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        <titl>NSSO_65_Schedule_21.1_Domestic Tourism</titl>
        <IDNo>DDI-IND-MOSPI-NSSO-65Rnd-Sch21pt1-2008-2009</IDNo>
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            Shalini Gupta
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    <citation>
      <titlStmt>
        <titl>Domestic Tourism: NSS 65th Round, Schedule 21.1, July 2008 - June 2009</titl>
        <altTitl>
          NSS 65th Round
        </altTitl>
        <IDNo>DDI-IND-MOSPI-NSSO-65Rnd-Sch21pt1-2008-2009</IDNo>
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      <rspStmt>
        <AuthEnty affiliation="M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI)">National Sample Survey Office</AuthEnty>
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          <p>
            Governing council and Working Group
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        <producer abbr="FOD" affiliation="National Sample Survey Office " role="Field Work">
          Field Operations Division
        </producer>
        <producer abbr="DPD" affiliation="National Sample Survey Office " role="Data Processing">
          Data Processing Division
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          DDG, Computer Centre
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        <serName>
          Socio-Economic/Monitoring Survey [hh/sems]
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        <serInfo><![CDATA[The National Sample Survey (NSS), set up by the Government of India in 1950 to collect socio-economic data employing scientific sampling methods, started its sixty-fifth round from 1st July 2008. The survey continued up to 30th June 2009. 

This schedule is designed to collect detailed information on 'domestic tourism' in India through a nationwide household survey in the 65th round of NSS. This will provide a comprehensive assessment of household characteristics, visitor characteristics, trip characteristics and expenditure characteristics in relation to domestic tourism in India. 

Previous surveys

43rd Round (July 1987 - June 1988)

Domestic tourism has not been covered comprehensively in any earlier NSS round. In the past, NSSO undertook an all-India survey covering only a few aspects of domestic tourism in its 43rd Round (July 1987 - June 1988) through a household survey by canvassing Schedule 21 (Travel Habits of Household). In that round, information was collected in two blocks - in the first, for journeys performed during the last 30 days and, in the other, for journeys performed for the purpose of pleasure and pilgrimage during the last 365 days. In both these blocks, information was collected on number of household members who travelled, name of main destination with separate code for whether that destination is 'within the district', 'outside district but within the state', 'outside the state but within the country' or 'outside the country', purpose of visit, type of journey (package/non-package), mode of transport, place of stay (type of hotel, lodge etc.), duration of absence from the normal place of residence, etc. and whether the tour was subsidised or financed by the employer/institution. The main objective of that survey was to estimate the volume of domestic tourism movements and to identify the motivations of tourism along with the lodging facilities availed by the tourists. In that survey no information was collected on expenditure incurred by tourists.  

54th round (January - June 1998)

Subsequently, in the 54th round (January - June 1998) of NSS, in Block 7 of Schedule 31 (Common Property Resources, Sanitation & Hygiene, Services) some information on particulars of tours involving overnight stay performed by household members was collected. In that block (details of journeys on tours undertaken by household members ended at any time during the last 60 days and involving overnight stay), information on purpose of journey, mode of journey, distance (one way), duration of journey in hours & minutes, total expenditure on transport and whether the expenditure was subsidised  etc. was collected.]]></serInfo>
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    <stdyInfo>
      <abstract>The economic and social importance of domestic tourism in a country like India, endowed with a splendid cultural and historical heritage, hardly needs to be emphasised. However, tourism, by itself, does not constitute any specific industry or sector in the economy. Rather, it is a composite of several traditional sectors like transport, accommodation, etc. Besides, tourism has linkages with distinct patterns of consumption and expenditure. Therefore, the importance of tourism in the national economy is manifold: in generating employment in various industries like hospitality, handicrafts, transport services etc. It also uniquely serves the purpose of maintenance of familial and social bonds, which is a great Indian tradition. Further, in view of the increase in tourism in recent years, tourism-specific development and investment requirements are also on the rise in the national economy.

This schedule is designed to collect detailed information on 'domestic tourism' in India through a nationwide household survey in the 65th round of NSS. This will provide a comprehensive assessment of household characteristics, visitor characteristics, trip characteristics and expenditure characteristics in relation to domestic tourism in India.</abstract>
      <sumDscr>
        <collDate date="2008-07-01" event="start" cycle="Sub Round 1"/>
        <collDate date="2008-09-30" event="end" cycle="Sub Round 1"/>
        <collDate date="2008-10-01" event="start" cycle="Sub Round 2"/>
        <collDate date="2008-12-31" event="end" cycle="Sub Round 2"/>
        <collDate date="2009-01-01" event="start" cycle="Sub Round 3"/>
        <collDate date="2009-03-31" event="end" cycle="Sub Round 3"/>
        <collDate date="2009-04-01" event="start" cycle="Sub Round 4"/>
        <collDate date="2009-06-30" event="end" cycle="Sub Round 4"/>
        <nation abbr="IND">India</nation>
        <geogCover>The survey will cover the whole of the Indian Union except (i) interior villages of Nagaland situated beyond five kilometres of the bus route and (ii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.</geogCover>
        <anlyUnit>Randomly selected households  based on sampling procedure and members of the household</anlyUnit>
        <universe>The survey used the interview method of data collection from a sample of randomly selected households and members of the household.</universe>
        <dataKind>
          Sample survey data [ssd]
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      <notes><![CDATA[In the present round, Schedule 21.1 is on domestic tourism and consists of ten blocks with two blocks, viz, Block 5 and Block 6, having two sub-blocks each, namely, Block 5.1 & Block 5.2 and Block 6.1 & Block 6.2 respectively. 

The first three blocks, viz., Block 0, Block 1 and Block 2, are to be used for recording identification of sample households and particulars of field operations, as practised in previous rounds. The last three blocks, viz., Block 7, Block 8 and Block 9, are to be used to record the remarks of investigator/senior investigator, superintendent/senior superintendent and other supervisory officer respectively. 

Block 3 is meant for recording household characteristics such as household size, principal industry, principal occupation, household type, religion, social group, number of overnight trips undertaken by the household during last 30 days and last 365 days separately, number of same-day trips undertaken by the household  during last 30 days and last 365 days separately, whether any NRI visited the household during last 365 days, what was the impact of the NRI visit in influencing the household to undertake any trip, whether some portion of the house was rented out to tourists for at least one night during the last 365 days, whether any member of the household is aware of the “Incredible India” campaign by Govt. of India and if so, where have the member(s) seen/heard the campaign, and what was its impact, whether any member of the household is aware of the tourism promotional campaigns by State Tourism departments / development corporations or any other organisation and if so, where have the member(s) seen/heard the campaign, and what was its impact. This block would also record household consumption expenditure through a set of five questions. 

Block 4 is to be used for recording the demographic and other particulars of all the household members. Such particulars include name of the household member, relation to head, sex, age, marital status, educational level, usual principal activity status, NIC (2-digit level) - for employed members, NCO (1-digit) - for employed members, number of overnight trips completed by the member during last 30 days and last 365 days separately, number of same-day trips completed by the member during last 30 days and last 365 days separately.

In Block 5.1 particulars of overnight trips made during last 30 days by household members are to be recorded. These include serial no. of the trip, number of household members in that trip, details of the characteristics of each household member who was in that trip, like serial no. of the member, age of the member, purpose of trip for the member, type of trip, mode of travel: major and minor, type of stay: major and minor, number of nights spent outside usual place of residence (including journey), and also characteristics of the trip like leading purpose  of the trip, starting month, ending month, main destination, state code and number of places visited during the trip. 

In Block 5.2 particulars of same-day trips made during last 30 days by household members are to be recorded. These include serial no. of the trip, number of household members in that trip, details of the characteristics of each household member who was in that trip like serial no. of the member, age of the member, purpose of trip for the member, type of trip, mode of travel: major and minor, type of stay, and also characteristics of the trip like leading purpose of the trip, month of visit, main destination, state code and number of places visited during the trip. 

Block 6.1 is designed to collect particulars of expenditure on the latest three overnight trips covered in Block 5.1. Here, the break-up of expenditure is to be recorded in detail along with information on reimbursement/direct payment by any institution. 

Block 6.2 is designed to collect aggregate of expenditures on all same-day trips covered in Block 5.2. Here, too, the break-up of expenditure is to be recorded in detail along with information on reimbursement/ direct payment by any institution.]]></notes>
      <subject>
        <keyword>Domestic Tourism</keyword>
        <keyword>NSS 65th Round</keyword>
        <keyword>Schedule 21.1</keyword>
        <keyword>July 2008 - June 2009</keyword>
      </subject>
    </stdyInfo>
    <method>
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        <sampProc>Outline of sample design: 
A stratified multi-stage design has been adopted for the 65th round survey. The first stage units (FSU) are the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. For towns with no UFS frame available (to be referred as 'non-UFS towns'), each town has been treated as an FSU. The ultimate stage units (USU) are households in both the sectors. In case of large FSUs, one intermediate stage of sampling is the selection of two hamlet-groups (hgs)/ sub-blocks (sbs) from each rural/ urban FSU. 

Sampling Frame for First Stage Units: 
For the rural sector, the list of 2001 census villages (the term 'village' means Panchayat wards for Kerala) has constituted the sampling frame. For the urban sector, the list of latest available UFS blocks has been considered as the sampling frame. For non-UFS towns, the list of towns as per Census 2001 has been the sampling frame.

Stratification for FSU: 

Rural sector: 
All villages of a district will form a separate stratum.

Urban sector: 
In the urban sector, strata will be formed within each NSS region on the basis of size class of towns as per Census 2001 town population. This departure has been made in the stratification principle in order to facilitate generation of town-class wise estimates to satisfy the requirements of the user ministries. The stratum numbers and their composition (within each region) are given below.

Stratum	Composition (within NSS region)	
1	All towns with population &lt; 50,000	
2	All towns with population 50,000 - 99,999	
3	All towns with population 1,00,000 - 4,99,999	
4	All towns with population 5,00,000 - 9,99,999	
 5, 6, …. 	Each million plus city 	

The non-UFS towns, if any, within an NSS region will be grouped together to form separate urban strata as per the size classes (in terms of population).

Sub-stratification: 
There has been no sub-stratification in the rural sector and for strata corresponding to non-UFS towns. 
  
Total sample size (FSUs): 
12928 FSUs for central sample and 13996 FSUs for state sample have been allocated at all-India level.

Allocation of total sample to States and UTs:  
The total number of sample FSUs is allocated to the States and UTs in proportion to population as per census 2001 subject to a minimum sample allocation to each State/ UT. While doing so, the resource availability in terms of number of field investigators has been kept in view.

Allocation of State/ UT level sample to rural and urban sectors: 
State/ UT level sample is allocated between two sectors in proportion to population as per census 2001 with 1.5 weightage to urban sector subject to the restriction that urban sample size for bigger states like Maharashtra, Tamil Nadu etc. should not exceed the rural sample size. A minimum of 4 FSUs is allocated to each state/ UT separately for rural and urban areas. Further the State level allocations for both rural and urban have been adjusted marginally in a few cases to ensure that each stratum gets a minimum allocation of 4 FSUs.</sampProc>
        <deviat>
          There was no deviation from the original sampling design.
        </deviat>
        <collMode>Face-to-face [f2f]</collMode>
        <resInstru><![CDATA[Schedule 21.1 is on domestic tourism and consists of ten blocks with two blocks, viz, Block 5 and Block 6, having two sub-blocks each, namely, Block 5.1 & Block 5.2 and Block 6.1 & Block 6.2 respectively. 

Block 0:   Descriptive identification of sample household 
Block 1 :  Identification of sample household
Block 2:    Particulars of field operations
Block 3 :   Household characteristics
Block 4 :   Demographic and other particulars for all household members
Block 5.1: Particulars of overnight trips completed by household members during  last 30 days
Block 5.2: Particulars of same-day trips completed by household members during last 30 days
Block 6.1: Particulars of  expenditure ( in Rs.) for latest 3 trips in last 30 days covered in block 5.1                                                                                                   
Block 6.2: Particulars of  aggregate expenditure ( in Rs.) for all trips in last 30 days covered in block 5.2                                                                                                   
Block 7:    Remarks by investigator/senior investigator
Block 8:    Comments by superintendent/ senior superintendent
Block 9:    Comments by other supervisory officer]]></resInstru>
        <sources/>
        <weight><![CDATA[Two different weights have been  provided in each file in the data set. Details are as follows:-

1.  Weight   for each sub sample is stored in the variable name   : Wgt_SubSample
2. Combined subsample weight is stored in  the variable name : Wgt_Combined]]></weight>
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          Computer Centre
        </contact>
        <conditions>
          Validated unit level data relating to various survey rounds are available on CD-ROMS which can be obtained from the Deputy Director General, Computer Centre, M/O Statistics and PI, East Block No. 10 R.K. Puram, New Delhi-110066 by remitting the price along with packaging and postal charges as well as giving an undertaking duly signed in a specified format.The amount is to be remitted by way of demand draft drawn in favour of Pay &amp; Accounts Officer, Ministry of Statistics &amp; Programme Implementation, payable at New Delhi.
        </conditions>
        <disclaimer>
          The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
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    <fileTxt>
      <fileName>
        Block 6pt1_Particulars of other expenditure on overnight trips during last 30 days.NSDstat
      </fileName>
      <fileCont>
        Block 6.1 is designed to collect particulars of expenditure on the latest three overnight trips covered in Block 5.1. Here, the break-up of expenditure is recorded in detail along with information on reimbursement/direct payment by any institution. This data file contains particulars of other expenditure on overnight trips during last 30 days.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F16" keyvar="V367"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          88350
        </caseQnty>
        <varQnty>
          31
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F11" URI="NSSO_65_Schedule_21pt1_Domestic tourism.Nesstar?Index=10&amp;Name=Block 6pt2_Particulars of accomodation expenditure on same-day trips during last 30 days">
    <fileTxt>
      <fileName>
        Block 6pt2_Particulars of accomodation expenditure on same-day trips during last 30 days.NSDstat
      </fileName>
      <fileCont>
        Block 6.2 is designed to collect aggregate of expenditures on all same-day trips covered in Block 5.2. Here, too, the break-up of expenditure is recorded in detail along with information on reimbursement/ direct payment by any institution. This data file contains particulars of accomodation expenditure on same-day trips during last 30 days.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F16" keyvar="V400"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          68205
        </caseQnty>
        <varQnty>
          33
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F12" URI="NSSO_65_Schedule_21pt1_Domestic tourism.Nesstar?Index=11&amp;Name=Block 6pt2_Particulars of food &amp; drink and transport expenditure on same-day trips during last 30 days">
    <fileTxt>
      <fileName>
        Block 6pt2_Particulars of food &amp; drink and transport expenditure on same-day trips during last 30 days.NSDstat
      </fileName>
      <fileCont>
        Block 6.2 is designed to collect aggregate of expenditures on all same-day trips covered in Block 5.2. Here, too, the break-up of expenditure is recorded in detail along with information on reimbursement/ direct payment by any institution. This data file contains particulars of food &amp; drink and transport expenditure on same-day trips during last 30 days.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F16" keyvar="V435"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          68205
        </caseQnty>
        <varQnty>
          35
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F13" URI="NSSO_65_Schedule_21pt1_Domestic tourism.Nesstar?Index=12&amp;Name=Block 6pt2_Particulars of shopping expenditure on same-day trips during last 30 days">
    <fileTxt>
      <fileName>
        Block 6pt2_Particulars of shopping expenditure on same-day trips during last 30 days.NSDstat
      </fileName>
      <fileCont>
        Block 6.2 is designed to collect aggregate of expenditures on all same-day trips covered in Block 5.2. Here, too, the break-up of expenditure is recorded in detail along with information on reimbursement/ direct payment by any institution. This data file contains particulars of shopping expenditure on same-day trips during last 30 days.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F16" keyvar="V470"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          68205
        </caseQnty>
        <varQnty>
          35
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F14" URI="NSSO_65_Schedule_21pt1_Domestic tourism.Nesstar?Index=13&amp;Name=Block 6pt2_Particulars of recreational etc. expenditure on same-day trips during last 30 days">
    <fileTxt>
      <fileName>
        Block 6pt2_Particulars of recreational etc.NSDstat
      </fileName>
      <fileCont>
        Block 6.2 is designed to collect aggregate of expenditures on all same-day trips covered in Block 5.2. Here, too, the break-up of expenditure is recorded in detail along with information on reimbursement/ direct payment by any institution. This data file contains particulars of recreational etc. expenditure on same-day trips during last 30 days.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F16" keyvar="V503"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          68205
        </caseQnty>
        <varQnty>
          33
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F15" URI="NSSO_65_Schedule_21pt1_Domestic tourism.Nesstar?Index=14&amp;Name=Block 6pt2_Particulars of other expenditure on same-day trips during last 30 days">
    <fileTxt>
      <fileName>
        Block 6pt2_Particulars of other expenditure on same-day trips during last 30 days.NSDstat
      </fileName>
      <fileCont>
        Block 6.2 is designed to collect aggregate of expenditures on all same-day trips covered in Block 5.2. Here, too, the break-up of expenditure is recorded in detail along with information on reimbursement/ direct payment by any institution. This data file contains particulars of other expenditure on same-day trips during last 30 days.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F16" keyvar="V533"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          68205
        </caseQnty>
        <varQnty>
          30
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="record" var="V2 V5 V6 V7 V32 V8 V9 V10 V11 V12 V13 V14 V15">
      <labl>
        Geographical identifiers
      </labl>
    </varGrp>
    <var ID="V31" name="HHID" files="F1" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a household
      </labl>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This primary key has been derived for uniquely identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1" name="Centre_Rnd_SubFolder" files="F1" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2" name="FSU_srl_no" files="F1" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V3" name="Round" files="F1" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          153308
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="Sch_no" files="F1" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          153308
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V5" name="Sample" files="F1" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V6" name="Sector" files="F1" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </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">
          97074
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          56234
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V7" name="State_Region" files="F1" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </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="V32" name="State" files="F1" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          2257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          2264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          3423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          543
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          1343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          2869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          3290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          6673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          18708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          6658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          3456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          3456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          2100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          5555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          12060
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          3246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          5824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          2551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          8385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          6258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          12347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          9096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          6505
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          6181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          9489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          444
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V8" name="District" files="F1" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V9" name="Stratum" files="F1" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="Sub_Stratum" files="F1" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        56222
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V11" name="Sub_Round" files="F1" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          38206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          38383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          38410
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          38309
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V12" name="Sub_Sample" files="F1" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </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">
          76575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          76733
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V13" name="FOD_SubRegion" files="F1" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V14" name="HG_SubBlk_No" files="F1" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V15" name="Second_Stratum" files="F1" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V16" name="Hhold_No" files="F1" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V17" name="Level" files="F1" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          153308
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V18" name="Srl_No_Informant" files="F1" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Sl. No. of informant
      </labl>
      <qstn>
        <qstnLit>
          Sl. No. of informant
        </qstnLit>
        <ivuInstr>
          The serial number (as recorded in Column 1 of Block 4) of the person who will provide the bulk of information is to be entered here. It may be noted that under normal circumstances, information is to be collected from the members of the household. However, under compelling circumstances, if a major part of the information is collected from a person who is not a member of the household, code '99' will be recorded against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V19" name="Resp_Code" files="F1" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Response Code
      </labl>
      <qstn>
        <qstnLit>
          Response Code
        </qstnLit>
        <ivuInstr><![CDATA[This item will be filled in after collecting information for all items in the schedule.  The entry is to be made in code 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">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The entry against this item has been made after collecting all the required information for all the items in the schedule.  The entry has been in code on the basis of the impression formed by the investigator regarding overall quality of response of the informant and the informant's perception about the schedule.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl><![CDATA[ informant : cooperative and  capable]]></labl>
        <catStat type="freq">
          122123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          informant : cooperative but not capable
        </labl>
        <catStat type="freq">
          27772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          informant : busy
        </labl>
        <catStat type="freq">
          1905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          informant : reluctant
        </labl>
        <catStat type="freq">
          1360
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V20" name="Survey_Code" files="F1" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <qstn>
        <qstnLit>
          Survey Code
        </qstnLit>
        <ivuInstr>
          Whether the originally selected sample household or a substitute household has been surveyed will be indicated against this item by recording code '1' if the originally selected household has been surveyed and code '2' if the substitute household has been surveyed. If neither the originally selected household nor a substitute household could be surveyed, i.e., if the sample household is a casualty, code '3' will be recorded. In case of a casualty only the Blocks 0, 1, 2, 7, 8 and 9 are to be filled up and at the top of the front page of the schedule the word 'CASUALTY' will be written in block capitals.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The item records whether the originally selected household or a substitute house­hold has been surveyed or no household could be surveyed.  The entries have been made in terms of codes.  Code 1 has been recorded when originally selected household is surveyed and code 2 has been recorded when a substitute household is surveyed.  If neither the originally selected household nor a substitute household could be surveyed, i.e. if the sample household is a casualty, code 3 has been recorded.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          original
        </labl>
        <catStat type="freq">
          149965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          substitute
        </labl>
        <catStat type="freq">
          3343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          casualty
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V21" name="Subst_Code" files="F1" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        Reason for substitution (code)
      </labl>
      <qstn>
        <qstnLit>
          Reason for substitution (code)
        </qstnLit>
        <ivuInstr><![CDATA[For an originally selected sample household which could not be surveyed, the reason for not surveying the original household will be recorded against item 19 in code, irrespective of whether a substituted household could be surveyed or not. The codes are: 

informant busy .............................             1	
members away from home ..........              2	
informant non-cooperative ..........              3	
others ..........................................               9	

This item is applicable if the entry against survey code is either 2 or 3. Otherwise, this item is to be left blank.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        3343
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        If the originally selected household could not be sur­veyed, irrespective of whether a substituted household could be surveyed or not, the reason for the one originally selected becoming a casualty has been recorded against this item in terms of codes.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          informant busy
        </labl>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          members away from home
        </labl>
        <catStat type="freq">
          2602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          informant non-cooperative
        </labl>
        <catStat type="freq">
          454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          181
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V22" name="Survey_Date" files="F1" intrvl="discrete">
      <location StartPos="53" EndPos="58" width="6" RecSegNo="1"/>
      <labl>
        Date of Survey
      </labl>
      <qstn>
        <qstnLit>
          Date of Survey
        </qstnLit>
        <ivuInstr>
          If more than one day is required to canvass the schedule, the date of the first day of survey is to be recorded here.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        153302
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V23" name="Despatch_Date" files="F1" intrvl="discrete">
      <location StartPos="59" EndPos="64" width="6" RecSegNo="1"/>
      <labl>
        Date of Despatch
      </labl>
      <qstn>
        <qstnLit>
          Date of Despatch
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153264
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V24" name="TmeToCanvassSch" files="F1" intrvl="discrete">
      <location StartPos="65" EndPos="67" width="3" RecSegNo="1"/>
      <labl>
        Time to canvass (mins.)
      </labl>
      <qstn>
        <qstnLit>
          Time to canvass (mins.)
        </qstnLit>
        <ivuInstr>
          Total time taken to canvass Schedule 21.1 will be recorded here. The time required to canvass the schedule will mean the actual time to canvass the schedule and will not include the time needed by the investigator to finalise the schedule.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        153175
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V25" name="Blk7_remarks" files="F1" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Remarks in block 7
      </labl>
      <qstn>
        <ivuInstr>
          If any remarks are recorded in Block 7, then entry should be '1' , else the entry should be '2'.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        153271
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V26" name="Blk8_9_remarks" files="F1" intrvl="discrete">
      <location StartPos="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        Remarks in block 8/9
      </labl>
      <qstn>
        <ivuInstr>
          If any comments are recorded in Blocks 8 or 9, then entry should be '1', else the entry should be '2'.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        153156
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V27" name="Other_remarks" files="F1" intrvl="discrete">
      <location StartPos="70" EndPos="70" width="1" RecSegNo="1"/>
      <labl>
        Remarks elsewhere in Sch
      </labl>
      <qstn>
        <ivuInstr>
          If any remarks/comments are recorded elsewhere in the schedule, then entry should be '1' , else the entry should be '2'.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        152789
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V28" name="NSS" files="F1" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V29" name="NSC" files="F1" intrvl="discrete">
      <location StartPos="73" EndPos="75" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V30" name="MLT" files="F1" dcml="0" intrvl="contin">
      <location StartPos="76" EndPos="83" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="50725350"/>
      </valrng>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        50725350
      </sumStat>
      <sumStat type="mean">
        293022.358
      </sumStat>
      <sumStat type="stdev">
        632285.733
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V33" name="Wgt_SubSample" wgt="wgt" files="F1" dcml="2" intrvl="contin">
      <location StartPos="84" EndPos="92" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="507253.5"/>
      </valrng>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        507253.5
      </sumStat>
      <sumStat type="mean">
        2930.224
      </sumStat>
      <sumStat type="stdev">
        6322.857
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V34" name="Wgt_Combined" wgt="wgt" files="F1" dcml="2" intrvl="contin">
      <location StartPos="93" EndPos="101" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="253626.75"/>
      </valrng>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        253626.75
      </sumStat>
      <sumStat type="mean">
        1465.112
      </sumStat>
      <sumStat type="stdev">
        3161.429
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V591" name="HHID" files="F16" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a household
      </labl>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This primary key has been derived for uniquely identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V546" name="Centre_Rnd_SubFolder" files="F16" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V547" name="FSU_srl_no" files="F16" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </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="V548" name="Round" files="F16" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          153308
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V549" name="Sch_no" files="F16" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          153308
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V550" name="Sample" files="F16" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V551" name="Sector" files="F16" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </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">
          97074
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          56234
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V552" name="State_Region" files="F16" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </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="V592" name="State" files="F16" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          2257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          2264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          3423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          543
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          1343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          2869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          3290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          6673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          18708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          6658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          3456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          3456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          2100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          5555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          12060
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          3246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          5824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          2551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          8385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          6258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          12347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          9096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          6505
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          6181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          9489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          444
        </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="V553" name="District" files="F16" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V554" name="Stratum" files="F16" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V555" name="Sub_Stratum" files="F16" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        56222
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V556" name="Sub_Round" files="F16" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          38206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          38383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          38410
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          38309
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V557" name="Sub_Sample" files="F16" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </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">
          76575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          76733
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V558" name="FOD_SubRegion" files="F16" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V559" name="HG_SubBlk_No" files="F16" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V560" name="Second_Stratum" files="F16" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V561" name="Hhold_No" files="F16" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V562" name="Level" files="F16" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          153308
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V596" name="B3_q1" files="F16" dcml="0" intrvl="contin">
      <location width="2" RecSegNo="1"/>
      <labl>
        Household Size
      </labl>
      <qstn>
        <qstnLit>
          How many members are there in the household?
        </qstnLit>
        <ivuInstr>
          Household size refers to the number of members listed in the household. The total number of persons normally residing together (i.e., under the same roof) and taking food from the same kitchen (including temporary stay-aways and excluding temporary visitors and guests) will be recorded against this item. This number should tally with the last serial number in column1 of Block 4, the 'demographic block'.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V564" name="B3_q2" files="F16" intrvl="discrete">
      <location StartPos="50" EndPos="54" width="5" RecSegNo="1"/>
      <labl>
        NIC- 2004 Code(5-digit)
      </labl>
      <qstn>
        <qstnLit>
          Which industry are you working in?
        </qstnLit>
        <ivuInstr>
          The description of the principal household industry will be recorded in the space provided. The description of the principal industry should be recorded in as specific terms as possible based on the description given by the informant. In other words, the industry description should not be copied from the NIC booklet if the informant's description gives a clearer idea of the industrial activity, which determines the principal industry of the household. The entry cell for item 2 has been split into five parts for recording each digit separately. The appropriate five-digit industry code of the NIC-2004 will be recorded here. For households deriving income from non-economic activities only, a dash(-) may be put against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        143364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The Industry Divisions 96 and 97 of NIC-2004 will not be used for the purpose of collection of information on industry of activity. The entire range of activities described under Division 97 is outside the production boundary of the Indian System of National Accounts (ISNA) and is not considered as economic activity in the NSS survey. A part of the activities under Division 96 (viz., hunting and gathering, farming and the production of shelter), which is within the production boundary of ISNA, is also considered as economic activity in NSS surveys and the industry in case of such undifferentiated activities will be determined in the usual manner as is done now, by considering the industry in which major time is spent. Thus, these activities will get classified against the respective industries under Divisions 01-14 relating to the primary sector or Division 45 relating to construction. The rest of Division 96 is outside the production boundary of ISNA and will not be considered as economic activity for the NSS survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V565" name="B3_q3" files="F16" intrvl="discrete">
      <location StartPos="55" EndPos="57" width="3" RecSegNo="1"/>
      <labl>
        NCO - 2004 Code(3-digit)
      </labl>
      <qstn>
        <qstnLit>
          Which occupation are you in?
        </qstnLit>
        <ivuInstr>
          The description of the principal household occupation will be recorded in the space provided. As in the case of principal household industry, the description of the principal occupation, too, should be recorded in as specific terms as possible, based on the description given by the informant. In other words, the occupation description should not be copied from the NCO booklet if the informant's description gives a clearer idea of the principal occupation pursued by the household. The appropriate three-digit occupation code of the NCO-2004 is to be recorded in the entry cell, which has been divided into three parts for recording each digit separately. For households deriving income from non-economic activities only, a dash(-) may be put against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        143472
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V566" name="B3_q4" files="F16" intrvl="discrete">
      <location StartPos="58" EndPos="58" width="1" RecSegNo="1"/>
      <labl>
        Household type
      </labl>
      <qstn>
        <qstnLit>
          Household type
        </qstnLit>
        <ivuInstr><![CDATA[The household type code based on the means of livelihood of a household will be decided on the basis of the sources of the household's income during the 365 days preceding the date of survey.  For this purpose, only the household's income (net income and not gross income) from economic activities will be considered but the incomes of servants and paying guests will not be taken into account.

For the rural areas, the selected household will be assigned the appropriate type code out of the following five different household type codes:

         	self-employed in non-agriculture  - 1, 	
                 agricultural labour 	-2, 
                 other labour - 3, 	
                 self-employed in agriculture  	 -4, 	
                  others - 9
For urban areas, the household type codes are as follows: 

                 self-employed 	- 1,
                 regular wage/salary earning	 - 2, 
                  casual labour	 - 3, 	
                  others	 - 9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        153259
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V595" name="HH_Type" files="F16" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        Sector wise household type
      </labl>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Invalid - rural
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          self-employed in non-agriculture - rural
        </labl>
        <catStat type="freq">
          14931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          agricultural labour - rural
        </labl>
        <catStat type="freq">
          19894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[other labour  - rural ]]></labl>
        <catStat type="freq">
          10417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          self-employed in agriculture - rural
        </labl>
        <catStat type="freq">
          37820
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Others - rural
        </labl>
        <catStat type="freq">
          13988
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Invalid - urban
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          self-employed - urban
        </labl>
        <catStat type="freq">
          21275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          regular wage/salary earning - urban
        </labl>
        <catStat type="freq">
          22704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          casual labour - urban
        </labl>
        <catStat type="freq">
          6650
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Others - urban
        </labl>
        <catStat type="freq">
          5580
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived by concatenating the variables "sector" and "household type" to enable the users to easily access information on "sector wise household type".
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V567" name="B3_q5" files="F16" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        Religion
      </labl>
      <qstn>
        <qstnLit>
          What is your religion?
        </qstnLit>
        <ivuInstr><![CDATA[The religion of the household will be recorded against this item in code. If different mem­bers of the household claim to belong to different religions, the religion of the head of the household will be considered as the religion of the household. 

The codes are:
Hinduism  ..........   1                  Jainism  .................  5
Islam  .................   2                  Buddhism  .............  6
Christianity  ........  3                  Zoroastrianism ......  7
Sikhism  ..............  4                  others ....................  9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        153302
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Hinduism
        </labl>
        <catStat type="freq">
          119703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Islam
        </labl>
        <catStat type="freq">
          18263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Christianity
        </labl>
        <catStat type="freq">
          9356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sikhism
        </labl>
        <catStat type="freq">
          2593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Jainism
        </labl>
        <catStat type="freq">
          418
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Buddhism
        </labl>
        <catStat type="freq">
          1753
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Zoroastrianism
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1198
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V568" name="B3_q6" files="F16" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        Social Group
      </labl>
      <qstn>
        <qstnLit><![CDATA[Which social group do you belong to?
Do you come under scheduled caste or  scheduled tribe or other backward classes or others category?]]></qstnLit>
        <ivuInstr><![CDATA[Whether or not the household belongs to the Scheduled Tribes, Scheduled Castes or Other Backward Classes will be indicated against this item in code, the codes being:
                    Scheduled Tribe - 1,   Scheduled Caste - 2,   Other Backward Classes - 3,   others - 9.

Those who do not come under any one of the first three social groups will be assigned code 9, which is meant to cover all other categories. In case different members belong to different social groups, the group to which the head of the household belongs will be considered as the 'social group' of the household.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        153265
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Scheduled Tribe
        </labl>
        <catStat type="freq">
          19470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Scheduled Caste
        </labl>
        <catStat type="freq">
          27078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other Backward Class
        </labl>
        <catStat type="freq">
          56859
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          49858
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V569" name="B3_q7a" files="F16" dcml="0" intrvl="contin">
      <location StartPos="63" EndPos="64" width="2" RecSegNo="1"/>
      <labl>
        No. of overnight trips during 30 days
      </labl>
      <qstn>
        <qstnLit>
          How many overnight trips have been undertaken by the household during last 30 days?
        </qstnLit>
        <ivuInstr>
          An overnight trip refers to a trip of duration of at least one night outside the usual environment. In case of a single night overnight trip, the night should be spread over two consecutive dates implying that it should start before and end after twelve midnight. The total number of overnight trips performed by household member(s) which ended during the last 30 days should be reported here. A single trip in which more than one member participated should be counted once only.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="15"/>
      </valrng>
      <sumStat type="vald">
        79941
      </sumStat>
      <sumStat type="invd">
        73367
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        1.127
      </sumStat>
      <sumStat type="stdev">
        0.442
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes><![CDATA[Note a:  If the number entered is greater than 3 (three) then there should be a remark in Block 7. 

Note b: In case no overnight trip has been performed by household member(s) which ended during last 30 days, a dash (-) may be put against this item.

Note c: Any household member(s) may perform both overnight and same-day trips during the last 30 days. In such cases, the number of such overnight trips will be considered for item 7.1 and the number of such same-day trips will be considered for item 8.1.]]></notes>
    </var>
    <var ID="V570" name="B3_q7b" files="F16" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="67" width="3" RecSegNo="1"/>
      <labl>
        No. of overnight trips during 365 days
      </labl>
      <qstn>
        <qstnLit>
          How many overnight trips have been undertaken by the household during last 365 days?
        </qstnLit>
        <ivuInstr>
          The total number of overnight trips performed by household member(s) which ended during the last 365 days should be reported here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="216"/>
      </valrng>
      <sumStat type="vald">
        144673
      </sumStat>
      <sumStat type="invd">
        8635
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        216
      </sumStat>
      <sumStat type="mean">
        4.848
      </sumStat>
      <sumStat type="stdev">
        4.274
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes><![CDATA[Note a:  If the number entered is greater than 8 (eight) then there should be a remark in Block 7. 

Note b: In case no overnight trip has been performed by household member(s) which ended during last 365 days, a dash (-) may be put against this item.

Note c: Any household member(s) may perform both overnight and same-day trips during the last 365 days. In such cases, the number of such overnight trips will be considered for item 7.2 and the number of such same-day trips will be considered for item 8.2.]]></notes>
    </var>
    <var ID="V571" name="B3_q8a" files="F16" dcml="0" intrvl="contin">
      <location StartPos="68" EndPos="69" width="2" RecSegNo="1"/>
      <labl>
        No. of same-day trips during 30 days
      </labl>
      <qstn>
        <qstnLit>
          How many same-day trips have been undertaken by the household during last 30 days?
        </qstnLit>
        <ivuInstr>
          A same-day trip refers to a trip which does not cover even a single night. This means that the trip should start and end on the same day (0000 hrs to 2359 hrs). The total number of same-day trips performed by household member(s) during the last 30 days should be reported here. A single trip in which more than one member participated should be counted once only.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="33"/>
      </valrng>
      <sumStat type="vald">
        68989
      </sumStat>
      <sumStat type="invd">
        84319
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        33
      </sumStat>
      <sumStat type="mean">
        1.429
      </sumStat>
      <sumStat type="stdev">
        1.049
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes><![CDATA[Note a:  If the number entered is greater than 4 (four) then there should be a remark in Block 7.

Note b: In case no same-day trip has been performed by household member(s) during last 30 days, a dash (-) may be put against this item.

Note c: Any household member(s) may perform both overnight and same-day trips during the last 30 days. In such cases, the number of such overnight trips will be considered for item 7.1 and the number of such same-day trips will be considered for item 8.1.]]></notes>
    </var>
    <var ID="V572" name="B3_q8b" files="F16" dcml="0" intrvl="contin">
      <location StartPos="70" EndPos="72" width="3" RecSegNo="1"/>
      <labl>
        No. of same-day trips during 365 days
      </labl>
      <qstn>
        <qstnLit>
          How many same-day trips have been undertaken by the household during last 365 days?
        </qstnLit>
        <ivuInstr>
          The total number of same-day trips performed by household member(s) during the last 365 days should be reported here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="468"/>
      </valrng>
      <sumStat type="vald">
        144077
      </sumStat>
      <sumStat type="invd">
        9231
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        468
      </sumStat>
      <sumStat type="mean">
        8.508
      </sumStat>
      <sumStat type="stdev">
        9.629
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes><![CDATA[Note a:  If the number entered is greater than 12 (twelve) then there should be a remark in Bl 7. 

Note b: In case no same-day trip has been performed by household member(s) during last 365 days, a dash (-) may be put against this item.

Note c: Any household member(s) may perform both overnight and same-day trips during the last 365 days. In such cases, the number of such overnight trips will be considered for item 7.2 and the number of such same-day trips will be considered for item 8.2.]]></notes>
    </var>
    <var ID="V573" name="B3_q9a" files="F16" intrvl="discrete">
      <location StartPos="73" EndPos="73" width="1" RecSegNo="1"/>
      <labl><![CDATA[Visit  of NRI during 365 days]]></labl>
      <qstn>
        <qstnLit>
          Whether any NRI visited the household during last 365 days?
        </qstnLit>
        <ivuInstr><![CDATA[If any NRI,  who is a friend or relative or acquaintance of any of the household members, visited the household during the last 365 days, then code '1' is to be recorded. It is not necessary that the NRI should have stayed overnight in the household. It will suffice if he has spent some time with the household members in the household.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        153284
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          3492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          149783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V574" name="B3_q9b" files="F16" intrvl="discrete">
      <location StartPos="74" EndPos="74" width="1" RecSegNo="1"/>
      <labl>
        Impact of the NRI visit
      </labl>
      <qstn>
        <qstnLit>
          What was the impact of the NRI visit in influencing the household to undertake trips?
        </qstnLit>
        <ivuInstr><![CDATA[If any NRI visited the household in last 365 days, i.e., if the entry in item 9.1 is '1' then this item should be canvassed.  Here, the impact of such visit on domestic tourism is to be ascertained from among the following possibilities and to be recorded in code: 

Resulted into one or more trips- 1, 
Planning to make a trip in near future- 2
Willing to make trip but could not make it due to other constraints (like time, money etc.) -3, 
No impact- 4,
Cannot say- 5]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        3492
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          resulted into one or more trips
        </labl>
        <catStat type="freq">
          468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          planning to make a trip in near future
        </labl>
        <catStat type="freq">
          282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          willing to make trip but could not make it due to other constraints (like time, money etc)
        </labl>
        <catStat type="freq">
          385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          no impact
        </labl>
        <catStat type="freq">
          2080
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          cannot say
        </labl>
        <catStat type="freq">
          277
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
      <notes>
        Note: In case different codes are reported for different members then the code for the seniormost household member as reported by the informant is to be recorded.
      </notes>
    </var>
    <var ID="V575" name="B3_q10" files="F16" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Whether a portion of the house was rented out to the tourist in 365 days
      </labl>
      <qstn>
        <qstnLit>
          Whether some portion of the house was rented out to the tourists for at least one night during the last 365 days?
        </qstnLit>
        <ivuInstr>
          If any part or portion of the dwelling unit of the household was rented out to tourists for at least one night during the last 365 days then code '1' is to be recorded. If no such portion was rented out in last 65 days then the code should be '2'. If the informant is not sure that the person(s) to whom some portion of the house was rented was a tourist or not then code should be '3'.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        153111
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          152014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Can not say
        </labl>
        <catStat type="freq">
          980
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V576" name="B3_q11a" files="F16" intrvl="discrete">
      <location StartPos="76" EndPos="76" width="1" RecSegNo="1"/>
      <labl>
        Whether any member of the household aware of Incredible India
      </labl>
      <qstn>
        <qstnLit>
          Whether any member of the household is aware of the “Incredible India” campaign by the Govt. of India?
        </qstnLit>
        <ivuInstr>
          The Ministry of Tourism, Government of India, has launched a campaign captioned 'Incredible India' through advertisement to boost up tourism in the country. If any of the household members had seen/heard this advertisement in any form of media, e.g. TV, hoardings, Internet, newspaper, etc., then code '1' is to be recorded. Otherwise code '2' should be recorded. If '1' is recorded in item 11.1, then items 11.2 and 11.3 are to be filled in. Otherwise, the next item to be filled in will be item 12.1.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        153298
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          23610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          129685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V577" name="B3_q11b" files="F16" intrvl="discrete">
      <location StartPos="77" EndPos="77" width="1" RecSegNo="1"/>
      <labl>
        Where seen / heard the campaign
      </labl>
      <qstn>
        <qstnLit>
          Where have the member(s) seen /heard the campaign?
        </qstnLit>
        <ivuInstr><![CDATA[If any household member has seen/heard the 'Incredible India' advertisement then the appropriate code for this item from the following codes is to be recorded:
			Newspaper/magazine-1,                     Radio- 2,                                   
			TV- 3,                                                 Internet- 4, 
                        Billboard/hoarding- 5,                        More than one of these- 6,         
                        Others- 9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        23610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          newspaper/magazine
        </labl>
        <catStat type="freq">
          2666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          radio
        </labl>
        <catStat type="freq">
          1036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          TV
        </labl>
        <catStat type="freq">
          14739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          internet
        </labl>
        <catStat type="freq">
          134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          billboard/hoarding
        </labl>
        <catStat type="freq">
          250
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          more than one of these
        </labl>
        <catStat type="freq">
          4183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          602
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V578" name="B3_q11c" files="F16" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        What was the impact of the campaign
      </labl>
      <qstn>
        <qstnLit>
          What was the impact of seeing/hearing the campaign?
        </qstnLit>
        <ivuInstr><![CDATA[If any household member had seen/heard the 'Incredible India' advertisement then its impact on domestic tourism is to be ascertained from among the following possibilities and recorded in code: 

Resulted into one or more trips- 1, 
Planning to make a trip in near future- 2
Willing to make trip but could not make it due to other constraints (like time, money etc.) -3, 
No impact- 4,
Cannot say- 5

In case different codes are reported for different members the code for the seniormost household member as reported by the informant is to be recorded.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        23610
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          resulted into one or more trips
        </labl>
        <catStat type="freq">
          1023
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          planning to make a trip in near future
        </labl>
        <catStat type="freq">
          3843
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          willing to make trip but could not make it due to other constraints (like time, money etc)
        </labl>
        <catStat type="freq">
          10424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          no impact
        </labl>
        <catStat type="freq">
          6485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          cannot say
        </labl>
        <catStat type="freq">
          1835
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V579" name="B3_q12a" files="F16" intrvl="discrete">
      <location StartPos="79" EndPos="79" width="1" RecSegNo="1"/>
      <labl>
        Awareness of tourism promotional campaigns of state tourism Depart.
      </labl>
      <qstn>
        <qstnLit><![CDATA[Whether any member of the household is aware of the tourism promotional campaigns by state  tourism departments / development corporations  or any other organization?]]></qstnLit>
        <ivuInstr>
          Various state tourism departments or state tourism development corporation or some other organization through advertisement also attempt to increase tourism in their respective state or in country as a whole. If any of the household members had seen/heard such advertisement in any form of media, e.g. TV, hoardings, Internet, newspaper, etc., then code '1' is to be recorded. Otherwise code '2' should be recorded. If '1' is recorded in item 12.1, then items 12.2 and 12.3 are to be filled in. Otherwise, the next item to be filled in will be item 13.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        153282
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          24964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          128314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V580" name="B3_q12b" files="F16" intrvl="discrete">
      <location StartPos="80" EndPos="80" width="1" RecSegNo="1"/>
      <labl>
        Where seen / heard the campaign
      </labl>
      <qstn>
        <qstnLit>
          Where have the member(s) seen /heard the campaign?
        </qstnLit>
        <ivuInstr><![CDATA[If any household member has seen/heard such advertisement then the appropriate code for this item from the following codes is to be recorded:
			Newspaper/magazine-1,                     	Radio- 2,                                   
			TV- 3,                                                	Internet- 4, 
                       	Billboard/hoarding- 5,                        	More than one of these- 6,         
                        	Others- 9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        24964
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          newspaper/magazine
        </labl>
        <catStat type="freq">
          4494
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          radio
        </labl>
        <catStat type="freq">
          1630
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          TV
        </labl>
        <catStat type="freq">
          9287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          internet
        </labl>
        <catStat type="freq">
          109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          billboard/hoarding
        </labl>
        <catStat type="freq">
          1897
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          more than one of these
        </labl>
        <catStat type="freq">
          6303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          1244
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V581" name="B3_q12c" files="F16" intrvl="discrete">
      <location StartPos="81" EndPos="81" width="1" RecSegNo="1"/>
      <labl>
        What was the impact of the campaign
      </labl>
      <qstn>
        <qstnLit>
          What was the impact of seeing/hearing the campaign?
        </qstnLit>
        <ivuInstr><![CDATA[If any household member had seen/heard such advertisement then its impact on domestic tourism is to be ascertained from among the following possibilities and recorded in code: 

Resulted into one or more trips- 1, 
Planning to make a trip in near future- 2
Willing to make trip but could not make it due to other constraints (like time, money etc.) -3, 
No impact- 4,
Cannot say- 5

Note: In case different codes are reported for different members the code for the seniormost household member as reported by the informant is to be recorded.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        24964
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          resulted into one or more trips
        </labl>
        <catStat type="freq">
          1875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          planning to make a trip in near future
        </labl>
        <catStat type="freq">
          3811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          willing to make trip but could not make it due to other constraints (like time, money etc)
        </labl>
        <catStat type="freq">
          10886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          no impact
        </labl>
        <catStat type="freq">
          6634
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          cannot say
        </labl>
        <catStat type="freq">
          1758
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V582" name="B3_q13" files="F16" dcml="0" intrvl="contin">
      <location StartPos="82" EndPos="87" width="6" RecSegNo="1"/>
      <labl>
        Purchase (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much did the household spend on purchases during the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="503400"/>
      </valrng>
      <sumStat type="vald">
        153155
      </sumStat>
      <sumStat type="invd">
        153
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        503400
      </sumStat>
      <sumStat type="mean">
        3988.337
      </sumStat>
      <sumStat type="stdev">
        4967.765
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes><![CDATA[The following points are to be kept in mind:
Ø	Here 'purchase' includes not only purchases of goods but also cash payments for 'purchase' of services such as transport, education, medical, rent, electricity and telephone. 
Ø	For food, pan, tobacco, intoxicants, fuel, clothing and footwear, items gifted to non-household members (except cooked meals) are to be excluded and excess purchases (of foodgrains, etc.) not consumed during the reference period are also to be excluded. Consumption during the last 30 days out of purchases made more than 30 days ago is to be added.
Ø	Instalment payments for household durables are to be included, as well as repairs and construction expenditure of household durables, and expenditure on repair and maintenance of dwelling unit. 
Ø	Any expenditure incurred towards purchase of immovable property like land, building, etc. will be excluded. 
Ø	Also, for households having an enterprise, any amount spent for enterprise purposes will be excluded; for households owning livestock, any amount spent on food consumed by livestock will be excluded; for cultivator households, any farm expenditure will be excluded.]]></notes>
    </var>
    <var ID="V583" name="B3_q14" files="F16" dcml="0" intrvl="contin">
      <location StartPos="88" EndPos="92" width="5" RecSegNo="1"/>
      <labl>
        Home produced stock (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Did the household members use any goods grown/produced by the household for their own consumption during the last 30 days? If so, how much? What was the estimated value of such goods consumed at ex farm/factory price?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="21000"/>
      </valrng>
      <sumStat type="vald">
        73695
      </sumStat>
      <sumStat type="invd">
        79613
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        21000
      </sumStat>
      <sumStat type="mean">
        963.644
      </sumStat>
      <sumStat type="stdev">
        918.776
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes>
        The goods could be cereals, pulses, vegetables, milk, firewood &amp; chips, cow dung, footwear, clothes, etc.
      </notes>
    </var>
    <var ID="V584" name="B3_q15" files="F16" dcml="0" intrvl="contin">
      <location StartPos="93" EndPos="97" width="5" RecSegNo="1"/>
      <labl>
        Exchange of goods &amp; services (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Did the household, during the last 30 days, receive any goods and services in return for services provided (or goods bartered) by household members? What is the estimated value of these goods and services at local retail prices?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="18000"/>
      </valrng>
      <sumStat type="vald">
        19459
      </sumStat>
      <sumStat type="invd">
        133849
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        18000
      </sumStat>
      <sumStat type="mean">
        320.305
      </sumStat>
      <sumStat type="stdev">
        588.256
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes>
        For wage/salaried households, such items could be perquisites like free electricity, free telephone services, free medical services, etc. Agricultural labourers might receive payments in foodgrains, vegetables, meals, etc. for their labour from cultivators. A village barber might receive his payment in foodgrains, vegetables, clothing, etc. These are to be considered while recording information against this item.
      </notes>
    </var>
    <var ID="V585" name="B3_q16" files="F16" dcml="0" intrvl="contin">
      <location StartPos="98" EndPos="103" width="6" RecSegNo="1"/>
      <labl>
        Gifts &amp; loans (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Were any items of the following categories - food, pan, tobacco, intoxicants, fuel, clothing and footwear - borrowed for household consumption or received as gifts during the last 30 days? What is the estimated value of these goods at local retail prices?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="200000"/>
      </valrng>
      <sumStat type="vald">
        32670
      </sumStat>
      <sumStat type="invd">
        120638
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        200000
      </sumStat>
      <sumStat type="mean">
        300.023
      </sumStat>
      <sumStat type="stdev">
        1309.48
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes>
        Note that goods obtained as gift or loan other than items of these categories are not to be considered here. For example, books or watches or cosmetics borrowed or received as gift from other households are not to be considered.
      </notes>
    </var>
    <var ID="V586" name="B3_q17" files="F16" dcml="0" intrvl="contin">
      <location StartPos="104" EndPos="107" width="4" RecSegNo="1"/>
      <labl>
        Free collection (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Was any item obtained by the household through free collection during the last 30 days for its consumption? What is the estimated value of these items at local retail prices?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="8000"/>
      </valrng>
      <sumStat type="vald">
        66454
      </sumStat>
      <sumStat type="invd">
        86854
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8000
      </sumStat>
      <sumStat type="mean">
        244.722
      </sumStat>
      <sumStat type="stdev">
        210.153
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes>
        Normally, such items could include firewood, cow dung, vegetables, honey or other forest products.
      </notes>
    </var>
    <var ID="V587" name="B3_q18" files="F16" dcml="0" intrvl="contin">
      <location StartPos="108" EndPos="113" width="6" RecSegNo="1"/>
      <labl>
        Total (items 13 to 17) (Rs.)
      </labl>
      <valrng>
        <range min="40" max="504000"/>
      </valrng>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        40
      </sumStat>
      <sumStat type="max">
        504000
      </sumStat>
      <sumStat type="mean">
        4658.249
      </sumStat>
      <sumStat type="stdev">
        5022.277
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes>
        This will be obtained as the sum of items 14 to 18.
      </notes>
    </var>
    <var ID="V588" name="NSS" files="F16" intrvl="discrete">
      <location StartPos="114" EndPos="115" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V589" name="NSC" files="F16" intrvl="discrete">
      <location StartPos="116" EndPos="118" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V590" name="MLT" files="F16" dcml="0" intrvl="contin">
      <location StartPos="119" EndPos="126" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="50725350"/>
      </valrng>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        50725350
      </sumStat>
      <sumStat type="mean">
        293022.358
      </sumStat>
      <sumStat type="stdev">
        632285.733
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V593" name="Wgt_SubSample" wgt="wgt" files="F16" dcml="2" intrvl="contin">
      <location StartPos="127" EndPos="135" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="507253.5"/>
      </valrng>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        507253.5
      </sumStat>
      <sumStat type="mean">
        2930.224
      </sumStat>
      <sumStat type="stdev">
        6322.857
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V594" name="Wgt_Combined" wgt="wgt" files="F16" dcml="2" intrvl="contin">
      <location StartPos="136" EndPos="144" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="253626.75"/>
      </valrng>
      <sumStat type="vald">
        153308
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        253626.75
      </sumStat>
      <sumStat type="mean">
        1465.112
      </sumStat>
      <sumStat type="stdev">
        3161.429
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V634" name="Person_key" files="F17" 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">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for uniquely identifying  a person within a household by combining HHID (key to identify a household) and serial number of members.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V630" name="HHID" files="F17" intrvl="discrete">
      <location StartPos="12" EndPos="20" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V597" name="Centre_Rnd_SubFolder" files="F17" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V598" name="FSU_srl_no" files="F17" intrvl="discrete">
      <location StartPos="24" EndPos="28" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </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="V599" name="Round" files="F17" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          719491
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V600" name="Sch_no" files="F17" intrvl="discrete">
      <location StartPos="31" EndPos="33" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          719491
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V601" name="Sample" files="F17" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V602" name="Sector" files="F17" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </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">
          474862
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          244629
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V603" name="State_Region" files="F17" intrvl="discrete">
      <location StartPos="36" EndPos="38" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </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="V631" name="State" files="F17" intrvl="discrete">
      <location StartPos="39" EndPos="40" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          12203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          9860
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          16760
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          2100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          6575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          14315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          13059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          34852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          103451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          33555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          5473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          8056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          6635
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          17939
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          9523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          14486
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          10629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          26944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          51185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          15861
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          25934
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          12790
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          42381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          30078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          1799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          1711
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          57010
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          36190
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          28982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          2157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          879
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          25980
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          35549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          2674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          1916
        </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="V604" name="District" files="F17" intrvl="discrete">
      <location StartPos="41" EndPos="42" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V605" name="Stratum" files="F17" intrvl="discrete">
      <location StartPos="43" EndPos="44" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V606" name="Sub_Stratum" files="F17" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        244571
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V607" name="Sub_Round" files="F17" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          180007
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          179905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          180824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          178755
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V608" name="Sub_Sample" files="F17" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </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">
          358755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          360736
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V609" name="FOD_SubRegion" files="F17" intrvl="discrete">
      <location StartPos="49" EndPos="52" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V610" name="HG_SubBlk_No" files="F17" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V611" name="Second_Stratum" files="F17" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V612" name="Hhold_No" files="F17" intrvl="discrete">
      <location StartPos="55" EndPos="56" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V613" name="Level" files="F17" intrvl="discrete">
      <location StartPos="57" EndPos="58" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          719491
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V614" name="B4_q1" files="F17" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        Serial No. of members
      </labl>
      <qstn>
        <qstnLit>
          Serial No. of members
        </qstnLit>
        <ivuInstr><![CDATA[A running serial number will be given in this column for each member of the sample household starting with the head of the household.  The other members will be listed in the usual fashion with the spouse of the head and their children following and the non-relatives at the end. The last serial number should be equal to item1 of Block 3.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V615" name="B4_q3" files="F17" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        Relation
      </labl>
      <qstn>
        <qstnLit>
          What is your relation to head of the household?
        </qstnLit>
        <ivuInstr><![CDATA[The relationship of each of the members to the head of the household will be recorded  in code against the members listed as follows:

Relation to head (codes):

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-relative                                   	...9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Self
        </labl>
        <catStat type="freq">
          153308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse of head
        </labl>
        <catStat type="freq">
          124774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married child
        </labl>
        <catStat type="freq">
          36960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Spouse of married child
        </labl>
        <catStat type="freq">
          37104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unmarried child
        </labl>
        <catStat type="freq">
          263182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchild
        </labl>
        <catStat type="freq">
          60195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Father/mother/father-in-law/mother-in-law
        </labl>
        <catStat type="freq">
          18323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Brother/sister/brother-in-law/sister-in-law/other relatives
        </labl>
        <catStat type="freq">
          24164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Servant/employee/or non-relatives
        </labl>
        <catStat type="freq">
          1481
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V616" name="B4_q4" files="F17" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <qstn>
        <qstnLit>
          Sex of the member
        </qstnLit>
        <ivuInstr>
          The sex of each member is to be recorded in code: 1 for male and 2 for female.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        719490
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          371650
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          347840
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V617" name="B4_q5" files="F17" dcml="0" intrvl="contin">
      <location StartPos="63" EndPos="65" width="3" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          Age of the member
        </qstnLit>
        <ivuInstr><![CDATA[The age in completed years of all the members listed will be ascertained and recorded in column (5).  For infants below one year of age, '0' will be entered in column   (5).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="110"/>
      </valrng>
      <sumStat type="vald">
        719490
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        110
      </sumStat>
      <sumStat type="mean">
        27.711
      </sumStat>
      <sumStat type="stdev">
        18.818
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V618" name="B4_q6" files="F17" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        Marital Status
      </labl>
      <qstn>
        <qstnLit>
          Marital status of the member
        </qstnLit>
        <ivuInstr><![CDATA[The marital status of each member will be recorded in this Column . The codes are: 
                never married - 1, currently married - 2, widowed - 3, divorced/separated - 4.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        719420
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          343848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Currently married
        </labl>
        <catStat type="freq">
          339985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          33252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/separated
        </labl>
        <catStat type="freq">
          2335
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V619" name="B4_q7" files="F17" intrvl="discrete">
      <location StartPos="67" EndPos="68" width="2" RecSegNo="1"/>
      <labl>
        Educational level
      </labl>
      <qstn>
        <qstnLit>
          Education of the member
        </qstnLit>
        <ivuInstr><![CDATA[Education level refers to the highest level successfully completed.  For example, if a person has failed in his B. A. examination, then his level will be merely 'higher secondary'. The education level of each member is to be ascertained carefully before making entry here.  A person is considered literate if he/she can read and write a simple message in any language with understanding. It will be essential to probe in detail whenever it is felt that the educational achievement of the person is not sufficient to accept the response, particularly if the person has not completed the primary level of school education.    

The codes to be given for various levels are as follows : 

not literate	...01	
literate without any schooling:	...02	
literate without formal schooling:		
   through NFEC/ AIEP  	...03	
   through TLC/AEC 	...04	
   others 	...05	
literate with formal schooling including EGS:		
   below primary 	...06	
   primary	...07	
   middle 	...08	
   secondary	...10	
   higher /senior secondary	...11	
   diploma /certificate course	...12	
   graduate 	...13	
   post graduate and above	...14	

A person who can both read and write a simple message with understanding in at least one language is to be considered literate. Those who are not able to do so, are to be considered not literate and would be assigned code 01. Those who acquired this skill without attending any type of schooling would be assigned code 02. Some persons achieve literacy by attending Non-formal Education Courses (NFEC) or Alternative Innovative Education Programme (AIEP). Such persons will be given code 03. Persons, who have become literate through attending Total Literacy Campaign (TLC) or Adult Education Centres (AEC) are to be given code 04. Persons, who are literate through means other than formal schooling and not under above two categories, would be given code 05. Those, who are, by definition, literate through formal schooling, including primary schools created under Education Guarantee Scheme (EGS) but who are yet to pass primary standard examination, would be assigned code 06. Similarly codes 07, 08, and 10 to 14 will be assigned to those who have passed the appropriate levels. The criterion for deciding primary, middle, secondary, etc. levels will be that followed in the concerned states/union territories. Persons who have attained proficiency in Oriental languages (e.g., Sanskrit, Persian, etc.) through formal but not through the general type of education will be classified appropriately at the equivalent level of general education standard. For those who have completed some diploma or certificate course in general or technical education, which is equivalent to below graduation level, code 12 will be assigned. Code 13 will be recorded for those who have obtained degree or diploma or certificate in general or technical education, which is equivalent to graduation level. Similarly, code 14 will be assigned to those who have obtained degree or diploma or certificate in general or technical education, which is equivalent to post-graduation level and above.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        719337
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          not literate
        </labl>
        <catStat type="freq">
          206823
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          literate without any schooling
        </labl>
        <catStat type="freq">
          3293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[literate without formal schooling: through NFEC/AIEP  ]]></labl>
        <catStat type="freq">
          2131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[literate though  TLC/AEC ]]></labl>
        <catStat type="freq">
          688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          2207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          literate with formal schooling including EGS: below primary
        </labl>
        <catStat type="freq">
          119723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          primary
        </labl>
        <catStat type="freq">
          108150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          upper primary/middle
        </labl>
        <catStat type="freq">
          112681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          secondary
        </labl>
        <catStat type="freq">
          72225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          higher /senior secondary
        </labl>
        <catStat type="freq">
          43127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          diploma/certificate course
        </labl>
        <catStat type="freq">
          6263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          graduate
        </labl>
        <catStat type="freq">
          33217
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          postgraduate and above
        </labl>
        <catStat type="freq">
          8809
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V620" name="B4_q8" files="F17" intrvl="discrete">
      <location StartPos="69" EndPos="70" width="2" RecSegNo="1"/>
      <labl>
        Usual principal status
      </labl>
      <qstn>
        <qstnLit>
          What is the usual principal activity status of the member?
        </qstnLit>
        <ivuInstr><![CDATA[The usual principal activity status code of the member is to be recorded here. The codes are as follows:
worked in h.h. enterprise (self-employed): 
	own account worker -11 , 
	employer -12, 
worked as helper in h.h. enterprise (unpaid family worker) -21, 
worked as regular salaried/ wage employee -31,
 worked as casual wage labour: 
	in public works -41,
worked as casual wage labour: 
	in other types of  work -51, 
did not work but was seeking and/or available for work -81, 
attended educational institution -91, 
attended domestic duties only -92, 
attended domestic duties and was also engaged in free collection of goods  (vegetables, roots, firewood, cattle feed, etc.), sewing, tailoring, weaving, etc. for household use  -93, 
rentiers, pensioners , remittance recipients, etc -94, 
not able to work due to disability -95, 
others (including begging, prostitution,  etc.) -97.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        719173
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The usual activity status relates to the activity status of a person during the reference period of 365 days preceding the date of survey.  The activity status on which a person spent relatively longer time (major time criterion) during the 365 days preceding the date of survey is considered the principal usual activity status of the person.]]></txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an own account worker    ]]></labl>
        <catStat type="freq">
          89518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an employer    ]]></labl>
        <catStat type="freq">
          3362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as  ‘helper’ (unpaid family worker)                                   ]]></labl>
        <catStat type="freq">
          50575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[worked as regular salaried/wage employee     ]]></labl>
        <catStat type="freq">
          49759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl><![CDATA[worked as casual wage labour in public works                                                            ]]></labl>
        <catStat type="freq">
          1065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl><![CDATA[casual wage labour in other types of works                                                                ]]></labl>
        <catStat type="freq">
          67002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          seeking work and available for work
        </labl>
        <catStat type="freq">
          9219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl><![CDATA[attended educational institution                                                                                  ]]></labl>
        <catStat type="freq">
          194946
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl><![CDATA[attended domestic duties only                                                                                    ]]></labl>
        <catStat type="freq">
          110510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl><![CDATA[attended domestic duties and was also engaged in free collection of goods, tailoring, weaving, etc. for household use    ]]></labl>
        <catStat type="freq">
          42534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl><![CDATA[recipients of rent, pension, remittance, etc.                                    ]]></labl>
        <catStat type="freq">
          10146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl><![CDATA[not able to work due to disability                                                                        ]]></labl>
        <catStat type="freq">
          5088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl><![CDATA[others (including begging, prostitution,  etc.)                                                                                                                    ]]></labl>
        <catStat type="freq">
          85449
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V621" name="B4_q9" files="F17" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        NIC-2004 code (2-digit)
      </labl>
      <qstn>
        <qstnLit>
          Which industry are you working in?
        </qstnLit>
        <ivuInstr><![CDATA[If the member is employed (i.e. usual principal activity status code is any one of 11 to 51 in Column 8) then his/her 2-digit NIC code according to NIC-2004 is to be recorded.  If the member is engaged in non-economic activities, then  a dash(-) may be put against this item.

Note: The Industry Divisions 96 and 97 of NIC-2004 will not be used for the purpose of collection of information on industry of activity. The entire range of activities described under Division 97 is outside the production boundary of the Indian System of National Accounts (ISNA) and is not considered as economic activity in the NSS survey. A part of the activities under Division 96 (viz., hunting and gathering, farming and the production of shelter), which is within the production boundary of ISNA, is also considered as economic activity in NSS surveys and the industry in case of such undifferentiated activities will be determined in the usual manner as is done now, by considering the industry in which major time is spent. Thus, these activities will get classified against the respective industries under Divisions 01-14 relating to the primary sector or Division 45 relating to construction. The rest of Division 96 is outside the production boundary of ISNA and will not be considered as economic activity for the NSS survey.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        260859
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          128896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Fishing, aquaculture and service activities incidental to fishing
        </labl>
        <catStat type="freq">
          1128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas; service activities incidental to oil and gas extraction, excluding surveying
        </labl>
        <catStat type="freq">
          317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          2775
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          1702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          5189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          3548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness and footwear
        </labl>
        <catStat type="freq">
          515
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials
        </labl>
        <catStat type="freq">
          1929
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
        <catStat type="freq">
          566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear fuel
        </labl>
        <catStat type="freq">
          86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          1046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          2121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          785
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery and equipment
        </labl>
        <catStat type="freq">
          1487
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          953
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment and apparatus
        </labl>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, watches and clocks
        </labl>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
        <catStat type="freq">
          479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          2651
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          823
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          19459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          "Sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          1572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicles and motorcycles
        </labl>
        <catStat type="freq">
          3614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repair of personal and household goods
        </labl>
        <catStat type="freq">
          24508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          3857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          10283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of travel agencies
        </labl>
        <catStat type="freq">
          599
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          1187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension funding
        </labl>
        <catStat type="freq">
          1490
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social security
        </labl>
        <catStat type="freq">
          525
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          430
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of personal and household goods
        </labl>
        <catStat type="freq">
          300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          874
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          1977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defence; compulsory social security
        </labl>
        <catStat type="freq">
          9315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          9260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          2667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activities
        </labl>
        <catStat type="freq">
          325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          2895
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Activities of private households as employers of domestic staff
        </labl>
        <catStat type="freq">
          1835
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Undifferentiated goods-producing activities of private households for own use
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Undifferentiated service-producing activities of private households for own use
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V622" name="B4_q10" files="F17" intrvl="discrete">
      <location StartPos="73" EndPos="73" width="1" RecSegNo="1"/>
      <labl>
        NCO-2004 code (1-digit)
      </labl>
      <qstn>
        <qstnLit>
          Which occupation are you in?
        </qstnLit>
        <ivuInstr><![CDATA[If the member is employed (i.e. usual principal activity status code is any one of 11 to 51 in Column 8) then his/her NCO according to NCO-2004 is to be recorded at 1-digit level. 

The codes are 
Legislators, senior officials and managers	-1          Skilled agricultural and fishery workers	-6	
Professionals	-2	Craft and related trades workers	-7	
Associate professionals	-3	Plant and machine operators and assemblers	-8	
Clerks	-4	Elementary occupations	-9	
Service workers and shop & market sales workers	-5			

If the member is engaged in non-economic activities, then a dash (-) may be put against this item.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        260502
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          14940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          professionals
        </labl>
        <catStat type="freq">
          13971
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          associate professionals
        </labl>
        <catStat type="freq">
          10294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          clerks
        </labl>
        <catStat type="freq">
          6839
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          service workers and shop &amp; market sales workers
        </labl>
        <catStat type="freq">
          23069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          90170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          craft and related trades workers
        </labl>
        <catStat type="freq">
          24647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          10234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          elementary occupations
        </labl>
        <catStat type="freq">
          66338
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V623" name="B4_q11" files="F17" dcml="0" intrvl="contin">
      <location StartPos="74" EndPos="76" width="3" RecSegNo="1"/>
      <labl>
        No. of overnight trips- last 365 days
      </labl>
      <qstn>
        <qstnLit>
          How many overnight trips have been undertaken by the member during last 365 days?
        </qstnLit>
        <ivuInstr><![CDATA[Number of overnight trips made by the member which ended in the last 365 days including those ending in the last 30 days is to be recorded here. In case no overnight trip ending in the last 365 days has been performed by the member, a dash (-) may be put against this item.            

Note: The sum total of overnight trips for all the members in Column 11 should be greater than or equal to the entry in item 7.2 of Block 3.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="100"/>
      </valrng>
      <sumStat type="vald">
        550787
      </sumStat>
      <sumStat type="invd">
        168704
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        100
      </sumStat>
      <sumStat type="mean">
        2.767
      </sumStat>
      <sumStat type="stdev">
        2.149
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V624" name="B4_q12" files="F17" dcml="0" intrvl="contin">
      <location StartPos="77" EndPos="78" width="2" RecSegNo="1"/>
      <labl>
        No. of overnight trips- last 30 days
      </labl>
      <qstn>
        <qstnLit>
          How many overnight trips have been undertaken by the member during last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Number of overnight trips made by the member which ended in the last 30 days is to be recorded. In case no overnight trip ending in the last 30 days has been performed by the member, a dash (-) may be put against this item. If there is positive entry in column 12 there must be corresponding positive entry in column 11 also and the figure in column 11 should be greater than or equal to the corresponding figure in Column 12 of this block.

Note: The sum total of overnight trips for all the members in Column 12 should be greater than or equal to the entry in item 7.1 of Block 3.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="14"/>
      </valrng>
      <sumStat type="vald">
        171966
      </sumStat>
      <sumStat type="invd">
        547525
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        14
      </sumStat>
      <sumStat type="mean">
        1.035
      </sumStat>
      <sumStat type="stdev">
        0.292
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V625" name="B4_q13" files="F17" dcml="0" intrvl="contin">
      <location StartPos="79" EndPos="81" width="3" RecSegNo="1"/>
      <labl>
        No. of same day trips - last 365 days
      </labl>
      <qstn>
        <qstnLit>
          How many same-day trips have been undertaken by the member during last 365 days?
        </qstnLit>
        <ivuInstr><![CDATA[Number of same-day trips made by the member in the last 365 days including the last 30 days is to be recorded here. In case no same-day trip has been performed by the member during last 365 days, a dash (-) may be put against this item.

Note: The sum total of same-day trips for all the members in Column 13 should be greater than or equal to the entry in item 8.2 of Block 3.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="365"/>
      </valrng>
      <sumStat type="vald">
        527882
      </sumStat>
      <sumStat type="invd">
        191609
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        365
      </sumStat>
      <sumStat type="mean">
        4.248
      </sumStat>
      <sumStat type="stdev">
        4.443
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V626" name="B4_q14" files="F17" dcml="0" intrvl="contin">
      <location StartPos="82" EndPos="83" width="2" RecSegNo="1"/>
      <labl>
        No. of same day trips - last 30 days
      </labl>
      <qstn>
        <qstnLit>
          How many same-day trips have been undertaken by the member during last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Number of same-day trips made by the member in the last 30 days is to be recorded. In case no same-day trip has been performed by the member during last 30 days, a dash (-) may be put against this item. If there is positive entry in column 14 there must be corresponding positive entry in column 13 also and the figure should be greater than or equal to the corresponding figure in Column 14 of this block. 

Note: The sum total of same-day trips for all the members in Column 14 should be greater than or equal to the entry in item 8.1 of Block 3.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="30"/>
      </valrng>
      <sumStat type="vald">
        130657
      </sumStat>
      <sumStat type="invd">
        588834
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30
      </sumStat>
      <sumStat type="mean">
        1.203
      </sumStat>
      <sumStat type="stdev">
        0.71
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V627" name="NSS" files="F17" intrvl="discrete">
      <location StartPos="84" EndPos="85" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V628" name="NSC" files="F17" intrvl="discrete">
      <location StartPos="86" EndPos="88" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V629" name="MLT" files="F17" dcml="0" intrvl="contin">
      <location StartPos="89" EndPos="96" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="50725350"/>
      </valrng>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        50725350
      </sumStat>
      <sumStat type="mean">
        281458.671
      </sumStat>
      <sumStat type="stdev">
        594627.853
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V632" name="Wgt_SubSample" wgt="wgt" files="F17" dcml="2" intrvl="contin">
      <location StartPos="97" EndPos="105" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="507253.5"/>
      </valrng>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        507253.5
      </sumStat>
      <sumStat type="mean">
        2814.587
      </sumStat>
      <sumStat type="stdev">
        5946.279
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V633" name="Wgt_Combined" wgt="wgt" files="F17" dcml="2" intrvl="contin">
      <location StartPos="106" EndPos="114" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="253626.75"/>
      </valrng>
      <sumStat type="vald">
        719491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        253626.75
      </sumStat>
      <sumStat type="mean">
        1407.293
      </sumStat>
      <sumStat type="stdev">
        2973.139
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V158" name="HHID" files="F4" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V121" name="Centre_Rnd_SubFolder" files="F4" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V122" name="FSU_srl_no" files="F4" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </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="V123" name="Round" files="F4" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          178042
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V124" name="Sch_no" files="F4" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          178042
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V125" name="Sample" files="F4" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V126" name="Sector" files="F4" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </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">
          109827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          68215
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V127" name="State_Region" files="F4" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </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="V159" name="State" files="F4" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          2433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          2962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          4390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          794
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          1541
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          4071
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          7986
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          21361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          6565
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          2203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          4036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          5150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          14294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          3580
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          6112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          2909
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          9967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          7868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          16073
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          12632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          8308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          9413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          11742
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          554
        </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="V128" name="District" files="F4" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V129" name="Stratum" files="F4" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V130" name="Sub_Stratum" files="F4" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V131" name="Sub_Round" files="F4" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          43707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          44152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          43431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          46752
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V132" name="Sub_Sample" files="F4" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </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">
          89233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          88809
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V133" name="FOD_SubRegion" files="F4" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V134" name="HG_SubBlk_No" files="F4" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V135" name="Second_Stratum" files="F4" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V136" name="Hhold_No" files="F4" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V137" name="Level" files="F4" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          178042
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V138" name="B5_1_q1" files="F4" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no. of the trip
      </labl>
      <qstn>
        <qstnLit>
          Serial no. of the trip
        </qstnLit>
        <ivuInstr>
          A running serial number will be given in this column for each overnight trip undertaken by any of the household members during last 30 days. Trips should be serialised commencing from the latest completed trip. Thus the trip completed last is to be given serial number 1, the trip completed just before trip 1 is to be given serial number 2 and so on.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Ordering the trips commencing from the latest completed trip.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V139" name="B5_1_q2" files="F4" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        No. of household members in the trip
      </labl>
      <qstn>
        <qstnLit>
          How many household members participated in the trip?
        </qstnLit>
        <ivuInstr>
          The total number of household members who participated in the trip is to be recorded here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="19"/>
      </valrng>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V140" name="B5_1_q3" files="F4" intrvl="discrete">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        Serial no. of household members in the trip
      </labl>
      <qstn>
        <qstnLit>
          Serial no. of household members who were in the trip
        </qstnLit>
        <ivuInstr>
          Here the serial number of each household member who took part in that trip is to be recorded. This number is to be recorded as in Block 4. Different rows are to be used for different members.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V141" name="B5_1_q4" files="F4" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="56" width="3" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          Age of the member participating in trip
        </qstnLit>
        <ivuInstr>
          Here the age of each household member who took part in the trip is to be recorded. This age is to be recorded as in column 5, Block 4. Different rows are to be used for different members.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="100"/>
      </valrng>
      <sumStat type="vald">
        178041
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        100
      </sumStat>
      <sumStat type="mean">
        30.112
      </sumStat>
      <sumStat type="stdev">
        17.946
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V142" name="B5_1_q5" files="F4" intrvl="discrete">
      <location StartPos="57" EndPos="57" width="1" RecSegNo="1"/>
      <labl>
        Purpose of the trip
      </labl>
      <qstn>
        <qstnLit>
          Purpose of the trip for the member
        </qstnLit>
        <ivuInstr><![CDATA[In a particular trip different members might have undertaken the trip because of different purposes. Suppose the household member gives the purpose of a trip as 'business'. To ascertain the purpose, the household member may be asked - “Would you have undertaken the trip if no business was needed to be done?” The purpose would be taken as 'business' only if the answer is 'no'. In this way the purpose of each individual member who undertook the trip is to be recorded here. 

The codes are -

Business	-1	Education & training 	-5	
Holidaying, leisure and recreation	-2	Health & medical 	-6	
Social (including visiting friends and relatives, attending marriages, etc.)	-3	Shopping 	-7	
Pilgrimage & religious activities	-4	Others 	-9	

Note: There may be exceptional situations where no one purpose can be identified as the unique purpose. In such a case, the purpose will be identified as that purpose which the informant considers to be the most important for the trip member.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        177931
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Leading purpose of trip as a whole is that purpose without which none of the members in that trip would have undertaken the trip.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          business
        </labl>
        <catStat type="freq">
          4078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          holidaying, leisure and recreation
        </labl>
        <catStat type="freq">
          5825
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          social (including visiting friends and relatives, attending marriages, etc.)
        </labl>
        <catStat type="freq">
          130556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          pilgrimage &amp; religious activities
        </labl>
        <catStat type="freq">
          18458
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          education &amp; training
        </labl>
        <catStat type="freq">
          1555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          health &amp; medical
        </labl>
        <catStat type="freq">
          11477
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          shopping
        </labl>
        <catStat type="freq">
          919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          5063
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V143" name="B5_1_q6" files="F4" intrvl="discrete">
      <location StartPos="58" EndPos="58" width="1" RecSegNo="1"/>
      <labl>
        Type of trip
      </labl>
      <qstn>
        <qstnLit>
          Type of trip
        </qstnLit>
        <ivuInstr><![CDATA[A package is a combination of transport and any one or more chargeable travel services (e.g., accommodation, meals/food, entertainment and/or sightseeing, etc.) and sold by tour operators through travel agencies or directly to final consumers as a single product for a single price. The components of a package tour might be pre-established or tailor-made, in which case, the visitor chooses a combination of services he/she wishes to acquire from a pre-established list of such services. If such a package is availed of for a major part of time in a trip, such a trip should be considered as a package trip. Note that, travelling by say, a hired video coach, for sightseeing where expenditure on food and entry tickets to sightseeing spots are borne separately by the visitors should not be taken as a package. If the expenditure on transport and one or more chargeable travel services availed for some time during the  trip does not cover the whole trip but covers only a minor time of the duration of the trip then such a trip should not be considered as package trip although the trip has a package component. Therefore, a trip which is not a package trip may have both package and non-package components. Similarly, a package trip may also contain non-package component in addition to its package component, e.g., a visitor may avail himself of accommodation and other services in the package through some tour operator but make some special sight-seeing arrangements in some places of visit in the trip on his own. If a trip is a package trip then code '1' should be given, otherwise code '2' should be recorded. It may be noted here that a package trip must have a package component but not vice versa.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        178041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          package
        </labl>
        <catStat type="freq">
          1501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          non-package
        </labl>
        <catStat type="freq">
          176540
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V144" name="B5_1_q7" files="F4" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        Mode of travel- major
      </labl>
      <qstn>
        <qstnLit>
          Mode of travel- major
        </qstnLit>
        <ivuInstr><![CDATA[Mode of travel  refers to means of transport used by visitor(s) to travel in a trip. The travel relevant here is the travelling done to cover the distances to the destinations and not joyrides or movement for adventure, as in skiing or boating for pleasure, or walking inside a museum, fort or maze. Visitor(s) may be using one or more means of transport in a trip The admissible codes  are: on foot-01, bus-02, train(railways)-03, ship/boat-04, air-05, own transport: bicycle-06, two-wheeler-07, rickshaw-08, auto rickshaw-10, car/jeep-11, tractor/truck-12, animal driven transport-13,  transport equipment rental (hired transport): bicycle-14, two-wheeler-15, rickshaw-16, auto rickshaw-17, car/jeep-18, tractor/truck-20, animal driven transport-21, others -29]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        178029
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          on foot
        </labl>
        <catStat type="freq">
          2754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          bus
        </labl>
        <catStat type="freq">
          112056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          train (railways)
        </labl>
        <catStat type="freq">
          28218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          ship/boat
        </labl>
        <catStat type="freq">
          650
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          air
        </labl>
        <catStat type="freq">
          496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          own transport: bicycle
        </labl>
        <catStat type="freq">
          3140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          own transport: two-wheeler
        </labl>
        <catStat type="freq">
          5438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          own transport: rickshaw
        </labl>
        <catStat type="freq">
          145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          own transport: auto rickshaw
        </labl>
        <catStat type="freq">
          922
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          own transport: car/jeep
        </labl>
        <catStat type="freq">
          6465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          own transport: tractor/truck
        </labl>
        <catStat type="freq">
          430
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          own transport: animal driven transport
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[transport equipment rental(hired transport):  bicycle]]></labl>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          transport equipment rental(hired transport): two-wheeler
        </labl>
        <catStat type="freq">
          186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          transport equipment rental(hired transport): rickshaw
        </labl>
        <catStat type="freq">
          625
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          transport equipment rental(hired transport): auto rickshaw
        </labl>
        <catStat type="freq">
          4590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          transport equipment rental(hired transport): car/jeep
        </labl>
        <catStat type="freq">
          10027
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          transport equipment rental(hired transport): tractor/truck
        </labl>
        <catStat type="freq">
          727
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          transport equipment rental(hired transport): animal driven transport
        </labl>
        <catStat type="freq">
          180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          811
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V145" name="B5_1_q8" files="F4" intrvl="discrete">
      <location StartPos="61" EndPos="62" width="2" RecSegNo="1"/>
      <labl>
        Mode of travel- minor
      </labl>
      <qstn>
        <qstnLit>
          Mode of travel- minor
        </qstnLit>
        <ivuInstr><![CDATA[Mode of travel  refers to means of transport used by visitor(s) to travel in a trip. The travel relevant here is the travelling done to cover the distances to the destinations and not joyrides or movement for adventure, as in skiing or boating for pleasure, or walking inside a museum, fort or maze. Visitor(s) may be using one or more means of transport in a trip The admissible codes  are: on foot-01, bus-02, train(railways)-03, ship/boat-04, air-05, own transport: bicycle-06, two-wheeler-07, rickshaw-08, auto rickshaw-10, car/jeep-11, tractor/truck-12, animal driven transport-13,  transport equipment rental (hired transport): bicycle-14, two-wheeler-15, rickshaw-16, auto rickshaw-17, car/jeep-18, tractor/truck-20, animal driven transport-21, others -29]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        125164
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          on foot
        </labl>
        <catStat type="freq">
          53845
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          bus
        </labl>
        <catStat type="freq">
          14704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          train (railways)
        </labl>
        <catStat type="freq">
          1537
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          ship/boat
        </labl>
        <catStat type="freq">
          557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          air
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          own transport: bicycle
        </labl>
        <catStat type="freq">
          757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          own transport: two-wheeler
        </labl>
        <catStat type="freq">
          745
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          own transport: rickshaw
        </labl>
        <catStat type="freq">
          2629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          own transport: auto rickshaw
        </labl>
        <catStat type="freq">
          4062
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          own transport: car/jeep
        </labl>
        <catStat type="freq">
          1006
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          own transport: tractor/truck
        </labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          own transport: animal driven transport
        </labl>
        <catStat type="freq">
          197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[transport equipment rental(hired transport):  bicycle]]></labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          transport equipment rental(hired transport): two-wheeler
        </labl>
        <catStat type="freq">
          210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          transport equipment rental(hired transport): rickshaw
        </labl>
        <catStat type="freq">
          9535
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          transport equipment rental(hired transport): auto rickshaw
        </labl>
        <catStat type="freq">
          26629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          transport equipment rental(hired transport): car/jeep
        </labl>
        <catStat type="freq">
          3627
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          transport equipment rental(hired transport): tractor/truck
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          transport equipment rental(hired transport): animal driven transport
        </labl>
        <catStat type="freq">
          1031
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          3876
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V146" name="B5_1_q9" files="F4" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        Type of stay- major
      </labl>
      <qstn>
        <qstnLit>
          Type of stay- major
        </qstnLit>
        <ivuInstr><![CDATA[Accommodation refers to the space, usually for paid lodging, where the visitor(s) spent some considerable time for spending night, taking rest, spending some leisure time, refreshing oneself, etc. during the trip. The admissible codes are: hotel-1, private guest house-2, Govt. guest house -3, dharamshala-4, rented house-5, friends & relatives-6, others including carriages / coaches -9.

The place where the highest number of nights was spent will be treated as 'major' type of stay and the corresponding code will be recorded in this column. In case more than one such place was there (e.g. hotel, Dharmashala) where same no. of nights was spent then entry to be recorded for that type which was more expensive.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        177947
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The type of stay refers to the accommodation used for stay by visitor(s) in a trip.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          hotel
        </labl>
        <catStat type="freq">
          6607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          private guest house
        </labl>
        <catStat type="freq">
          1851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Govt. guest house
        </labl>
        <catStat type="freq">
          1013
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          dharamshala
        </labl>
        <catStat type="freq">
          6760
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          rented house
        </labl>
        <catStat type="freq">
          744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          friends &amp; relatives
        </labl>
        <catStat type="freq">
          144705
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl><![CDATA[others including  carriages / coaches ]]></labl>
        <catStat type="freq">
          16267
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V147" name="B5_1_q10" files="F4" intrvl="discrete">
      <location StartPos="64" EndPos="64" width="1" RecSegNo="1"/>
      <labl>
        Type of stay- minor
      </labl>
      <qstn>
        <qstnLit>
          Type of stay- minor
        </qstnLit>
        <ivuInstr><![CDATA[Accommodation refers to the space, usually for paid lodging, where the visitor(s) spent some considerable time for spending night, taking rest, spending some leisure time, refreshing oneself, etc. during the trip. The admissible codes are: hotel-1, private guest house-2, Govt. guest house -3, dharamshala-4, rented house-5, friends & relatives-6, others including carriages / coaches -9.

The place where second highest number of nights was spent will be treated as 'minor' type of stay and the corresponding code will be recorded in this column.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        23
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The type of stay refers to the accommodation used for stay by visitor(s) in a trip.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          hotel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          private guest house
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Govt. guest house
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          dharamshala
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          rented house
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          friends &amp; relatives
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl><![CDATA[others including  carriages / coaches ]]></labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V148" name="B5_1_q11" files="F4" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="67" width="3" RecSegNo="1"/>
      <labl>
        No. of nights spent outside usual place of residence
      </labl>
      <qstn>
        <qstnLit>
          No. of nights spent outside usual place of residence (including journey)
        </qstnLit>
        <ivuInstr>
          The number of nights spent by the visitor outside his/her usual place of residence from starting of the trip to the completion of the trip, including the nights spent in transit, is to be recorded here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="165"/>
      </valrng>
      <sumStat type="vald">
        178041
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        165
      </sumStat>
      <sumStat type="mean">
        3.479
      </sumStat>
      <sumStat type="stdev">
        5.052
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V149" name="B5_1_q12" files="F4" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Leading purpose for the trip
      </labl>
      <qstn>
        <qstnLit>
          Leading purpose for all the members performing the trip
        </qstnLit>
        <ivuInstr>
          Leading purpose of trip as a whole is that purpose without which none of the members in that trip would have undertaken the trip. This must be one of the purposes mentioned in Column 5 for a particular trip. Clearly, the leading purpose of a trip will be the same for all the members who undertook that trip. There may be exceptional situations where no one purpose can be identified as the leading purpose. For example, there could be two or more purposes, say, pilgrimage and health, recorded for different trip members. In such a case, the leading purpose will be identified as that purpose which the informant considers to be the most important for different trip members. The code structure is the same as for Column 5.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        177931
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          business
        </labl>
        <catStat type="freq">
          4078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          holidaying, leisure and recreation
        </labl>
        <catStat type="freq">
          5824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          social (including visiting friends and relatives, attending marriages, etc.)
        </labl>
        <catStat type="freq">
          130578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          pilgrimage &amp; religious activities
        </labl>
        <catStat type="freq">
          18458
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          education &amp; training
        </labl>
        <catStat type="freq">
          1557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          health &amp; medical
        </labl>
        <catStat type="freq">
          11541
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          shopping
        </labl>
        <catStat type="freq">
          919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          4976
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V150" name="B5_1_q13" files="F4" intrvl="discrete">
      <location StartPos="69" EndPos="70" width="2" RecSegNo="1"/>
      <labl>
        Starting month
      </labl>
      <qstn>
        <qstnLit>
          Starting month
        </qstnLit>
        <ivuInstr><![CDATA[The month of starting the trip is to be recorded against this item. It may sometimes happen that many members of a household are traveling together on a trip. In some cases, one member (or more) among those who go on a trip may start later than the rest, or return earlier, due to other engagements. 
(a) If both the starting date and the returning date for this member are different from that of the rest of the members, then this member will be considered to have undertaken a different trip from the rest.
(b) If at least one of the two dates - the starting date (Ds) and the returning date (Dr) - is the same for this member as for the rest of the members, and the other date, too, does not differ from that of the rest of the members by more than 3 days, then such a member may be considered to have gone on the same trip as the rest of the members.
In these cases the earliest starting date will be considered for determining the starting month.

The applicable codes are- 
                         January	-01,          	Februray	-02,                   	March		-03, 
                         April	-04,              	May		-05,                      	June		-06, 
                         July	-07,               	August		-08,                      	September	-09, 
                         October	-10,        	 	November	-11,                 	December	-12]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        177546
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          January
        </labl>
        <catStat type="freq">
          14865
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          February
        </labl>
        <catStat type="freq">
          14344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          March
        </labl>
        <catStat type="freq">
          13195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          April
        </labl>
        <catStat type="freq">
          16789
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          18917
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          7488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          13195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          August
        </labl>
        <catStat type="freq">
          18530
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          September
        </labl>
        <catStat type="freq">
          12957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
        <catStat type="freq">
          16573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
        <catStat type="freq">
          15644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
        <catStat type="freq">
          15049
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V151" name="B5_1_q14" files="F4" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        Ending month
      </labl>
      <qstn>
        <qstnLit>
          Ending month
        </qstnLit>
        <ivuInstr>
          The month of completing the trip is to be recorded against this item. In a similar situation of a multiple-member trip as that mentioned in the previous paragraph, the latest ending date will be considered for determining the ending month. The applicable codes are - January-01, Februray-02, March-03, April-04, May-05, June-06, July-07, August-08, September-09, October-10, November-11, December-12.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        177862
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          January
        </labl>
        <catStat type="freq">
          15226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          February
        </labl>
        <catStat type="freq">
          14350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          March
        </labl>
        <catStat type="freq">
          13117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          April
        </labl>
        <catStat type="freq">
          16208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          19395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          8204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          12739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          August
        </labl>
        <catStat type="freq">
          18029
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          September
        </labl>
        <catStat type="freq">
          13605
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
        <catStat type="freq">
          15719
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
        <catStat type="freq">
          16124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
        <catStat type="freq">
          15146
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V152" name="B5_1_q15" files="F4" intrvl="discrete">
      <location StartPos="73" EndPos="73" width="1" RecSegNo="1"/>
      <labl>
        Main destination
      </labl>
      <qstn>
        <qstnLit>
          Main destination
        </qstnLit>
        <ivuInstr><![CDATA[If visiting a certain place is central to the decision to undertake the trip, then that place will be termed the main destination of the trip. However, if no such place can be identified by the informant, the main destination is to be taken as the place where the members spent most of their time during the trip. If the visitors spent the same amount of time in two or more places during the trip, then the main destination is that one among these places which is the farthest from the usual place residence of the visitor. Obviously, the main destination of a trip will be the same for all the members who undertook that trip. The codes are - 
destination within the district: 1, 
destination outside the district but within the State: 2,
destination outside the State but within the country: 3]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        177764
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          destination within the district
        </labl>
        <catStat type="freq">
          88099
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          destination outside the district but within the state
        </labl>
        <catStat type="freq">
          63307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          destination outside the state but within the country
        </labl>
        <catStat type="freq">
          26358
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V153" name="B5_1_q16" files="F4" intrvl="discrete">
      <location StartPos="74" EndPos="75" width="2" RecSegNo="1"/>
      <labl>
        State code
      </labl>
      <qstn>
        <qstnLit>
          Main destination - state
        </qstnLit>
        <ivuInstr><![CDATA[If code '3' in column 15 then State code: If the main destination of a particular trip is outside the State of origin (i.e. the State in which the household is located) then the State of the main destination is to be recorded. Once the main destination is uniquely identified, its State code is to be entered in this column. The code structure is as follows-
Andhra Pradesh	….28	Karnataka	….29	Tamil Nadu	….33	
Arunachal Pradesh	….12	Kerala	….32	Tripura	….16	
Assam	….18	Madhya Pradesh	….23	Uttaranchal	….05	
Bihar	….10	Maharashtra	….27	Uttar Pradesh	….09	
Chhattisgarh	….22	Manipur	….14	West Bengal	….19	
Delhi	….07	Megahlaya	….17	A & N Islands	….35	
Goa	….30	Mizoram	….15	Chandigarh	….04	
Gujarat	….24	Nagaland	….13	Dadra & Nagar Haveli	….26	
Haryana	….06	Orissa	….21	Daman & Diu	….25	
Himachal Pradesh	….02	Punjab	….03	Lakshadweep	….31	
Jammu & Kashmir	….01	Rajasthan	….08	Pondicherry	….34	
Jharkhand	….20	Sikkim	….11]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        26378
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          725
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          1104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          828
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          1780
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          3188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          1569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          826
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          529
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          1059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          1748
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          1462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          1509
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          855
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          2389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V154" name="B5_1_q17" files="F4" dcml="0" intrvl="contin">
      <location StartPos="76" EndPos="77" width="2" RecSegNo="1"/>
      <labl>
        No. of places visited during the trip
      </labl>
      <qstn>
        <qstnLit>
          No. of places visited during the trip
        </qstnLit>
        <ivuInstr>
          The term visit refers to the stay (overnight or same-day) in a place visited during a trip. The stay need not be overnight to qualify as a visit. Nevertheless, the notion of stay supposes that there is a stop for a purpose of trip. Entering a geographical area without stopping there for a purpose or stopping for taking food during transit is not to be considered as a visit to that place. The 'main destination' must also be counted as a place of visit. If two or more places are reported to have been visited which are in the same town or in the same village, they should be counted once only. The total number of all places visited (including the main destination) in the trip is to be recorded here. Thus, the entry should be 1 or more.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="60"/>
      </valrng>
      <sumStat type="vald">
        177700
      </sumStat>
      <sumStat type="invd">
        342
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        1.153
      </sumStat>
      <sumStat type="stdev">
        0.817
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V155" name="NSS" files="F4" intrvl="discrete">
      <location StartPos="78" EndPos="79" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V156" name="NSC" files="F4" intrvl="discrete">
      <location StartPos="80" EndPos="82" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V157" name="MLT" files="F4" dcml="0" intrvl="contin">
      <location StartPos="83" EndPos="90" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="15967600"/>
      </valrng>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        15967600
      </sumStat>
      <sumStat type="mean">
        123925.764
      </sumStat>
      <sumStat type="stdev">
        254455.235
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V160" name="Wgt_SubSample" wgt="wgt" files="F4" dcml="2" intrvl="contin">
      <location StartPos="91" EndPos="99" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="159676"/>
      </valrng>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        159676
      </sumStat>
      <sumStat type="mean">
        1239.258
      </sumStat>
      <sumStat type="stdev">
        2544.552
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V161" name="Wgt_Combined" wgt="wgt" files="F4" dcml="2" intrvl="contin">
      <location StartPos="100" EndPos="107" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="79838"/>
      </valrng>
      <sumStat type="vald">
        178042
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        79838
      </sumStat>
      <sumStat type="mean">
        619.629
      </sumStat>
      <sumStat type="stdev">
        1272.276
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V196" name="HHID" files="F5" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V162" name="Centre_Rnd_SubFolder" files="F5" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V163" name="FSU_srl_no" files="F5" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </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="V164" name="Round" files="F5" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          157123
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V165" name="Sch_no" files="F5" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          157123
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V166" name="Sample" files="F5" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V167" name="Sector" files="F5" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </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">
          112421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          44702
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V168" name="State_Region" files="F5" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </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="V197" name="State" files="F5" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          2893
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          3405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          4003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          1028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          2253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          5962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          16005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          4950
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          2135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          2025
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          5121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          12892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          2562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          7323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          2314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          8318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          5819
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          474
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          10845
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          9690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          6491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          16711
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          11178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          754
        </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="V169" name="District" files="F5" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V170" name="Stratum" files="F5" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V171" name="Sub_Stratum" files="F5" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        44685
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V172" name="Sub_Round" files="F5" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          43721
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          39906
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          37464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          36032
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V173" name="Sub_Sample" files="F5" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </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">
          78598
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          78525
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V174" name="FOD_SubRegion" files="F5" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V175" name="HG_SubBlk_No" files="F5" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V176" name="Second_Stratum" files="F5" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V177" name="Hhold_No" files="F5" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V178" name="Level" files="F5" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          05
        </catValu>
        <catStat type="freq">
          157123
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V179" name="B5_2_q1" files="F5" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no. of the trip
      </labl>
      <qstn>
        <qstnLit>
          Serial no. of the trip
        </qstnLit>
        <ivuInstr>
          A running serial number will be given in this column for each same-day trip undertaken by any of the household members during last 30 days. As in Block 5.1, trips should be serialised commencing from the latest completed trip.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Ordering the trips commencing from the latest completed trip.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V543" name="B5_2_q2" files="F5" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        No. of household members in the trip
      </labl>
      <qstn>
        <qstnLit>
          How many household members participated in the trip?
        </qstnLit>
        <ivuInstr>
          Total number of household members who participated in the trip is to be recorded here.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V181" name="B5_2_q3" files="F5" intrvl="discrete">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        Serial no. of household members in the trip
      </labl>
      <qstn>
        <qstnLit>
          Serial no. of household members who were in the trip
        </qstnLit>
        <ivuInstr>
          Here the serial number of each household member who took part in that trip is to be recorded. This number is to be recorded as in Block 4. Different rows are to be used for different members.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V544" name="B5_2_q4" files="F5" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="56" width="3" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          Age of the member participating in trip
        </qstnLit>
        <ivuInstr>
          Here the age of each household member who took part in the trip is to be recorded. This age is to be recorded as in column 5, Block 4. Different rows are to be used for different members.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        157122
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V183" name="B5_2_q5" files="F5" intrvl="discrete">
      <location StartPos="57" EndPos="57" width="1" RecSegNo="1"/>
      <labl>
        Purpose of the trip
      </labl>
      <qstn>
        <qstnLit>
          Purpose of the trip for the member
        </qstnLit>
        <ivuInstr><![CDATA[In a particular trip different members might have undertaken the trip because of different purposes. Suppose the household member gives the purpose of a trip as 'business'. To ascertain the purpose, the household member may be asked - "Would you have undertaken the trip if no business was needed to be done?" The purpose would be taken as 'business' only if the answer is 'no'. In this way the purpose of each individual member who undertook the trip is to be recorded here. 

The codes are -

Business	-1	Education & training 	-5	
Holidaying, leisure and recreation	-2	Health & medical 	-6	
Social (including visiting friends and relatives, attending marriages, etc.)	-3	Shopping 	-7	
Pilgrimage & religious activities	-4	Others 	-9	

Note: There may be exceptional situations where no one purpose can be identified as the unique purpose. In such a case, the purpose will be identified as that purpose which the informant considers to be the most important for the trip member.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        157110
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Leading purpose of trip as a whole is that purpose without which none of the members in that trip would have undertaken the trip.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          business
        </labl>
        <catStat type="freq">
          7176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          holidaying, leisure and recreation
        </labl>
        <catStat type="freq">
          5508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          social (including visiting friends and relatives, attending marriages, etc.)
        </labl>
        <catStat type="freq">
          71278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          pilgrimage &amp; religious activities
        </labl>
        <catStat type="freq">
          15307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          education &amp; training
        </labl>
        <catStat type="freq">
          1441
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          health &amp; medical
        </labl>
        <catStat type="freq">
          25608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          shopping
        </labl>
        <catStat type="freq">
          20811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          9981
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V184" name="B5_2_q6" files="F5" intrvl="discrete">
      <location StartPos="58" EndPos="58" width="1" RecSegNo="1"/>
      <labl>
        Type of trip
      </labl>
      <qstn>
        <qstnLit>
          Type of trip
        </qstnLit>
        <ivuInstr><![CDATA[A package is a combination of transport and any one or more chargeable travel services (e.g., accommodation, meals/food, entertainment and/or sightseeing, etc.) and sold by tour operators through travel agencies or directly to final consumers as a single product for a single price. The components of a package tour might be pre-established or tailor-made, in which case, the visitor chooses a combination of services he/she wishes to acquire from a pre-established list of such services. If such a package is availed of for a major part of time in a trip, such a trip should be considered as a package trip. Note that, travelling by say, a hired video coach, for sightseeing where expenditure on food and entry tickets to sightseeing spots are borne separately by the visitors should not be taken as a package. If the expenditure on transport and one or more chargeable travel services availed for some time during the  trip does not cover the whole trip but covers only a minor time of the duration of the trip then such a trip should not be considered as package trip although the trip has a package component. Therefore, a trip which is not a package trip may have both package and non-package components. Similarly, a package trip may also contain non-package component in addition to its package component, e.g., a visitor may avail himself of accommodation and other services in the package through some tour operator but make some special sight-seeing arrangements in some places of visit in the trip on his own. If a trip is a package trip then code '1' should be given, otherwise code '2' should be recorded. It may be noted here that a package trip must have a package component but not vice versa.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        157101
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          package
        </labl>
        <catStat type="freq">
          611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          non-package
        </labl>
        <catStat type="freq">
          156490
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V185" name="B5_2_q7" files="F5" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        Mode of travel- major
      </labl>
      <qstn>
        <qstnLit>
          Mode of travel- major
        </qstnLit>
        <ivuInstr><![CDATA[Mode of travel  refers to means of transport used by visitor(s) to travel in a trip. The travel relevant here is the travelling done to cover the distances to the destinations and not joyrides or movement for adventure, as in skiing or boating for pleasure, or walking inside a museum, fort or maze. Visitor(s) may be using one or more means of transport in a trip The admissible codes  are: on foot-01, bus-02, train(railways)-03, ship/boat-04, air-05, own transport: bicycle-06, two-wheeler-07, rickshaw-08, auto rickshaw-10, car/jeep-11, tractor/truck-12, animal driven transport-13,  transport equipment rental (hired transport): bicycle-14, two-wheeler-15, rickshaw-16, auto rickshaw-17, car/jeep-18, tractor/truck-20, animal driven transport-21, others -29]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        157099
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          on foot
        </labl>
        <catStat type="freq">
          7167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          bus
        </labl>
        <catStat type="freq">
          91405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          train (railways)
        </labl>
        <catStat type="freq">
          6023
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          ship/boat
        </labl>
        <catStat type="freq">
          187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          air
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          own transport: bicycle
        </labl>
        <catStat type="freq">
          9463
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          own transport: two-wheeler
        </labl>
        <catStat type="freq">
          10988
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          own transport: rickshaw
        </labl>
        <catStat type="freq">
          364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          own transport: auto rickshaw
        </labl>
        <catStat type="freq">
          2094
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          own transport: car/jeep
        </labl>
        <catStat type="freq">
          7261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          own transport: tractor/truck
        </labl>
        <catStat type="freq">
          424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          own transport: animal driven transport
        </labl>
        <catStat type="freq">
          145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[transport equipment rental(hired transport):  bicycle]]></labl>
        <catStat type="freq">
          154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          transport equipment rental(hired transport): two-wheeler
        </labl>
        <catStat type="freq">
          335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          transport equipment rental(hired transport): rickshaw
        </labl>
        <catStat type="freq">
          1272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          transport equipment rental(hired transport): auto rickshaw
        </labl>
        <catStat type="freq">
          8925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          transport equipment rental(hired transport): car/jeep
        </labl>
        <catStat type="freq">
          8977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          transport equipment rental(hired transport): tractor/truck
        </labl>
        <catStat type="freq">
          547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          transport equipment rental(hired transport): animal driven transport
        </labl>
        <catStat type="freq">
          401
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          953
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V186" name="B5_2_q8" files="F5" intrvl="discrete">
      <location StartPos="61" EndPos="62" width="2" RecSegNo="1"/>
      <labl>
        Mode of travel- minor
      </labl>
      <qstn>
        <qstnLit>
          Mode of travel- minor
        </qstnLit>
        <ivuInstr><![CDATA[Mode of travel  refers to means of transport used by visitor(s) to travel in a trip. The travel relevant here is the travelling done to cover the distances to the destinations and not joyrides or movement for adventure, as in skiing or boating for pleasure, or walking inside a museum, fort or maze. Visitor(s) may be using one or more means of transport in a trip The admissible codes  are: on foot-01, bus-02, train(railways)-03, ship/boat-04, air-05, own transport: bicycle-06, two-wheeler-07, rickshaw-08, auto rickshaw-10, car/jeep-11, tractor/truck-12, animal driven transport-13,  transport equipment rental (hired transport): bicycle-14, two-wheeler-15, rickshaw-16, auto rickshaw-17, car/jeep-18, tractor/truck-20, animal driven transport-21, others -29]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        82978
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          on foot
        </labl>
        <catStat type="freq">
          51467
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          bus
        </labl>
        <catStat type="freq">
          2589
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          train (railways)
        </labl>
        <catStat type="freq">
          291
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          ship/boat
        </labl>
        <catStat type="freq">
          412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          air
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          own transport: bicycle
        </labl>
        <catStat type="freq">
          1147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          own transport: two-wheeler
        </labl>
        <catStat type="freq">
          422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          own transport: rickshaw
        </labl>
        <catStat type="freq">
          1544
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          own transport: auto rickshaw
        </labl>
        <catStat type="freq">
          1696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          own transport: car/jeep
        </labl>
        <catStat type="freq">
          246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          own transport: tractor/truck
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          own transport: animal driven transport
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[transport equipment rental(hired transport):  bicycle]]></labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          transport equipment rental(hired transport): two-wheeler
        </labl>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          transport equipment rental(hired transport): rickshaw
        </labl>
        <catStat type="freq">
          5434
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          transport equipment rental(hired transport): auto rickshaw
        </labl>
        <catStat type="freq">
          11214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          transport equipment rental(hired transport): car/jeep
        </labl>
        <catStat type="freq">
          961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          transport equipment rental(hired transport): tractor/truck
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          transport equipment rental(hired transport): animal driven transport
        </labl>
        <catStat type="freq">
          343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          4933
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V187" name="B5_2_q9" files="F5" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        Type of stay
      </labl>
      <qstn>
        <qstnLit>
          Type of stay
        </qstnLit>
        <ivuInstr><![CDATA[The type of stay refers to the accommodation used for stay by visitor(s) in a trip  In a same-day trip, visitor(s) may stay in different types of places for rest during the trip. The type of place (place of longest stay if more than one) which was used for taking rest, refreshing oneself, etc. is to be recorded in this column. However,  halt made only to take meals/snacks will not qualify as stay. The admissible codes are: hotel-1, private guest house-2, Govt. guest house -3, dharamshala-4, rented house-5, friends & relatives-6, did not stay at all-7, others including carriages/ coaches -9.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          hotel
        </labl>
        <catStat type="freq">
          438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          private guest house
        </labl>
        <catStat type="freq">
          312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Govt. guest house
        </labl>
        <catStat type="freq">
          135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          dharamshala
        </labl>
        <catStat type="freq">
          426
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          rented house
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          friends &amp; relatives
        </labl>
        <catStat type="freq">
          29321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          did not stay at all
        </labl>
        <catStat type="freq">
          122394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl><![CDATA[others including  carriages / coaches ]]></labl>
        <catStat type="freq">
          4053
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V188" name="B5_2_q10" files="F5" intrvl="discrete">
      <location StartPos="64" EndPos="64" width="1" RecSegNo="1"/>
      <labl>
        Leading purpose for the trip
      </labl>
      <qstn>
        <qstnLit>
          Leading purpose for all the members performing the trip
        </qstnLit>
        <ivuInstr>
          Leading purpose of trip as a whole is that purpose without which none of the members in that trip would have undertaken the trip. This must be one of the purposes mentioned in Column 5 for a particular trip. Clearly, the leading purpose of a trip will be the same for all the members who undertook that trip. There may be exceptional situations where no one purpose can be identified as the leading purpose. For example, there could be two or more purposes, say, pilgrimage and health, recorded for different trip members. In such a case, the leading purpose will be identified as that purpose which the informant considers to be the most important for different trip members. The code structure is the same as for Column 5.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        157110
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          business
        </labl>
        <catStat type="freq">
          7182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          holidaying, leisure and recreation
        </labl>
        <catStat type="freq">
          5497
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          social (including visiting friends and relatives, attending marriages, etc.)
        </labl>
        <catStat type="freq">
          71272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          pilgrimage &amp; religious activities
        </labl>
        <catStat type="freq">
          15313
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          education &amp; training
        </labl>
        <catStat type="freq">
          1448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          health &amp; medical
        </labl>
        <catStat type="freq">
          26026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          shopping
        </labl>
        <catStat type="freq">
          20811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          9561
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V189" name="B5_2_q11" files="F5" intrvl="discrete">
      <location StartPos="65" EndPos="66" width="2" RecSegNo="1"/>
      <labl>
        Month of visit
      </labl>
      <qstn>
        <qstnLit>
          Month of visit
        </qstnLit>
        <ivuInstr>
          The month when the trip was undertaken is to be recorded against this item. Applicable codes are-January-01, Februray-02,March-03,April-04, May-05, June-06, July-07, August-08, September-09, October-10, November-11, December-12.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        156933
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          January
        </labl>
        <catStat type="freq">
          12919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          February
        </labl>
        <catStat type="freq">
          12346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          March
        </labl>
        <catStat type="freq">
          11569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          April
        </labl>
        <catStat type="freq">
          12867
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          13783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          June
        </labl>
        <catStat type="freq">
          8175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          July
        </labl>
        <catStat type="freq">
          14415
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          August
        </labl>
        <catStat type="freq">
          16492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          September
        </labl>
        <catStat type="freq">
          12940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
        <catStat type="freq">
          14445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
        <catStat type="freq">
          14165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
        <catStat type="freq">
          12817
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V190" name="B5_2_q12" files="F5" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        Main destination
      </labl>
      <qstn>
        <qstnLit>
          Main destination
        </qstnLit>
        <ivuInstr><![CDATA[If visiting a certain place is central to the decision to undertake the trip, then that place will be termed the main destination of the trip. However, if no such place can be identified by the informant, the main destination is to be taken as the place where the members spent most of their time during the trip. If the visitors spent the same amount of time in two or more places during the trip, then the main destination is that one among these places which is the farthest from the usual place residence of the visitor. Obviously, the main destination of a trip will be the same for all the members who undertook that trip. The codes are - 
destination within the district: 1, 
destination outside the district but within the State: 2,
destination outside the State but within the country: 3]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        156716
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          destination within the district
        </labl>
        <catStat type="freq">
          124490
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          destination outside the district but within the state
        </labl>
        <catStat type="freq">
          27704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          destination outside the state but within the country
        </labl>
        <catStat type="freq">
          4522
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V191" name="B5_2_q13" files="F5" intrvl="discrete">
      <location StartPos="68" EndPos="69" width="2" RecSegNo="1"/>
      <labl>
        State code
      </labl>
      <qstn>
        <qstnLit>
          Main destination - state
        </qstnLit>
        <ivuInstr><![CDATA[If code '3' in column 12 then State code: If the main destination of a particular trip is outside the State of origin (i.e. the State in which the household is located) then the State of the main destination is to be recorded. Once the main destination is uniquely identified, its State code is to be entered in this column. The code structure is as follows-
Andhra Pradesh	….28	Karnataka	….29	Tamil Nadu	….33	
Arunachal Pradesh	….12	Kerala	….32	Tripura	….16	
Assam	….18	Madhya Pradesh	….23	Uttaranchal	….05	
Bihar	….10	Maharashtra	….27	Uttar Pradesh	….09	
Chhattisgarh	….22	Manipur	….14	West Bengal	….19	
Delhi	….07	Megahlaya	….17	A & N Islands	….35	
Goa	….30	Mizoram	….15	Chandigarh	….04	
Gujarat	….24	Nagaland	….13	Dadra & Nagar Haveli	….26	
Haryana	….06	Orissa	….21	Daman & Diu	….25	
Himachal Pradesh	….02	Punjab	….03	Lakshadweep	….31	
Jammu & Kashmir	….01	Rajasthan	….08	Pondicherry	….34	
Jharkhand	….20	Sikkim	….11]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        4542
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          373
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          418
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V545" name="B5_2_q14" files="F5" dcml="0" intrvl="contin">
      <location StartPos="70" EndPos="72" width="3" RecSegNo="1"/>
      <labl>
        No. of places visited during the trip
      </labl>
      <qstn>
        <qstnLit>
          No. of places visited during the trip
        </qstnLit>
        <ivuInstr>
          The term visit refers to the stay (overnight or same-day) in a place visited during a trip. The stay need not be overnight to qualify as a visit. Nevertheless, the notion of stay supposes that there is a stop for a purpose of trip. Entering a geographical area without stopping there for a purpose or stopping for taking food during transit is not to be considered as a visit to that place. The 'main destination' must also be counted as a place of visit. If two or more places are reported to have been visited which are in the same town or in the same village, they should be counted once only. The total number of all places visited (including the main destination) in the trip is to be recorded here. Thus, the entry should be 1 or more.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        156806
      </sumStat>
      <sumStat type="invd">
        317
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V193" name="NSS" files="F5" intrvl="discrete">
      <location StartPos="73" EndPos="74" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V194" name="NSC" files="F5" intrvl="discrete">
      <location StartPos="75" EndPos="77" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V195" name="MLT" files="F5" dcml="0" intrvl="contin">
      <location StartPos="78" EndPos="85" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="13600275"/>
      </valrng>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        13600275
      </sumStat>
      <sumStat type="mean">
        212257.588
      </sumStat>
      <sumStat type="stdev">
        366095.241
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V198" name="Wgt_SubSample" wgt="wgt" files="F5" dcml="2" intrvl="contin">
      <location StartPos="86" EndPos="94" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="136002.75"/>
      </valrng>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        136002.75
      </sumStat>
      <sumStat type="mean">
        2122.576
      </sumStat>
      <sumStat type="stdev">
        3660.952
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V199" name="Wgt_Combined" wgt="wgt" files="F5" dcml="2" intrvl="contin">
      <location StartPos="95" EndPos="102" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="68001.375"/>
      </valrng>
      <sumStat type="vald">
        157123
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        68001.375
      </sumStat>
      <sumStat type="mean">
        1061.288
      </sumStat>
      <sumStat type="stdev">
        1830.476
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V230" name="HHID" files="F6" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V200" name="Centre_Rnd_SubFolder" files="F6" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V201" name="FSU_srl_no" files="F6" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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="V202" name="Round" files="F6" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V203" name="Sch_no" files="F6" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V204" name="Sample" files="F6" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V205" name="Sector" files="F6" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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">
          55824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          32526
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V206" name="State_Region" files="F6" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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="V231" name="State" files="F6" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          2024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          4144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          11195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          3439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          861
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          6795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          3255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          4962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          3468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          7681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          5513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          3842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          5204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          279
        </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="V207" name="District" files="F6" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V208" name="Stratum" files="F6" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V209" name="Sub_Stratum" files="F6" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32515
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V210" name="Sub_Round" files="F6" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          22811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          22113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          21708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          21718
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V211" name="Sub_Sample" files="F6" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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">
          44340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          44010
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V212" name="FOD_SubRegion" files="F6" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V213" name="HG_SubBlk_No" files="F6" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V214" name="Second_Stratum" files="F6" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V215" name="Hhold_No" files="F6" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V216" name="Level" files="F6" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          06
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V217" name="B6_1_q1" files="F6" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Trip serial no.
      </labl>
      <qstn>
        <qstnLit>
          Trip serial no.
        </qstnLit>
        <ivuInstr>
          The serial number of trip as provided in Column 1 of Block 5.1 is to be copied against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V218" name="B6_1_q2" files="F6" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Type of trip
      </labl>
      <qstn>
        <qstnLit>
          Type of trip
        </qstnLit>
        <ivuInstr>
          The type of trip as provided in Column 6 of Block 5.1 is to be copied against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        88068
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          package
        </labl>
        <catStat type="freq">
          853
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          non-package
        </labl>
        <catStat type="freq">
          87215
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V219" name="B6_1_q3" files="F6" dcml="0" intrvl="contin">
      <location StartPos="51" EndPos="56" width="6" RecSegNo="1"/>
      <labl>
        Package component (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the package component of the trip in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          A package trip is a combination of transport and one or more chargeable travel services (e.g., accommodation, meals, entertainment, and sightseeing) which is sold by tour operators through travel agencies or directly to final consumers as a single product for a single price, which was availed for a majority time of the trip. A particular trip may have both package and non-package components. For example, for a particular trip a package may be availed of for transport, accommodation and breakfast for which separate break-up may not be available. The lump-sum expenditure incurred for this part is to be included against this item for each trip.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="150000"/>
      </valrng>
      <sumStat type="vald">
        7613
      </sumStat>
      <sumStat type="invd">
        80737
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        150000
      </sumStat>
      <sumStat type="mean">
        372.556
      </sumStat>
      <sumStat type="stdev">
        3033.852
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V220" name="B6_1_q4a" files="F6" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="61" width="5" RecSegNo="1"/>
      <labl>
        Hotel (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on hotel stay in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          A hotel is an establishment that provides paid lodging, usually on a short-term basis. At times, hotels provide a number of additional guest services such as a restaurant, a swimming pool, childcare, etc. Operationally, if the respondent claims that he/she stayed in a hotel, expenditure on such stay should be recorded against this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="46000"/>
      </valrng>
      <sumStat type="vald">
        3774
      </sumStat>
      <sumStat type="invd">
        84576
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        46000
      </sumStat>
      <sumStat type="mean">
        1061.581
      </sumStat>
      <sumStat type="stdev">
        2159.771
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V221" name="B6_1_q4b" files="F6" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="66" width="5" RecSegNo="1"/>
      <labl>
        Private guest house (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on private guest house stay in terms of Rs.?
        </qstnLit>
        <ivuInstr><![CDATA[These are the accommodation units owned and managed by private entrepreneurs/ bodies.  Examples are Youth Hostels run by YMCA, YWCA, Guest Houses run by NGOs, Holiday Homes of banks and insurance companies managed by their recreation clubs, etc. Expenditure on such accommodation will come under this item.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="14800"/>
      </valrng>
      <sumStat type="vald">
        692
      </sumStat>
      <sumStat type="invd">
        87658
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        14800
      </sumStat>
      <sumStat type="mean">
        864.895
      </sumStat>
      <sumStat type="stdev">
        1517.958
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V222" name="B6_1_q4c" files="F6" dcml="0" intrvl="contin">
      <location StartPos="67" EndPos="70" width="4" RecSegNo="1"/>
      <labl>
        Govt. guest house (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on govt. guest house stay in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          These are the accommodation units owned and managed by Central or State Governments/ local bodies. Examples are circuit houses, Panchayat Bhavans, different state guest houses like Andhra Bhavan, Maharashtra Bhavan, etc. in Delhi, Nizam Palace in Kolkata, Government Youth Hostels, etc. Expenditure on such accommodation will come under this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="5000"/>
      </valrng>
      <sumStat type="vald">
        355
      </sumStat>
      <sumStat type="invd">
        87995
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5000
      </sumStat>
      <sumStat type="mean">
        469.777
      </sumStat>
      <sumStat type="stdev">
        714.448
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V223" name="B6_1_q4d" files="F6" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="75" width="5" RecSegNo="1"/>
      <labl>
        Dharamshala (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on dharamshala stay in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          A Dharamshala is a rest house usually for accommodation of visitors during their pilgrimage. It is generally a dormitory for pilgrims located near religious places. Accommodation may be free or at some charge. Expenditure on such accommodation should come under this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="11000"/>
      </valrng>
      <sumStat type="vald">
        2511
      </sumStat>
      <sumStat type="invd">
        85839
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11000
      </sumStat>
      <sumStat type="mean">
        200.66
      </sumStat>
      <sumStat type="stdev">
        384.333
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V224" name="B6_1_q4e" files="F6" dcml="0" intrvl="contin">
      <location StartPos="76" EndPos="80" width="5" RecSegNo="1"/>
      <labl>
        Rented house (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on rented house stay in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          If any part or whole of any residential unit, owned solely or jointly by an individual or a group of individuals, is rented to tourists then the expenditure towards that type of accommodation will come under this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="20000"/>
      </valrng>
      <sumStat type="vald">
        382
      </sumStat>
      <sumStat type="invd">
        87968
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        20000
      </sumStat>
      <sumStat type="mean">
        756.435
      </sumStat>
      <sumStat type="stdev">
        1488.911
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V225" name="B6_1_q4f" files="F6" dcml="0" intrvl="contin">
      <location StartPos="81" EndPos="85" width="5" RecSegNo="1"/>
      <labl>
        Others (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What was the non-package component of the trip on all other types of accommodation  in terms of Rs.?]]></qstnLit>
        <ivuInstr><![CDATA[Amount spent on all other types of accommodation except on those mentioned in items 4.1 to 4.6 will come under this item. Examples are carriages/coaches, tents, second /vacation homes, etc. For each household, there is a dwelling that is considered as its primary home and whose location defines the usual place of residence for the members of this household. All other dwellings for this household are to be considered as second/vacation homes. Sometimes expenditure on accommodation may not be available separately in cases of carriages/coaches, which is generally included in the cost of transportation itself.  For example, railway reservation charge is included in the fare as reservation charge for night journey.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="20000"/>
      </valrng>
      <sumStat type="vald">
        1378
      </sumStat>
      <sumStat type="invd">
        86972
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        20000
      </sumStat>
      <sumStat type="mean">
        625.734
      </sumStat>
      <sumStat type="stdev">
        1409.224
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V226" name="B6_1_q4T" files="F6" dcml="0" intrvl="contin">
      <location StartPos="86" EndPos="90" width="5" RecSegNo="1"/>
      <labl>
        Sub-total (accomodation : non-package component in Rs.)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="46000"/>
      </valrng>
      <sumStat type="vald">
        8856
      </sumStat>
      <sumStat type="invd">
        79494
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        46000
      </sumStat>
      <sumStat type="mean">
        725.696
      </sumStat>
      <sumStat type="stdev">
        1688.486
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes><![CDATA[The total of all entries in 4.1 to  4.9 is recorded against this item.]]></notes>
    </var>
    <var ID="V227" name="NSS" files="F6" intrvl="discrete">
      <location StartPos="91" EndPos="92" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V228" name="NSC" files="F6" intrvl="discrete">
      <location StartPos="93" EndPos="95" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V229" name="MLT" files="F6" dcml="0" intrvl="contin">
      <location StartPos="96" EndPos="103" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="15967600"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        15967600
      </sumStat>
      <sumStat type="mean">
        122645.279
      </sumStat>
      <sumStat type="stdev">
        257013.639
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V232" name="Wgt_SubSample" wgt="wgt" files="F6" dcml="2" intrvl="contin">
      <location StartPos="104" EndPos="112" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="159676"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        159676
      </sumStat>
      <sumStat type="mean">
        1226.453
      </sumStat>
      <sumStat type="stdev">
        2570.136
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V233" name="Wgt_Combined" wgt="wgt" files="F6" dcml="2" intrvl="contin">
      <location StartPos="113" EndPos="120" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="79838"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        79838
      </sumStat>
      <sumStat type="mean">
        613.226
      </sumStat>
      <sumStat type="stdev">
        1285.068
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V266" name="HHID" files="F7" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V234" name="Centre_Rnd_SubFolder" files="F7" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V235" name="FSU_srl_no" files="F7" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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="V236" name="Round" files="F7" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V237" name="Sch_no" files="F7" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V238" name="Sample" files="F7" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V239" name="Sector" files="F7" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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">
          55824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          32526
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V240" name="State_Region" files="F7" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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="V267" name="State" files="F7" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          2024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          4144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          11195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          3439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          861
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          6795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          3255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          4962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          3468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          7681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          5513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          3842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          5204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          279
        </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="V241" name="District" files="F7" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V242" name="Stratum" files="F7" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V243" name="Sub_Stratum" files="F7" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32515
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V244" name="Sub_Round" files="F7" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          22811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          22113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          21708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          21718
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V245" name="Sub_Sample" files="F7" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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">
          44340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          44010
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V246" name="FOD_SubRegion" files="F7" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V247" name="HG_SubBlk_No" files="F7" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V248" name="Second_Stratum" files="F7" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V249" name="Hhold_No" files="F7" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V250" name="Level" files="F7" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          07
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V251" name="B6_1_q1" files="F7" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Trip serial no.
      </labl>
      <qstn>
        <qstnLit>
          Trip serial no.
        </qstnLit>
        <ivuInstr>
          The serial number of trip as provided in Column 1 of Block 5.1 is to be copied against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V252" name="B6_1_q5a" files="F7" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="54" width="5" RecSegNo="1"/>
      <labl>
        In the accommodation unit (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on food &amp; drink in the accomodation unit in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes the expenditure incurred on purchase of food and drinks in the accommodation units where the household members stay during the trip.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90000"/>
      </valrng>
      <sumStat type="vald">
        12915
      </sumStat>
      <sumStat type="invd">
        75435
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90000
      </sumStat>
      <sumStat type="mean">
        362.617
      </sumStat>
      <sumStat type="stdev">
        1178.817
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V253" name="B6_1_q5b" files="F7" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="59" width="5" RecSegNo="1"/>
      <labl>
        Outside accommodation unit (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on food &amp; drink outside the accomodation unit in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes the expenditure incurred on purchase of food and drinks outside the accommodation units where the household members stay during the trip, or during transit or journey time.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="35000"/>
      </valrng>
      <sumStat type="vald">
        61509
      </sumStat>
      <sumStat type="invd">
        26841
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        35000
      </sumStat>
      <sumStat type="mean">
        121.692
      </sumStat>
      <sumStat type="stdev">
        332.926
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V254" name="B6_1_q5T" files="F7" dcml="0" intrvl="contin">
      <location StartPos="60" EndPos="64" width="5" RecSegNo="1"/>
      <labl>
        Sub-total (food &amp; drink : non-package component in Rs.)
      </labl>
      <valrng>
        <range min="0" max="91500"/>
      </valrng>
      <sumStat type="vald">
        64179
      </sumStat>
      <sumStat type="invd">
        24171
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        91500
      </sumStat>
      <sumStat type="mean">
        189.6
      </sumStat>
      <sumStat type="stdev">
        682.503
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes>
        The total of all entries in items 5.1 to 5.2 is to be recorded against this item.
      </notes>
    </var>
    <var ID="V255" name="B6_1_q6a" files="F7" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="69" width="5" RecSegNo="1"/>
      <labl>
        Railways (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on transport through railways in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All expenditure on railway fare, including super fast charges, reservation charges, tatkal charges, etc. paid to railway authorities is to be recorded against this item. Amount paid to travel agencies, etc., for booking railway tickets is not to be recorded here. This expenditure is to be recorded against item 6.6 of this block. If the travel is made by hired railway coach/carriage/saloon, the cost of such travel should come here. In some places the Railways may provide rail-cum-road services which is included in the total payment to be made to the railway authorities. In such cases, the entire amount paid to the railways should be recorded against this item. Expenditure towards travelling by toy train will come under this category provided it is necessary for travelling; otherwise if it is for joyride, the corresponding expenditure should be recorded against item 8.1 of this block.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="32000"/>
      </valrng>
      <sumStat type="vald">
        14437
      </sumStat>
      <sumStat type="invd">
        73913
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        32000
      </sumStat>
      <sumStat type="mean">
        591.049
      </sumStat>
      <sumStat type="stdev">
        1201.308
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V256" name="B6_1_q6b" files="F7" dcml="0" intrvl="contin">
      <location StartPos="70" EndPos="74" width="5" RecSegNo="1"/>
      <labl>
        Road (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on transport via road in terms of Rs.?
        </qstnLit>
        <ivuInstr><![CDATA[This includes expenditure on passenger transport by bus services; on own transport by bicycle, two-wheeler, rickshaw, auto rickshaw, car/jeep, tractor/truck, animal driven transport such as horse-carts (tongas), bullock-carts, camel-carts, etc.; on transport by animals like horseback, pony-back, etc.; on transport by humans such as palki (palanquin), doli carriages, dandi, etc., and on other road transport.  Expenditure towards cost of fuel, engagement of drivers, and repair and maintenance of vehicle in case of own transport is also to be included.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="20000"/>
      </valrng>
      <sumStat type="vald">
        70142
      </sumStat>
      <sumStat type="invd">
        18208
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        20000
      </sumStat>
      <sumStat type="mean">
        204.558
      </sumStat>
      <sumStat type="stdev">
        423.141
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V257" name="B6_1_q6c" files="F7" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="79" width="5" RecSegNo="1"/>
      <labl>
        Water (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on transport through water in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes expenditure on water transport by ship/steamer/ boat / catamaran, etc., which is necessary for movement. Note that availing oneself of water transport for the purpose of joyride, water sports, river rafting, yachting, water-biking, adventure etc. will not come under this item but will be covered under item 8.1 or item 8.4 of this block, as the case may be.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="18600"/>
      </valrng>
      <sumStat type="vald">
        1164
      </sumStat>
      <sumStat type="invd">
        87186
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        18600
      </sumStat>
      <sumStat type="mean">
        276.728
      </sumStat>
      <sumStat type="stdev">
        1030.792
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V258" name="B6_1_q6d" files="F7" dcml="0" intrvl="contin">
      <location StartPos="80" EndPos="84" width="5" RecSegNo="1"/>
      <labl>
        Air (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on transport via air in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes expenditure on air transport by flights/helicopter etc. Note that availing air transport for the purpose of adventure sport like ballooning, Para-gliding, Para-sailing etc. will not come under this item. It will come under 'Others' in item 9.All payments made to airlines relating to transport tax, insurance, passenger tax, etc. should be recorded here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="84000"/>
      </valrng>
      <sumStat type="vald">
        326
      </sumStat>
      <sumStat type="invd">
        88024
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        84000
      </sumStat>
      <sumStat type="mean">
        13315.709
      </sumStat>
      <sumStat type="stdev">
        11025.055
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V259" name="B6_1_q6e" files="F7" dcml="0" intrvl="contin">
      <location StartPos="85" EndPos="89" width="5" RecSegNo="1"/>
      <labl>
        Transport equipment rental (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on hired road transport in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes expenditure on hired road transport by bicycle, two-wheeler, rickshaw, auto rickshaw, taxi, car/jeep, tractor/truck, animal driven transport such as horse-carts (tongas), bullock-carts, camel-carts, etc. This category excludes expenditure on travel by railways (included in item 6.1), by water (included in item 6.3) and by air (included in item 6.4). This category also excludes expenditure on transport by animal, such as horseback, pony-back, and transport by humans such as palki (palanquin), doli carriages, dandi, etc. (included in item 6.9). The transport equipment must be hired with or without the services of the operator (driver). If it is shared with any other person(s) who is/are not member(s) of the trip, except for the driver and helper, then only the part of the expenditure related to member(s) of the trip should be considered. If the transport equipment is hired without fuel and/or operator services, then expenditure towards cost of fuel, engagement of driver, etc. should be recorded here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="37300"/>
      </valrng>
      <sumStat type="vald">
        27823
      </sumStat>
      <sumStat type="invd">
        60527
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        37300
      </sumStat>
      <sumStat type="mean">
        183.685
      </sumStat>
      <sumStat type="stdev">
        692.438
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V260" name="B6_1_q6f" files="F7" dcml="0" intrvl="contin">
      <location StartPos="90" EndPos="93" width="4" RecSegNo="1"/>
      <labl>
        Travel agency services/ tour operators (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on travel agency services in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          Visitors (or potential visitors), when planning and organizing their trip, often use the services of travel agencies in order to get information on different alternatives and for bookings. The function of these agencies consists mainly of selling the right to use a certain service provided by others at a certain moment in time and within certain conditions. They play the role of providing information and access to the visitor and are the middleman in the purchase of certain services. Tour operators are businesses that combine transport and one or more chargeable travel services (e.g., accommodation, meals, entertainment, sightseeing) and sell them through travel agencies or directly to final consumers as a single product (called a package tour) for a single price. The expenditure incurred for booking of travel services like transport, accommodation, etc. including the commission recognized to travel agencies selling the package tours to the visitors is to be considered here. It may be noted here that the actual cost of travel services should not come here. Only the cost of booking these services through travel agencies/tour operators related to a trip should come here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="4" max="7500"/>
      </valrng>
      <sumStat type="vald">
        334
      </sumStat>
      <sumStat type="invd">
        88016
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        7500
      </sumStat>
      <sumStat type="mean">
        361.802
      </sumStat>
      <sumStat type="stdev">
        714.185
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V261" name="B6_1_q6g" files="F7" dcml="0" intrvl="contin">
      <location StartPos="94" EndPos="98" width="5" RecSegNo="1"/>
      <labl>
        others and supporting services (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What was the non-package component of the trip on other supporting services e.g. motorised and non-motorised modes of transport not mentioned elsewhere  in terms of Rs.?]]></qstnLit>
        <ivuInstr>
          This category includes expenditure on other motorised and non-motorised modes of transport not mentioned elsewhere related to a trip like transport by animal like horseback, pony-back, etc; transport by humans such as palki (palanquin), doli carriages, dandi and transport by cable car/ropeway, etc.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15000"/>
      </valrng>
      <sumStat type="vald">
        3441
      </sumStat>
      <sumStat type="invd">
        84909
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15000
      </sumStat>
      <sumStat type="mean">
        96.982
      </sumStat>
      <sumStat type="stdev">
        433.605
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V262" name="B6_1_q6T" files="F7" dcml="0" intrvl="contin">
      <location StartPos="99" EndPos="104" width="6" RecSegNo="1"/>
      <labl>
        sub-total (transport : non-package component in Rs.)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="109000"/>
      </valrng>
      <sumStat type="vald">
        84022
      </sumStat>
      <sumStat type="invd">
        4328
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        109000
      </sumStat>
      <sumStat type="mean">
        394.056
      </sumStat>
      <sumStat type="stdev">
        1448.702
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes>
        The total of all entries in 6.1 to 6.9 is recorded against this item.
      </notes>
    </var>
    <var ID="V263" name="NSS" files="F7" intrvl="discrete">
      <location StartPos="105" EndPos="106" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V264" name="NSC" files="F7" intrvl="discrete">
      <location StartPos="107" EndPos="109" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V265" name="MLT" files="F7" dcml="0" intrvl="contin">
      <location StartPos="110" EndPos="117" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="15967600"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        15967600
      </sumStat>
      <sumStat type="mean">
        122645.279
      </sumStat>
      <sumStat type="stdev">
        257013.639
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V268" name="Wgt_SubSample" wgt="wgt" files="F7" dcml="2" intrvl="contin">
      <location StartPos="118" EndPos="126" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="159676"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        159676
      </sumStat>
      <sumStat type="mean">
        1226.453
      </sumStat>
      <sumStat type="stdev">
        2570.136
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V269" name="Wgt_Combined" wgt="wgt" files="F7" dcml="2" intrvl="contin">
      <location StartPos="127" EndPos="134" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="79838"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        79838
      </sumStat>
      <sumStat type="mean">
        613.226
      </sumStat>
      <sumStat type="stdev">
        1285.068
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V302" name="HHID" files="F8" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V270" name="Centre_Rnd_SubFolder" files="F8" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V271" name="FSU_srl_no" files="F8" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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="V272" name="Round" files="F8" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V273" name="Sch_no" files="F8" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V274" name="Sample" files="F8" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V275" name="Sector" files="F8" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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">
          55824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          32526
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V276" name="State_Region" files="F8" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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="V303" name="State" files="F8" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          2024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          4144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          11195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          3439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          861
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          6795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          3255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          4962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          3468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          7681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          5513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          3842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          5204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          279
        </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="V277" name="District" files="F8" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V278" name="Stratum" files="F8" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V279" name="Sub_Stratum" files="F8" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32515
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V280" name="Sub_Round" files="F8" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          22811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          22113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          21708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          21718
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V281" name="Sub_Sample" files="F8" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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">
          44340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          44010
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V282" name="FOD_SubRegion" files="F8" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V283" name="HG_SubBlk_No" files="F8" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V284" name="Second_Stratum" files="F8" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V285" name="Hhold_No" files="F8" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V286" name="Level" files="F8" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          08
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V287" name="B6_1_q1" files="F8" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Trip serial no.
      </labl>
      <qstn>
        <qstnLit>
          Trip serial no.
        </qstnLit>
        <ivuInstr>
          The serial number of trip as provided in Column 1 of Block 5.1 is to be copied against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V288" name="B6_1_q7a" files="F8" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="55" width="6" RecSegNo="1"/>
      <labl>
        Clothing and garments (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on clothing and garments in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes expenditure on clothes, viz. dhoti, sari, chaddar, dupatta, shawl, lungi, etc; readymade garments like shirt, trousers, pyjama, ladies suit, coats etc.; knitted garments like sweater, pullover, cardigan, etc; bed sheet, bed cover, blanket, pillow, quilts etc; socks, gloves, caps, knitting wool, towel and similar items.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="300000"/>
      </valrng>
      <sumStat type="vald">
        18941
      </sumStat>
      <sumStat type="invd">
        69409
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        300000
      </sumStat>
      <sumStat type="mean">
        689.895
      </sumStat>
      <sumStat type="stdev">
        2901.509
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V289" name="B6_1_q7b" files="F8" dcml="0" intrvl="contin">
      <location StartPos="56" EndPos="60" width="5" RecSegNo="1"/>
      <labl>
        Processed food (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on processed food in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This item includes expenditure incurred on tea, coffee, beverages like cold drinks, fruit juices, etc; bakery products like biscuits, cake, pastry, etc.; salted refreshment, prepared sweets, pickle, sauce, jam, jelly etc. and similar items. Items covered here are foods that are not purchased or consumed as regular breakfast, lunch or dinner during the trip (which are to be covered under item 5). However, items purchased during the trip for future consumption are to be covered here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="16000"/>
      </valrng>
      <sumStat type="vald">
        46030
      </sumStat>
      <sumStat type="invd">
        42320
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        16000
      </sumStat>
      <sumStat type="mean">
        93.807
      </sumStat>
      <sumStat type="stdev">
        193.642
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V290" name="B6_1_q7c" files="F8" dcml="0" intrvl="contin">
      <location StartPos="61" EndPos="64" width="4" RecSegNo="1"/>
      <labl>
        Tobacco products (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on tobacco products in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          Expenditure on items like pan, supari, lime, katha, bidi, cigarette, gutkha, pan masala, etc. related to the trip should be recorded against this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="2800"/>
      </valrng>
      <sumStat type="vald">
        16389
      </sumStat>
      <sumStat type="invd">
        71961
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        2800
      </sumStat>
      <sumStat type="mean">
        26.05
      </sumStat>
      <sumStat type="stdev">
        52.229
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V291" name="B6_1_q7d" files="F8" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="69" width="5" RecSegNo="1"/>
      <labl>
        Alcohol (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on alcohol in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This item includes expenditure incurred on all kinds of alcoholic drinks like beer, foreign liquors, country liquors, toddy etc.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="10000"/>
      </valrng>
      <sumStat type="vald">
        1971
      </sumStat>
      <sumStat type="invd">
        86379
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10000
      </sumStat>
      <sumStat type="mean">
        143.702
      </sumStat>
      <sumStat type="stdev">
        349.165
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V292" name="B6_1_q7e" files="F8" dcml="0" intrvl="contin">
      <location StartPos="70" EndPos="74" width="5" RecSegNo="1"/>
      <labl>
        Travel related consumer goods (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on travel related consumer goods in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          Expenditure incurred on items like suitcases, trunk, hand bag, other travel goods; spectacles, sunglasses, pen, lock, umbrella, radio, Walkman, torch, batteries, etc.; photographic equipment like film, video cassette, CD, tripod, etc.; sports items, toys, etc. (except footwear) will be covered under this item. Even the expenditure incurred on items of high unit value like cars, computers, etc. related to a trip should be included if those are used for consumption purpose and not for productive purpose.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="12000"/>
      </valrng>
      <sumStat type="vald">
        4106
      </sumStat>
      <sumStat type="invd">
        84244
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12000
      </sumStat>
      <sumStat type="mean">
        142.434
      </sumStat>
      <sumStat type="stdev">
        331.574
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V293" name="B6_1_q7f" files="F8" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="79" width="5" RecSegNo="1"/>
      <labl>
        Footwear (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on footwear in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All types of footwear like rubber footwear, leather footwear, cloth footwear etc. will be covered under this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="65000"/>
      </valrng>
      <sumStat type="vald">
        4951
      </sumStat>
      <sumStat type="invd">
        83399
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        65000
      </sumStat>
      <sumStat type="mean">
        298.172
      </sumStat>
      <sumStat type="stdev">
        1084.777
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V294" name="B6_1_q7g" files="F8" dcml="0" intrvl="contin">
      <location StartPos="80" EndPos="83" width="4" RecSegNo="1"/>
      <labl>
        Toiletries (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on toiletries in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All types of toiletries like toilet soap, washing soap, washing powder, hair oil, shampoo, cosmetics; tooth paste, tooth brush, tooth powder; talcum powder, face cream, deodorants, perfume, etc.; shaving equipments like shaving blade, shaving stick, razor, shaving cream, aftershave lotion, etc. and similar items will be covered under this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="4000"/>
      </valrng>
      <sumStat type="vald">
        7653
      </sumStat>
      <sumStat type="invd">
        80697
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4000
      </sumStat>
      <sumStat type="mean">
        59.218
      </sumStat>
      <sumStat type="stdev">
        116.368
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V295" name="B6_1_q7h" files="F8" dcml="0" intrvl="contin">
      <location StartPos="84" EndPos="89" width="6" RecSegNo="1"/>
      <labl>
        Gems &amp; jewellery (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on gems &amp; jewellery in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All expenses on gems and on jewellery, irrespective of their unit cost, incurred for the trip are to be covered here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="250000"/>
      </valrng>
      <sumStat type="vald">
        2264
      </sumStat>
      <sumStat type="invd">
        86086
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        250000
      </sumStat>
      <sumStat type="mean">
        1537.508
      </sumStat>
      <sumStat type="stdev">
        7781.697
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V296" name="B6_1_q7i" files="F8" dcml="0" intrvl="contin">
      <location StartPos="90" EndPos="94" width="5" RecSegNo="1"/>
      <labl>
        Books / journals/ magazines etc. (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on books/journals/magazines etc. in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          Expenditure on books, magazines, newspaper, library and other stationery purchased for the trip is to be recorded here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="42000"/>
      </valrng>
      <sumStat type="vald">
        7201
      </sumStat>
      <sumStat type="invd">
        81149
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        42000
      </sumStat>
      <sumStat type="mean">
        91.148
      </sumStat>
      <sumStat type="stdev">
        608.173
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V297" name="B6_1_q7j" files="F8" dcml="0" intrvl="contin">
      <location StartPos="95" EndPos="99" width="5" RecSegNo="1"/>
      <labl>
        Others (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on shopping not mentioned elsewhere in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All expenses on shopping not mentioned in the items 7.01 to 7.11 will come under this item. For example, expenditure on items like souvenirs, handicrafts, memento, etc. will be covered here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="90000"/>
      </valrng>
      <sumStat type="vald">
        33208
      </sumStat>
      <sumStat type="invd">
        55142
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90000
      </sumStat>
      <sumStat type="mean">
        181.604
      </sumStat>
      <sumStat type="stdev">
        1259.92
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V298" name="B6_1_q7T" files="F8" dcml="0" intrvl="contin">
      <location StartPos="100" EndPos="105" width="6" RecSegNo="1"/>
      <labl><![CDATA[Sub-total  (shopping : non-package component in Rs.)]]></labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="300000"/>
      </valrng>
      <sumStat type="vald">
        69070
      </sumStat>
      <sumStat type="invd">
        19280
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        300000
      </sumStat>
      <sumStat type="mean">
        445.601
      </sumStat>
      <sumStat type="stdev">
        2637.803
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes>
        The total of all entries in 7.01 to 7.19 is recorded against this item.
      </notes>
    </var>
    <var ID="V299" name="NSS" files="F8" intrvl="discrete">
      <location StartPos="106" EndPos="107" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V300" name="NSC" files="F8" intrvl="discrete">
      <location StartPos="108" EndPos="110" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V301" name="MLT" files="F8" dcml="0" intrvl="contin">
      <location StartPos="111" EndPos="118" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="15967600"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        15967600
      </sumStat>
      <sumStat type="mean">
        122645.279
      </sumStat>
      <sumStat type="stdev">
        257013.639
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V304" name="Wgt_SubSample" wgt="wgt" files="F8" dcml="2" intrvl="contin">
      <location StartPos="119" EndPos="127" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="159676"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        159676
      </sumStat>
      <sumStat type="mean">
        1226.453
      </sumStat>
      <sumStat type="stdev">
        2570.136
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V305" name="Wgt_Combined" wgt="wgt" files="F8" dcml="2" intrvl="contin">
      <location StartPos="128" EndPos="135" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="79838"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        79838
      </sumStat>
      <sumStat type="mean">
        613.226
      </sumStat>
      <sumStat type="stdev">
        1285.068
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V336" name="HHID" files="F9" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V306" name="Centre_Rnd_SubFolder" files="F9" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V307" name="FSU_srl_no" files="F9" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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="V308" name="Round" files="F9" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V309" name="Sch_no" files="F9" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V310" name="Sample" files="F9" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V311" name="Sector" files="F9" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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">
          55824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          32526
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V312" name="State_Region" files="F9" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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="V337" name="State" files="F9" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          2024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          4144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          11195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          3439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          861
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          6795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          3255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          4962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          3468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          7681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          5513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          3842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          5204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          279
        </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="V313" name="District" files="F9" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V314" name="Stratum" files="F9" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V315" name="Sub_Stratum" files="F9" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32515
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V316" name="Sub_Round" files="F9" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          22811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          22113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          21708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          21718
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V317" name="Sub_Sample" files="F9" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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">
          44340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          44010
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V318" name="FOD_SubRegion" files="F9" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V319" name="HG_SubBlk_No" files="F9" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V320" name="Second_Stratum" files="F9" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V321" name="Hhold_No" files="F9" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V322" name="Level" files="F9" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          09
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V323" name="B6_1_q1" files="F9" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Trip serial no.
      </labl>
      <qstn>
        <ivuInstr>
          The serial number of trip as provided in Column 1 of Block 5.1 is to be copied against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V324" name="B6_1_q8a" files="F9" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="54" width="5" RecSegNo="1"/>
      <labl>
        Cinema, theatre, amusement, etc. (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on cinema, theatre, amusements, etc. in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes entry fees and all other incidental expenditure like tips, joyrides, etc. incurred during a trip on cinema, theatre, amusement park, juggling show, magic show, circus etc.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="17000"/>
      </valrng>
      <sumStat type="vald">
        1889
      </sumStat>
      <sumStat type="invd">
        86461
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        17000
      </sumStat>
      <sumStat type="mean">
        142.321
      </sumStat>
      <sumStat type="stdev">
        453.898
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V325" name="B6_1_q8b" files="F9" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="59" width="5" RecSegNo="1"/>
      <labl>
        Expenses at religious sites (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on entry fee to and other expenses for religious sites in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes darshan fees, dakshina for priests, expenditure on offerings, etc. It does not include donation to religious trusts, alms, etc. at those religious places.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="12000"/>
      </valrng>
      <sumStat type="vald">
        6383
      </sumStat>
      <sumStat type="invd">
        81967
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12000
      </sumStat>
      <sumStat type="mean">
        180.015
      </sumStat>
      <sumStat type="stdev">
        438.115
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V326" name="B6_1_q8c" files="F9" dcml="0" intrvl="contin">
      <location StartPos="60" EndPos="64" width="5" RecSegNo="1"/>
      <labl><![CDATA[Expenses  at cultural sites (non-package component in Rs.)]]></labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on entry fee to and other expenses for cultural sites in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes entry fees to various archaeological sites, museums, historical places, etc. Expenditure on entry tickets for light and sound shows, etc. at various historical places like Lal Quila, Golkunda Fort, Mysore palace, Victoria Memorial, etc. will also be covered.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="11000"/>
      </valrng>
      <sumStat type="vald">
        796
      </sumStat>
      <sumStat type="invd">
        87554
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11000
      </sumStat>
      <sumStat type="mean">
        197.201
      </sumStat>
      <sumStat type="stdev">
        658.187
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V327" name="B6_1_q8d" files="F9" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="68" width="4" RecSegNo="1"/>
      <labl>
        Sporting activities (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on sporting activities in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes entry fees or tickets for watching sporting events both outdoor and indoor, like football, cricket, table tennis, etc. Expenditure for participating in adventure sports like para-gliding, rafting, rock climbing etc. is also to be included here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3000"/>
      </valrng>
      <sumStat type="vald">
        226
      </sumStat>
      <sumStat type="invd">
        88124
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000
      </sumStat>
      <sumStat type="mean">
        175.199
      </sumStat>
      <sumStat type="stdev">
        376.553
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V328" name="B6_1_q8e1" files="F9" dcml="0" intrvl="contin">
      <location StartPos="69" EndPos="74" width="6" RecSegNo="1"/>
      <labl>
        Medicine (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on medicines in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All medicines, irrespective of their type - allopathic, homeopathic, ayurvedic, etc. - of regular use or purchased as a precautionary measure for the trip or purchased on advice of medical practitioners during the trip are to be covered.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="200000"/>
      </valrng>
      <sumStat type="vald">
        10009
      </sumStat>
      <sumStat type="invd">
        78341
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        200000
      </sumStat>
      <sumStat type="mean">
        1193.062
      </sumStat>
      <sumStat type="stdev">
        4590.762
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V329" name="B6_1_q8e2" files="F9" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="80" width="6" RecSegNo="1"/>
      <labl>
        Medical accessories (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on medical accessories in terms of Rs.?
        </qstnLit>
        <ivuInstr><![CDATA[Expenditure on all types of medical accessories like knee caps, crutches, slings, bandages, cotton wool, Jaipur foot, spectacles, hearing aid, etc.  made for the trip or during the trip are to be covered here.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="250000"/>
      </valrng>
      <sumStat type="vald">
        2052
      </sumStat>
      <sumStat type="invd">
        86298
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        250000
      </sumStat>
      <sumStat type="mean">
        1684.243
      </sumStat>
      <sumStat type="stdev">
        8700.616
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V330" name="B6_1_q8e3" files="F9" dcml="0" intrvl="contin">
      <location StartPos="81" EndPos="86" width="6" RecSegNo="1"/>
      <labl>
        Other health related services (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What was the non-package component of the trip on other health related services e.g. expenses on medical tests and investigations, inoculation, vaccination, immunisation, health check-up, etc.  in terms of Rs.?]]></qstnLit>
        <ivuInstr><![CDATA[The expenses on medical tests and investigations, inoculation, vaccination, immunisation, health check-up, etc. required for or during the trip are also to be included here Also, during a trip, if a person made expenditure on sauna bath, massaging, steam bath etc. under medical advice then such expenditure should be reported here.  Fees to the doctors or similar services are also to be covered here.


Note: If some expenses is made on services such as  sauna bath, massaging, steam bath etc. taken for personal recreation then those are to be recorded under item 8.1]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="433000"/>
      </valrng>
      <sumStat type="vald">
        5252
      </sumStat>
      <sumStat type="invd">
        83098
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        433000
      </sumStat>
      <sumStat type="mean">
        1900.597
      </sumStat>
      <sumStat type="stdev">
        9715.275
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V331" name="B6_1_q8eT" files="F9" dcml="0" intrvl="contin">
      <location StartPos="87" EndPos="92" width="6" RecSegNo="1"/>
      <labl>
        Sub-total (medical related : non-package component in Rs.)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="494000"/>
      </valrng>
      <sumStat type="vald">
        10286
      </sumStat>
      <sumStat type="invd">
        78064
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        494000
      </sumStat>
      <sumStat type="mean">
        2467.37
      </sumStat>
      <sumStat type="stdev">
        11474.559
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes>
        The total of all entries in 8.5.1 to 8.5.3 is recorded against this item.
      </notes>
    </var>
    <var ID="V332" name="B6_1_q8T" files="F9" dcml="0" intrvl="contin">
      <location StartPos="93" EndPos="98" width="6" RecSegNo="1"/>
      <labl><![CDATA[Sub-total  (recreational etc. : non-package component in Rs.)]]></labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="494000"/>
      </valrng>
      <sumStat type="vald">
        17575
      </sumStat>
      <sumStat type="invd">
        70775
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        494000
      </sumStat>
      <sumStat type="mean">
        1535.921
      </sumStat>
      <sumStat type="stdev">
        8856.624
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes>
        The total of all entries in 8.1 to 8.4 and 8.5.0 is recorded against this item.
      </notes>
    </var>
    <var ID="V333" name="NSS" files="F9" intrvl="discrete">
      <location StartPos="99" EndPos="100" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V334" name="NSC" files="F9" intrvl="discrete">
      <location StartPos="101" EndPos="103" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V335" name="MLT" files="F9" dcml="0" intrvl="contin">
      <location StartPos="104" EndPos="111" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="15967600"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        15967600
      </sumStat>
      <sumStat type="mean">
        122645.279
      </sumStat>
      <sumStat type="stdev">
        257013.639
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V338" name="Wgt_SubSample" wgt="wgt" files="F9" dcml="2" intrvl="contin">
      <location StartPos="112" EndPos="120" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="159676"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        159676
      </sumStat>
      <sumStat type="mean">
        1226.453
      </sumStat>
      <sumStat type="stdev">
        2570.136
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V339" name="Wgt_Combined" wgt="wgt" files="F9" dcml="2" intrvl="contin">
      <location StartPos="121" EndPos="128" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="79838"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        79838
      </sumStat>
      <sumStat type="mean">
        613.226
      </sumStat>
      <sumStat type="stdev">
        1285.068
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V367" name="HHID" files="F10" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V340" name="Centre_Rnd_SubFolder" files="F10" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V341" name="FSU_srl_no" files="F10" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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="V342" name="Round" files="F10" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V343" name="Sch_no" files="F10" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V344" name="Sample" files="F10" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V345" name="Sector" files="F10" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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">
          55824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          32526
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V346" name="State_Region" files="F10" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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="V368" name="State" files="F10" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          2024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          4144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          11195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          3439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          861
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          6795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          3255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          4962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          3468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          7681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          5513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          3842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          5204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          279
        </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="V347" name="District" files="F10" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V348" name="Stratum" files="F10" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V349" name="Sub_Stratum" files="F10" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        32515
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V350" name="Sub_Round" files="F10" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          22811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          22113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          21708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          21718
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V351" name="Sub_Sample" files="F10" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </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">
          44340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          44010
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V352" name="FOD_SubRegion" files="F10" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V353" name="HG_SubBlk_No" files="F10" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V354" name="Second_Stratum" files="F10" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V355" name="Hhold_No" files="F10" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V356" name="Level" files="F10" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          88350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V357" name="B6_1_q1" files="F10" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Trip serial no.
      </labl>
      <qstn>
        <qstnLit>
          Trip serial no.
        </qstnLit>
        <ivuInstr>
          The serial number of trip as provided in Column 1 of Block 5.1 is to be copied against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V358" name="B6_1_q9" files="F10" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="55" width="6" RecSegNo="1"/>
      <labl>
        Others (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on all other expenditure not indicated elsewhere, e.g. payment made to tourist guide, etc.in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All other expenditure not indicated elsewhere, e.g. payment made to tourist guide, etc. will come under this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="150000"/>
      </valrng>
      <sumStat type="vald">
        24901
      </sumStat>
      <sumStat type="invd">
        63449
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        150000
      </sumStat>
      <sumStat type="mean">
        196.284
      </sumStat>
      <sumStat type="stdev">
        1752.938
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V359" name="B6_1_q10" files="F10" dcml="0" intrvl="contin">
      <location StartPos="56" EndPos="61" width="6" RecSegNo="1"/>
      <labl><![CDATA[sub-total  (non-package component in Rs.)]]></labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="2" max="500388"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        500388
      </sumStat>
      <sumStat type="mean">
        1294.489
      </sumStat>
      <sumStat type="stdev">
        5670.31
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes>
        The total of all entries in 4.0, 5.0, 6.0, 7.00, 8.0 and 9 is recorded against this item.
      </notes>
    </var>
    <var ID="V360" name="B6_1_q11" files="F10" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="67" width="6" RecSegNo="1"/>
      <labl><![CDATA[Total  (exp. in Rs.)]]></labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="2" max="500388"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        500388
      </sumStat>
      <sumStat type="mean">
        1326.592
      </sumStat>
      <sumStat type="stdev">
        5762.125
      </sumStat>
      <varFormat type="numeric" schema="other"/>
      <notes>
        The total of entries in 3 and 10 is recorded against this item.
      </notes>
    </var>
    <var ID="V361" name="B6_1_q12" files="F10" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Reimbursement made by institution
      </labl>
      <qstn>
        <qstnLit>
          Whether any reimbursement/direct payment made by any institution?
        </qstnLit>
        <ivuInstr><![CDATA[Expenditure on a particular trip may be partially or fully reimbursed or directly paid by Government or by some other agency. Examples are LTC /LTA given in Government, private organisations, banks, insurance companies like LIC, GIC, and travelling fares and accommodation costs defrayed by organisers of seminars, conferences, etc. Such amounts that are directly paid or reimbursed should be reported under the items 13 and 14. If the amount paid or reimbursed is more than that was actually spent then the amount actually spent will be reported here. The codes are:

Yes and amount known -1, 
Yes and amount not known -2, 
No -3]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        88227
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes and amount known
        </labl>
        <catStat type="freq">
          809
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          yes and amount not known
        </labl>
        <catStat type="freq">
          1292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          86126
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V362" name="B6_1_q13" files="F10" dcml="0" intrvl="contin">
      <location StartPos="69" EndPos="74" width="6" RecSegNo="1"/>
      <labl>
        Amount reimbursed by government (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount got reimbursed by government (Rs.)?
        </qstnLit>
        <ivuInstr>
          If any reimbursement/ payment is made by any Government organisation (Central Government or State Government or Local Bodies like Zilla Parishad, Municipal Corporations, Panchayats, etc.) for a trip undertaken by the household member(s), then the amount of reimbursement/ payment made is to be reported here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="275500"/>
      </valrng>
      <sumStat type="vald">
        436
      </sumStat>
      <sumStat type="invd">
        87914
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        275500
      </sumStat>
      <sumStat type="mean">
        5284.686
      </sumStat>
      <sumStat type="stdev">
        19199.185
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V363" name="B6_1_q14" files="F10" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="80" width="6" RecSegNo="1"/>
      <labl>
        Amount reimbursed by other agency (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount got reimbursed by other agency (Rs.)?
        </qstnLit>
        <ivuInstr><![CDATA[If any reimbursement/ payment is made by any other organisation like International Bodies, Public Sector Undertakings, Universities, NGOs etc. or by any private organisation, the amount of reimbursement/ payment made is to be reported here.

Note:	If no break-up of the expenditure is available then remarks/comments for not getting such information should be recorded in detail in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="200000"/>
      </valrng>
      <sumStat type="vald">
        394
      </sumStat>
      <sumStat type="invd">
        87956
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        200000
      </sumStat>
      <sumStat type="mean">
        4655.528
      </sumStat>
      <sumStat type="stdev">
        12924.071
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V364" name="NSS" files="F10" intrvl="discrete">
      <location StartPos="81" EndPos="82" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V365" name="NSC" files="F10" intrvl="discrete">
      <location StartPos="83" EndPos="85" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V366" name="MLT" files="F10" dcml="0" intrvl="contin">
      <location StartPos="86" EndPos="93" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="15967600"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        15967600
      </sumStat>
      <sumStat type="mean">
        122645.279
      </sumStat>
      <sumStat type="stdev">
        257013.639
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V369" name="Wgt_SubSample" wgt="wgt" files="F10" dcml="2" intrvl="contin">
      <location StartPos="94" EndPos="102" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="159676"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        159676
      </sumStat>
      <sumStat type="mean">
        1226.453
      </sumStat>
      <sumStat type="stdev">
        2570.136
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V370" name="Wgt_Combined" wgt="wgt" files="F10" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="110" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="79838"/>
      </valrng>
      <sumStat type="vald">
        88350
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        79838
      </sumStat>
      <sumStat type="mean">
        613.226
      </sumStat>
      <sumStat type="stdev">
        1285.068
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V400" name="HHID" files="F11" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V371" name="Centre_Rnd_SubFolder" files="F11" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V372" name="FSU_srl_no" files="F11" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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="V373" name="Round" files="F11" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V374" name="Sch_no" files="F11" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V375" name="Sample" files="F11" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V376" name="Sector" files="F11" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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">
          48253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          19952
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V377" name="State_Region" files="F11" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V401" name="State" files="F11" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          1485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          2960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          7992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          2836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          1361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          5516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          3066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          3785
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          2577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          4782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          4082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          2758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          4507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          244
        </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="V378" name="District" files="F11" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V379" name="Stratum" files="F11" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V380" name="Sub_Stratum" files="F11" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        19945
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V381" name="Sub_Round" files="F11" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          17834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          17137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          16910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          16324
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V382" name="Sub_Sample" files="F11" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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">
          33985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          34220
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V383" name="FOD_SubRegion" files="F11" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V384" name="HG_SubBlk_No" files="F11" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V385" name="Second_Stratum" files="F11" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V386" name="Hhold_No" files="F11" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V387" name="Level" files="F11" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V388" name="B6_2_q2" files="F11" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Type of trip
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V389" name="B6_2_q3" files="F11" dcml="0" intrvl="contin">
      <location StartPos="49" EndPos="53" width="5" RecSegNo="1"/>
      <labl>
        Package component (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the package component of the trip in terms of Rs.?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="17000"/>
      </valrng>
      <sumStat type="vald">
        5392
      </sumStat>
      <sumStat type="invd">
        62813
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        17000
      </sumStat>
      <sumStat type="mean">
        25.294
      </sumStat>
      <sumStat type="stdev">
        348.28
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V390" name="B6_2_q4a" files="F11" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="59" width="6" RecSegNo="1"/>
      <labl>
        Hotel (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on hotel stay in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          A hotel is an establishment that provides paid lodging, usually on a short-term basis. At times, hotels provide a number of additional guest services such as a restaurant, a swimming pool, childcare, etc. Operationally, if the respondent claims that he/she stayed in a hotel, expenditure on such stay should be recorded against this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="110000"/>
      </valrng>
      <sumStat type="vald">
        186
      </sumStat>
      <sumStat type="invd">
        68019
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        110000
      </sumStat>
      <sumStat type="mean">
        766.828
      </sumStat>
      <sumStat type="stdev">
        8058.208
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V391" name="B6_2_q4b" files="F11" dcml="0" intrvl="contin">
      <location StartPos="60" EndPos="63" width="4" RecSegNo="1"/>
      <labl>
        Private guest house (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on private guest house stay in terms of Rs.?
        </qstnLit>
        <ivuInstr><![CDATA[These are the accommodation units owned and managed by private entrepreneurs/ bodies.  Examples are Youth Hostels run by YMCA, YWCA, Guest Houses run by NGOs, Holiday Homes of banks and insurance companies managed by their recreation clubs, etc. Expenditure on such accommodation will come under this item.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="2500"/>
      </valrng>
      <sumStat type="vald">
        18
      </sumStat>
      <sumStat type="invd">
        68187
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V392" name="B6_2_q4c" files="F11" dcml="0" intrvl="contin">
      <location StartPos="64" EndPos="66" width="3" RecSegNo="1"/>
      <labl>
        Govt. guest house (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on govt. guest house stay in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          These are the accommodation units owned and managed by Central or State Governments/ local bodies. Examples are circuit houses, Panchayat Bhavans, different state guest houses like Andhra Bhavan, Maharashtra Bhavan, etc. in Delhi, Nizam Palace in Kolkata, Government Youth Hostels, etc. Expenditure on such accommodation will come under this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="800"/>
      </valrng>
      <sumStat type="vald">
        11
      </sumStat>
      <sumStat type="invd">
        68194
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V393" name="B6_2_q4d" files="F11" dcml="0" intrvl="contin">
      <location StartPos="67" EndPos="69" width="3" RecSegNo="1"/>
      <labl>
        Dharamshala (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on dharamshala stay in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          A Dharamshala is a rest house usually for accommodation of visitors during their pilgrimage. It is generally a dormitory for pilgrims located near religious places. Accommodation may be free or at some charge. Expenditure on such accommodation should come under this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="940"/>
      </valrng>
      <sumStat type="vald">
        58
      </sumStat>
      <sumStat type="invd">
        68147
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V394" name="B6_2_q4e" files="F11" dcml="0" intrvl="contin">
      <location StartPos="70" EndPos="73" width="4" RecSegNo="1"/>
      <labl>
        Rented house (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on rented house stay in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          If any part or whole of any residential unit, owned solely or jointly by an individual or a group of individuals, is rented to tourists then the expenditure towards that type of accommodation will come under this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1500"/>
      </valrng>
      <sumStat type="vald">
        7
      </sumStat>
      <sumStat type="invd">
        68198
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V395" name="B6_2_q4f" files="F11" dcml="0" intrvl="contin">
      <location StartPos="74" EndPos="77" width="4" RecSegNo="1"/>
      <labl>
        Others (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What was the non-package component of the trip on all other types of accommodation  in terms of Rs.?]]></qstnLit>
        <ivuInstr><![CDATA[Amount spent on all other types of accommodation except on those mentioned in items 4.1 to 4.6 will come under this item. Examples are carriages/coaches, tents, second /vacation homes, etc. For each household, there is a dwelling that is considered as its primary home and whose location defines the usual place of residence for the members of this household. All other dwellings for this household are to be considered as second/vacation homes. Sometimes expenditure on accommodation may not be available separately in cases of carriages/coaches, which is generally included in the cost of transportation itself.  For example, railway reservation charge is included in the fare as reservation charge for night journey.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3000"/>
      </valrng>
      <sumStat type="vald">
        129
      </sumStat>
      <sumStat type="invd">
        68076
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000
      </sumStat>
      <sumStat type="mean">
        225.659
      </sumStat>
      <sumStat type="stdev">
        363.182
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V396" name="B6_2_q4T" files="F11" dcml="0" intrvl="contin">
      <location StartPos="78" EndPos="83" width="6" RecSegNo="1"/>
      <labl>
        Sub-total (accomodation : non-package component in Rs.)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="110000"/>
      </valrng>
      <sumStat type="vald">
        476
      </sumStat>
      <sumStat type="invd">
        67729
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        110000
      </sumStat>
      <sumStat type="mean">
        401.676
      </sumStat>
      <sumStat type="stdev">
        5045.661
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V397" name="NSS" files="F11" intrvl="discrete">
      <location StartPos="84" EndPos="85" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V398" name="NSC" files="F11" intrvl="discrete">
      <location StartPos="86" EndPos="88" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V399" name="MLT" files="F11" dcml="0" intrvl="contin">
      <location StartPos="89" EndPos="96" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="13600275"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        13600275
      </sumStat>
      <sumStat type="mean">
        200763.079
      </sumStat>
      <sumStat type="stdev">
        356931.782
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V402" name="Wgt_SubSample" wgt="wgt" files="F11" dcml="2" intrvl="contin">
      <location StartPos="97" EndPos="105" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="136002.75"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        136002.75
      </sumStat>
      <sumStat type="mean">
        2007.631
      </sumStat>
      <sumStat type="stdev">
        3569.318
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V403" name="Wgt_Combined" wgt="wgt" files="F11" dcml="2" intrvl="contin">
      <location StartPos="106" EndPos="113" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="68001.375"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        68001.375
      </sumStat>
      <sumStat type="mean">
        1003.815
      </sumStat>
      <sumStat type="stdev">
        1784.659
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V435" name="HHID" files="F12" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V404" name="Centre_Rnd_SubFolder" files="F12" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V405" name="FSU_srl_no" files="F12" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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="V406" name="Round" files="F12" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V407" name="Sch_no" files="F12" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V408" name="Sample" files="F12" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V409" name="Sector" files="F12" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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">
          48253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          19952
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V410" name="State_Region" files="F12" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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="V436" name="State" files="F12" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          1485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          2960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          7992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          2836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          1361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          5516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          3066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          3785
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          2577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          4782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          4082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          2758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          4507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          244
        </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="V411" name="District" files="F12" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V412" name="Stratum" files="F12" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V413" name="Sub_Stratum" files="F12" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        19945
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V414" name="Sub_Round" files="F12" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          17834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          17137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          16910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          16324
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V415" name="Sub_Sample" files="F12" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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">
          33985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          34220
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V416" name="FOD_SubRegion" files="F12" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V417" name="HG_SubBlk_No" files="F12" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V418" name="Second_Stratum" files="F12" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V419" name="Hhold_No" files="F12" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V420" name="Level" files="F12" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V421" name="B6_2_q5a" files="F12" dcml="0" intrvl="contin">
      <location StartPos="48" EndPos="52" width="5" RecSegNo="1"/>
      <labl>
        In the accommodation unit (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on food &amp; drink in the accomodation unit in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes the expenditure incurred on purchase of food and drinks in the accommodation units where the household members stay during the trip.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="26000"/>
      </valrng>
      <sumStat type="vald">
        1867
      </sumStat>
      <sumStat type="invd">
        66338
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        26000
      </sumStat>
      <sumStat type="mean">
        116.59
      </sumStat>
      <sumStat type="stdev">
        639.642
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V422" name="B6_2_q5b" files="F12" dcml="0" intrvl="contin">
      <location StartPos="53" EndPos="56" width="4" RecSegNo="1"/>
      <labl>
        Outside accommodation unit (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on food &amp; drink outside the accomodation unit in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes the expenditure incurred on purchase of food and drinks outside the accommodation units where the household members stay during the trip, or during transit or journey time.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3400"/>
      </valrng>
      <sumStat type="vald">
        40049
      </sumStat>
      <sumStat type="invd">
        28156
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3400
      </sumStat>
      <sumStat type="mean">
        55.782
      </sumStat>
      <sumStat type="stdev">
        96.161
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V423" name="B6_2_q5T" files="F12" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="61" width="5" RecSegNo="1"/>
      <labl>
        Sub-total (food &amp; drink : non-package component in Rs.)
      </labl>
      <valrng>
        <range min="0" max="26000"/>
      </valrng>
      <sumStat type="vald">
        40887
      </sumStat>
      <sumStat type="invd">
        27318
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        26000
      </sumStat>
      <sumStat type="mean">
        59.962
      </sumStat>
      <sumStat type="stdev">
        171.613
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V424" name="B6_2_q6a" files="F12" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="65" width="4" RecSegNo="1"/>
      <labl>
        Railways (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on transport through railways in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All expenditure on railway fare, including super fast charges, reservation charges, tatkal charges, etc. paid to railway authorities is to be recorded against this item. Amount paid to travel agencies, etc., for booking railway tickets is not to be recorded here. This expenditure is to be recorded against item 6.6 of this block. If the travel is made by hired railway coach/carriage/saloon, the cost of such travel should come here. In some places the Railways may provide rail-cum-road services which is included in the total payment to be made to the railway authorities. In such cases, the entire amount paid to the railways should be recorded against this item. Expenditure towards travelling by toy train will come under this category provided it is necessary for travelling; otherwise if it is for joyride, the corresponding expenditure should be recorded against item 8.1 of this block.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="2100"/>
      </valrng>
      <sumStat type="vald">
        3224
      </sumStat>
      <sumStat type="invd">
        64981
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2100
      </sumStat>
      <sumStat type="mean">
        67.248
      </sumStat>
      <sumStat type="stdev">
        119.518
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V425" name="B6_2_q6b" files="F12" dcml="0" intrvl="contin">
      <location StartPos="66" EndPos="70" width="5" RecSegNo="1"/>
      <labl>
        Road (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on transport via road in terms of Rs.?
        </qstnLit>
        <ivuInstr><![CDATA[This includes expenditure on passenger transport by bus services; on own transport by bicycle, two-wheeler, rickshaw, auto rickshaw, car/jeep, tractor/truck, animal driven transport such as horse-carts (tongas), bullock-carts, camel-carts, etc.; on transport by animals like horseback, pony-back, etc.; on transport by humans such as palki (palanquin), doli carriages, dandi, etc., and on other road transport.  Expenditure towards cost of fuel, engagement of drivers, and repair and maintenance of vehicle in case of own transport is also to be included.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="10100"/>
      </valrng>
      <sumStat type="vald">
        51605
      </sumStat>
      <sumStat type="invd">
        16600
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10100
      </sumStat>
      <sumStat type="mean">
        101.292
      </sumStat>
      <sumStat type="stdev">
        209.053
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V426" name="B6_2_q6c" files="F12" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="74" width="4" RecSegNo="1"/>
      <labl>
        Water (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on transport through water in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes expenditure on water transport by ship/steamer/ boat / catamaran, etc., which is necessary for movement. Note that availing oneself of water transport for the purpose of joyride, water sports, river rafting, yachting, water-biking, adventure etc. will not come under this item but will be covered under item 8.1 or item 8.4 of this block, as the case may be.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1000"/>
      </valrng>
      <sumStat type="vald">
        522
      </sumStat>
      <sumStat type="invd">
        67683
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1000
      </sumStat>
      <sumStat type="mean">
        32.534
      </sumStat>
      <sumStat type="stdev">
        80.534
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V427" name="B6_2_q6d" files="F12" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="79" width="5" RecSegNo="1"/>
      <labl>
        Air (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on transport via air in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes expenditure on air transport by flights/helicopter etc. Note that availing air transport for the purpose of adventure sport like ballooning, Para-gliding, Para-sailing etc. will not come under this item. It will come under 'Others' in item 9.All payments made to airlines relating to transport tax, insurance, passenger tax, etc. should be recorded here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="13000"/>
      </valrng>
      <sumStat type="vald">
        21
      </sumStat>
      <sumStat type="invd">
        68184
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V428" name="B6_2_q6e" files="F12" dcml="0" intrvl="contin">
      <location StartPos="80" EndPos="84" width="5" RecSegNo="1"/>
      <labl>
        Transport equipment rental (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on hired road transport in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes expenditure on hired road transport by bicycle, two-wheeler, rickshaw, auto rickshaw, taxi, car/jeep, tractor/truck, animal driven transport such as horse-carts (tongas), bullock-carts, camel-carts, etc. This category excludes expenditure on travel by railways (included in item 6.1), by water (included in item 6.3) and by air (included in item 6.4). This category also excludes expenditure on transport by animal, such as horseback, pony-back, and transport by humans such as palki (palanquin), doli carriages, dandi, etc. (included in item 6.9). The transport equipment must be hired with or without the services of the operator (driver). If it is shared with any other person(s) who is/are not member(s) of the trip, except for the driver and helper, then only the part of the expenditure related to member(s) of the trip should be considered. If the transport equipment is hired without fuel and/or operator services, then expenditure towards cost of fuel, engagement of driver, etc. should be recorded here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="20000"/>
      </valrng>
      <sumStat type="vald">
        17317
      </sumStat>
      <sumStat type="invd">
        50888
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        20000
      </sumStat>
      <sumStat type="mean">
        108.338
      </sumStat>
      <sumStat type="stdev">
        372.339
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V429" name="B6_2_q6f" files="F12" dcml="0" intrvl="contin">
      <location StartPos="85" EndPos="88" width="4" RecSegNo="1"/>
      <labl>
        Travel agency services/ tour operators (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on travel agency services in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          Visitors (or potential visitors), when planning and organizing their trip, often use the services of travel agencies in order to get information on different alternatives and for bookings. The function of these agencies consists mainly of selling the right to use a certain service provided by others at a certain moment in time and within certain conditions. They play the role of providing information and access to the visitor and are the middleman in the purchase of certain services. Tour operators are businesses that combine transport and one or more chargeable travel services (e.g., accommodation, meals, entertainment, sightseeing) and sell them through travel agencies or directly to final consumers as a single product (called a package tour) for a single price. The expenditure incurred for booking of travel services like transport, accommodation, etc. including the commission recognized to travel agencies selling the package tours to the visitors is to be considered here. It may be noted here that the actual cost of travel services should not come here. Only the cost of booking these services through travel agencies/tour operators related to a trip should come here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="6800"/>
      </valrng>
      <sumStat type="vald">
        150
      </sumStat>
      <sumStat type="invd">
        68055
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6800
      </sumStat>
      <sumStat type="mean">
        150.46
      </sumStat>
      <sumStat type="stdev">
        590.189
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V430" name="B6_2_q6g" files="F12" dcml="0" intrvl="contin">
      <location StartPos="89" EndPos="92" width="4" RecSegNo="1"/>
      <labl>
        Others and supporting services (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What was the non-package component of the trip on other supporting services e.g. motorised and non-motorised modes of transport not mentioned elsewhere  in terms of Rs.?]]></qstnLit>
        <ivuInstr>
          This category includes expenditure on other motorised and non-motorised modes of transport not mentioned elsewhere related to a trip like transport by animal like horseback, pony-back, etc; transport by humans such as palki (palanquin), doli carriages, dandi and transport by cable car/ropeway, etc.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="4000"/>
      </valrng>
      <sumStat type="vald">
        1924
      </sumStat>
      <sumStat type="invd">
        66281
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4000
      </sumStat>
      <sumStat type="mean">
        54.008
      </sumStat>
      <sumStat type="stdev">
        165.736
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V431" name="B6_2_q6T" files="F12" dcml="0" intrvl="contin">
      <location StartPos="93" EndPos="97" width="5" RecSegNo="1"/>
      <labl>
        Sub-total (transport : non-package component in Rs.)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="28000"/>
      </valrng>
      <sumStat type="vald">
        61582
      </sumStat>
      <sumStat type="invd">
        6623
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        28000
      </sumStat>
      <sumStat type="mean">
        122.048
      </sumStat>
      <sumStat type="stdev">
        306.967
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V432" name="NSS" files="F12" intrvl="discrete">
      <location StartPos="98" EndPos="99" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V433" name="NSC" files="F12" intrvl="discrete">
      <location StartPos="100" EndPos="102" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V434" name="MLT" files="F12" dcml="0" intrvl="contin">
      <location StartPos="103" EndPos="110" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="13600275"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        13600275
      </sumStat>
      <sumStat type="mean">
        200763.079
      </sumStat>
      <sumStat type="stdev">
        356931.782
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V437" name="Wgt_SubSample" wgt="wgt" files="F12" dcml="2" intrvl="contin">
      <location StartPos="111" EndPos="119" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="136002.75"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        136002.75
      </sumStat>
      <sumStat type="mean">
        2007.631
      </sumStat>
      <sumStat type="stdev">
        3569.318
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V438" name="Wgt_Combined" wgt="wgt" files="F12" dcml="2" intrvl="contin">
      <location StartPos="120" EndPos="127" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="68001.375"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        68001.375
      </sumStat>
      <sumStat type="mean">
        1003.815
      </sumStat>
      <sumStat type="stdev">
        1784.659
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V470" name="HHID" files="F13" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V439" name="Centre_Rnd_SubFolder" files="F13" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V440" name="FSU_srl_no" files="F13" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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="V441" name="Round" files="F13" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V442" name="Sch_no" files="F13" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V443" name="Sample" files="F13" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V444" name="Sector" files="F13" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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">
          48253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          19952
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V445" name="State_Region" files="F13" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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="V471" name="State" files="F13" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          1485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          2960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          7992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          2836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          1361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          5516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          3066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          3785
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          2577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          4782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          4082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          2758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          4507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          244
        </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="V446" name="District" files="F13" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V447" name="Stratum" files="F13" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V448" name="Sub_Stratum" files="F13" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        19945
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V449" name="Sub_Round" files="F13" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          17834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          17137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          16910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          16324
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V450" name="Sub_Sample" files="F13" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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">
          33985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          34220
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V451" name="FOD_SubRegion" files="F13" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V452" name="HG_SubBlk_No" files="F13" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V453" name="Second_Stratum" files="F13" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V454" name="Hhold_No" files="F13" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V455" name="Level" files="F13" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V456" name="B6_2_q7a" files="F13" dcml="0" intrvl="contin">
      <location StartPos="48" EndPos="52" width="5" RecSegNo="1"/>
      <labl>
        Clothing and garments (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on clothing and garments in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes expenditure on clothes, viz. dhoti, sari, chaddar, dupatta, shawl, lungi, etc; readymade garments like shirt, trousers, pyjama, ladies suit, coats etc.; knitted garments like sweater, pullover, cardigan, etc; bed sheet, bed cover, blanket, pillow, quilts etc; socks, gloves, caps, knitting wool, towel and similar items.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="60000"/>
      </valrng>
      <sumStat type="vald">
        12271
      </sumStat>
      <sumStat type="invd">
        55934
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        60000
      </sumStat>
      <sumStat type="mean">
        592.116
      </sumStat>
      <sumStat type="stdev">
        1520.316
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V457" name="B6_2_q7b" files="F13" dcml="0" intrvl="contin">
      <location StartPos="53" EndPos="57" width="5" RecSegNo="1"/>
      <labl>
        Processed food (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on processed food in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This item includes expenditure incurred on tea, coffee, beverages like cold drinks, fruit juices, etc; bakery products like biscuits, cake, pastry, etc.; salted refreshment, prepared sweets, pickle, sauce, jam, jelly etc. and similar items. Items covered here are foods that are not purchased or consumed as regular breakfast, lunch or dinner during the trip (which are to be covered under item 5). However, items purchased during the trip for future consumption are to be covered here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="17000"/>
      </valrng>
      <sumStat type="vald">
        31484
      </sumStat>
      <sumStat type="invd">
        36721
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        17000
      </sumStat>
      <sumStat type="mean">
        82.103
      </sumStat>
      <sumStat type="stdev">
        227.123
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V458" name="B6_2_q7c" files="F13" dcml="0" intrvl="contin">
      <location StartPos="58" EndPos="61" width="4" RecSegNo="1"/>
      <labl>
        Tobacco products (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on tobacco products in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          Expenditure on items like pan, supari, lime, katha, bidi, cigarette, gutkha, pan masala, etc. related to the trip should be recorded against this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="5000"/>
      </valrng>
      <sumStat type="vald">
        14345
      </sumStat>
      <sumStat type="invd">
        53860
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        5000
      </sumStat>
      <sumStat type="mean">
        20.383
      </sumStat>
      <sumStat type="stdev">
        56.234
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V459" name="B6_2_q7d" files="F13" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="65" width="4" RecSegNo="1"/>
      <labl>
        Alcohol (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on alcohol in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This item includes expenditure incurred on all kinds of alcoholic drinks like beer, foreign liquors, country liquors, toddy etc.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="2100"/>
      </valrng>
      <sumStat type="vald">
        1334
      </sumStat>
      <sumStat type="invd">
        66871
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2100
      </sumStat>
      <sumStat type="mean">
        97.202
      </sumStat>
      <sumStat type="stdev">
        144.914
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V460" name="B6_2_q7e" files="F13" dcml="0" intrvl="contin">
      <location StartPos="66" EndPos="70" width="5" RecSegNo="1"/>
      <labl>
        Travel related consumer goods (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on travel related consumer goods in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          Expenditure incurred on items like suitcases, trunk, hand bag, other travel goods; spectacles, sunglasses, pen, lock, umbrella, radio, Walkman, torch, batteries, etc.; photographic equipment like film, video cassette, CD, tripod, etc.; sports items, toys, etc. (except footwear) will be covered under this item. Even the expenditure incurred on items of high unit value like cars, computers, etc. related to a trip should be included if those are used for consumption purpose and not for productive purpose.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="16300"/>
      </valrng>
      <sumStat type="vald">
        1429
      </sumStat>
      <sumStat type="invd">
        66776
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        16300
      </sumStat>
      <sumStat type="mean">
        178.176
      </sumStat>
      <sumStat type="stdev">
        586.375
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V461" name="B6_2_q7f" files="F13" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="75" width="5" RecSegNo="1"/>
      <labl>
        Footwear (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on footwear in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All types of footwear like rubber footwear, leather footwear, cloth footwear etc. will be covered under this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="12500"/>
      </valrng>
      <sumStat type="vald">
        5348
      </sumStat>
      <sumStat type="invd">
        62857
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12500
      </sumStat>
      <sumStat type="mean">
        229.353
      </sumStat>
      <sumStat type="stdev">
        360.574
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V462" name="B6_2_q7g" files="F13" dcml="0" intrvl="contin">
      <location StartPos="76" EndPos="79" width="4" RecSegNo="1"/>
      <labl>
        Toiletries (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on toiletries in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All types of toiletries like toilet soap, washing soap, washing powder, hair oil, shampoo, cosmetics; tooth paste, tooth brush, tooth powder; talcum powder, face cream, deodorants, perfume, etc.; shaving equipments like shaving blade, shaving stick, razor, shaving cream, aftershave lotion, etc. and similar items will be covered under this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3500"/>
      </valrng>
      <sumStat type="vald">
        6366
      </sumStat>
      <sumStat type="invd">
        61839
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3500
      </sumStat>
      <sumStat type="mean">
        84.283
      </sumStat>
      <sumStat type="stdev">
        118.676
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V463" name="B6_2_q7h" files="F13" dcml="0" intrvl="contin">
      <location StartPos="80" EndPos="85" width="6" RecSegNo="1"/>
      <labl>
        Gems &amp; jewellery (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on gems &amp; jewellery in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All expenses on gems and on jewellery, irrespective of their unit cost, incurred for the trip are to be covered here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="120000"/>
      </valrng>
      <sumStat type="vald">
        1256
      </sumStat>
      <sumStat type="invd">
        66949
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        120000
      </sumStat>
      <sumStat type="mean">
        1542.486
      </sumStat>
      <sumStat type="stdev">
        7357.07
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V464" name="B6_2_q7i" files="F13" dcml="0" intrvl="contin">
      <location StartPos="86" EndPos="90" width="5" RecSegNo="1"/>
      <labl>
        Books / journals/ magazines etc. (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on books/journals/magazines etc. in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          Expenditure on books, magazines, newspaper, library and other stationery purchased for the trip is to be recorded here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="25150"/>
      </valrng>
      <sumStat type="vald">
        5025
      </sumStat>
      <sumStat type="invd">
        63180
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        25150
      </sumStat>
      <sumStat type="mean">
        125.289
      </sumStat>
      <sumStat type="stdev">
        507.711
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V465" name="B6_2_q7j" files="F13" dcml="0" intrvl="contin">
      <location StartPos="91" EndPos="96" width="6" RecSegNo="1"/>
      <labl>
        Others (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on shopping not mentioned elsewhere in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All expenses on shopping not mentioned in the items 7.01 to 7.11 will come under this item. For example, expenditure on items like souvenirs, handicrafts, memento, etc. will be covered here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="167200"/>
      </valrng>
      <sumStat type="vald">
        26171
      </sumStat>
      <sumStat type="invd">
        42034
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        167200
      </sumStat>
      <sumStat type="mean">
        225.341
      </sumStat>
      <sumStat type="stdev">
        2005.404
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V466" name="B6_2_q7T" files="F13" dcml="0" intrvl="contin">
      <location StartPos="97" EndPos="102" width="6" RecSegNo="1"/>
      <labl><![CDATA[Sub-total  (shopping : non-package component in Rs.)]]></labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="265000"/>
      </valrng>
      <sumStat type="vald">
        49800
      </sumStat>
      <sumStat type="invd">
        18405
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        265000
      </sumStat>
      <sumStat type="mean">
        416.766
      </sumStat>
      <sumStat type="stdev">
        2493.15
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V467" name="NSS" files="F13" intrvl="discrete">
      <location StartPos="103" EndPos="104" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V468" name="NSC" files="F13" intrvl="discrete">
      <location StartPos="105" EndPos="107" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V469" name="MLT" files="F13" dcml="0" intrvl="contin">
      <location StartPos="108" EndPos="115" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="13600275"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        13600275
      </sumStat>
      <sumStat type="mean">
        200763.079
      </sumStat>
      <sumStat type="stdev">
        356931.782
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V472" name="Wgt_SubSample" wgt="wgt" files="F13" dcml="2" intrvl="contin">
      <location StartPos="116" EndPos="124" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="136002.75"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        136002.75
      </sumStat>
      <sumStat type="mean">
        2007.631
      </sumStat>
      <sumStat type="stdev">
        3569.318
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V473" name="Wgt_Combined" wgt="wgt" files="F13" dcml="2" intrvl="contin">
      <location StartPos="125" EndPos="132" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="68001.375"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        68001.375
      </sumStat>
      <sumStat type="mean">
        1003.815
      </sumStat>
      <sumStat type="stdev">
        1784.659
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V503" name="HHID" files="F14" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V474" name="Centre_Rnd_SubFolder" files="F14" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V475" name="FSU_srl_no" files="F14" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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="V476" name="Round" files="F14" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V477" name="Sch_no" files="F14" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V478" name="Sample" files="F14" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V479" name="Sector" files="F14" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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">
          48253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          19952
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V480" name="State_Region" files="F14" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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="V504" name="State" files="F14" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          1485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          2960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          7992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          2836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          1361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          5516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          3066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          3785
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          2577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          4782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          4082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          2758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          4507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          244
        </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="V481" name="District" files="F14" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V482" name="Stratum" files="F14" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V483" name="Sub_Stratum" files="F14" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        19945
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V484" name="Sub_Round" files="F14" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          17834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          17137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          16910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          16324
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V485" name="Sub_Sample" files="F14" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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">
          33985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          34220
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V486" name="FOD_SubRegion" files="F14" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V487" name="HG_SubBlk_No" files="F14" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V488" name="Second_Stratum" files="F14" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V489" name="Hhold_No" files="F14" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V490" name="Level" files="F14" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V491" name="B6_2_q8a" files="F14" dcml="0" intrvl="contin">
      <location StartPos="48" EndPos="51" width="4" RecSegNo="1"/>
      <labl>
        Cinema, theatre, amusement, etc. (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on cinema, theatre, amusements, etc. in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes entry fees and all other incidental expenditure like tips, joyrides, etc. incurred during a trip on cinema, theatre, amusement park, juggling show, magic show, circus etc.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="2750"/>
      </valrng>
      <sumStat type="vald">
        1254
      </sumStat>
      <sumStat type="invd">
        66951
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2750
      </sumStat>
      <sumStat type="mean">
        83.909
      </sumStat>
      <sumStat type="stdev">
        162.281
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V492" name="B6_2_q8b" files="F14" dcml="0" intrvl="contin">
      <location StartPos="52" EndPos="56" width="5" RecSegNo="1"/>
      <labl>
        Expenses at religious sites (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on entry fee to and other expenses for religious sites in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes darshan fees, dakshina for priests, expenditure on offerings, etc. It does not include donation to religious trusts, alms, etc. at those religious places.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="10000"/>
      </valrng>
      <sumStat type="vald">
        4417
      </sumStat>
      <sumStat type="invd">
        63788
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10000
      </sumStat>
      <sumStat type="mean">
        94.673
      </sumStat>
      <sumStat type="stdev">
        221.173
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V493" name="B6_2_q8c" files="F14" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="61" width="5" RecSegNo="1"/>
      <labl><![CDATA[Expenses  at cultural sites (non-package component in Rs.)]]></labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on entry fee to and other expenses for cultural sites in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes entry fees to various archaeological sites, museums, historical places, etc. Expenditure on entry tickets for light and sound shows, etc. at various historical places like Lal Quila, Golkunda Fort, Mysore palace, Victoria Memorial, etc. will also be covered.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="22000"/>
      </valrng>
      <sumStat type="vald">
        320
      </sumStat>
      <sumStat type="invd">
        67885
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        22000
      </sumStat>
      <sumStat type="mean">
        178.481
      </sumStat>
      <sumStat type="stdev">
        1242.96
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V494" name="B6_2_q8d" files="F14" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="65" width="4" RecSegNo="1"/>
      <labl>
        Sporting activities (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on sporting activities in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          This includes entry fees or tickets for watching sporting events both outdoor and indoor, like football, cricket, table tennis, etc. Expenditure for participating in adventure sports like para-gliding, rafting, rock climbing etc. is also to be included here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1800"/>
      </valrng>
      <sumStat type="vald">
        142
      </sumStat>
      <sumStat type="invd">
        68063
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1800
      </sumStat>
      <sumStat type="mean">
        170.725
      </sumStat>
      <sumStat type="stdev">
        329.61
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V495" name="B6_2_q8e1" files="F14" dcml="0" intrvl="contin">
      <location StartPos="66" EndPos="70" width="5" RecSegNo="1"/>
      <labl>
        Medicine (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on medicines in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All medicines, irrespective of their type - allopathic, homeopathic, ayurvedic, etc. - of regular use or purchased as a precautionary measure for the trip or purchased on advice of medical practitioners during the trip are to be covered.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="20000"/>
      </valrng>
      <sumStat type="vald">
        13974
      </sumStat>
      <sumStat type="invd">
        54231
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        20000
      </sumStat>
      <sumStat type="mean">
        324.78
      </sumStat>
      <sumStat type="stdev">
        619.11
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V496" name="B6_2_q8e2" files="F14" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="75" width="5" RecSegNo="1"/>
      <labl>
        Medical accessories (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on medical accessories in terms of Rs.?
        </qstnLit>
        <ivuInstr><![CDATA[Expenditure on all types of medical accessories like knee caps, crutches, slings, bandages, cotton wool, Jaipur foot, spectacles, hearing aid, etc.  made for the trip or during the trip are to be covered here.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="10000"/>
      </valrng>
      <sumStat type="vald">
        1384
      </sumStat>
      <sumStat type="invd">
        66821
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10000
      </sumStat>
      <sumStat type="mean">
        200.799
      </sumStat>
      <sumStat type="stdev">
        464.825
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V497" name="B6_2_q8e3" files="F14" dcml="0" intrvl="contin">
      <location StartPos="76" EndPos="80" width="5" RecSegNo="1"/>
      <labl>
        Other health related services (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What was the non-package component of the trip on other health related services e.g. expenses on medical tests and investigations, inoculation, vaccination, immunisation, health check-up, etc.  in terms of Rs.?]]></qstnLit>
        <ivuInstr><![CDATA[The expenses on medical tests and investigations, inoculation, vaccination, immunisation, health check-up, etc. required for or during the trip are also to be included here Also, during a trip, if a person made expenditure on sauna bath, massaging, steam bath etc. under medical advice then such expenditure should be reported here.  Fees to the doctors or similar services are also to be covered here.


Note: If some expenses is made on services such as  sauna bath, massaging, steam bath etc. taken for personal recreation then those are to be recorded under item 8.1]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="16000"/>
      </valrng>
      <sumStat type="vald">
        8124
      </sumStat>
      <sumStat type="invd">
        60081
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        16000
      </sumStat>
      <sumStat type="mean">
        174.829
      </sumStat>
      <sumStat type="stdev">
        517.753
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V498" name="B6_2_q8eT" files="F14" dcml="0" intrvl="contin">
      <location StartPos="81" EndPos="85" width="5" RecSegNo="1"/>
      <labl>
        Sub-total (medical related : non-package component in Rs.)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="30000"/>
      </valrng>
      <sumStat type="vald">
        14327
      </sumStat>
      <sumStat type="invd">
        53878
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30000
      </sumStat>
      <sumStat type="mean">
        435.31
      </sumStat>
      <sumStat type="stdev">
        881.743
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V499" name="B6_2_q8T" files="F14" dcml="0" intrvl="contin">
      <location StartPos="86" EndPos="90" width="5" RecSegNo="1"/>
      <labl><![CDATA[Sub-total  (recreational etc. : non-package component in Rs.)]]></labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="30000"/>
      </valrng>
      <sumStat type="vald">
        19609
      </sumStat>
      <sumStat type="invd">
        48596
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30000
      </sumStat>
      <sumStat type="mean">
        348.893
      </sumStat>
      <sumStat type="stdev">
        793.487
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V500" name="NSS" files="F14" intrvl="discrete">
      <location StartPos="91" EndPos="92" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V501" name="NSC" files="F14" intrvl="discrete">
      <location StartPos="93" EndPos="95" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V502" name="MLT" files="F14" dcml="0" intrvl="contin">
      <location StartPos="96" EndPos="103" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="13600275"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        13600275
      </sumStat>
      <sumStat type="mean">
        200763.079
      </sumStat>
      <sumStat type="stdev">
        356931.782
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V505" name="Wgt_SubSample" wgt="wgt" files="F14" dcml="2" intrvl="contin">
      <location StartPos="104" EndPos="112" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="136002.75"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        136002.75
      </sumStat>
      <sumStat type="mean">
        2007.631
      </sumStat>
      <sumStat type="stdev">
        3569.318
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V506" name="Wgt_Combined" wgt="wgt" files="F14" dcml="2" intrvl="contin">
      <location StartPos="113" EndPos="120" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="68001.375"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        68001.375
      </sumStat>
      <sumStat type="mean">
        1003.815
      </sumStat>
      <sumStat type="stdev">
        1784.659
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

Wgt_Combined = MLT/200]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V533" name="HHID" files="F15" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining FSU Serial number, Hamlet Group / Sub Block No., second stage stratum and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V507" name="Centre_Rnd_SubFolder" files="F15" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre, Round &amp; subfolder
      </labl>
      <qstn>
        <qstnLit>
          Centre, Round &amp; subfolder
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V508" name="FSU_srl_no" files="F15" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial number
      </labl>
      <qstn>
        <qstnLit>
          FSU Serial number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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="V509" name="Round" files="F15" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <qstn>
        <qstnLit>
          Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V510" name="Sch_no" files="F15" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <qstn>
        <qstnLit>
          Schedule Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          211
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V511" name="Sample" files="F15" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V512" name="Sector" files="F15" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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">
          48253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          19952
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V513" name="State_Region" files="F15" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <qstnLit>
          State Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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="V534" name="State" files="F15" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          1485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttarakhand
        </labl>
        <catStat type="freq">
          526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          2960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          7992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          2836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          1361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          5516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          3066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          3785
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
        <catStat type="freq">
          2577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          4782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          4082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          2758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          4507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          244
        </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="V514" name="District" files="F15" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <qstnLit>
          District
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V515" name="Stratum" files="F15" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V516" name="Sub_Stratum" files="F15" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum (urban only)
      </labl>
      <qstn>
        <qstnLit>
          Sub-Stratum (urban only)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        19945
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V517" name="Sub_Round" files="F15" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <qstnLit>
          Sub-Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub - Round 1
        </labl>
        <catStat type="freq">
          17834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub - Round 2
        </labl>
        <catStat type="freq">
          17137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub - Round 3
        </labl>
        <catStat type="freq">
          16910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub - Round 4
        </labl>
        <catStat type="freq">
          16324
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V518" name="Sub_Sample" files="F15" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub-Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </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">
          33985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          34220
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V519" name="FOD_SubRegion" files="F15" intrvl="discrete">
      <location StartPos="38" EndPos="41" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <qstn>
        <qstnLit>
          FOD Sub-Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V520" name="HG_SubBlk_No" files="F15" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Hamlet Group / Sub Block No.
      </labl>
      <qstn>
        <qstnLit>
          Hamlet Group / Sub Block No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V521" name="Second_Stratum" files="F15" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum no.
      </labl>
      <qstn>
        <qstnLit>
          Second Stage Stratum no.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V522" name="Hhold_No" files="F15" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V523" name="Level" files="F15" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          68205
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V524" name="B6_2_q9" files="F15" dcml="0" intrvl="contin">
      <location StartPos="48" EndPos="52" width="5" RecSegNo="1"/>
      <labl>
        Others (non-package component in Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What was the non-package component of the trip on all other expenditure not indicated elsewhere, e.g. payment made to tourist guide, etc.in terms of Rs.?
        </qstnLit>
        <ivuInstr>
          All other expenditure not indicated elsewhere, e.g. payment made to tourist guide, etc. will come under this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="51000"/>
      </valrng>
      <sumStat type="vald">
        15888
      </sumStat>
      <sumStat type="invd">
        52317
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        51000
      </sumStat>
      <sumStat type="mean">
        107.745
      </sumStat>
      <sumStat type="stdev">
        559.983
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V525" name="B6_2_q10" files="F15" dcml="0" intrvl="contin">
      <location StartPos="53" EndPos="58" width="6" RecSegNo="1"/>
      <labl><![CDATA[Sub-total  (non-package component in Rs.)]]></labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="265000"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        265000
      </sumStat>
      <sumStat type="mean">
        575.851
      </sumStat>
      <sumStat type="stdev">
        2343.944
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V526" name="B6_2_q11" files="F15" dcml="0" intrvl="contin">
      <location StartPos="59" EndPos="64" width="6" RecSegNo="1"/>
      <labl><![CDATA[Total  (exp. in Rs.)]]></labl>
      <qstn>
        <ivuInstr><![CDATA[(i) all expenditure paid or payable by the selected household in connection with the trip except those to be used / intended to be used for productive purposes/enterprises are to be included in this block.
(ii) if  the expenditure or break-up of  the expenditure cannot be reported for any trip, detailed remarks and comments should be recorded in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="265000"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        265000
      </sumStat>
      <sumStat type="mean">
        577.85
      </sumStat>
      <sumStat type="stdev">
        2354.471
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V527" name="B6_2_q12" files="F15" intrvl="discrete">
      <location StartPos="65" EndPos="65" width="1" RecSegNo="1"/>
      <labl>
        Reimbursement made by institution
      </labl>
      <qstn>
        <qstnLit>
          Whether any reimbursement/direct payment made by any institution?
        </qstnLit>
        <ivuInstr><![CDATA[Expenditure on a particular trip may be partially or fully reimbursed or directly paid by Government or by some other agency. Examples are LTC /LTA given in Government, private organisations, banks, insurance companies like LIC, GIC, and travelling fares and accommodation costs defrayed by organisers of seminars, conferences, etc. Such amounts that are directly paid or reimbursed should be reported under the items 13 and 14. If the amount paid or reimbursed is more than that was actually spent then the amount actually spent will be reported here. The codes are:

Yes and amount known -1, 
Yes and amount not known -2, 
No -3]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        68096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes and amount known
        </labl>
        <catStat type="freq">
          285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          yes and amount not known
        </labl>
        <catStat type="freq">
          874
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          66937
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V528" name="B6_2_q13" files="F15" dcml="0" intrvl="contin">
      <location StartPos="66" EndPos="70" width="5" RecSegNo="1"/>
      <labl>
        Amount reimbursed by government (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount got reimbursed by government (Rs.)?
        </qstnLit>
        <ivuInstr>
          If any reimbursement/ payment is made by any Government organisation (Central Government or State Government or Local Bodies like Zilla Parishad, Municipal Corporations, Panchayats, etc.) for a trip undertaken by the household member(s), then the amount of reimbursement/ payment made is to be reported here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="19500"/>
      </valrng>
      <sumStat type="vald">
        144
      </sumStat>
      <sumStat type="invd">
        68061
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        19500
      </sumStat>
      <sumStat type="mean">
        510.569
      </sumStat>
      <sumStat type="stdev">
        1813.348
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V529" name="B6_2_q14" files="F15" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="75" width="5" RecSegNo="1"/>
      <labl>
        Amount reimbursed by other agency (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount got reimbursed by other agency (Rs.)?
        </qstnLit>
        <ivuInstr><![CDATA[If any reimbursement/ payment is made by any other organisation like International Bodies, Public Sector Undertakings, Universities, NGOs etc. or by any private organisation, the amount of reimbursement/ payment made is to be reported here.

Note:	If no break-up of the expenditure is available then remarks/comments for not getting such information should be recorded in detail in Blocks 7, 8 & 9 respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="14600"/>
      </valrng>
      <sumStat type="vald">
        162
      </sumStat>
      <sumStat type="invd">
        68043
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        14600
      </sumStat>
      <sumStat type="mean">
        522.475
      </sumStat>
      <sumStat type="stdev">
        1518.179
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V530" name="NSS" files="F15" intrvl="discrete">
      <location StartPos="76" EndPos="77" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <qstn>
        <qstnLit>
          NSS
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V531" name="NSC" files="F15" intrvl="discrete">
      <location StartPos="78" EndPos="80" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <qstn>
        <qstnLit>
          NSC
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V532" name="MLT" files="F15" dcml="0" intrvl="contin">
      <location StartPos="81" EndPos="88" width="8" RecSegNo="1"/>
      <labl>
        MLT
      </labl>
      <valrng>
        <range min="83" max="13600275"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        83
      </sumStat>
      <sumStat type="max">
        13600275
      </sumStat>
      <sumStat type="mean">
        200763.079
      </sumStat>
      <sumStat type="stdev">
        356931.782
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V535" name="Wgt_SubSample" wgt="wgt" files="F15" dcml="2" intrvl="contin">
      <location StartPos="89" EndPos="97" width="9" RecSegNo="1"/>
      <labl>
        Multiplier - Sub sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.83" max="136002.75"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.83
      </sumStat>
      <sumStat type="max">
        136002.75
      </sumStat>
      <sumStat type="mean">
        2007.631
      </sumStat>
      <sumStat type="stdev">
        3569.318
      </sumStat>
      <codInstr><![CDATA[For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V536" name="Wgt_Combined" wgt="wgt" files="F15" dcml="2" intrvl="contin">
      <location StartPos="98" EndPos="105" width="8" RecSegNo="1"/>
      <labl>
        Multiplier - Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.415" max="68001.375"/>
      </valrng>
      <sumStat type="vald">
        68205
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.415
      </sumStat>
      <sumStat type="max">
        68001.375
      </sumStat>
      <sumStat type="mean">
        1003.815
      </sumStat>
      <sumStat type="stdev">
        1784.659
      </sumStat>
      <codInstr><![CDATA[For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

Wgt_Combined = MLT/100, if NSS=NSC,

otherwise

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