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        <titl>NSSO_55_Schedule_1_Household Consumer Expenditure</titl>
        <IDNo>DDI-IND-MOSPI-NSSO-55Rnd-Sch1-July1999-June2000</IDNo>
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    <citation>
      <titlStmt>
        <titl>Household Consumer Expenditure: NSS 55th Round, Schedule 1, July 1999 - June 2000</titl>
        <altTitl>
          NSS 55th Round
        </altTitl>
        <IDNo>DDI-IND-MOSPI-NSSO-55Rnd-Sch1-July1999-June2000</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI)">National Sample Survey Office</AuthEnty>
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            Governing council and Working Group
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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
        </producer>
        <producer abbr="CC, MOSPI" affiliation="M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI)" role="Tabulation and Dissemination">
          Computer Centre
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        <contact affiliation="M/O Statistics &amp; PI, G/O India " URI="http://mospi.gov.in/">ADG, SDRD , NSSO</contact>
        <contact affiliation="M/O Statistics &amp; PI, G/O India " URI="http://mospi.nic.in/Mospi_New/site/home.aspx">
          DDG, Computer Centre
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      <serStmt>
        <serName>
          Socio-Economic/Monitoring Survey [hh/sems]
        </serName>
        <serInfo><![CDATA[The National Sample Survey Organisation (NSSO) has been set up by the Government of India in 1950 to collect socio-economic data employing scientific sampling methods. The NSSO conducts regular consumer expenditure surveys as part of its "rounds", each round being normally of a year's duration and covering more than one subject of study. The surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country. Surveys on consumer expenditure are being conducted quinquennially on a large sample of households from the 27th round (October 1972 - September 1973) onwards. Apart from these quinquennial surveys, the NSSO collected information on consumer expenditure from a smaller sample of households since 42nd round (July 1986 - June 1987). Nowadays every round of NSS includes a consumer expenditure survey (CES), giving rise to an annual series of consumption data. The 55th round survey is the sixth quinquennial survey conducted during July 1999 - June 2000. Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. The imputed rent of owner-occupied houses is excluded from consumption expenditure. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure.  

The word "consumption" is used in different senses. The main reason for this is that some items can be used only once while others can be used repeatedly. A household consumer expenditure survey, therefore, needs to assign different meanings to consumption for different items. The NSS traditionally uses three different definitions or approaches to consumption of different items: Consumption approach, Expenditure approach and First-use approach. Items of consumption have been classified into four groups. The Consumption approach is used for Group I, the First-use approach for Group II and the Expenditure approach for Groups III and IV. The four groups of items are:

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

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

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

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

The household consumer expenditure schedule used for the survey collected information on quantity and value of household consumption with a reference period of "last 7 days & last 30 days" for some items of consumption and "last 365 days" for some less frequently purchased items. To minimise recall errors, a very detailed item classification was, as usual, adopted to collect information. The schedule also collected some other household particulars including age, sex and educational level of each household member.

The field work for the survey was conducted, as usual, by the Field Operations Division of the Organisation. The collected data were processed by the Data Processing Division of NSSO and tabulated by the Computer Centre of Department of Statistics. The reports have been prepared by Survey Design & Research Division (SDRD) of NSSO under the guidance of the Governing Council, NSSO.]]></serInfo>
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        <version date="2012-06-03"></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="1999-07-01" event="start" cycle="Sub Round 1"/>
        <collDate date="1999-09-30" event="end" cycle="Sub Round 1"/>
        <collDate date="1999-10-01" event="start" cycle="Sub Round 2"/>
        <collDate date="1999-12-31" event="end" cycle="Sub Round 2"/>
        <collDate date="2000-01-01" event="start" cycle="Sub Round 3"/>
        <collDate date="2000-03-31" event="end" cycle="Sub Round 3"/>
        <collDate date="2000-04-01" event="start" cycle="Sub Round 4"/>
        <collDate date="2000-06-30" event="end" cycle="Sub Round 4"/>
        <nation abbr="IND">India</nation>
        <geogCover>The survey covers the whole of the Indian Union excepting (i) Ladakh &amp; Kargil districts of Jammu &amp; Kashmir, (ii) interior villages of Nagaland situated beyond 5 kms. of a bus route &amp; (iii) villages of Andaman &amp; Nicobar Islands remaining inaccessible throughout the year. All the villages of the country, uninhabited according to 1991 census, are also left out of the survey coverage of the NSS 55th round.</geogCover>
        <anlyUnit>Randomly selected households  based on sampling procedure and members of the household</anlyUnit>
        <universe>The survey used the interview method of data collection from a sample of randomly selected households and members of the household.</universe>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
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      <notes><![CDATA[Schedule 1.0 of the 55th  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 have been 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 have been recorded for each member using one line for one member.

Block 5:  Consumption of food, pan, tobacco and intoxicants during  the  last  7 days and 30 days has been recorded in this block.

Block 5.1:  Consumption of fuel and light during  the  last  30 days has been recorded in this block.

Block 6: Consumption of clothing, bedding etc. during  the  last  365 days has been recorded in this block.

Block 7: Consumption of footwear during  the  365 days has been recorded in this block.

Block 8.1:  Expenditure on education & medical (institutional) goods and services during  the  last  365 days has been recorded in this block.

Block 8.2:  Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during  the  last  30 days has been recorded in this block.

Block 9: Expenditure for purchase and construction (including repair and  maintenance) of durable goods for domestic use during  the  last  365 days has been recorded in this block.

Block 10.1:  Particulars of production and consumption from kitchen garden, backyard etc.: 
This block is intended to collect information on quantity and value of each item produced in the kitchen garden during the agriculture year July 1998 - June 1999. This apart, information on item wise consumption made out of the produce  from kitchen garden during last 30 days preceding the date of survey has been collected irrespective of whether the item has been  produced during the agriculture year July 1998 - June 1999.

Block 10.2: Consumption of selected non-food items from home-produced stock:  
This block has been designed to collect information on consumption of some selected non-food items out of home-produced stock during last 30 days preceding the date of survey.

Block 11:  Purchase of selected commodities supplied through public distribution system: 
This block is designed to collect information on purchase of four commodities, namely, rice, wheat, sugar and kerosene through public distribution system and from other sources.

Block 12:  Perception of household regarding sufficiency of food: 
This block has been filled after completion of the enquiry on all the preceding blocks. This question is asked in order to know the perception of the household regarding sufficiency of food.  

Block 13 : Particulars of goods and services received as part of wages and salaries or perquisites and gifts given and gifts received by the household (only for non-food items): This block is restricted to non-food items only, that is, items 310 to 643 of detailed blocks. It has been designed to record the particu­lars of goods and services received as part of wages and salaries or perquisites and gifts given and gifts received by the house­hold during the last 30 days prior to the date of survey.

Block 14: Summary of consumer expenditure: 
This block is meant to derive the value of household per capita consumption expenditure for a period of 30 days.

Block 15: Remarks by investigator: 
Any remark which is considered necessary for explaining any peculiarity in the consumption pattern of the household or any other characteristic of the household has been noted here. Such remarks help understanding the entries made in different blocks of the schedule, especially when any entry is very high or very low.

Block 16: Remarks by supervisory officer: 
The supervisory officers note their views on any aspect relating to the household and on any observed peculiarity in the consumption pattern of the household in this block.]]></notes>
      <subject>
        <keyword>Household</keyword>
        <keyword>Consumer Expenditure</keyword>
        <keyword>55th Round</keyword>
        <keyword>Schedule 1</keyword>
        <keyword>July 1999 - June 2000</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 enterprises for schedule 2.0 and households for schedule 1.0/ 10/ 10.1, 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):  
A total number of 10,384 FSU's were selected for survey in the central sample at all-India level (rural &amp; urban combined) in the 55th round. For state samples, there were matching sample size as per the usual matching pattern being followed over the last few rounds. 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 55th  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

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 have been 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 have been recorded for each member using one line for one member.

Block 5:  Consumption of food, pan, tobacco and intoxicants during  the  last  7 days and 30 days has been recorded in this block.

Block 5.1:  Consumption of fuel and light during  the  last  30 days has been recorded in this block.

Block 6: Consumption of clothing, bedding etc. during  the  last  365 days has been recorded in this block.

Block 7: Consumption of footwear during  the  365 days has been recorded in this block.

Block 8.1:  Expenditure on education & medical (institutional) goods and services during  the  last  365 days has been recorded in this block.

Block 8.2:  Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during  the  last  30 days has been recorded in this block.

Block 9: Expenditure for purchase and construction (including repair and  maintenance) of durable goods for domestic use during  the  last  365 days has been recorded in this block.

Block 10.1:  Particulars of production and consumption from kitchen garden, backyard etc.: 
This block is intended to collect information on quantity and value of each item produced in the kitchen garden during the agriculture year July 1998 - June 1999. This apart, information on item wise consumption made out of the produce  from kitchen garden during last 30 days preceding the date of survey has been collected irrespective of whether the item has been  produced during the agriculture year July 1998 - June 1999.

Block 10.2: Consumption of selected non-food items from home-produced stock:  
This block has been designed to collect information on consumption of some selected non-food items out of home-produced stock during last 30 days preceding the date of survey.

Block 11:  Purchase of selected commodities supplied through public distribution system: 
This block is designed to collect information on purchase of four commodities, namely, rice, wheat, sugar and kerosene through public distribution system and from other sources.

Block 12:  Perception of household regarding sufficiency of food: 
This block has been filled after completion of the enquiry on all the preceding blocks. This question is asked in order to know the perception of the household regarding sufficiency of food.  

Block 13 : Particulars of goods and services received as part of wages and salaries or perquisites and gifts given and gifts received by the household (only for non-food items): This block is restricted to non-food items only, that is, items 310 to 643 of detailed blocks. It has been designed to record the particu­lars of goods and services received as part of wages and salaries or perquisites and gifts given and gifts received by the house­hold during the last 30 days prior to the date of survey.

Block 14: Summary of consumer expenditure: 
This block is meant to derive the value of household per capita consumption expenditure for a period of 30 days.

Block 15: Remarks by investigator: 
Any remark which is considered necessary for explaining any peculiarity in the consumption pattern of the household or any other characteristic of the household has been noted here. Such remarks help understanding the entries made in different blocks of the schedule, especially when any entry is very high or very low.

Block 16: Remarks by supervisory officer: 
The supervisory officers note their views on any aspect relating to the household and on any observed peculiarity in the consumption pattern of the household in this block.]]></resInstru>
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          Computer Centre
        </contact>
        <conditions>
          Validated unit level data relating to various survey rounds are available on CD-ROMS which can be obtained from the Deputy Director General, Computer Centre, M/O Statistics and PI, East Block No. 10 R.K. Puram, New Delhi-110066 by remitting the price along with packaging and postal charges as well as giving an undertaking duly signed in a specified format.The amount is to be remitted by way of demand draft drawn in favour of Pay &amp; Accounts Officer, Ministry of Statistics &amp; Programme Implementation, payable at New Delhi.
        </conditions>
        <disclaimer>
          The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
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    </fileTxt>
  </fileDscr>
  <fileDscr ID="F10" URI="NSSO_55_Schedule_1_Consumer_Expenditure.Nesstar?Index=9&amp;Name=Block 10pt2_Monthly household consumption of selected non-food items from home-produced stock">
    <fileTxt>
      <fileName>
        Block 10pt2_Monthly household consumption of selected non-food items from home-produced stock.NSDstat
      </fileName>
      <fileCont>
        Monthly household consumption of selected non-food items from home-produced stock has been recorded in this block.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V400"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          240618
        </caseQnty>
        <varQnty>
          56
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F11" URI="NSSO_55_Schedule_1_Consumer_Expenditure.Nesstar?Index=10&amp;Name=Block 11_Monthly household purchase of selected commodities supplied through PDS">
    <fileTxt>
      <fileName>
        Block 11_Monthly household purchase of selected commodities supplied through PDS.NSDstat
      </fileName>
      <fileCont><![CDATA[Monthly household purchase of selected commodities supplied through public distribution system (P.D.S.)  has been recorded in this block.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V456"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          120310
        </caseQnty>
        <varQnty>
          54
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F12" URI="NSSO_55_Schedule_1_Consumer_Expenditure.Nesstar?Index=11&amp;Name=Block 13_Non-food items received as part of wages and salaries or perquisites  and gifts given and gifts received by the household">
    <fileTxt>
      <fileName><![CDATA[Block 13_Non-food items received as part of wages and salaries or perquisites  and gifts given and gifts received by the household.NSDstat]]></fileName>
      <fileCont><![CDATA[Particulars of goods and services received as part of wages and salaries or perquisites  and gifts given and gifts received by the household during the last 30 days (only for  non-food items)  have been recorded in this block.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V479 V488"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          227625
        </caseQnty>
        <varQnty>
          30
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="record" var="V3 V4 V70 V5 V6 V9 V11 V12">
      <labl>
        Geographical identifiers
      </labl>
    </varGrp>
    <var ID="V69" name="HHID" files="F1" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a household
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for uniquely identifying  a  household by combining serial no. of  Village/Block, visit number, segment number, 2nd stg strm and  Sample Household Number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1" name="ID" files="F1" intrvl="discrete">
      <location StartPos="12" EndPos="13" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          W1
        </catValu>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2" name="RoundSchedule" files="F1" intrvl="discrete">
      <location StartPos="14" EndPos="16" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          551
        </catValu>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V3" name="Sector" files="F1" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        120309
      </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">
          71385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          48924
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="State_region" files="F1" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V70" name="State" files="F1" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          8987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          1060
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          4314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          9590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          5243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          1890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          2581
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          2480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          5233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          4619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          8289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          9355
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          1403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          1317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          1286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          4527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          4035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          5214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          1344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          8385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          1600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          14070
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          7982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          1268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          672
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V5" name="Stratum" files="F1" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V6" name="District" files="F1" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V7" name="SubRound" files="F1" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        120309
      </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">
          30014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          30055
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          30210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          30030
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V8" name="SubSample" files="F1" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        120309
      </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>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V9" name="Vill_Blk_Slno" files="F1" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="VisitNo" files="F1" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Visit Number
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V11" name="SegmentNo" files="F1" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V12" name="Stage2_Stratum" files="F1" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V13" name="Hhold_no" files="F1" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V14" name="Survey_Code" files="F1" intrvl="discrete">
      <location StartPos="40" EndPos="40" 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, 15 and 16 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">
        120182
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Original household surveyed
        </labl>
        <catStat type="freq">
          117339
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Substitute household surveyed
        </labl>
        <catStat type="freq">
          2833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Casualty (nothing surveyed)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V15" name="Substn_Code" files="F1" intrvl="discrete">
      <location StartPos="41" EndPos="41" 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 19 in terms of the specified codes.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        3138
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Informant busy
        </labl>
        <catStat type="freq">
          502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Members away from home
        </labl>
        <catStat type="freq">
          2105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Informant non-cooperative
        </labl>
        <catStat type="freq">
          358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          173
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V16" name="NSS" files="F1" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <valrng>
        <range min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        2.358
      </sumStat>
      <sumStat type="stdev">
        2.311
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V17" name="NSC" files="F1" dcml="0" intrvl="contin">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <valrng>
        <range min="1" max="30"/>
      </valrng>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        4.707
      </sumStat>
      <sumStat type="stdev">
        4.622
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V18" name="MULT" files="F1" dcml="0" intrvl="contin">
      <location StartPos="46" EndPos="53" width="8" RecSegNo="1"/>
      <labl>
        MULT
      </labl>
      <valrng>
        <range min="706" max="54939088"/>
      </valrng>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        706
      </sumStat>
      <sumStat type="max">
        54939088
      </sumStat>
      <sumStat type="mean">
        1250806.491
      </sumStat>
      <sumStat type="stdev">
        1318357.125
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V19" name="ss_replicate" files="F1" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        ss-replicate
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V680" name="mpce30" files="F1" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="60" width="6" RecSegNo="1"/>
      <labl>
        mpce30
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Household consumer expenditure : 
The expenditure incurred by a household on domestic consumption during the reference period is the household's consumer expenditure. The household consumer expenditure is the total of the monetary values of consumption of various groups of items namely (i) food, pan (betel leaves), tobacco, intoxicants and fuel & light, (ii) clothing and footwear and (iii) miscellaneous goods and services and durable articles.

Monthly per capita expenditure (MPCE) : 
For a household, this is household consumer expenditure over a period of 30 days divided by household size. A person's MPCE is understood as that of the household to which he/she belongs.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V681" name="mpce7" files="F1" dcml="0" intrvl="contin">
      <location StartPos="61" EndPos="66" width="6" RecSegNo="1"/>
      <labl>
        mpce7
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V492" name="B3_q1" files="F1" dcml="0" intrvl="contin">
      <location StartPos="67" EndPos="68" 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">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Household : 

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


Household size : 
The size of a household is the total number of persons in the household.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V56" name="B3_q2" files="F1" intrvl="discrete">
      <location StartPos="69" EndPos="73" width="5" RecSegNo="1"/>
      <labl>
        NIC
      </labl>
      <qstn>
        <qstnLit>
          Which industry are the members working in?
        </qstnLit>
        <ivuInstr>
          The description of the principal household industry will be recorded in the space provided. The entry cell for item 2 has been split for recording each digit separately. The appropriate five-digit industry code of the NIC 1998 will be recorded here.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        112893
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V57" name="B3_q3" files="F1" intrvl="discrete">
      <location StartPos="74" EndPos="76" width="3" RecSegNo="1"/>
      <labl>
        NCO
      </labl>
      <qstn>
        <qstnLit>
          Which occupation are the members in?
        </qstnLit>
        <ivuInstr>
          The description of the principal household occupation will be recorded in the space provided. The appropriate three-digit occupation code of the NCO 1968 is to be recorded in the entry cell which has been trisected for recording each digit separately.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        112794
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V23" name="B3_q4" files="F1" intrvl="discrete">
      <location StartPos="77" EndPos="77" 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">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V71" name="HH_Type" files="F1" intrvl="discrete">
      <location StartPos="78" EndPos="79" width="2" RecSegNo="1"/>
      <labl>
        Sector wise household type
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          invalid - rural
        </labl>
        <catStat type="freq">
          138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          self-employed in non-agriculture - rural
        </labl>
        <catStat type="freq">
          10385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          agricultural labour - rural
        </labl>
        <catStat type="freq">
          18698
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[other labour  - rural ]]></labl>
        <catStat type="freq">
          5390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          self-employed in agriculture - rural
        </labl>
        <catStat type="freq">
          27134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Others - rural
        </labl>
        <catStat type="freq">
          9640
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          invalid - urban
        </labl>
        <catStat type="freq">
          165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          self-employed - urban
        </labl>
        <catStat type="freq">
          17626
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          regular wage/salary earning - urban
        </labl>
        <catStat type="freq">
          20359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          casual labour - urban
        </labl>
        <catStat type="freq">
          6024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Others - urban
        </labl>
        <catStat type="freq">
          4750
        </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="80" EndPos="80" 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">
        120192
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Hinduism
        </labl>
        <catStat type="freq">
          93514
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Islam
        </labl>
        <catStat type="freq">
          14607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Christianity
        </labl>
        <catStat type="freq">
          6517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sikhism
        </labl>
        <catStat type="freq">
          2891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Jainism
        </labl>
        <catStat type="freq">
          489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Buddhism
        </labl>
        <catStat type="freq">
          1179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Zoroastrianism
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          967
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V25" name="B3_q6" files="F1" intrvl="discrete">
      <location StartPos="81" EndPos="81" 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">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Scheduled Tribe
        </labl>
        <catStat type="freq">
          13326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Scheduled Caste
        </labl>
        <catStat type="freq">
          18740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other backward castes
        </labl>
        <catStat type="freq">
          38389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          49634
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V58" name="B3_q7" files="F1" intrvl="discrete">
      <location StartPos="82" EndPos="82" width="1" RecSegNo="1"/>
      <labl>
        Whether owns any land
      </labl>
      <qstn>
        <qstnLit>
          Whether household owns any land?
        </qstnLit>
        <ivuInstr><![CDATA[Code 1 or 2 will be recorded against this item depend­ing on whether the household owns any land or not as on the date of survey.

A piece of land is considered  'owned by the household' if perma­nent heritable possession with or without the right to transfer the title is vested in a member or members of the household.  Land held in owner-like possession under long-term lease or as­signment is also considered as land owned. Thus, in determining the ownership of a plot of land, two basic concepts are involved, namely, 

     (a)  Land owned by the household i.e., land on which the household has the right of permanent heritable possession with or without the right to transfer the title e.g., Pattadars, Bhumi­dars, Jenmons, Bhumiswamis, Rayat, Sithibans etc. A plot of land may be leased out to others by the owner without losing the right of permanent heritable possession.
      (b)  Land held under special conditions such as the holder does not possess the title of ownership but the right for long-term possession of the land (for example, land possessed under perpetual lease, hereditary tenure and long-term lease for 30 years or more) will be considered as being held under owner-like possession.  In the states where land reform legislation has provided for full proprietorship to erstwhile tenants, they are to be considered as having owner-like possession, even if they have not paid the full compensation.

 Sometimes a plot may be possessed by a tribal in accor­dance with traditional tribal rights from local chieftains or village/district council. Again a plot may be occupied by a tenant for which the right of ownership vests in the community. In both the cases the tribal or other individual (tenant) will be taken as owner; for in all such cases, the holder has owner-like possession of the land in question.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        119780
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          97941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          21637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V59" name="B3_q8" files="F1" intrvl="discrete">
      <location StartPos="83" EndPos="83" width="1" RecSegNo="1"/>
      <labl>
        Type of land owned
      </labl>
      <qstn>
        <ivuInstr><![CDATA[Homestead of household is defined as the dwelling house of the household together with any courtyard, compound, garden, out-house, place of working, family courtyard, guest-house, shop, workshop/offices for running household enterprises, tanks, wells, latrine, drains and boundary walls which are annexed to the dwelling house. All land coming under homestead is defined as homestead land.

Codes will be recorded against the item depending on the type of land owned. If the household owns only homestead and no other land, the appropriate code will be 1. But, if the house­hold owns some other piece of land along with homestead land, code 2 will be entered against this item. Code 3 will be appli­cable when a household owns a piece of land but not the homestead land.

Note:   Gardens, orchards or plantation annexed to the dwelling house should also be covered under homestead land. (This is a deviation from the 50th round.)]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        98264
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          homestead only
        </labl>
        <catStat type="freq">
          47520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          homestead &amp; other land
        </labl>
        <catStat type="freq">
          49530
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          other land only
        </labl>
        <catStat type="freq">
          1106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          108
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V60" name="B3_q9" files="F1" dcml="2" intrvl="contin">
      <location StartPos="84" EndPos="89" width="6" RecSegNo="1"/>
      <labl>
        Land owned (0.00 hectares)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="300.4"/>
      </valrng>
      <sumStat type="vald">
        11147
      </sumStat>
      <sumStat type="invd">
        109162
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        300.4
      </sumStat>
      <sumStat type="mean">
        12.935
      </sumStat>
      <sumStat type="stdev">
        46.468
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V61" name="B3_q10" files="F1" dcml="2" intrvl="contin">
      <location StartPos="90" EndPos="94" width="5" RecSegNo="1"/>
      <labl>
        Land leased in (0.00 hectares)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="38.25"/>
      </valrng>
      <sumStat type="vald">
        21164
      </sumStat>
      <sumStat type="invd">
        99145
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        38.25
      </sumStat>
      <sumStat type="mean">
        0.181
      </sumStat>
      <sumStat type="stdev">
        0.784
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V62" name="B3_q11" files="F1" dcml="2" intrvl="contin">
      <location StartPos="95" EndPos="98" width="4" RecSegNo="1"/>
      <labl>
        Land neither owned nor leased in (0.00 hectares)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8.5"/>
      </valrng>
      <sumStat type="vald">
        10570
      </sumStat>
      <sumStat type="invd">
        109739
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8.5
      </sumStat>
      <sumStat type="mean">
        0.075
      </sumStat>
      <sumStat type="stdev">
        0.354
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V63" name="B3_q12" files="F1" dcml="2" intrvl="contin">
      <location StartPos="99" EndPos="103" width="5" RecSegNo="1"/>
      <labl>
        Land leased out (0.00 hectares)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="48"/>
      </valrng>
      <sumStat type="vald">
        10188
      </sumStat>
      <sumStat type="invd">
        110121
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        48
      </sumStat>
      <sumStat type="mean">
        0.409
      </sumStat>
      <sumStat type="stdev">
        1.426
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V26" name="B3_q13" files="F1" dcml="2" intrvl="contin">
      <location StartPos="104" EndPos="111" width="8" RecSegNo="1"/>
      <labl>
        Total Land Possessed (0.00 hectares)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The total area of land possessed by the household will be worked out as item 9 + item 10 + item 11 - item 12 and recorded against item 13 in 2 places of decimals.

Note: If land is owned/cultivated jointly by two or more households, then land may be apportioned in consultation with the informant.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="21237"/>
      </valrng>
      <sumStat type="vald">
        107255
      </sumStat>
      <sumStat type="invd">
        13054
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        21237
      </sumStat>
      <sumStat type="mean">
        84.023
      </sumStat>
      <sumStat type="stdev">
        258.724
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V64" name="B3_q14" files="F1" dcml="2" intrvl="contin">
      <location StartPos="112" EndPos="117" width="6" RecSegNo="1"/>
      <labl>
        Total Cultivated Land
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="160"/>
      </valrng>
      <sumStat type="vald">
        56455
      </sumStat>
      <sumStat type="invd">
        63854
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        160
      </sumStat>
      <sumStat type="mean">
        1.326
      </sumStat>
      <sumStat type="stdev">
        2.772
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V65" name="B3_q15" files="F1" dcml="2" intrvl="contin">
      <location StartPos="118" EndPos="123" width="6" RecSegNo="1"/>
      <labl>
        Land Irrigated
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="160"/>
      </valrng>
      <sumStat type="vald">
        37981
      </sumStat>
      <sumStat type="invd">
        82328
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        160
      </sumStat>
      <sumStat type="mean">
        0.997
      </sumStat>
      <sumStat type="stdev">
        2.204
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="B3_q16" files="F1" intrvl="discrete">
      <location StartPos="124" EndPos="124" width="1" RecSegNo="1"/>
      <labl>
        Does the household possess a kitchen garden
      </labl>
      <qstn>
        <ivuInstr>
          If the sample household possessed any homestead land and also grew any vegetable, crop, fruit etc. in that land during the agriculture year 1998-99, then the household will be considered to possess a kitchen garden. The entry will be recorded in codes - for affirmative answer code 1 and for negative answer code 2 will be recorded.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        118542
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          15368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          103174
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V27" name="B3_q17" files="F1" intrvl="discrete">
      <location StartPos="125" EndPos="126" 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">
        120066
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl><![CDATA[  coke, coal]]></labl>
        <catStat type="freq">
          3114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[  firewood and chips]]></labl>
        <catStat type="freq">
          63957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[  LPG]]></labl>
        <catStat type="freq">
          29054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[  gobar gas]]></labl>
        <catStat type="freq">
          328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[  dung cake]]></labl>
        <catStat type="freq">
          7814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[  charcoal]]></labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[  kerosene]]></labl>
        <catStat type="freq">
          11325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[  electricity]]></labl>
        <catStat type="freq">
          254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[  others]]></labl>
        <catStat type="freq">
          1828
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[  no cooking arrangement]]></labl>
        <catStat type="freq">
          2245
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V28" name="B3_q18" files="F1" intrvl="discrete">
      <location StartPos="127" EndPos="127" 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">
        119998
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          kerosene
        </labl>
        <catStat type="freq">
          36975
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          other oil
        </labl>
        <catStat type="freq">
          258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          gas
        </labl>
        <catStat type="freq">
          129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          candle
        </labl>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          electricity
        </labl>
        <catStat type="freq">
          81819
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          no lighting arrangement
        </labl>
        <catStat type="freq">
          521
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V29" name="B3_q19" files="F1" intrvl="discrete">
      <location StartPos="128" EndPos="128" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Assistance from IRDP
      </labl>
      <qstn>
        <qstnLit>
          Whether household received any income from assistance from IRDP?
        </qstnLit>
        <ivuInstr><![CDATA[The answer to this question will be recorded in code. If the household has not received any assistance from IRDP during the last 5 years, code 1 will be recorded. For yes, the codes are: milch animal - 2, draught animal - 3, sheep/goat - 4, pumpset - 5, for fish-pond - 6, sewing machine - 7, others: agricultural tools & equipment -8, others - 9.

Note 1: If household 'A' received IRDP assistance but household 'B' has utilized it then household 'A' will be treated as having received the assistance.
        2: If a household gets IRDP assistance for more than once during the reference period, the code for which received last will be given.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        119545
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Integrated Rural Development Programme (IRDP) is one of the Indian Government's main poverty alleviation programmes in the field of rural development. Its object is the uplift of rural families identified as poor. The objective is sought to be achieved by providing productive assets and inputs to target groups. The assets are provided through financial assistance in the form of subsidy from the Government and term credit advance by financial institutions. The programme is implemented in all the community development blocks in the country.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          113833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          yes: milch animal
        </labl>
        <catStat type="freq">
          3968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          yes: draught animal
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          yes: sheep/goat
        </labl>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          yes: pumpset
        </labl>
        <catStat type="freq">
          183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          yes: for fish-pond
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          yes: sewing machine
        </labl>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          yes: others: agricultural tools &amp; equipment
        </labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          yes: others
        </labl>
        <catStat type="freq">
          1101
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V30" name="B3_q20" files="F1" intrvl="discrete">
      <location StartPos="129" EndPos="129" width="1" RecSegNo="1"/>
      <labl>
        Did any member work for 60 days on public works
      </labl>
      <qstn>
        <qstnLit>
          Did any member work for 60 days on public works?
        </qstnLit>
        <ivuInstr>
          The entry will be made against this item in terms of code, '1' for 'yes' and '2' for 'no'. Public works cover construction of roads, dams, bunds, digging of ponds etc. as test relief measures, national wage-employment schemes such as National Rural Employment Programme (NREP), Rural Landless Employment Guarantee Programme (RLEGP), Jawahar Rozgar Yojana (JRY), Minimum Needs Programme (MNP) etc.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        119714
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          3314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          116400
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V31" name="B3_q21" files="F1" intrvl="discrete">
      <location StartPos="130" EndPos="130" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Cultivation
      </labl>
      <qstn>
        <qstnLit>
          Whether household received any income from cultivation?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        119849
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          47820
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          72029
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V32" name="B3_q22" files="F1" intrvl="discrete">
      <location StartPos="131" EndPos="131" width="1" RecSegNo="1"/>
      <labl><![CDATA[HH Recd Any Income from Fishing /Other  Agricultural Enterprises]]></labl>
      <qstn>
        <qstnLit>
          Whether household received any income from fishing or other agricultural enterprise?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        119785
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          14239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          105546
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V33" name="B3_q23" files="F1" intrvl="discrete">
      <location StartPos="132" EndPos="132" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from wage salaried enterprise
      </labl>
      <qstn>
        <qstnLit>
          Whether household received any income from wage salaried enterprise?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        119857
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          63800
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          56057
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V34" name="B3_q24" files="F1" intrvl="discrete">
      <location StartPos="133" EndPos="133" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from non agricultural enterprise
      </labl>
      <qstn>
        <qstnLit>
          Whether household received any income from non agricultural enterprise?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        119815
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          32350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          87465
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V35" name="B3_q25" files="F1" intrvl="discrete">
      <location StartPos="134" EndPos="134" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Pension
      </labl>
      <qstn>
        <qstnLit>
          Whether household received any income from pension?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        119783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          5697
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          114086
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V36" name="B3_q26" files="F1" intrvl="discrete">
      <location StartPos="135" EndPos="135" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Rent
      </labl>
      <qstn>
        <qstnLit>
          Whether household received any income from rent?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        119779
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          3457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          116322
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V37" name="B3_q27" files="F1" intrvl="discrete">
      <location StartPos="136" EndPos="136" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Remittance
      </labl>
      <qstn>
        <qstnLit>
          Whether household received any income from remittance?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        119783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          9359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          110424
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V38" name="B3_q28" files="F1" intrvl="discrete">
      <location StartPos="137" EndPos="137" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Interest &amp; Dividends
      </labl>
      <qstn>
        <qstnLit>
          Whether household received any income from interest and dividends?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        119768
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          6209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          113559
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V39" name="B3_q29" files="F1" intrvl="discrete">
      <location StartPos="138" EndPos="138" width="1" RecSegNo="1"/>
      <labl>
        HH Recd Any Income from Others
      </labl>
      <qstn>
        <qstnLit>
          Whether household received any income from other sources?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        119435
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          11781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          107654
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V40" name="B12_q1" files="F1" intrvl="discrete">
      <location StartPos="139" EndPos="139" 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">
        119700
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes: throughout the year
        </labl>
        <catStat type="freq">
          117059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          some months of the year
        </labl>
        <catStat type="freq">
          1965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          676
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V41" name="B12_q2_1" files="F1" intrvl="discrete">
      <location StartPos="140" EndPos="141" 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">
        177
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          177
        </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="V42" name="B12_q2_2" files="F1" intrvl="discrete">
      <location StartPos="142" EndPos="143" 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">
        153
      </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">
          153
        </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="V43" name="B12_q2_3" files="F1" intrvl="discrete">
      <location StartPos="144" EndPos="145" 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">
        194
      </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">
          194
        </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="V44" name="B12_q2_4" files="F1" intrvl="discrete">
      <location StartPos="146" EndPos="147" 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">
        324
      </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">
          324
        </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="V45" name="B12_q2_5" files="F1" intrvl="discrete">
      <location StartPos="148" EndPos="149" 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">
        490
      </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">
          490
        </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="V46" name="B12_q2_6" files="F1" intrvl="discrete">
      <location StartPos="150" EndPos="151" 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">
        731
      </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">
          731
        </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="V47" name="B12_q2_7" files="F1" intrvl="discrete">
      <location StartPos="152" EndPos="153" 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">
        953
      </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">
          953
        </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="V48" name="B12_q2_8" files="F1" intrvl="discrete">
      <location StartPos="154" EndPos="155" 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">
        967
      </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">
          967
        </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="V49" name="B12_q2_9" files="F1" intrvl="discrete">
      <location StartPos="156" EndPos="157" 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">
        744
      </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">
          744
        </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="V50" name="B12_q2_10" files="F1" intrvl="discrete">
      <location StartPos="158" EndPos="159" 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">
        485
      </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">
          485
        </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="V51" name="B12_q2_11" files="F1" intrvl="discrete">
      <location StartPos="160" EndPos="161" 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">
        245
      </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">
          245
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V52" name="B12_q2_12" files="F1" intrvl="discrete">
      <location StartPos="162" EndPos="163" 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">
        124
      </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">
          124
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V53" name="TotalNoMonthsNotEnoughFood" files="F1" dcml="0" intrvl="contin">
      <location StartPos="164" EndPos="165" width="2" RecSegNo="1"/>
      <labl>
        Total number of months when not enough food
      </labl>
      <valrng>
        <range min="0" max="12"/>
      </valrng>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V54" name="B12_q3" files="F1" intrvl="discrete">
      <location StartPos="166" EndPos="166" 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">
        119667
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          69104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          50563
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V55" name="tmcnv" files="F1" intrvl="discrete">
      <location StartPos="167" EndPos="169" width="3" RecSegNo="1"/>
      <labl>
        tmcnv
      </labl>
      <sumStat type="vald">
        118312
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V67" name="MPC_Code_R_U" files="F1" intrvl="discrete">
      <location StartPos="170" EndPos="171" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(R/U)
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

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

          RURAL 			URBAN
           (Rs.) 			  (Rs.)
1.        0 -  220 		    	0 - 290
2.     220 - 250 			290 - 330
3.     250 - 290			330 - 405
4.     290 - 330			405 - 480
5.     330 - 370			480 - 550
6.     370 - 410			550 - 630
7.     410 - 460			630 - 735
8.     460 - 515 			735 - 855
9.     515 - 605 			855 - 1040
10.   605 - 765 	                              1040 - 1315
11.   765 - 945 	                              1315 - 1535
12.   945 & above 	                              1535 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V68" name="MPC_Code_Combined" files="F1" intrvl="discrete">
      <location StartPos="172" EndPos="173" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(COMB)
      </labl>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V72" name="Wgt_SubSample" wgt="wgt" files="F1" dcml="2" intrvl="contin">
      <location StartPos="174" EndPos="182" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub Sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.765" max="137347.72"/>
      </valrng>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.765
      </sumStat>
      <sumStat type="max">
        137347.72
      </sumStat>
      <sumStat type="mean">
        3127.053
      </sumStat>
      <sumStat type="stdev">
        3295.859
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_SubSample= MULT/400
Wgt_SubSample= Wgt_SubSample*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V73" name="Wgt_Combined" wgt="wgt" files="F1" dcml="2" intrvl="contin">
      <location StartPos="183" EndPos="190" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.8825" max="68673.86"/>
      </valrng>
      <sumStat type="vald">
        120309
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.882
      </sumStat>
      <sumStat type="max">
        68673.86
      </sumStat>
      <sumStat type="mean">
        1568.709
      </sumStat>
      <sumStat type="stdev">
        1661.28
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_Combined= MULT/800, if NSC>NSS
Wgt_Combined= MULT/400, if NSC=NSS
Wgt_Combined= Wgt_Combined*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V111" name="PID" files="F2" intrvl="discrete">
      <location StartPos="1" EndPos="14" width="14" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a member in a household
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for uniquely identifying a member in a household by combining HHID and serial no. of members.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V110" name="HHID" files="F2" intrvl="discrete">
      <location StartPos="15" EndPos="25" width="11" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining serial no. of  Village/Block, visit number, segment number, 2nd stg strm and  Sample Household Number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V74" name="ID" files="F2" intrvl="discrete">
      <location StartPos="26" EndPos="27" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          W2
        </catValu>
        <catStat type="freq">
          600016
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V75" name="RoundSchedule" files="F2" intrvl="discrete">
      <location StartPos="28" EndPos="30" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          551
        </catValu>
        <catStat type="freq">
          600016
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V76" name="Sector" files="F2" intrvl="discrete">
      <location StartPos="31" EndPos="31" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        600016
      </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">
          374856
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          225160
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V77" name="State_region" files="F2" intrvl="discrete">
      <location StartPos="32" EndPos="34" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        600016
      </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="V112" name="State" files="F2" intrvl="discrete">
      <location StartPos="35" EndPos="36" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          39124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          5267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          22642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          51873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          2183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          25662
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          10234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          11222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          13357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          25374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          21439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          44891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          44571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          7519
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          6574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          6445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          3543
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          21619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          20414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          29180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          6344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          33909
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          7261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          82448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          37569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          2302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          3759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          1295
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          1767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          5865
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          1565
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          2799
        </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="V78" name="Stratum" files="F2" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        600016
      </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="V79" name="District" files="F2" intrvl="discrete">
      <location StartPos="39" EndPos="40" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V80" name="SubRound" files="F2" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        600016
      </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">
          150387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          150488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          149817
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          149324
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V81" name="SubSample" files="F2" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        600016
      </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>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V82" name="Vill_Blk_Slno" files="F2" intrvl="discrete">
      <location StartPos="43" EndPos="47" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V83" name="VisitNo" files="F2" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Visit Number
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          600016
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V84" name="SegmentNo" files="F2" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V85" name="Stage2_Stratum" files="F2" intrvl="discrete">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V86" name="Hhold_no" files="F2" intrvl="discrete">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V87" name="NSS" files="F2" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <valrng>
        <range min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        2.266
      </sumStat>
      <sumStat type="stdev">
        2.215
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V88" name="NSC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="56" EndPos="57" width="2" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <valrng>
        <range min="1" max="30"/>
      </valrng>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        4.522
      </sumStat>
      <sumStat type="stdev">
        4.43
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V89" name="MULT" files="F2" dcml="2" intrvl="contin">
      <location StartPos="58" EndPos="68" width="11" RecSegNo="1"/>
      <labl>
        MULT
      </labl>
      <valrng>
        <range min="706" max="54939088"/>
      </valrng>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        706
      </sumStat>
      <sumStat type="max">
        54939088
      </sumStat>
      <sumStat type="mean">
        1228046.559
      </sumStat>
      <sumStat type="stdev">
        1288236.399
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V90" name="ss_replicate" files="F2" intrvl="discrete">
      <location StartPos="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        ss-replicate
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V683" name="mpce30" files="F2" dcml="0" intrvl="contin">
      <location StartPos="70" EndPos="75" width="6" RecSegNo="1"/>
      <labl>
        mpce30
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Household consumer expenditure : 
The expenditure incurred by a household on domestic consumption during the reference period is the household's consumer expenditure. The household consumer expenditure is the total of the monetary values of consumption of various groups of items namely (i) food, pan (betel leaves), tobacco, intoxicants and fuel & light, (ii) clothing and footwear and (iii) miscellaneous goods and services and durable articles.

Monthly per capita expenditure (MPCE) : 
For a household, this is household consumer expenditure over a period of 30 days divided by household size. A person's MPCE is understood as that of the household to which he/she belongs.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V684" name="mpce7" files="F2" dcml="0" intrvl="contin">
      <location StartPos="76" EndPos="81" width="6" RecSegNo="1"/>
      <labl>
        mpce7
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V93" name="B4_q1" files="F2" intrvl="discrete">
      <location StartPos="82" EndPos="84" 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">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V94" name="B4_q3" files="F2" intrvl="discrete">
      <location StartPos="85" EndPos="85" 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">
        599853
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
        <catStat type="freq">
          120694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse of head
        </labl>
        <catStat type="freq">
          97064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married child
        </labl>
        <catStat type="freq">
          29397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Spouse of married child
        </labl>
        <catStat type="freq">
          28062
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unmarried child
        </labl>
        <catStat type="freq">
          229250
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchild
        </labl>
        <catStat type="freq">
          47733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Father/mother/father-in-law/mother-in-law
        </labl>
        <catStat type="freq">
          17258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Brother/sister/brother-in-law/sister-in-law/other relations
        </labl>
        <catStat type="freq">
          28187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Servant/employee/or non-relatives
        </labl>
        <catStat type="freq">
          2208
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V95" name="B4_q4" files="F2" intrvl="discrete">
      <location StartPos="86" EndPos="86" 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.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          311081
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          288935
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V493" name="B4_q5" files="F2" dcml="0" intrvl="contin">
      <location StartPos="87" EndPos="88" 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>
      <sumStat type="vald">
        599518
      </sumStat>
      <sumStat type="invd">
        498
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V97" name="B4_q6" files="F2" intrvl="discrete">
      <location StartPos="89" EndPos="89" 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">
        599521
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          301429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Currently married
        </labl>
        <catStat type="freq">
          268066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          27797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/separated
        </labl>
        <catStat type="freq">
          2229
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V98" name="B4_q7" files="F2" intrvl="discrete">
      <location StartPos="90" EndPos="91" 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 09).  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 08).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        599015
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          not literate
        </labl>
        <catStat type="freq">
          231365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[literate through attending:  NFEC/AEC]]></labl>
        <catStat type="freq">
          725
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          TLC
        </labl>
        <catStat type="freq">
          777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          5294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          literate but below primary
        </labl>
        <catStat type="freq">
          102611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          primary
        </labl>
        <catStat type="freq">
          73732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          middle
        </labl>
        <catStat type="freq">
          75420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          secondary
        </labl>
        <catStat type="freq">
          51632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          higher secondary
        </labl>
        <catStat type="freq">
          27963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          graduate and above in : agriculture
        </labl>
        <catStat type="freq">
          1607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          graduate and above in : engineering/technology
        </labl>
        <catStat type="freq">
          1585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          graduate and above in : medicine
        </labl>
        <catStat type="freq">
          906
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          graduate and above in : other subjects
        </labl>
        <catStat type="freq">
          25393
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V99" name="B4_q8" files="F2" intrvl="discrete">
      <location StartPos="92" EndPos="92" width="1" RecSegNo="1"/>
      <labl>
        wrk code
      </labl>
      <qstn>
        <qstnLit>
          Is the member of the household working somewhere?
        </qstnLit>
        <ivuInstr>
          Here, a person will be classified as a worker on the basis of usual activity status approach taking into consideration both the principal and subsidiary statuses. If a member is classified as a worker then code 1 will be assigned, otherwise code 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        598992
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          224063
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          374929
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V100" name="B4_q9" files="F2" intrvl="discrete">
      <location StartPos="93" EndPos="93" width="1" RecSegNo="1"/>
      <labl>
        type-income
      </labl>
      <qstn>
        <qstnLit>
          What are the sources of income?
        </qstnLit>
        <ivuInstr>
          Source of income of each of the household members will be ascertained and recorded in codes.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        596347
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          income from: economic activity
        </labl>
        <catStat type="freq">
          216291
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          income from: other sources
        </labl>
        <catStat type="freq">
          21548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          no income
        </labl>
        <catStat type="freq">
          358508
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V101" name="B4_q10" files="F2" dcml="0" intrvl="contin">
      <location StartPos="94" EndPos="95" 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. For members who did not stay away for at least 1 day during the last 30 days, zero (0) will be recorded.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="30"/>
      </valrng>
      <sumStat type="vald">
        214422
      </sumStat>
      <sumStat type="invd">
        385594
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        1.199
      </sumStat>
      <sumStat type="stdev">
        4.05
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V102" name="B4_q11" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="96" EndPos="96" 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'.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3"/>
      </valrng>
      <sumStat type="vald">
        597581
      </sumStat>
      <sumStat type="invd">
        2435
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          4683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          318592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          273910
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2435
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="B4_q12" files="F2" dcml="0" intrvl="contin">
      <location StartPos="97" EndPos="98" 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 (12), (13) &amp; (14) pertain to meals taken away from home without payment.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        84206
      </sumStat>
      <sumStat type="invd">
        515810
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        1.631
      </sumStat>
      <sumStat type="stdev">
        6.429
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V104" name="B4_q13" files="F2" dcml="0" intrvl="contin">
      <location StartPos="99" EndPos="100" 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 (12), (13) &amp; (14) pertain to meals taken away from home without payment.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        79568
      </sumStat>
      <sumStat type="invd">
        520448
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        0.885
      </sumStat>
      <sumStat type="stdev">
        6.365
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V105" name="B4_q14" files="F2" dcml="0" intrvl="contin">
      <location StartPos="101" EndPos="102" 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 (12), (13) &amp; (14) pertain to meals taken away from home without payment.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        107673
      </sumStat>
      <sumStat type="invd">
        492343
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        4.678
      </sumStat>
      <sumStat type="stdev">
        12.243
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V106" name="B4_q15" files="F2" dcml="0" intrvl="contin">
      <location StartPos="103" EndPos="104" 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">
        87272
      </sumStat>
      <sumStat type="invd">
        512744
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        2.461
      </sumStat>
      <sumStat type="stdev">
        10.231
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V107" name="B4_q16" files="F2" dcml="0" intrvl="contin">
      <location StartPos="105" EndPos="106" 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">
        594288
      </sumStat>
      <sumStat type="invd">
        5728
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        71.916
      </sumStat>
      <sumStat type="stdev">
        16.83
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V108" name="MPC_Code_R_U" files="F2" intrvl="discrete">
      <location StartPos="107" EndPos="108" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(R/U)
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

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

          RURAL 			URBAN
           (Rs.) 			  (Rs.)
1.        0 -  220 		    	0 - 290
2.     220 - 250 			290 - 330
3.     250 - 290			330 - 405
4.     290 - 330			405 - 480
5.     330 - 370			480 - 550
6.     370 - 410			550 - 630
7.     410 - 460			630 - 735
8.     460 - 515 			735 - 855
9.     515 - 605 			855 - 1040
10.   605 - 765 	                              1040 - 1315
11.   765 - 945 	                              1315 - 1535
12.   945 & above 	                              1535 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V109" name="MPC_Code_Combined" files="F2" intrvl="discrete">
      <location StartPos="109" EndPos="110" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(COMB)
      </labl>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V113" name="Wgt_SubSample" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="111" EndPos="119" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub Sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.765" max="137347.72"/>
      </valrng>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.765
      </sumStat>
      <sumStat type="max">
        137347.72
      </sumStat>
      <sumStat type="mean">
        3070.161
      </sumStat>
      <sumStat type="stdev">
        3220.549
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_SubSample= MULT/400
Wgt_SubSample= Wgt_SubSample*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V114" name="Wgt_Combined" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="120" EndPos="127" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.8825" max="68673.86"/>
      </valrng>
      <sumStat type="vald">
        600016
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.882
      </sumStat>
      <sumStat type="max">
        68673.86
      </sumStat>
      <sumStat type="mean">
        1540.226
      </sumStat>
      <sumStat type="stdev">
        1622.471
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_Combined= MULT/800, if NSC>NSS
Wgt_Combined= MULT/400, if NSC=NSS
Wgt_Combined= Wgt_Combined*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V523" name="HHID" files="F13" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining serial no. of  Village/Block, visit number, segment number, 2nd stg strm and  Sample Household Number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V494" name="ID" files="F13" intrvl="discrete">
      <location StartPos="12" EndPos="13" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          W3
        </catValu>
        <catStat type="freq">
          5049897
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V495" name="RoundSchedule" files="F13" intrvl="discrete">
      <location StartPos="14" EndPos="16" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          551
        </catValu>
        <catStat type="freq">
          5049897
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V496" name="Sector" files="F13" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        5049897
      </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">
          2865308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          2184589
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V497" name="State_region" files="F13" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        5049897
      </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="V524" name="State" files="F13" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          387833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          34518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          184138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          344733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          24208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          236498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          75553
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          102122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          96720
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          255127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          217967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          322814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          438631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          49472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          57917
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          51483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          29206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          182143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          155361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          188725
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          53036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          394081
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          74695
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          558705
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          334643
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          23422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          44901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          11561
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          18373
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          55037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          12761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          33513
        </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="V498" name="Stratum" files="F13" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        5049897
      </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="V499" name="District" files="F13" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V500" name="SubRound" files="F13" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        5049897
      </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">
          1248936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          1265461
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          1279271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          1256229
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V501" name="SubSample" files="F13" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        5049897
      </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>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V502" name="Vill_Blk_Slno" files="F13" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V503" name="VisitNo" files="F13" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Visit Number
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          5049897
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V504" name="SegmentNo" files="F13" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V505" name="Stage2_Stratum" files="F13" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V506" name="Hhold_no" files="F13" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V507" name="NSS" files="F13" dcml="0" intrvl="contin">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <valrng>
        <range min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        2.444
      </sumStat>
      <sumStat type="stdev">
        2.41
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V508" name="NSC" files="F13" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <valrng>
        <range min="1" max="30"/>
      </valrng>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        4.88
      </sumStat>
      <sumStat type="stdev">
        4.821
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V509" name="MULT" files="F13" dcml="2" intrvl="contin">
      <location StartPos="44" EndPos="54" width="11" RecSegNo="1"/>
      <labl>
        MULT
      </labl>
      <valrng>
        <range min="706" max="54939088"/>
      </valrng>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        706
      </sumStat>
      <sumStat type="max">
        54939088
      </sumStat>
      <sumStat type="mean">
        1215996.821
      </sumStat>
      <sumStat type="stdev">
        1303781.121
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V510" name="ss_replicate" files="F13" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        ss-replicate
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V513" name="B5_q1" files="F13" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          rice - P.D.S.
        </labl>
        <catStat type="freq">
          32782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          rice - other sources
        </labl>
        <catStat type="freq">
          104850
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          chira
        </labl>
        <catStat type="freq">
          13655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          khoi, lawa
        </labl>
        <catStat type="freq">
          805
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          muri
        </labl>
        <catStat type="freq">
          14664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          other rice products
        </labl>
        <catStat type="freq">
          2761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          wheat/atta - P.D.S.
        </labl>
        <catStat type="freq">
          16863
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          wheat/atta - other sources
        </labl>
        <catStat type="freq">
          74573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          maida
        </labl>
        <catStat type="freq">
          10314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          suji, rawa
        </labl>
        <catStat type="freq">
          26328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          sewai, noodles
        </labl>
        <catStat type="freq">
          4579
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          bread (bakery)
        </labl>
        <catStat type="freq">
          18706
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          other wheat products
        </labl>
        <catStat type="freq">
          459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          jowar &amp; products
        </labl>
        <catStat type="freq">
          7825
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          bajra &amp; products
        </labl>
        <catStat type="freq">
          5300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          maize &amp; products
        </labl>
        <catStat type="freq">
          6800
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          barley &amp; products
        </labl>
        <catStat type="freq">
          207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          small millets &amp; products
        </labl>
        <catStat type="freq">
          704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          ragi &amp; products
        </labl>
        <catStat type="freq">
          4562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          other cereals
        </labl>
        <catStat type="freq">
          983
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          cereal: s.t. (101-122)
        </labl>
        <catStat type="freq">
          117737
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl><![CDATA[cereal substitutes  (tapioca, jackfruit seed etc.)]]></labl>
        <catStat type="freq">
          7453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          arhar (tur)
        </labl>
        <catStat type="freq">
          64580
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          gram (split)
        </labl>
        <catStat type="freq">
          38694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          gram (whole)
        </labl>
        <catStat type="freq">
          17659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          moong
        </labl>
        <catStat type="freq">
          54585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          masur
        </labl>
        <catStat type="freq">
          49272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          urd
        </labl>
        <catStat type="freq">
          40672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          peas
        </labl>
        <catStat type="freq">
          9590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          soyabean
        </labl>
        <catStat type="freq">
          3335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          khesari
        </labl>
        <catStat type="freq">
          3116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          other pulses
        </labl>
        <catStat type="freq">
          19534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          gram products
        </labl>
        <catStat type="freq">
          3991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          besan
        </labl>
        <catStat type="freq">
          28732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          other pulse products
        </labl>
        <catStat type="freq">
          5720
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          pulses &amp; pulse products: s.t. (140-153)
        </labl>
        <catStat type="freq">
          115188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          milk: liquid (litre)
        </labl>
        <catStat type="freq">
          88199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          baby food
        </labl>
        <catStat type="freq">
          1652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          milk : condensed/ powder
        </labl>
        <catStat type="freq">
          6888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          curd
        </labl>
        <catStat type="freq">
          8120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          ghee
        </labl>
        <catStat type="freq">
          19389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          butter
        </labl>
        <catStat type="freq">
          2649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          ice-cream
        </labl>
        <catStat type="freq">
          1906
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          other milk products
        </labl>
        <catStat type="freq">
          2568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          milk &amp; milk products: s.t.(160-167)
        </labl>
        <catStat type="freq">
          94706
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          vanaspati, margarine
        </labl>
        <catStat type="freq">
          20041
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          mustard oil
        </labl>
        <catStat type="freq">
          59123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          groundnut oil
        </labl>
        <catStat type="freq">
          28471
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          coconut oil
        </labl>
        <catStat type="freq">
          5900
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          edible oil (others)
        </labl>
        <catStat type="freq">
          28072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          edible oil: s.t. (170-174)
        </labl>
        <catStat type="freq">
          116511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          eggs (no.)
        </labl>
        <catStat type="freq">
          42695
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          fish, prawn
        </labl>
        <catStat type="freq">
          42069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          goat meat/mutton
        </labl>
        <catStat type="freq">
          27483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          beef/ buffalo meat
        </labl>
        <catStat type="freq">
          11771
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          pork
        </labl>
        <catStat type="freq">
          4768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          chicken
        </labl>
        <catStat type="freq">
          21962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          others (birds, crab, oyster, tortoise etc.)
        </labl>
        <catStat type="freq">
          2849
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          egg, fish &amp; meat: s.t. (180-186)
        </labl>
        <catStat type="freq">
          73902
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          potato
        </labl>
        <catStat type="freq">
          110564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          onion
        </labl>
        <catStat type="freq">
          111413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          radish
        </labl>
        <catStat type="freq">
          29378
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          carrot
        </labl>
        <catStat type="freq">
          23589
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          turnip
        </labl>
        <catStat type="freq">
          2109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          beet
        </labl>
        <catStat type="freq">
          4991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          sweet potato
        </labl>
        <catStat type="freq">
          3696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          arum
        </labl>
        <catStat type="freq">
          14385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          pumpkin
        </labl>
        <catStat type="freq">
          31993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          gourd
        </labl>
        <catStat type="freq">
          33902
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          bitter gourd
        </labl>
        <catStat type="freq">
          25682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          cucumber
        </labl>
        <catStat type="freq">
          21807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          parwal / patal
        </labl>
        <catStat type="freq">
          14842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          jhinga / torai
        </labl>
        <catStat type="freq">
          25812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          snake gourd
        </labl>
        <catStat type="freq">
          8264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          papaya (green)
        </labl>
        <catStat type="freq">
          9690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          cauliflower
        </labl>
        <catStat type="freq">
          38424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          cabbage
        </labl>
        <catStat type="freq">
          50469
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          brinjal
        </labl>
        <catStat type="freq">
          83004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          lady's finger
        </labl>
        <catStat type="freq">
          50164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          palak/other leafy vegetables
        </labl>
        <catStat type="freq">
          74537
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          french beans and barbati
        </labl>
        <catStat type="freq">
          19865
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          tomato
        </labl>
        <catStat type="freq">
          84431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          peas
        </labl>
        <catStat type="freq">
          13804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          chillis (green)
        </labl>
        <catStat type="freq">
          94230
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          capsicum
        </labl>
        <catStat type="freq">
          2402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          plantain (green)
        </labl>
        <catStat type="freq">
          7679
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          jackfruit (green)
        </labl>
        <catStat type="freq">
          3242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          lemon (no.)
        </labl>
        <catStat type="freq">
          37924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          other vegetables
        </labl>
        <catStat type="freq">
          50155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          vegetables: s.t. (190-222)
        </labl>
        <catStat type="freq">
          117499
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          banana (no.)
        </labl>
        <catStat type="freq">
          62466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          jackfruit
        </labl>
        <catStat type="freq">
          1376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          watermelon
        </labl>
        <catStat type="freq">
          3861
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          pineapple (no.)
        </labl>
        <catStat type="freq">
          2545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          coconut (no.)
        </labl>
        <catStat type="freq">
          30791
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          guava
        </labl>
        <catStat type="freq">
          13566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          singara
        </labl>
        <catStat type="freq">
          1658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          orange,mausami (no.)
        </labl>
        <catStat type="freq">
          8875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          papaya
        </labl>
        <catStat type="freq">
          4123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          mango
        </labl>
        <catStat type="freq">
          14617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          kharbooza
        </labl>
        <catStat type="freq">
          2641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          pears (naspati)
        </labl>
        <catStat type="freq">
          1049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          berries
        </labl>
        <catStat type="freq">
          996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          leechi
        </labl>
        <catStat type="freq">
          914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          apple
        </labl>
        <catStat type="freq">
          15375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          grapes
        </labl>
        <catStat type="freq">
          11394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          other fresh fruits
        </labl>
        <catStat type="freq">
          12033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          fruits (fresh) : s.t. (230-247)
        </labl>
        <catStat type="freq">
          88516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          coconut (copra)
        </labl>
        <catStat type="freq">
          9633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          groundnut
        </labl>
        <catStat type="freq">
          19320
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          dates
        </labl>
        <catStat type="freq">
          2597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          cashewnut
        </labl>
        <catStat type="freq">
          3094
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          walnut
        </labl>
        <catStat type="freq">
          305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          other nuts
        </labl>
        <catStat type="freq">
          663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          raisin (kishmish, monacca etc.)
        </labl>
        <catStat type="freq">
          3786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          other dry fruits
        </labl>
        <catStat type="freq">
          3205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          fruits (dry) : s.t. (250-257)
        </labl>
        <catStat type="freq">
          27898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          sugar - P.D.S.
        </labl>
        <catStat type="freq">
          72924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          sugar - other sources
        </labl>
        <catStat type="freq">
          88667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          gur
        </labl>
        <catStat type="freq">
          26779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          candy (misri)
        </labl>
        <catStat type="freq">
          694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          honey
        </labl>
        <catStat type="freq">
          474
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          sugar : s.t. (260-264)
        </labl>
        <catStat type="freq">
          113117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          salt
        </labl>
        <catStat type="freq">
          117050
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          turmeric (gm)
        </labl>
        <catStat type="freq">
          111857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          black pepper (gm)
        </labl>
        <catStat type="freq">
          29237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          dry chillies (gm)
        </labl>
        <catStat type="freq">
          103002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          garlic (gm)
        </labl>
        <catStat type="freq">
          93472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          tamarind (gm)
        </labl>
        <catStat type="freq">
          33115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          ginger (gm)
        </labl>
        <catStat type="freq">
          64023
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          curry powder (gm)
        </labl>
        <catStat type="freq">
          24487
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          oilseeds (gm)
        </labl>
        <catStat type="freq">
          27214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          other spices (gm)
        </labl>
        <catStat type="freq">
          100978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          spices : s.t. (280-288)
        </labl>
        <catStat type="freq">
          117185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          tea : cups (no.)
        </labl>
        <catStat type="freq">
          54351
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          tea : leaf (gm)
        </labl>
        <catStat type="freq">
          96597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          coffee : cups (no.)
        </labl>
        <catStat type="freq">
          2008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          coffee: powder (gm)
        </labl>
        <catStat type="freq">
          8528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          ice
        </labl>
        <catStat type="freq">
          510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          cold beverages: bottled/canned (no.)
        </labl>
        <catStat type="freq">
          5167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          fruit juice and shake (glass)
        </labl>
        <catStat type="freq">
          2022
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          coconut: green (no.)
        </labl>
        <catStat type="freq">
          3624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          other beverages (cocoa, chocolate etc.)
        </labl>
        <catStat type="freq">
          5060
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          biscuits
        </labl>
        <catStat type="freq">
          54853
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          salted refreshments
        </labl>
        <catStat type="freq">
          40651
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          prepared sweets
        </labl>
        <catStat type="freq">
          20417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          cooked meals (no.)
        </labl>
        <catStat type="freq">
          9437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          cake, pastry
        </labl>
        <catStat type="freq">
          1692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          pickles (gm)
        </labl>
        <catStat type="freq">
          18580
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          sauce (gm)
        </labl>
        <catStat type="freq">
          1741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          jam, jelly (gm)
        </labl>
        <catStat type="freq">
          1891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          other processed food
        </labl>
        <catStat type="freq">
          21501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          beverages etc.: s.t. (290-308)
        </labl>
        <catStat type="freq">
          115399
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          pan : leaf (no.)
        </labl>
        <catStat type="freq">
          14262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          pan : finished (no.)
        </labl>
        <catStat type="freq">
          12709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          supari (gm)
        </labl>
        <catStat type="freq">
          15138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          lime (gm)
        </labl>
        <catStat type="freq">
          16530
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          katha (gm)
        </labl>
        <catStat type="freq">
          2876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          other ingredients for pan (gm)
        </labl>
        <catStat type="freq">
          4744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          pan: s.t. (310-315)
        </labl>
        <catStat type="freq">
          33094
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          bidi (no.)
        </labl>
        <catStat type="freq">
          34480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          cigarettes (no.)
        </labl>
        <catStat type="freq">
          9436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          leaf tobacco
        </labl>
        <catStat type="freq">
          16960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          snuff (gm)
        </labl>
        <catStat type="freq">
          1322
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          hookah tobacco
        </labl>
        <catStat type="freq">
          2716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          cheroot (no.)
        </labl>
        <catStat type="freq">
          821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          zarda, kimam, surti (gm)
        </labl>
        <catStat type="freq">
          4278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          other tobacco products (gm)
        </labl>
        <catStat type="freq">
          6427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          tobacco: s.t. (320-327)
        </labl>
        <catStat type="freq">
          63868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          ganja (gm)
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          toddy (litre)
        </labl>
        <catStat type="freq">
          2510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          country liquor (litre)
        </labl>
        <catStat type="freq">
          10272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          beer (litre)
        </labl>
        <catStat type="freq">
          1208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          foreign liquor or refined liquor (litre)
        </labl>
        <catStat type="freq">
          2674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          other intoxicants
        </labl>
        <catStat type="freq">
          1383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl><![CDATA[intoxicants:  s.t. (330-335)]]></labl>
        <catStat type="freq">
          17174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V514" name="B5_q3" files="F13" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="66" width="8" RecSegNo="1"/>
      <labl>
        Quantity-7
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was consumed by the household in the last 7 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="78214.28"/>
      </valrng>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        78214.28
      </sumStat>
      <sumStat type="mean">
        90.22
      </sumStat>
      <sumStat type="stdev">
        321.097
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V515" name="B5_q4" files="F13" dcml="2" intrvl="contin">
      <location StartPos="67" EndPos="75" width="9" RecSegNo="1"/>
      <labl>
        Value-7
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of the items consumed by the household in the last 7 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="859436.8"/>
      </valrng>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        859436.8
      </sumStat>
      <sumStat type="mean">
        94.472
      </sumStat>
      <sumStat type="stdev">
        680.819
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V516" name="B5_q5" files="F13" dcml="2" intrvl="contin">
      <location StartPos="76" EndPos="84" width="9" RecSegNo="1"/>
      <labl>
        Quantity-30
      </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="450045"/>
      </valrng>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        450045
      </sumStat>
      <sumStat type="mean">
        83.575
      </sumStat>
      <sumStat type="stdev">
        369.091
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V517" name="B5_q6" files="F13" dcml="2" intrvl="contin">
      <location StartPos="85" EndPos="93" width="9" RecSegNo="1"/>
      <labl>
        Value-30
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of the items consumed by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="463660.36"/>
      </valrng>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        463660.36
      </sumStat>
      <sumStat type="mean">
        88.987
      </sumStat>
      <sumStat type="stdev">
        391.252
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V518" name="B5_q7" files="F13" intrvl="discrete">
      <location StartPos="94" EndPos="94" width="1" RecSegNo="1"/>
      <labl>
        Source
      </labl>
      <qstn>
        <qstnLit>
          What was the source of obtaining the item?
        </qstnLit>
        <ivuInstr>
          Consumption of an item during the last 30 days may be made out of one or more sources mentioned in the preceding para. The source from which the item has been procured and consumed by the household will be recorded in terms of codes.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        3804077
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          only purchase
        </labl>
        <catStat type="freq">
          3539847
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          only home-grown stock
        </labl>
        <catStat type="freq">
          205912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          both purchase and home-grown stock
        </labl>
        <catStat type="freq">
          15858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          only free collection
        </labl>
        <catStat type="freq">
          21713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          20747
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V519" name="Food_code" files="F13" intrvl="discrete">
      <location StartPos="95" EndPos="95" width="1" RecSegNo="1"/>
      <labl>
        Food code
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V520" name="MPC_Code_R_U" files="F13" intrvl="discrete">
      <location StartPos="96" EndPos="97" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(R/U)
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

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

          RURAL 			URBAN
           (Rs.) 			  (Rs.)
1.        0 -  220 		    	0 - 290
2.     220 - 250 			290 - 330
3.     250 - 290			330 - 405
4.     290 - 330			405 - 480
5.     330 - 370			480 - 550
6.     370 - 410			550 - 630
7.     410 - 460			630 - 735
8.     460 - 515 			735 - 855
9.     515 - 605 			855 - 1040
10.   605 - 765 	                              1040 - 1315
11.   765 - 945 	                              1315 - 1535
12.   945 & above 	                              1535 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V521" name="MPC_Code_Combined" files="F13" intrvl="discrete">
      <location StartPos="98" EndPos="99" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(COMB)
      </labl>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V522" name="No_of_durables_on_use" files="F13" dcml="0" intrvl="contin">
      <location StartPos="100" EndPos="100" width="1" RecSegNo="1"/>
      <labl>
        No. of durables onuse
      </labl>
      <valrng>
        <range min="2" max="3"/>
      </valrng>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        5049895
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        3
      </sumStat>
      <sumStat type="mean">
        2.5
      </sumStat>
      <sumStat type="stdev">
        0.707
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V525" name="Wgt_SubSample" wgt="wgt" files="F13" dcml="2" intrvl="contin">
      <location StartPos="101" EndPos="109" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub Sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.765" max="137347.72"/>
      </valrng>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.765
      </sumStat>
      <sumStat type="max">
        137347.72
      </sumStat>
      <sumStat type="mean">
        3040.033
      </sumStat>
      <sumStat type="stdev">
        3259.415
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_SubSample= MULT/400
Wgt_SubSample= Wgt_SubSample*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V526" name="Wgt_Combined" wgt="wgt" files="F13" dcml="2" intrvl="contin">
      <location StartPos="110" EndPos="117" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.8825" max="68673.86"/>
      </valrng>
      <sumStat type="vald">
        5049897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.882
      </sumStat>
      <sumStat type="max">
        68673.86
      </sumStat>
      <sumStat type="mean">
        1524.357
      </sumStat>
      <sumStat type="stdev">
        1639.967
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_Combined= MULT/800, if NSC>NSS
Wgt_Combined= MULT/400, if NSC=NSS
Wgt_Combined= Wgt_Combined*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V554" name="HHID" files="F14" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining serial no. of  Village/Block, visit number, segment number, 2nd stg strm and  Sample Household Number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V527" name="ID" files="F14" intrvl="discrete">
      <location StartPos="12" EndPos="13" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          W3
        </catValu>
        <catStat type="freq">
          606242
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V528" name="RoundSchedule" files="F14" intrvl="discrete">
      <location StartPos="14" EndPos="16" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          551
        </catValu>
        <catStat type="freq">
          606242
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V529" name="Sector" files="F14" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        606242
      </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">
          369361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          236881
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V530" name="State_region" files="F14" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        606242
      </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="V555" name="State" files="F14" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          42608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          4491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          21126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          48717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          2548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          25691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          10793
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          12252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          14106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          26557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          24149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          42724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          44857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          7534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          5646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          6934
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          3943
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          21133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          22100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          25676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          6556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          41042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          8261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          74399
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          41956
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          2284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          4243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          1434
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          1948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          5822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          1416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          3296
        </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="V531" name="Stratum" files="F14" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        606242
      </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="V532" name="District" files="F14" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V533" name="SubRound" files="F14" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        606242
      </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">
          148428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          152489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          153817
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          151508
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V534" name="SubSample" files="F14" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        606242
      </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>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V535" name="Vill_Blk_Slno" files="F14" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V536" name="VisitNo" files="F14" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Visit Number
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          606242
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V537" name="SegmentNo" files="F14" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V538" name="Stage2_Stratum" files="F14" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V539" name="Hhold_no" files="F14" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V540" name="NSS" files="F14" dcml="0" intrvl="contin">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <valrng>
        <range min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        2.309
      </sumStat>
      <sumStat type="stdev">
        2.229
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V541" name="NSC" files="F14" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <valrng>
        <range min="1" max="30"/>
      </valrng>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        4.61
      </sumStat>
      <sumStat type="stdev">
        4.459
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V542" name="MULT" files="F14" dcml="2" intrvl="contin">
      <location StartPos="44" EndPos="54" width="11" RecSegNo="1"/>
      <labl>
        MULT
      </labl>
      <valrng>
        <range min="706" max="54939088"/>
      </valrng>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        706
      </sumStat>
      <sumStat type="max">
        54939088
      </sumStat>
      <sumStat type="mean">
        1248561.633
      </sumStat>
      <sumStat type="stdev">
        1302952.251
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V543" name="ss_replicate" files="F14" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        ss-replicate
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V546" name="B5_1_q1" files="F14" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          coke
        </labl>
        <catStat type="freq">
          1201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          firewood and chips
        </labl>
        <catStat type="freq">
          76522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          electricity (std. unit)
        </labl>
        <catStat type="freq">
          77587
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          dung cake
        </labl>
        <catStat type="freq">
          34529
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          kerosene - P.D.S. (litre)
        </labl>
        <catStat type="freq">
          77394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          kerosene - other sources (litre)
        </labl>
        <catStat type="freq">
          43300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          matches (box)
        </labl>
        <catStat type="freq">
          112555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          coal
        </labl>
        <catStat type="freq">
          2230
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          L.P.G.
        </labl>
        <catStat type="freq">
          30436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          charcoal
        </labl>
        <catStat type="freq">
          665
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          candle (no.)
        </labl>
        <catStat type="freq">
          24013
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          gobar gas
        </labl>
        <catStat type="freq">
          358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          other fuel
        </labl>
        <catStat type="freq">
          5998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          fuel and light: s.t. (340-353)
        </labl>
        <catStat type="freq">
          119449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V547" name="B5_1_q3" files="F14" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="67" width="9" RecSegNo="1"/>
      <labl>
        Quantity-30
      </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="690052"/>
      </valrng>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        690052
      </sumStat>
      <sumStat type="mean">
        28.866
      </sumStat>
      <sumStat type="stdev">
        889.752
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V548" name="B5_1_q4" files="F14" dcml="2" intrvl="contin">
      <location StartPos="68" EndPos="76" width="9" RecSegNo="1"/>
      <labl>
        Value-30
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of the items consumed by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="821273.36"/>
      </valrng>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        821273.36
      </sumStat>
      <sumStat type="mean">
        97.687
      </sumStat>
      <sumStat type="stdev">
        1497.83
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V549" name="B5_1_q5" files="F14" intrvl="discrete">
      <location StartPos="77" EndPos="77" width="1" RecSegNo="1"/>
      <labl>
        Source
      </labl>
      <qstn>
        <qstnLit>
          What was the source of obtaining the item?
        </qstnLit>
        <ivuInstr>
          Consumption of an item during the last 30 days may be made out of one or more sources mentioned in the preceding para. The source from which the item has been procured and consumed by the household will be recorded in terms of codes.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        467217
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          only purchase
        </labl>
        <catStat type="freq">
          381528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          only home-grown stock
        </labl>
        <catStat type="freq">
          36859
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          both purchase and home-grown stock
        </labl>
        <catStat type="freq">
          3564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          only free collection
        </labl>
        <catStat type="freq">
          39557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          5561
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V550" name="Food_code" files="F14" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        Food code
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V551" name="MPC_Code_R_U" files="F14" intrvl="discrete">
      <location StartPos="79" EndPos="80" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(R/U)
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

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

          RURAL 			URBAN
           (Rs.) 			  (Rs.)
1.        0 -  220 		    	0 - 290
2.     220 - 250 			290 - 330
3.     250 - 290			330 - 405
4.     290 - 330			405 - 480
5.     330 - 370			480 - 550
6.     370 - 410			550 - 630
7.     410 - 460			630 - 735
8.     460 - 515 			735 - 855
9.     515 - 605 			855 - 1040
10.   605 - 765 	                              1040 - 1315
11.   765 - 945 	                              1315 - 1535
12.   945 & above 	                              1535 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V552" name="MPC_Code_Combined" files="F14" intrvl="discrete">
      <location StartPos="81" EndPos="82" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(COMB)
      </labl>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V553" name="No_of_durables_on_use" files="F14" dcml="0" intrvl="contin">
      <location StartPos="83" EndPos="83" width="1" RecSegNo="1"/>
      <labl>
        No. of durables onuse
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        606242
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V556" name="Wgt_SubSample" wgt="wgt" files="F14" dcml="2" intrvl="contin">
      <location StartPos="84" EndPos="92" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub Sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.765" max="137347.72"/>
      </valrng>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.765
      </sumStat>
      <sumStat type="max">
        137347.72
      </sumStat>
      <sumStat type="mean">
        3121.441
      </sumStat>
      <sumStat type="stdev">
        3257.346
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_SubSample= MULT/400
Wgt_SubSample= Wgt_SubSample*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V557" name="Wgt_Combined" wgt="wgt" files="F14" dcml="2" intrvl="contin">
      <location StartPos="93" EndPos="100" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.8825" max="68673.86"/>
      </valrng>
      <sumStat type="vald">
        606242
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.882
      </sumStat>
      <sumStat type="max">
        68673.86
      </sumStat>
      <sumStat type="mean">
        1565.905
      </sumStat>
      <sumStat type="stdev">
        1642.078
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_Combined= MULT/800, if NSC>NSS
Wgt_Combined= MULT/400, if NSC=NSS
Wgt_Combined= Wgt_Combined*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V585" name="HHID" files="F15" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining serial no. of  Village/Block, visit number, segment number, 2nd stg strm and  Sample Household Number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V558" name="ID" files="F15" intrvl="discrete">
      <location StartPos="12" EndPos="13" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          W3
        </catValu>
        <catStat type="freq">
          1042792
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V559" name="RoundSchedule" files="F15" intrvl="discrete">
      <location StartPos="14" EndPos="16" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          551
        </catValu>
        <catStat type="freq">
          1042792
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V560" name="Sector" files="F15" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        1042792
      </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">
          620076
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          422716
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V561" name="State_region" files="F15" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        1042792
      </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="V586" name="State" files="F15" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          64822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          6606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          40456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          93717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          3558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          50336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          16876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          18529
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          18645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          42708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          39612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          78926
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          78517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          9623
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          11158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          8309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          6685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          36599
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          34156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          47027
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          13455
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          64983
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          15540
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          132379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          73419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          3824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          8118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          2228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          3546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          10307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          2628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          5500
        </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="V562" name="Stratum" files="F15" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        1042792
      </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="V563" name="District" files="F15" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V564" name="SubRound" files="F15" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        1042792
      </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">
          256000
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          261602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          262725
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          262465
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V565" name="SubSample" files="F15" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        1042792
      </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>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V566" name="Vill_Blk_Slno" files="F15" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V567" name="VisitNo" files="F15" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Visit Number
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1042792
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V568" name="SegmentNo" files="F15" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V569" name="Stage2_Stratum" files="F15" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V570" name="Hhold_no" files="F15" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V571" name="NSS" files="F15" dcml="0" intrvl="contin">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <valrng>
        <range min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        2.335
      </sumStat>
      <sumStat type="stdev">
        2.292
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V572" name="NSC" files="F15" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <valrng>
        <range min="1" max="30"/>
      </valrng>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        4.663
      </sumStat>
      <sumStat type="stdev">
        4.584
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V573" name="MULT" files="F15" dcml="2" intrvl="contin">
      <location StartPos="44" EndPos="54" width="11" RecSegNo="1"/>
      <labl>
        MULT
      </labl>
      <valrng>
        <range min="706" max="54939088"/>
      </valrng>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        706
      </sumStat>
      <sumStat type="max">
        54939088
      </sumStat>
      <sumStat type="mean">
        1234392.437
      </sumStat>
      <sumStat type="stdev">
        1311944.886
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V574" name="ss_replicate" files="F15" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        ss-replicate
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V577" name="B6_q1" files="F15" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          dhoti (m)
        </labl>
        <catStat type="freq">
          35474
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          sari (m)
        </labl>
        <catStat type="freq">
          88258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          cloth for shirt, pyjama, salwar etc.(m)
        </labl>
        <catStat type="freq">
          100824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          cloth for coat, trousers, overcoat etc. (m)
        </labl>
        <catStat type="freq">
          68291
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          chaddar, dupatta, shawl etc.(no.)
        </labl>
        <catStat type="freq">
          40964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          lungi (no.)
        </labl>
        <catStat type="freq">
          72031
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          gamchha, towel, handkerchief (no.)
        </labl>
        <catStat type="freq">
          95929
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          hosiery articles, stockings, under-garments etc.(no.)
        </labl>
        <catStat type="freq">
          100850
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl><![CDATA[ready-made garments   (no.)]]></labl>
        <catStat type="freq">
          86303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          headwear (no.)
        </labl>
        <catStat type="freq">
          7504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          knitted garments, swea- ter, pullover, cardigan, muffler, scarf etc.(no.)
        </labl>
        <catStat type="freq">
          30252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          knitting wool, cotton yarn (gm)
        </labl>
        <catStat type="freq">
          6162
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          clothing: others
        </labl>
        <catStat type="freq">
          29765
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          second-hand clothing
        </labl>
        <catStat type="freq">
          3502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          clothing: s.t. (360-374)
        </labl>
        <catStat type="freq">
          119161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          bed sheet, bed cover (no.)
        </labl>
        <catStat type="freq">
          46069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          rug, blanket (no.)
        </labl>
        <catStat type="freq">
          13413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          pillow, quilt, mattress (no.)
        </labl>
        <catStat type="freq">
          13766
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          cloth for upholstery, curtain, table-cloth etc. (m)
        </labl>
        <catStat type="freq">
          3200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          mosquito net (no.)
        </labl>
        <catStat type="freq">
          7174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          mats and matting (no.)
        </labl>
        <catStat type="freq">
          5274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          cotton (gm)
        </labl>
        <catStat type="freq">
          2301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          bedding: others
        </labl>
        <catStat type="freq">
          5690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          bedding etc.: s.t. (380-387)
        </labl>
        <catStat type="freq">
          60624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V578" name="B6_q3" files="F15" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="66" width="8" RecSegNo="1"/>
      <labl>
        Quantity-365
      </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="16438.36"/>
      </valrng>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        16438.36
      </sumStat>
      <sumStat type="mean">
        1.16
      </sumStat>
      <sumStat type="stdev">
        31.848
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V579" name="B6_q4" files="F15" dcml="2" intrvl="contin">
      <location StartPos="67" EndPos="74" width="8" RecSegNo="1"/>
      <labl>
        Value-365
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of the items purchased by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="24784.02"/>
      </valrng>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        24784.02
      </sumStat>
      <sumStat type="mean">
        49.847
      </sumStat>
      <sumStat type="stdev">
        97.986
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V581" name="Food_code" files="F15" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Food code
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V582" name="MPC_Code_R_U" files="F15" intrvl="discrete">
      <location StartPos="76" EndPos="77" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(R/U)
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

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

          RURAL 			URBAN
           (Rs.) 			  (Rs.)
1.        0 -  220 		    	0 - 290
2.     220 - 250 			290 - 330
3.     250 - 290			330 - 405
4.     290 - 330			405 - 480
5.     330 - 370			480 - 550
6.     370 - 410			550 - 630
7.     410 - 460			630 - 735
8.     460 - 515 			735 - 855
9.     515 - 605 			855 - 1040
10.   605 - 765 	                              1040 - 1315
11.   765 - 945 	                              1315 - 1535
12.   945 & above 	                              1535 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V583" name="MPC_Code_Combined" files="F15" intrvl="discrete">
      <location StartPos="78" EndPos="79" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(COMB)
      </labl>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V584" name="No_of_durables_on_use" files="F15" dcml="0" intrvl="contin">
      <location StartPos="80" EndPos="80" width="1" RecSegNo="1"/>
      <labl>
        No. of durables onuse
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        1042792
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V587" name="Wgt_SubSample" wgt="wgt" files="F15" dcml="2" intrvl="contin">
      <location StartPos="81" EndPos="89" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub Sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.765" max="137347.72"/>
      </valrng>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.765
      </sumStat>
      <sumStat type="max">
        137347.72
      </sumStat>
      <sumStat type="mean">
        3086.023
      </sumStat>
      <sumStat type="stdev">
        3279.824
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_SubSample= MULT/400
Wgt_SubSample= Wgt_SubSample*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V588" name="Wgt_Combined" wgt="wgt" files="F15" dcml="2" intrvl="contin">
      <location StartPos="90" EndPos="97" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.8825" max="68673.86"/>
      </valrng>
      <sumStat type="vald">
        1042792
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.882
      </sumStat>
      <sumStat type="max">
        68673.86
      </sumStat>
      <sumStat type="mean">
        1547.962
      </sumStat>
      <sumStat type="stdev">
        1651.338
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_Combined= MULT/800, if NSC>NSS
Wgt_Combined= MULT/400, if NSC=NSS
Wgt_Combined= Wgt_Combined*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V616" name="HHID" files="F16" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining serial no. of  Village/Block, visit number, segment number, 2nd stg strm and  Sample Household Number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V589" name="ID" files="F16" intrvl="discrete">
      <location StartPos="12" EndPos="13" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          W3
        </catValu>
        <catStat type="freq">
          349354
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V590" name="RoundSchedule" files="F16" intrvl="discrete">
      <location StartPos="14" EndPos="16" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          551
        </catValu>
        <catStat type="freq">
          349354
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V591" name="Sector" files="F16" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        349354
      </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">
          195805
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          153549
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V592" name="State_region" files="F16" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        349354
      </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="V617" name="State" files="F16" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          21570
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          2703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          11690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          23638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          1498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          18378
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          7543
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          8831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          8970
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          13927
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          12198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          24567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          28032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          4026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          4158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          4595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          2482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          9408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          14852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          18411
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          4640
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          18875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          4444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          44142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          21480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          1435
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          3487
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          794
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          1299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          4816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          1684
        </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="V593" name="Stratum" files="F16" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        349354
      </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="V594" name="District" files="F16" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V595" name="SubRound" files="F16" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        349354
      </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">
          84626
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          87028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          88575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          89125
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V596" name="SubSample" files="F16" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        349354
      </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>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V597" name="Vill_Blk_Slno" files="F16" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V598" name="VisitNo" files="F16" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Visit Number
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          349354
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V599" name="SegmentNo" files="F16" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V600" name="Stage2_Stratum" files="F16" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V601" name="Hhold_no" files="F16" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V602" name="NSS" files="F16" dcml="0" intrvl="contin">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <valrng>
        <range min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        2.423
      </sumStat>
      <sumStat type="stdev">
        2.392
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V603" name="NSC" files="F16" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <valrng>
        <range min="1" max="30"/>
      </valrng>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        4.836
      </sumStat>
      <sumStat type="stdev">
        4.785
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V604" name="MULT" files="F16" dcml="2" intrvl="contin">
      <location StartPos="44" EndPos="54" width="11" RecSegNo="1"/>
      <labl>
        MULT
      </labl>
      <valrng>
        <range min="706" max="54939088"/>
      </valrng>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        706
      </sumStat>
      <sumStat type="max">
        54939088
      </sumStat>
      <sumStat type="mean">
        1179644.658
      </sumStat>
      <sumStat type="stdev">
        1314555.526
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V605" name="ss_replicate" files="F16" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        ss-replicate
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V608" name="B7_q1" files="F16" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          leather boots, shoes (pair)
        </labl>
        <catStat type="freq">
          39678
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          leather sandals, chappals etc. (pair)
        </labl>
        <catStat type="freq">
          47626
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          other leather footwear (pair)
        </labl>
        <catStat type="freq">
          22098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          rubber / PVC footwear (pair)
        </labl>
        <catStat type="freq">
          94663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          other footwear (pair)
        </labl>
        <catStat type="freq">
          30677
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          footwear: s.t. (390-394)
        </labl>
        <catStat type="freq">
          114610
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V609" name="B7_q3" files="F16" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="64" width="6" RecSegNo="1"/>
      <labl>
        Quantity-365
      </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="323.1"/>
      </valrng>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        323.1
      </sumStat>
      <sumStat type="mean">
        0.321
      </sumStat>
      <sumStat type="stdev">
        0.896
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V610" name="B7_q4" files="F16" dcml="2" intrvl="contin">
      <location StartPos="65" EndPos="72" width="8" RecSegNo="1"/>
      <labl>
        Value-365
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of the items purchased by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="78085.42"/>
      </valrng>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        78085.42
      </sumStat>
      <sumStat type="mean">
        28.51
      </sumStat>
      <sumStat type="stdev">
        190.92
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V612" name="Food_code" files="F16" intrvl="discrete">
      <location StartPos="73" EndPos="73" width="1" RecSegNo="1"/>
      <labl>
        Food code
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V613" name="MPC_Code_R_U" files="F16" intrvl="discrete">
      <location StartPos="74" EndPos="75" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(R/U)
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

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

          RURAL 			URBAN
           (Rs.) 			  (Rs.)
1.        0 -  220 		    	0 - 290
2.     220 - 250 			290 - 330
3.     250 - 290			330 - 405
4.     290 - 330			405 - 480
5.     330 - 370			480 - 550
6.     370 - 410			550 - 630
7.     410 - 460			630 - 735
8.     460 - 515 			735 - 855
9.     515 - 605 			855 - 1040
10.   605 - 765 	                              1040 - 1315
11.   765 - 945 	                              1315 - 1535
12.   945 & above 	                              1535 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V614" name="MPC_Code_Combined" files="F16" intrvl="discrete">
      <location StartPos="76" EndPos="77" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(COMB)
      </labl>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V615" name="No_of_durables_on_use" files="F16" dcml="0" intrvl="contin">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        No. of durables onuse
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        349354
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V618" name="Wgt_SubSample" wgt="wgt" files="F16" dcml="2" intrvl="contin">
      <location StartPos="79" EndPos="87" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub Sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.765" max="137347.72"/>
      </valrng>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.765
      </sumStat>
      <sumStat type="max">
        137347.72
      </sumStat>
      <sumStat type="mean">
        2949.148
      </sumStat>
      <sumStat type="stdev">
        3286.356
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_SubSample= MULT/400
Wgt_SubSample= Wgt_SubSample*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V619" name="Wgt_Combined" wgt="wgt" files="F16" dcml="2" intrvl="contin">
      <location StartPos="88" EndPos="95" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.8825" max="68673.86"/>
      </valrng>
      <sumStat type="vald">
        349354
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.882
      </sumStat>
      <sumStat type="max">
        68673.86
      </sumStat>
      <sumStat type="mean">
        1479.611
      </sumStat>
      <sumStat type="stdev">
        1656.401
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_Combined= MULT/800, if NSC>NSS
Wgt_Combined= MULT/400, if NSC=NSS
Wgt_Combined= Wgt_Combined*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V646" name="HHID" files="F17" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining serial no. of  Village/Block, visit number, segment number, 2nd stg strm and  Sample Household Number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V620" name="ID" files="F17" intrvl="discrete">
      <location StartPos="12" EndPos="13" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          W3
        </catValu>
        <catStat type="freq">
          381274
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V621" name="RoundSchedule" files="F17" intrvl="discrete">
      <location StartPos="14" EndPos="16" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          551
        </catValu>
        <catStat type="freq">
          381274
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V622" name="Sector" files="F17" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        381274
      </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">
          205823
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          175451
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V623" name="State_region" files="F17" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        381274
      </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="V647" name="State" files="F17" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          23610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          3016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          13867
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          22861
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          1901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          16448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          7039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          9106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          9016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          16616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          20259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          25101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          33757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          6266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          4209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          4923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          3501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          12002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          13870
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          16082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          3276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          22862
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          6851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          45098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          25212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          1271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          3348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          970
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          1330
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          4894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          1860
        </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="V624" name="Stratum" files="F17" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        381274
      </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="V625" name="District" files="F17" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V626" name="SubRound" files="F17" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        381274
      </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">
          100032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          94780
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          94325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          92137
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V627" name="SubSample" files="F17" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        381274
      </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>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V628" name="Vill_Blk_Slno" files="F17" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V629" name="VisitNo" files="F17" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Visit Number
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          381274
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V630" name="SegmentNo" files="F17" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V631" name="Stage2_Stratum" files="F17" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V632" name="Hhold_no" files="F17" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V633" name="NSS" files="F17" dcml="0" intrvl="contin">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <valrng>
        <range min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        2.475
      </sumStat>
      <sumStat type="stdev">
        2.421
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V634" name="NSC" files="F17" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <valrng>
        <range min="1" max="30"/>
      </valrng>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        4.942
      </sumStat>
      <sumStat type="stdev">
        4.842
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V635" name="MULT" files="F17" dcml="2" intrvl="contin">
      <location StartPos="44" EndPos="54" width="11" RecSegNo="1"/>
      <labl>
        MULT
      </labl>
      <valrng>
        <range min="706" max="54939088"/>
      </valrng>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        706
      </sumStat>
      <sumStat type="max">
        54939088
      </sumStat>
      <sumStat type="mean">
        1143258.232
      </sumStat>
      <sumStat type="stdev">
        1270027.877
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V636" name="ss_replicate" files="F17" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        ss-replicate
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V639" name="B8_1_q1" files="F17" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          books, journals
        </labl>
        <catStat type="freq">
          62455
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          newspapers, periodicals
        </labl>
        <catStat type="freq">
          16466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          library charges
        </labl>
        <catStat type="freq">
          1747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          stationery
        </labl>
        <catStat type="freq">
          61220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          tuition and other fees (school, college, etc.)
        </labl>
        <catStat type="freq">
          43065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          private tutor/coaching centre
        </labl>
        <catStat type="freq">
          13841
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          other educational expenses
        </labl>
        <catStat type="freq">
          30202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          education: s.t. (400-406)
        </labl>
        <catStat type="freq">
          74775
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          medicine
        </labl>
        <catStat type="freq">
          22539
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          X-ray, ECG, pathological test etc.
        </labl>
        <catStat type="freq">
          5520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          doctor's/surgeon's fee
        </labl>
        <catStat type="freq">
          12970
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          hospital &amp; nursing home charges
        </labl>
        <catStat type="freq">
          6269
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          other medical expenses
        </labl>
        <catStat type="freq">
          6326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          medical - institutional: s.t. (410-414)
        </labl>
        <catStat type="freq">
          23878
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V640" name="B8_1_q3" files="F17" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="66" width="8" RecSegNo="1"/>
      <labl>
        Value-365
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of the items purchased by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="65753.76"/>
      </valrng>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        65753.76
      </sumStat>
      <sumStat type="mean">
        98.247
      </sumStat>
      <sumStat type="stdev">
        352.85
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V642" name="Food_code" files="F17" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        Food code
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V643" name="MPC_Code_R_U" files="F17" intrvl="discrete">
      <location StartPos="68" EndPos="69" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(R/U)
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

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

          RURAL 			URBAN
           (Rs.) 			  (Rs.)
1.        0 -  220 		    	0 - 290
2.     220 - 250 			290 - 330
3.     250 - 290			330 - 405
4.     290 - 330			405 - 480
5.     330 - 370			480 - 550
6.     370 - 410			550 - 630
7.     410 - 460			630 - 735
8.     460 - 515 			735 - 855
9.     515 - 605 			855 - 1040
10.   605 - 765 	                              1040 - 1315
11.   765 - 945 	                              1315 - 1535
12.   945 & above 	                              1535 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V644" name="MPC_Code_Combined" files="F17" intrvl="discrete">
      <location StartPos="70" EndPos="71" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(COMB)
      </labl>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V645" name="No_of_durables_on_use" files="F17" dcml="0" intrvl="contin">
      <location StartPos="72" EndPos="72" width="1" RecSegNo="1"/>
      <labl>
        No. of durables onuse
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        381274
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V648" name="Wgt_SubSample" wgt="wgt" files="F17" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="81" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub Sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.765" max="137347.72"/>
      </valrng>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.765
      </sumStat>
      <sumStat type="max">
        137347.72
      </sumStat>
      <sumStat type="mean">
        2858.189
      </sumStat>
      <sumStat type="stdev">
        3175.031
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_SubSample= MULT/400
Wgt_SubSample= Wgt_SubSample*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V649" name="Wgt_Combined" wgt="wgt" files="F17" dcml="2" intrvl="contin">
      <location StartPos="82" EndPos="89" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.8825" max="68673.86"/>
      </valrng>
      <sumStat type="vald">
        381274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.882
      </sumStat>
      <sumStat type="max">
        68673.86
      </sumStat>
      <sumStat type="mean">
        1432.319
      </sumStat>
      <sumStat type="stdev">
        1595.753
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_Combined= MULT/800, if NSC>NSS
Wgt_Combined= MULT/400, if NSC=NSS
Wgt_Combined= Wgt_Combined*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V676" name="HHID" files="F18" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining serial no. of  Village/Block, visit number, segment number, 2nd stg strm and  Sample Household Number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V650" name="ID" files="F18" intrvl="discrete">
      <location StartPos="12" EndPos="13" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          W3
        </catValu>
        <catStat type="freq">
          2176315
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V651" name="RoundSchedule" files="F18" intrvl="discrete">
      <location StartPos="14" EndPos="16" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          551
        </catValu>
        <catStat type="freq">
          2176315
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V652" name="Sector" files="F18" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        2176315
      </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">
          1150735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          1025580
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V653" name="State_region" files="F18" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        2176315
      </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="V677" name="State" files="F18" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          165756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          10561
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          65110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          147450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          10619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          109220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          34161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          44756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          44669
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          110267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          93017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          142777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          195614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          22110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          21358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          20110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          12643
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          65144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          72905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          89488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          19967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          174537
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          27639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          246549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          138341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          8554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          21010
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          5748
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          9180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          28880
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          4261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          13914
        </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="V654" name="Stratum" files="F18" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        2176315
      </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="V655" name="District" files="F18" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V656" name="SubRound" files="F18" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        2176315
      </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">
          536946
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          545017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          544299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          550053
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V657" name="SubSample" files="F18" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        2176315
      </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>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V658" name="Vill_Blk_Slno" files="F18" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V659" name="VisitNo" files="F18" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Visit Number
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2176315
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V660" name="SegmentNo" files="F18" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V661" name="Stage2_Stratum" files="F18" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V662" name="Hhold_no" files="F18" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V663" name="NSS" files="F18" dcml="0" intrvl="contin">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <valrng>
        <range min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        2.527
      </sumStat>
      <sumStat type="stdev">
        2.512
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V664" name="NSC" files="F18" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <valrng>
        <range min="1" max="30"/>
      </valrng>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        5.047
      </sumStat>
      <sumStat type="stdev">
        5.025
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V665" name="MULT" files="F18" dcml="2" intrvl="contin">
      <location StartPos="44" EndPos="54" width="11" RecSegNo="1"/>
      <labl>
        MULT
      </labl>
      <valrng>
        <range min="706" max="54939088"/>
      </valrng>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        706
      </sumStat>
      <sumStat type="max">
        54939088
      </sumStat>
      <sumStat type="mean">
        1192568.727
      </sumStat>
      <sumStat type="stdev">
        1309191.111
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V666" name="ss_replicate" files="F18" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        ss-replicate
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V669" name="B8_2_q1" files="F18" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          medicine
        </labl>
        <catStat type="freq">
          71921
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          X-ray, ECG, pathological test etc.
        </labl>
        <catStat type="freq">
          2423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          doctor's/surgeon's fee
        </labl>
        <catStat type="freq">
          25616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          family planning appliances
        </labl>
        <catStat type="freq">
          878
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          other medical expenses
        </labl>
        <catStat type="freq">
          4809
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          medical - non-institutional: s.t. (420-424)
        </labl>
        <catStat type="freq">
          73922
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          cinema, theatre
        </labl>
        <catStat type="freq">
          15950
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          mela, fair, picnic
        </labl>
        <catStat type="freq">
          3191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          sports goods, toys etc.
        </labl>
        <catStat type="freq">
          3683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          club fees
        </labl>
        <catStat type="freq">
          420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          goods for recreation and hobbies
        </labl>
        <catStat type="freq">
          731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          photography
        </labl>
        <catStat type="freq">
          1548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          video cassette / V.C.R. / V.C.P.(hire)
        </labl>
        <catStat type="freq">
          1355
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          other entertainment
        </labl>
        <catStat type="freq">
          13935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          entertainment : s.t. (430-437)
        </labl>
        <catStat type="freq">
          32964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          spectacles
        </labl>
        <catStat type="freq">
          833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          torch
        </labl>
        <catStat type="freq">
          1902
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          pen
        </labl>
        <catStat type="freq">
          13400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          lock
        </labl>
        <catStat type="freq">
          2031
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          umbrella, raincoat
        </labl>
        <catStat type="freq">
          3485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          lighter (bidi/cigarette/gas stove)
        </labl>
        <catStat type="freq">
          1532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          other goods for personal care and effects
        </labl>
        <catStat type="freq">
          6767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          goods for personal care and effects: s.t. (440-446)
        </labl>
        <catStat type="freq">
          23731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          toilet soap
        </labl>
        <catStat type="freq">
          115007
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          toothbrush, toothpaste etc.
        </labl>
        <catStat type="freq">
          85007
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          powder, snow, cream
        </labl>
        <catStat type="freq">
          46851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          hair oil, lotion, shampoo, hair cream
        </labl>
        <catStat type="freq">
          103998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          comb
        </labl>
        <catStat type="freq">
          8352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          shaving blades, shaving stick, razor
        </labl>
        <catStat type="freq">
          61765
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          shaving cream
        </labl>
        <catStat type="freq">
          19742
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          sanitary napkins
        </labl>
        <catStat type="freq">
          7442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          other toilet articles
        </labl>
        <catStat type="freq">
          30089
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          toilet articles: s.t. (450-458)
        </labl>
        <catStat type="freq">
          119289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          electric bulb, tubelight
        </labl>
        <catStat type="freq">
          24935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          electric batteries
        </labl>
        <catStat type="freq">
          5272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          other non-durable electric goods
        </labl>
        <catStat type="freq">
          799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          earthenware
        </labl>
        <catStat type="freq">
          8558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          glassware
        </labl>
        <catStat type="freq">
          2783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          bucket, water bottle/feeding bottle &amp; other plastic goods
        </labl>
        <catStat type="freq">
          5454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          coir, rope etc.
        </labl>
        <catStat type="freq">
          3282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          washing soap/soda
        </labl>
        <catStat type="freq">
          115071
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          other washing requisites
        </labl>
        <catStat type="freq">
          50984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          agarbati
        </labl>
        <catStat type="freq">
          75517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          flower(fresh) : all purposes
        </labl>
        <catStat type="freq">
          17964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          insecticide, acid etc.
        </labl>
        <catStat type="freq">
          8077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          other petty articles
        </labl>
        <catStat type="freq">
          29272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          sundry articles: s.t. (460-473)
        </labl>
        <catStat type="freq">
          119002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          domestic servant/cook
        </labl>
        <catStat type="freq">
          5546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          sweeper
        </labl>
        <catStat type="freq">
          5813
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          barber, beautician etc.
        </labl>
        <catStat type="freq">
          89914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          washerman, laundry, ironing
        </labl>
        <catStat type="freq">
          19326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          tailor
        </labl>
        <catStat type="freq">
          17202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          priest
        </labl>
        <catStat type="freq">
          9004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          486
        </catValu>
        <labl>
          legal expenses
        </labl>
        <catStat type="freq">
          585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          487
        </catValu>
        <labl>
          postage &amp; telegram
        </labl>
        <catStat type="freq">
          21017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          488
        </catValu>
        <labl>
          telephone charges
        </labl>
        <catStat type="freq">
          17865
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          repair charges for non-durables
        </labl>
        <catStat type="freq">
          6237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          grinding charges
        </labl>
        <catStat type="freq">
          62456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          miscellaneous expenses
        </labl>
        <catStat type="freq">
          40183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          pet animals (incl. birds, fish)
        </labl>
        <catStat type="freq">
          3455
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          other consumer services excluding conveyance
        </labl>
        <catStat type="freq">
          13812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          consumer services excluding conveyance: s.t. (480-494)
        </labl>
        <catStat type="freq">
          112868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          airway fare
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          railway fare
        </labl>
        <catStat type="freq">
          5394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          bus/tram fare
        </labl>
        <catStat type="freq">
          70326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          taxi, auto-rickshaw fare
        </labl>
        <catStat type="freq">
          18198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          steamer, boat fare
        </labl>
        <catStat type="freq">
          933
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          rickshaw (hand drawn &amp; cycle) fare
        </labl>
        <catStat type="freq">
          8326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          horse cart fare
        </labl>
        <catStat type="freq">
          1344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          porter charges
        </labl>
        <catStat type="freq">
          548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          petrol
        </labl>
        <catStat type="freq">
          14563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          diesel
        </labl>
        <catStat type="freq">
          977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          lubricating oil
        </labl>
        <catStat type="freq">
          5219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          school bus/van
        </labl>
        <catStat type="freq">
          1697
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          other hired conveyance
        </labl>
        <catStat type="freq">
          922
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          conveyance : s.t. (500-513)
        </labl>
        <catStat type="freq">
          87930
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          house rent, garage rent (actual)
        </labl>
        <catStat type="freq">
          16739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          residential land rent
        </labl>
        <catStat type="freq">
          4379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          consumer rent (other goods)
        </labl>
        <catStat type="freq">
          694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          rent: s.t. (520-522)
        </labl>
        <catStat type="freq">
          21486
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          house rent, garage rent (imputed- urban only)
        </labl>
        <catStat type="freq">
          29429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          water charges
        </labl>
        <catStat type="freq">
          22467
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          other consumer taxes &amp; cesses
        </labl>
        <catStat type="freq">
          27794
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          549
        </catValu>
        <labl>
          consumer taxes and cesses s.t. (540-541)
        </labl>
        <catStat type="freq">
          40022
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          599
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V670" name="B8_2_q3" files="F18" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="67" width="9" RecSegNo="1"/>
      <labl>
        Value-30
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of the items purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="600199.52"/>
      </valrng>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        600199.52
      </sumStat>
      <sumStat type="mean">
        91.187
      </sumStat>
      <sumStat type="stdev">
        718.576
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V672" name="Food_code" files="F18" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Food code
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V673" name="MPC_Code_R_U" files="F18" intrvl="discrete">
      <location StartPos="69" EndPos="70" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(R/U)
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

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

          RURAL 			URBAN
           (Rs.) 			  (Rs.)
1.        0 -  220 		    	0 - 290
2.     220 - 250 			290 - 330
3.     250 - 290			330 - 405
4.     290 - 330			405 - 480
5.     330 - 370			480 - 550
6.     370 - 410			550 - 630
7.     410 - 460			630 - 735
8.     460 - 515 			735 - 855
9.     515 - 605 			855 - 1040
10.   605 - 765 	                              1040 - 1315
11.   765 - 945 	                              1315 - 1535
12.   945 & above 	                              1535 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V674" name="MPC_Code_Combined" files="F18" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(COMB)
      </labl>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V675" name="No_of_durables_on_use" files="F18" dcml="0" intrvl="contin">
      <location StartPos="73" EndPos="74" width="2" RecSegNo="1"/>
      <labl>
        No. of durables onuse
      </labl>
      <valrng>
        <range min="1" max="10"/>
      </valrng>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat type="invd">
        2176311
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        3.25
      </sumStat>
      <sumStat type="stdev">
        4.5
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V678" name="Wgt_SubSample" wgt="wgt" files="F18" dcml="2" intrvl="contin">
      <location StartPos="75" EndPos="83" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub Sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.765" max="137347.72"/>
      </valrng>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.765
      </sumStat>
      <sumStat type="max">
        137347.72
      </sumStat>
      <sumStat type="mean">
        2981.455
      </sumStat>
      <sumStat type="stdev">
        3272.948
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_SubSample= MULT/400
Wgt_SubSample= Wgt_SubSample*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V679" name="Wgt_Combined" wgt="wgt" files="F18" dcml="2" intrvl="contin">
      <location StartPos="84" EndPos="91" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.8825" max="68673.86"/>
      </valrng>
      <sumStat type="vald">
        2176315
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.882
      </sumStat>
      <sumStat type="max">
        68673.86
      </sumStat>
      <sumStat type="mean">
        1494.491
      </sumStat>
      <sumStat type="stdev">
        1645.765
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_Combined= MULT/800, if NSC>NSS
Wgt_Combined= MULT/400, if NSC=NSS
Wgt_Combined= Wgt_Combined*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V342" name="HHID" files="F9" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining serial no. of  Village/Block, visit number, segment number, 2nd stg strm and  Sample Household Number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V313" name="ID" files="F9" intrvl="discrete">
      <location StartPos="12" EndPos="13" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          W3
        </catValu>
        <catStat type="freq">
          1096775
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V314" name="RoundSchedule" files="F9" intrvl="discrete">
      <location StartPos="14" EndPos="16" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          551
        </catValu>
        <catStat type="freq">
          1096775
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V315" name="Sector" files="F9" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        1096775
      </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">
          565729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          531046
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V316" name="State_region" files="F9" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        1096775
      </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="V343" name="State" files="F9" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          65675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          3624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          38274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          79163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          5854
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          61423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          21965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          26226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          21632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          46275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          45179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          79045
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          92525
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          9657
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          8501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          3523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          7797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          36681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          50910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          51476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          13860
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          67698
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          9263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          134484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          62867
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          4256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          13374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          3119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          5377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          17288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          3372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          6412
        </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="V317" name="Stratum" files="F9" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        1096775
      </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="V318" name="District" files="F9" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V319" name="SubRound" files="F9" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        1096775
      </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">
          251783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          274619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          281540
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          288833
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V320" name="SubSample" files="F9" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        1096775
      </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>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V321" name="Vill_Blk_Slno" files="F9" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V322" name="VisitNo" files="F9" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Visit Number
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1096775
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V323" name="SegmentNo" files="F9" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V324" name="Stage2_Stratum" files="F9" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V325" name="Hhold_no" files="F9" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V326" name="NSS" files="F9" dcml="0" intrvl="contin">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <valrng>
        <range min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        2.555
      </sumStat>
      <sumStat type="stdev">
        2.526
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V327" name="NSC" files="F9" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <valrng>
        <range min="1" max="30"/>
      </valrng>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        5.104
      </sumStat>
      <sumStat type="stdev">
        5.054
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V328" name="MULT" files="F9" dcml="2" intrvl="contin">
      <location StartPos="44" EndPos="54" width="11" RecSegNo="1"/>
      <labl>
        MULT
      </labl>
      <valrng>
        <range min="706" max="54939088"/>
      </valrng>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        706
      </sumStat>
      <sumStat type="max">
        54939088
      </sumStat>
      <sumStat type="mean">
        1131649.456
      </sumStat>
      <sumStat type="stdev">
        1269643.871
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V329" name="ss_replicate" files="F9" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        ss-replicate
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V332" name="B9_q1" files="F9" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          bedstead
        </labl>
        <catStat type="freq">
          95813
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          almirah, dressing table
        </labl>
        <catStat type="freq">
          51735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          chair, stool, bench, table
        </labl>
        <catStat type="freq">
          77283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          suitcase, trunk, box, handbag and other travel goods
        </labl>
        <catStat type="freq">
          91948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          foam, rubber cushion (dunlopillo type)
        </labl>
        <catStat type="freq">
          9669
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          555
        </catValu>
        <labl>
          carpet, daree &amp; other floor mattings
        </labl>
        <catStat type="freq">
          21992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          556
        </catValu>
        <labl>
          paintings, drawings, engravings etc.
        </labl>
        <catStat type="freq">
          5972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          557
        </catValu>
        <labl>
          other furniture &amp; fixtures (couch, sofa etc.)
        </labl>
        <catStat type="freq">
          876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          furniture &amp; fixtures: s.t. (550-557)
        </labl>
        <catStat type="freq">
          9560
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          gramophone &amp; record player
        </labl>
        <catStat type="freq">
          1522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          radio
        </labl>
        <catStat type="freq">
          41688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          television
        </labl>
        <catStat type="freq">
          46445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl>
          VCR/VCP
        </labl>
        <catStat type="freq">
          2981
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          564
        </catValu>
        <labl>
          camera &amp; photographic equipment
        </labl>
        <catStat type="freq">
          134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          565
        </catValu>
        <labl>
          tape recorder, CD player
        </labl>
        <catStat type="freq">
          23301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          gramophone record, audio/video cassette
        </labl>
        <catStat type="freq">
          4679
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          567
        </catValu>
        <labl>
          musical instruments
        </labl>
        <catStat type="freq">
          162
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          568
        </catValu>
        <labl>
          other goods for recreation
        </labl>
        <catStat type="freq">
          404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          569
        </catValu>
        <labl>
          goods for recreation: s.t.(560-568)
        </labl>
        <catStat type="freq">
          13453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          gold ornaments
        </labl>
        <catStat type="freq">
          4010
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          571
        </catValu>
        <labl>
          silver ornaments
        </labl>
        <catStat type="freq">
          3826
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          572
        </catValu>
        <labl>
          jewels, pearls
        </labl>
        <catStat type="freq">
          295
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          573
        </catValu>
        <labl>
          other ornaments
        </labl>
        <catStat type="freq">
          3556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          579
        </catValu>
        <labl><![CDATA[jewellery and  ornaments: s.t. (570-573)]]></labl>
        <catStat type="freq">
          9707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          stainless steel utensils
        </labl>
        <catStat type="freq">
          26637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          other metal utensils
        </labl>
        <catStat type="freq">
          9915
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          casseroles, thermos, thermoware
        </labl>
        <catStat type="freq">
          716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          other crockery &amp; utensils
        </labl>
        <catStat type="freq">
          9652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          589
        </catValu>
        <labl>
          crockery &amp; utensils: s.t. (580-583)
        </labl>
        <catStat type="freq">
          37030
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          590
        </catValu>
        <labl>
          electric fan
        </labl>
        <catStat type="freq">
          53775
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          air conditioner, air cooler
        </labl>
        <catStat type="freq">
          7481
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          lantern, lamp, electric lampshade
        </labl>
        <catStat type="freq">
          1634
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          593
        </catValu>
        <labl>
          sewing machine
        </labl>
        <catStat type="freq">
          17882
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          594
        </catValu>
        <labl>
          washing machine
        </labl>
        <catStat type="freq">
          5600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          595
        </catValu>
        <labl>
          stove
        </labl>
        <catStat type="freq">
          51078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          596
        </catValu>
        <labl>
          pressure cooker/pressure pan
        </labl>
        <catStat type="freq">
          37821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          597
        </catValu>
        <labl>
          refrigerator
        </labl>
        <catStat type="freq">
          15541
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          electric iron, heater, toaster, oven &amp; other electric heating appliances
        </labl>
        <catStat type="freq">
          953
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          other cooking/household appliances
        </labl>
        <catStat type="freq">
          2974
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          cooking and household appliances: s.t. (590-600)
        </labl>
        <catStat type="freq">
          20382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          bicycle
        </labl>
        <catStat type="freq">
          47827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          motor cycle, scooter
        </labl>
        <catStat type="freq">
          15189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          motor car, jeep
        </labl>
        <catStat type="freq">
          2486
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          tyres &amp; tubes
        </labl>
        <catStat type="freq">
          12327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          other transport equipment
        </labl>
        <catStat type="freq">
          865
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          personal transport equipment: s.t. (610-614)
        </labl>
        <catStat type="freq">
          48350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          glass eyes, hearing aids &amp; orthopaedic equipment
        </labl>
        <catStat type="freq">
          480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          other medical equipment
        </labl>
        <catStat type="freq">
          132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          629
        </catValu>
        <labl>
          therapeutic appliances : s.t. (620-621)
        </labl>
        <catStat type="freq">
          390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          clock, watch
        </labl>
        <catStat type="freq">
          59643
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          other machines for household work
        </labl>
        <catStat type="freq">
          135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          any other personal goods
        </labl>
        <catStat type="freq">
          766
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl>
          other personal goods: s.t. (630-632)
        </labl>
        <catStat type="freq">
          8935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          bathroom and sanitary equipment
        </labl>
        <catStat type="freq">
          608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          plugs, switches &amp; other electrical fittings
        </labl>
        <catStat type="freq">
          2737
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          residential building &amp; land (cost of repairs only)
        </labl>
        <catStat type="freq">
          35877
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          other durables (specify)...................
        </labl>
        <catStat type="freq">
          1428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          residential building, land and other durables : s.t. (640-643)
        </labl>
        <catStat type="freq">
          38510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          699
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V333" name="qn7" files="F9" dcml="0" intrvl="contin">
      <location StartPos="59" EndPos="62" width="4" RecSegNo="1"/>
      <labl>
        Quantity-7
      </labl>
      <valrng>
        <range min="0" max="1307"/>
      </valrng>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1307
      </sumStat>
      <sumStat type="mean">
        0.00217
      </sumStat>
      <sumStat type="stdev">
        1.364
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V334" name="vl7" files="F9" dcml="0" intrvl="contin">
      <location StartPos="63" EndPos="69" width="7" RecSegNo="1"/>
      <labl>
        Value-7
      </labl>
      <valrng>
        <range min="0" max="1346200"/>
      </valrng>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1346200
      </sumStat>
      <sumStat type="mean">
        1.434
      </sumStat>
      <sumStat type="stdev">
        1288.059
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V335" name="qn30" files="F9" dcml="0" intrvl="contin">
      <location StartPos="70" EndPos="75" width="6" RecSegNo="1"/>
      <labl>
        Quantity-30
      </labl>
      <valrng>
        <range min="0" max="245000"/>
      </valrng>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        245000
      </sumStat>
      <sumStat type="mean">
        4.881
      </sumStat>
      <sumStat type="stdev">
        360.395
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V336" name="vl30" files="F9" dcml="0" intrvl="contin">
      <location StartPos="76" EndPos="82" width="7" RecSegNo="1"/>
      <labl>
        Value-30
      </labl>
      <valrng>
        <range min="0" max="5698767"/>
      </valrng>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5698767
      </sumStat>
      <sumStat type="mean">
        2576.509
      </sumStat>
      <sumStat type="stdev">
        31117.712
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V338" name="Food_code" files="F9" intrvl="discrete">
      <location StartPos="83" EndPos="83" width="1" RecSegNo="1"/>
      <labl>
        Food code
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V339" name="MPC_Code_R_U" files="F9" intrvl="discrete">
      <location StartPos="84" EndPos="85" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(R/U)
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

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

          RURAL 			URBAN
           (Rs.) 			  (Rs.)
1.        0 -  220 		    	0 - 290
2.     220 - 250 			290 - 330
3.     250 - 290			330 - 405
4.     290 - 330			405 - 480
5.     330 - 370			480 - 550
6.     370 - 410			550 - 630
7.     410 - 460			630 - 735
8.     460 - 515 			735 - 855
9.     515 - 605 			855 - 1040
10.   605 - 765 	                              1040 - 1315
11.   765 - 945 	                              1315 - 1535
12.   945 & above 	                              1535 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V340" name="MPC_Code_Combined" files="F9" intrvl="discrete">
      <location StartPos="86" EndPos="87" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(COMB)
      </labl>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V341" name="No_of_durables_on_use" files="F9" dcml="0" intrvl="contin">
      <location StartPos="88" EndPos="90" width="3" RecSegNo="1"/>
      <labl>
        No. of durables onuse
      </labl>
      <valrng>
        <range min="0" max="800"/>
      </valrng>
      <sumStat type="vald">
        780567
      </sumStat>
      <sumStat type="invd">
        316208
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        800
      </sumStat>
      <sumStat type="mean">
        2.162
      </sumStat>
      <sumStat type="stdev">
        3.72
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V344" name="Wgt_SubSample" wgt="wgt" files="F9" dcml="2" intrvl="contin">
      <location StartPos="91" EndPos="99" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub Sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.765" max="137347.72"/>
      </valrng>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.765
      </sumStat>
      <sumStat type="max">
        137347.72
      </sumStat>
      <sumStat type="mean">
        2829.175
      </sumStat>
      <sumStat type="stdev">
        3174.065
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_SubSample= MULT/400
Wgt_SubSample= Wgt_SubSample*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V345" name="Wgt_Combined" wgt="wgt" files="F9" dcml="2" intrvl="contin">
      <location StartPos="100" EndPos="107" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.8825" max="68673.86"/>
      </valrng>
      <sumStat type="vald">
        1096775
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.882
      </sumStat>
      <sumStat type="max">
        68673.86
      </sumStat>
      <sumStat type="mean">
        1419.969
      </sumStat>
      <sumStat type="stdev">
        1606.963
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_Combined= MULT/800, if NSC>NSS
Wgt_Combined= MULT/400, if NSC=NSS
Wgt_Combined= Wgt_Combined*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V400" name="HHID" files="F10" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining serial no. of  Village/Block, visit number, segment number, 2nd stg strm and  Sample Household Number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V346" name="ID" files="F10" intrvl="discrete">
      <location StartPos="12" EndPos="13" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          W5
        </catValu>
        <catStat type="freq">
          240618
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V347" name="RoundSchedule" files="F10" intrvl="discrete">
      <location StartPos="14" EndPos="16" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          551
        </catValu>
        <catStat type="freq">
          240618
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V348" name="Sector" files="F10" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        240618
      </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">
          142770
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          97848
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V349" name="State_region" files="F10" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        240618
      </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="V401" name="State" files="F10" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          17974
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          2120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          8628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          19180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          10486
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          3780
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          5162
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          4960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          10466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          9238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          16578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          18710
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          2806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          2634
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          2572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          1488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          9054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          8070
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          10428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          2688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          16770
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          3200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          28140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          15964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          1890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          2536
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          1344
        </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="V350" name="Stratum" files="F10" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        240618
      </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="V351" name="District" files="F10" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V352" name="SubRound" files="F10" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        240618
      </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">
          60028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          60110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          60420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          60060
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V353" name="SubSample" files="F10" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        240618
      </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>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V354" name="Vill_Blk_Slno" files="F10" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V355" name="VisitNo" files="F10" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Visit Number
      </labl>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          240618
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V356" name="SegmentNo" files="F10" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V357" name="Stage2_Stratum" files="F10" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V358" name="Hhold_no" files="F10" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V359" name="NSS" files="F10" dcml="0" intrvl="contin">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <valrng>
        <range min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        2.358
      </sumStat>
      <sumStat type="stdev">
        2.311
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V360" name="NSC" files="F10" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <valrng>
        <range min="1" max="30"/>
      </valrng>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        4.707
      </sumStat>
      <sumStat type="stdev">
        4.622
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V361" name="MULT" files="F10" dcml="2" intrvl="contin">
      <location StartPos="44" EndPos="54" width="11" RecSegNo="1"/>
      <labl>
        MULT
      </labl>
      <valrng>
        <range min="706" max="54939088"/>
      </valrng>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        706
      </sumStat>
      <sumStat type="max">
        54939088
      </sumStat>
      <sumStat type="mean">
        1250806.491
      </sumStat>
      <sumStat type="stdev">
        1318354.385
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V362" name="ss_replicate" files="F10" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        ss-replicate
      </labl>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V365" name="B10_2_q1_1" files="F10" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        141111
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          001
        </catValu>
        <labl>
          firewood and chips
        </labl>
        <catStat type="freq">
          20802
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V366" name="B10_2_q4_1" files="F10" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="65" width="7" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="4000"/>
      </valrng>
      <sumStat type="vald">
        140240
      </sumStat>
      <sumStat type="invd">
        100378
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4000
      </sumStat>
      <sumStat type="mean">
        17.03
      </sumStat>
      <sumStat type="stdev">
        58.659
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V367" name="B10_2_q5_1" files="F10" dcml="2" intrvl="contin">
      <location StartPos="66" EndPos="72" width="7" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of non-food items purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3700"/>
      </valrng>
      <sumStat type="vald">
        141106
      </sumStat>
      <sumStat type="invd">
        99512
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3700
      </sumStat>
      <sumStat type="mean">
        17.099
      </sumStat>
      <sumStat type="stdev">
        57.164
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V368" name="B10_2_q1_2" files="F10" intrvl="discrete">
      <location StartPos="73" EndPos="75" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        139722
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          002
        </catValu>
        <labl>
          dung cake
        </labl>
        <catStat type="freq">
          19413
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V369" name="B10_2_q4_2" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="76" EndPos="81" width="6" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="210"/>
      </valrng>
      <sumStat type="vald">
        120335
      </sumStat>
      <sumStat type="invd">
        120283
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.01
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.03
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          120283
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V370" name="B10_2_q5_2" files="F10" dcml="2" intrvl="contin">
      <location StartPos="82" EndPos="88" width="7" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of non-food items purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1400"/>
      </valrng>
      <sumStat type="vald">
        139717
      </sumStat>
      <sumStat type="invd">
        100901
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1400
      </sumStat>
      <sumStat type="mean">
        10.08
      </sumStat>
      <sumStat type="stdev">
        37.07
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V371" name="B10_2_q1_3" files="F10" intrvl="discrete">
      <location StartPos="89" EndPos="91" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        120469
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          003
        </catValu>
        <labl>
          candle
        </labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V372" name="B10_2_q4_3" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="92" EndPos="97" width="6" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="200"/>
      </valrng>
      <sumStat type="vald">
        120459
      </sumStat>
      <sumStat type="invd">
        120159
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.05
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          120159
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V373" name="B10_2_q5_3" files="F10" dcml="2" intrvl="contin">
      <location StartPos="98" EndPos="103" width="6" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of non-food items purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="105"/>
      </valrng>
      <sumStat type="vald">
        120469
      </sumStat>
      <sumStat type="invd">
        120149
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        105
      </sumStat>
      <sumStat type="mean">
        0.0196
      </sumStat>
      <sumStat type="stdev">
        0.685
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V374" name="B10_2_q1_4" files="F10" intrvl="discrete">
      <location StartPos="104" EndPos="106" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        120997
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          004
        </catValu>
        <labl>
          clothing
        </labl>
        <catStat type="freq">
          688
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V375" name="B10_2_q4_4" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="107" EndPos="110" width="4" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="4"/>
      </valrng>
      <sumStat type="vald">
        120315
      </sumStat>
      <sumStat type="invd">
        120303
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          120303
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V376" name="B10_2_q5_4" files="F10" dcml="2" intrvl="contin">
      <location StartPos="111" EndPos="117" width="7" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of non-food items purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="7005"/>
      </valrng>
      <sumStat type="vald">
        120997
      </sumStat>
      <sumStat type="invd">
        119621
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        7005
      </sumStat>
      <sumStat type="mean">
        3.612
      </sumStat>
      <sumStat type="stdev">
        79.471
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V377" name="B10_2_q1_5" files="F10" intrvl="discrete">
      <location StartPos="118" EndPos="120" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        120554
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          005
        </catValu>
        <labl>
          footwear
        </labl>
        <catStat type="freq">
          245
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V378" name="B10_2_q4_5" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="121" EndPos="125" width="5" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="17"/>
      </valrng>
      <sumStat type="vald">
        120523
      </sumStat>
      <sumStat type="invd">
        120095
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.01
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.05
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          120095
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V379" name="B10_2_q5_5" files="F10" dcml="2" intrvl="contin">
      <location StartPos="126" EndPos="132" width="7" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of non-food items purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="3200"/>
      </valrng>
      <sumStat type="vald">
        120554
      </sumStat>
      <sumStat type="invd">
        120064
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3200
      </sumStat>
      <sumStat type="mean">
        0.887
      </sumStat>
      <sumStat type="stdev">
        29.888
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V380" name="B10_2_q1_6" files="F10" intrvl="discrete">
      <location StartPos="133" EndPos="135" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        120346
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          006
        </catValu>
        <labl>
          mats and matting
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V381" name="B10_2_q4_6" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="136" EndPos="139" width="4" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="4"/>
      </valrng>
      <sumStat type="vald">
        120343
      </sumStat>
      <sumStat type="invd">
        120275
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          120275
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V382" name="B10_2_q5_6" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="140" EndPos="145" width="6" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of non-food items purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="230"/>
      </valrng>
      <sumStat type="vald">
        120346
      </sumStat>
      <sumStat type="invd">
        120272
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          120272
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V383" name="B10_2_q1_7" files="F10" intrvl="discrete">
      <location StartPos="146" EndPos="148" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        120331
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          007
        </catValu>
        <labl>
          earthenware
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V384" name="B10_2_q4_7" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="149" EndPos="153" width="5" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="10"/>
      </valrng>
      <sumStat type="vald">
        120330
      </sumStat>
      <sumStat type="invd">
        120288
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.02
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          120288
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V385" name="B10_2_q5_7" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="154" EndPos="158" width="5" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of non-food items purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="60"/>
      </valrng>
      <sumStat type="vald">
        120331
      </sumStat>
      <sumStat type="invd">
        120287
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          120314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          120287
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V386" name="B10_2_q1_8" files="F10" intrvl="discrete">
      <location StartPos="159" EndPos="161" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        120507
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          008
        </catValu>
        <labl>
          basket
        </labl>
        <catStat type="freq">
          198
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V387" name="B10_2_q4_8" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="162" EndPos="166" width="5" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="30"/>
      </valrng>
      <sumStat type="vald">
        120492
      </sumStat>
      <sumStat type="invd">
        120126
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.01
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.05
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          120126
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V388" name="B10_2_q5_8" files="F10" dcml="2" intrvl="contin">
      <location StartPos="167" EndPos="172" width="6" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of non-food items purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="300"/>
      </valrng>
      <sumStat type="vald">
        120507
      </sumStat>
      <sumStat type="invd">
        120111
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        300
      </sumStat>
      <sumStat type="mean">
        0.0634
      </sumStat>
      <sumStat type="stdev">
        2.113
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V389" name="B10_2_q1_9" files="F10" intrvl="discrete">
      <location StartPos="173" EndPos="175" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        120418
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          009
        </catValu>
        <labl>
          coir, rope, etc.
        </labl>
        <catStat type="freq">
          109
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V390" name="B10_2_q4_9" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="176" EndPos="180" width="5" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="20"/>
      </valrng>
      <sumStat type="vald">
        120380
      </sumStat>
      <sumStat type="invd">
        120238
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.1
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.2
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.25
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.3
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.5
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.6
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1.8
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          120238
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V391" name="B10_2_q5_9" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="181" EndPos="186" width="6" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of non-food items purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="200"/>
      </valrng>
      <sumStat type="vald">
        120418
      </sumStat>
      <sumStat type="invd">
        120200
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          120345
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          120200
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V392" name="B10_2_q1_10" files="F10" intrvl="discrete">
      <location StartPos="187" EndPos="189" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        120376
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010
        </catValu>
        <labl>
          carpet, daree, other floor matting
        </labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V393" name="B10_2_q4_10" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="190" EndPos="195" width="6" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="974"/>
      </valrng>
      <sumStat type="vald">
        120365
      </sumStat>
      <sumStat type="invd">
        120253
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          120325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          0.02
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          974
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          120253
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V394" name="B10_2_q5_10" files="F10" dcml="2" intrvl="contin">
      <location StartPos="196" EndPos="201" width="6" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of non-food items purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="400"/>
      </valrng>
      <sumStat type="vald">
        120373
      </sumStat>
      <sumStat type="invd">
        120245
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        400
      </sumStat>
      <sumStat type="mean">
        0.0448
      </sumStat>
      <sumStat type="stdev">
        2.812
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V395" name="B10_2_q1_11" files="F10" intrvl="discrete">
      <location StartPos="202" EndPos="204" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        151275
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          011
        </catValu>
        <labl>
          total items [1 to 10]
        </labl>
        <catStat type="freq">
          30966
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V396" name="B10_2_q4_11" files="F10" dcml="2" intrvl="contin">
      <location StartPos="205" EndPos="211" width="7" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1100"/>
      </valrng>
      <sumStat type="vald">
        120342
      </sumStat>
      <sumStat type="invd">
        120276
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1100
      </sumStat>
      <sumStat type="mean">
        0.0465
      </sumStat>
      <sumStat type="stdev">
        5.031
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V397" name="B10_2_q5_11" files="F10" dcml="2" intrvl="contin">
      <location StartPos="212" EndPos="218" width="7" RecSegNo="1"/>
      <labl>
        Value
      </labl>
      <qstn>
        <qstnLit>
          What was the worth of non-food items purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8420"/>
      </valrng>
      <sumStat type="vald">
        151271
      </sumStat>
      <sumStat type="invd">
        89347
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8420
      </sumStat>
      <sumStat type="mean">
        28.988
      </sumStat>
      <sumStat type="stdev">
        123.554
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V398" name="MPC_Code_R_U" files="F10" intrvl="discrete">
      <location StartPos="219" EndPos="220" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(R/U)
      </labl>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

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

          RURAL 			URBAN
           (Rs.) 			  (Rs.)
1.        0 -  220 		    	0 - 290
2.     220 - 250 			290 - 330
3.     250 - 290			330 - 405
4.     290 - 330			405 - 480
5.     330 - 370			480 - 550
6.     370 - 410			550 - 630
7.     410 - 460			630 - 735
8.     460 - 515 			735 - 855
9.     515 - 605 			855 - 1040
10.   605 - 765 	                              1040 - 1315
11.   765 - 945 	                              1315 - 1535
12.   945 & above 	                              1535 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V399" name="MPC_Code_Combined" files="F10" intrvl="discrete">
      <location StartPos="221" EndPos="222" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(COMB)
      </labl>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V402" name="Wgt_SubSample" wgt="wgt" files="F10" dcml="2" intrvl="contin">
      <location StartPos="223" EndPos="231" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub Sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.765" max="137347.72"/>
      </valrng>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.765
      </sumStat>
      <sumStat type="max">
        137347.72
      </sumStat>
      <sumStat type="mean">
        3127.053
      </sumStat>
      <sumStat type="stdev">
        3295.852
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_SubSample= MULT/400
Wgt_SubSample= Wgt_SubSample*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V403" name="Wgt_Combined" wgt="wgt" files="F10" dcml="2" intrvl="contin">
      <location StartPos="232" EndPos="239" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.8825" max="68673.86"/>
      </valrng>
      <sumStat type="vald">
        240618
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.882
      </sumStat>
      <sumStat type="max">
        68673.86
      </sumStat>
      <sumStat type="mean">
        1568.709
      </sumStat>
      <sumStat type="stdev">
        1661.277
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_Combined= MULT/800, if NSC>NSS
Wgt_Combined= MULT/400, if NSC=NSS
Wgt_Combined= Wgt_Combined*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V456" name="HHID" files="F11" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining serial no. of  Village/Block, visit number, segment number, 2nd stg strm and  Sample Household Number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V404" name="ID" files="F11" intrvl="discrete">
      <location StartPos="12" EndPos="13" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          W5
        </catValu>
        <catStat type="freq">
          120310
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V405" name="RoundSchedule" files="F11" intrvl="discrete">
      <location StartPos="14" EndPos="16" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          551
        </catValu>
        <catStat type="freq">
          120310
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V406" name="Sector" files="F11" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        120310
      </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">
          71386
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          48924
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V407" name="State_region" files="F11" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        120310
      </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="V457" name="State" files="F11" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          8987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          1060
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          4314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          9590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          5243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          1890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          2581
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          2480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          5233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          4619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          8289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          9355
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          1403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          1317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          1286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          4527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          4036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          5214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          1344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          8385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          1600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          14070
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          7982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          1268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          672
        </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="V408" name="Stratum" files="F11" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        120310
      </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="V409" name="District" files="F11" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V410" name="SubRound" files="F11" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        120310
      </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">
          30015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          30055
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          30210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          30030
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V411" name="SubSample" files="F11" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        120310
      </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>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V412" name="Vill_Blk_Slno" files="F11" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V413" name="VisitNo" files="F11" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Visit Number
      </labl>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          120310
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V414" name="SegmentNo" files="F11" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V415" name="Stage2_Stratum" files="F11" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V416" name="Hhold_no" files="F11" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V417" name="NSS" files="F11" dcml="0" intrvl="contin">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <valrng>
        <range min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        2.358
      </sumStat>
      <sumStat type="stdev">
        2.311
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V418" name="NSC" files="F11" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <valrng>
        <range min="1" max="30"/>
      </valrng>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        4.707
      </sumStat>
      <sumStat type="stdev">
        4.622
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V419" name="MULT" files="F11" dcml="2" intrvl="contin">
      <location StartPos="44" EndPos="54" width="11" RecSegNo="1"/>
      <labl>
        MULT
      </labl>
      <valrng>
        <range min="706" max="54939088"/>
      </valrng>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        706
      </sumStat>
      <sumStat type="max">
        54939088
      </sumStat>
      <sumStat type="mean">
        1250806.121
      </sumStat>
      <sumStat type="stdev">
        1318351.652
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V420" name="ss_replicate" files="F11" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        ss-replicate
      </labl>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V423" name="Rec_type" files="F11" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Record type
      </labl>
      <sumStat type="vald">
        118574
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          118574
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V424" name="B11_q1_1" files="F11" intrvl="discrete">
      <location StartPos="57" EndPos="59" width="3" RecSegNo="1"/>
      <labl>
        Item 1
      </labl>
      <sumStat type="vald">
        114751
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          001
        </catValu>
        <labl>
          rice
        </labl>
        <catStat type="freq">
          114751
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V425" name="B11_q2_1" files="F11" intrvl="discrete">
      <location StartPos="60" EndPos="60" width="1" RecSegNo="1"/>
      <labl>
        Purchase type
      </labl>
      <qstn>
        <qstnLit>
          Has the household purchased the item in the last 30 days? If yes, from where it has been purchased?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        114751
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          only from P.D.S.
        </labl>
        <catStat type="freq">
          8983
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          only from other sources
        </labl>
        <catStat type="freq">
          62161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          from both sources
        </labl>
        <catStat type="freq">
          23523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          not purchased
        </labl>
        <catStat type="freq">
          20084
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V426" name="B11_q4_1" files="F11" dcml="2" intrvl="contin">
      <location StartPos="61" EndPos="67" width="7" RecSegNo="1"/>
      <labl>
        Quantity PDS
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household through public distribution system in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2500"/>
      </valrng>
      <sumStat type="vald">
        32491
      </sumStat>
      <sumStat type="invd">
        87819
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2500
      </sumStat>
      <sumStat type="mean">
        18.279
      </sumStat>
      <sumStat type="stdev">
        26.486
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V427" name="B11_q5_1" files="F11" dcml="2" intrvl="contin">
      <location StartPos="68" EndPos="74" width="7" RecSegNo="1"/>
      <labl>
        Value PDS
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of the item purchased by the household through public distribution system in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3700"/>
      </valrng>
      <sumStat type="vald">
        32482
      </sumStat>
      <sumStat type="invd">
        87828
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3700
      </sumStat>
      <sumStat type="mean">
        130.425
      </sumStat>
      <sumStat type="stdev">
        184.561
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V428" name="B11_q6_1" files="F11" dcml="2" intrvl="contin">
      <location StartPos="75" EndPos="83" width="9" RecSegNo="1"/>
      <labl>
        Quantity other
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household through other than PDS in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="120012"/>
      </valrng>
      <sumStat type="vald">
        85651
      </sumStat>
      <sumStat type="invd">
        34659
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        120012
      </sumStat>
      <sumStat type="mean">
        31.005
      </sumStat>
      <sumStat type="stdev">
        413.063
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V429" name="B11_q7_1" files="F11" dcml="2" intrvl="contin">
      <location StartPos="84" EndPos="91" width="8" RecSegNo="1"/>
      <labl>
        Value other
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of the item purchased by the household through other than PDS in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="15000"/>
      </valrng>
      <sumStat type="vald">
        85672
      </sumStat>
      <sumStat type="invd">
        34638
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15000
      </sumStat>
      <sumStat type="mean">
        334.79
      </sumStat>
      <sumStat type="stdev">
        319.964
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V430" name="B11_q1_2" files="F11" intrvl="discrete">
      <location StartPos="92" EndPos="94" width="3" RecSegNo="1"/>
      <labl>
        Item 2
      </labl>
      <sumStat type="vald">
        110269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          002
        </catValu>
        <labl>
          wheat/atta
        </labl>
        <catStat type="freq">
          110269
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V431" name="B11_q2_2" files="F11" intrvl="discrete">
      <location StartPos="95" EndPos="95" width="1" RecSegNo="1"/>
      <labl>
        Purchase type
      </labl>
      <qstn>
        <qstnLit>
          Has the household purchased the item in the last 30 days? If yes, from where it has been purchased?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        110269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          only from P.D.S.
        </labl>
        <catStat type="freq">
          10520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          only from other sources
        </labl>
        <catStat type="freq">
          53012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          from both sources
        </labl>
        <catStat type="freq">
          5847
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          not purchased
        </labl>
        <catStat type="freq">
          40890
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V432" name="B11_q4_2" files="F11" dcml="2" intrvl="contin">
      <location StartPos="96" EndPos="102" width="7" RecSegNo="1"/>
      <labl>
        Quantity PDS
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household through public distribution system in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2500.25"/>
      </valrng>
      <sumStat type="vald">
        16356
      </sumStat>
      <sumStat type="invd">
        103954
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2500.25
      </sumStat>
      <sumStat type="mean">
        8.406
      </sumStat>
      <sumStat type="stdev">
        23.098
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V433" name="B11_q5_2" files="F11" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="109" width="7" RecSegNo="1"/>
      <labl>
        Value PDS
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of the item purchased by the household through public distribution system in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="5000"/>
      </valrng>
      <sumStat type="vald">
        16331
      </sumStat>
      <sumStat type="invd">
        103979
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5000
      </sumStat>
      <sumStat type="mean">
        52.148
      </sumStat>
      <sumStat type="stdev">
        84.109
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V434" name="B11_q6_2" files="F11" dcml="2" intrvl="contin">
      <location StartPos="110" EndPos="116" width="7" RecSegNo="1"/>
      <labl>
        Quantity other
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household through other than PDS in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1500"/>
      </valrng>
      <sumStat type="vald">
        58803
      </sumStat>
      <sumStat type="invd">
        61507
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1500
      </sumStat>
      <sumStat type="mean">
        27.63
      </sumStat>
      <sumStat type="stdev">
        31.699
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V435" name="B11_q7_2" files="F11" dcml="2" intrvl="contin">
      <location StartPos="117" EndPos="124" width="8" RecSegNo="1"/>
      <labl>
        Value other
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of the item purchased by the household through other than PDS in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="30000"/>
      </valrng>
      <sumStat type="vald">
        58848
      </sumStat>
      <sumStat type="invd">
        61462
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30000
      </sumStat>
      <sumStat type="mean">
        220.243
      </sumStat>
      <sumStat type="stdev">
        249.94
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V436" name="B11_q1_3" files="F11" intrvl="discrete">
      <location StartPos="125" EndPos="127" width="3" RecSegNo="1"/>
      <labl>
        Item 3
      </labl>
      <sumStat type="vald">
        116993
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          003
        </catValu>
        <labl>
          sugar
        </labl>
        <catStat type="freq">
          116993
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V437" name="B11_q2_3" files="F11" intrvl="discrete">
      <location StartPos="128" EndPos="128" width="1" RecSegNo="1"/>
      <labl>
        Purchase type
      </labl>
      <qstn>
        <qstnLit>
          Has the household purchased the item in the last 30 days? If yes, from where it has been purchased?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        116993
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          only from P.D.S.
        </labl>
        <catStat type="freq">
          23039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          only from other sources
        </labl>
        <catStat type="freq">
          36672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          from both sources
        </labl>
        <catStat type="freq">
          49550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          not purchased
        </labl>
        <catStat type="freq">
          7732
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V438" name="B11_q4_3" files="F11" dcml="2" intrvl="contin">
      <location StartPos="129" EndPos="135" width="7" RecSegNo="1"/>
      <labl>
        Quantity PDS
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household through public distribution system in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2500"/>
      </valrng>
      <sumStat type="vald">
        72561
      </sumStat>
      <sumStat type="invd">
        47749
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2500
      </sumStat>
      <sumStat type="mean">
        2.965
      </sumStat>
      <sumStat type="stdev">
        29.22
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V439" name="B11_q5_3" files="F11" dcml="2" intrvl="contin">
      <location StartPos="136" EndPos="142" width="7" RecSegNo="1"/>
      <labl>
        Value PDS
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of the item purchased by the household through public distribution system in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3062.5"/>
      </valrng>
      <sumStat type="vald">
        72557
      </sumStat>
      <sumStat type="invd">
        47753
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3062.5
      </sumStat>
      <sumStat type="mean">
        27.398
      </sumStat>
      <sumStat type="stdev">
        23.804
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V440" name="B11_q6_3" files="F11" dcml="2" intrvl="contin">
      <location StartPos="143" EndPos="149" width="7" RecSegNo="1"/>
      <labl>
        Quantity other
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household through other than PDS in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="6000"/>
      </valrng>
      <sumStat type="vald">
        86204
      </sumStat>
      <sumStat type="invd">
        34106
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6000
      </sumStat>
      <sumStat type="mean">
        4.941
      </sumStat>
      <sumStat type="stdev">
        74.128
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V441" name="B11_q7_3" files="F11" dcml="2" intrvl="contin">
      <location StartPos="150" EndPos="156" width="7" RecSegNo="1"/>
      <labl>
        Value other
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of the item purchased by the household through other than PDS in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3105"/>
      </valrng>
      <sumStat type="vald">
        86208
      </sumStat>
      <sumStat type="invd">
        34102
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3105
      </sumStat>
      <sumStat type="mean">
        57.257
      </sumStat>
      <sumStat type="stdev">
        61.195
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V442" name="B11_q1_4" files="F11" intrvl="discrete">
      <location StartPos="157" EndPos="159" width="3" RecSegNo="1"/>
      <labl>
        Item 4
      </labl>
      <sumStat type="vald">
        115979
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          004
        </catValu>
        <labl>
          kerosene
        </labl>
        <catStat type="freq">
          115979
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V443" name="B11_q2_4" files="F11" intrvl="discrete">
      <location StartPos="160" EndPos="160" width="1" RecSegNo="1"/>
      <labl>
        Purchase type
      </labl>
      <qstn>
        <qstnLit>
          Has the household purchased the item in the last 30 days? If yes, from where it has been purchased?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        115979
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          only from P.D.S.
        </labl>
        <catStat type="freq">
          57888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          only from other sources
        </labl>
        <catStat type="freq">
          21940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          from both sources
        </labl>
        <catStat type="freq">
          19019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          not purchased
        </labl>
        <catStat type="freq">
          17132
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V444" name="B11_q4_4" files="F11" dcml="2" intrvl="contin">
      <location StartPos="161" EndPos="168" width="8" RecSegNo="1"/>
      <labl>
        Quantity PDS
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household through public distribution system in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="48015.4"/>
      </valrng>
      <sumStat type="vald">
        76798
      </sumStat>
      <sumStat type="invd">
        43512
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        48015.4
      </sumStat>
      <sumStat type="mean">
        5.315
      </sumStat>
      <sumStat type="stdev">
        173.286
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V445" name="B11_q5_4" files="F11" dcml="2" intrvl="contin">
      <location StartPos="169" EndPos="175" width="7" RecSegNo="1"/>
      <labl>
        Value PDS
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of the item purchased by the household through public distribution system in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1750"/>
      </valrng>
      <sumStat type="vald">
        76878
      </sumStat>
      <sumStat type="invd">
        43432
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1750
      </sumStat>
      <sumStat type="mean">
        18.485
      </sumStat>
      <sumStat type="stdev">
        17.881
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V446" name="B11_q6_4" files="F11" dcml="2" intrvl="contin">
      <location StartPos="176" EndPos="181" width="6" RecSegNo="1"/>
      <labl>
        Quantity other
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household through other than PDS in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="250"/>
      </valrng>
      <sumStat type="vald">
        40903
      </sumStat>
      <sumStat type="invd">
        79407
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        250
      </sumStat>
      <sumStat type="mean">
        5.15
      </sumStat>
      <sumStat type="stdev">
        5.997
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V447" name="B11_q7_4" files="F11" dcml="2" intrvl="contin">
      <location StartPos="182" EndPos="188" width="7" RecSegNo="1"/>
      <labl>
        Value other
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of the item purchased by the household through other than PDS in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8400"/>
      </valrng>
      <sumStat type="vald">
        40922
      </sumStat>
      <sumStat type="invd">
        79388
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8400
      </sumStat>
      <sumStat type="mean">
        47.992
      </sumStat>
      <sumStat type="stdev">
        71.896
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V448" name="B11_q1_5" files="F11" intrvl="discrete">
      <location StartPos="189" EndPos="191" width="3" RecSegNo="1"/>
      <labl>
        Item 5
      </labl>
      <sumStat type="vald">
        116237
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          005
        </catValu>
        <labl>
          total
        </labl>
        <catStat type="freq">
          116237
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V449" name="B11_q2_5" files="F11" intrvl="discrete">
      <location StartPos="192" EndPos="192" width="1" RecSegNo="1"/>
      <labl>
        Purchase type
      </labl>
      <qstn>
        <qstnLit>
          Has the household purchased the item in the last 30 days? If yes, from where it has been purchased?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V450" name="B11_q4_5" files="F11" dcml="2" intrvl="contin">
      <location StartPos="193" EndPos="199" width="7" RecSegNo="1"/>
      <labl>
        Quantity PDS
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household through public distribution system in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1064"/>
      </valrng>
      <sumStat type="vald">
        187
      </sumStat>
      <sumStat type="invd">
        120123
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1064
      </sumStat>
      <sumStat type="mean">
        81.591
      </sumStat>
      <sumStat type="stdev">
        147.246
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V451" name="B11_q5_5" files="F11" dcml="2" intrvl="contin">
      <location StartPos="200" EndPos="206" width="7" RecSegNo="1"/>
      <labl>
        Value PDS
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of the item purchased by the household through public distribution system in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="7281"/>
      </valrng>
      <sumStat type="vald">
        91496
      </sumStat>
      <sumStat type="invd">
        28814
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        7281
      </sumStat>
      <sumStat type="mean">
        92.862
      </sumStat>
      <sumStat type="stdev">
        147.382
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V452" name="B11_q6_5" files="F11" dcml="2" intrvl="contin">
      <location StartPos="207" EndPos="213" width="7" RecSegNo="1"/>
      <labl>
        Quantity other
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household through other than PDS in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2001"/>
      </valrng>
      <sumStat type="vald">
        366
      </sumStat>
      <sumStat type="invd">
        119944
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2001
      </sumStat>
      <sumStat type="mean">
        384.72
      </sumStat>
      <sumStat type="stdev">
        360.426
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V453" name="B11_q7_5" files="F11" dcml="2" intrvl="contin">
      <location StartPos="214" EndPos="221" width="8" RecSegNo="1"/>
      <labl>
        Value other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="30438"/>
      </valrng>
      <sumStat type="vald">
        110029
      </sumStat>
      <sumStat type="invd">
        10281
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30438
      </sumStat>
      <sumStat type="mean">
        441.126
      </sumStat>
      <sumStat type="stdev">
        388.198
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V454" name="MPC_Code_R_U" files="F11" intrvl="discrete">
      <location StartPos="222" EndPos="223" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(R/U)
      </labl>
      <sumStat type="vald">
        118574
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

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

          RURAL 			URBAN
           (Rs.) 			  (Rs.)
1.        0 -  220 		    	0 - 290
2.     220 - 250 			290 - 330
3.     250 - 290			330 - 405
4.     290 - 330			405 - 480
5.     330 - 370			480 - 550
6.     370 - 410			550 - 630
7.     410 - 460			630 - 735
8.     460 - 515 			735 - 855
9.     515 - 605 			855 - 1040
10.   605 - 765 	                              1040 - 1315
11.   765 - 945 	                              1315 - 1535
12.   945 & above 	                              1535 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V455" name="MPC_Code_Combined" files="F11" intrvl="discrete">
      <location StartPos="224" EndPos="225" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(COMB)
      </labl>
      <sumStat type="vald">
        118574
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V458" name="Wgt_SubSample" wgt="wgt" files="F11" dcml="2" intrvl="contin">
      <location StartPos="226" EndPos="234" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub Sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.765" max="137347.72"/>
      </valrng>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.765
      </sumStat>
      <sumStat type="max">
        137347.72
      </sumStat>
      <sumStat type="mean">
        3127.052
      </sumStat>
      <sumStat type="stdev">
        3295.845
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_SubSample= MULT/400
Wgt_SubSample= Wgt_SubSample*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V459" name="Wgt_Combined" wgt="wgt" files="F11" dcml="2" intrvl="contin">
      <location StartPos="235" EndPos="242" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.8825" max="68673.86"/>
      </valrng>
      <sumStat type="vald">
        120310
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.882
      </sumStat>
      <sumStat type="max">
        68673.86
      </sumStat>
      <sumStat type="mean">
        1568.709
      </sumStat>
      <sumStat type="stdev">
        1661.273
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_Combined= MULT/800, if NSC>NSS
Wgt_Combined= MULT/400, if NSC=NSS
Wgt_Combined= Wgt_Combined*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V488" name="HHID" files="F12" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining serial no. of  Village/Block, visit number, segment number, 2nd stg strm and  Sample Household Number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V460" name="ID" files="F12" intrvl="discrete">
      <location StartPos="12" EndPos="13" width="2" RecSegNo="1"/>
      <labl>
        ID
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          W6
        </catValu>
        <catStat type="freq">
          227625
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V461" name="RoundSchedule" files="F12" intrvl="discrete">
      <location StartPos="14" EndPos="16" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          551
        </catValu>
        <catStat type="freq">
          227625
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V462" name="Sector" files="F12" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        227625
      </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">
          133473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          94152
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V463" name="State_region" files="F12" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State region
      </labl>
      <sumStat type="vald">
        227625
      </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="V489" name="State" files="F12" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          13258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          1555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          13409
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          12931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          2416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          9574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          4426
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          5224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          2762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          9576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          13772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          14687
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          28473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          2190
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          1468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          1996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          1575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          6692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          5730
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          8549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          1795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          11883
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          3187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          29514
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          14149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          2105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          1268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          490
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          1233
        </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="V464" name="Stratum" files="F12" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Stratum number
      </labl>
      <sumStat type="vald">
        227625
      </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="V465" name="District" files="F12" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V466" name="SubRound" files="F12" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        227625
      </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">
          68019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          54225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          51655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          53726
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V467" name="SubSample" files="F12" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        227625
      </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>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V468" name="Vill_Blk_Slno" files="F12" intrvl="discrete">
      <location StartPos="29" EndPos="33" width="5" RecSegNo="1"/>
      <labl>
        Serial no of village / Block
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V469" name="VisitNo" files="F12" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Visit Number
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          227625
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V470" name="SegmentNo" files="F12" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Segment number
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V471" name="Stage2_Stratum" files="F12" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V472" name="Hhold_no" files="F12" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Sample Household number
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V473" name="NSS" files="F12" dcml="0" intrvl="contin">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <valrng>
        <range min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        2.327
      </sumStat>
      <sumStat type="stdev">
        2.345
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V474" name="NSC" files="F12" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <valrng>
        <range min="1" max="30"/>
      </valrng>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        4.647
      </sumStat>
      <sumStat type="stdev">
        4.695
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V475" name="MULT" files="F12" dcml="0" intrvl="contin">
      <location StartPos="44" EndPos="51" width="8" RecSegNo="1"/>
      <labl>
        MULT
      </labl>
      <valrng>
        <range min="706" max="54939088"/>
      </valrng>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        706
      </sumStat>
      <sumStat type="max">
        54939088
      </sumStat>
      <sumStat type="mean">
        1225876.906
      </sumStat>
      <sumStat type="stdev">
        1209672.078
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V476" name="ss_replicate" files="F12" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        ss-replicate
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V479" name="B13_q2" files="F12" intrvl="discrete">
      <location StartPos="53" EndPos="55" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          000
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          120309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          pan : leaf (no.)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          pan : finished (no.)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          supari (gm)
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          lime (gm)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          katha (gm)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          other ingredients for pan (gm)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          pan: s.t. (310-315)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          bidi (no.)
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          cigarettes (no.)
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          leaf tobacco
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          snuff (gm)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          hookah tobacco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          cheroot (no.)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          zarda, kimam, surti (gm)
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          other tobacco products (gm)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          tobacco: s.t. (320-327)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          ganja (gm)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          toddy (litre)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          country liquor (litre)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          beer (litre)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          foreign liquor or refined liquor (litre)
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          other intoxicants
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl><![CDATA[intoxicants:  s.t. (330-335)]]></labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          coke
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          firewood and chips
        </labl>
        <catStat type="freq">
          133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          electricity (std. unit)
        </labl>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          dung cake
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          kerosene - P.D.S. (litre)
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          kerosene - other sources (litre)
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          matches (box)
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          coal
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          L.P.G.
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          charcoal
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          candle (no.)
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          gobar gas
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          other fuel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          fuel and light: s.t. (340-353)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          dhoti (m)
        </labl>
        <catStat type="freq">
          237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          sari (m)
        </labl>
        <catStat type="freq">
          1478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          cloth for shirt, pyjama, salwar etc.(m)
        </labl>
        <catStat type="freq">
          1086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          cloth for coat, trousers, overcoat etc. (m)
        </labl>
        <catStat type="freq">
          304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          chaddar, dupatta, shawl etc.(no.)
        </labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          lungi (no.)
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          gamchha, towel, handkerchief (no.)
        </labl>
        <catStat type="freq">
          171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          hosiery articles, stockings, under-garments etc.(no.)
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl><![CDATA[ready-made garments   (no.)]]></labl>
        <catStat type="freq">
          704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          headwear (no.)
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          knitted garments, swea- ter, pullover, cardigan, muffler, scarf etc.(no.)
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          knitting wool, cotton yarn (gm)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          clothing: others
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          second-hand clothing
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          clothing: s.t. (360-374)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          bed sheet, bed cover (no.)
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          rug, blanket (no.)
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          pillow, quilt, mattress (no.)
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          cloth for upholstery, curtain, table-cloth etc. (m)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          mosquito net (no.)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          mats and matting (no.)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          cotton (gm)
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          bedding: others
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          bedding etc.: s.t. (380-387)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          leather boots, shoes (pair)
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          leather sandals, chappals etc. (pair)
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          other leather footwear (pair)
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          rubber / PVC footwear (pair)
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          other footwear (pair)
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          footwear: s.t. (390-394)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          books, journals
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          newspapers, periodicals
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          library charges
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          stationery
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          tuition and other fees (school, college, etc.)
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          private tutor/coaching centre
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          other educational expenses
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          education: s.t. (400-406)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          medicine
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          X-ray, ECG, pathological test etc.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          doctor's/surgeon's fee
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          hospital &amp; nursing home charges
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          other medical expenses
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          medical - institutional: s.t. (410-414)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          medicine
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          X-ray, ECG, pathological test etc.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          doctor's/surgeon's fee
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          family planning appliances
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          other medical expenses
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          medical - non-institutional: s.t. (420-424)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          cinema, theatre
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          mela, fair, picnic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          sports goods, toys etc.
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          club fees
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          goods for recreation and hobbies
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          photography
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          video cassette / V.C.R. / V.C.P.(hire)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          other entertainment
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          entertainment : s.t. (430-437)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          spectacles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          torch
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          pen
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          lock
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          umbrella, raincoat
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          lighter (bidi/cigarette/gas stove)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          other goods for personal care and effects
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          goods for personal care and effects: s.t. (440-446)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          toilet soap
        </labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          toothbrush, toothpaste etc.
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          powder, snow, cream
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          hair oil, lotion, shampoo, hair cream
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          comb
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          shaving blades, shaving stick, razor
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          shaving cream
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          sanitary napkins
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          other toilet articles
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          toilet articles: s.t. (450-458)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          electric bulb, tubelight
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          electric batteries
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          other non-durable electric goods
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          earthenware
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          glassware
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          bucket, water bottle/feeding bottle &amp; other plastic goods
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          coir, rope etc.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          washing soap/soda
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          other washing requisites
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          agarbati
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          flower(fresh) : all purposes
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          insecticide, acid etc.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          other petty articles
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          sundry articles: s.t. (460-473)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          domestic servant/cook
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          sweeper
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          barber, beautician etc.
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          washerman, laundry, ironing
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          tailor
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          priest
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          486
        </catValu>
        <labl>
          legal expenses
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          487
        </catValu>
        <labl>
          postage &amp; telegram
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          488
        </catValu>
        <labl>
          telephone charges
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          repair charges for non-durables
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          grinding charges
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          miscellaneous expenses
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          pet animals (incl. birds, fish)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          other consumer services excluding conveyance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          consumer services excluding conveyance: s.t. (480-494)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          airway fare
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          railway fare
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          bus/tram fare
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          taxi, auto-rickshaw fare
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          steamer, boat fare
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          rickshaw (hand drawn &amp; cycle) fare
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          horse cart fare
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          porter charges
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          petrol
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          diesel
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          lubricating oil
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          school bus/van
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          other hired conveyance
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          conveyance : s.t. (500-513)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          house rent, garage rent (actual)
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          residential land rent
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          consumer rent (other goods)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          rent: s.t. (520-522)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          house rent, garage rent (imputed- urban only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          water charges
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          other consumer taxes &amp; cesses
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          549
        </catValu>
        <labl>
          consumer taxes and cesses s.t. (540-541)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          bedstead
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          almirah, dressing table
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          chair, stool, bench, table
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          suitcase, trunk, box, handbag and other travel goods
        </labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          foam, rubber cushion (dunlopillo type)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          555
        </catValu>
        <labl>
          carpet, daree &amp; other floor mattings
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          556
        </catValu>
        <labl>
          paintings, drawings, engravings etc.
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          557
        </catValu>
        <labl>
          other furniture &amp; fixtures (couch, sofa etc.)
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          furniture &amp; fixtures: s.t. (550-557)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          gramophone &amp; record player
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          radio
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          television
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl>
          VCR/VCP
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          564
        </catValu>
        <labl>
          camera &amp; photographic equipment
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          565
        </catValu>
        <labl>
          tape recorder, CD player
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          gramophone record, audio/video cassette
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          567
        </catValu>
        <labl>
          musical instruments
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          568
        </catValu>
        <labl>
          other goods for recreation
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          569
        </catValu>
        <labl>
          goods for recreation: s.t.(560-568)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          gold ornaments
        </labl>
        <catStat type="freq">
          180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          571
        </catValu>
        <labl>
          silver ornaments
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          572
        </catValu>
        <labl>
          jewels, pearls
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          573
        </catValu>
        <labl>
          other ornaments
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          579
        </catValu>
        <labl><![CDATA[jewellery and  ornaments: s.t. (570-573)]]></labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          stainless steel utensils
        </labl>
        <catStat type="freq">
          435
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          other metal utensils
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          casseroles, thermos, thermoware
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          other crockery &amp; utensils
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          589
        </catValu>
        <labl>
          crockery &amp; utensils: s.t. (580-583)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          590
        </catValu>
        <labl>
          electric fan
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          air conditioner, air cooler
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          lantern, lamp, electric lampshade
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          593
        </catValu>
        <labl>
          sewing machine
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          594
        </catValu>
        <labl>
          washing machine
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          595
        </catValu>
        <labl>
          stove
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          596
        </catValu>
        <labl>
          pressure cooker/pressure pan
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          597
        </catValu>
        <labl>
          refrigerator
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          electric iron, heater, toaster, oven &amp; other electric heating appliances
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          other cooking/household appliances
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          cooking and household appliances: s.t. (590-600)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          bicycle
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          motor cycle, scooter
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          motor car, jeep
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          tyres &amp; tubes
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          other transport equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          personal transport equipment: s.t. (610-614)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          glass eyes, hearing aids &amp; orthopaedic equipment
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          other medical equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          629
        </catValu>
        <labl>
          therapeutic appliances : s.t. (620-621)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          clock, watch
        </labl>
        <catStat type="freq">
          119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          other machines for household work
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          any other personal goods
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl>
          other personal goods: s.t. (630-632)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          bathroom and sanitary equipment
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          plugs, switches &amp; other electrical fittings
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          residential building &amp; land (cost of repairs only)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          other durables (specify)...................
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          residential building, land and other durables : s.t. (640-643)
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl><![CDATA[durable  goods : total (559+569+579+589+609+619+629+639+649)]]></labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          all
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V480" name="B13_q5" files="F12" dcml="0" intrvl="contin">
      <location StartPos="56" EndPos="62" width="7" RecSegNo="1"/>
      <labl>
        Quantity for goods and services received
      </labl>
      <qstn>
        <qstnLit><![CDATA[How much quantity of goods and services received as part of wages and salaries or perquisites by the household during the last 30 days (only for  non-food items)?]]></qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1500000"/>
      </valrng>
      <sumStat type="vald">
        221926
      </sumStat>
      <sumStat type="invd">
        5699
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1500000
      </sumStat>
      <sumStat type="mean">
        33.589
      </sumStat>
      <sumStat type="stdev">
        4505.037
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V481" name="B13_q6" files="F12" dcml="0" intrvl="contin">
      <location StartPos="63" EndPos="70" width="8" RecSegNo="1"/>
      <labl>
        Value of goods and services received
      </labl>
      <qstn>
        <qstnLit><![CDATA[How much worth of goods and services received as part of wages and salaries or perquisites by the household during the last 30 days (only for  non-food items)?]]></qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="10355000"/>
      </valrng>
      <sumStat type="vald">
        222039
      </sumStat>
      <sumStat type="invd">
        5586
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10355000
      </sumStat>
      <sumStat type="mean">
        694.354
      </sumStat>
      <sumStat type="stdev">
        43088.328
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V482" name="B13_q7" files="F12" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="76" width="6" RecSegNo="1"/>
      <labl>
        Quantity of gifts given
      </labl>
      <qstn>
        <qstnLit><![CDATA[How much quantity of gifts given by the household during the last 30 days (only for  non-food items)?]]></qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="700000"/>
      </valrng>
      <sumStat type="vald">
        224450
      </sumStat>
      <sumStat type="invd">
        3175
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        700000
      </sumStat>
      <sumStat type="mean">
        32.033
      </sumStat>
      <sumStat type="stdev">
        2027.451
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V483" name="B13_q8" files="F12" dcml="0" intrvl="contin">
      <location StartPos="77" EndPos="84" width="8" RecSegNo="1"/>
      <labl>
        Value of gifts given
      </labl>
      <qstn>
        <qstnLit><![CDATA[How much worth of gifts given by the household during the last 30 days (only for  non-food items)?]]></qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="15269579"/>
      </valrng>
      <sumStat type="vald">
        224682
      </sumStat>
      <sumStat type="invd">
        2943
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15269579
      </sumStat>
      <sumStat type="mean">
        3629.745
      </sumStat>
      <sumStat type="stdev">
        78632.694
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V484" name="B13_q9" files="F12" dcml="0" intrvl="contin">
      <location StartPos="85" EndPos="91" width="7" RecSegNo="1"/>
      <labl>
        Quantity of gifts received
      </labl>
      <qstn>
        <qstnLit><![CDATA[How much quantity of gifts received by the household during the last 30 days (only for  non-food items)?]]></qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1200000"/>
      </valrng>
      <sumStat type="vald">
        223471
      </sumStat>
      <sumStat type="invd">
        4154
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1200000
      </sumStat>
      <sumStat type="mean">
        27.949
      </sumStat>
      <sumStat type="stdev">
        2955.402
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V485" name="B13_q10" files="F12" dcml="0" intrvl="contin">
      <location StartPos="92" EndPos="98" width="7" RecSegNo="1"/>
      <labl>
        Value of gifts received
      </labl>
      <qstn>
        <qstnLit><![CDATA[How much worth of gifts received by the household during the last 30 days (only for  non-food items)?]]></qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="4848800"/>
      </valrng>
      <sumStat type="vald">
        223571
      </sumStat>
      <sumStat type="invd">
        4054
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4848800
      </sumStat>
      <sumStat type="mean">
        1891.483
      </sumStat>
      <sumStat type="stdev">
        47597.756
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V486" name="MPC_Code_R_U" files="F12" intrvl="discrete">
      <location StartPos="99" EndPos="100" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(R/U)
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[MPCE classes :

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

          RURAL 			URBAN
           (Rs.) 			  (Rs.)
1.        0 -  220 		    	0 - 290
2.     220 - 250 			290 - 330
3.     250 - 290			330 - 405
4.     290 - 330			405 - 480
5.     330 - 370			480 - 550
6.     370 - 410			550 - 630
7.     410 - 460			630 - 735
8.     460 - 515 			735 - 855
9.     515 - 605 			855 - 1040
10.   605 - 765 	                              1040 - 1315
11.   765 - 945 	                              1315 - 1535
12.   945 & above 	                              1535 & above]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V487" name="MPC_Code_Combined" files="F12" intrvl="discrete">
      <location StartPos="101" EndPos="102" width="2" RecSegNo="1"/>
      <labl>
        MPC-CODE(COMB)
      </labl>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V490" name="Wgt_SubSample" wgt="wgt" files="F12" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="111" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub Sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.765" max="137347.72"/>
      </valrng>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1.765
      </sumStat>
      <sumStat type="max">
        137347.72
      </sumStat>
      <sumStat type="mean">
        3064.725
      </sumStat>
      <sumStat type="stdev">
        3024.147
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_SubSample= MULT/400
Wgt_SubSample= Wgt_SubSample*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V491" name="Wgt_Combined" wgt="wgt" files="F12" dcml="2" intrvl="contin">
      <location StartPos="112" EndPos="119" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.8825" max="68673.86"/>
      </valrng>
      <sumStat type="vald">
        227625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.882
      </sumStat>
      <sumStat type="max">
        68673.86
      </sumStat>
      <sumStat type="mean">
        1536.935
      </sumStat>
      <sumStat type="stdev">
        1519.917
      </sumStat>
      <codInstr><![CDATA[This variable has been derived as per the following formulae:
Wgt_Combined= MULT/800, if NSC>NSS
Wgt_Combined= MULT/400, if NSC=NSS
Wgt_Combined= Wgt_Combined*2, if Sector = '2' & State='32']]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
