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          coconut (copra)
        </labl>
        <catStat type="freq">
          7824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          groundnut
        </labl>
        <catStat type="freq">
          16797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          dates
        </labl>
        <catStat type="freq">
          2667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          cashewnut
        </labl>
        <catStat type="freq">
          2982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          walnut
        </labl>
        <catStat type="freq">
          363
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          other nuts
        </labl>
        <catStat type="freq">
          631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          raisin (kishmish, monacca, etc.)
        </labl>
        <catStat type="freq">
          3573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          other dry fruits
        </labl>
        <catStat type="freq">
          2869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          fruits (dry) : s.t. (250-257)
        </labl>
        <catStat type="freq">
          23589
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          sugar - P.D.S.
        </labl>
        <catStat type="freq">
          35848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          sugar - other sources
        </labl>
        <catStat type="freq">
          63251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          gur
        </labl>
        <catStat type="freq">
          18850
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          candy (misri)
        </labl>
        <catStat type="freq">
          580
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          honey
        </labl>
        <catStat type="freq">
          568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          sugar : s.t. (260-264)
        </labl>
        <catStat type="freq">
          76546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          salt
        </labl>
        <catStat type="freq">
          78526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          turmeric (gm)
        </labl>
        <catStat type="freq">
          76718
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          black pepper (gm)
        </labl>
        <catStat type="freq">
          22188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          dry chillies(gm)
        </labl>
        <catStat type="freq">
          71622
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          garlic (gm)
        </labl>
        <catStat type="freq">
          68119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          tamarind (gm)
        </labl>
        <catStat type="freq">
          23130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          ginger (gm)
        </labl>
        <catStat type="freq">
          50064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          curry powder (gm)
        </labl>
        <catStat type="freq">
          19069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          oilseeds (gm)
        </labl>
        <catStat type="freq">
          25622
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          other spices (gm)
        </labl>
        <catStat type="freq">
          72256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          spices : s.t. (280-288)
        </labl>
        <catStat type="freq">
          78490
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          tea : cups (no.)
        </labl>
        <catStat type="freq">
          45413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          tea : leaf (gm)
        </labl>
        <catStat type="freq">
          67622
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          coffee : cups (no.)
        </labl>
        <catStat type="freq">
          1387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          coffee: powder (gm)
        </labl>
        <catStat type="freq">
          6570
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          ice
        </labl>
        <catStat type="freq">
          391
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          cold beverages: bottled/canned (no.)
        </labl>
        <catStat type="freq">
          5264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          fruit juice and shake (glass)
        </labl>
        <catStat type="freq">
          2233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          coconut: green (no.)
        </labl>
        <catStat type="freq">
          2924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl><![CDATA[other beverages (cocoa,  etc.)]]></labl>
        <catStat type="freq">
          2457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          biscuits
        </labl>
        <catStat type="freq">
          47069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          salted refreshments
        </labl>
        <catStat type="freq">
          38157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          prepared sweets
        </labl>
        <catStat type="freq">
          19146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          cooked meals (no.)
        </labl>
        <catStat type="freq">
          9308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          cake, pastry
        </labl>
        <catStat type="freq">
          1747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          pickles (gm)
        </labl>
        <catStat type="freq">
          15034
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          sauce (gm)
        </labl>
        <catStat type="freq">
          1540
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          jam, jelly (gm)
        </labl>
        <catStat type="freq">
          1502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          other processed food
        </labl>
        <catStat type="freq">
          20728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          beverages, etc.: s.t. (290-308)
        </labl>
        <catStat type="freq">
          80023
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          pan : leaf (no.)
        </labl>
        <catStat type="freq">
          9772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          pan : finished (no.)
        </labl>
        <catStat type="freq">
          10754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          supari (gm)
        </labl>
        <catStat type="freq">
          10761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          lime (gm)
        </labl>
        <catStat type="freq">
          12825
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          katha (gm)
        </labl>
        <catStat type="freq">
          2592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          other ingredients for pan (gm)
        </labl>
        <catStat type="freq">
          3678
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          pan: s.t. (310-315)
        </labl>
        <catStat type="freq">
          24194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          bidi (no.)
        </labl>
        <catStat type="freq">
          21842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          cigarettes (no.)
        </labl>
        <catStat type="freq">
          7165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          leaf tobacco
        </labl>
        <catStat type="freq">
          11466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          snuff (gm)
        </labl>
        <catStat type="freq">
          776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          hookah tobacco
        </labl>
        <catStat type="freq">
          1625
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          cheroot (no.)
        </labl>
        <catStat type="freq">
          442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          zarda, kimam, surti (gm)
        </labl>
        <catStat type="freq">
          3432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          other tobacco products (gm)
        </labl>
        <catStat type="freq">
          4906
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          tobacco: s.t. (320-327)
        </labl>
        <catStat type="freq">
          42430
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          ganja (gm)
        </labl>
        <catStat type="freq">
          133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          toddy (litre)
        </labl>
        <catStat type="freq">
          1557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          country liquor (litre)
        </labl>
        <catStat type="freq">
          7090
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          beer (litre)
        </labl>
        <catStat type="freq">
          587
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          foreign liquor or refined liquor (litre)
        </labl>
        <catStat type="freq">
          2337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          other intoxicants
        </labl>
        <catStat type="freq">
          560
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl><![CDATA[intoxicants:  s.t. (330-335)]]></labl>
        <catStat type="freq">
          11538
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V122" name="B5_q3" files="F3" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="67" width="9" RecSegNo="1"/>
      <labl>
        Quantity (0.00)
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was consumed by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="115125"/>
      </valrng>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        115125
      </sumStat>
      <sumStat type="mean">
        69.769
      </sumStat>
      <sumStat type="stdev">
        259.081
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V123" name="B5_q4" files="F3" dcml="2" intrvl="contin">
      <location StartPos="68" EndPos="75" width="8" RecSegNo="1"/>
      <labl>
        Value (Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          What was the value of the items consumed by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="28257"/>
      </valrng>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        28257
      </sumStat>
      <sumStat type="mean">
        78.952
      </sumStat>
      <sumStat type="stdev">
        164.675
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V124" name="FoodCode" files="F3" intrvl="discrete">
      <location StartPos="76" EndPos="76" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V125" name="OnUseOfDurable" files="F3" intrvl="discrete">
      <location StartPos="77" EndPos="77" width="1" RecSegNo="1"/>
      <labl>
        OnUseOfDurable
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V128" name="Wgt_SubSample" wgt="wgt" files="F3" dcml="2" intrvl="contin">
      <location StartPos="78" EndPos="87" width="10" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1362357"/>
      </valrng>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1362357
      </sumStat>
      <sumStat type="mean">
        4512.083
      </sumStat>
      <sumStat type="stdev">
        18801.314
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V129" name="Wgt_Combined" wgt="wgt" files="F3" dcml="2" intrvl="contin">
      <location StartPos="88" EndPos="96" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.5" max="681178.5"/>
      </valrng>
      <sumStat type="vald">
        3707564
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        681178.5
      </sumStat>
      <sumStat type="mean">
        2256.971
      </sumStat>
      <sumStat type="stdev">
        9401.039
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

if  NSC>NSS

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V307" name="HHID" files="F4" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V130" name="ID" files="F4" intrvl="discrete">
      <location StartPos="9" EndPos="10" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V131" name="RoundSchedule" files="F4" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          561
        </catValu>
        <catStat type="freq">
          400000
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V132" name="SS_Original" files="F4" intrvl="discrete">
      <location StartPos="14" EndPos="14" width="1" RecSegNo="1"/>
      <labl>
        SS_Original
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V133" name="Sector" files="F4" intrvl="discrete">
      <location StartPos="15" EndPos="15" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        400000
      </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">
          154491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          245509
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V134" name="State_region" files="F4" intrvl="discrete">
      <location StartPos="16" EndPos="18" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        400000
      </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="V156" name="State" files="F4" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          26602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          2838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          12845
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          21809
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          1623
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          16997
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          8336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          8186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          11011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          14837
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          16447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          21990
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          32944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          5954
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          3245
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          4556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          2802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          13235
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          16067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          18493
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          1396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          28742
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          7465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          43228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          27814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          1715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          3787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          13655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chattisgarh
        </labl>
        <catStat type="freq">
          5327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          3462
        </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="V135" name="Stratum" files="F4" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        400000
      </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="V136" name="SubStratum" files="F4" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V137" name="District" files="F4" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V138" name="SubRound" files="F4" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          98751
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          99965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          101200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          100084
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V139" name="SS_Revised" files="F4" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        SS Revised
      </labl>
      <sumStat type="vald">
        400000
      </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">
          140524
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          259476
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V140" name="Vill_Blk_Slno" files="F4" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V141" name="SegmentNo" files="F4" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          320400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          79600
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V142" name="Hhold_no" files="F4" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V143" name="Survey_Code" files="F4" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <sumStat type="vald">
        399682
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          380730
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          18864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V144" name="Substn_Code" files="F4" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Substitution Code
      </labl>
      <sumStat type="vald">
        19128
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          14612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1180
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V145" name="NSS" files="F4" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V146" name="NSC" files="F4" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V147" name="MULT_SS" files="F4" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="51" width="9" RecSegNo="1"/>
      <labl>
        MULT_SS
      </labl>
      <valrng>
        <range min="100" max="136235700"/>
      </valrng>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        136235700
      </sumStat>
      <sumStat type="mean">
        464369.542
      </sumStat>
      <sumStat type="stdev">
        1908297.846
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V148" name="MPCE_CODE" files="F4" intrvl="discrete">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        MPCE_CODE
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V149" name="CMPCE_CODE" files="F4" intrvl="discrete">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        CMPCE_CODE
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V150" name="B5_1_q1" files="F4" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Block 5.1 Item Code
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          coke
        </labl>
        <catStat type="freq">
          872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          firewood and chips
        </labl>
        <catStat type="freq">
          43022
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          electricity (std. Unit)
        </labl>
        <catStat type="freq">
          59259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          dung cake
        </labl>
        <catStat type="freq">
          15498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          kerosene - P.D.S. (litre)
        </labl>
        <catStat type="freq">
          42002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          kerosene - other sources (litre)
        </labl>
        <catStat type="freq">
          29087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          matches (box)
        </labl>
        <catStat type="freq">
          77394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          coal
        </labl>
        <catStat type="freq">
          2244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          LPG
        </labl>
        <catStat type="freq">
          27798
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          charcoal
        </labl>
        <catStat type="freq">
          702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          candle (no.)
        </labl>
        <catStat type="freq">
          17335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          gobar gas
        </labl>
        <catStat type="freq">
          237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          other fuel
        </labl>
        <catStat type="freq">
          3876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          fuel and light: s.t. (340-353)
        </labl>
        <catStat type="freq">
          80674
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V151" name="B5_1_q3" files="F4" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="65" width="7" RecSegNo="1"/>
      <labl>
        Quantity (0.00)
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was consumed by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="4000"/>
      </valrng>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4000
      </sumStat>
      <sumStat type="mean">
        28.348
      </sumStat>
      <sumStat type="stdev">
        63.011
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V152" name="B5_1_q4" files="F4" dcml="2" intrvl="contin">
      <location StartPos="66" EndPos="72" width="7" RecSegNo="1"/>
      <labl>
        Value (Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          What was the value of the items consumed by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.1" max="7600"/>
      </valrng>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.1
      </sumStat>
      <sumStat type="max">
        7600
      </sumStat>
      <sumStat type="mean">
        122.292
      </sumStat>
      <sumStat type="stdev">
        168.594
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V153" name="FoodCode" files="F4" intrvl="discrete">
      <location StartPos="73" EndPos="73" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V154" name="OnUseOfDurable" files="F4" intrvl="discrete">
      <location StartPos="74" EndPos="74" width="1" RecSegNo="1"/>
      <labl>
        OnUseOfDurable
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V157" name="Wgt_SubSample" wgt="wgt" files="F4" dcml="2" intrvl="contin">
      <location StartPos="75" EndPos="84" width="10" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1362357"/>
      </valrng>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1362357
      </sumStat>
      <sumStat type="mean">
        4643.695
      </sumStat>
      <sumStat type="stdev">
        19082.978
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V158" name="Wgt_Combined" wgt="wgt" files="F4" dcml="2" intrvl="contin">
      <location StartPos="85" EndPos="93" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.5" max="681178.5"/>
      </valrng>
      <sumStat type="vald">
        400000
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        681178.5
      </sumStat>
      <sumStat type="mean">
        2323.028
      </sumStat>
      <sumStat type="stdev">
        9542.005
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

if  NSC>NSS

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V308" name="HHID" files="F5" intrvl="discrete">
      <location StartPos="96" EndPos="103" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V159" name="ID" files="F5" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V160" name="RoundSchedule" files="F5" intrvl="discrete">
      <location StartPos="12" EndPos="14" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          561
        </catValu>
        <catStat type="freq">
          719734
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V161" name="SS_Original" files="F5" intrvl="discrete">
      <location StartPos="15" EndPos="15" width="1" RecSegNo="1"/>
      <labl>
        SS_Original
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V162" name="Sector" files="F5" intrvl="discrete">
      <location StartPos="16" EndPos="16" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        719734
      </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">
          265073
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          454661
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V163" name="State_region" files="F5" intrvl="discrete">
      <location StartPos="17" EndPos="19" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        719734
      </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="V185" name="State" files="F5" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          42279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          4595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          27180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          42118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          2339
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          35256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          13590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          13834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          14342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          26942
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          28268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          39117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          61120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          8561
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          6962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          6722
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          4924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          24044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          26844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          34953
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          3053
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          49783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          14470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          79648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          51174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          2976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          1019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          720
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          895
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          7341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          1461
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          26571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chattisgarh
        </labl>
        <catStat type="freq">
          9979
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          5833
        </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="V164" name="Stratum" files="F5" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        719734
      </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="V165" name="SubStratum" files="F5" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V166" name="District" files="F5" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V167" name="SubRound" files="F5" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          179760
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          181436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          180056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          178482
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V168" name="SS_Revised" files="F5" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        SS Revised
      </labl>
      <sumStat type="vald">
        719734
      </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">
          252747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          466987
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V169" name="Vill_Blk_Slno" files="F5" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V170" name="SegmentNo" files="F5" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          579084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          140650
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V171" name="Hhold_no" files="F5" intrvl="discrete">
      <location StartPos="35" EndPos="36" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V172" name="Survey_Code" files="F5" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <sumStat type="vald">
        719217
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          684260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          34808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V173" name="Substn_Code" files="F5" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Substitution Code
      </labl>
      <sumStat type="vald">
        35150
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          26658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          4109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          2165
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V174" name="NSS" files="F5" intrvl="discrete">
      <location StartPos="39" EndPos="40" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V175" name="NSC" files="F5" intrvl="discrete">
      <location StartPos="41" EndPos="43" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V176" name="MULT_SS" files="F5" dcml="0" intrvl="contin">
      <location StartPos="44" EndPos="52" width="9" RecSegNo="1"/>
      <labl>
        MULT_SS
      </labl>
      <valrng>
        <range min="100" max="136235700"/>
      </valrng>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        136235700
      </sumStat>
      <sumStat type="mean">
        460781.118
      </sumStat>
      <sumStat type="stdev">
        1891839.934
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V177" name="MPCE_CODE" files="F5" intrvl="discrete">
      <location StartPos="53" EndPos="54" width="2" RecSegNo="1"/>
      <labl>
        MPCE_CODE
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V178" name="CMPCE_CODE" files="F5" intrvl="discrete">
      <location StartPos="55" EndPos="56" width="2" RecSegNo="1"/>
      <labl>
        CMPCE_CODE
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V179" name="B6_q1" files="F5" intrvl="discrete">
      <location StartPos="57" EndPos="59" width="3" RecSegNo="1"/>
      <labl>
        Block 6 item code
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          dhoti (metre)
        </labl>
        <catStat type="freq">
          19434
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          sari (metre)
        </labl>
        <catStat type="freq">
          57255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          cloth for shirt, pyjama, salwar etc. (metre)
        </labl>
        <catStat type="freq">
          69718
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          cloth for coat, trousers, overcoat etc. (metre)
        </labl>
        <catStat type="freq">
          53211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          chaddar, dupatta, shawl etc. (no.)
        </labl>
        <catStat type="freq">
          26994
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          lungi (no.)
        </labl>
        <catStat type="freq">
          49329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          gamchha, towel, handkerchief (no.)
        </labl>
        <catStat type="freq">
          68307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          hosiery articles, stockings, under-garments etc. (no.)
        </labl>
        <catStat type="freq">
          71638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl><![CDATA[ready-made garments (no.)  ]]></labl>
        <catStat type="freq">
          60970
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          headwear (no.)
        </labl>
        <catStat type="freq">
          5789
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          knitted garments, sweater, pullover, cardigan, muffler, scarf etc. (no.)
        </labl>
        <catStat type="freq">
          22799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          knitting wool, cotton yarn (gm)
        </labl>
        <catStat type="freq">
          3792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          clothing: others
        </labl>
        <catStat type="freq">
          18391
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          clothing: second-hand
        </labl>
        <catStat type="freq">
          6564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          clothing: s.t. (360-374)
        </labl>
        <catStat type="freq">
          81155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          bed sheet, bed cover (no.)
        </labl>
        <catStat type="freq">
          31470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          rug, blanket (no.)
        </labl>
        <catStat type="freq">
          8016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          pillow, quilt, mattress (no.)
        </labl>
        <catStat type="freq">
          8265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          cloth for upholstery, curtain, table-cloth etc. (metre)
        </labl>
        <catStat type="freq">
          2352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          mosquito net (no.)
        </labl>
        <catStat type="freq">
          4628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          mats and matting (no.)
        </labl>
        <catStat type="freq">
          4478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          cotton (gm)
        </labl>
        <catStat type="freq">
          1394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          bedding: others
        </labl>
        <catStat type="freq">
          2874
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          bedding, etc.: s.t. (380-387)
        </labl>
        <catStat type="freq">
          40911
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V180" name="B6_q3" files="F5" dcml="2" intrvl="contin">
      <location StartPos="60" EndPos="66" width="7" RecSegNo="1"/>
      <labl>
        Quantity (0.00)
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was consumed by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2465.75"/>
      </valrng>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2465.75
      </sumStat>
      <sumStat type="mean">
        1.155
      </sumStat>
      <sumStat type="stdev">
        16.848
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V181" name="B6_q4" files="F5" dcml="2" intrvl="contin">
      <location StartPos="67" EndPos="74" width="8" RecSegNo="1"/>
      <labl>
        Value (Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          What was the value of the items consumed by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="11095.89"/>
      </valrng>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11095.89
      </sumStat>
      <sumStat type="mean">
        52.606
      </sumStat>
      <sumStat type="stdev">
        99.221
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V182" name="FoodCode" files="F5" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V183" name="OnUseOfDurable" files="F5" intrvl="discrete">
      <location StartPos="76" EndPos="76" width="1" RecSegNo="1"/>
      <labl>
        OnUseOfDurable
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V186" name="Wgt_SubSample" wgt="wgt" files="F5" dcml="2" intrvl="contin">
      <location StartPos="77" EndPos="86" width="10" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1362357"/>
      </valrng>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1362357
      </sumStat>
      <sumStat type="mean">
        4607.811
      </sumStat>
      <sumStat type="stdev">
        18918.399
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V187" name="Wgt_Combined" wgt="wgt" files="F5" dcml="2" intrvl="contin">
      <location StartPos="87" EndPos="95" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.5" max="681178.5"/>
      </valrng>
      <sumStat type="vald">
        719734
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        681178.5
      </sumStat>
      <sumStat type="mean">
        2304.808
      </sumStat>
      <sumStat type="stdev">
        9459.548
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

if  NSC>NSS

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V309" name="HHID" files="F6" intrvl="discrete">
      <location StartPos="88" EndPos="95" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V188" name="ID" files="F6" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V189" name="RoundSchedule" files="F6" intrvl="discrete">
      <location StartPos="12" EndPos="14" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          561
        </catValu>
        <catStat type="freq">
          243446
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V190" name="SS_Original" files="F6" intrvl="discrete">
      <location StartPos="15" EndPos="15" width="1" RecSegNo="1"/>
      <labl>
        SS_Original
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V191" name="Sector" files="F6" intrvl="discrete">
      <location StartPos="16" EndPos="16" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        243446
      </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">
          83071
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          160375
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V192" name="State_region" files="F6" intrvl="discrete">
      <location StartPos="17" EndPos="19" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        243446
      </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="V214" name="State" files="F6" intrvl="discrete">
      <location StartPos="20" EndPos="21" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          14442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          1648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          7145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          11009
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          1097
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          12754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          6020
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          6183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          7218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          8789
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          8739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          13298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          22223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          3520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          2587
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          3397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          1954
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          6724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          11213
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          13873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          1012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          14613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          4258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          26422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          15171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          1266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          425
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          2802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          441
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          7314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chattisgarh
        </labl>
        <catStat type="freq">
          3045
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2095
        </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="V193" name="Stratum" files="F6" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        243446
      </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="V194" name="SubStratum" files="F6" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V195" name="District" files="F6" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V196" name="SubRound" files="F6" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          60718
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          60897
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          61170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          60661
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V197" name="SS_Revised" files="F6" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        SS Revised
      </labl>
      <sumStat type="vald">
        243446
      </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">
          85526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          157920
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V198" name="Vill_Blk_Slno" files="F6" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V199" name="SegmentNo" files="F6" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          197586
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          45860
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V200" name="Hhold_no" files="F6" intrvl="discrete">
      <location StartPos="35" EndPos="36" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V201" name="Survey_Code" files="F6" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <sumStat type="vald">
        243254
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          230767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          12430
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V202" name="Substn_Code" files="F6" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Substitution Code
      </labl>
      <sumStat type="vald">
        12537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          9482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          746
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V203" name="NSS" files="F6" intrvl="discrete">
      <location StartPos="39" EndPos="40" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V204" name="NSC" files="F6" intrvl="discrete">
      <location StartPos="41" EndPos="43" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V205" name="MULT_SS" files="F6" dcml="0" intrvl="contin">
      <location StartPos="44" EndPos="52" width="9" RecSegNo="1"/>
      <labl>
        MULT_SS
      </labl>
      <valrng>
        <range min="100" max="136235700"/>
      </valrng>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        136235700
      </sumStat>
      <sumStat type="mean">
        430590.409
      </sumStat>
      <sumStat type="stdev">
        1832520.332
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V206" name="MPCE_CODE" files="F6" intrvl="discrete">
      <location StartPos="53" EndPos="54" width="2" RecSegNo="1"/>
      <labl>
        MPCE_CODE
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V207" name="CMPCE_CODE" files="F6" intrvl="discrete">
      <location StartPos="55" EndPos="56" width="2" RecSegNo="1"/>
      <labl>
        CMPCE_CODE
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V208" name="B7_q1" files="F6" intrvl="discrete">
      <location StartPos="57" EndPos="59" width="3" RecSegNo="1"/>
      <labl>
        Footwear item code
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          leather boots, shoes
        </labl>
        <catStat type="freq">
          28136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          leather sandals, chappals etc.
        </labl>
        <catStat type="freq">
          34963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          other leather footwear
        </labl>
        <catStat type="freq">
          12443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          rubber / PVC footwear
        </labl>
        <catStat type="freq">
          65406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          other footwear
        </labl>
        <catStat type="freq">
          23280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          footwear: s.t. (390-394)
        </labl>
        <catStat type="freq">
          79218
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V209" name="B7_q3" files="F6" dcml="0" intrvl="contin">
      <location StartPos="60" EndPos="61" width="2" RecSegNo="1"/>
      <labl>
        No. of pairs
      </labl>
      <qstn>
        <qstnLit>
          How many pairs of the item were consumed by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="66"/>
      </valrng>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        66
      </sumStat>
      <sumStat type="mean">
        0.166
      </sumStat>
      <sumStat type="stdev">
        0.486
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V210" name="B7_q4" files="F6" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="66" width="5" RecSegNo="1"/>
      <labl>
        Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the value of the items consumed by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="11178"/>
      </valrng>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11178
      </sumStat>
      <sumStat type="mean">
        29.349
      </sumStat>
      <sumStat type="stdev">
        51.821
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V211" name="FoodCode" files="F6" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V212" name="OnUseOfDurable" files="F6" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        OnUseOfDurable
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V215" name="Wgt_SubSample" wgt="wgt" files="F6" dcml="2" intrvl="contin">
      <location StartPos="69" EndPos="78" width="10" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1362357"/>
      </valrng>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1362357
      </sumStat>
      <sumStat type="mean">
        4305.904
      </sumStat>
      <sumStat type="stdev">
        18325.203
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V216" name="Wgt_Combined" wgt="wgt" files="F6" dcml="2" intrvl="contin">
      <location StartPos="79" EndPos="87" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.5" max="681178.5"/>
      </valrng>
      <sumStat type="vald">
        243446
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        681178.5
      </sumStat>
      <sumStat type="mean">
        2153.91
      </sumStat>
      <sumStat type="stdev">
        9163.044
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

if  NSC>NSS

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V310" name="HHID" files="F7" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V217" name="ID" files="F7" intrvl="discrete">
      <location StartPos="9" EndPos="10" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V218" name="RoundSchedule" files="F7" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          561
        </catValu>
        <catStat type="freq">
          279144
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V219" name="SS_Original" files="F7" intrvl="discrete">
      <location StartPos="14" EndPos="14" width="1" RecSegNo="1"/>
      <labl>
        SS_Original
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V220" name="Sector" files="F7" intrvl="discrete">
      <location StartPos="15" EndPos="15" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        279144
      </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">
          92813
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          186331
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V221" name="State_region" files="F7" intrvl="discrete">
      <location StartPos="16" EndPos="18" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        279144
      </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="V242" name="State" files="F7" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          15916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          2116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          9528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          12571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          1182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          12700
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          5581
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          6237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          7468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          10528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          15072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          15397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          26884
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          5623
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          3046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          4121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          2693
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          9102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          11229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          12239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          778
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          17157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          6248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          27481
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          18284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          913
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          2426
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          8998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chattisgarh
        </labl>
        <catStat type="freq">
          3309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2577
        </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="V222" name="Stratum" files="F7" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        279144
      </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="V223" name="SubStratum" files="F7" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V224" name="District" files="F7" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V225" name="SubRound" files="F7" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          70623
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          70023
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          69854
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          68644
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V226" name="SS_Revised" files="F7" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        SS Revised
      </labl>
      <sumStat type="vald">
        279144
      </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">
          97569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          181575
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V227" name="Vill_Blk_Slno" files="F7" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V228" name="SegmentNo" files="F7" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          227495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          51649
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V229" name="Hhold_no" files="F7" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V230" name="Survey_Code" files="F7" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <sumStat type="vald">
        278963
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          264560
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          14351
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V231" name="Substn_Code" files="F7" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Substitution Code
      </labl>
      <sumStat type="vald">
        14569
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          911
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          10924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1900
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          801
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V232" name="NSS" files="F7" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V233" name="NSC" files="F7" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V234" name="MULT_SS" files="F7" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="51" width="9" RecSegNo="1"/>
      <labl>
        MULT_SS
      </labl>
      <valrng>
        <range min="100" max="136235700"/>
      </valrng>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        136235700
      </sumStat>
      <sumStat type="mean">
        425998.455
      </sumStat>
      <sumStat type="stdev">
        1794182.458
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V235" name="MPCE_CODE" files="F7" intrvl="discrete">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        MPCE_CODE
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V236" name="CMPCE_CODE" files="F7" intrvl="discrete">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        CMPCE_CODE
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V237" name="B8_1_q1" files="F7" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Block 8.1 item code
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          books, journals
        </labl>
        <catStat type="freq">
          45238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          newspapers, periodicals
        </labl>
        <catStat type="freq">
          13613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          library charges
        </labl>
        <catStat type="freq">
          1356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          stationery
        </labl>
        <catStat type="freq">
          46249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          tuition and other fees (school, college, etc.)
        </labl>
        <catStat type="freq">
          34163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          private tutor/coaching centre
        </labl>
        <catStat type="freq">
          12425
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          other educational expenses
        </labl>
        <catStat type="freq">
          24413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          education: s.t. (400-406)
        </labl>
        <catStat type="freq">
          53173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          medicine
        </labl>
        <catStat type="freq">
          12539
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          X-ray, ECG, pathological test etc.
        </labl>
        <catStat type="freq">
          4759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          doctor's/surgeon's fee
        </labl>
        <catStat type="freq">
          7966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          hospital &amp; nursing home charges
        </labl>
        <catStat type="freq">
          5093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          other medical expenses
        </labl>
        <catStat type="freq">
          4886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          medical - institutional: s.t. (410-414)
        </labl>
        <catStat type="freq">
          13271
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V238" name="B8_1_3" files="F7" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="66" width="8" RecSegNo="1"/>
      <labl>
        Value (Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          What was the value of the items consumed by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="53835.62"/>
      </valrng>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        53835.62
      </sumStat>
      <sumStat type="mean">
        123.765
      </sumStat>
      <sumStat type="stdev">
        400.671
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V239" name="FoodCode" files="F7" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V240" name="OnUseOfDurable" files="F7" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        OnUseOfDurable
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V243" name="Wgt_SubSample" wgt="wgt" files="F7" dcml="2" intrvl="contin">
      <location StartPos="69" EndPos="78" width="10" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1362357"/>
      </valrng>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1362357
      </sumStat>
      <sumStat type="mean">
        4259.985
      </sumStat>
      <sumStat type="stdev">
        17941.825
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V244" name="Wgt_Combined" wgt="wgt" files="F7" dcml="2" intrvl="contin">
      <location StartPos="79" EndPos="87" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.5" max="681178.5"/>
      </valrng>
      <sumStat type="vald">
        279144
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        681178.5
      </sumStat>
      <sumStat type="mean">
        2131.209
      </sumStat>
      <sumStat type="stdev">
        8971.624
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

if  NSC>NSS

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V311" name="HHID" files="F8" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V245" name="ID" files="F8" intrvl="discrete">
      <location StartPos="9" EndPos="10" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V246" name="RoundSchedule" files="F8" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          561
        </catValu>
        <catStat type="freq">
          1563537
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V247" name="SS_Original" files="F8" intrvl="discrete">
      <location StartPos="14" EndPos="14" width="1" RecSegNo="1"/>
      <labl>
        SS_Original
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V248" name="Sector" files="F8" intrvl="discrete">
      <location StartPos="15" EndPos="15" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        1563537
      </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">
          502668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          1060869
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V249" name="State_region" files="F8" intrvl="discrete">
      <location StartPos="16" EndPos="18" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        1563537
      </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="V270" name="State" files="F8" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          111963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          6977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          46598
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          70125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          6911
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          79942
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          28503
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          31727
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          37574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          67196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          66478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          85356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          157811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          18089
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          12947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          15039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          8577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          46400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          61897
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          70852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          4077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          130512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          25935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          159890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          98823
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          6313
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          2434
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          1969
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          2194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          18873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          1445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          3492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          46108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chattisgarh
        </labl>
        <catStat type="freq">
          18271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          12239
        </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="V250" name="Stratum" files="F8" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        1563537
      </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="V251" name="SubStratum" files="F8" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V252" name="District" files="F8" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V253" name="SubRound" files="F8" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          384349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          391665
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          394092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          393431
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V254" name="SS_Revised" files="F8" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        SS Revised
      </labl>
      <sumStat type="vald">
        1563537
      </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">
          547630
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          1015907
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V255" name="Vill_Blk_Slno" files="F8" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V256" name="SegmentNo" files="F8" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1271847
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          291690
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V257" name="Hhold_no" files="F8" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V258" name="Survey_Code" files="F8" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <sumStat type="vald">
        1562527
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1478015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          84200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V259" name="Substn_Code" files="F8" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Substitution Code
      </labl>
      <sumStat type="vald">
        85170
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          5000
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          64786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          10218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          4941
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V260" name="NSS" files="F8" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V261" name="NSC" files="F8" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V262" name="MULT_SS" files="F8" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="51" width="9" RecSegNo="1"/>
      <labl>
        MULT_SS
      </labl>
      <valrng>
        <range min="100" max="136235700"/>
      </valrng>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        136235700
      </sumStat>
      <sumStat type="mean">
        431080.785
      </sumStat>
      <sumStat type="stdev">
        1812710.243
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V263" name="MPCE_CODE" files="F8" intrvl="discrete">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        MPCE_CODE
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V264" name="CMPCE_CODE" files="F8" intrvl="discrete">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        CMPCE_CODE
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V265" name="B8_2_q1" files="F8" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Block 8.2 item code
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          medicine
        </labl>
        <catStat type="freq">
          52444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          X-ray, ECG, pathological test etc.
        </labl>
        <catStat type="freq">
          1944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          doctor's/surgeon's fee
        </labl>
        <catStat type="freq">
          20056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          family planning appliances
        </labl>
        <catStat type="freq">
          724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          other medical expenses
        </labl>
        <catStat type="freq">
          2940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          medical - non-institutional: s.t. (420-424)
        </labl>
        <catStat type="freq">
          53384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          cinema, theatre
        </labl>
        <catStat type="freq">
          11307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          mela, fair, picnic
        </labl>
        <catStat type="freq">
          1789
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          sports goods, toys etc.
        </labl>
        <catStat type="freq">
          2878
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          club fees
        </labl>
        <catStat type="freq">
          306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          goods for recreation and hobbies
        </labl>
        <catStat type="freq">
          446
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          photography
        </labl>
        <catStat type="freq">
          1372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          video cassette / V.C.R. / V.C.P.(hire)
        </labl>
        <catStat type="freq">
          857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          other entertainment
        </labl>
        <catStat type="freq">
          14367
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          entertainment : s.t. (430-437)
        </labl>
        <catStat type="freq">
          27077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          spectacles
        </labl>
        <catStat type="freq">
          448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          torch
        </labl>
        <catStat type="freq">
          768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          pen
        </labl>
        <catStat type="freq">
          9883
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          lock
        </labl>
        <catStat type="freq">
          977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          umbrella, raincoat
        </labl>
        <catStat type="freq">
          1424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          lighter (bidi/cigarette/gas stove)
        </labl>
        <catStat type="freq">
          1413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          other goods for personal care and effects
        </labl>
        <catStat type="freq">
          5004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          goods for personal care and effects: s.t. (440-446)
        </labl>
        <catStat type="freq">
          16379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          toilet soap
        </labl>
        <catStat type="freq">
          78867
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          toothbrush, toothpaste etc.
        </labl>
        <catStat type="freq">
          63823
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          powder, snow, cream, lotion
        </labl>
        <catStat type="freq">
          35122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          hair oil, shampoo, hair cream
        </labl>
        <catStat type="freq">
          71859
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          comb
        </labl>
        <catStat type="freq">
          4990
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          shaving blades, shaving stick, razor
        </labl>
        <catStat type="freq">
          44989
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          shaving cream
        </labl>
        <catStat type="freq">
          13696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          sanitary napkins
        </labl>
        <catStat type="freq">
          5517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          other toilet articles
        </labl>
        <catStat type="freq">
          23102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          toilet articles: s.t. (450-458)
        </labl>
        <catStat type="freq">
          81053
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          electric bulb, tubelight
        </labl>
        <catStat type="freq">
          18939
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          electric batteries
        </labl>
        <catStat type="freq">
          3663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          other non-durable electric goods
        </labl>
        <catStat type="freq">
          500
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          earthenware
        </labl>
        <catStat type="freq">
          6022
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          glassware
        </labl>
        <catStat type="freq">
          1610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          bucket, water bottle/feeding bottle &amp; other plastic goods
        </labl>
        <catStat type="freq">
          3851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          coir, rope etc.
        </labl>
        <catStat type="freq">
          1699
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          washing soap/soda
        </labl>
        <catStat type="freq">
          78747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          other washing requisites
        </labl>
        <catStat type="freq">
          38762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          agarbati
        </labl>
        <catStat type="freq">
          54766
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          flower(fresh) : all purposes
        </labl>
        <catStat type="freq">
          14151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          insecticide, acid etc.
        </labl>
        <catStat type="freq">
          8297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          other petty articles
        </labl>
        <catStat type="freq">
          23680
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          sundry articles: s.t. (460-473)
        </labl>
        <catStat type="freq">
          80909
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          domestic servant/cook
        </labl>
        <catStat type="freq">
          4153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          sweeper
        </labl>
        <catStat type="freq">
          5105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          barber, beautician etc.
        </labl>
        <catStat type="freq">
          59569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          washerman, laundry, ironing
        </labl>
        <catStat type="freq">
          12010
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          tailor
        </labl>
        <catStat type="freq">
          9257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          priest
        </labl>
        <catStat type="freq">
          7200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          486
        </catValu>
        <labl>
          legal expenses
        </labl>
        <catStat type="freq">
          289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          487
        </catValu>
        <labl>
          postage &amp; telegram
        </labl>
        <catStat type="freq">
          11703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          488
        </catValu>
        <labl>
          telephone charges
        </labl>
        <catStat type="freq">
          18872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          repair charges for non-durables
        </labl>
        <catStat type="freq">
          3145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          grinding charges
        </labl>
        <catStat type="freq">
          39105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          miscellaneous expenses
        </labl>
        <catStat type="freq">
          26284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          pet animals (incl. birds, fish)
        </labl>
        <catStat type="freq">
          2001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          other consumer services excluding conveyance
        </labl>
        <catStat type="freq">
          7976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          consumer services excluding conveyance: s.t. (480-494)
        </labl>
        <catStat type="freq">
          76040
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          airway fare
        </labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          railway fare
        </labl>
        <catStat type="freq">
          4690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          bus/tram fare
        </labl>
        <catStat type="freq">
          45406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          taxi, auto-rickshaw fare
        </labl>
        <catStat type="freq">
          14472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          steamer, boat fare
        </labl>
        <catStat type="freq">
          450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          rickshaw (hand drawn &amp; cycle) fare
        </labl>
        <catStat type="freq">
          7148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          horse cart fare
        </labl>
        <catStat type="freq">
          609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          porter charges
        </labl>
        <catStat type="freq">
          344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          petrol
        </labl>
        <catStat type="freq">
          11122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          diesel
        </labl>
        <catStat type="freq">
          456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          lubricating oil
        </labl>
        <catStat type="freq">
          4333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          school bus/van
        </labl>
        <catStat type="freq">
          1608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          other hired conveyance
        </labl>
        <catStat type="freq">
          1015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          conveyance : s.t. (500-513)
        </labl>
        <catStat type="freq">
          60360
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          house rent, garage rent (actual)
        </labl>
        <catStat type="freq">
          16134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          residential land rent
        </labl>
        <catStat type="freq">
          2296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          consumer rent (other goods)
        </labl>
        <catStat type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          rent: s.t. (520-522)
        </labl>
        <catStat type="freq">
          18666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          house rent, garage rent (imputed- urban only)
        </labl>
        <catStat type="freq">
          33955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          water charges
        </labl>
        <catStat type="freq">
          19414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          other consumer taxes &amp; cesses
        </labl>
        <catStat type="freq">
          20164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          549
        </catValu>
        <labl>
          consumer taxes and cesses s.t. (540-541)
        </labl>
        <catStat type="freq">
          30954
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V266" name="B8_2_q2" files="F8" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="67" width="9" RecSegNo="1"/>
      <labl>
        Value (Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          What was the value of the items consumed by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="560000"/>
      </valrng>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        560000
      </sumStat>
      <sumStat type="mean">
        104.211
      </sumStat>
      <sumStat type="stdev">
        568.377
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V267" name="FoodCode" files="F8" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V268" name="OnUseOfDurable" files="F8" intrvl="discrete">
      <location StartPos="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        OnUseOfDurable
      </labl>
      <sumStat type="vald">
        1
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V271" name="Wgt_SubSample" wgt="wgt" files="F8" dcml="2" intrvl="contin">
      <location StartPos="70" EndPos="79" width="10" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1362357"/>
      </valrng>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1362357
      </sumStat>
      <sumStat type="mean">
        4310.808
      </sumStat>
      <sumStat type="stdev">
        18127.102
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V272" name="Wgt_Combined" wgt="wgt" files="F8" dcml="2" intrvl="contin">
      <location StartPos="80" EndPos="88" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.5" max="681178.5"/>
      </valrng>
      <sumStat type="vald">
        1563537
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        681178.5
      </sumStat>
      <sumStat type="mean">
        2156.263
      </sumStat>
      <sumStat type="stdev">
        9063.958
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

if  NSC>NSS

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V312" name="HHID" files="F9" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V273" name="ID" files="F9" intrvl="discrete">
      <location StartPos="9" EndPos="10" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V274" name="RoundSchedule" files="F9" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          561
        </catValu>
        <catStat type="freq">
          902441
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V275" name="SS_Original" files="F9" intrvl="discrete">
      <location StartPos="14" EndPos="14" width="1" RecSegNo="1"/>
      <labl>
        SS_Original
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V276" name="Sector" files="F9" intrvl="discrete">
      <location StartPos="15" EndPos="15" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        902441
      </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">
          281282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          621159
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V277" name="State_region" files="F9" intrvl="discrete">
      <location StartPos="16" EndPos="18" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        902441
      </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="V300" name="State" files="F9" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          50899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          2937
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          31071
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          41359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          3776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          49842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          19873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          21279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          19141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          33002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          36762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          56253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          84633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          12210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          8983
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          2877
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          5486
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          29553
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          46123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          44275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          3028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          62135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          10756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          100358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          55124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          3891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          1623
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          1112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          1444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          11431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          1113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          1864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          27825
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Chattisgarh
        </labl>
        <catStat type="freq">
          12240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          8163
        </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="V278" name="Stratum" files="F9" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        902441
      </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="V279" name="SubStratum" files="F9" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V280" name="District" files="F9" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V281" name="SubRound" files="F9" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          218899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          224108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          227971
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          231463
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V282" name="SS_Revised" files="F9" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        SS Revised
      </labl>
      <sumStat type="vald">
        902441
      </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">
          315755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          586686
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V283" name="Vill_Blk_Slno" files="F9" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V284" name="SegmentNo" files="F9" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          736279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          166162
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V285" name="Hhold_no" files="F9" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V286" name="Survey_Code" files="F9" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <sumStat type="vald">
        901898
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          852707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          49015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V287" name="Substn_Code" files="F9" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Substitution Code
      </labl>
      <sumStat type="vald">
        49382
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2817
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          37269
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          6295
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          2884
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V288" name="NSS" files="F9" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V289" name="NSC" files="F9" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V290" name="MULT_SS" files="F9" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="51" width="9" RecSegNo="1"/>
      <labl>
        MULT_SS
      </labl>
      <valrng>
        <range min="100" max="136235700"/>
      </valrng>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        136235700
      </sumStat>
      <sumStat type="mean">
        425213.743
      </sumStat>
      <sumStat type="stdev">
        1795323.852
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V291" name="MPCE_CODE" files="F9" intrvl="discrete">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        MPCE_CODE
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V292" name="CMPCE_CODE" files="F9" intrvl="discrete">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        CMPCE_CODE
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V293" name="Item_Code" files="F9" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Block 9 item code
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          bedstead
        </labl>
        <catStat type="freq">
          68139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          almirah, dressing table
        </labl>
        <catStat type="freq">
          38200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          chair, stool, bench, table
        </labl>
        <catStat type="freq">
          55288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          suitcase, trunk, box, handbag and other travel goods
        </labl>
        <catStat type="freq">
          67196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          foam, rubber cushion (dunlopillo type)
        </labl>
        <catStat type="freq">
          6935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          555
        </catValu>
        <labl>
          carpet, daree &amp; other floor mattings
        </labl>
        <catStat type="freq">
          14959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          556
        </catValu>
        <labl>
          paintings, drawings, engravings etc.
        </labl>
        <catStat type="freq">
          4327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          557
        </catValu>
        <labl>
          other furniture &amp; fixtures (couch, sofa etc.)
        </labl>
        <catStat type="freq">
          483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          furniture &amp; fixtures: s.t. (550-557)
        </labl>
        <catStat type="freq">
          5217
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          gramophone &amp; record player
        </labl>
        <catStat type="freq">
          969
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          radio
        </labl>
        <catStat type="freq">
          23985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          television
        </labl>
        <catStat type="freq">
          38362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl>
          VCR/VCP
        </labl>
        <catStat type="freq">
          2157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          564
        </catValu>
        <labl>
          camera &amp; photographic equipment
        </labl>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          565
        </catValu>
        <labl>
          tape recorder, CD player
        </labl>
        <catStat type="freq">
          18234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          gramophone record, audio/video cassette
        </labl>
        <catStat type="freq">
          4478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          567
        </catValu>
        <labl>
          musical instruments
        </labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          568
        </catValu>
        <labl>
          other goods for recreation
        </labl>
        <catStat type="freq">
          252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          569
        </catValu>
        <labl>
          goods for recreation: s.t.(560-568)
        </labl>
        <catStat type="freq">
          10239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          gold ornaments
        </labl>
        <catStat type="freq">
          3158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          571
        </catValu>
        <labl>
          silver ornaments
        </labl>
        <catStat type="freq">
          2985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          572
        </catValu>
        <labl>
          jewels, pearls
        </labl>
        <catStat type="freq">
          163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          573
        </catValu>
        <labl>
          other ornaments
        </labl>
        <catStat type="freq">
          2625
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          579
        </catValu>
        <labl><![CDATA[jewellery and  ornaments: s.t. (570-573)]]></labl>
        <catStat type="freq">
          7591
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          stainless steel utensils
        </labl>
        <catStat type="freq">
          19889
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          other metal utensils
        </labl>
        <catStat type="freq">
          6550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          casseroles, thermos, thermoware
        </labl>
        <catStat type="freq">
          520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          other crockery &amp; utensils
        </labl>
        <catStat type="freq">
          9089
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          589
        </catValu>
        <labl>
          crockery &amp; utensils: s.t. (580-583)
        </labl>
        <catStat type="freq">
          28165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          590
        </catValu>
        <labl>
          electric fan
        </labl>
        <catStat type="freq">
          47795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          air conditioner, air cooler
        </labl>
        <catStat type="freq">
          7480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          lantern, lamp, electric lampshade
        </labl>
        <catStat type="freq">
          1042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          593
        </catValu>
        <labl>
          sewing machine
        </labl>
        <catStat type="freq">
          15309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          594
        </catValu>
        <labl>
          washing machine
        </labl>
        <catStat type="freq">
          4951
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          595
        </catValu>
        <labl>
          stove
        </labl>
        <catStat type="freq">
          43160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          596
        </catValu>
        <labl>
          pressure cooker/pressure pan
        </labl>
        <catStat type="freq">
          33796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          597
        </catValu>
        <labl>
          refrigerator
        </labl>
        <catStat type="freq">
          13516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          electric iron, heater, toaster, oven &amp; other electric heating appliances
        </labl>
        <catStat type="freq">
          866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          other cooking/household appliances
        </labl>
        <catStat type="freq">
          1752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          cooking and household appliances: s.t. (590-600)
        </labl>
        <catStat type="freq">
          16914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          bicycle
        </labl>
        <catStat type="freq">
          33201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          motor cycle, scooter
        </labl>
        <catStat type="freq">
          11424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          motor car, jeep
        </labl>
        <catStat type="freq">
          1712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          tyres &amp; tubes
        </labl>
        <catStat type="freq">
          9147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          other transport equipment
        </labl>
        <catStat type="freq">
          359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          personal transport equipment: s.t. (610-614)
        </labl>
        <catStat type="freq">
          34975
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          glass eyes, hearing aids &amp; orthopaedic equipment
        </labl>
        <catStat type="freq">
          428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          other medical equipment
        </labl>
        <catStat type="freq">
          83
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          629
        </catValu>
        <labl>
          therapeutic appliances : s.t. (620-621)
        </labl>
        <catStat type="freq">
          402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          clock, watch
        </labl>
        <catStat type="freq">
          56034
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          other machines for household work
        </labl>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          any other personal goods
        </labl>
        <catStat type="freq">
          480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl>
          other personal goods: s.t. (630-632)
        </labl>
        <catStat type="freq">
          8088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          bathroom and sanitary equipment
        </labl>
        <catStat type="freq">
          593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          plugs, switches &amp; other electrical fittings
        </labl>
        <catStat type="freq">
          2065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          residential building &amp; land (cost of repairs only)
        </labl>
        <catStat type="freq">
          25578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          other durables (specify)…................
        </labl>
        <catStat type="freq">
          778
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          residential building, land and other durables : s.t. (640-643)
        </labl>
        <catStat type="freq">
          27565
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl><![CDATA[durable  goods : total]]></labl>
        <catStat type="freq">
          62440
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V294" name="B9_q6" files="F9" dcml="0" intrvl="contin">
      <location StartPos="59" EndPos="63" width="5" RecSegNo="1"/>
      <labl>
        First hand value
      </labl>
      <qstn>
        <qstnLit>
          How much was the value of the first hand purchased item?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="36986"/>
      </valrng>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        36986
      </sumStat>
      <sumStat type="mean">
        22.372
      </sumStat>
      <sumStat type="stdev">
        336.693
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V295" name="B9_q9" files="F9" dcml="0" intrvl="contin">
      <location StartPos="64" EndPos="68" width="5" RecSegNo="1"/>
      <labl>
        Second hand value
      </labl>
      <qstn>
        <qstnLit>
          How much was the value of the second hand purchased item?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="13151"/>
      </valrng>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        13151
      </sumStat>
      <sumStat type="mean">
        1.047
      </sumStat>
      <sumStat type="stdev">
        71.718
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V296" name="B9_q10" files="F9" dcml="0" intrvl="contin">
      <location StartPos="69" EndPos="73" width="5" RecSegNo="1"/>
      <labl>
        Total value
      </labl>
      <qstn>
        <qstnLit>
          What was the value of the items consumed by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="36996"/>
      </valrng>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        36996
      </sumStat>
      <sumStat type="mean">
        35.935
      </sumStat>
      <sumStat type="stdev">
        363.809
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V297" name="FoodCode" files="F9" intrvl="discrete">
      <location StartPos="74" EndPos="74" width="1" RecSegNo="1"/>
      <labl>
        FoodCode
      </labl>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V298" name="OnUseOfDurable" files="F9" intrvl="discrete">
      <location StartPos="75" EndPos="77" width="3" RecSegNo="1"/>
      <labl>
        OnUseOfDurable
      </labl>
      <sumStat type="vald">
        605938
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V301" name="Wgt_SubSample" wgt="wgt" files="F9" dcml="2" intrvl="contin">
      <location StartPos="78" EndPos="87" width="10" RecSegNo="1"/>
      <labl>
        Sub sample Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1362357"/>
      </valrng>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1362357
      </sumStat>
      <sumStat type="mean">
        4252.137
      </sumStat>
      <sumStat type="stdev">
        17953.239
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V302" name="Wgt_Combined" wgt="wgt" files="F9" dcml="2" intrvl="contin">
      <location StartPos="88" EndPos="96" width="9" RecSegNo="1"/>
      <labl>
        Combined Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.5" max="681178.5"/>
      </valrng>
      <sumStat type="vald">
        902441
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        681178.5
      </sumStat>
      <sumStat type="mean">
        2126.728
      </sumStat>
      <sumStat type="stdev">
        8976.939
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

if  NSC>NSS

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