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        <titl>NSSO_44_Schedule_29.2_Economic Activities of the Tribals</titl>
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        <titl>Economic Activities of the Tribals: NSS 44th Round, Schedule 29.2, July 1988 - June 1989</titl>
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          NSS 44th Round
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        <IDNo>DDI-IND-MOSPI-NSSO-44Rnd-Sch29pt2-July1988-June1989</IDNo>
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        <serInfo><![CDATA[The survey period of forty-fourth round was July 1988 to June 1989. The object of the enquiry in the present round is to throw light on as many aspects as possible of the tribal population of this country.  This relates to aspects of their “level of the living” including demographic and activity particulars, family expenditure etc. as well as to their entrepreneurial activities.

For the purpose of this enquiry, “tribal population” mean the members of the Scheduled Tribes declared under the Article 342 of the Constitution of India.  At present they form one of the economically weakest sections of the society.  So far there has not been any systematic study of their living conditions covering the whole country.   Whatever data are available are derived from the decennial censuses, apart from some micro studies carried out by social anthropologists.  In the NSS the tribal population has always been covered as part of the general population.  In NSS 32nd and 33rd rounds special surveys had been carried out through an integrated schedule (schedule 16.4) in the North-Eastern region.  The survey was conducted in the rural areas of the following States:- 32nd round : Arunachal Pradesh, Assam (N. Cachar and Karbi Anglong districts only),  Manipur, Meghalaya and  Tripura; 33rd round :  In addition to the above States, Mizoram also.   Even though this covered many aspects specially related to the life of the people of this region (who are mostly tribals), no such survey has so far been undertaken about the life of the tribals living in the main tribal belt stretching from West Bengal through Bihar, Orissa, Madhya Pradesh to Gujarat and Rajasthan.  It is the object of the enquiry on the living condition of the tribals living in the main tribal belt stretching from West Bengal through Bihar, Orissa, Madhya Pradesh to Gujarat and Rajasthan.)  

The objective of the survey on housing condition is to collect data on the living accommodation available to the households including aspects relating to their immediate environment.  Prior to this a detailed enquiry on housing condition with a separate schedule was carried out in NSS 28th round.  Some data on housing condition had been however collected in the consumer expenditure schedule canvassed in 32nd, 38th and 43rd rounds. 

The objective of the survey on current construction activity is to collect data on expenditure on building construction (new buildings as well as additions, alterations and improvements) and the source of the finance for the same.  The scope of the enquiry is confined mainly to building constructions in the household sector.  Constructions undertaken by housing cooperative societies and other non-household institutions such as clubs have also been covered.  However, constructions by government, public sector undertakings and the private corporate sector are outside the scope of the enquiry.

Because of the importance of the tribal enquiry in this round, it has been decided to extend the enquiry to the rural areas of Nagaland also which has so far been outside the coverage NSS.]]></serInfo>
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    <stdyInfo>
      <abstract>The 44th round started from July 1988.  The survey period of this round was July 1988 to June 1989. This round has been devoted to mainly three enquiries.  First and foremost, there has been an enquiry on the living condition of the tribal population.  Of the other two, one is concerned with the housing condition of the general population and the other is a survey on current building construction activity. For the purpose of this enquiry, “tribal population” mean the members of the Scheduled Tribes declared under the Article 342 of the Constitution of India.  They are known to be the descendants of the earliest inhabitants of India (hence called “Adivasis”).  At present, in most parts of India, they form one of the economically weakest sections of the society.  So far there has not been any systematic study of their living conditions covering the whole country.   Whatever data are available are derived from the decennial censuses, apart from some micro studies carried out by social anthropologists.  In the NSS the tribal population has always been covered as part of the general population.  In NSS 32nd and 33rd rounds special surveys had been carried out through an integrated schedule (schedule 16.4) in the North-Eastern region.  The survey was conducted in the rural areas of the following States:- 32nd round : Arunachal Pradesh, Assam (N. Cachar and Karbi Anglong districts only),  Manipur, Meghalaya and  Tripura; 33rd round :  In addition to the above States, Mizoram also.   Even though this covered many aspects specially related to the life of the people of this region (who are mostly tribals), no such survey has so far been undertaken about the life of the tribals living in the main tribal belt stretching from West Bengal through Bihar, Orissa, Madhya Pradesh to Gujarat and Rajasthan.  The scope of the enquiry is to understand   the living condition of the tribals living in the main tribal belt stretching from West Bengal through Bihar, Orissa, Madhya Pradesh to Gujarat and Rajasthan.)  The object of the enquiry in the this round is to throw light on as many aspects as possible of the tribal population of this country.  This relates to aspects of their “level of the living” including demographic and activity particulars, family expenditure etc. as well as to their entrepreneurial activities.</abstract>
      <sumDscr>
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        <collDate date="1988-09-30" event="end" cycle="Sub Round 1"/>
        <collDate date="1988-10-01" event="start" cycle="Sub Round 2"/>
        <collDate date="1988-12-31" event="end" cycle="Sub Round 2"/>
        <collDate date="1989-01-01" event="start" cycle="Sub Round 3"/>
        <collDate date="1989-03-31" event="end" cycle="Sub Round 3"/>
        <collDate date="1989-04-01" event="start" cycle="Sub Round 4"/>
        <collDate date="1989-06-30" event="end" cycle="Sub Round 4"/>
        <nation abbr="IND">India</nation>
        <geogCover>The survey covered the whole of Indian Union except Ladakh and Kargil districts of Jammu and  Kashmir state.  The rural areas of Nagaland, so far outside NSS coverage up to the 43rd round, have also been brought in this 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>
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      <notes><![CDATA[NSS Round 44 Schedule 29.2 has been designed to collect information on enterprise accounts, economic activity, land particulars and other related aspects of the tribal households. The major items include in this schedule are ownership particulars of land, alienation of land during last five years, input and output of the enterprises run by the household, materials collected from the forest, inventory of assets owned and indebtedness of the household. The schedule consists of 17 blocks as enumerated below:   

Block 1:	identification of sample household
Block 2:	particulars of field operations
Block 3:	remarks by investigator
Block 4:	remarks by supervisory officer (s)
Block 5:	household characteristics
Block 6:	demographic particulars of household members
Block 7:	particulars of assistance received by the household during last 3 years 
Block 8:	particulars of land owned and possessed
Block 9:	particulars of disposal of land during last 5 years
Block 10:	information on input items for cultivation during 1987-88
Block 11:	particulars of crops produced during 1987-88
Block 12:	particulars of wage employment in forest and forestry operation 	
Block 13:	particulars of forest produce collected, consumed at home and sold by household members during last 30 days as self-employed 
Block 14:	particulars of household enterprise (other than cultivation) during last 30 days
Block 15:	particulars of products (other than forest products) marketed during last 30 days
Block 16 :	 inventory of assets owned on the date of survey
Block 17 : cash dues and grain & other commodity dues payable by the household as on the date of survey and particulars of transaction of loans during last 365 days]]></notes>
      <subject>
        <keyword>Economic activities</keyword>
        <keyword>Tribals</keyword>
        <keyword>44th Round</keyword>
        <keyword>Schedule 29.2</keyword>
        <keyword>July 1988 - June 1989</keyword>
      </subject>
    </stdyInfo>
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        <sampProc>The sample design is stratified two-stage with the census village as the first stage unit in the rural sector and UFS block as the first stage unit in the urban sector.  The second stage units are households.

The sample design in the rural sector has been decided with a view to providing good estimates for the tribal enquiry.  Except in the north-eastern region, the tribal population is concentrated in some districts within the states having considerable tribal population and even in those districts they are found to be unevenly distributed geographically.  Therefore special stratification and selection procedures have been adopted not only to net sufficient number of tribal households in the sample but also to improve the design in general for the tribal enquiry.

While the rural design is oriented towards the tribal enquiry, the urban design is oriented towards the enquiry on construction. As building construction activity is found to be concentrated in some areas in the urban sector, attempts have been made in urban design to demarcate such areas in larger towns as separate strata.  Detailed description of the rural and urban sample designs are as follows:

SAMPLE DESIGN : RURAL

Sampling frame of villages:	
The list of 1981 census villages constitute  the sampling frame for selection of villages in most districts.  However in Assam (where '81 census was not done) and a few districts of some other states (where the available lists of villages were not satisfactory), 1971 census village lists have been used as frame.

Stratification :	  
In Haryana, Jammu &amp; Kashmir, Punjab, Chandigarh, Delhi, Goa, Daman &amp; Diu and Pondicherry where there are practically no tribal population, the strata used in NSS 43rd round were retained.  In Meghalaya, Mizoram, Nagaland, Arunachal Pradesh, Sikkim, Dadra and Nagar Haveli and Lakshadweep also the strata of 43rd round were retained because of the high percentage of ST population in these States/U.T.'s.  (The strata of 43rd round have been retained in the case of Sikkim as the distribution of tribal population is more or less uniform over all the districts). In the remaining states fresh stratification was carried out as described below.

In these states all districts accounting for the bulk of the state's tribal population were selected for formation of strata with concentration of tribal population. Besides these districts, tribal concentration strata have been demarcated also in some other districts with relatively small tribal population in order to ensure coverage of as many different ethnic groups as possible. 

Within each district so identified for formation of tribal concentration strata, the tehsils with relatively high concentration of tribal population, together constituted one stratum.  These tehsils were selected in such a way that together they accounted for the bulk (70% or  more) of the district tribal population and the proportion of tribal to total population  in this stratum was significantly greater than that of the district as a whole.  The strata so formed were not always geographically contiguous.  These tribal concentration strata are called STRATUM TYPE -1.   Further, all the strata of Meghalaya, Mizoram, Nagaland, Arunachal Pradesh, Dadra &amp; Nagar Haveli, Lakshadweep and Sikkim are also considered as stratum type-1.  All the remaining strata in the rural sector (in any State/U.T.)  are called stratum type -2.</sampProc>
        <deviat>
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        <collMode>Face-to-face [f2f]</collMode>
        <resInstru><![CDATA[NSS Round 44 Schedule 29.2 consists of 17 blocks as enumerated below:   

Block 1:	identification of sample household
Block 2:	particulars of field operations
Block 3:	remarks by investigator
Block 4:	remarks by supervisory officer (s)
Block 5:	household characteristics
Block 6:	demographic particulars of household members
Block 7:	particulars of assistance received by the household during last 3 years 
Block 8:	particulars of land owned and possessed
Block 9:	particulars of disposal of land during last 5 years
Block 10:	information on input items for cultivation during 1987-88
Block 11:	particulars of crops produced during 1987-88
Block 12:	particulars of wage employment in forest and forestry operation 	
Block 13:	particulars of forest produce collected, consumed at home and sold by household members during last 30 days as self-employed 
Block 14:	particulars of household enterprise (other than cultivation) during last 30 days
Block 15:	particulars of products (other than forest products) marketed during last 30 days
Block 16 :	 inventory of assets owned on the date of survey
Block 17 : cash dues and grain & other commodity dues payable by the household as on the date of survey and particulars of transaction of loans during last 365 days]]></resInstru>
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        <conditions>
          Validated unit level data relating to various survey rounds are available on CD-ROMS which can be obtained from the Deputy Director General, Computer Centre, M/O Statistics and PI, East Block No. 10 R.K. Puram, New Delhi-110066 by remitting the price along with packaging and postal charges as well as giving an undertaking duly signed in a specified format.The amount is to be remitted by way of demand draft drawn in favour of Pay &amp; Accounts Officer, Ministry of Statistics &amp; Programme Implementation, payable at New Delhi.
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      </fileType>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="record" var="V358 V360 V366 V361 V328">
      <labl>
        Geographical identifiers
      </labl>
    </varGrp>
    <var ID="V365" name="HHID" files="F12" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a household
      </labl>
      <sumStat type="vald">
        15814
      </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, Area Type, Sub Stratum and Sample Household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V324" name="RoundSchedule" files="F12" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V325" name="FlotNo" files="F12" intrvl="discrete">
      <location StartPos="12" EndPos="16" width="5" RecSegNo="1"/>
      <labl>
        Flot No.
      </labl>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V358" name="Sector" files="F12" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        15814
      </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">
          14192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          1622
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V359" name="Sample" files="F12" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample Type
      </labl>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Special
        </labl>
        <catStat type="freq">
          5381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          General
        </labl>
        <catStat type="freq">
          10433
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V360" name="St_Region" files="F12" intrvl="discrete">
      <location StartPos="19" EndPos="21" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <sumStat type="vald">
        15814
      </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="V366" name="State" files="F12" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          1042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          1234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          2524
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          1610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          581
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          1207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          980
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          937
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          14
        </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="V361" name="Stratum" files="F12" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        15814
      </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="V362" name="Stratum_type" files="F12" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Stratum type
      </labl>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal
        </labl>
        <catStat type="freq">
          13026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          2788
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V363" name="SubSample" files="F12" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          7875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          7939
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V326" name="Vill_Blk_Slno" files="F12" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V327" name="Area_type" files="F12" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Area Type
      </labl>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal majority hamlet
        </labl>
        <catStat type="freq">
          1318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other hamlet group
        </labl>
        <catStat type="freq">
          14496
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V328" name="Sub_Stratum" files="F12" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          15814
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V329" name="Hhold_no" files="F12" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V330" name="Sub_Round" files="F12" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          4031
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          4005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          3932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          3846
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V331" name="Level" files="F12" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          15814
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V334" name="Village_type" files="F12" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        Village type
      </labl>
      <sumStat type="vald">
        14998
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal majority
        </labl>
        <catStat type="freq">
          8146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          6826
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V335" name="Informant_code" files="F12" intrvl="discrete">
      <location StartPos="40" EndPos="40" width="1" RecSegNo="1"/>
      <labl>
        Informant's Reln. to Head
      </labl>
      <qstn>
        <qstnLit>
          What is informant's relation to head of the household?
        </qstnLit>
        <ivuInstr><![CDATA[The relationship of the principal informant (i.e. the person providing the bulk of the information) to the head of the household is to be recorded in the box space in terms of codes. The relevant codes are:
	head of the household …………. 1
	other member of the household …2
	others …………………………… 9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        15798
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head of household
        </labl>
        <catStat type="freq">
          13046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other member of the household
        </labl>
        <catStat type="freq">
          2428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          323
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V336" name="Resp_Code" files="F12" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Response Code
      </labl>
      <qstn>
        <ivuInstr><![CDATA[This item will be filled in after collecting all the required information for all items in the schedule. The entry is to be made in terms of codes on the basis of the impression formed by the investigator regarding the overall response of the informant. The codes are:

	informant co-operative and capable ………. 1
	informant co-operative but not capable …… 2
	informant busy …………………………….. 3   
	informant reluctant ………………………….4
	others ……………………………………….9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        15797
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cooperative &amp; capable
        </labl>
        <catStat type="freq">
          11206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Cooperative but not capable
        </labl>
        <catStat type="freq">
          4354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Busy
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Reluctant
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V337" name="Survey_Code" files="F12" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <qstn>
        <ivuInstr><![CDATA[Survey code: Whether the originally selected sample household has been surveyed or a substituted household has been surveyed will be indicated against this item by recording '1' if it is the originally selected sample household, and '2' if it is the  substituted one.  If neither the originally selected household nor the substituted household can be surveyed i.e., if the sample household is a casualty, code '3' will be recorded.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Original household surveyed
        </labl>
        <catStat type="freq">
          15717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Substitute household surveyed
        </labl>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Casualty (nothing surveyed)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V338" name="Casualty_Code" files="F12" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Casualty Code
      </labl>
      <qstn>
        <ivuInstr><![CDATA[If  the originally selected household cannot be surveyed, irrespective of whether a substitute household can be surveyed or not, the reason for  the originally selected household becoming a casualty will be recorded against this item in terms of codes. The   codes are :

	informants busy ………………….. 1
	members away from home ………. 2
	informant non-cooperative ………. 3
	others …………………………….. 9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        118
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Informant busy
        </labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Members away from home
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Informant non-cooperative
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V391" name="B5_q1" files="F12" dcml="0" intrvl="contin">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Household size
      </labl>
      <qstn>
        <qstnLit>
          How many members are there in the household?
        </qstnLit>
        <ivuInstr><![CDATA[Size of the sample household i.e. the total number of persons normally residing together (under the same roof) and taking food from the same kitchen (including temporary stay-aways and excluding temporary visitors)  will be recorded against this item. Total number of normal  resident  members of the household will be considered as its size. The  entry against this item will be equal to the last serial    number in col. (1) of block 6.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Household
A household is a group of persons who normally live together and take food from a common kitchen. However, a boarding house, a hotel or a hostel is treated as a cluster of households, where each individual boarder forms a separate household. If, however, a group of persons among them normally pooled their income for spending, they together are treated as  constituting a single household. Barracks of military and paramilitary forces, orphanages and vagrant-houses are excluded from the scope of the survey.

Household size: 
The size of a household is taken to be the number of members normally residing in it. This size includes temporary stay-aways but excludes temporary visitors and guests of the household.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V340" name="B5_q2" files="F12" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Livelihood class (Code)
      </labl>
      <qstn>
        <qstnLit>
          What are the means of livelihood for the household?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        15807
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          huntin g , trapping and gathering of forest produce
        </labl>
        <catStat type="freq">
          189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          shifting cultivation
        </labl>
        <catStat type="freq">
          1220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          livestock and poultry raising
        </labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          selected cultivation
        </labl>
        <catStat type="freq">
          5061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          collection of minor forest produces
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          other agricultural activities
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          self-employed in non-agriculture
        </labl>
        <catStat type="freq">
          700
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          agricultural labour
        </labl>
        <catStat type="freq">
          4643
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          plantation labour
        </labl>
        <catStat type="freq">
          337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          mining and quarrying labour
        </labl>
        <catStat type="freq">
          191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          manufacturing &amp; construction labour
        </labl>
        <catStat type="freq">
          835
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          2338
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V341" name="B5_q3a" files="F12" intrvl="discrete">
      <location StartPos="48" EndPos="50" width="3" RecSegNo="1"/>
      <labl>
        NIC Code
      </labl>
      <qstn>
        <qstnLit>
          Which industry is the principal earner working in?
        </qstnLit>
        <ivuInstr>
          The household industry -occupation determined according to the definition, three digit level industry (NIC, 1970) and occupation (NCO, 1968) codes for the household are to be recorded in the box spaces against item 3. The industry code will be recorded in the left most three box spaces followed by occupation code.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        15328
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V342" name="B5_q3b" files="F12" intrvl="discrete">
      <location StartPos="51" EndPos="53" width="3" RecSegNo="1"/>
      <labl>
        NCO Code
      </labl>
      <qstn>
        <qstnLit>
          What is the occupation of the principal earner of the household?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        15301
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V343" name="B5_q4" files="F12" intrvl="discrete">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        Name of the tribe (Code)
      </labl>
      <qstn>
        <qstnLit>
          What is the name of the tribe?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        15787
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V344" name="B5_q5" files="F12" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Religion (Code)
      </labl>
      <qstn>
        <qstnLit>
          What is the religion of the household?
        </qstnLit>
        <ivuInstr><![CDATA[Religion of the household will be recorded in terms of the specified code  in  this column. The codes are :
            
1	Hinduism
2	Islam
3	Christianity
4	Sikhism
5	Jainism
6	Buddhism
7	Zorastrianism
9	Others]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        15800
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Hinduism
        </labl>
        <catStat type="freq">
          11001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Islam
        </labl>
        <catStat type="freq">
          151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Christianity
        </labl>
        <catStat type="freq">
          2639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sikhism
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Jainism
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Buddhism
        </labl>
        <catStat type="freq">
          513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Zorastrianism
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          1339
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V345" name="B5_q6" files="F12" intrvl="discrete">
      <location StartPos="57" EndPos="57" width="1" RecSegNo="1"/>
      <labl>
        Sex of the head of the household
      </labl>
      <qstn>
        <qstnLit>
          What is the sex of the head of the household?
        </qstnLit>
        <ivuInstr><![CDATA[The     sex of the head of the household will be recorded against item 6 in terms of codes. The codes are :
	male ……… 1
	female …… 2]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          14366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          1447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V346" name="B5_q7" files="F12" dcml="2" intrvl="contin">
      <location StartPos="58" EndPos="64" width="7" RecSegNo="1"/>
      <labl>
        Land owned (0.00 acres)
      </labl>
      <qstn>
        <qstnLit>
          How much land is owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Particulars of land owned will be collected in details in block 8 of this schedule. The   total of the entries in col. (6) of block 8 will  give the area owned by the sample household and will be recorded against item 7 of block 5.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3504"/>
      </valrng>
      <sumStat type="vald">
        13991
      </sumStat>
      <sumStat type="invd">
        1823
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3504
      </sumStat>
      <sumStat type="mean">
        3.022
      </sumStat>
      <sumStat type="stdev">
        29.971
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V347" name="B5_q8" files="F12" dcml="2" intrvl="contin">
      <location StartPos="65" EndPos="71" width="7" RecSegNo="1"/>
      <labl>
        Land possessed (0.00 acres)
      </labl>
      <qstn>
        <qstnLit>
          How much land is possessed by the household?
        </qstnLit>
        <ivuInstr>
          The total land possessed by the household will, generally, be equal to the land 'owned' plus land 'leased in' minus land 'leased out'. Thus, land possessed will be worked out by subtracting the entry against 'total line' of col. (11) from the sum of the entries against 'total line' in col.(6) and (15) of block 8. However, if any household possesses some land which is neither owned nor leased in, then the area of such land will be added with the area of land possessed derived from block 8 and the total will be recorded in 0.00 acre against item 8.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3504"/>
      </valrng>
      <sumStat type="vald">
        14859
      </sumStat>
      <sumStat type="invd">
        955
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3504
      </sumStat>
      <sumStat type="mean">
        3.086
      </sumStat>
      <sumStat type="stdev">
        29.885
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V348" name="B5_q9" files="F12" intrvl="discrete">
      <location StartPos="72" EndPos="72" width="1" RecSegNo="1"/>
      <labl>
        Type of cultivation (Code)
      </labl>
      <qstn>
        <qstnLit>
          What type of cultivation method is followed by the household? Is it shifting or settled cultivation method?
        </qstnLit>
        <ivuInstr><![CDATA[Of the two types of cultivation, namely,     the settled and shifting, the    one in which the household was engaged during  the agricultural year 1987-88 will be shown against item 9 in terms of codes. If the household was engaged only in settled cultivation, code 1 would be recorded against this item and code 2 would be entered if the household was engaged only in shifting cultivation. The appropriate code would be 3 when the household carried out settled as well as shifting cultivation. Code 4  would be assigned to  those households who did not undertake any cultivation during  the reference period.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          settled cultivation
        </labl>
        <catStat type="freq">
          8424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          shifting cultivation
        </labl>
        <catStat type="freq">
          1141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          both
        </labl>
        <catStat type="freq">
          577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          none
        </labl>
        <catStat type="freq">
          5672
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V349" name="B5_q10" files="F12" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="79" width="7" RecSegNo="1"/>
      <labl>
        Area under settled cultivation (0.00 acres)
      </labl>
      <qstn>
        <qstnLit>
          How much area is under settled cultivation?
        </qstnLit>
        <ivuInstr><![CDATA[Depending upon the     entry against item 9, area under settled or under settled or under shifting cultivation or under both will  be recorded in 0.00 acre. Although there may not be much of a problem in collecting information in respect of settled cultivation, area under shifting cultivation may not be readily available. Plots of land under shifting cultivation are not usually measured in the way it is done in the case of plain land under settled cultivation. The informant may give some idea of the  length and breadth of the plots by some unconventional measures, such as, number of  foot steps, number of bamboo poles of certain length, seed ratio etc. The area will, thus, be estimated and converted into acres and then recorded here.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9999.99"/>
      </valrng>
      <sumStat type="vald">
        9988
      </sumStat>
      <sumStat type="invd">
        5826
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9999.99
      </sumStat>
      <sumStat type="mean">
        66.238
      </sumStat>
      <sumStat type="stdev">
        791.495
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V350" name="B5_q11" files="F12" dcml="2" intrvl="contin">
      <location StartPos="80" EndPos="86" width="7" RecSegNo="1"/>
      <labl>
        Area under shifting cultivation (0.00 acres)
      </labl>
      <qstn>
        <qstnLit>
          How much area is under shifting cultivation?
        </qstnLit>
        <ivuInstr><![CDATA[Depending upon the     entry against item 9, area under settled or under settled or under shifting cultivation or under both will  be recorded in 0.00 acre. Although there may not be much of a problem in collecting information in respect of settled cultivation, area under shifting cultivation may not be readily available. Plots of land under shifting cultivation are not usually measured in the way it is done in the case of plain land under settled cultivation. The informant may give some idea of the  length and breadth of the plots by some unconventional measures, such as, number of  foot steps, number of bamboo poles of certain length, seed ratio etc. The area will, thus, be estimated and converted into acres and then recorded here.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9999.99"/>
      </valrng>
      <sumStat type="vald">
        3566
      </sumStat>
      <sumStat type="invd">
        12248
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9999.99
      </sumStat>
      <sumStat type="mean">
        323.677
      </sumStat>
      <sumStat type="stdev">
        1766.638
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V351" name="B5_q12" files="F12" dcml="0" intrvl="contin">
      <location StartPos="87" EndPos="92" width="6" RecSegNo="1"/>
      <labl>
        Hhold consumer exp. out of home grown stock &amp; free collection (Rs) (last 30 days)
      </labl>
      <qstn>
        <qstnLit>
          How much did the household consume out of home grown stock &amp; free collection in terms of rupees in the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Consumer expenditure of a household is the expenditure incurred by it for the purpose of its  domestic consumption. Expenditure incurred by the household on account of its productive enterprises will not be taken into consideration in arriving at the household consumer expenditure. Total household consumption will consist of consumption made out of   

(i)	commodities and services purchased in cash or on credit.
(ii)	Commodities and services received in exchange of goods and services including those received from government under NREP, RLEGP etc.
(iii)	Home-grown/home-produced stock.
(iv)	Transfer receipts such as borrowings, gifts etc. 
(v)	Free collection.

The part of household consumer expenditure during 30 days preceding the date of survey made out of the goods produced by the household in its own farm and/ or non-farm enterprises and that made out of free collection will be added together and the total will be recorded in rupees against item 12. While for the commodities consumed from the home-grown/produced stock, evaluation will be done at the ex-farm or ex-factory price, for the commodities consumed out of free collection, the evaluation will be done at the average local retail price.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="140000"/>
      </valrng>
      <sumStat type="vald">
        13513
      </sumStat>
      <sumStat type="invd">
        2301
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        140000
      </sumStat>
      <sumStat type="mean">
        380.051
      </sumStat>
      <sumStat type="stdev">
        2774.069
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V352" name="B5_q13" files="F12" dcml="0" intrvl="contin">
      <location StartPos="93" EndPos="98" width="6" RecSegNo="1"/>
      <labl>
        Total Hhold consumer exp. (Rs) (last 30 days)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The total household consumer expenditure during the reference period of 30 days preceding the data of survey will be arrived at taking into consideration all the five constituent sources listed below :

(i)	commodities and services purchased in cash or on credit.
(ii)	Commodities and services received in exchange of goods and services including those received from government under NREP, RLEGP etc.
(iii)	Home-grown/home-produced stock.
(iv)	Transfer receipts such as borrowings, gifts etc. 
(v)	Free collection.

 and the same will be  recorded in rupees against item 13.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="140000"/>
      </valrng>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        140000
      </sumStat>
      <sumStat type="mean">
        819.969
      </sumStat>
      <sumStat type="stdev">
        2657.206
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V353" name="B5_q14" files="F12" dcml="2" intrvl="contin">
      <location StartPos="99" EndPos="105" width="7" RecSegNo="1"/>
      <labl>
        Hhold monthly per capita exp. (Rs 0.00)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The entry  against item 13 will be divided by the household size recorded against item 1 to derive the entry to be made against item 14. The entry  against this item will be made in rupees up to two places of decimal.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8333.33"/>
      </valrng>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8333.33
      </sumStat>
      <sumStat type="mean">
        166.89
      </sumStat>
      <sumStat type="stdev">
        273.025
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V354" name="B5_q15" files="F12" intrvl="discrete">
      <location StartPos="106" EndPos="106" width="1" RecSegNo="1"/>
      <labl>
        Whether hhold a member of a co-op. society
      </labl>
      <qstn>
        <qstnLit>
          Whether the household is a member of a co-operative society?
        </qstnLit>
        <ivuInstr>
          Code 1 will be recorded against this item if any member of the household is a member of a cooperative society of any type; otherwise code 2 may be entered against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        15776
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          1945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          13831
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V355" name="TypeCode" files="F12" intrvl="discrete">
      <location StartPos="107" EndPos="108" width="2" RecSegNo="1"/>
      <labl>
        Type Code
      </labl>
      <sumStat type="vald">
        15787
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V357" name="MPCE" files="F12" dcml="2" intrvl="contin">
      <location StartPos="109" EndPos="115" width="7" RecSegNo="1"/>
      <labl>
        HH MPCE (Rs 0.00)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8333.33"/>
      </valrng>
      <sumStat type="vald">
        15814
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8333.33
      </sumStat>
      <sumStat type="mean">
        166.89
      </sumStat>
      <sumStat type="stdev">
        273.025
      </sumStat>
      <txt><![CDATA[Household consumer expenditure: 
It is the expenditure of a household on domestic consumption only. It is the same as the expenditure covered in the consumer expenditure survey of the NSSO. Any expenditure incurred by the household on its enterprise account was excluded from consumer expenditure. 

Household monthly per capita consumer expenditure (MPCE): 
This was obtained from the household's total consumer expenditure during last 30 days divided by the household size and recorded in terms of rupees and paisas.]]></txt>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V26" name="PID" files="F1" intrvl="discrete">
      <location StartPos="1" EndPos="11" width="11" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a member in a household
      </labl>
      <sumStat type="vald">
        77784
      </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 member.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V24" name="HHID" files="F1" intrvl="discrete">
      <location StartPos="12" EndPos="19" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining  Serial no of village / Block, Area Type, Sub Stratum and Sample Household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1" name="RoundSchedule" files="F1" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2" name="FlotNo" files="F1" intrvl="discrete">
      <location StartPos="23" EndPos="27" width="5" RecSegNo="1"/>
      <labl>
        Flot No.
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V17" name="Sector" files="F1" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        77784
      </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">
          70853
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          6931
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V18" name="Sample" files="F1" intrvl="discrete">
      <location StartPos="29" EndPos="29" width="1" RecSegNo="1"/>
      <labl>
        Sample Type
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Special
        </labl>
        <catStat type="freq">
          27119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          General
        </labl>
        <catStat type="freq">
          50665
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V19" name="St_Region" files="F1" intrvl="discrete">
      <location StartPos="30" EndPos="32" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V25" name="State" files="F1" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          4360
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          2641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          6030
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          4609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          999
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          889
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          12645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          7562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          1781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          3030
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          3439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          5579
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          5205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          1694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          893
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          1868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          1137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          4417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          1117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          2142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          3211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          80
        </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="V20" name="Stratum" files="F1" intrvl="discrete">
      <location StartPos="35" EndPos="36" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        77784
      </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="V21" name="Stratum_type" files="F1" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Stratum type
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal
        </labl>
        <catStat type="freq">
          65393
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          12391
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V22" name="SubSample" files="F1" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          38593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          39191
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V3" name="Vill_Blk_Slno" files="F1" intrvl="discrete">
      <location StartPos="39" EndPos="43" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="Area_type" files="F1" intrvl="discrete">
      <location StartPos="44" EndPos="44" width="1" RecSegNo="1"/>
      <labl>
        Area Type
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal majority hamlet
        </labl>
        <catStat type="freq">
          6400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other hamlet group
        </labl>
        <catStat type="freq">
          71384
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V5" name="Sub_Stratum" files="F1" intrvl="discrete">
      <location StartPos="45" EndPos="45" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          77784
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V6" name="Hhold_no" files="F1" intrvl="discrete">
      <location StartPos="46" EndPos="46" width="1" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V7" name="Sub_Round" files="F1" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          19883
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          19714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          19176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          19011
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V8" name="Level" files="F1" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          77784
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V9" name="B6_q1" files="F1" intrvl="discrete">
      <location StartPos="50" EndPos="52" width="3" RecSegNo="1"/>
      <labl>
        Serial no. of member
      </labl>
      <qstn>
        <ivuInstr><![CDATA[A continuous serial number of all the normally resident members of the sample household listed in  this block is to be given in col. (1). While listing, the head of the household will be listed first, followed by head's spouse, the first son, first son's wife and children, etc. After the sons are enumerated, the daughters will be listed followed by other relatives, dependents, servants, etc.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V11" name="B6_q3" files="F1" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Relation to head code
      </labl>
      <qstn>
        <qstnLit>
          What is the relationship of the member to the head of the household?
        </qstnLit>
        <ivuInstr><![CDATA[The family relationship  of each member of the household with the head of the household  (for the  head,  the  relationship is 'self') expressed  in  terms  of specified codes will be recorded in this column.  The codes to be used are :

        description                      		      code

self ................................................    1
spouse of head ......................................    2
married child .......................................    3
spouse of married child .............................    4
unmarried child .....................................    5
grandchild ..........................................    6
father/mother/father-in-law/mother-in-law ...........    7
brother/sister/brother-in-law/sister-in-law/other        
relatives.............................................   8
servant/employee/other non-relatives ................    9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        77762
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
        <catStat type="freq">
          15802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse of head
        </labl>
        <catStat type="freq">
          13258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married child
        </labl>
        <catStat type="freq">
          3365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Spouse of married child
        </labl>
        <catStat type="freq">
          2814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unmarried child
        </labl>
        <catStat type="freq">
          32289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchild
        </labl>
        <catStat type="freq">
          4479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Father/mother/father-in-law/mother-in-law
        </labl>
        <catStat type="freq">
          2019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Brother/sister/brother-in-law/sister-in-law/other relations
        </labl>
        <catStat type="freq">
          3548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Servant/employee/or non-relatives
        </labl>
        <catStat type="freq">
          169
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V12" name="B6_q4" files="F1" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <qstn>
        <qstnLit>
          Is the member of the household a male or female?
        </qstnLit>
        <ivuInstr><![CDATA[The     sex of the members of the household will be recorded against item 4 in terms of codes. The codes are :
	male ……… 1
	female …… 2]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        77784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          40002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          37734
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V393" name="B6_q5" files="F1" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="56" width="2" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          What is the age of the member of the household?
        </qstnLit>
        <ivuInstr><![CDATA[The  age at last birthday in completed years of all the members listed in col. (1)  will  be ascertained and  recoded in col. (5). For a new born baby or a baby who has not completed one year of age on the date of survey, entry to be made in col. (5) will be '0'.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        77752
      </sumStat>
      <sumStat type="invd">
        32
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="B6_q6" files="F1" intrvl="discrete">
      <location StartPos="57" EndPos="57" width="1" RecSegNo="1"/>
      <labl>
        Marital status
      </labl>
      <qstn>
        <qstnLit>
          What is the marital status of the member of the household?
        </qstnLit>
        <ivuInstr><![CDATA[The marital status  of  each member  will be recorded in terms of the specified code  in  this column. The codes are :
                     description                       code
                 never married .....................  1
                 currently married .................  2
                 widowed............................  3
                 divorced/separated ................  4]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        77735
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          39803
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Currently married
        </labl>
        <catStat type="freq">
          33966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          3558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/separated
        </labl>
        <catStat type="freq">
          402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V15" name="B6_q7" files="F1" intrvl="discrete">
      <location StartPos="58" EndPos="59" width="2" RecSegNo="1"/>
      <labl>
        Education
      </labl>
      <qstn>
        <qstnLit>
          What is the education level of the member of the household?
        </qstnLit>
        <ivuInstr><![CDATA[Information regarding the general education attained by the normal members of the household listed in col. (1) will be recorded in this col. in terms of the specified code numbers. 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 first year B.A., his educational attainment will be considered only secondary/higher secondary. Also,  for a person who has studied up to 12th standard but  has not sat for the final examination or has failed or even passed in the examination, his educational attainment will be considered secondary/higher secondary. The relevant codes to be used for recording entries in this column are:

01	not literate
02	literate without formal schooling 
03	literate but below primary
04	primary
05	middle
06	secondary
07	higher secondary
08	diploma / certificate course in agriculture
09	diploma / certificate course in engineering & technology
10	diploma / certificate course in other subjects
11	 graduate & above in agriculture 
12	 graduate & above in engineering & technology 
13	 graduate & above in medicines 
14	 graduate & above in other subjects]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        77668
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          not literate
        </labl>
        <catStat type="freq">
          52841
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          literate without formal schooling
        </labl>
        <catStat type="freq">
          2173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          literate but below primary
        </labl>
        <catStat type="freq">
          8139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          primary
        </labl>
        <catStat type="freq">
          6920
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          middle
        </labl>
        <catStat type="freq">
          4562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          secondary
        </labl>
        <catStat type="freq">
          1641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          higher secondary
        </labl>
        <catStat type="freq">
          677
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          diploma / certificate course in agriculture
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          diploma / certificate course in engineering &amp; technology
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          diploma / certificate course in other subjects
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          graduate &amp; above in agriculture
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          graduate &amp; above in engineering &amp; technology
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          graduate &amp; above in medicines
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          graduate &amp; above in other subjects
        </labl>
        <catStat type="freq">
          256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V51" name="HHID" files="F2" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining  Serial no of village / Block, Area Type, Sub Stratum and Sample Household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V27" name="RoundSchedule" files="F2" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V28" name="FlotNo" files="F2" intrvl="discrete">
      <location StartPos="12" EndPos="16" width="5" RecSegNo="1"/>
      <labl>
        Flot No.
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V44" name="Sector" files="F2" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        147925
      </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">
          133781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          14144
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V45" name="Sample" files="F2" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample Type
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Special
        </labl>
        <catStat type="freq">
          51674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          General
        </labl>
        <catStat type="freq">
          96251
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V46" name="St_Region" files="F2" intrvl="discrete">
      <location StartPos="19" EndPos="21" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <sumStat type="vald">
        147925
      </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="V52" name="State" files="F2" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          10140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          3488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          12070
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          9280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          1919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          1580
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          1611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          24931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          15857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          2654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          5031
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          7118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          11912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          9608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          3305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          2086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          3166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          1327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          8551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          1124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          3259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          1482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          1176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          5110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          140
        </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="V47" name="Stratum" files="F2" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        147925
      </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="V48" name="Stratum_type" files="F2" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Stratum type
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal
        </labl>
        <catStat type="freq">
          122765
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          25160
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V49" name="SubSample" files="F2" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          73544
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          74381
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V29" name="Vill_Blk_Slno" files="F2" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V30" name="Area_type" files="F2" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Area Type
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal majority hamlet
        </labl>
        <catStat type="freq">
          12552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other hamlet group
        </labl>
        <catStat type="freq">
          135373
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V31" name="Sub_Stratum" files="F2" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          147925
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V32" name="Hhold_no" files="F2" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V33" name="Sub_Round" files="F2" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          36919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          37779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          37029
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          36198
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V34" name="Level" files="F2" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          147925
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V35" name="B7_q1" files="F2" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Serial no. of item
      </labl>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V37" name="B7_q3" files="F2" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Whether recd assistance
      </labl>
      <qstn>
        <qstnLit>
          Whether the household received assistance?
        </qstnLit>
        <ivuInstr><![CDATA[It is  to be enquired for each of the items listed in col. (2) whether the household has received during last 3 years any assistance in the form of subsidy and loan. The entry will be made in terms of codes: yes-1;  no-2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        147925
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          3062
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          144863
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V38" name="B7_q4" files="F2" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Source (Code)
      </labl>
      <qstn>
        <qstnLit>
          If the household received assistance, then what was the source of this assistance?
        </qstnLit>
        <ivuInstr><![CDATA[If some assistance is received for an item, agency providing the assistance will be recorded in this column in specified codes given below:

	government department    ………………….. 1
	commercial bank   …………………………. 2
	others   ……………………………………... 3]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        3060
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          government department
        </labl>
        <catStat type="freq">
          2476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          commercial bank
        </labl>
        <catStat type="freq">
          437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V394" name="B7_q5" files="F2" dcml="0" intrvl="contin">
      <location StartPos="44" EndPos="49" width="6" RecSegNo="1"/>
      <labl>
        Value of assistance (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          If the household received assistance, then how much was the value in rupees of this assistance?
        </qstnLit>
        <ivuInstr><![CDATA[If the entry in col. (3) against an item is 1, total value of the assistance received during the last 3 years for the item will be recorded in col. (5) in  rupees. When the  assistance is partly in the form of subsidy and partly as loan, the total of subsidy and loan will be recorded here.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        3035
      </sumStat>
      <sumStat type="invd">
        144890
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="B7_q6" files="F2" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Whether assistance is for physical assets
      </labl>
      <qstn>
        <qstnLit>
          If the household received assistance, then whether this assistance was for physical assets?
        </qstnLit>
        <ivuInstr>
          When an assistance for an item is received by the household during last 3 years, it is to be further enquired whether the assistance has been given for obtaining physical asset. If yes the entry in column (6) will be 1; otherwise 2 will be entered in that column.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        3062
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          1749
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          1313
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V41" name="B7_q7" files="F2" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        If yes in q6 whether still possessed
      </labl>
      <qstn>
        <qstnLit>
          If the household received assistance in the form of physical assets, then whether this physical asset is still possessed?
        </qstnLit>
        <ivuInstr><![CDATA[If the household has received the assistance for owning a physical asset (i.e. if the code in col. (6) is 1), a further enquiry is to be made to determine whether the said asset is still under the possession of the household on the date of survey. If the entire asset is under the possession of the household, the entry in col. (7) against that item will be 1. If,  on the other hand,  only part of the physical asset is possessed by the household on the date of survey, the relevant entry in col. (7) will be 2. The appropriate code in col. (7) will be (3),)  when the asset is not in the possession of the household.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        1749
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          entire asset possessed
        </labl>
        <catStat type="freq">
          1265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          part possessed
        </labl>
        <catStat type="freq">
          177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          not possessed
        </labl>
        <catStat type="freq">
          297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V42" name="B7_q8" files="F2" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        If 2 or 3 in q7, reason for non-possession
      </labl>
      <qstn>
        <qstnLit>
          If the household received assistance in the form of physical assets and this physical asset is not possessed now, then what was the reason for non-possession?
        </qstnLit>
        <ivuInstr><![CDATA[If the household does not possess the physical asset, received as assistance during last 3 years, in its entirety (i.e. if the code in col. (7) is either 2 or 3), the reason for non-possession will be recorded in terms of codes as given below:

		sold   ………………………………… 1
		mortgaged   ………………………….. 2
		consumed   ………………………….. 3
		died   ………………………………… 4
		destroyed by natural calamities   ……. 5
		destroyed by wild animals   …………. 6
		usurped by others   …………………... 7
		others   ……………………………….. 8]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        474
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sold
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          mortgaged
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          consumed
        </labl>
        <catStat type="freq">
          214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          died
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          destroyed by natural calamities
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          destroyed by wild animals
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          usurped by others
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V86" name="HHID" files="F3" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining  Serial no of village / Block, Area Type, Sub Stratum and Sample Household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V53" name="RoundSchedule" files="F3" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V54" name="FlotNo" files="F3" intrvl="discrete">
      <location StartPos="12" EndPos="16" width="5" RecSegNo="1"/>
      <labl>
        Flot No.
      </labl>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V79" name="Sector" files="F3" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        30194
      </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">
          28988
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          1206
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V80" name="Sample" files="F3" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample Type
      </labl>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Special
        </labl>
        <catStat type="freq">
          12225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          General
        </labl>
        <catStat type="freq">
          17969
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V81" name="St_Region" files="F3" intrvl="discrete">
      <location StartPos="19" EndPos="21" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <sumStat type="vald">
        30194
      </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="V87" name="State" files="F3" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          1642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          933
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          3988
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          5477
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          1345
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          623
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          1154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          1377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          2575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          3440
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          1890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          162
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V82" name="Stratum" files="F3" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        30194
      </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="V83" name="Stratum_type" files="F3" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Stratum type
      </labl>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal
        </labl>
        <catStat type="freq">
          27128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          3066
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V84" name="SubSample" files="F3" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          15121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          15073
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V55" name="Vill_Blk_Slno" files="F3" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V56" name="Area_type" files="F3" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Area Type
      </labl>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal majority hamlet
        </labl>
        <catStat type="freq">
          2653
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other hamlet group
        </labl>
        <catStat type="freq">
          27541
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V57" name="Sub_Stratum" files="F3" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          30194
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V58" name="Hhold_no" files="F3" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V59" name="Sub_Round" files="F3" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          7444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          7742
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          7328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          7680
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V60" name="Level" files="F3" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          30194
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V61" name="B8_q1" files="F3" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Serial no. of plot
      </labl>
      <qstn>
        <ivuInstr><![CDATA[Serial number of plots either owned or leased in by the household as on the date of survey, will be recorded in col. (1). The plots will be listed in the following order:

(i)	the plots owned   wholly or partly by  the household will be listed first;

(ii)	next, the plots partially owned and partially leased in, if    any,  will be recorded;

(iii)	finally, the plots taken on lease wholly of partly and possessed on the date of survey will be listed.

	The last line of the block will give the grand total of the entries.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        30194
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V63" name="B8_q3" files="F3" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Location (Code)
      </labl>
      <qstn>
        <qstnLit>
          What is the location of the plot?
        </qstnLit>
        <ivuInstr><![CDATA[The location of the plot in terms of codes is to be entered in this column. The location codes are different for rural households and urban households and are as follows:

	for rural schedules 			for urban schedules	

	 within village  …………… 1		within sample town  …………… 1
	  outside village:			outside sample town:			
	  in the rural sector  ………. 2	                  in the urban sector  …………… 2
	  in the urban sector  ………3	 	  in the rural sector  …………….. 3]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        30108
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V64" name="B8_q4" files="F3" dcml="2" intrvl="contin">
      <location StartPos="43" EndPos="49" width="7" RecSegNo="1"/>
      <labl>
        Geographical area of plot (0.00 acres)
      </labl>
      <qstn>
        <qstnLit>
          How much is the geographical area of the plot?
        </qstnLit>
        <ivuInstr><![CDATA[The total geographical area of the plot (that is, the survey or sub-survey number) will be recorded in 0.00 acre in column (4), even when only part of it is owned or leased in by  the household.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="4113.34"/>
      </valrng>
      <sumStat type="vald">
        30092
      </sumStat>
      <sumStat type="invd">
        102
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4113.34
      </sumStat>
      <sumStat type="mean">
        1.552
      </sumStat>
      <sumStat type="stdev">
        23.868
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V65" name="B8_q5" files="F3" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Area quoted from
      </labl>
      <qstn>
        <qstnLit>
          Whether the area of the plot quoted from document or from memory?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        28470
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          area quoted from document
        </labl>
        <catStat type="freq">
          5595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          area quoted from memory
        </labl>
        <catStat type="freq">
          22760
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V66" name="B8_q6" files="F3" dcml="2" intrvl="contin">
      <location StartPos="51" EndPos="57" width="7" RecSegNo="1"/>
      <labl>
        Area owned (0.00 acres)
      </labl>
      <qstn>
        <qstnLit>
          How much is the area owned?
        </qstnLit>
        <ivuInstr>
          If the entire plot is owned by the members of household, the total owned area, which is the total geographical area will be recorded in acres up to two places of decimal in column (6). If, however, the plot is owned jointly by two or more households, the actual area owned by the members of the household is quoted from some document by the informant, code 1 will be entered in col. (5); otherwise code 2 will be recorded.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3504"/>
      </valrng>
      <sumStat type="vald">
        28484
      </sumStat>
      <sumStat type="invd">
        1710
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3504
      </sumStat>
      <sumStat type="mean">
        1.484
      </sumStat>
      <sumStat type="stdev">
        20.948
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V67" name="B8_q7" files="F3" intrvl="discrete">
      <location StartPos="58" EndPos="58" width="1" RecSegNo="1"/>
      <labl>
        Type of ownership (Code)
      </labl>
      <qstn>
        <qstnLit>
          What is the type of ownership? Is the title clear?
        </qstnLit>
        <ivuInstr><![CDATA[A plot may be possessed by a tribal household according  to traditional tribal rights. Generally, a plot of land is given to the household by local chieftains or village/district council. The holder of such land may or may not possess a title of ownership. Even if the household does not possess a title of ownership, it will be deemed to have owner like possession without title provided the household has the right of long term use of the land. Government is aware of the situation and in some states has taken various measures to confer titles to the owner of those lands. In column (7), information on the status of ownership of each plot will be collected. The entries will be made in codes as given below: 

		with title  ………………………………… 1
		without title but applied for  …………….. 2
		without  title and not applied for  ……….. 3
		customary title   …………………………. 4

One of the codes 1 to 3 will be applicable in those states where Government has already conferred titles or is taking measures towards that direction. Code 4  will be given in cases where a plot is owned according to tribal rights and where (in states or districts) Government has not yet taken any step towards conferring titles to individuals.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        28470
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          with title
        </labl>
        <catStat type="freq">
          21683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          without title but applied for
        </labl>
        <catStat type="freq">
          753
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          without title and not applied for
        </labl>
        <catStat type="freq">
          1433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          customary title
        </labl>
        <catStat type="freq">
          4438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          163
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V68" name="B8_q8" files="F3" intrvl="discrete">
      <location StartPos="59" EndPos="59" width="1" RecSegNo="1"/>
      <labl>
        How acquired (Code)
      </labl>
      <qstn>
        <qstnLit>
          How the plot was acquired?
        </qstnLit>
        <ivuInstr><![CDATA[For each plot owned by the household on the date of survey, it is to be ascertained as to how the plot was  acquired by the household. The entries in this                 column will be made in terms of codes as given below: 

		inherited  …………………………………….. 1
		purchased from tribals  ……………………….2
		purchased from non-tribals  …………………..3
		allotted by government  …………………….. 4
		allotted by the village/district council etc  ….. 5
		received as gift  ………………………………6
		alienated land restored  ………………………7
		others  ………………………………………. 9

Most of the codes are self-explanatory. As regards code 7, it may be mentioned that disposal of land by a tribal to non-tribals is not legal. If such disposal took place in the past, the triblas were entitled to get the land restored. Code 7 will be entered in col.(8) when such restoration takes place.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        28470
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          inherited
        </labl>
        <catStat type="freq">
          22250
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          purchased from tribals
        </labl>
        <catStat type="freq">
          741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          purchased from non-tribals
        </labl>
        <catStat type="freq">
          572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          allotment by govt.
        </labl>
        <catStat type="freq">
          1802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          allotment by district council/ village council etc.
        </labl>
        <catStat type="freq">
          1278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          gift
        </labl>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          alienated land restored
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          1497
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V69" name="B8_q9" files="F3" intrvl="discrete">
      <location StartPos="60" EndPos="60" width="1" RecSegNo="1"/>
      <labl>
        From whom acquired (Code)
      </labl>
      <qstn>
        <qstnLit>
          From whom the plot was acquired?
        </qstnLit>
        <ivuInstr><![CDATA[The previous owners from whom the plots of land have been acquired are classified into certain groups. After ascertaining the appropriate group, the relevant code will be entered in this column. The codes are as follows: 

		own tribe of the same village  …………. 1
		own tribe of other village/town  ……….. 2
		other tribe  ………………………………3
		non-tribals  ……………………………...4
		others  …………………………………..5]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        28470
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          own tribe of the same village
        </labl>
        <catStat type="freq">
          20694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          own tribe of the other village
        </labl>
        <catStat type="freq">
          300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          other tribe
        </labl>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          non-tribals
        </labl>
        <catStat type="freq">
          585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          6785
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V70" name="B8_q10" files="F3" dcml="0" intrvl="contin">
      <location StartPos="61" EndPos="62" width="2" RecSegNo="1"/>
      <labl>
        Period since acquired (years)
      </labl>
      <qstn>
        <qstnLit>
          Since how many years the plot has been acquired?
        </qstnLit>
        <ivuInstr>
          Number of years elapsed since the acquisition took place will be recorded in this column in completed years against each plot owned by the household.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        28470
      </sumStat>
      <sumStat type="invd">
        1724
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        24.581
      </sumStat>
      <sumStat type="stdev">
        24.161
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V71" name="B8_q11" files="F3" dcml="2" intrvl="contin">
      <location StartPos="63" EndPos="68" width="6" RecSegNo="1"/>
      <labl>
        Area leased out (0.00 acres)
      </labl>
      <qstn>
        <qstnLit>
          How much area has been leased out?
        </qstnLit>
        <ivuInstr><![CDATA[The actual area leased out by the household is to be recorded in this column in acres up to two  places of decimal.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="131.04"/>
      </valrng>
      <sumStat type="vald">
        905
      </sumStat>
      <sumStat type="invd">
        29289
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        131.04
      </sumStat>
      <sumStat type="mean">
        1.501
      </sumStat>
      <sumStat type="stdev">
        6
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V72" name="B8_q12" files="F3" intrvl="discrete">
      <location StartPos="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        Terms of lease (Code)
      </labl>
      <qstn>
        <qstnLit>
          What are the terms of lease?
        </qstnLit>
        <ivuInstr><![CDATA[Information on the terms of lease on which the land has been leased out will be recorded in column (12) in terms of codes as specified below:

		for fixed money  ……………………………… 1
		for fixed produce  …………….. ………………2
		for share of produce  …………………………. 3
		for share of produce with other terms  ……….. 4    
		under usufructuary  mortgage  ……………….. 5
		under other terms  ……………………………. 9

It may be noted here that a lease agreement may be made verbally or in writing. Most of the terms are self- explanatory. However, it may be noted that household under crop sharing basis will mean that the owner of land receives a stipulated share of the produce but does not participate in the work nor does he organize or conduct agricultural operations on that plot of land which he has leased out. Further, usufructuary mortgage is a type of mortage in which the mortgagor (the person who mortgages the property) retains the ownership of his land but the possession of the land is transferred to the mortgagee (i.e. the person to whom the land is mortgaged) till the fore-closure of the deed.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl><![CDATA[for fixed money  ]]></labl>
        <catStat type="freq">
          234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          for fixed produce
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          for share of produce
        </labl>
        <catStat type="freq">
          243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          for share of produce with other terms
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl><![CDATA[under usufructuary  mortgage ]]></labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          under other terms
        </labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V73" name="B8_q13" files="F3" intrvl="discrete">
      <location StartPos="70" EndPos="70" width="1" RecSegNo="1"/>
      <labl>
        To whom leased out (Code)
      </labl>
      <qstn>
        <qstnLit>
          To whom the plot has been leased out?
        </qstnLit>
        <ivuInstr>
          Information on the type of lessee household will be recorded in this column in terms of codes. The codes are same as those provided for column (9) .
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          own tribe of the same village
        </labl>
        <catStat type="freq">
          414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          own tribe of the other village
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          other tribe
        </labl>
        <catStat type="freq">
          49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          non-tribals
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V74" name="B8_q14" files="F3" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        Period since acquired (years)
      </labl>
      <qstn>
        <qstnLit>
          Since how many years the plot has been acquired?
        </qstnLit>
        <ivuInstr>
          The time elapsed since the plot or a part of it is leased out will be recorded in completed years in this column.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        757
      </sumStat>
      <sumStat type="invd">
        29437
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        98
      </sumStat>
      <sumStat type="mean">
        12.359
      </sumStat>
      <sumStat type="stdev">
        25.301
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V75" name="B8_q15" files="F3" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="77" width="5" RecSegNo="1"/>
      <labl>
        Area leased in (0.00 acres)
      </labl>
      <qstn>
        <qstnLit>
          How much area has been leased in?
        </qstnLit>
        <ivuInstr>
          Area leased in by the household will be recorded in col. (15) in acres up to 2 places of decimal separately for each plot leased-in.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="22"/>
      </valrng>
      <sumStat type="vald">
        2024
      </sumStat>
      <sumStat type="invd">
        28170
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        22
      </sumStat>
      <sumStat type="mean">
        1.031
      </sumStat>
      <sumStat type="stdev">
        1.716
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V76" name="B8_q16" files="F3" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        Terms of lease (Code)
      </labl>
      <qstn>
        <qstnLit>
          What are the terms of lease?
        </qstnLit>
        <ivuInstr>
          Information pertaining to terms under which leasing-in of the plots were agreed upon would be recorded in column (16).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        1921
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl><![CDATA[for fixed money  ]]></labl>
        <catStat type="freq">
          387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          for fixed produce
        </labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          for share of produce
        </labl>
        <catStat type="freq">
          405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          for share of produce with other terms
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl><![CDATA[under usufructuary  mortgage ]]></labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          under other terms
        </labl>
        <catStat type="freq">
          789
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V77" name="B8_q17" files="F3" intrvl="discrete">
      <location StartPos="79" EndPos="79" width="1" RecSegNo="1"/>
      <labl>
        From whom leased in (Code)
      </labl>
      <qstn>
        <qstnLit>
          From whom the plot has been leased in?
        </qstnLit>
        <ivuInstr>
          For recording entries in column (17), it is necessary to ascertain the type of lessor from whom the land has been taken lease. The codes are same as those for col. (9) and col. (13).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        1921
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          own tribe of the same village
        </labl>
        <catStat type="freq">
          530
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          own tribe of the other village
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          other tribe
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          non-tribals
        </labl>
        <catStat type="freq">
          417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          813
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V119" name="HHID" files="F4" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining  Serial no of village / Block, Area Type, Sub Stratum and Sample Household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V88" name="RoundSchedule" files="F4" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V89" name="FlotNo" files="F4" intrvl="discrete">
      <location StartPos="12" EndPos="16" width="5" RecSegNo="1"/>
      <labl>
        Flot No.
      </labl>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V112" name="Sector" files="F4" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        277
      </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">
          265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V113" name="Sample" files="F4" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample Type
      </labl>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Special
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          General
        </labl>
        <catStat type="freq">
          190
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V114" name="St_Region" files="F4" intrvl="discrete">
      <location StartPos="19" EndPos="21" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <sumStat type="vald">
        277
      </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="V120" name="State" files="F4" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          0
        </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="V115" name="Stratum" files="F4" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        277
      </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="V116" name="Stratum_type" files="F4" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Stratum type
      </labl>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal
        </labl>
        <catStat type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V117" name="SubSample" files="F4" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          153
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V90" name="Vill_Blk_Slno" files="F4" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V91" name="Area_type" files="F4" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Area Type
      </labl>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal majority hamlet
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other hamlet group
        </labl>
        <catStat type="freq">
          250
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V92" name="Sub_Stratum" files="F4" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          277
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V93" name="Hhold_no" files="F4" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V94" name="Sub_Round" files="F4" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V95" name="Level" files="F4" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          05
        </catValu>
        <catStat type="freq">
          277
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V96" name="B9_q1" files="F4" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Serial no. of plot
      </labl>
      <qstn>
        <ivuInstr><![CDATA[Serial number of plots either owned or leased in by the household as on the date of survey, will be recorded in col. (1). The plots will be listed in the following order:

(i)	the plots owned   wholly or partly by  the household will be listed first;

(ii)	next, the plots partially owned and partially leased in, if    any,  will be recorded;

(iii)	finally, the plots taken on lease wholly of partly and possessed on the date of survey will be listed.

	The last line of the block will give the grand total of the entries.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V98" name="B9_q3" files="F4" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Location (Code)
      </labl>
      <qstn>
        <qstnLit>
          What is the location of the plot?
        </qstnLit>
        <ivuInstr><![CDATA[The location of the plot in terms of codes is to be entered in this column. The location codes are different for rural households and urban households and are as follows:

	for rural schedules 			for urban schedules	

	 within village  …………… 1		within sample town  …………… 1
	  outside village:			outside sample town:			
	  in the rural sector  ………. 2	                  in the urban sector  …………… 2
	  in the urban sector  ………3	 	  in the rural sector  …………….. 3]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V99" name="B9_q4" files="F4" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Period since disposed (Code)
      </labl>
      <qstn>
        <qstnLit>
          Since how many years the plot has been disposed?
        </qstnLit>
        <ivuInstr><![CDATA[7.9.1	Period elapsed since disposal of plot (fully or partly
taken place will be recorded in codes. The codes are :

within 1 year ………………….1
1 - 2 years……………………..2
2 - 5 years……………………..3]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          within 1 year
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          within 1-2 years
        </labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          within 2-5 years
        </labl>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V100" name="B9_q5" files="F4" dcml="2" intrvl="contin">
      <location StartPos="44" EndPos="48" width="5" RecSegNo="1"/>
      <labl>
        Area disposed (0.00 acres)
      </labl>
      <qstn>
        <qstnLit>
          How much area has been disposed?
        </qstnLit>
        <ivuInstr>
          For each of the plot disposed of the area disposed of will be recorded in 0.00 acre in this column.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.01" max="12"/>
      </valrng>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.01
      </sumStat>
      <sumStat type="max">
        12
      </sumStat>
      <sumStat type="mean">
        1.015
      </sumStat>
      <sumStat type="stdev">
        1.337
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V101" name="B9_q6" files="F4" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        Mode of disposal (Code)
      </labl>
      <qstn>
        <qstnLit>
          What has been the mode of disposal?
        </qstnLit>
        <ivuInstr><![CDATA[7.9.5	A plot may be disposed of by way of sale or gift or it may
be acquired by government of public bodies for public work or for other purposes. Sometimes land may be occupied without authority by a person or persons and the owner has little hope of regaining it. The actual position is to be ascertained and the appropriate code is to be entered this column by consulting the code list given below: 

acquired by government/public bodies ……………1
sale…………………………………………………2
gift………………………………………………….3
land exchanged to settle debt………………………4
unauthorized occupation…………………………...5
others……………………………………………… 9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          acquired by govt. / public bodies
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sale
        </labl>
        <catStat type="freq">
          189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          gift
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          land exchanged to settle debt
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          unauthorised occupation
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V102" name="B9_q7" files="F4" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        To whom disposed (Code)
      </labl>
      <qstn>
        <qstnLit>
          To whom the plot has been disposed?
        </qstnLit>
        <ivuInstr><![CDATA[7.9.5	The category of person or organization to whom the
land was disposed of would be recorded in this column in terms of codes provided below :

own tribe of the same village…………………………1
own tribe of the other village or town………………...2
other tribe……………………………………………..3
non-tribals…………………………………………….4
government department/  public bodies………………5
private body…………………………………………..6
others………………………………………………….9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        275
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          own tribe of the same village
        </labl>
        <catStat type="freq">
          101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          own tribe of the other village
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          other tribe
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          non-tribals
        </labl>
        <catStat type="freq">
          49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          govt. departments / other public bodies
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          private bodies
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V103" name="B9_q8" files="F4" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Why disposed (Code)
      </labl>
      <qstn>
        <qstnLit>
          Why the plot has been disposed?
        </qstnLit>
        <ivuInstr><![CDATA[7.9.5	The reason which compelled the household to dispose of the 
plot of land will be ascertained and recorded in this column in terms of codes given below: 

acquired by government ………………………………..1
acquired by public bodies……………………………….2
ceremonial expenditure………………………………….3
other household expenditure…………………………….4
capital expenditure………………………………………5
unauthorized occupation by others………………………6
repayment of debt………………………………………..7
others……………………………………………………..9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        275
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl><![CDATA[ acquired by govt.  ]]></labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          acquired by public bodies
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          ceremonial expenditure
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          other household expenditure
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          capital expenditure
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          unauthorised occupation by others
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          repayment of debt
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V104" name="B9_q9" files="F4" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        Whether permission for disposal obtained
      </labl>
      <qstn>
        <qstnLit>
          Whether permission was obtained for disposal?
        </qstnLit>
        <ivuInstr>
          In some states, permission is required for transfer of any land in tribal areas. Permission is a must in all the states if such transfer is made to non- tribals. Whatever be the position, for each disposal, it is to be ascertained permission is obtained from the appropriate authority for disposal of land. If permission is taken, the entry in col. (9) will be 1: otherwise code 2 may be entered in this column.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        274
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V395" name="B9_q10" files="F4" dcml="0" intrvl="contin">
      <location StartPos="53" EndPos="58" width="6" RecSegNo="1"/>
      <labl>
        Amount of compensation recd. (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount was received as compensation?
        </qstnLit>
        <ivuInstr>
          The amount of compensation received or receivable for the disposal of land will be recorded in rupees in col. (10). The entry in this column will be 0(zero), if no compensation is received or receivable.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        277
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V106" name="B9_q11" files="F4" intrvl="discrete">
      <location StartPos="59" EndPos="59" width="1" RecSegNo="1"/>
      <labl>
        Nature of payment (Code)
      </labl>
      <qstn>
        <qstnLit>
          What was the nature of payment? Whether full payment was made or not?
        </qstnLit>
        <ivuInstr>
          Whether the full settlement amount has already been received or not will be ascertained. If full amount is received, code 1 will be entered in col. (11) and if only part payment is received the appropriate code for col. (11) will be 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        234
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          full payment
        </labl>
        <catStat type="freq">
          199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          part payment
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V107" name="B9_q12" files="F4" intrvl="discrete">
      <location StartPos="60" EndPos="60" width="1" RecSegNo="1"/>
      <labl>
        Whether full settlement is adequate
      </labl>
      <qstn>
        <qstnLit>
          Whether full settlement is adequate for the disposal of plot?
        </qstnLit>
        <ivuInstr>
          Further enquiry is to be made to ascertain as to whether the household considers the full settlement amount (even if the full amount is not yet received) as adequate compensation for the land disposed of. If yes, code 1 will be recorded in col. (12); otherwise, the entry in this column will be 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        234
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V108" name="B9_q13" files="F4" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        Whether any claim is filed for restoration of alienated land
      </labl>
      <qstn>
        <qstnLit>
          Whether any claim is filed for restoration of alienated land?
        </qstnLit>
        <ivuInstr>
          It has been stated earlier that transfer of land from tribal to non-tribal is not legally valid. For all cases of disposal to non-tribals [ code 4 in col. (7)] it is to be enquired whether the household has filed any claim to the appropriate authority for restoration of such land. If such claim is filed, the entry in col. (13) will be 1; otherwise, code 2 will be entered in this column.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        136
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          133
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V109" name="B9_q14" files="F4" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        If yes in q13, whether alienated land is restored
      </labl>
      <qstn>
        <qstnLit>
          If claim is filed for restoration of alienated land, then whether alienated land is restored?
        </qstnLit>
        <ivuInstr>
          If the entry in col. (13) is 1 i.e. if any claim has been filed, it is to be ascertained whether the land in question is restored to the tribal household. The code in col. (14) will be 1 if the land is restored, otherwise code 2 will be entered.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        7
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V110" name="B9_q15" files="F4" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        If yes in q14, whether restored land is disposed of again
      </labl>
      <qstn>
        <qstnLit>
          If claim is filed for restoration of alienated land and it is restored also, then whether restored land is disposed of again?
        </qstnLit>
        <ivuInstr>
          In regard to the piece of land restored, it will be further enquired whether the said land is disposed of again. If yes, the entry in col. (15) will be 1 and if no, code 2 will be entered.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        3
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V151" name="HHID" files="F5" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining  Serial no of village / Block, Area Type, Sub Stratum and Sample Household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V121" name="RoundSchedule" files="F5" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V122" name="FlotNo" files="F5" intrvl="discrete">
      <location StartPos="12" EndPos="16" width="5" RecSegNo="1"/>
      <labl>
        Flot No.
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V144" name="Sector" files="F5" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        14701
      </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">
          13480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          1221
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V145" name="Sample" files="F5" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample Type
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Special
        </labl>
        <catStat type="freq">
          5276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          General
        </labl>
        <catStat type="freq">
          9425
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V146" name="St_Region" files="F5" intrvl="discrete">
      <location StartPos="19" EndPos="21" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <sumStat type="vald">
        14701
      </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="V152" name="State" files="F5" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          418
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          1163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          895
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          2489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          1554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          269
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          1181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          380
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          434
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          6
        </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="V147" name="Stratum" files="F5" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        14701
      </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="V148" name="Stratum_type" files="F5" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Stratum type
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal
        </labl>
        <catStat type="freq">
          12373
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          2328
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V149" name="SubSample" files="F5" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          7326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          7375
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V123" name="Vill_Blk_Slno" files="F5" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V124" name="Area_type" files="F5" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Area Type
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal majority hamlet
        </labl>
        <catStat type="freq">
          1270
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other hamlet group
        </labl>
        <catStat type="freq">
          13431
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V125" name="Sub_Stratum" files="F5" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          14701
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V126" name="Hhold_no" files="F5" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V127" name="Sub_Round" files="F5" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          3743
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          3731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          3624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          3603
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V128" name="Level" files="F5" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          06
        </catValu>
        <catStat type="freq">
          14701
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V131" name="B10_q1" files="F5" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        Fuel charges for irrigation
      </labl>
      <qstn>
        <qstnLit>
          Whether incurred any expenditure on fuel charges for irrigation?
        </qstnLit>
        <ivuInstr><![CDATA[“Fuel charges for irrigation” will include the value of diesel oil etc. used to run the
pump set or the hiring charges, if any, of the pump set. Expenditure on repairs and maintenance of sources of irrigation owned by the household will also come under this item.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        12842
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          12207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V132" name="B10_q2" files="F5" intrvl="discrete">
      <location StartPos="40" EndPos="40" width="1" RecSegNo="1"/>
      <labl>
        Charges for irrigation
      </labl>
      <qstn>
        <qstnLit>
          Whether incurred any expenditure on charges for irrigation?
        </qstnLit>
        <ivuInstr><![CDATA[If some community irrigation facilities like canals, deep tubewell etc. are available
and household made use of those facilities for cultivation, the amount paid to the government or other local bodies for getting the benefit will be considered as “charges for irrigation”. Also labour charges for bringing water from a distance for the purpose of cultivation will also be included under this item.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        12840
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          1037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          11802
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V133" name="B10_q3" files="F5" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Fertiliser and pesticide used
      </labl>
      <qstn>
        <qstnLit>
          Whether incurred any expenditure on fertiliser and pesticide used?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        12841
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          3456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          9384
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V134" name="B10_q4" files="F5" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        High yielding variety of seeds used
      </labl>
      <qstn>
        <qstnLit>
          Whether incurred any expenditure on high yielding variety of seeds used?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        12840
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          1977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          10862
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V135" name="B10_q5" files="F5" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Hired labour charges
      </labl>
      <qstn>
        <qstnLit>
          Whether incurred any expenditure on hired labour charges?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        12835
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          3307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          9526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V136" name="B10_q6" files="F5" intrvl="discrete">
      <location StartPos="44" EndPos="44" width="1" RecSegNo="1"/>
      <labl>
        Labour rent, revenue etc.
      </labl>
      <qstn>
        <qstnLit>
          Whether incurred any expenditure on labour rent, revenue etc.?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        12827
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          5011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          7813
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V137" name="B12_q1" files="F5" dcml="0" intrvl="contin">
      <location StartPos="45" EndPos="47" width="3" RecSegNo="1"/>
      <labl>
        Distance of forest from the village (km.)
      </labl>
      <qstn>
        <qstnLit>
          How much is the distance of forest from the village in kms.?
        </qstnLit>
        <ivuInstr>
          The distance of the nearest forest from the village/town in which the tribal household resides will be recorded in kilometers against item 1.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        13340
      </sumStat>
      <sumStat type="invd">
        1361
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        999
      </sumStat>
      <sumStat type="mean">
        12.713
      </sumStat>
      <sumStat type="stdev">
        35.177
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V138" name="B12_q2" files="F5" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Whether any member worked in a forest during last 30 days as wage employee
      </labl>
      <qstn>
        <qstnLit>
          Whether any member worked in a forest during last 30 days as wage employee?
        </qstnLit>
        <ivuInstr>
          It is to be ascertained whether any normal member of the household worked in the capacity of regular salary/wage employee or casual wage employee in any forest during 30 days preceding the date of survey. The work may be manual or non-manual. Even if one member worked for one day. Code 1 would be entered against this item; otherwise the entry would be code 2.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          14222
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V139" name="B12_q3" files="F5" dcml="0" intrvl="contin">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        No. of members
      </labl>
      <qstn>
        <qstnLit>
          If any member worked in a forest during last 30 days as wage employee, then how many members worked?
        </qstnLit>
        <ivuInstr>
          Item 3 to 5: items 3 to 5 will be relevant if the entry against item 2 is 1. Number of members worked as wage employee during 30 days preceding the date of survey, irrespective of number of days worked by them will be recorded against item 3.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        478
      </sumStat>
      <sumStat type="invd">
        14223
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8
      </sumStat>
      <sumStat type="mean">
        1.738
      </sumStat>
      <sumStat type="stdev">
        1.034
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V396" name="B12_q4" files="F5" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="52" width="3" RecSegNo="1"/>
      <labl>
        No. of days worked by all members as wage employee
      </labl>
      <qstn>
        <qstnLit>
          If any member worked in a forest during last 30 days as wage employee, then how many number of days worked by all the members as wage employee?
        </qstnLit>
        <ivuInstr>
          Total number of days worked( the day will be counted even if worked for an hour in a day) by all the members of the household either as regular wage/salaried employee or casual employee will be recorded against item 4. In case more than one member have worked, the number of days preceding the date of survey has to be ascertained separately and then added together to get the total number of days worked by the members of the household for recording entries against item 4.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        465
      </sumStat>
      <sumStat type="invd">
        14236
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V397" name="B12_q5" files="F5" dcml="0" intrvl="contin">
      <location StartPos="53" EndPos="57" width="5" RecSegNo="1"/>
      <labl>
        Total wage receivable (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          If any member worked in a forest during last 30 days as wage employee, then how much total wage was received in terms of rupees?
        </qstnLit>
        <ivuInstr>
          Wages receivable by all the members taken together for the work done by them will be recorded against item 5 in rupees. In calculating the wages, amount received or receivable as bonus. Perquisites etc. for the number of days worked by the members should be taken into account. However, overtime payment, if any, will be excluded.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        463
      </sumStat>
      <sumStat type="invd">
        14238
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V142" name="Cultivation_type" files="F5" intrvl="discrete">
      <location StartPos="58" EndPos="58" width="1" RecSegNo="1"/>
      <labl>
        Type of cultivation
      </labl>
      <sumStat type="vald">
        14701
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          settled cultivation
        </labl>
        <catStat type="freq">
          8373
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          shifting cultivation
        </labl>
        <catStat type="freq">
          889
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          both
        </labl>
        <catStat type="freq">
          553
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          none
        </labl>
        <catStat type="freq">
          4886
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V181" name="HHID" files="F6" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining  Serial no of village / Block, Area Type, Sub Stratum and Sample Household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V153" name="RoundSchedule" files="F6" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V154" name="FlotNo" files="F6" intrvl="discrete">
      <location StartPos="12" EndPos="16" width="5" RecSegNo="1"/>
      <labl>
        Flot No.
      </labl>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V174" name="Sector" files="F6" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        24705
      </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">
          24366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          339
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V175" name="Sample" files="F6" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample Type
      </labl>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Special
        </labl>
        <catStat type="freq">
          9649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          General
        </labl>
        <catStat type="freq">
          15056
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V176" name="St_Region" files="F6" intrvl="discrete">
      <location StartPos="19" EndPos="21" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <sumStat type="vald">
        24705
      </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="V182" name="State" files="F6" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          813
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          2779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          943
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          5065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          1144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          1445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          1283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          1450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          2152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          579
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          1135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          1311
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          2
        </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="V177" name="Stratum" files="F6" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        24705
      </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="V178" name="Stratum_type" files="F6" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Stratum type
      </labl>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V179" name="SubSample" files="F6" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          12258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          12447
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V155" name="Vill_Blk_Slno" files="F6" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V156" name="Area_type" files="F6" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Area Type
      </labl>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal majority hamlet
        </labl>
        <catStat type="freq">
          1793
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other hamlet group
        </labl>
        <catStat type="freq">
          22912
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V157" name="Sub_Stratum" files="F6" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          24705
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V158" name="Hhold_no" files="F6" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V159" name="Sub_Round" files="F6" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          6357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          6474
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          6041
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          5833
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V160" name="Level" files="F6" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          07
        </catValu>
        <catStat type="freq">
          24705
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V161" name="B11_q1" files="F6" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Serial no. of crop
      </labl>
      <qstn>
        <ivuInstr>
          A running serial number starting from 1 will be recorded in col. (1) for the crops produced.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V163" name="B11_q2" files="F6" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Cultivation (Code)
      </labl>
      <qstn>
        <qstnLit>
          What type of cultivation method is followed by the household? Is it shifting or settled cultivation method?
        </qstnLit>
        <ivuInstr>
          The crops are produced either by settled cultivation or by shifting cultivation. The type of cultivation will be indicated in col. (2) by recording codes 1 or 2 respectively for settled and shifting cultivation.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        24703
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          settled cultivation
        </labl>
        <catStat type="freq">
          20222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          shifting cultivation
        </labl>
        <catStat type="freq">
          4131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V164" name="B11_q4" files="F6" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Crop (Code)
      </labl>
      <qstn>
        <qstnLit>
          Which crop is being cultivated by the household?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        24585
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          paddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          minor millets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          oil seeds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          citrus fruits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          other fruits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          coconut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          cashew nut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          cardamom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          pepper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          spices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          rubber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          others
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V165" name="B11_q5" files="F6" dcml="0" intrvl="contin">
      <location StartPos="44" EndPos="44" width="1" RecSegNo="1"/>
      <labl>
        Seed used (kg.)
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of seed was used by the household in terms of kgs.?
        </qstnLit>
        <ivuInstr>
          These two columns 5 and 6 are to be filled in only in case of shifting cultivation. If the household produced crop like paddy, maize, minor millets. Pulses, oil seeds and/ or cotton under shifting cultivation during the period corresponding to the agricultural year 1987-88, the quantity of seeds used for each crop so produced would be recorded in col. (5) in kg. The approximate quantity of seeds used per hectare of land is to be ascertained through enquiry and recorded kg. in col. (6). A cross mark (x) is to put in cols. (5) and (6) for crops produced in settled cultivation.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        24681
      </sumStat>
      <sumStat type="invd">
        24
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V166" name="B11_q6" files="F6" intrvl="discrete">
      <location StartPos="45" EndPos="45" width="1" RecSegNo="1"/>
      <labl>
        Seed ratio
      </labl>
      <qstn>
        <qstnLit>
          What was the seed ratio?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        342
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          342
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V167" name="B11_q7" files="F6" dcml="0" intrvl="contin">
      <location StartPos="46" EndPos="46" width="1" RecSegNo="1"/>
      <labl>
        Quantity (Kg. / No.)
      </labl>
      <qstn>
        <qstnLit>
          What was the yield rate per acre of Kharif crop? How much crop was produced?
        </qstnLit>
        <ivuInstr>
          Columns (7) to (10): yield rate per acre: These columns are to be filled-in only in case of settled cultivation : For each of the crops produced in the kharif season of the agricultural year 1987-88, the yield rate of the crop per acre is to be ascertained through enquiry and to be recorded in column (7) in kilograms for all crops except citrus fruits (07), other fruits (08) and account (09) in which case the unit will be numbers. A cross mark (x) will be put in this column when the crop category is 'others' (99).
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        349
      </sumStat>
      <sumStat type="invd">
        24356
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V168" name="B11_q8" files="F6" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        Whether different from normal year
      </labl>
      <qstn>
        <qstnLit>
          Whether the yield rate per acre of Kharif crop was different from the normal year?
        </qstnLit>
        <ivuInstr><![CDATA[It is to be noted that a particular crop might have been produced in different plots of land with varying yield rates. In such a situation all the plots in which the crop was produced would be considered to arrive at an average yield rate.  It is to be further enquired whether the yield rate recorded in col. (7) is different than what the household, generally, gets in the kharif season of normal agricultural year. The comparison should, generally, be made with the previous agricultural year. But, if the previous agricultural year happens to be an exceptionally good or bad year, the comparison should be made with the most recent normal agricultural year. Information so collected will be recorded in col. (8) in terms of codes as given below : 

yield rate more than the normal year ………………………1 
yield rate same as the normal year………………………….2
yield rate less than the normal year…………………………3]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        459
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yield rate more than the normal year
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          yield rate same as that of the normal year
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          yield rate less than the normal year
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V169" name="B11_q9" files="F6" dcml="0" intrvl="contin">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Quantity (Kg. / No.)
      </labl>
      <qstn>
        <qstnLit>
          What was the yield rate per acre of Rabi crop? How much crop was produced?
        </qstnLit>
        <ivuInstr>
          The particulars to be collected in cols. (9) and (10) relate to the crops produced in Rabi season. These columns are to be filled in exactly in a similar manner as discussed above for columns (7) and (8). However, if a particular crop is produced in kharif and Rabi seasons, two different yield rates for two different seasons are to be noted in cols. (7) and (9) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        782
      </sumStat>
      <sumStat type="invd">
        23923
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V170" name="B11_q10" files="F6" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        Whether different from normal year
      </labl>
      <qstn>
        <qstnLit>
          Whether the yield rate per acre of Rabi crop was different from the normal year?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        2702
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yield rate more than the normal year
        </labl>
        <catStat type="freq">
          609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          yield rate same as that of the normal year
        </labl>
        <catStat type="freq">
          482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          yield rate less than the normal year
        </labl>
        <catStat type="freq">
          252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          713
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V173" name="MPCE" files="F6" dcml="2" intrvl="contin">
      <location StartPos="50" EndPos="56" width="7" RecSegNo="1"/>
      <labl>
        HH MPCE (Rs 0.00)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8333.33"/>
      </valrng>
      <sumStat type="vald">
        24705
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8333.33
      </sumStat>
      <sumStat type="mean">
        162.508
      </sumStat>
      <sumStat type="stdev">
        271.112
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V367" name="RoundSchedule" files="F13" intrvl="discrete">
      <location StartPos="1" EndPos="3" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        11758
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V368" name="FlotNo" files="F13" intrvl="discrete">
      <location StartPos="4" EndPos="8" width="5" RecSegNo="1"/>
      <labl>
        Flot No.
      </labl>
      <sumStat type="vald">
        11758
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V384" name="Sector" files="F13" intrvl="discrete">
      <location StartPos="9" EndPos="9" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        11758
      </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">
          11557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          201
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V385" name="Sample" files="F13" intrvl="discrete">
      <location StartPos="10" EndPos="10" width="1" RecSegNo="1"/>
      <labl>
        Sample Type
      </labl>
      <sumStat type="vald">
        11758
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Special
        </labl>
        <catStat type="freq">
          4271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          General
        </labl>
        <catStat type="freq">
          7487
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V386" name="St_Region" files="F13" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <sumStat type="vald">
        11758
      </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="V387" name="Stratum" files="F13" intrvl="discrete">
      <location StartPos="14" EndPos="15" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        11758
      </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="V388" name="Stratum_type" files="F13" intrvl="discrete">
      <location StartPos="16" EndPos="16" width="1" RecSegNo="1"/>
      <labl>
        Stratum type
      </labl>
      <sumStat type="vald">
        11758
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal
        </labl>
        <catStat type="freq">
          10992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          766
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V389" name="SubSample" files="F13" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        11758
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          5844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          5914
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V369" name="Vill_Blk_Slno" files="F13" intrvl="discrete">
      <location StartPos="18" EndPos="22" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <sumStat type="vald">
        11758
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V370" name="Area_type" files="F13" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Area Type
      </labl>
      <sumStat type="vald">
        11758
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal majority hamlet
        </labl>
        <catStat type="freq">
          838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other hamlet group
        </labl>
        <catStat type="freq">
          10920
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V371" name="Sub_Stratum" files="F13" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        11758
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          11758
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V372" name="Hhold_no" files="F13" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <sumStat type="vald">
        11758
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V373" name="Sub_Round" files="F13" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        11758
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          2897
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          3008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          2860
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          2993
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V374" name="Level" files="F13" intrvl="discrete">
      <location StartPos="27" EndPos="28" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        11758
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          08
        </catValu>
        <catStat type="freq">
          11758
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V375" name="B13_q1" files="F13" intrvl="discrete">
      <location StartPos="29" EndPos="31" width="3" RecSegNo="1"/>
      <labl>
        Item (Code)
      </labl>
      <qstn>
        <ivuInstr>
          Names of the products collected from the forest either for household consumption or for sale or for household enterprise will be recorded in col. (2) and the corresponding item code in col. (1).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        11758
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          001
        </catValu>
        <labl>
          timber
        </labl>
        <catStat type="freq">
          1036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          002
        </catValu>
        <labl>
          firewood
        </labl>
        <catStat type="freq">
          7785
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          003
        </catValu>
        <labl>
          bamboo/cane/reeds
        </labl>
        <catStat type="freq">
          659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          004
        </catValu>
        <labl>
          medicine plant
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          005
        </catValu>
        <labl>
          leaves
        </labl>
        <catStat type="freq">
          1038
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          006
        </catValu>
        <labl>
          thaching grass/fodder
        </labl>
        <catStat type="freq">
          177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          007
        </catValu>
        <labl>
          edible oilseed
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          008
        </catValu>
        <labl>
          edible product (fruit, root, tuber, etc.)
        </labl>
        <catStat type="freq">
          402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          009
        </catValu>
        <labl>
          lac
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010
        </catValu>
        <labl>
          gum, resins
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          011
        </catValu>
        <labl>
          non-edible oils (including sandal oil)
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          012
        </catValu>
        <labl>
          sandal wood
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          013
        </catValu>
        <labl>
          fibre and flosses
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          014
        </catValu>
        <labl>
          tans and dyes
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          015
        </catValu>
        <labl>
          honey / bee wax
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          016
        </catValu>
        <labl>
          animal and birds
        </labl>
        <catStat type="freq">
          172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          017
        </catValu>
        <labl>
          ivory
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          018
        </catValu>
        <labl>
          incense and perfume wood
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          019
        </catValu>
        <labl>
          other products
        </labl>
        <catStat type="freq">
          330
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V376" name="B13_q9" files="F13" intrvl="discrete">
      <location StartPos="32" EndPos="32" width="1" RecSegNo="1"/>
      <labl>
        Type code / To whom sold
      </labl>
      <sumStat type="vald">
        1450
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sold in cash direct to consumer household
        </labl>
        <catStat type="freq">
          697
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sold in cash to co-operatives /IAMP
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          sold in cash to private traders
        </labl>
        <catStat type="freq">
          396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          sold in cash to forest officials
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          sold in cash to others
        </labl>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          sold in kind direct to consumer household
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          sold in kind to others
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V377" name="B13_q3" files="F13" dcml="0" intrvl="contin">
      <location StartPos="33" EndPos="38" width="6" RecSegNo="1"/>
      <labl>
        Quantity (kg.)
      </labl>
      <qstn>
        <qstnLit>
          How much forest produce was collected by the household members during last 30 days as self-employed?
        </qstnLit>
        <ivuInstr>
          Columns (3) &amp; (4): Produce collected: Quantity and value of each of the products collected during 30 days preceding the date of survey will be recorded in columns (3) and (4) respectively. Quantity figure will be recorded in Kg. whereas the value of the products evaluated at the ex-farm price will be entered in 0.00 rupees. If the quantity of a produce can not be expressed in Kg., a cross mark (x) may be put in cols. (3), (5) and/or (7), as the case may be.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="210000"/>
      </valrng>
      <sumStat type="vald">
        10472
      </sumStat>
      <sumStat type="invd">
        1286
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        210000
      </sumStat>
      <sumStat type="mean">
        1078.247
      </sumStat>
      <sumStat type="stdev">
        6531.045
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V378" name="B13_q4" files="F13" dcml="2" intrvl="contin">
      <location StartPos="39" EndPos="46" width="8" RecSegNo="1"/>
      <labl>
        Value (Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          How much was the value of forest produce collected by the household members during last 30 days as self-employed?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="16000"/>
      </valrng>
      <sumStat type="vald">
        11115
      </sumStat>
      <sumStat type="invd">
        643
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        16000
      </sumStat>
      <sumStat type="mean">
        88.222
      </sumStat>
      <sumStat type="stdev">
        344.784
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V379" name="B13_q5" files="F13" dcml="0" intrvl="contin">
      <location StartPos="47" EndPos="52" width="6" RecSegNo="1"/>
      <labl>
        Quantity (kg.)
      </labl>
      <qstn>
        <qstnLit>
          How much forest produce was consumed at home by the household members during last 30 days as self-employed?
        </qstnLit>
        <ivuInstr>
          Columns (5) &amp; (6): Produce consumed at home: Quantity and value of forest produce consumed in the household during 30 days preceding the date of survey will be recorded in these columns. The value of the produce will be ascertained on the basis of ex-farm price. Consumption may be out of forest produce collected during the reference period or from an earlier stock built up from such collection. Thus, for an item, there may be entries in columns (1), (2), (5) and/or (7) to ((9) without having entries in cols. (3) and (4).
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="150000"/>
      </valrng>
      <sumStat type="vald">
        10479
      </sumStat>
      <sumStat type="invd">
        1279
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        150000
      </sumStat>
      <sumStat type="mean">
        894.959
      </sumStat>
      <sumStat type="stdev">
        4068.07
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V380" name="B13_q6" files="F13" dcml="2" intrvl="contin">
      <location StartPos="53" EndPos="60" width="8" RecSegNo="1"/>
      <labl>
        Value (Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          How much was the value of forest produce consumed at home by the household members during last 30 days as self-employed?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="12000"/>
      </valrng>
      <sumStat type="vald">
        11119
      </sumStat>
      <sumStat type="invd">
        639
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12000
      </sumStat>
      <sumStat type="mean">
        65.126
      </sumStat>
      <sumStat type="stdev">
        232.401
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V381" name="B13_q7" files="F13" dcml="0" intrvl="contin">
      <location StartPos="61" EndPos="65" width="5" RecSegNo="1"/>
      <labl>
        Quantity (kg.)
      </labl>
      <qstn>
        <qstnLit>
          How much forest produce was sold by the household members during last 30 days as self-employed?
        </qstnLit>
        <ivuInstr>
          Columns (7) to (8): Produce sold: Quantity and value of forest produce sold by the household during 30 days preceding the date of survey will be recorded in cols. (7) and (8) respectively. The value of sale will be the amount received or receivable for the quantity sold. Like consumption, sale may relate to the products collected during the reference period or to the stock built up from past collection.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="98000"/>
      </valrng>
      <sumStat type="vald">
        1386
      </sumStat>
      <sumStat type="invd">
        10372
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        98000
      </sumStat>
      <sumStat type="mean">
        1474.789
      </sumStat>
      <sumStat type="stdev">
        6782.233
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V382" name="B13_q8" files="F13" dcml="2" intrvl="contin">
      <location StartPos="66" EndPos="73" width="8" RecSegNo="1"/>
      <labl>
        Value (Rs. 0.00)
      </labl>
      <qstn>
        <qstnLit>
          How much was the value of forest produce sold by the household members during last 30 days as self-employed?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="16000"/>
      </valrng>
      <sumStat type="vald">
        1460
      </sumStat>
      <sumStat type="invd">
        10298
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        16000
      </sumStat>
      <sumStat type="mean">
        150.472
      </sumStat>
      <sumStat type="stdev">
        522.754
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V234" name="HHID" files="F8" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining  Serial no of village / Block, Area Type, Sub Stratum and Sample Household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V207" name="RoundSchedule" files="F8" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V208" name="FlotNo" files="F8" intrvl="discrete">
      <location StartPos="12" EndPos="16" width="5" RecSegNo="1"/>
      <labl>
        Flot No.
      </labl>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V227" name="Sector" files="F8" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        6207
      </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">
          5951
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          256
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V228" name="Sample" files="F8" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample Type
      </labl>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Special
        </labl>
        <catStat type="freq">
          2186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          General
        </labl>
        <catStat type="freq">
          4021
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V229" name="St_Region" files="F8" intrvl="discrete">
      <location StartPos="19" EndPos="21" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <sumStat type="vald">
        6207
      </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="V235" name="State" files="F8" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          1241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          737
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          330
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          0
        </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="V230" name="Stratum" files="F8" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        6207
      </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="V231" name="Stratum_type" files="F8" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Stratum type
      </labl>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal
        </labl>
        <catStat type="freq">
          5414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          793
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V232" name="SubSample" files="F8" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          3155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          3052
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V209" name="Vill_Blk_Slno" files="F8" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V210" name="Area_type" files="F8" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Area Type
      </labl>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal majority hamlet
        </labl>
        <catStat type="freq">
          517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other hamlet group
        </labl>
        <catStat type="freq">
          5690
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V211" name="Sub_Stratum" files="F8" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          6207
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V212" name="Hhold_no" files="F8" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V213" name="Sub_Round" files="F8" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          1958
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          1714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          1385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          1150
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V214" name="Level" files="F8" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          09
        </catValu>
        <catStat type="freq">
          6207
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V215" name="B14_q1" files="F8" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Serial no. of enterprises
      </labl>
      <qstn>
        <ivuInstr><![CDATA[For the purposes of recording information, enterprises have been classified into various types as listed in col. (2) with the corresponding serial  numbers in col. (1).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        6207
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V217" name="B14_q3" files="F8" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="46" width="5" RecSegNo="1"/>
      <labl>
        Value of output produced (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much was the value of output produced by the household enterprise (other than cultivation) during the last 30 days?
        </qstnLit>
        <ivuInstr>
          Columns (3) to (5): The value of the products produced (ready for sale and/or household consumption or for distribution) during 30 days preceding the date of survey will be recorded in those columns against the particular enterprise value of the principal products will only be recorded in col. (3).
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99999"/>
      </valrng>
      <sumStat type="vald">
        5542
      </sumStat>
      <sumStat type="invd">
        665
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99999
      </sumStat>
      <sumStat type="mean">
        801.145
      </sumStat>
      <sumStat type="stdev">
        3602.125
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V218" name="B14_q4" files="F8" dcml="0" intrvl="contin">
      <location StartPos="47" EndPos="51" width="5" RecSegNo="1"/>
      <labl>
        Other receipts (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much was the value of other receipts by the household enterprise (other than cultivation) during the last 30 days?
        </qstnLit>
        <ivuInstr>
          Value of the by-products together with any other receipts to the enterprise will be recorded in col. (4).
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="90000"/>
      </valrng>
      <sumStat type="vald">
        914
      </sumStat>
      <sumStat type="invd">
        5293
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90000
      </sumStat>
      <sumStat type="mean">
        475.336
      </sumStat>
      <sumStat type="stdev">
        3811.787
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V219" name="B14_q5" files="F8" dcml="0" intrvl="contin">
      <location StartPos="52" EndPos="57" width="6" RecSegNo="1"/>
      <labl>
        Total (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much was the total value of output produced by the household enterprise (other than cultivation) during the last 30 days?
        </qstnLit>
        <ivuInstr>
          Col.(5) will give the total of columns (3) and (4). The products will be evaluated at the ex-farm/ex-factory price.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="105000"/>
      </valrng>
      <sumStat type="vald">
        5986
      </sumStat>
      <sumStat type="invd">
        221
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        105000
      </sumStat>
      <sumStat type="mean">
        869.659
      </sumStat>
      <sumStat type="stdev">
        4485.098
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V220" name="B14_q6" files="F8" dcml="0" intrvl="contin">
      <location StartPos="58" EndPos="62" width="5" RecSegNo="1"/>
      <labl>
        Raw material purchased (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much expenditure was incurred on raw material purchase by the household enterprise (other than cultivation) during the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Columns (6) to (10): Information relating to consumption of raw materials, fuel, lubricant, auxiliary materials and other expenses relevant to the productive enterprises during the reference period will be colleted in these columns. 

Columns (6) will be used to record the consumption of raw materials out of cash purchase (including credit purchase) only.

It is to be noted that expenditure on those materials only will be considered which are consumed in the process of production during the reference period irrespective of whether they are purchased, produced or procured from other sources during the reference period.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="45000"/>
      </valrng>
      <sumStat type="vald">
        929
      </sumStat>
      <sumStat type="invd">
        5278
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        45000
      </sumStat>
      <sumStat type="mean">
        624.465
      </sumStat>
      <sumStat type="stdev">
        3089.097
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V221" name="B14_q7" files="F8" dcml="0" intrvl="contin">
      <location StartPos="63" EndPos="67" width="5" RecSegNo="1"/>
      <labl>
        Raw material obtained in kind from own enterprise (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much was the value of raw material obtained in kind from own enterprise for use by the household enterprise (other than cultivation) during the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Column (7) will be used to record the products from other enterprises of the sample household used as raw materials in the concerned enterprise. The value for columns (7) and (8) will be imputed at the appropriate rates which will be ex-farm  or ex-factory if the materials are obtained from his own enterprise or direct from grower/producer, otherwise retail price prevailing in the locality will be used.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="30000"/>
      </valrng>
      <sumStat type="vald">
        594
      </sumStat>
      <sumStat type="invd">
        5613
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30000
      </sumStat>
      <sumStat type="mean">
        389.714
      </sumStat>
      <sumStat type="stdev">
        1983.807
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V222" name="B14_q8" files="F8" dcml="0" intrvl="contin">
      <location StartPos="68" EndPos="72" width="5" RecSegNo="1"/>
      <labl>
        Raw material obtained from other sources (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much expenditure was incurred on the raw material obtained from other sources by the household enterprise (other than cultivation) during the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Col. (8)   will be used to record the materials obtained from other sources.The value for columns (7) and (8) will be imputed at the appropriate rates which will be ex-farm  or ex-factory if the materials are obtained from his own enterprise or direct from grower/producer, otherwise retail price prevailing in the locality will be used.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="20000"/>
      </valrng>
      <sumStat type="vald">
        529
      </sumStat>
      <sumStat type="invd">
        5678
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        20000
      </sumStat>
      <sumStat type="mean">
        229.304
      </sumStat>
      <sumStat type="stdev">
        1202.731
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V223" name="B14_q9" files="F8" dcml="0" intrvl="contin">
      <location StartPos="73" EndPos="77" width="5" RecSegNo="1"/>
      <labl>
        Other expenditure (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much other expenditure was incurred by the household enterprise (other than cultivation) during the last 30 days?
        </qstnLit>
        <ivuInstr>
          All other expenses (excepting labour charges) incurred during the reference period for the enterprise such as expenditure on account of fuel, lubricant, packing materials, rents etc. will be lumped together and recorded in col. (9).
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="15000"/>
      </valrng>
      <sumStat type="vald">
        1654
      </sumStat>
      <sumStat type="invd">
        4553
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15000
      </sumStat>
      <sumStat type="mean">
        220.32
      </sumStat>
      <sumStat type="stdev">
        990.143
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V224" name="B14_q10" files="F8" dcml="0" intrvl="contin">
      <location StartPos="78" EndPos="82" width="5" RecSegNo="1"/>
      <labl>
        Total expenditure (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much total expenditure was incurred by the household enterprise (other than cultivation) during the last 30 days?
        </qstnLit>
        <ivuInstr>
          The entry in col. (10) will be the total of entries in cols. (6) to (9).
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="60000"/>
      </valrng>
      <sumStat type="vald">
        2788
      </sumStat>
      <sumStat type="invd">
        3419
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60000
      </sumStat>
      <sumStat type="mean">
        471.498
      </sumStat>
      <sumStat type="stdev">
        2549.593
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V225" name="B14_q11" files="F8" dcml="0" intrvl="contin">
      <location StartPos="83" EndPos="86" width="4" RecSegNo="1"/>
      <labl>
        Hired labour charges (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much expenditure was incurred on hired labour charges by the household enterprise (other than cultivation) during the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Column (11):  hired labour charges: The hired labour charges payable to the wage earners (regular and casual) for the work done during the reference period will be recorded in this column. When payments are made in kind, the value of the payments are to be imputed at appropriate rates. Perquisites will be considered as payments in kind.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9000"/>
      </valrng>
      <sumStat type="vald">
        148
      </sumStat>
      <sumStat type="invd">
        6059
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9000
      </sumStat>
      <sumStat type="mean">
        545.818
      </sumStat>
      <sumStat type="stdev">
        1392.012
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V260" name="HHID" files="F9" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining  Serial no of village / Block, Area Type, Sub Stratum and Sample Household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V236" name="RoundSchedule" files="F9" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V237" name="FlotNo" files="F9" intrvl="discrete">
      <location StartPos="12" EndPos="16" width="5" RecSegNo="1"/>
      <labl>
        Flot No.
      </labl>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V253" name="Sector" files="F9" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        2355
      </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">
          2305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V254" name="Sample" files="F9" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample Type
      </labl>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Special
        </labl>
        <catStat type="freq">
          758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          General
        </labl>
        <catStat type="freq">
          1597
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V255" name="St_Region" files="F9" intrvl="discrete">
      <location StartPos="19" EndPos="21" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <sumStat type="vald">
        2355
      </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="V261" name="State" files="F9" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V256" name="Stratum" files="F9" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        2355
      </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="V257" name="Stratum_type" files="F9" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Stratum type
      </labl>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal
        </labl>
        <catStat type="freq">
          2140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          215
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V258" name="SubSample" files="F9" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          1161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          1194
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V238" name="Vill_Blk_Slno" files="F9" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V239" name="Area_type" files="F9" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Area Type
      </labl>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal majority hamlet
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other hamlet group
        </labl>
        <catStat type="freq">
          2187
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V240" name="Sub_Stratum" files="F9" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          2355
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V241" name="Hhold_no" files="F9" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V242" name="Sub_Round" files="F9" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          678
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          488
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V243" name="Level" files="F9" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          2355
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V244" name="B15_q1" files="F9" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Serial no. of product marketed
      </labl>
      <qstn>
        <ivuInstr>
          A running serial number of all the products listed in col. (2) will be recorded in col. (1).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V246" name="B15_q3" files="F9" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Product (Code)
      </labl>
      <qstn>
        <qstnLit>
          Name the products (other than forest products) marketed by the household during the last 30 days.
        </qstnLit>
        <ivuInstr><![CDATA[The products likely to be sold by the producer household have been classified into four categories. The products categories along with the products codes are given below: 
			
surplus agricultural produce………………………….1
livestock and poultry …………………………………2
handlooms (metres)……………………………………3
handicrafts (nos.)………………………………………4
others…………………………………………………   9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        2344
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          surplus agricultural produce
        </labl>
        <catStat type="freq">
          1272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          livestock and poultry
        </labl>
        <catStat type="freq">
          562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          handlooms (meters)
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          handicrafts (nos.)
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          365
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V247" name="B15_q6" files="F9" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="48" width="6" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the products (other than forest products) was marketed by the household during the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Column (6):  For each of the products in the categories of “surplus agricultural produce' 'handlooms' and 'handicrafts' sold, the quantity of the product sold to a particular agency will be recorded in col. (6) in standard unit. The standard unit is kg. for any product falling under “surplus agricultural produce” metres for 'handlooms' and numbers for' handicrafts.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="200000"/>
      </valrng>
      <sumStat type="vald">
        1957
      </sumStat>
      <sumStat type="invd">
        398
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        200000
      </sumStat>
      <sumStat type="mean">
        1018.015
      </sumStat>
      <sumStat type="stdev">
        10724.002
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V248" name="B15_q7" files="F9" dcml="0" intrvl="contin">
      <location StartPos="49" EndPos="54" width="6" RecSegNo="1"/>
      <labl>
        Value in cash (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much was the value of the products (other than forest products) marketed by the household during the last 30 days in terms of cash?
        </qstnLit>
        <ivuInstr><![CDATA[Columns (7) to (9):  Value of the products marketed: For each of the product sold, the value of the product sold to a particular agency will be recorded in col. (7) if it is sold in cash and in col. (8) if in kind. Column (9) will give the total of columns (7) and (8).  In case of sale in kind, the value is to be imputed at the retail market price.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="3" max="200000"/>
      </valrng>
      <sumStat type="vald">
        2317
      </sumStat>
      <sumStat type="invd">
        38
      </sumStat>
      <sumStat type="min">
        3
      </sumStat>
      <sumStat type="max">
        200000
      </sumStat>
      <sumStat type="mean">
        1925.044
      </sumStat>
      <sumStat type="stdev">
        9242.101
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V249" name="B15_q8" files="F9" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="59" width="5" RecSegNo="1"/>
      <labl>
        Value in kind (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much was the value of the products (other than forest products) marketed by the household during the last 30 days in terms of kind?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="30200"/>
      </valrng>
      <sumStat type="vald">
        124
      </sumStat>
      <sumStat type="invd">
        2231
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30200
      </sumStat>
      <sumStat type="mean">
        1122.355
      </sumStat>
      <sumStat type="stdev">
        3563.241
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V250" name="B15_q9" files="F9" dcml="0" intrvl="contin">
      <location StartPos="60" EndPos="65" width="6" RecSegNo="1"/>
      <labl>
        Total value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much was the total value of the products (other than forest products) marketed by the household during the last 30 days in terms of cash and kind both clubbed togather?
        </qstnLit>
        <ivuInstr>
          In case of sale in kind, the value is to be imputed at the retail market price.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="2" max="200000"/>
      </valrng>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        200000
      </sumStat>
      <sumStat type="mean">
        2007.536
      </sumStat>
      <sumStat type="stdev">
        9385.697
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V400" name="B15_q10" files="F9" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        To whom marketed
      </labl>
      <qstn>
        <qstnLit>
          To whom the products (other than forest products) were marketed by the household during the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Column (10): to whom marketed: Whether the product is sold in cash or in kind and the agency to whom the product has been sold during the reference period of 30 days preceding the date of survey are to be ascertained for each of the products sold. If the same product is sold to different agencies, two lines are to be filled in to record the relevant particulars. The appropriate code is to be entered in col. (10) by consulting the code list as given below :  

		in cash		:	direct to consumer household………………1
		   “		:	to cooperatives/LAMPS……………………2
		   “		:	to private traders……………………………3
		   “		:	others………………………………………..5
		in kind		:	direct to consumer household………………..6
		   “		:	others…………………………………………7

The code list has been kept similar to one provided for col. (9) of block 13. It may be seen that code 4 is missing from the code list for col. (10) of block 15, as the particular code (forest officials) is not considered relevant for this block.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        2355
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sold in cash direct to consumer household
        </labl>
        <catStat type="freq">
          851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sold in cash to co-operatives /IAMP
        </labl>
        <catStat type="freq">
          181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          sold in cash to private traders
        </labl>
        <catStat type="freq">
          901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          sold in cash to others
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          sold in kind direct to consumer household
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          sold in kind to others
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V282" name="HHID" files="F10" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining  Serial no of village / Block, Area Type, Sub Stratum and Sample Household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V262" name="RoundSchedule" files="F10" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V263" name="FlotNo" files="F10" intrvl="discrete">
      <location StartPos="12" EndPos="16" width="5" RecSegNo="1"/>
      <labl>
        Flot No.
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V275" name="Sector" files="F10" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        219224
      </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">
          202865
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          16359
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V276" name="Sample" files="F10" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample Type
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Special
        </labl>
        <catStat type="freq">
          78080
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          General
        </labl>
        <catStat type="freq">
          141144
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V277" name="St_Region" files="F10" intrvl="discrete">
      <location StartPos="19" EndPos="21" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <sumStat type="vald">
        219224
      </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="V283" name="State" files="F10" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          11324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          8319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          19236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          12555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          3253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          2047
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          2171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          34910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          18204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          4491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          9387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          11921
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          16287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          15960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          5307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          1974
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          5283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          2887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          12223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          2028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          6137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          2224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          2038
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          8909
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V278" name="Stratum" files="F10" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V279" name="Stratum_type" files="F10" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Stratum type
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal
        </labl>
        <catStat type="freq">
          188671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          30553
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V280" name="SubSample" files="F10" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          109053
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          110171
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V264" name="Vill_Blk_Slno" files="F10" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V265" name="Area_type" files="F10" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Area Type
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal majority hamlet
        </labl>
        <catStat type="freq">
          17702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other hamlet group
        </labl>
        <catStat type="freq">
          201522
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V266" name="Sub_Stratum" files="F10" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          219224
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V267" name="Hhold_no" files="F10" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V268" name="Sub_Round" files="F10" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          55487
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          55714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          54374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          53649
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V269" name="Level" files="F10" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          219224
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V270" name="B16_q1" files="F10" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Serial no. of asset owned
      </labl>
      <sumStat type="vald">
        219224
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Household assets represented all that were owned by the household and had money value.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V272" name="B16_q3" files="F10" dcml="2" intrvl="contin">
      <location StartPos="42" EndPos="48" width="7" RecSegNo="1"/>
      <labl>
        Area/ Floor area (0.00 acres)
      </labl>
      <qstn>
        <qstnLit>
          How much area/floor area was owned by the household as on the date of survey?
        </qstnLit>
        <ivuInstr>
          The items of assets on which information is to be collected have been printed under col. (2). For most of the items, entry in col. (3) will indicate the number of such items owned by the household on the date of survey. However, for items relating to land except land for house site (serial nos. 02 to 06), area owned is to be recorded in 0.00 acres in col. (3). For house site, the area is to be recorded in the area is to be recorded in square meter. Again, the appropriate entry in col. (3) will be floor area in square meter for the items relating to building (serial nos. 18 to 22). Printed cross (x) has been provided in col. (3) against some items for which quantity figures are not required.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9971"/>
      </valrng>
      <sumStat type="vald">
        119283
      </sumStat>
      <sumStat type="invd">
        99941
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9971
      </sumStat>
      <sumStat type="mean">
        98.497
      </sumStat>
      <sumStat type="stdev">
        529.448
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V273" name="B16_q4" files="F10" dcml="0" intrvl="contin">
      <location StartPos="49" EndPos="54" width="6" RecSegNo="1"/>
      <labl>
        Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much was the value of the area/floor area owned by the household as on the date of survey?
        </qstnLit>
        <ivuInstr><![CDATA[Column (4):  Value of assets: For each of the items mentioned in col. (2), the total value of all the assets owned by the household on the date of survey will be recorded in rupees in column (4). A physical asset owned by the household on the date of survey might have been purchased long time ago or might have been acquired otherwise. If an asset, is purchased during 365 days preceding the date of survey, the value of the asset will be purchase price. In all other cases, the value of the asset is to be evaluated at the current market price prevailing in the locality on the date of survey, considering the present condition of the asset.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="999999"/>
      </valrng>
      <sumStat type="vald">
        218347
      </sumStat>
      <sumStat type="invd">
        877
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        999999
      </sumStat>
      <sumStat type="mean">
        7430.293
      </sumStat>
      <sumStat type="stdev">
        27487.56
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V322" name="HHID" files="F11" intrvl="discrete">
      <location StartPos="1" EndPos="8" width="8" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining  Serial no of village / Block, Area Type, Sub Stratum and Sample Household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V284" name="RoundSchedule" files="F11" intrvl="discrete">
      <location StartPos="9" EndPos="11" width="3" RecSegNo="1"/>
      <labl>
        Round Schedule
      </labl>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round and schedule number of this survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V285" name="FlotNo" files="F11" intrvl="discrete">
      <location StartPos="12" EndPos="16" width="5" RecSegNo="1"/>
      <labl>
        Flot No.
      </labl>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V315" name="Sector" files="F11" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        4260
      </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">
          3857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          403
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V316" name="Sample" files="F11" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Sample Type
      </labl>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Special
        </labl>
        <catStat type="freq">
          1702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          General
        </labl>
        <catStat type="freq">
          2558
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V317" name="St_Region" files="F11" intrvl="discrete">
      <location StartPos="19" EndPos="21" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <sumStat type="vald">
        4260
      </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="V323" name="State" files="F11" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          541
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          0
        </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="V318" name="Stratum" files="F11" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        4260
      </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="V319" name="Stratum_type" files="F11" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Stratum type
      </labl>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal
        </labl>
        <catStat type="freq">
          3316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          944
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V320" name="SubSample" files="F11" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          2152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          2108
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V286" name="Vill_Blk_Slno" files="F11" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V287" name="Area_type" files="F11" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Area Type
      </labl>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tribal majority hamlet
        </labl>
        <catStat type="freq">
          493
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other hamlet group
        </labl>
        <catStat type="freq">
          3767
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V288" name="Sub_Stratum" files="F11" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          4260
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V289" name="Hhold_no" files="F11" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V290" name="Sub_Round" files="F11" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          1243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          1145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          937
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V291" name="Level" files="F11" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          4260
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V292" name="B17_q1" files="F11" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Serial no. of loan
      </labl>
      <qstn>
        <ivuInstr><![CDATA[A running serial  number will be given in column (1) for the loans recorded in the block.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V294" name="B17_q2" files="F11" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Cash or kind (Code)
      </labl>
      <qstn>
        <qstnLit>
          What is the nature of dues payable by the household? Are they cash dues or kind dues?
        </qstnLit>
        <ivuInstr>
          Whether the loan is considered as cash loan or kind loan will be indicated in col. (2) by recording 1 for cash loan and 2 for loan in kind. All loans taken in cash will be considered cash loans irrespective of whether the repayment is made in cash or in kind. Similarly, all loans taken in kind irrespective of whether the repayment is made in cash or in kind will be treated as 'kind' loan.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        4259
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          cash
        </labl>
        <catStat type="freq">
          2941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          kind
        </labl>
        <catStat type="freq">
          1317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V295" name="B17_q3" files="F11" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="48" width="6" RecSegNo="1"/>
      <labl>
        Original amount borrowed (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much was the original amount borrowed?
        </qstnLit>
        <ivuInstr>
          For each loan, amount originally borrowed will be recorded in col. (3).
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="200000"/>
      </valrng>
      <sumStat type="vald">
        4250
      </sumStat>
      <sumStat type="invd">
        10
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        200000
      </sumStat>
      <sumStat type="mean">
        2513.557
      </sumStat>
      <sumStat type="stdev">
        7407.918
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V296" name="B17_q4a" files="F11" intrvl="discrete">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        Month of borrowing
      </labl>
      <qstn>
        <qstnLit>
          Which month the loan was borrowed?
        </qstnLit>
        <ivuInstr>
          For each loan, the month and year of borrowing will be recorded in col. (4). Month and year will be recorded in codes in codes. For example, February 1980 will be recorded “.0280”.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        4156
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          January
        </labl>
        <catStat type="freq">
          338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          February
        </labl>
        <catStat type="freq">
          325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          March
        </labl>
        <catStat type="freq">
          385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          April
        </labl>
        <catStat type="freq">
          448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          399
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          August
        </labl>
        <catStat type="freq">
          314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          September
        </labl>
        <catStat type="freq">
          208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
        <catStat type="freq">
          262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
        <catStat type="freq">
          222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
        <catStat type="freq">
          197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V297" name="B17_q4b" files="F11" intrvl="discrete">
      <location StartPos="51" EndPos="52" width="2" RecSegNo="1"/>
      <labl>
        Year of borrowing
      </labl>
      <qstn>
        <qstnLit>
          Which year the loan was borrowed?
        </qstnLit>
        <ivuInstr>
          For each loan, the month and year of borrowing will be recorded in col. (4). Month and year will be recorded in codes in codes. For example, February 1980 will be recorded ".0280".
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        4143
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <catStat type="freq">
          119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <catStat type="freq">
          183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <catStat type="freq">
          345
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <catStat type="freq">
          682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <catStat type="freq">
          2170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <catStat type="freq">
          383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V298" name="B17_q5" files="F11" dcml="0" intrvl="contin">
      <location StartPos="53" EndPos="54" width="2" RecSegNo="1"/>
      <labl>
        Duration of outstanding loan (Years)
      </labl>
      <qstn>
        <qstnLit>
          Since how many years the loan has been outstanding?
        </qstnLit>
        <ivuInstr>
          Column (5) will be filled in when a loan is outstanding i.e.yet to be fully repaid on the date of survey. The period elapsed since the amount was borrowed be recorded in completed years in col. (5).
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        8.704
      </sumStat>
      <sumStat type="stdev">
        24.865
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V299" name="B17_q6" files="F11" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        Credit agency (Code)
      </labl>
      <qstn>
        <qstnLit>
          Which was the credit agency from whom loan was taken?
        </qstnLit>
        <ivuInstr><![CDATA[Column (6): credit agency:   The agency from which a loan has been taken will be recorded in this column in codes as given below: 
		
		government…………………………………………..1
		cooperative society…………………………………   2
		commercial bank……………………………………..3
		landlord……………………………………………….4
		money lender - tribal…………………………………5
		money lender - non-tribal…………………………….6
		trader…………………………………………………..7
		relatives & friends…………………………………….8
		others………………………………………………….9
		
The codes are self-explanatory. However, it may be noted that the code for 'landlord' will be applicable only when the loan is given by a landlord to his own tenant.   If the loan is taken from a person who belongs to landlord class but the borrower is not a tenant of that landlord, the appropriate code will be either 5 or 6 as the case may be. Again credit agency will be 'relatives and friends' only when a loan is received from a friend or a relative free of interest. If the loan bears interest 'it will be considered as taken from money lender, trader etc., depending upon the type of business carried out by the person.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        4238
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          government
        </labl>
        <catStat type="freq">
          379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          cooperative society
        </labl>
        <catStat type="freq">
          557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          commercial bank
        </labl>
        <catStat type="freq">
          756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          landlord
        </labl>
        <catStat type="freq">
          265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          money lender – tribal
        </labl>
        <catStat type="freq">
          285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          money lender – non-tribal
        </labl>
        <catStat type="freq">
          607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          trader
        </labl>
        <catStat type="freq">
          713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          relatives &amp; friends
        </labl>
        <catStat type="freq">
          456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V300" name="B17_q7" files="F11" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Nature of interest
      </labl>
      <qstn>
        <qstnLit>
          What is the nature of interest of loan?
        </qstnLit>
        <ivuInstr><![CDATA[Columns (7) & (8):  nature and rate of interest:  The rate of interest per 100 rupees per annum actually charged by the lender will be recorded in column (8) in two decimal places of rupees. The nature of interest expressed in terms of codes as specified below will be recorded in column (7). 
		interest free………………………………………..1
		differential rate of interest…………………………2
		simple interest……………………………………..3
		compound interest…………………………………4

Sometimes, a loan is advanced by a government department or public bodies at a confessional rate of interest to certain people for specific purposes. If the household has received any such loan, the entry in col. (7) will be 2 i.e. differential rate of interest.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        4205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          interest free
        </labl>
        <catStat type="freq">
          1284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          differential rate of interest
        </labl>
        <catStat type="freq">
          174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          simple interest
        </labl>
        <catStat type="freq">
          2012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          compound interest
        </labl>
        <catStat type="freq">
          728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V301" name="B17_q8" files="F11" dcml="2" intrvl="contin">
      <location StartPos="57" EndPos="62" width="6" RecSegNo="1"/>
      <labl>
        Rate of interest (% per annum) (0.00)
      </labl>
      <qstn>
        <qstnLit>
          What is the annual rate of interest of loan?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="200"/>
      </valrng>
      <sumStat type="vald">
        3233
      </sumStat>
      <sumStat type="invd">
        1027
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        200
      </sumStat>
      <sumStat type="mean">
        19.435
      </sumStat>
      <sumStat type="stdev">
        20.107
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V302" name="B17_q9" files="F11" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        Purpose of loan (Code)
      </labl>
      <qstn>
        <qstnLit>
          Why the loan was taken by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Column (9) purpose of loan: purpose for which the loan is taken will be recorded in code numbers in this column. The codes are as follows: 

		capital expenditure in farm business……………………………….1
		current expenditure in farm business……………………………….2
		capital expenditure in non-farm business…………………………..3
		current expenditure in non-farm business………………………….4
		expenditure relating to marriage……………………………………5
		expenditure relating to other social ceremonies…………………….6
		expenditure relating to religious ceremonies………………………..7
		repayment of debt……………………………………………………8
		others…………………………………………………………………9

The purpose is defined as the occasion which prompted the household to contract the loan. Even if the loan was utilized for a purpose other than that for which the loan had been contracted, the purpose for which the loan was originally taken would be recorded here. If more than one purpose was involved, the purpose for which the major amount had been planned to be spent would be recorded.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        4234
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          capital expenditure in farm business
        </labl>
        <catStat type="freq">
          883
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          current expenditure in farm business
        </labl>
        <catStat type="freq">
          574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          capital expenditure in non-farm business
        </labl>
        <catStat type="freq">
          326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          current expenditure in non-farm business
        </labl>
        <catStat type="freq">
          230
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          expenditure relating to marriage
        </labl>
        <catStat type="freq">
          257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          expenditure relating to other social ceremonies
        </labl>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          expenditure relating to religious ceremonies
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          repayment of debt
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          1592
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V303" name="B17_q10" files="F11" intrvl="discrete">
      <location StartPos="64" EndPos="64" width="1" RecSegNo="1"/>
      <labl>
        Type of security (Code)
      </labl>
      <qstn>
        <qstnLit>
          What type of security was given for obtaining loan?
        </qstnLit>
        <ivuInstr><![CDATA[Column (10): type of security: Information relevant security which the household had to pledge for obtaining the loan would be recorded in this column in terms of codes as specified below:		
		no security ………………………………………………… 1
		surety security or guarantee by third party …………………2 
		crop/forest produce …………………………………………3
		mortgage of immovable property ………………………….. 4
		ornaments ………………………………………………….. 5
		other types of security ………………………………………6
	
If the loan is obtained without any security, the appropriate code will be 1.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        4195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          not reported
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          no security
        </labl>
        <catStat type="freq">
          2795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          surety security or guarantee by third party
        </labl>
        <catStat type="freq">
          460
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          crop/forest produce
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          mortgage of immovable property
        </labl>
        <catStat type="freq">
          498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          ornaments
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          other types of security
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          308
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V304" name="B17_q11" files="F11" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="70" width="6" RecSegNo="1"/>
      <labl>
        Repayment of loan during last year - Principal (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much principal amount was repaid by the household during last year?
        </qstnLit>
        <ivuInstr><![CDATA[Columns (11) to (13): repayment of loans during last 365 days:  For each loan recorded in this block it is to be ascertained as to whether the household has repaid any amount during 365 days preceding the date of survey. The amount of principal and interest repaid will be recorded in columns (11) and (12) will be shown in col. 13.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="192411"/>
      </valrng>
      <sumStat type="vald">
        994
      </sumStat>
      <sumStat type="invd">
        3266
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        192411
      </sumStat>
      <sumStat type="mean">
        1536.559
      </sumStat>
      <sumStat type="stdev">
        8816.997
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V305" name="B17_q12" files="F11" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="76" width="6" RecSegNo="1"/>
      <labl>
        Repayment of loan during last year - Interest (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much interest on loan was repaid by the household during last year?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="173191"/>
      </valrng>
      <sumStat type="vald">
        570
      </sumStat>
      <sumStat type="invd">
        3690
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        173191
      </sumStat>
      <sumStat type="mean">
        844.023
      </sumStat>
      <sumStat type="stdev">
        7347.032
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V306" name="B17_q13" files="F11" dcml="0" intrvl="contin">
      <location StartPos="77" EndPos="82" width="6" RecSegNo="1"/>
      <labl>
        Repayment of loan during last year - Total (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much total loan amount was repaid by the household during last year?
        </qstnLit>
        <ivuInstr>
          In case the respondent is unable to state the principal and interest amount separately, the total amount repaid during the reference period will be recorded in col. (13) keeping columns (11) and (12) blank.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="205911"/>
      </valrng>
      <sumStat type="vald">
        1197
      </sumStat>
      <sumStat type="invd">
        3063
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        205911
      </sumStat>
      <sumStat type="mean">
        1347.069
      </sumStat>
      <sumStat type="stdev">
        6907.742
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V307" name="B17_q14" files="F11" dcml="0" intrvl="contin">
      <location StartPos="83" EndPos="87" width="5" RecSegNo="1"/>
      <labl>
        Liquidation of loan during last year - Principal (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much principal amount of loan was liquidated during last year?
        </qstnLit>
        <ivuInstr>
          Columns (14) to (16): liquidation of loans during last 365 days: Sometimes, to provide debt relief to the weaker section and others, government agencies, banks etc. write off such loans. If such liquidation of debts took place during the reference period of 365 days preceding the date of survey, the total amount (including interest), would be recorded in cols. (14) to (16). It is important to note that amount repaid by the household will not be included under amount liquidated. Similarly, amount liquidated (exempted from paying) should not be taken as amount repaid.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="12500"/>
      </valrng>
      <sumStat type="vald">
        204
      </sumStat>
      <sumStat type="invd">
        4056
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12500
      </sumStat>
      <sumStat type="mean">
        1544.652
      </sumStat>
      <sumStat type="stdev">
        1626.072
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V308" name="B17_q15" files="F11" dcml="0" intrvl="contin">
      <location StartPos="88" EndPos="91" width="4" RecSegNo="1"/>
      <labl>
        Liquidation of loan during last year - Interest (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much interest on loan was liquidated during last year?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2000"/>
      </valrng>
      <sumStat type="vald">
        40
      </sumStat>
      <sumStat type="invd">
        4220
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2000
      </sumStat>
      <sumStat type="mean">
        315.375
      </sumStat>
      <sumStat type="stdev">
        438.917
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V309" name="B17_q16" files="F11" dcml="0" intrvl="contin">
      <location StartPos="92" EndPos="96" width="5" RecSegNo="1"/>
      <labl>
        Liquidation of loan during last year - Total (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much loan amount was liquidated during last year?
        </qstnLit>
        <ivuInstr>
          It is important to note that amount repaid by the household will not be included under amount liquidated. Similarly, amount liquidated (exempted from paying) should not be taken as amount repaid.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="12500"/>
      </valrng>
      <sumStat type="vald">
        208
      </sumStat>
      <sumStat type="invd">
        4052
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12500
      </sumStat>
      <sumStat type="mean">
        1516.25
      </sumStat>
      <sumStat type="stdev">
        1623.383
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V310" name="B17_q17" files="F11" dcml="0" intrvl="contin">
      <location StartPos="97" EndPos="102" width="6" RecSegNo="1"/>
      <labl>
        Amount outstanding on the date of survey - Principal (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much principal amount was outstanding on the date of survey?
        </qstnLit>
        <ivuInstr>
          Columns (17) to (19): amount outstanding on the date of survey: The amount outstanding of any loan on the date of survey will be recorded in these columns. It is to be noted that there may be some loans which have been repaid fully during the reference period of last 365 days preceding the date of survey and therefore there will not be any entry in columns (17) to (19) for such loans.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="474200"/>
      </valrng>
      <sumStat type="vald">
        3914
      </sumStat>
      <sumStat type="invd">
        346
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        474200
      </sumStat>
      <sumStat type="mean">
        2406.02
      </sumStat>
      <sumStat type="stdev">
        11717.716
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V311" name="B17_q18" files="F11" dcml="0" intrvl="contin">
      <location StartPos="103" EndPos="107" width="5" RecSegNo="1"/>
      <labl>
        Amount outstanding on the date of survey - Interest (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much interest was outstanding on the date of survey?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="74670"/>
      </valrng>
      <sumStat type="vald">
        2341
      </sumStat>
      <sumStat type="invd">
        1919
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        74670
      </sumStat>
      <sumStat type="mean">
        779.61
      </sumStat>
      <sumStat type="stdev">
        3046.336
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V312" name="B17_q19" files="F11" dcml="0" intrvl="contin">
      <location StartPos="108" EndPos="113" width="6" RecSegNo="1"/>
      <labl>
        Amount outstanding on the date of survey - Total (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much total loan amount was outstanding on the date of survey?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="4" max="548871"/>
      </valrng>
      <sumStat type="vald">
        4008
      </sumStat>
      <sumStat type="invd">
        252
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        548871
      </sumStat>
      <sumStat type="mean">
        2950.262
      </sumStat>
      <sumStat type="stdev">
        15831.264
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V313" name="Tribal_code" files="F11" intrvl="discrete">
      <location StartPos="114" EndPos="115" width="2" RecSegNo="1"/>
      <labl>
        Tribal code
      </labl>
      <sumStat type="vald">
        4258
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V314" name="MPCE" files="F11" dcml="2" intrvl="contin">
      <location StartPos="116" EndPos="122" width="7" RecSegNo="1"/>
      <labl>
        HH MPCE (Rs 0.00)
      </labl>
      <qstn>
        <qstnLit>
          cash dues and grain &amp; other commodity dues payable by the household and transaction of loans during last 365 days
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="7500"/>
      </valrng>
      <sumStat type="vald">
        4260
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        7500
      </sumStat>
      <sumStat type="mean">
        146.138
      </sumStat>
      <sumStat type="stdev">
        245.94
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
