{"type":"survey","doc_desc":{"title":"IND_2005_NSS62-SCH1.0_v01_M","idno":"DDI_IND_2005_NSS62-SCH1.0_v01_M","producers":[{"name":"Computer Centre","abbreviation":"MOSPI, CC","affiliation":"M\/O Statistics & Programme Implementation","role":"Documentation of the study"},{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"World Bank","role":"Revision "}],"prod_date":"2012-04-02","version_statement":{"version":"Version 02 edits based on version 1.0 (April 2012). ID number for version 01: DDI-IND-MOSPI-NSSO-62Rnd-Sch1.0-2005-06."}},"study_desc":{"title_statement":{"idno":"IND_2005_NSS62-SCH1.0_v01_M","title":"Household Consumer Expenditure, National Sample Survey 62nd Round","sub_title":"2005-2006","alt_title":"NSS 62nd Round"},"authoring_entity":[{"name":"National Sample Survey Office","affiliation":"M\/o Statistics and Programme Implementation(MOSPI),Government of India (GOI)"}],"oth_id":[{"name":"Governing Council and Working Group","affiliation":"GOI","email":"","role":"Finalisation of survey study"}],"production_statement":{"producers":[{"name":"Survey Design Reearch Division","affiliation":"National Sample Survey Office","role":"Questionnaire Design, Sampling methodology, Survey Reports"},{"name":"Field Operations Division","affiliation":"National Sample Survey Office","role":"Field Work"},{"name":"Data Processing Division","affiliation":"National Sample Survey Office","role":"Data Processing"},{"name":"Computer Centre","affiliation":"M\/o Statistcs and Programme Implementation(MOSPI),Government of India (GOI)","role":"Tabulation and Dissemination"}],"funding_agencies":[{"name":"M\/o Statistics & Programme Implementation, GOI","abbreviation":"MOSPI","role":""}]},"distribution_statement":{"contact":[{"name":"ADG, SDRD , NSSO","affiliation":"M\/O Statistics & PI, G\/O India ","email":"","uri":"http:\/\/mospi.gov.in\/"},{"name":"DDG, Computer Centre","affiliation":"M\/O Statistics & PI, G\/O India ","email":"","uri":"http:\/\/mospi.nic.in\/Mospi_New\/site\/home.aspx"}]},"series_statement":{"series_name":"Socio-Economic\/Monitoring Survey [hh\/sems]","series_info":"The National Sample Survey Organisation (NSSO) was set up by the Government of India in 1950 to collect socio-economic data. The NSSO conducts regular consumer expenditure surveys as part of its \"rounds,\" each round being normally of a year's duration and covering more than one subject of study. The surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country.  The 62nd round survey is the seventeenth in the annual series of surveys of household consumer expenditure."},"version_statement":{"version":"Version 02","version_date":"2012-04-02"},"study_info":{"abstract":"The 62nd round survey is the seventeenth in the annual series of surveys of household consumer expenditure. The National Sample Survey Office (NSSO) conducts regular consumer expenditure surveys as part of its \"rounds,\" each round being normally of a year's duration and covering more than one subject of study. The surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country. Surveys on consumer expenditure are conducted quinquennially on a large sample of households from the 27th round (October 1972 - September 1973) onwards. Apart from these quinquennial surveys, the NSSO has been collecting information on consumer expenditure from a smaller sample of households since 42nd round (July 1986 - June 1987). Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. The imputed rent of owner-occupied houses is excluded from consumption expenditure. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure.","coll_dates":[{"start":"2005-07-01","end":"2005-09-30","cycle":"Sub round 1"},{"start":"2005-10-01","end":"2005-12-31","cycle":"Sub round 2"},{"start":"2006-01-01","end":"2006-03-31","cycle":"Sub round 3"},{"start":"2006-04-01","end":"2006-06-30","cycle":"Sub round 4"}],"nation":[{"name":"India","abbreviation":"IND"}],"geog_coverage":"The survey covers the whole of the Indian Union except:\n\n(i) Leh (Ladakh), Kargil, Punch and Rajauri districts of Jammu & Kashmir\n(ii) interior villages of Nagaland situated beyond five kilometres of a bus route  \n(iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year","analysis_unit":"-Households\n-Individuals","data_kind":"Sample survey data [ssd]","notes":"The scope of this survey includes the following: \n\n- Identification of sample households and particulars of field operations\n- Household characteristics such as household size, principal industry-occupation, social group, land possessed and cultivated, type of dwelling  \n- Demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day \n- Cash purchase and consumption of food, pan, tobacco and intoxicants during the last 30 days\n- Consumption of fuel and light during the last 30 days \n- Consumption of clothing, bedding, etc. during the last 365 days\n- Consumption of footwear during the last 365 days \n- Expenditure on education and medical (institutional) goods and services during the last 365 days\n- Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days\n- Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365 days \n- Summary of consumer expenditure","study_scope":"The scope of this survey includes the following: \n\n- Identification of sample households and particulars of field operations\n- Household characteristics such as household size, principal industry-occupation, social group, land possessed and cultivated, type of dwelling  \n- Demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day \n- Cash purchase and consumption of food, pan, tobacco and intoxicants during the last 30 days\n- Consumption of fuel and light during the last 30 days \n- Consumption of clothing, bedding, etc. during the last 365 days\n- Consumption of footwear during the last 365 days \n- Expenditure on education and medical (institutional) goods and services during the last 365 days\n- Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days\n- Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365 days \n- Summary of consumer expenditure"},"method":{"data_collection":{"data_collectors":[{"name":"NSSO(FOD)","abbreviation":"NSS(FOD)","affiliation":"MOSPI"}],"sampling_procedure":"Sample Design:  A stratified multi-stage design was adopted for the 62nd round survey. The First Stage Units (FSU) were the 2001 census villages in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The Ultimate Stage Units (USU) were households in both the sectors. In the case of large villages\/ blocks requiring hamlet-group (hg)\/ sub-block (sb) formation, one intermediate stage was the selection of two hgs\/ sbs from each FSU.\n\nSampling frame: The list of villages as per census 2001 was used as frame for the rural sector and the latest available list of Urban Frame Survey (UFS) blocks was used as frame in the urban sector. \n\nStratification: Within each district of a State\/ UT, two basic strata were formed:\n(i) Rural stratum comprising of all rural areas of the district \n(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. There are 27 towns with population 10 lakhs or more at all-India level as per census 2001.\n\nFor more detailed description of the sampling procedure, refer to the file titled \"Introduction: Concepts, Definitions and Procedures \" that is provided as an external resource.","sampling_deviation":"The survey period of this 62nd round was divided into four sub-rounds of three months' duration each to spread the survey workload uniformly. Because of the arduous field conditions, sub-round restriction was not strictly enforced in Andaman and Nicobar Islands, Lakshadweep, rural areas of Arunachal Pradesh and Nagaland.","coll_mode":"Face-to-face [f2f]","research_instrument":"Schedule 1.0 on consumer expenditure for NSS 62nd  round consisted of 12 blocks that are listed below. \n\nBlocks 0, 1 and 2: Similar to the ones used in usual NSS rounds. These were used to record identification of sample households and particulars of field operations.\nBlock 3: Household characteristics.\nBlock 4: Particulars of household members.\nBlock 5: Cash purchase and consumption of food, pan, tobacco and intoxicants during the last 30 days.\nBlock 6: Consumption of fuel & light during the last 30 days.\nBlock 7: Consumption of clothing, bedding, etc. during the last 365 days.\nBlock 8 : Consumption of footwear during the last 365 days.\nBlock 9 : Expenditure on education and medical (institutional) goods and services during the last 365 days. \nBlock 10 : Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days.\nBlock 11 : Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365 days. \nBlock 12: Summary of consumer expenditure.","coll_situation":"The household consumer expenditure schedule used for the survey collected information on quantity and value of household consumption with a reference period of \"last 30 days\" for some items of consumption and \"last 365 days\" for some less frequently purchased items. To minimise recall errors, a very detailed item classification was, as usual, adopted to collect information. The schedule also collected some other household particulars including age, sex and educational level of each household member.","act_min":"The field work for the survey was conducted by the Field Operations Division of the Organisation. The collected data were processed by the Data Processing Division of NSSO and tabulated by the Computer Centre of Department of Statistics. The reports have been prepared by Survey Design & Research Division (SDRD) of NSSO under the guidance of the Governing Council, NSSO.","weight":"Two different weights have been  provided in each file in the data set. Details are as follows:\n\n1.  Weight   for each sub sample is stored in the variable name: WGT_SS\n2. Combined subsample weight is stored in the variable name: WGT_SS_Combined"}},"data_access":{"dataset_use":{"contact":[{"name":"Computer Centre","affiliation":"M\/O Statistics and Programme Implementation","email":"nssodata@gmail.com","uri":"http:\/\/mospi.nic.in\/Mospi_New\/site\/home.aspx"}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\nThe National Survey Office (NSSO), India. Household Consumer Expenditure, National Sample Survey 62nd round, 2005-2006. Ref. IND_2005_NSS62-SCH1.0_v01_M. Dataset downloaded from [url] on [date].","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."}}},"data_files":[{"file_id":"F1","file_name":"Blocks 1,2_Identification of Sample Household","description":"These blocks contains data for identification of the sample household. Particulars of field operations are also available in these blocks.","case_count":"39436","var_count":"32","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"Block 3_Household Characteristics","description":"This block contains data on various household characteristics.","case_count":"39436","var_count":"42","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F3","file_name":"Block 4_Person records","description":"Demographic and other particulars of the household members are available in this block.","case_count":"190022","var_count":"38","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F4","file_name":"Block 5_Monthly household expenditure on food and non food items","description":"This block contains information on consumption of cereals, pulses, milk, sugar and salt by the household during a reference period of 30 days preceding the date of survey.","case_count":"1889174","var_count":"28","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F5","file_name":"Block 6_Monthly household expenditure on fuel and light","description":"This block contains data on consumption of fuel & light by the household during the last 30 days preceding the date of survey.","case_count":"201946","var_count":"28","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F6","file_name":"Block 7_Household expenditure on clothing, bedding etc","description":"This block contains data on consumption of clothing, bedding etc. by the household during the last 365 days preceding the date of survey.","case_count":"348850","var_count":"27","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F7","file_name":"Block 8_Household expenditure on footwear","description":"This block contains data on household expenditure on footwear by the household during the last 365 days preceding the date of survey.","case_count":"123087","var_count":"27","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F8","file_name":"Block 9_Household expenditure on education and medical (institutional) goods and services","description":"This block contains data on expenditure on education and medical (institutional) goods and services by the household during the last 365 days preceding the date of survey.","case_count":"138669","var_count":"26","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F9","file_name":"Block 10_ Monthly household expenditure on misc goods and services","description":"This block contains data on expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes by the household during the last 30 days preceding the date of survey.","case_count":"810313","var_count":"26","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F10","file_name":"Block 11_Household expenditure on durables","description":"This block contains data on expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use  by the household during the last 365 days preceding the date of survey.","case_count":"442842","var_count":"33","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"HHID","file_id":"F1","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"9","var_width":"9","var_rec_seg_no":"1","labl":"Primary key - unique identifier for a household","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_codeinstr":"This variable has been derived for identifying  a household by combining serial no. of village \/ block, segment number, second stage stratum and sample household number.","var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V2","name":"CentreCodeRoundShift","file_id":"F1","var_intrvl":"discrete","var_start_pos":"10","var_end_pos":"12","var_width":"3","var_rec_seg_no":"1","labl":"Centre code, Round, Shift","var_qstn_qstnlit":"Centre code, Round, Shift","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"000","labl":null,"stats":"39436","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V3","name":"Vill_Blk_Slno","file_id":"F1","var_intrvl":"discrete","var_start_pos":"13","var_end_pos":"17","var_width":"5","var_rec_seg_no":"1","labl":"Serial no of village \/ Block","var_qstn_qstnlit":"Serial no of village \/ Block","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V4","name":"Round","file_id":"F1","var_intrvl":"discrete","var_start_pos":"18","var_end_pos":"19","var_width":"2","var_rec_seg_no":"1","labl":"Round","var_qstn_qstnlit":"Round","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Indicates the NSS round number of this survey.","var_catgry":[{"value":"62","labl":null,"stats":"39436","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V5","name":"ScheduleNumber","file_id":"F1","var_intrvl":"discrete","var_start_pos":"20","var_end_pos":"22","var_width":"3","var_rec_seg_no":"1","labl":"Schedule Number","var_qstn_qstnlit":"Schedule Number","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Indicates the NSS schedule number of this survey.","var_catgry":[{"value":"010","labl":null,"stats":"39436","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V6","name":"Sample","file_id":"F1","var_intrvl":"discrete","var_start_pos":"23","var_end_pos":"23","var_width":"1","var_rec_seg_no":"1","labl":"Sample","var_qstn_qstnlit":"Sample","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"39436","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V7","name":"Sector","file_id":"F1","var_intrvl":"discrete","var_start_pos":"24","var_end_pos":"24","var_width":"1","var_rec_seg_no":"1","labl":"Sector","var_qstn_qstnlit":"Sector","var_qstn_ivulnstr":"Record 1 or 2 depending on whether the selected sample village\/ block is classified as Rural or Urban.","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sector : A word used for the rural-urban demarcation.","var_catgry":[{"value":"1","labl":"Rural","stats":"18992","type":"freq"},{"value":"2","labl":"Urban","stats":"20444","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V8","name":"St_Region","file_id":"F1","var_intrvl":"discrete","var_start_pos":"25","var_end_pos":"27","var_width":"3","var_rec_seg_no":"1","labl":"State - region","var_qstn_qstnlit":"State - region","var_qstn_ivulnstr":"State and NSS region to which the sample village\/ block belongs to will be recorded here as per the code list.","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Regions are hierarchical domains of study below the level of State\/ Union Territory in the NSS.","var_catgry":[{"value":"011","labl":null,"stats":"364","type":"freq"},{"value":"012","labl":null,"stats":"124","type":"freq"},{"value":"013","labl":null,"stats":"683","type":"freq"},{"value":"021","labl":null,"stats":"827","type":"freq"},{"value":"031","labl":null,"stats":"871","type":"freq"},{"value":"032","labl":null,"stats":"532","type":"freq"},{"value":"041","labl":null,"stats":"79","type":"freq"},{"value":"051","labl":null,"stats":"384","type":"freq"},{"value":"061","labl":null,"stats":"600","type":"freq"},{"value":"062","labl":null,"stats":"232","type":"freq"},{"value":"071","labl":null,"stats":"348","type":"freq"},{"value":"081","labl":null,"stats":"665","type":"freq"},{"value":"082","labl":null,"stats":"925","type":"freq"},{"value":"083","labl":null,"stats":"204","type":"freq"},{"value":"084","labl":null,"stats":"284","type":"freq"},{"value":"091","labl":null,"stats":"1644","type":"freq"},{"value":"092","labl":null,"stats":"796","type":"freq"},{"value":"093","labl":null,"stats":"1129","type":"freq"},{"value":"094","labl":null,"stats":"252","type":"freq"},{"value":"101","labl":null,"stats":"952","type":"freq"},{"value":"102","labl":null,"stats":"1059","type":"freq"},{"value":"111","labl":null,"stats":"240","type":"freq"},{"value":"121","labl":null,"stats":"380","type":"freq"},{"value":"131","labl":null,"stats":"316","type":"freq"},{"value":"141","labl":null,"stats":"360","type":"freq"},{"value":"142","labl":null,"stats":"120","type":"freq"},{"value":"151","labl":null,"stats":"412","type":"freq"},{"value":"161","labl":null,"stats":"732","type":"freq"},{"value":"171","labl":null,"stats":"388","type":"freq"},{"value":"181","labl":null,"stats":"440","type":"freq"},{"value":"182","labl":null,"stats":"888","type":"freq"},{"value":"183","labl":null,"stats":"64","type":"freq"},{"value":"191","labl":null,"stats":"288","type":"freq"},{"value":"192","labl":null,"stats":"748","type":"freq"},{"value":"193","labl":null,"stats":"1327","type":"freq"},{"value":"194","labl":null,"stats":"380","type":"freq"},{"value":"201","labl":null,"stats":"1203","type":"freq"},{"value":"211","labl":null,"stats":"636","type":"freq"},{"value":"212","labl":null,"stats":"312","type":"freq"},{"value":"213","labl":null,"stats":"560","type":"freq"},{"value":"221","labl":null,"stats":"532","type":"freq"},{"value":"231","labl":null,"stats":"296","type":"freq"},{"value":"232","labl":null,"stats":"394","type":"freq"},{"value":"233","labl":null,"stats":"514","type":"freq"},{"value":"234","labl":null,"stats":"300","type":"freq"},{"value":"235","labl":null,"stats":"232","type":"freq"},{"value":"236","labl":null,"stats":"300","type":"freq"},{"value":"241","labl":null,"stats":"404","type":"freq"},{"value":"242","labl":null,"stats":"504","type":"freq"},{"value":"243","labl":null,"stats":"168","type":"freq"},{"value":"244","labl":null,"stats":"220","type":"freq"},{"value":"245","labl":null,"stats":"356","type":"freq"},{"value":"251","labl":null,"stats":"64","type":"freq"},{"value":"261","labl":null,"stats":"64","type":"freq"},{"value":"271","labl":null,"stats":"1085","type":"freq"},{"value":"272","labl":null,"stats":"675","type":"freq"},{"value":"273","labl":null,"stats":"375","type":"freq"},{"value":"274","labl":null,"stats":"364","type":"freq"},{"value":"275","labl":null,"stats":"536","type":"freq"},{"value":"276","labl":null,"stats":"136","type":"freq"},{"value":"281","labl":null,"stats":"1107","type":"freq"},{"value":"282","labl":null,"stats":"1148","type":"freq"},{"value":"283","labl":null,"stats":"219","type":"freq"},{"value":"284","labl":null,"stats":"208","type":"freq"},{"value":"291","labl":null,"stats":"132","type":"freq"},{"value":"292","labl":null,"stats":"164","type":"freq"},{"value":"293","labl":null,"stats":"586","type":"freq"},{"value":"294","labl":null,"stats":"711","type":"freq"},{"value":"301","labl":null,"stats":"159","type":"freq"},{"value":"311","labl":null,"stats":"80","type":"freq"},{"value":"321","labl":null,"stats":"673","type":"freq"},{"value":"322","labl":null,"stats":"984","type":"freq"},{"value":"331","labl":null,"stats":"839","type":"freq"},{"value":"332","labl":null,"stats":"436","type":"freq"},{"value":"333","labl":null,"stats":"711","type":"freq"},{"value":"334","labl":null,"stats":"696","type":"freq"},{"value":"341","labl":null,"stats":"128","type":"freq"},{"value":"351","labl":null,"stats":"188","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V9","name":"State","file_id":"F1","var_intrvl":"discrete","var_start_pos":"28","var_end_pos":"29","var_width":"2","var_rec_seg_no":"1","labl":"State","var_qstn_qstnlit":"State","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu & Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman & Nicobar, Chandigarh, Dadra & Nagar Haveli, Daman & Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.","var_catgry":[{"value":"01","labl":"Jammu & Kashmir","stats":"1171","type":"freq"},{"value":"02","labl":"Himachal Pradesh","stats":"827","type":"freq"},{"value":"03","labl":"Punjab","stats":"1403","type":"freq"},{"value":"04","labl":"Chandigarh","stats":"79","type":"freq"},{"value":"05","labl":"Uttaranchal","stats":"384","type":"freq"},{"value":"06","labl":"Haryana","stats":"832","type":"freq"},{"value":"07","labl":"Delhi","stats":"348","type":"freq"},{"value":"08","labl":"Rajasthan","stats":"2078","type":"freq"},{"value":"09","labl":"Uttar Pradesh","stats":"3821","type":"freq"},{"value":"10","labl":"Bihar","stats":"2011","type":"freq"},{"value":"11","labl":"Sikkim","stats":"240","type":"freq"},{"value":"12","labl":"Arunachal Pradesh","stats":"380","type":"freq"},{"value":"13","labl":"Nagaland","stats":"316","type":"freq"},{"value":"14","labl":"Manipur","stats":"480","type":"freq"},{"value":"15","labl":"Mizoram","stats":"412","type":"freq"},{"value":"16","labl":"Tripura","stats":"732","type":"freq"},{"value":"17","labl":"Meghalaya","stats":"388","type":"freq"},{"value":"18","labl":"Assam","stats":"1392","type":"freq"},{"value":"19","labl":"West Bengal","stats":"2743","type":"freq"},{"value":"20","labl":"Jharkhand","stats":"1203","type":"freq"},{"value":"21","labl":"Orissa","stats":"1508","type":"freq"},{"value":"22","labl":"Chhattisgarh","stats":"532","type":"freq"},{"value":"23","labl":"Madhya Pradesh","stats":"2036","type":"freq"},{"value":"24","labl":"Gujrat","stats":"1652","type":"freq"},{"value":"25","labl":"Daman & Diu","stats":"64","type":"freq"},{"value":"26","labl":"Dadra & Nagar 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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.","var_catgry":[{"value":"01","labl":null,"stats":"2453","type":"freq"},{"value":"02","labl":null,"stats":"2050","type":"freq"},{"value":"03","labl":null,"stats":"1788","type":"freq"},{"value":"04","labl":null,"stats":"1965","type":"freq"},{"value":"05","labl":null,"stats":"1419","type":"freq"},{"value":"06","labl":null,"stats":"1811","type":"freq"},{"value":"07","labl":null,"stats":"1544","type":"freq"},{"value":"08","labl":null,"stats":"1155","type":"freq"},{"value":"09","labl":null,"stats":"1474","type":"freq"},{"value":"10","labl":null,"stats":"1486","type":"freq"},{"value":"11","labl":null,"stats":"1515","type":"freq"},{"value":"12","labl":null,"stats":"1403","type":"freq"},{"value":"13","labl":null,"stats":"1404","type":"freq"},{"value":"14","labl":null,"stats":"1339","type":"freq"},{"value":"15","labl":null,"stats":"1051","type":"freq"},{"value":"16","labl":null,"stats":"903","type":"freq"},{"value":"17","labl":null,"stats":"912","type":"freq"},{"value":"18","labl":null,"stats":"1091","type":"freq"},{"value":"19","labl":null,"stats":"812","type":"freq"},{"value":"20","labl":null,"stats":"939","type":"freq"},{"value":"21","labl":null,"stats":"827","type":"freq"},{"value":"22","labl":null,"stats":"571","type":"freq"},{"value":"23","labl":null,"stats":"472","type":"freq"},{"value":"24","labl":null,"stats":"708","type":"freq"},{"value":"25","labl":null,"stats":"372","type":"freq"},{"value":"26","labl":null,"stats":"711","type":"freq"},{"value":"27","labl":null,"stats":"392","type":"freq"},{"value":"28","labl":null,"stats":"650","type":"freq"},{"value":"29","labl":null,"stats":"404","type":"freq"},{"value":"30","labl":null,"stats":"448","type":"freq"},{"value":"31","labl":null,"stats":"427","type":"freq"},{"value":"32","labl":null,"stats":"216","type":"freq"},{"value":"33","labl":null,"stats":"311","type":"freq"},{"value":"34","labl":null,"stats":"224","type":"freq"},{"value":"35","labl":null,"stats":"224","type":"freq"},{"value":"36","labl":null,"stats":"240","type":"freq"},{"value":"37","labl":null,"stats":"148","type":"freq"},{"value":"38","labl":null,"stats":"259","type":"freq"},{"value":"39","labl":null,"stats":"196","type":"freq"},{"value":"40","labl":null,"stats":"698","type":"freq"},{"value":"41","labl":null,"stats":"108","type":"freq"},{"value":"42","labl":null,"stats":"211","type":"freq"},{"value":"43","labl":null,"stats":"80","type":"freq"},{"value":"44","labl":null,"stats":"48","type":"freq"},{"value":"45","labl":null,"stats":"135","type":"freq"},{"value":"46","labl":null,"stats":"150","type":"freq"},{"value":"47","labl":null,"stats":"146","type":"freq"},{"value":"48","labl":null,"stats":"40","type":"freq"},{"value":"49","labl":null,"stats":"44","type":"freq"},{"value":"50","labl":null,"stats":"40","type":"freq"},{"value":"51","labl":null,"stats":"24","type":"freq"},{"value":"52","labl":null,"stats":"32","type":"freq"},{"value":"53","labl":null,"stats":"40","type":"freq"},{"value":"54","labl":null,"stats":"32","type":"freq"},{"value":"55","labl":null,"stats":"32","type":"freq"},{"value":"56","labl":null,"stats":"24","type":"freq"},{"value":"57","labl":null,"stats":"32","type":"freq"},{"value":"58","labl":null,"stats":"72","type":"freq"},{"value":"59","labl":null,"stats":"32","type":"freq"},{"value":"60","labl":null,"stats":"40","type":"freq"},{"value":"61","labl":null,"stats":"40","type":"freq"},{"value":"62","labl":null,"stats":"48","type":"freq"},{"value":"63","labl":null,"stats":"36","type":"freq"},{"value":"64","labl":null,"stats":"40","type":"freq"},{"value":"65","labl":null,"stats":"44","type":"freq"},{"value":"66","labl":null,"stats":"26","type":"freq"},{"value":"67","labl":null,"stats":"40","type":"freq"},{"value":"68","labl":null,"stats":"32","type":"freq"},{"value":"69","labl":null,"stats":"40","type":"freq"},{"value":"70","labl":null,"stats":"32","type":"freq"},{"value":"71","labl":null,"stats":"72","type":"freq"},{"value":"72","labl":null,"stats":"80","type":"freq"},{"value":"73","labl":null,"stats":"144","type":"freq"},{"value":"74","labl":null,"stats":"160","type":"freq"},{"value":"75","labl":null,"stats":"72","type":"freq"},{"value":"99","labl":null,"stats":"156","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V13","name":"SubStratum","file_id":"F1","var_intrvl":"discrete","var_start_pos":"38","var_end_pos":"39","var_width":"2","var_rec_seg_no":"1","labl":"Sub-Stratum","var_qstn_qstnlit":"Sub-Stratum","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Allocation to sub-strata\n\nRural sector: \n462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.\n\nUrban sector: \nFor the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.\n\nFor details of sub-stratification see the manual \"Introduction Concepts, Definitions and Procedures\" attached in external resources.","var_catgry":[{"value":"01","labl":null,"stats":"10290","type":"freq"},{"value":"02","labl":null,"stats":"15312","type":"freq"},{"value":"03","labl":null,"stats":"4808","type":"freq"},{"value":"04","labl":null,"stats":"3456","type":"freq"},{"value":"05","labl":null,"stats":"1872","type":"freq"},{"value":"06","labl":null,"stats":"1458","type":"freq"},{"value":"07","labl":null,"stats":"700","type":"freq"},{"value":"08","labl":null,"stats":"532","type":"freq"},{"value":"09","labl":null,"stats":"288","type":"freq"},{"value":"10","labl":null,"stats":"224","type":"freq"},{"value":"11","labl":null,"stats":"112","type":"freq"},{"value":"12","labl":null,"stats":"104","type":"freq"},{"value":"13","labl":null,"stats":"88","type":"freq"},{"value":"14","labl":null,"stats":"64","type":"freq"},{"value":"15","labl":null,"stats":"24","type":"freq"},{"value":"16","labl":null,"stats":"24","type":"freq"},{"value":"17","labl":null,"stats":"24","type":"freq"},{"value":"18","labl":null,"stats":"16","type":"freq"},{"value":"19","labl":null,"stats":"16","type":"freq"},{"value":"20","labl":null,"stats":"8","type":"freq"},{"value":"21","labl":null,"stats":"8","type":"freq"},{"value":"22","labl":null,"stats":"8","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V14","name":"SubRound","file_id":"F1","var_intrvl":"discrete","var_start_pos":"40","var_end_pos":"40","var_width":"1","var_rec_seg_no":"1","labl":"Sub-Round","var_qstn_qstnlit":"Sub-Round","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_catgry":[{"value":"1","labl":"Sub-round 1","stats":"9670","type":"freq"},{"value":"2","labl":"Sub-round 2","stats":"9891","type":"freq"},{"value":"3","labl":"Sub-round 3","stats":"9959","type":"freq"},{"value":"4","labl":"Sub-round 4","stats":"9916","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V15","name":"SubSample","file_id":"F1","var_intrvl":"discrete","var_start_pos":"41","var_end_pos":"41","var_width":"1","var_rec_seg_no":"1","labl":"Sub - sample","var_qstn_qstnlit":"Sub - sample","var_qstn_ivulnstr":"Record 1 or 2 depending on whether the selected sample village\/block is central sample or state sample","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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 \nsampling 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. \n \nInterpenetrating 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. \n\nThe 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.","var_catgry":[{"value":"1","labl":"Central sample","stats":"20700","type":"freq"},{"value":"2","labl":"State sample","stats":"18736","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V16","name":"FODSubRegion","file_id":"F1","var_intrvl":"discrete","var_start_pos":"42","var_end_pos":"45","var_width":"4","var_rec_seg_no":"1","labl":"FOD Sub-Region","var_qstn_qstnlit":"FOD Sub-Region","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V17","name":"SegmentNo","file_id":"F1","var_intrvl":"discrete","var_start_pos":"46","var_end_pos":"46","var_width":"1","var_rec_seg_no":"1","labl":"Segment Number","var_qstn_qstnlit":"Segment Number","var_qstn_ivulnstr":"Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.\n\nListing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.\n\nFormation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.\n\nA large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and\/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's\/sb's formed in the FSU, two hg's\/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME\/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg\/sb may be selected randomly and termed as Segment 2. \n\nListing and selection of households\/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg\/sb formation will not have segment 2.","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"30535","type":"freq"},{"value":"2","labl":null,"stats":"8901","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V18","name":"Stage2_Stratum","file_id":"F1","var_intrvl":"discrete","var_start_pos":"47","var_end_pos":"47","var_width":"1","var_rec_seg_no":"1","labl":"Second Stage Stratum","var_qstn_qstnlit":"Second Stage Stratum","var_qstn_ivulnstr":"Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Formation of second-stage strata and allocation of households: \nAll the households listed in the selected village\/ block\/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.\n\nFor the rural sector, a cut-off point 'X' (in hectares) was determined at State\/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State\/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.\n\nSimilarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State\/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE\nequal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.","var_catgry":[{"value":"1","labl":null,"stats":"20766","type":"freq"},{"value":"2","labl":null,"stats":"18670","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V19","name":"Hhold_no","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"48","var_end_pos":"48","var_width":"1","var_rec_seg_no":"1","labl":"Sample Household Number","var_qstn_qstnlit":"Sample Household Number","var_qstn_ivulnstr":"Sample household number:  The sample household number (i.e., order of selection)  of the selected household is to be copied from column (11) or (12) of block 5a of Schedule 0.0.","var_val_range":[{"units":null,"min":"1","max":"4"}],"var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"},{"value":"1","type":"min"},{"value":"4","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V20","name":"Lvl","file_id":"F1","var_intrvl":"discrete","var_start_pos":"49","var_end_pos":"50","var_width":"2","var_rec_seg_no":"1","labl":"Level","var_qstn_qstnlit":"Level","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"01","labl":null,"stats":"39436","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V21","name":"Informant_Slno","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"51","var_end_pos":"52","var_width":"2","var_rec_seg_no":"1","labl":"Serial No. of informant","var_qstn_qstnlit":"Serial No. of informant","var_qstn_ivulnstr":"Serial no. of informant : \nThe srl. no. of the person recorded  in column 1 of block 4, Schedule 1.0 from whom the bulk of the information is collected will be entered. Information has to be collected from one of the household members. In an extreme case, information may be collected from a person other than the household member who is supposed to know all the requisite information. In such case, '99' should be recorded against this item.","var_val_range":[{"units":null,"min":"0","max":"99"}],"var_sumstat":[{"value":"39405","type":"vald"},{"value":"31","type":"invd"},{"value":"0","type":"min"},{"value":"99","type":"max"}],"var_catgry":[{"value":"0","labl":null,"stats":"2","type":"freq"},{"value":"1","labl":null,"stats":"21450","type":"freq"},{"value":"2","labl":null,"stats":"13158","type":"freq"},{"value":"3","labl":null,"stats":"2252","type":"freq"},{"value":"4","labl":null,"stats":"1107","type":"freq"},{"value":"5","labl":null,"stats":"495","type":"freq"},{"value":"6","labl":null,"stats":"321","type":"freq"},{"value":"7","labl":null,"stats":"204","type":"freq"},{"value":"8","labl":null,"stats":"141","type":"freq"},{"value":"9","labl":null,"stats":"72","type":"freq"},{"value":"10","labl":null,"stats":"54","type":"freq"},{"value":"11","labl":null,"stats":"37","type":"freq"},{"value":"12","labl":null,"stats":"16","type":"freq"},{"value":"13","labl":null,"stats":"14","type":"freq"},{"value":"14","labl":null,"stats":"5","type":"freq"},{"value":"15","labl":null,"stats":"5","type":"freq"},{"value":"16","labl":null,"stats":"7","type":"freq"},{"value":"18","labl":null,"stats":"1","type":"freq"},{"value":"19","labl":null,"stats":"2","type":"freq"},{"value":"21","labl":null,"stats":"1","type":"freq"},{"value":"22","labl":null,"stats":"1","type":"freq"},{"value":"23","labl":null,"stats":"1","type":"freq"},{"value":"24","labl":null,"stats":"1","type":"freq"},{"value":"29","labl":null,"stats":"1","type":"freq"},{"value":"36","labl":null,"stats":"1","type":"freq"},{"value":"44","labl":null,"stats":"1","type":"freq"},{"value":"48","labl":null,"stats":"1","type":"freq"},{"value":"51","labl":null,"stats":"1","type":"freq"},{"value":"99","labl":null,"stats":"53","type":"freq"},{"value":"Sysmiss","labl":null,"stats":"31","type":"freq"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V22","name":"Resp_Code","file_id":"F1","var_intrvl":"discrete","var_start_pos":"53","var_end_pos":"53","var_width":"1","var_rec_seg_no":"1","labl":"Response Code","var_qstn_qstnlit":"Response Code","var_qstn_ivulnstr":"This item is to be filled in at the end of the interview. It is meant to classify the informant according to the degree of his co-operation as well as his capability to provide the required information.  The codes are:  \ninformant:\tco-operative and capable\u2026\u2026\u2026.\t1\tbusy\u2026\u2026\u2026\u2026\u2026.\t3\t\n\tco-operative but not capable\u2026\u2026.\t2\treluctant\u2026\u2026\u2026\t4\t\n\t\t\tothers\u2026\u2026\u2026\u2026.\t9","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_catgry":[{"value":"1","labl":"informant : cooperative and  capable","stats":"30183","type":"freq"},{"value":"2","labl":"informant : cooperative but not capable","stats":"8038","type":"freq"},{"value":"3","labl":"informant : busy","stats":"591","type":"freq"},{"value":"4","labl":"informant : reluctant","stats":"550","type":"freq"},{"value":"9","labl":"others","stats":"74","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V23","name":"Survey_Code","file_id":"F1","var_intrvl":"discrete","var_start_pos":"54","var_end_pos":"54","var_width":"1","var_rec_seg_no":"1","labl":"Survey Code","var_qstn_qstnlit":"Survey Code","var_qstn_ivulnstr":"Whether the originally selected sample household has been surveyed or a substituted household has been surveyed will be indicated against this item by recording '1', if the sample household is the one originally selected, and '2', if it is a substituted household.  If neither the originally selected household nor the substituted household could be surveyed i.e., if the sample household is a casualty, code '3' will be recorded.  In such cases only blocks 0, 1, 2, 14 and 15 will be filled in and on the top of the front page of the schedule the word 'CASUALTY' will be written and underlined.","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The item records whether the originally selected household or a substitute house\u00adhold 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.","var_catgry":[{"value":"1","labl":"original","stats":"37894","type":"freq"},{"value":"2","labl":"substitute","stats":"1542","type":"freq"},{"value":"3","labl":"casualty","stats":"0","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V24","name":"Substn_Code","file_id":"F1","var_intrvl":"discrete","var_start_pos":"55","var_end_pos":"55","var_width":"1","var_rec_seg_no":"1","labl":"Substitution Code","var_qstn_qstnlit":"Substitution Code","var_qstn_ivulnstr":"In case the originally selected sample household could not be surveyed, the reason for not surveying the original household will be recorded against this item, irrespective of whether a substituted household could be surveyed or not.  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refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu & Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman & Nicobar, Chandigarh, Dadra & Nagar Haveli, Daman & Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.","var_catgry":[{"value":"01","labl":"Jammu & Kashmir","stats":"1171","type":"freq"},{"value":"02","labl":"Himachal 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Haveli","stats":"64","type":"freq"},{"value":"27","labl":"Maharastra","stats":"3171","type":"freq"},{"value":"28","labl":"Andhra Pardesh","stats":"2682","type":"freq"},{"value":"29","labl":"Karnataka","stats":"1593","type":"freq"},{"value":"30","labl":"Goa","stats":"159","type":"freq"},{"value":"31","labl":"Lakshadweep","stats":"80","type":"freq"},{"value":"32","labl":"Kerala","stats":"1657","type":"freq"},{"value":"33","labl":"Tamil Nadu","stats":"2682","type":"freq"},{"value":"34","labl":"Pondicheri","stats":"128","type":"freq"},{"value":"35","labl":"Andaman & Nicober","stats":"188","type":"freq"}],"var_codeinstr":"This variable has been derived from the variable \"State - region\" to enable the users to easily access state wise data.","var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V42","name":"District","file_id":"F2","var_intrvl":"discrete","var_start_pos":"30","var_end_pos":"31","var_width":"2","var_rec_seg_no":"1","labl":"District","var_qstn_qstnlit":"District","var_qstn_ivulnstr":"District to which the sample village\/ block belongs to will be recorded here as per the code list.","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V43","name":"Stratum","file_id":"F2","var_intrvl":"discrete","var_start_pos":"32","var_end_pos":"33","var_width":"2","var_rec_seg_no":"1","labl":"Stratum Number","var_qstn_qstnlit":"Stratum Number","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Within each district of a State\/ UT, two basic strata were formed:\n(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the 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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.","var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V44","name":"SubStratum","file_id":"F2","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"35","var_width":"2","var_rec_seg_no":"1","labl":"Sub-Stratum","var_qstn_qstnlit":"Sub-Stratum","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Allocation to sub-strata\n\nRural sector: \n462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.\n\nUrban sector: \nFor the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.\n\nFor details of sub-stratification see the manual \"Introduction Concepts, Definitions and Procedures\" attached in external resources.","var_catgry":[{"value":"01","labl":null,"stats":"10290","type":"freq"},{"value":"02","labl":null,"stats":"15312","type":"freq"},{"value":"03","labl":null,"stats":"4808","type":"freq"},{"value":"04","labl":null,"stats":"3456","type":"freq"},{"value":"05","labl":null,"stats":"1872","type":"freq"},{"value":"06","labl":null,"stats":"1458","type":"freq"},{"value":"07","labl":null,"stats":"700","type":"freq"},{"value":"08","labl":null,"stats":"532","type":"freq"},{"value":"09","labl":null,"stats":"288","type":"freq"},{"value":"10","labl":null,"stats":"224","type":"freq"},{"value":"11","labl":null,"stats":"112","type":"freq"},{"value":"12","labl":null,"stats":"104","type":"freq"},{"value":"13","labl":null,"stats":"88","type":"freq"},{"value":"14","labl":null,"stats":"64","type":"freq"},{"value":"15","labl":null,"stats":"24","type":"freq"},{"value":"16","labl":null,"stats":"24","type":"freq"},{"value":"17","labl":null,"stats":"24","type":"freq"},{"value":"18","labl":null,"stats":"16","type":"freq"},{"value":"19","labl":null,"stats":"16","type":"freq"},{"value":"20","labl":null,"stats":"8","type":"freq"},{"value":"21","labl":null,"stats":"8","type":"freq"},{"value":"22","labl":null,"stats":"8","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V45","name":"SubRound","file_id":"F2","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"36","var_width":"1","var_rec_seg_no":"1","labl":"Sub-Round","var_qstn_qstnlit":"Sub-Round","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_catgry":[{"value":"1","labl":"Sub-round 1","stats":"9670","type":"freq"},{"value":"2","labl":"Sub-round 2","stats":"9891","type":"freq"},{"value":"3","labl":"Sub-round 3","stats":"9959","type":"freq"},{"value":"4","labl":"Sub-round 4","stats":"9916","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V46","name":"SubSample","file_id":"F2","var_intrvl":"discrete","var_start_pos":"37","var_end_pos":"37","var_width":"1","var_rec_seg_no":"1","labl":"Sub - sample","var_qstn_qstnlit":"Sub - sample","var_qstn_ivulnstr":"Record 1 or 2 depending on whether the selected sample village\/block is central sample or state sample","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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 \nsampling 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. \n \nInterpenetrating 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. \n\nThe 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.","var_catgry":[{"value":"1","labl":"Central sample","stats":"20700","type":"freq"},{"value":"2","labl":"State sample","stats":"18736","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V47","name":"FODSubRegion","file_id":"F2","var_intrvl":"discrete","var_start_pos":"38","var_end_pos":"41","var_width":"4","var_rec_seg_no":"1","labl":"FOD Sub-Region","var_qstn_qstnlit":"FOD Sub-Region","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V48","name":"SegmentNo","file_id":"F2","var_intrvl":"discrete","var_start_pos":"42","var_end_pos":"42","var_width":"1","var_rec_seg_no":"1","labl":"Segment Number","var_qstn_qstnlit":"Segment Number","var_qstn_ivulnstr":"Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.\n\nListing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.\n\nFormation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.\n\nA large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and\/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's\/sb's formed in the FSU, two hg's\/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME\/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg\/sb may be selected randomly and termed as Segment 2. \n\nListing and selection of households\/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg\/sb formation will not have segment 2.","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"30535","type":"freq"},{"value":"2","labl":null,"stats":"8901","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V49","name":"Stage2_Stratum","file_id":"F2","var_intrvl":"discrete","var_start_pos":"43","var_end_pos":"43","var_width":"1","var_rec_seg_no":"1","labl":"Second Stage Stratum","var_qstn_qstnlit":"Second Stage Stratum","var_qstn_ivulnstr":"Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Formation of second-stage strata and allocation of households: \nAll the households listed in the selected village\/ block\/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.\n\nFor the rural sector, a cut-off point 'X' (in hectares) was determined at State\/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State\/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.\n\nSimilarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State\/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE\nequal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.","var_catgry":[{"value":"1","labl":null,"stats":"20766","type":"freq"},{"value":"2","labl":null,"stats":"18670","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V50","name":"Hhold_no","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"44","var_end_pos":"44","var_width":"1","var_rec_seg_no":"1","labl":"Sample Household Number","var_qstn_qstnlit":"Sample Household Number","var_qstn_ivulnstr":"Sample household number:  The sample household number (i.e., order of selection)  of the selected household is to be copied from column (11) or (12) of block 5a of Schedule 0.0.","var_val_range":[{"units":null,"min":"1","max":"4"}],"var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"},{"value":"1","type":"min"},{"value":"4","type":"max"}],"var_catgry":[{"value":"1","labl":null,"stats":"27281","type":"freq"},{"value":"2","labl":null,"stats":"11606","type":"freq"},{"value":"3","labl":null,"stats":"313","type":"freq"},{"value":"4","labl":null,"stats":"236","type":"freq"}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V51","name":"Level","file_id":"F2","var_intrvl":"discrete","var_start_pos":"45","var_end_pos":"46","var_width":"2","var_rec_seg_no":"1","labl":"Level","var_qstn_qstnlit":"Level","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"02","labl":null,"stats":"39436","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V52","name":"B3_q1","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"47","var_end_pos":"48","var_width":"2","var_rec_seg_no":"1","labl":"Household Size","var_qstn_qstnlit":"How many members are there in the household?","var_qstn_ivulnstr":"The size of the sample household i.e., the total number of persons normally residing together (i.e., under the same roof) and taking food from the same kitchen (including temporary stay-aways and excluding temporary visitors) will be recorded against this item. This number will be the same as the last serial number recorded in column 1 of block 4.","var_val_range":[{"units":null,"min":"1","max":"39"}],"var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"},{"value":"1","type":"min"},{"value":"39","type":"max"}],"var_txt":"The size of the sample household i.e., the total number of persons normally residing together (i.e., under the same roof) and taking food from the same kitchen (including temporary stay-aways and excluding temporary visitors) will be recorded against this item.","var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V53","name":"B3_q2","file_id":"F2","var_intrvl":"discrete","var_start_pos":"49","var_end_pos":"53","var_width":"5","var_rec_seg_no":"1","labl":"NIC Code(5-digit)","var_qstn_qstnlit":"Which industry are you working in?","var_qstn_ivulnstr":"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.","var_sumstat":[{"value":"36972","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The description of the principal household industry has been recorded in the space provided.","var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V54","name":"B3_q3","file_id":"F2","var_intrvl":"discrete","var_start_pos":"54","var_end_pos":"56","var_width":"3","var_rec_seg_no":"1","labl":"NCO Code(3-digit)","var_qstn_qstnlit":"Which occupation are you in?","var_qstn_ivulnstr":"As in 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-1968 is to be recorded in the entry cell, which has been trisected for recording each digit separately. For households deriving income from non-economic activities only, a dash (-) may be put against this item.","var_sumstat":[{"value":"36963","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The description of the principal household occupation has been recorded in the space provided.","var_catgry":[{"value":"000","labl":"Physicist","stats":null,"type":null},{"value":"001","labl":"Chemists(excluding pharmaceutical chemists)","stats":null,"type":null},{"value":"002","labl":"Geologists and geophysicists","stats":null,"type":null},{"value":"003","labl":"Meteorologist","stats":null,"type":null},{"value":"009","labl":"Physical scientists, n.e.c.","stats":null,"type":null},{"value":"010","labl":"Physical science technicians","stats":null,"type":null},{"value":"020","labl":"Architects and town planners","stats":null,"type":null},{"value":"021","labl":"Civil engineers","stats":null,"type":null},{"value":"022","labl":"Electrical and electronic engineers","stats":null,"type":null},{"value":"023","labl":"Mechanical engineers","stats":null,"type":null},{"value":"024","labl":"Chemical engineers","stats":null,"type":null},{"value":"025","labl":"Metallurgists","stats":null,"type":null},{"value":"026","labl":"Mining engineers","stats":null,"type":null},{"value":"027","labl":"Industrial engineers","stats":null,"type":null},{"value":"028","labl":"Surveyors","stats":null,"type":null},{"value":"029","labl":"Architects, engineers, technologists and surveyors, n.e.c.","stats":null,"type":null},{"value":"030","labl":"Draughtsmen","stats":null,"type":null},{"value":"031","labl":"Civil engineering overseers and technicians","stats":null,"type":null},{"value":"032","labl":"Electrical and electronic engineering overseers and technicians","stats":null,"type":null},{"value":"033","labl":"Mechanical engineering overseers and technicians","stats":null,"type":null},{"value":"034","labl":"Chemical engineering technicians","stats":null,"type":null},{"value":"035","labl":"Metallurgical technicians","stats":null,"type":null},{"value":"036","labl":"Mining technicians","stats":null,"type":null},{"value":"037","labl":"Survey technicians","stats":null,"type":null},{"value":"039","labl":"Engineering technicians, n.e.c.","stats":null,"type":null},{"value":"040","labl":"Aircraft pilots","stats":null,"type":null},{"value":"041","labl":"Flight engineers","stats":null,"type":null},{"value":"042","labl":"Flight navigators","stats":null,"type":null},{"value":"043","labl":"Ship's deck officers and pilots","stats":null,"type":null},{"value":"044","labl":"Ships engineers","stats":null,"type":null},{"value":"049","labl":"Aircraft and ship's officers, n.e.c.","stats":null,"type":null},{"value":"050","labl":"Biologists, zoologists, botanists and related scientists","stats":null,"type":null},{"value":"051","labl":"Bacteriologists, pharmacologists &related scientists","stats":null,"type":null},{"value":"052","labl":"Silviculturists","stats":null,"type":null},{"value":"053","labl":"Agronomists and agricultural scientists","stats":null,"type":null},{"value":"059","labl":"Life scientists, n.e.c.","stats":null,"type":null},{"value":"060","labl":"Life science technicians","stats":null,"type":null},{"value":"070","labl":"Physicians and surgeons, allopathic","stats":null,"type":null},{"value":"071","labl":"Physicians and surgeons, ayurvedic","stats":null,"type":null},{"value":"072","labl":"Physicians and surgeons, homoeopathic","stats":null,"type":null},{"value":"073","labl":"Physician and surgeons, unani","stats":null,"type":null},{"value":"074","labl":"Dental surgeons","stats":null,"type":null},{"value":"075","labl":"Veterinarians","stats":null,"type":null},{"value":"076","labl":"Pharmacists","stats":null,"type":null},{"value":"077","labl":"Dieticians and nutritionists","stats":null,"type":null},{"value":"078","labl":"Public health physicians","stats":null,"type":null},{"value":"079","labl":"Physicians and surgeons, n.e.c.","stats":null,"type":null},{"value":"080","labl":"Vaccinators, inoculators and medical assistants","stats":null,"type":null},{"value":"081","labl":"Dental assistants","stats":null,"type":null},{"value":"082","labl":"Veterinary assistants","stats":null,"type":null},{"value":"083","labl":"Pharmaceutical assistants","stats":null,"type":null},{"value":"084","labl":"Nurses","stats":null,"type":null},{"value":"085","labl":"Midwives and health visitors","stats":null,"type":null},{"value":"086","labl":"X - ray technicians","stats":null,"type":null},{"value":"087","labl":"Optometrists and opticians","stats":null,"type":null},{"value":"088","labl":"Physiotherapists and occupational therapists","stats":null,"type":null},{"value":"089","labl":"Nursing, sanitary and other medical health technicians, n.e.c.","stats":null,"type":null},{"value":"090","labl":"Scientific medical and technical persons, other","stats":null,"type":null},{"value":"100","labl":"Mathematicians","stats":null,"type":null},{"value":"101","labl":"Statisticians","stats":null,"type":null},{"value":"102","labl":"Actuaries","stats":null,"type":null},{"value":"103","labl":"System analysts and programmers","stats":null,"type":null},{"value":"104","labl":"Statistical investigators and related workers","stats":null,"type":null},{"value":"109","labl":"Mathematicians, statisticians & related workers, n.e.c.","stats":null,"type":null},{"value":"110","labl":"Economists","stats":null,"type":null},{"value":"111","labl":"Economic investigators and related workers","stats":null,"type":null},{"value":"119","labl":"Economists and related workers, n.e.c.","stats":null,"type":null},{"value":"120","labl":"Accountants and auditors","stats":null,"type":null},{"value":"121","labl":"Cost and works accountants","stats":null,"type":null},{"value":"129","labl":"Accountants, auditors and related workers, n.e.c.","stats":null,"type":null},{"value":"130","labl":"Sociologists and anthropologists","stats":null,"type":null},{"value":"131","labl":"Historians, archeologists & political scientists & related workers","stats":null,"type":null},{"value":"132","labl":"Geographers","stats":null,"type":null},{"value":"133","labl":"Psychologists","stats":null,"type":null},{"value":"134","labl":"Librarians, archivists and curators","stats":null,"type":null},{"value":"135","labl":"Philologists, translators and interpreters","stats":null,"type":null},{"value":"136","labl":"Personnel and occupational specialists","stats":null,"type":null},{"value":"137","labl":"Labour, social welfare & political workers","stats":null,"type":null},{"value":"139","labl":"Social scientists and related workers, n.e.c.","stats":null,"type":null},{"value":"140","labl":"Lawyers","stats":null,"type":null},{"value":"141","labl":"Judges and magistrates","stats":null,"type":null},{"value":"142","labl":"Legal assistants","stats":null,"type":null},{"value":"149","labl":"Jurists, n.e.c.","stats":null,"type":null},{"value":"150","labl":"Teachers, university and colleges","stats":null,"type":null},{"value":"151","labl":"Teachers, higher secondary & secondary schools","stats":null,"type":null},{"value":"152","labl":"Teachers, middle school","stats":null,"type":null},{"value":"153","labl":"Teachers, primary","stats":null,"type":null},{"value":"154","labl":"Teachers, pre-primary","stats":null,"type":null},{"value":"155","labl":"Teachers, special education","stats":null,"type":null},{"value":"156","labl":"Teachers, craft","stats":null,"type":null},{"value":"159","labl":"Teachers, n.e.c.","stats":null,"type":null},{"value":"160","labl":"Poets, authors and critics","stats":null,"type":null},{"value":"161","labl":"Editors and journalists","stats":null,"type":null},{"value":"169","labl":"Poets, authors, journalists and related workers, n.e.c.","stats":null,"type":null},{"value":"170","labl":"Sculptors, painters and related artists","stats":null,"type":null},{"value":"171","labl":"Commercial artists, interior decorators& designers","stats":null,"type":null},{"value":"172","labl":"Movie camera operators","stats":null,"type":null},{"value":"173","labl":"Photographers, other","stats":null,"type":null},{"value":"179","labl":"Sculptors, painters, photographers &related creative artists, n.e.c.","stats":null,"type":null},{"value":"180","labl":"Composers, musicians and singers","stats":null,"type":null},{"value":"181","labl":"Choreographers and dancers","stats":null,"type":null},{"value":"182","labl":"Actors","stats":null,"type":null},{"value":"183","labl":"Stage & film directors & producers(performing arts)","stats":null,"type":null},{"value":"184","labl":"Circus performers","stats":null,"type":null},{"value":"189","labl":"Composers and performing artists, n.e.c.","stats":null,"type":null},{"value":"190","labl":"Ordained religious workers","stats":null,"type":null},{"value":"191","labl":"Non - ordained religious workers","stats":null,"type":null},{"value":"192","labl":"Astrologers, palmists and related workers","stats":null,"type":null},{"value":"193","labl":"Athletes, sportsmen and related workers","stats":null,"type":null},{"value":"199","labl":"Professional workers n.e.c.","stats":null,"type":null},{"value":"200","labl":"Elected officials, union government","stats":null,"type":null},{"value":"201","labl":"Elected officials, state government","stats":null,"type":null},{"value":"202","labl":"Elected officials, local bodies","stats":null,"type":null},{"value":"209","labl":"Elected officials, n.e.c.","stats":null,"type":null},{"value":"210","labl":"Administrative & executive officials, union govt","stats":null,"type":null},{"value":"211","labl":"Administrative & executive officials, state government","stats":null,"type":null},{"value":"212","labl":"Administrative& executive officials, quasi government","stats":null,"type":null},{"value":"213","labl":"Administrative &executive officials, local bodies","stats":null,"type":null},{"value":"219","labl":"Administrative &executive officials, govt & local bodies, n.e.c.","stats":null,"type":null},{"value":"220","labl":"Working proprietors, directors & managers, wholesale trade","stats":null,"type":null},{"value":"221","labl":"Working proprietors, directors & managers, retail trade","stats":null,"type":null},{"value":"229","labl":"Working proprietors, directors and managers wholesale & retail trade, n.e.c.","stats":null,"type":null},{"value":"230","labl":"Directors and managers, bank","stats":null,"type":null},{"value":"231","labl":"Directors and managers, insurance","stats":null,"type":null},{"value":"239","labl":"Directors and managers, financial institution n.e.c.","stats":null,"type":null},{"value":"240","labl":"Working proprietors, directors &managers, mining, quarrying and well drilling","stats":null,"type":null},{"value":"241","labl":"Working proprietors, directors & managers, construction","stats":null,"type":null},{"value":"242","labl":"Working proprietors, directors & managers, electricity, gas and water","stats":null,"type":null},{"value":"243","labl":"Working proprietors, directors & managers, manufacturing","stats":null,"type":null},{"value":"249","labl":"Manufacturing and related concerns, n.e.c.","stats":null,"type":null},{"value":"250","labl":"Working proprietors, directors, managers & related executives, transport","stats":null,"type":null},{"value":"251","labl":"Directors, managers & related executives, communication","stats":null,"type":null},{"value":"252","labl":"Working proprietors, directors, managers & related executives, storage and warehouse","stats":null,"type":null},{"value":"259","labl":"Storage and communication, n.e.c.","stats":null,"type":null},{"value":"260","labl":"Working proprietors, directors & managers, lodging & catering services","stats":null,"type":null},{"value":"261","labl":"Working props, dirs & managers, recreation & entertain","stats":null,"type":null},{"value":"269","labl":"Working proprietors, directors, managers,& related executives, other services","stats":null,"type":null},{"value":"299","labl":"Administrative, executive &ma nagerial workers, n.e.c.","stats":null,"type":null},{"value":"300","labl":"Clerical supervisors(office superintendents), head clerks, section heads","stats":null,"type":null},{"value":"301","labl":"Other supervisors (inspectors, etc.)","stats":null,"type":null},{"value":"302","labl":"Ministerial and office assistants","stats":null,"type":null},{"value":"309","labl":"Clerical and other supervisors, other","stats":null,"type":null},{"value":"310","labl":"Village officials","stats":null,"type":null},{"value":"320","labl":"Stenographers and 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labellers and related workers","stats":null,"type":null},{"value":"979","labl":"Material handling equipment operators, n.e.c.","stats":null,"type":null},{"value":"980","labl":"Supervisors &foremen, transport equipment operation","stats":null,"type":null},{"value":"981","labl":"Ships 'deck ratings, barge crews and boatmen","stats":null,"type":null},{"value":"982","labl":"Ships' engine room ratings","stats":null,"type":null},{"value":"983","labl":"Drivers, railways","stats":null,"type":null},{"value":"984","labl":"Firemen, railways","stats":null,"type":null},{"value":"985","labl":"Pointsmen, signalmen and shunters, railways","stats":null,"type":null},{"value":"986","labl":"Tram car and motor vehicle drivers","stats":null,"type":null},{"value":"987","labl":"Drivers, animal and animal drawn vehicles","stats":null,"type":null},{"value":"988","labl":"Cycle rickshaw drivers and rickshaw pullers","stats":null,"type":null},{"value":"989","labl":"Transport equipment operators and drivers, n.e.c.","stats":null,"type":null},{"value":"990","labl":"Labourers, other","stats":null,"type":null},{"value":"999","labl":"Invalid","stats":null,"type":null},{"value":"X01","labl":"Workers without occupations, metric and above","stats":null,"type":null},{"value":"X02","labl":"Workers without occupations, literate","stats":null,"type":null},{"value":"X09","labl":"Workers without occupations, others","stats":null,"type":null},{"value":"X10","labl":"Workers reporting occupations unidentified or unclassified","stats":null,"type":null},{"value":"X99","labl":"Workers not reporting any occupation","stats":null,"type":null}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V55","name":"B3_q4","file_id":"F2","var_intrvl":"discrete","var_start_pos":"57","var_end_pos":"57","var_width":"1","var_rec_seg_no":"1","labl":"Household type","var_qstn_qstnlit":"Household type","var_qstn_ivulnstr":"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.\n        For the rural areas, the selected household will be assigned the appropriate type code out of the following five different household type codes:\n       self-employed in non-agriculture\u2026\u2026  1        self-employed in agriculture ....\u2026...... 4\n       agricultural labour ........................\u2026....2        others .................................................. 9\n       other labour  \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026. 3\n\nFor urban areas, the household type codes are as follows:\n           self-employed - 1,   regular wage\/salary earning - 2,   casual labour - 3,   others - 9.\n\nFor a rural household, if a single source (among the five sources of income listed in the preceding paragraph) contributes 50% or more of the household's income from economic activities during the last 365 days, it will be assigned the type code (1, 2, 3, 4 or 9) corresponding to that source. \n\nFor urban areas the different urban type codes correspond to four sources of household income, unlike the rural sector where five sources are considered. An urban household will be assigned the type code 1, 2, 3 or 9 corresponding to the major source of its income from economic activities during the last 365 days. A household, which does not have any income from economic activities, will get type code 9 (others).","var_sumstat":[{"value":"39417","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"10961","type":"freq"},{"value":"2","labl":null,"stats":"11107","type":"freq"},{"value":"3","labl":null,"stats":"3681","type":"freq"},{"value":"4","labl":null,"stats":"9242","type":"freq"},{"value":"9","labl":null,"stats":"4426","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V56","name":"HH_Type","file_id":"F2","var_intrvl":"discrete","var_start_pos":"58","var_end_pos":"59","var_width":"2","var_rec_seg_no":"1","labl":"Household type with sector","var_qstn_qstnlit":"Household type with sector","var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The household type code based on the means of livelihood of a household has been decided on the basis of the sources of the household's income during the 365 days preceding the date of survey.","var_catgry":[{"value":"10","labl":"Invalid - rural","stats":"6","type":"freq"},{"value":"11","labl":"self-employed in non-agriculture - rural","stats":"2825","type":"freq"},{"value":"12","labl":"agricultural labour - rural","stats":"2685","type":"freq"},{"value":"13","labl":"other labour  - rural","stats":"1864","type":"freq"},{"value":"14","labl":"self-employed in agriculture - rural","stats":"9242","type":"freq"},{"value":"19","labl":"Others - rural","stats":"2370","type":"freq"},{"value":"20","labl":"Invalid - urban","stats":"13","type":"freq"},{"value":"21","labl":"self-employed - urban","stats":"8136","type":"freq"},{"value":"22","labl":"regular wage\/salary earning - urban","stats":"8422","type":"freq"},{"value":"23","labl":"casual labour - urban","stats":"1817","type":"freq"},{"value":"29","labl":"Others - urban","stats":"2056","type":"freq"}],"var_codeinstr":"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\".","var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V57","name":"B3_q5","file_id":"F2","var_intrvl":"discrete","var_start_pos":"60","var_end_pos":"60","var_width":"1","var_rec_seg_no":"1","labl":"Religion","var_qstn_qstnlit":"What is your religion?","var_qstn_ivulnstr":"The religion of the household will be recorded against this item in codes.  If different mem\u00adbers 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 households.","var_sumstat":[{"value":"39434","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Hinduism","stats":"30192","type":"freq"},{"value":"2","labl":"Islam","stats":"5426","type":"freq"},{"value":"3","labl":"Christianity","stats":"2072","type":"freq"},{"value":"4","labl":"Sikhism","stats":"878","type":"freq"},{"value":"5","labl":"Jainism","stats":"220","type":"freq"},{"value":"6","labl":"Buddhism","stats":"354","type":"freq"},{"value":"7","labl":"Zoroastrianism","stats":"7","type":"freq"},{"value":"9","labl":"Others","stats":"285","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V58","name":"B3_q6","file_id":"F2","var_intrvl":"discrete","var_start_pos":"61","var_end_pos":"61","var_width":"1","var_rec_seg_no":"1","labl":"Social Group","var_qstn_qstnlit":"Which social group do you belong to?\nDo you come under scheduled caste or  scheduled tribe or others category?","var_qstn_ivulnstr":"Whether or not the household belongs to scheduled tribe or scheduled caste will be indicated against this item in terms of the specified codes which are :\n\n                scheduled tribe .....................  1\n                scheduled caste ....................  2\n                others ..................................  9\n\nThose who do not come under any one of first two groups will be assigned code 9 meant to cover all other categories.  In case different members belong to different social groups, the group to which the head of the households belongs will be considered as the 's\u00adocial group' and the group code appropriate for the household will be assigned.  It may be noted that household belonging to neo-Buddhist category will also be considered as scheduled caste.","var_sumstat":[{"value":"39429","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Scheduled Tribe","stats":"3907","type":"freq"},{"value":"2","labl":"Scheduled Caste","stats":"5275","type":"freq"},{"value":"3","labl":"Other Backward Class","stats":"14072","type":"freq"},{"value":"9","labl":"Others","stats":"16175","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V59","name":"B3_q7","file_id":"F2","var_intrvl":"discrete","var_start_pos":"62","var_end_pos":"63","var_width":"2","var_rec_seg_no":"1","labl":"Land possessed code","var_qstn_qstnlit":"How much land do you own?","var_qstn_ivulnstr":"The total land area possessed by the household as on the date of survey will be worked out and recorded against this item in code.","var_sumstat":[{"value":"39361","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"01","labl":"less than 0.005 hectares","stats":"10342","type":"freq"},{"value":"02","labl":"0.005 - 0.01 hectares","stats":"8220","type":"freq"},{"value":"03","labl":"0.02 - 0.20 hectares","stats":"5673","type":"freq"},{"value":"04","labl":"0.21 - 0.40 hectares","stats":"2303","type":"freq"},{"value":"05","labl":"0.41 - 1.00 hectares","stats":"3938","type":"freq"},{"value":"06","labl":"1.01  - 2.00 hectares","stats":"4232","type":"freq"},{"value":"07","labl":"2.01 \u2013 3.00 hectares","stats":"2046","type":"freq"},{"value":"08","labl":"3.01 -  4.00 hectares","stats":"1148","type":"freq"},{"value":"10","labl":"4.01 \u2013 6.00 hectares","stats":"792","type":"freq"},{"value":"11","labl":"6.01  - 8.00 hectares","stats":"292","type":"freq"},{"value":"12","labl":"greater than 8.00 hectares","stats":"375","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V60","name":"B3_q8","file_id":"F2","var_intrvl":"discrete","var_start_pos":"64","var_end_pos":"64","var_width":"1","var_rec_seg_no":"1","labl":"Dwelling unit code","var_qstn_qstnlit":"Do you own the dwelling unit? Or is it hired or otherwise occupied?","var_qstn_ivulnstr":"If the occupant owns the dwelling unit, code 1 will be recorded against item 8.  If it is taken on rent, code 2 will be entered and if it is occupied otherwise, code 9 will apply.  However, if any household is found living under trees, bridges, in pipes, etc. it will not be treated as living in dwelling unit.  For such households code 3 will be recorded. It may be noted that a dwelling unit constructed on a plot of land which is taken under long-term lease, usually 30 years or more, will be considered as being held in owner-like possession.  Similarly, a dwelling unit itself possessed by a household under a long-term lease may be treated as in owner-like possession and code 1 will be applicable in such cases also. The codes for this item are given below:\n\nowned\t1\t\nhired\t2\t\nno dwelling unit\t3\t\nothers \t9","var_sumstat":[{"value":"39417","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This item refers only to the dwelling unit or the actual residence of the sample household.  The dwelling unit may be an entire structure or may be only a part of a structure.","var_catgry":[{"value":"1","labl":"Owned","stats":"30861","type":"freq"},{"value":"2","labl":"Hired","stats":"6874","type":"freq"},{"value":"3","labl":"No dwelling unit","stats":"2","type":"freq"},{"value":"9","labl":"Others","stats":"1680","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V61","name":"B3_q9","file_id":"F2","var_intrvl":"discrete","var_start_pos":"65","var_end_pos":"65","var_width":"1","var_rec_seg_no":"1","labl":"Type of dwelling code","var_qstn_qstnlit":"What is the type of dwelling of the household? Is it an independent house or a flat or any other type of dwelling?","var_qstn_ivulnstr":"The dwelling unit of the household may be an independent house, a flat, or neither of these. The appropriate code will be entered against the item. The codes are: \n\nindependent house\t1\t\nflat\t2\t\nothers\t9\t\nno dwelling\t3","var_sumstat":[{"value":"39395","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Independent house","stats":"32314","type":"freq"},{"value":"2","labl":"Flat","stats":"4038","type":"freq"},{"value":"3","labl":"No dwelling","stats":"0","type":"freq"},{"value":"9","labl":"Others","stats":"3043","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V62","name":"B3_q10","file_id":"F2","var_intrvl":"discrete","var_start_pos":"66","var_end_pos":"66","var_width":"1","var_rec_seg_no":"1","labl":"Type of structure","var_qstn_qstnlit":"What is the type of structure of the dwelling?","var_qstn_ivulnstr":"Structures have been classified into four categories, namely, pucca, semi-pucca, serviceable katcha and unserviceable katcha, on the basis of materials used for construction.  This item is to be filled in code. The codes are:\npucca-1, semi-pucca-2, serviceable katcha -3, unserviceable katcha - 4, no structure-5.","var_sumstat":[{"value":"39368","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Pucca","stats":"28178","type":"freq"},{"value":"2","labl":"Semi-pucca","stats":"7695","type":"freq"},{"value":"3","labl":"Serviceable katchcha","stats":"3202","type":"freq"},{"value":"4","labl":"Unserviceable katchcha","stats":"293","type":"freq"},{"value":"5","labl":"No structure","stats":"0","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V63","name":"B3_q11","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"67","var_end_pos":"70","var_width":"4","var_rec_seg_no":"1","labl":"Covered area (sq. m)","var_qstn_qstnlit":"How much is the covered area of the dwelling?","var_qstn_ivulnstr":"This will be the sum of the floor areas of all the rooms, kitchen, etc., and verandah located in the house or inside the homestead land and occupied by the household. The covered area may be either owned (including owner-like possession) or rented. It should exclude area owned but rented out. The area will be recorded (to nearest integer) in square metre.  The verandah will mean a roofed space adjacent to living\/other rooms which is not walled from all sides, that is, with at least one side either open or walled to some height or protected by grille, net, etc. If entry against item 10 is 5, a dash (-) may be put against this item.","var_val_range":[{"units":null,"min":"0","max":"3000"}],"var_sumstat":[{"value":"39193","type":"vald"},{"value":"243","type":"invd"},{"value":"0","type":"min"},{"value":"3000","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V64","name":"B3_q12","file_id":"F2","var_intrvl":"discrete","var_start_pos":"71","var_end_pos":"71","var_width":"1","var_rec_seg_no":"1","labl":"Cooking code","var_qstn_qstnlit":"What is the primary source of energy that is being used by the household for cooking?","var_qstn_ivulnstr":"Against this item, the code corresponding to the primary source of energy that is used by the household for cooking during last 30 days preceding the date of survey will be recorded.  If more than one type of energy is utilised, the primary or principal one on the basis of its extent of use will have to be identified and the corresponding code will be noted in the appropriate box.  The codes are: \n\ncooking:  coke, coal and charcoal- 1, firewood and chips- 2,  LPG- 3, gobar gas - 4, dung cake- 5, kerosene- 6, electricity- 7, others- 9,  no cooking arrangement- 8","var_sumstat":[{"value":"39405","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"coke, coal and charcoal","stats":"986","type":"freq"},{"value":"2","labl":"firewood and chips","stats":"17027","type":"freq"},{"value":"3","labl":"LPG","stats":"16119","type":"freq"},{"value":"4","labl":"gobar gas","stats":"116","type":"freq"},{"value":"5","labl":"dung cake","stats":"1563","type":"freq"},{"value":"6","labl":"kerosene","stats":"1786","type":"freq"},{"value":"7","labl":"electricity","stats":"81","type":"freq"},{"value":"8","labl":"No cooking arrangement","stats":"1116","type":"freq"},{"value":"9","labl":"others","stats":"611","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V65","name":"B3_q13","file_id":"F2","var_intrvl":"discrete","var_start_pos":"72","var_end_pos":"72","var_width":"1","var_rec_seg_no":"1","labl":"Lighting code","var_qstn_qstnlit":"What is the primary source of energy that is being used by the household for lighting?","var_qstn_ivulnstr":"Against this item, the code corresponding to the primary source of energy that is used by the household for lighting during last 30 days preceding the date of survey will be recorded.  If more than one type of energy is utilised, the primary or principal one on the basis of its extent of use will have to be identified and the corresponding code will be noted in the appropriate box.  The codes are: \n\nlighting: kerosene -1, other oil -2, gas - 3, candle - 4, electricity - 5, others -9,\n               no lighting arrangement - 6","var_sumstat":[{"value":"39396","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"kerosene","stats":"6963","type":"freq"},{"value":"2","labl":"other oil","stats":"54","type":"freq"},{"value":"3","labl":"gas","stats":"57","type":"freq"},{"value":"4","labl":"candle","stats":"68","type":"freq"},{"value":"5","labl":"electricity","stats":"31937","type":"freq"},{"value":"6","labl":"No lighting arrangement","stats":"155","type":"freq"},{"value":"9","labl":"others","stats":"162","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V66","name":"B3_q14","file_id":"F2","var_dcml":"2","var_intrvl":"contin","var_start_pos":"73","var_end_pos":"80","var_width":"8","var_rec_seg_no":"1","labl":"Monthly per capita expenditure","var_qstn_ivulnstr":"This item will be filled in only after completing blocks 5 to 12. It will be copied from column 6 of item srl. no. 37 of block 12. (The sum total of the relevant sub-total items (as indicated in block 12) adjusted for 30 days will be divided by the household size to obtain the monthly per capita expenditure.)","var_val_range":[{"units":"REAL","min":"25.08","max":"52371.29"}],"var_sumstat":[{"value":"39436","type":"vald"},{"value":"0","type":"invd"},{"value":"25.08","type":"min"},{"value":"52371.29","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V67","name":"B3_q15","file_id":"F2","var_intrvl":"discrete","var_start_pos":"81","var_end_pos":"81","var_width":"1","var_rec_seg_no":"1","labl":"Performance of any ceremony last month","var_qstn_qstnlit":"Did the household perform any ceremony?","var_qstn_ivulnstr":"If the household is found to have performed any ceremony during the last 30 days, code '1' will be recorded against this item. Otherwise, '2' will be recorded. \n\nCeremonies are frequently performed to solemnize some events of life such as birth, marriage, etc. There are also rites consequent upon the death of a person.  Such ceremonies may be performed by household members as required under the social\/religious customs without incurring expenditure for entertaining guests.  On the other hand, some households may spend a considerable amount of money for entertaining guests with meals during these occasions. Only the latter type of ceremony, in other words, only those ceremonies on which guests are entertained with meals (not just snacks) will be considered for the purposes of item 15 as ceremonies performed. Even an occasion which is not a traditional occasion for celebration or social gathering will be considered a ceremony if meals are served to a large number of guests by the household.","var_sumstat":[{"value":"39425","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Ceremonies are frequently performed to solemnize some events of life such as birth, marriage, etc. There are also rites consequent upon the death of a person.  Such ceremonies may be performed by household members as required under the social\/religious customs without incurring expenditure for entertaining guests.  On the other hand, some households may spend a considerable amount of money for entertaining guests with meals during these occasions. Only the latter type of ceremony, in other words, only those ceremonies on which guests are entertained with meals (not just snacks) will be considered for the purposes of item 15 as ceremonies performed. Even an occasion which is not a traditional occasion for celebration or social gathering will be considered a ceremony if meals are served to a large number of guests by the household.","var_catgry":[{"value":"1","labl":"Yes","stats":"898","type":"freq"},{"value":"2","labl":"No","stats":"38527","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V68","name":"B3_q16","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"82","var_end_pos":"85","var_width":"4","var_rec_seg_no":"1","labl":"No. of meals served to non-hhold members last month","var_qstn_qstnlit":"How many meals were served to non household members by the household during the last 30 days?","var_qstn_ivulnstr":"The total number of meals served to non-household members during the last 30 days will be recorded against this item.","var_val_range":[{"units":null,"min":"0","max":"1248"}],"var_sumstat":[{"value":"29022","type":"vald"},{"value":"10414","type":"invd"},{"value":"0","type":"min"},{"value":"1248","type":"max"}],"var_txt":"The total number of meals served to non-household members during the last 30 days have been recorded against this item.","var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V69","name":"B3_q17","file_id":"F2","var_intrvl":"discrete","var_start_pos":"86","var_end_pos":"86","var_width":"1","var_rec_seg_no":"1","labl":"Purchase any cereal from ration\/ fair price shop last month","var_qstn_qstnlit":"Did you purchase any cereal from ration or fair price shop last month?","var_qstn_ivulnstr":"The answer against this question will be recorded in code.  The codes are: yes-1, no-2.  Purchase of foodgrains by workers from shops run by their employer at concessional or subsidised rates (this is prevalent, for example, in tea garden areas) will not be considered as purchase from ration\/fair price 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refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu & Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman & Nicobar, Chandigarh, Dadra & Nagar Haveli, Daman & Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.","var_catgry":[{"value":"01","labl":"Jammu & Kashmir","stats":"6279","type":"freq"},{"value":"02","labl":"Himachal Pradesh","stats":"3655","type":"freq"},{"value":"03","labl":"Punjab","stats":"6946","type":"freq"},{"value":"04","labl":"Chandigarh","stats":"309","type":"freq"},{"value":"05","labl":"Uttaranchal","stats":"1810","type":"freq"},{"value":"06","labl":"Haryana","stats":"4353","type":"freq"},{"value":"07","labl":"Delhi","stats":"1372","type":"freq"},{"value":"08","labl":"Rajasthan","stats":"11098","type":"freq"},{"value":"09","labl":"Uttar Pradesh","stats":"21332","type":"freq"},{"value":"10","labl":"Bihar","stats":"11167","type":"freq"},{"value":"11","labl":"Sikkim","stats":"1007","type":"freq"},{"value":"12","labl":"Arunachal Pradesh","stats":"1791","type":"freq"},{"value":"13","labl":"Nagaland","stats":"1545","type":"freq"},{"value":"14","labl":"Manipur","stats":"2598","type":"freq"},{"value":"15","labl":"Mizoram","stats":"2110","type":"freq"},{"value":"16","labl":"Tripura","stats":"3218","type":"freq"},{"value":"17","labl":"Meghalaya","stats":"1911","type":"freq"},{"value":"18","labl":"Assam","stats":"6907","type":"freq"},{"value":"19","labl":"West Bengal","stats":"12490","type":"freq"},{"value":"20","labl":"Jharkhand","stats":"6316","type":"freq"},{"value":"21","labl":"Orissa","stats":"7186","type":"freq"},{"value":"22","labl":"Chhattisgarh","stats":"2779","type":"freq"},{"value":"23","labl":"Madhya Pradesh","stats":"10748","type":"freq"},{"value":"24","labl":"Gujrat","stats":"7972","type":"freq"},{"value":"25","labl":"Daman & Diu","stats":"298","type":"freq"},{"value":"26","labl":"Dadra & Nagar Haveli","stats":"266","type":"freq"},{"value":"27","labl":"Maharastra","stats":"14345","type":"freq"},{"value":"28","labl":"Andhra Pardesh","stats":"11013","type":"freq"},{"value":"29","labl":"Karnataka","stats":"7633","type":"freq"},{"value":"30","labl":"Goa","stats":"691","type":"freq"},{"value":"31","labl":"Lakshadweep","stats":"381","type":"freq"},{"value":"32","labl":"Kerala","stats":"6984","type":"freq"},{"value":"33","labl":"Tamil Nadu","stats":"10092","type":"freq"},{"value":"34","labl":"Pondicheri","stats":"498","type":"freq"},{"value":"35","labl":"Andaman & Nicober","stats":"922","type":"freq"}],"var_codeinstr":"This variable has been derived from the variable \"State - region\" to enable the users to easily access state wise data.","var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V85","name":"District","file_id":"F3","var_intrvl":"discrete","var_start_pos":"41","var_end_pos":"42","var_width":"2","var_rec_seg_no":"1","labl":"District","var_qstn_qstnlit":"District","var_qstn_ivulnstr":"District to which the sample village\/ block belongs to will be recorded here as per the code list.","var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V86","name":"Stratum","file_id":"F3","var_intrvl":"discrete","var_start_pos":"43","var_end_pos":"44","var_width":"2","var_rec_seg_no":"1","labl":"Stratum Number","var_qstn_qstnlit":"Stratum Number","var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Within each district of a State\/ UT, two basic strata were formed:\n(i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all 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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.","var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V87","name":"SubStratum","file_id":"F3","var_intrvl":"discrete","var_start_pos":"45","var_end_pos":"46","var_width":"2","var_rec_seg_no":"1","labl":"Sub-Stratum","var_qstn_qstnlit":"Sub-Stratum","var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Allocation to sub-strata\n\nRural sector: \n462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.\n\nUrban sector: \nFor the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.\n\nFor details of sub-stratification see the manual \"Introduction Concepts, Definitions and Procedures\" attached in external resources.","var_catgry":[{"value":"01","labl":null,"stats":"45577","type":"freq"},{"value":"02","labl":null,"stats":"70677","type":"freq"},{"value":"03","labl":null,"stats":"26131","type":"freq"},{"value":"04","labl":null,"stats":"18889","type":"freq"},{"value":"05","labl":null,"stats":"9810","type":"freq"},{"value":"06","labl":null,"stats":"7646","type":"freq"},{"value":"07","labl":null,"stats":"3520","type":"freq"},{"value":"08","labl":null,"stats":"2637","type":"freq"},{"value":"09","labl":null,"stats":"1466","type":"freq"},{"value":"10","labl":null,"stats":"1191","type":"freq"},{"value":"11","labl":null,"stats":"566","type":"freq"},{"value":"12","labl":null,"stats":"486","type":"freq"},{"value":"13","labl":null,"stats":"433","type":"freq"},{"value":"14","labl":null,"stats":"330","type":"freq"},{"value":"15","labl":null,"stats":"108","type":"freq"},{"value":"16","labl":null,"stats":"149","type":"freq"},{"value":"17","labl":null,"stats":"115","type":"freq"},{"value":"18","labl":null,"stats":"83","type":"freq"},{"value":"19","labl":null,"stats":"78","type":"freq"},{"value":"20","labl":null,"stats":"39","type":"freq"},{"value":"21","labl":null,"stats":"43","type":"freq"},{"value":"22","labl":null,"stats":"48","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V88","name":"SubRound","file_id":"F3","var_intrvl":"discrete","var_start_pos":"47","var_end_pos":"47","var_width":"1","var_rec_seg_no":"1","labl":"Sub-Round","var_qstn_qstnlit":"Sub-Round","var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_catgry":[{"value":"1","labl":"Sub-round 1","stats":"46276","type":"freq"},{"value":"2","labl":"Sub-round 2","stats":"47722","type":"freq"},{"value":"3","labl":"Sub-round 3","stats":"47843","type":"freq"},{"value":"4","labl":"Sub-round 4","stats":"48181","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V89","name":"SubSample","file_id":"F3","var_intrvl":"discrete","var_start_pos":"48","var_end_pos":"48","var_width":"1","var_rec_seg_no":"1","labl":"Sub - sample","var_qstn_qstnlit":"Sub - sample","var_qstn_ivulnstr":"Record 1 or 2 depending on whether the selected sample village\/block is central sample or state sample","var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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 \nsampling 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. \n \nInterpenetrating 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. \n\nThe 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.","var_catgry":[{"value":"1","labl":"Central sample","stats":"99762","type":"freq"},{"value":"2","labl":"State sample","stats":"90260","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V90","name":"FODSubRegion","file_id":"F3","var_intrvl":"discrete","var_start_pos":"49","var_end_pos":"52","var_width":"4","var_rec_seg_no":"1","labl":"FOD Sub-Region","var_qstn_qstnlit":"FOD Sub-Region","var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V91","name":"SegmentNo","file_id":"F3","var_intrvl":"discrete","var_start_pos":"53","var_end_pos":"53","var_width":"1","var_rec_seg_no":"1","labl":"Segment Number","var_qstn_qstnlit":"Segment Number","var_qstn_ivulnstr":"Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.\n\nListing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.\n\nFormation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.\n\nA large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and\/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's\/sb's formed in the FSU, two hg's\/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME\/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg\/sb may be selected randomly and termed as Segment 2. \n\nListing and selection of households\/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg\/sb formation will not have segment 2.","var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"144790","type":"freq"},{"value":"2","labl":null,"stats":"45232","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V92","name":"Stage2_Stratum","file_id":"F3","var_intrvl":"discrete","var_start_pos":"54","var_end_pos":"54","var_width":"1","var_rec_seg_no":"1","labl":"Second Stage Stratum","var_qstn_qstnlit":"Second Stage Stratum","var_qstn_ivulnstr":"Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.","var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Formation of second-stage strata and allocation of households: \nAll the households listed in the selected village\/ block\/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.\n\nFor the rural sector, a cut-off point 'X' (in hectares) was determined at State\/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State\/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.\n\nSimilarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State\/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE\nequal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.","var_catgry":[{"value":"1","labl":null,"stats":"99716","type":"freq"},{"value":"2","labl":null,"stats":"90306","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V93","name":"Hhold_no","file_id":"F3","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"55","var_end_pos":"55","var_width":"1","var_rec_seg_no":"1","labl":"Sample Household Number","var_qstn_qstnlit":"Sample Household Number","var_qstn_ivulnstr":"Sample household number:  The sample household number (i.e., order of selection)  of the selected household is to be copied from column (11) or (12) of block 5a of Schedule 0.0.","var_val_range":[{"units":null,"min":"1","max":"4"}],"var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"},{"value":"1","type":"min"},{"value":"4","type":"max"}],"var_catgry":[{"value":"1","labl":null,"stats":"133394","type":"freq"},{"value":"2","labl":null,"stats":"54175","type":"freq"},{"value":"3","labl":null,"stats":"1409","type":"freq"},{"value":"4","labl":null,"stats":"1044","type":"freq"}],"var_format":"numeric","var_format_schema":"other","fid":"F3"},{"vid":"V94","name":"Level","file_id":"F3","var_intrvl":"discrete","var_start_pos":"56","var_end_pos":"57","var_width":"2","var_rec_seg_no":"1","labl":"Level","var_qstn_qstnlit":"Level","var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"03","labl":null,"stats":"190022","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V95","name":"B4_q1","file_id":"F3","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"58","var_end_pos":"59","var_width":"2","var_rec_seg_no":"1","labl":"Serial No. of members","var_qstn_qstnlit":"Serial No. of members","var_qstn_ivulnstr":"All the members of the sample household will be listed in block 4 using a continuous serial number in column (1). In the list, the head of the household will appear first followed by head's spouse, the first son, first son's wife and their children, second son, second son's wife and their children and so on. After the sons are enumerated, the daughters will be listed followed by other relations, dependants, servants, etc.","var_val_range":[{"units":null,"min":"1","max":"39"}],"var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"},{"value":"1","type":"min"},{"value":"39","type":"max"}],"var_catgry":[{"value":"1","labl":null,"stats":"39436","type":"freq"},{"value":"2","labl":null,"stats":"36448","type":"freq"},{"value":"3","labl":null,"stats":"32845","type":"freq"},{"value":"4","labl":null,"stats":"27674","type":"freq"},{"value":"5","labl":null,"stats":"19667","type":"freq"},{"value":"6","labl":null,"stats":"12520","type":"freq"},{"value":"7","labl":null,"stats":"7561","type":"freq"},{"value":"8","labl":null,"stats":"4655","type":"freq"},{"value":"9","labl":null,"stats":"2985","type":"freq"},{"value":"10","labl":null,"stats":"1999","type":"freq"},{"value":"11","labl":null,"stats":"1315","type":"freq"},{"value":"12","labl":null,"stats":"907","type":"freq"},{"value":"13","labl":null,"stats":"610","type":"freq"},{"value":"14","labl":null,"stats":"421","type":"freq"},{"value":"15","labl":null,"stats":"298","type":"freq"},{"value":"16","labl":null,"stats":"185","type":"freq"},{"value":"17","labl":null,"stats":"127","type":"freq"},{"value":"18","labl":null,"stats":"90","type":"freq"},{"value":"19","labl":null,"stats":"61","type":"freq"},{"value":"20","labl":null,"stats":"45","type":"freq"},{"value":"21","labl":null,"stats":"32","type":"freq"},{"value":"22","labl":null,"stats":"26","type":"freq"},{"value":"23","labl":null,"stats":"24","type":"freq"},{"value":"24","labl":null,"stats":"20","type":"freq"},{"value":"25","labl":null,"stats":"15","type":"freq"},{"value":"26","labl":null,"stats":"13","type":"freq"},{"value":"27","labl":null,"stats":"8","type":"freq"},{"value":"28","labl":null,"stats":"6","type":"freq"},{"value":"29","labl":null,"stats":"4","type":"freq"},{"value":"30","labl":null,"stats":"4","type":"freq"},{"value":"31","labl":null,"stats":"4","type":"freq"},{"value":"32","labl":null,"stats":"4","type":"freq"},{"value":"33","labl":null,"stats":"2","type":"freq"},{"value":"34","labl":null,"stats":"2","type":"freq"},{"value":"35","labl":null,"stats":"2","type":"freq"},{"value":"36","labl":null,"stats":"2","type":"freq"},{"value":"37","labl":null,"stats":"2","type":"freq"},{"value":"38","labl":null,"stats":"2","type":"freq"},{"value":"39","labl":null,"stats":"1","type":"freq"}],"var_format":"numeric","var_format_schema":"other","fid":"F3"},{"vid":"V96","name":"B4_q3","file_id":"F3","var_intrvl":"discrete","var_start_pos":"60","var_end_pos":"60","var_width":"1","var_rec_seg_no":"1","labl":"Relation to Head Code","var_qstn_qstnlit":"What is your relation to head of the household?","var_qstn_ivulnstr":"The relationship of each member of the household to the head of the household (for the head, the relationship is 'self') will be recorded in this column. The codes are:\n\n        self ................................  1             grandchild ...................................................... 6\n        spouse of head...............  2             father\/mother\/father-in-law\/mother- in-law ... 7\n        married child ................   3            brother\/sister\/brother-in-law\/sister-in-law\n        spouse of married child .. 4                                                      \/other relatives....... 8 \n        unmarried child .............. 5            servant\/employees\/other non-relatives ........... 9","var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Self","stats":"39437","type":"freq"},{"value":"2","labl":"Spouse of head","stats":"31395","type":"freq"},{"value":"3","labl":"Married child","stats":"10505","type":"freq"},{"value":"4","labl":"Spouse of married child","stats":"10391","type":"freq"},{"value":"5","labl":"Unmarried child","stats":"66908","type":"freq"},{"value":"6","labl":"Grandchild","stats":"17381","type":"freq"},{"value":"7","labl":"Father\/mother\/father-in-law\/mother-in-law","stats":"5049","type":"freq"},{"value":"8","labl":"Brother\/sister\/brother-in-law\/sister-in-law\/other relatives","stats":"8342","type":"freq"},{"value":"9","labl":"Servant\/employee\/or non-relatives","stats":"614","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V97","name":"B4_q4","file_id":"F3","var_intrvl":"discrete","var_start_pos":"61","var_end_pos":"61","var_width":"1","var_rec_seg_no":"1","labl":"Sex Code","var_qstn_qstnlit":"Sex of the member","var_qstn_ivulnstr":"The sex of each member of the household will be recorded in this column. For eunuchs, code '1' will be recorded.","var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Male","stats":"98712","type":"freq"},{"value":"2","labl":"Female","stats":"91310","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V98","name":"B4_q5","file_id":"F3","var_dcml":"0","var_intrvl":"contin","var_start_pos":"62","var_end_pos":"64","var_width":"3","var_rec_seg_no":"1","labl":"Age","var_qstn_qstnlit":"Age of the member","var_qstn_ivulnstr":"The age in completed years of all the members listed will be ascertained and recorded in this column. For infants below one year of age, '0' will be entered. As in the previous round, ages above 99 will be recorded in three digits.","var_val_range":[{"units":null,"min":"0","max":"113"}],"var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"min"},{"value":"113","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F3"},{"vid":"V99","name":"B4_q6","file_id":"F3","var_intrvl":"discrete","var_start_pos":"65","var_end_pos":"65","var_width":"1","var_rec_seg_no":"1","labl":"Marital Status Code","var_qstn_qstnlit":"Marital status of the member","var_qstn_ivulnstr":"The marital status of each member will be recorded in this column. The codes are: \n                  never married - 1, currently married - 2, widowed - 3, divorced\/separated - 4.","var_sumstat":[{"value":"189998","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Never married","stats":"91747","type":"freq"},{"value":"2","labl":"Currently married","stats":"88764","type":"freq"},{"value":"3","labl":"Widowed","stats":"8852","type":"freq"},{"value":"4","labl":"Divorced\/separated","stats":"635","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V100","name":"B4_q7","file_id":"F3","var_intrvl":"discrete","var_start_pos":"66","var_end_pos":"67","var_width":"2","var_rec_seg_no":"1","labl":"General Education Code","var_qstn_qstnlit":"Education of the member","var_qstn_ivulnstr":"Information regarding the level of general education attained by the members of the household listed will be recorded in this column. For the purpose of making entries in this column, only the course successfully completed will be considered. For instance, for a person who has studied up to say, first year B.A., his\/her educational attainment will be considered as higher secondary (code 07).  For a person who has studied up to 12th standard but has not appeared for the final examination or has failed, his\/her educational attainment will be considered under 'secondary' (code 06). The relevant codes to be used for recording entries in this column are:\nnot literate -01, literate without formal schooling -02, literate but below primary -03, primary -04, middle -05,  secondary -06, higher secondary -07,  diploma\/certificate course -08,  graduate - 10, post graduate and above  -11.\n\nA 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 will be assigned code 01. Those who are literate but never attended any school will be assigned code 02.  Those who are literate and have attended school but are yet to pass a primary standard examination will get code 03.  Similarly, codes 04, 05, 06 and 07 etc. will indicate the successive higher standards of examinations passed.  \nPersons who have attained proficiency in Oriental languages (e.g. Sanskrit, Persian, etc.) through formal but not the general type of education will be classified appropriately at the equivalent level of general education standard.","var_sumstat":[{"value":"189862","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"01","labl":"Not literate","stats":"55054","type":"freq"},{"value":"02","labl":"Literate without formal schooling","stats":"1670","type":"freq"},{"value":"03","labl":"Literate but below primary","stats":"26782","type":"freq"},{"value":"04","labl":"Primary","stats":"26696","type":"freq"},{"value":"05","labl":"Middle","stats":"32762","type":"freq"},{"value":"06","labl":"Secondary","stats":"19570","type":"freq"},{"value":"07","labl":"Higher secondary","stats":"12423","type":"freq"},{"value":"08","labl":"Diploma \/ certificate course","stats":"1550","type":"freq"},{"value":"10","labl":"Graduate","stats":"10235","type":"freq"},{"value":"11","labl":"Post graduate and above","stats":"3120","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F3"},{"vid":"V101","name":"B4_q8","file_id":"F3","var_dcml":"0","var_intrvl":"contin","var_start_pos":"68","var_end_pos":"69","var_width":"2","var_rec_seg_no":"1","labl":"No. of days stayed away","var_qstn_qstnlit":"How many days a member has stayed away from the household?","var_qstn_ivulnstr":"The number of days for which the member 'stayed away from home' during the 30 days preceding the date of enquiry should be recorded here. A continuous absence from home for 24 hours will be reckoned as a 'day stayed away'. That is, the entry will be made in completed number of days and any fraction of a day will be ignored. The location of the place where the person stayed, having been away from his\/her own household, may also be within the same village\/town and staying away will not only mean physical absence but also non-participation in food consumption from his\/her own household. For example, if a member stayed away for two days, but consumed food prepared at home during these two days, then that member will not be considered for this item as staying away.  For members who did not stay away for even 1 day during the last 30 days, 0 will be recorded.","var_val_range":[{"units":null,"min":"0","max":"30"}],"var_sumstat":[{"value":"55785","type":"vald"},{"value":"134237","type":"invd"},{"value":"0","type":"min"},{"value":"30","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F3"},{"vid":"V102","name":"B4_q9","file_id":"F3","var_dcml":"0","var_intrvl":"contin","var_start_pos":"70","var_end_pos":"70","var_width":"1","var_rec_seg_no":"1","labl":"No. of meals taken in a day","var_qstn_qstnlit":"How many meals do you usually take in a day?","var_qstn_ivulnstr":"The number of meals consumed by a person is usually reported as 2 or 3.  For a person who takes food only once in a day, the entry will be 1. One may also come across a person who takes food more than three times a day. For such persons, however, only 3 should be entered. That is, in this column, the recorded number of meals taken in a day, even if it is reported to be higher, should not exceed 3. In addition, for infants of age '0' as well as for children who subsist on milk only, '0' may be recorded against this item.","var_val_range":[{"units":null,"min":"0","max":"3"}],"var_sumstat":[{"value":"189872","type":"vald"},{"value":"150","type":"invd"},{"value":"0","type":"min"},{"value":"3","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F3"},{"vid":"V103","name":"B4_q10","file_id":"F3","var_dcml":"0","var_intrvl":"contin","var_start_pos":"71","var_end_pos":"72","var_width":"2","var_rec_seg_no":"1","labl":"No. of meals taken away from home free of cost  - from school, balwadi etc.","var_qstn_qstnlit":"If  you or any member of the household  take meals free of cost from school, balwadi etc, then how many such meals are taken in a day?","var_qstn_ivulnstr":"Columns (10), (11) and (12) pertain to meals taken away from home without payment.  Number of meals taken outside home on payment and at home during last 30 days preceding the date of survey, for each member of the household will be recorded against columns (13) and (14). There are schools\/balwadis, etc. which provide standard food to all or some students as midday meal, tiffin, etc. free or at subsidised rate. Such meals are to be considered as meals taken away from home. If such food is received free it will be recorded in column (10).","var_val_range":[{"units":null,"min":"0","max":"90"}],"var_sumstat":[{"value":"36882","type":"vald"},{"value":"153140","type":"invd"},{"value":"0","type":"min"},{"value":"90","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F3"},{"vid":"V104","name":"B4_q11","file_id":"F3","var_dcml":"0","var_intrvl":"contin","var_start_pos":"73","var_end_pos":"74","var_width":"2","var_rec_seg_no":"1","labl":"No. of meals taken away from home free of cost  - from employer","var_qstn_qstnlit":"If you or any member of the household  take meals free of cost from employer, then how many such meals do you take in a day?","var_qstn_ivulnstr":"Sometimes meals are provided by the employer. These may be as perquisites or as part of wages in kind. These meals are generally consumed at the place of work and are to be considered as meals taken away from home. It may not be rare that meals provided by the employer are brought home by the employees and consumed there. Such meals are also to be considered as meals taken away from home. In column (11), the number of such meals received and consumed during the reference period by an individual member will be recorded.","var_val_range":[{"units":null,"min":"0","max":"90"}],"var_sumstat":[{"value":"32570","type":"vald"},{"value":"157452","type":"invd"},{"value":"0","type":"min"},{"value":"90","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F3"},{"vid":"V105","name":"B4_q12","file_id":"F3","var_dcml":"0","var_intrvl":"contin","var_start_pos":"75","var_end_pos":"76","var_width":"2","var_rec_seg_no":"1","labl":"No. of meals taken away from home free of cost  - from others","var_qstn_qstnlit":"If you or any member of the household take meals free of cost from others, then how many such meals do you take in a day?","var_qstn_ivulnstr":"Meals consumed as guests in other households, will also be taken into account while making entries in column (12).","var_val_range":[{"units":null,"min":"0","max":"90"}],"var_sumstat":[{"value":"45363","type":"vald"},{"value":"144659","type":"invd"},{"value":"0","type":"min"},{"value":"90","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F3"},{"vid":"V106","name":"B4_q13","file_id":"F3","var_dcml":"0","var_intrvl":"contin","var_start_pos":"77","var_end_pos":"78","var_width":"2","var_rec_seg_no":"1","labl":"No. of meals taken away from home - on payment","var_qstn_qstnlit":"If you or any member of the household take meals away from home on payment, then how many such meals do you take?","var_qstn_ivulnstr":"Meals received at subsidised rate will be recorded in column (13). There are institutions which provide canteen facilities to their students. Students can purchase food of their choice and to their requirements from those canteens on payment. In such cases also entry will be made in column (13).","var_val_range":[{"units":null,"min":"0","max":"90"}],"var_sumstat":[{"value":"36406","type":"vald"},{"value":"153616","type":"invd"},{"value":"0","type":"min"},{"value":"90","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F3"},{"vid":"V107","name":"B4_q14","file_id":"F3","var_dcml":"0","var_intrvl":"contin","var_start_pos":"79","var_end_pos":"80","var_width":"2","var_rec_seg_no":"1","labl":"Meals taken at home","var_qstn_qstnlit":"How many meals are taken at home in a day?","var_qstn_ivulnstr":"In column (14), the number of meals taken at home by each member of the household during the period of 30 days preceding the date of survey will be recorded. A meal will be considered to be taken at home if the meal is prepared at home irrespective of the place where it is 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It has been calculated as follows:\nWGT_SS= MLT\/100","var_format":"numeric","var_format_schema":"other","fid":"F3"},{"vid":"V112","name":"WGT_SS_Combined","file_id":"F3","var_dcml":"2","var_intrvl":"contin","var_start_pos":"102","var_end_pos":"108","var_width":"7","var_rec_seg_no":"1","labl":"Multiplier - Combined","var_val_range":[{"units":"REAL","min":"0.00255","max":"3517.32115"}],"var_sumstat":[{"value":"190022","type":"vald"},{"value":"0","type":"invd"},{"value":"0.00255","type":"min"},{"value":"3517.321","type":"max"}],"var_codeinstr":"For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:\n\nWGT_SS_Combined = MLT\/100, if NSS=NSC\n\notherwise\n\nWGT_SS_Combined = MLT\/200","var_format":"numeric","var_format_schema":"other","fid":"F3"},{"vid":"V113","name":"HHID","file_id":"F4","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"9","var_width":"9","var_rec_seg_no":"1","labl":"Key to identify a household","var_sumstat":[{"value":"1889174","type":"vald"},{"value":"0","type":"invd"}],"var_codeinstr":"This variable has been derived for identifying  a household by combining serial no. of village \/ block, segment number, second stage stratum and sample household number.","var_format":"character","var_format_schema":"other","fid":"F4"},{"vid":"V114","name":"CentreCodeRoundShift","file_id":"F4","var_intrvl":"discrete","var_start_pos":"10","var_end_pos":"12","var_width":"3","var_rec_seg_no":"1","labl":"Centre code, Round, Shift","var_qstn_qstnlit":"Centre code, Round, Shift","var_sumstat":[{"value":"1889174","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F4"},{"vid":"V115","name":"Vill_Blk_Slno","file_id":"F4","var_intrvl":"discrete","var_start_pos":"13","var_end_pos":"17","var_width":"5","var_rec_seg_no":"1","labl":"Serial no of village \/ Block","var_qstn_qstnlit":"Serial no of village \/ Block","var_sumstat":[{"value":"1889174","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. 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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.","var_format":"character","var_format_schema":"other","fid":"F4"},{"vid":"V124","name":"SubStratum","file_id":"F4","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"35","var_width":"2","var_rec_seg_no":"1","labl":"Sub-Stratum","var_qstn_qstnlit":"Sub-Stratum","var_sumstat":[{"value":"1889174","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Allocation to sub-strata\n\nRural sector: \n462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.\n\nUrban sector: \nFor the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.\n\nFor details of sub-stratification see the manual \"Introduction Concepts, Definitions and Procedures\" attached in external resources.","var_catgry":[{"value":"01","labl":null,"stats":"489154","type":"freq"},{"value":"02","labl":null,"stats":"745389","type":"freq"},{"value":"03","labl":null,"stats":"219508","type":"freq"},{"value":"04","labl":null,"stats":"162241","type":"freq"},{"value":"05","labl":null,"stats":"89329","type":"freq"},{"value":"06","labl":null,"stats":"71348","type":"freq"},{"value":"07","labl":null,"stats":"33890","type":"freq"},{"value":"08","labl":null,"stats":"27134","type":"freq"},{"value":"09","labl":null,"stats":"14604","type":"freq"},{"value":"10","labl":null,"stats":"11395","type":"freq"},{"value":"11","labl":null,"stats":"5665","type":"freq"},{"value":"12","labl":null,"stats":"5430","type":"freq"},{"value":"13","labl":null,"stats":"4645","type":"freq"},{"value":"14","labl":null,"stats":"3282","type":"freq"},{"value":"15","labl":null,"stats":"1152","type":"freq"},{"value":"16","labl":null,"stats":"1233","type":"freq"},{"value":"17","labl":null,"stats":"1209","type":"freq"},{"value":"18","labl":null,"stats":"735","type":"freq"},{"value":"19","labl":null,"stats":"738","type":"freq"},{"value":"20","labl":null,"stats":"332","type":"freq"},{"value":"21","labl":null,"stats":"353","type":"freq"},{"value":"22","labl":null,"stats":"408","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F4"},{"vid":"V125","name":"SubRound","file_id":"F4","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"36","var_width":"1","var_rec_seg_no":"1","labl":"Sub-Round","var_qstn_qstnlit":"Sub-Round","var_sumstat":[{"value":"1889174","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. 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Each sub- sample is  drawn by the same \nsampling 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. \n \nInterpenetrating 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. \n\nThe 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.","var_catgry":[{"value":"1","labl":"Central sample","stats":"991205","type":"freq"},{"value":"2","labl":"State sample","stats":"897969","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F4"},{"vid":"V127","name":"FODSubRegion","file_id":"F4","var_intrvl":"discrete","var_start_pos":"38","var_end_pos":"41","var_width":"4","var_rec_seg_no":"1","labl":"FOD Sub-Region","var_qstn_qstnlit":"FOD Sub-Region","var_sumstat":[{"value":"1889174","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F4"},{"vid":"V128","name":"SegmentNo","file_id":"F4","var_intrvl":"discrete","var_start_pos":"42","var_end_pos":"42","var_width":"1","var_rec_seg_no":"1","labl":"Segment Number","var_qstn_qstnlit":"Segment Number","var_qstn_ivulnstr":"Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.\n\nListing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.\n\nFormation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.\n\nA large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and\/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's\/sb's formed in the FSU, two hg's\/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME\/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg\/sb may be selected randomly and termed as Segment 2. \n\nListing and selection of households\/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg\/sb formation will not have segment 2.","var_sumstat":[{"value":"1889174","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"1464489","type":"freq"},{"value":"2","labl":null,"stats":"424685","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F4"},{"vid":"V129","name":"Stage2_Stratum","file_id":"F4","var_intrvl":"discrete","var_start_pos":"43","var_end_pos":"43","var_width":"1","var_rec_seg_no":"1","labl":"Second Stage Stratum","var_qstn_qstnlit":"Second Stage Stratum","var_qstn_ivulnstr":"Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.","var_sumstat":[{"value":"1889174","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Formation of second-stage strata and allocation of households: \nAll the households listed in the selected village\/ block\/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.\n\nFor the rural sector, a cut-off point 'X' (in hectares) was determined at State\/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State\/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.\n\nSimilarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State\/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE\nequal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.","var_catgry":[{"value":"1","labl":null,"stats":"949872","type":"freq"},{"value":"2","labl":null,"stats":"939302","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F4"},{"vid":"V130","name":"Hhold_no","file_id":"F4","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"44","var_end_pos":"44","var_width":"1","var_rec_seg_no":"1","labl":"Sample Household Number","var_qstn_qstnlit":"Sample Household Number","var_qstn_ivulnstr":"Sample household number:  The sample household number (i.e., order of selection)  of the selected household is to be copied from column (11) or (12) of block 5a of Schedule 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meat\/mutton","stats":null,"type":null},{"value":"183","labl":"beef\/ buffalo meat","stats":null,"type":null},{"value":"184","labl":"pork","stats":null,"type":null},{"value":"185","labl":"chicken","stats":null,"type":null},{"value":"186","labl":"others (birds, crab, oyster, tortoise, etc.)","stats":null,"type":null},{"value":"189","labl":"egg, fish & meat: sub-total (180-186)","stats":null,"type":null},{"value":"190","labl":"potato","stats":null,"type":null},{"value":"191","labl":"onion","stats":null,"type":null},{"value":"192","labl":"radish","stats":null,"type":null},{"value":"193","labl":"carrot","stats":null,"type":null},{"value":"194","labl":"turnip","stats":null,"type":null},{"value":"195","labl":"beet","stats":null,"type":null},{"value":"196","labl":"sweet 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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.","var_catgry":[{"value":"01","labl":null,"stats":"12457","type":"freq"},{"value":"02","labl":null,"stats":"10647","type":"freq"},{"value":"03","labl":null,"stats":"8962","type":"freq"},{"value":"04","labl":null,"stats":"9988","type":"freq"},{"value":"05","labl":null,"stats":"7313","type":"freq"},{"value":"06","labl":null,"stats":"9461","type":"freq"},{"value":"07","labl":null,"stats":"7949","type":"freq"},{"value":"08","labl":null,"stats":"6098","type":"freq"},{"value":"09","labl":null,"stats":"7676","type":"freq"},{"value":"10","labl":null,"stats":"7605","type":"freq"},{"value":"11","labl":null,"stats":"7836","type":"freq"},{"value":"12","labl":null,"stats":"7667","type":"freq"},{"value":"13","labl":null,"stats":"7430","type":"freq"},{"value":"14","labl":null,"stats":"7112","type":"freq"},{"value":"15","labl":null,"stats":"5425","type":"freq"},{"value":"16","labl":null,"stats":"4688","type":"freq"},{"value":"17","labl":null,"stats":"4581","type":"freq"},{"value":"18","labl":null,"stats":"5479","type":"freq"},{"value":"19","labl":null,"stats":"4164","type":"freq"},{"value":"20","labl":null,"stats":"4689","type":"freq"},{"value":"21","labl":null,"stats":"3946","type":"freq"},{"value":"22","labl":null,"stats":"2988","type":"freq"},{"value":"23","labl":null,"stats":"2522","type":"freq"},{"value":"24","labl":null,"stats":"3411","type":"freq"},{"value":"25","labl":null,"stats":"1947","type":"freq"},{"value":"26","labl":null,"stats":"3521","type":"freq"},{"value":"27","labl":null,"stats":"1943","type":"freq"},{"value":"28","labl":null,"stats":"3036","type":"freq"},{"value":"29","labl":null,"stats":"2139","type":"freq"},{"value":"30","labl":null,"stats":"2414","type":"freq"},{"value":"31","labl":null,"stats":"2134","type":"freq"},{"value":"32","labl":null,"stats":"1189","type":"freq"},{"value":"33","labl":null,"stats":"1442","type":"freq"},{"value":"34","labl":null,"stats":"1259","type":"freq"},{"value":"35","labl":null,"stats":"1227","type":"freq"},{"value":"36","labl":null,"stats":"1264","type":"freq"},{"value":"37","labl":null,"stats":"774","type":"freq"},{"value":"38","labl":null,"stats":"1304","type":"freq"},{"value":"39","labl":null,"stats":"965","type":"freq"},{"value":"40","labl":null,"stats":"2779","type":"freq"},{"value":"41","labl":null,"stats":"541","type":"freq"},{"value":"42","labl":null,"stats":"1062","type":"freq"},{"value":"43","labl":null,"stats":"428","type":"freq"},{"value":"44","labl":null,"stats":"251","type":"freq"},{"value":"45","labl":null,"stats":"700","type":"freq"},{"value":"46","labl":null,"stats":"714","type":"freq"},{"value":"47","labl":null,"stats":"711","type":"freq"},{"value":"48","labl":null,"stats":"206","type":"freq"},{"value":"49","labl":null,"stats":"229","type":"freq"},{"value":"50","labl":null,"stats":"200","type":"freq"},{"value":"51","labl":null,"stats":"127","type":"freq"},{"value":"52","labl":null,"stats":"170","type":"freq"},{"value":"53","labl":null,"stats":"214","type":"freq"},{"value":"54","labl":null,"stats":"153","type":"freq"},{"value":"55","labl":null,"stats":"184","type":"freq"},{"value":"56","labl":null,"stats":"132","type":"freq"},{"value":"57","labl":null,"stats":"174","type":"freq"},{"value":"58","labl":null,"stats":"380","type":"freq"},{"value":"59","labl":null,"stats":"169","type":"freq"},{"value":"60","labl":null,"stats":"210","type":"freq"},{"value":"61","labl":null,"stats":"220","type":"freq"},{"value":"62","labl":null,"stats":"281","type":"freq"},{"value":"63","labl":null,"stats":"216","type":"freq"},{"value":"64","labl":null,"stats":"218","type":"freq"},{"value":"65","labl":null,"stats":"242","type":"freq"},{"value":"66","labl":null,"stats":"135","type":"freq"},{"value":"67","labl":null,"stats":"207","type":"freq"},{"value":"68","labl":null,"stats":"170","type":"freq"},{"value":"69","labl":null,"stats":"223","type":"freq"},{"value":"70","labl":null,"stats":"169","type":"freq"},{"value":"71","labl":null,"stats":"400","type":"freq"},{"value":"72","labl":null,"stats":"426","type":"freq"},{"value":"73","labl":null,"stats":"717","type":"freq"},{"value":"74","labl":null,"stats":"819","type":"freq"},{"value":"75","labl":null,"stats":"343","type":"freq"},{"value":"99","labl":null,"stats":"774","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F5"},{"vid":"V152","name":"SubStratum","file_id":"F5","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"35","var_width":"2","var_rec_seg_no":"1","labl":"Sub-Stratum","var_qstn_qstnlit":"Sub-Stratum","var_sumstat":[{"value":"201946","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Allocation to sub-strata\n\nRural sector: \n462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.\n\nUrban sector: \nFor the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.\n\nFor details of sub-stratification see the manual \"Introduction Concepts, Definitions and Procedures\" attached in external resources.","var_catgry":[{"value":"01","labl":null,"stats":"50226","type":"freq"},{"value":"02","labl":null,"stats":"77994","type":"freq"},{"value":"03","labl":null,"stats":"25507","type":"freq"},{"value":"04","labl":null,"stats":"18377","type":"freq"},{"value":"05","labl":null,"stats":"9958","type":"freq"},{"value":"06","labl":null,"stats":"7794","type":"freq"},{"value":"07","labl":null,"stats":"3769","type":"freq"},{"value":"08","labl":null,"stats":"2880","type":"freq"},{"value":"09","labl":null,"stats":"1576","type":"freq"},{"value":"10","labl":null,"stats":"1217","type":"freq"},{"value":"11","labl":null,"stats":"612","type":"freq"},{"value":"12","labl":null,"stats":"563","type":"freq"},{"value":"13","labl":null,"stats":"476","type":"freq"},{"value":"14","labl":null,"stats":"335","type":"freq"},{"value":"15","labl":null,"stats":"121","type":"freq"},{"value":"16","labl":null,"stats":"133","type":"freq"},{"value":"17","labl":null,"stats":"126","type":"freq"},{"value":"18","labl":null,"stats":"76","type":"freq"},{"value":"19","labl":null,"stats":"82","type":"freq"},{"value":"20","labl":null,"stats":"41","type":"freq"},{"value":"21","labl":null,"stats":"39","type":"freq"},{"value":"22","labl":null,"stats":"44","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F5"},{"vid":"V153","name":"SubRound","file_id":"F5","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"36","var_width":"1","var_rec_seg_no":"1","labl":"Sub-Round","var_qstn_qstnlit":"Sub-Round","var_sumstat":[{"value":"201946","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_catgry":[{"value":"1","labl":"Sub-round 1","stats":"48790","type":"freq"},{"value":"2","labl":"Sub-round 2","stats":"50950","type":"freq"},{"value":"3","labl":"Sub-round 3","stats":"51323","type":"freq"},{"value":"4","labl":"Sub-round 4","stats":"50883","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F5"},{"vid":"V154","name":"SubSample","file_id":"F5","var_intrvl":"discrete","var_start_pos":"37","var_end_pos":"37","var_width":"1","var_rec_seg_no":"1","labl":"Sub - sample","var_qstn_qstnlit":"Sub - sample","var_qstn_ivulnstr":"Record 1 or 2 depending on whether the selected sample village\/block is central sample or state sample","var_sumstat":[{"value":"201946","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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 \nsampling 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. \n \nInterpenetrating 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. \n\nThe 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.","var_catgry":[{"value":"1","labl":"Central sample","stats":"106263","type":"freq"},{"value":"2","labl":"State sample","stats":"95683","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F5"},{"vid":"V155","name":"FODSubRegion","file_id":"F5","var_intrvl":"discrete","var_start_pos":"38","var_end_pos":"41","var_width":"4","var_rec_seg_no":"1","labl":"FOD Sub-Region","var_qstn_qstnlit":"FOD Sub-Region","var_sumstat":[{"value":"201946","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F5"},{"vid":"V156","name":"SegmentNo","file_id":"F5","var_intrvl":"discrete","var_start_pos":"42","var_end_pos":"42","var_width":"1","var_rec_seg_no":"1","labl":"Segment Number","var_qstn_qstnlit":"Segment Number","var_qstn_ivulnstr":"Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.\n\nListing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.\n\nFormation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.\n\nA large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and\/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's\/sb's formed in the FSU, two hg's\/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME\/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg\/sb may be selected randomly and termed as Segment 2. \n\nListing and selection of households\/enterprises will be done independently in segments 9, 1 & 2. 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Haveli","stats":"574","type":"freq"},{"value":"27","labl":"Maharastra","stats":"25884","type":"freq"},{"value":"28","labl":"Andhra Pardesh","stats":"20049","type":"freq"},{"value":"29","labl":"Karnataka","stats":"13124","type":"freq"},{"value":"30","labl":"Goa","stats":"1276","type":"freq"},{"value":"31","labl":"Lakshadweep","stats":"736","type":"freq"},{"value":"32","labl":"Kerala","stats":"14178","type":"freq"},{"value":"33","labl":"Tamil Nadu","stats":"21611","type":"freq"},{"value":"34","labl":"Pondicheri","stats":"1134","type":"freq"},{"value":"35","labl":"Andaman & Nicober","stats":"1720","type":"freq"}],"var_codeinstr":"This variable has been derived from the variable \"State - region\" to enable the users to easily access state wise data.","var_format":"character","var_format_schema":"other","fid":"F6"},{"vid":"V178","name":"District","file_id":"F6","var_intrvl":"discrete","var_start_pos":"30","var_end_pos":"31","var_width":"2","var_rec_seg_no":"1","labl":"District","var_qstn_qstnlit":"District","var_qstn_ivulnstr":"District to which the sample village\/ block belongs to will be recorded here as per the code 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Number","var_qstn_qstnlit":"Stratum Number","var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Within each district of a State\/ UT, two basic strata were formed:\n(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.","var_format":"character","var_format_schema":"other","fid":"F6"},{"vid":"V180","name":"SubStratum","file_id":"F6","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"35","var_width":"2","var_rec_seg_no":"1","labl":"Sub-Stratum","var_qstn_qstnlit":"Sub-Stratum","var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Allocation to sub-strata\n\nRural sector: \n462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.\n\nUrban sector: \nFor the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.\n\nFor details of sub-stratification see the manual \"Introduction Concepts, Definitions and Procedures\" attached in external resources.","var_catgry":[{"value":"01","labl":null,"stats":"88111","type":"freq"},{"value":"02","labl":null,"stats":"136588","type":"freq"},{"value":"03","labl":null,"stats":"43183","type":"freq"},{"value":"04","labl":null,"stats":"31005","type":"freq"},{"value":"05","labl":null,"stats":"16816","type":"freq"},{"value":"06","labl":null,"stats":"13074","type":"freq"},{"value":"07","labl":null,"stats":"6238","type":"freq"},{"value":"08","labl":null,"stats":"4888","type":"freq"},{"value":"09","labl":null,"stats":"2563","type":"freq"},{"value":"10","labl":null,"stats":"1917","type":"freq"},{"value":"11","labl":null,"stats":"1006","type":"freq"},{"value":"12","labl":null,"stats":"893","type":"freq"},{"value":"13","labl":null,"stats":"822","type":"freq"},{"value":"14","labl":null,"stats":"570","type":"freq"},{"value":"15","labl":null,"stats":"210","type":"freq"},{"value":"16","labl":null,"stats":"235","type":"freq"},{"value":"17","labl":null,"stats":"233","type":"freq"},{"value":"18","labl":null,"stats":"130","type":"freq"},{"value":"19","labl":null,"stats":"141","type":"freq"},{"value":"20","labl":null,"stats":"69","type":"freq"},{"value":"21","labl":null,"stats":"74","type":"freq"},{"value":"22","labl":null,"stats":"84","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F6"},{"vid":"V181","name":"SubRound","file_id":"F6","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"36","var_width":"1","var_rec_seg_no":"1","labl":"Sub-Round","var_qstn_qstnlit":"Sub-Round","var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_catgry":[{"value":"1","labl":"Sub-round 1","stats":"86785","type":"freq"},{"value":"2","labl":"Sub-round 2","stats":"87356","type":"freq"},{"value":"3","labl":"Sub-round 3","stats":"87427","type":"freq"},{"value":"4","labl":"Sub-round 4","stats":"87282","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F6"},{"vid":"V182","name":"SubSample","file_id":"F6","var_intrvl":"discrete","var_start_pos":"37","var_end_pos":"37","var_width":"1","var_rec_seg_no":"1","labl":"Sub - sample","var_qstn_qstnlit":"Sub - sample","var_qstn_ivulnstr":"Record 1 or 2 depending on whether the selected sample village\/block is central sample or state sample","var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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 \nsampling 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. \n \nInterpenetrating 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. \n\nThe 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.","var_catgry":[{"value":"1","labl":"Central sample","stats":"182533","type":"freq"},{"value":"2","labl":"State sample","stats":"166317","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F6"},{"vid":"V183","name":"FODSubRegion","file_id":"F6","var_intrvl":"discrete","var_start_pos":"38","var_end_pos":"41","var_width":"4","var_rec_seg_no":"1","labl":"FOD Sub-Region","var_qstn_qstnlit":"FOD Sub-Region","var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F6"},{"vid":"V184","name":"SegmentNo","file_id":"F6","var_intrvl":"discrete","var_start_pos":"42","var_end_pos":"42","var_width":"1","var_rec_seg_no":"1","labl":"Segment Number","var_qstn_qstnlit":"Segment Number","var_qstn_ivulnstr":"Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.\n\nListing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.\n\nFormation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.\n\nA large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and\/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's\/sb's formed in the FSU, two hg's\/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME\/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg\/sb may be selected randomly and termed as Segment 2. \n\nListing and selection of households\/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg\/sb formation will not have segment 2.","var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"269704","type":"freq"},{"value":"2","labl":null,"stats":"79146","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F6"},{"vid":"V185","name":"Stage2_Stratum","file_id":"F6","var_intrvl":"discrete","var_start_pos":"43","var_end_pos":"43","var_width":"1","var_rec_seg_no":"1","labl":"Second Stage Stratum","var_qstn_qstnlit":"Second Stage Stratum","var_qstn_ivulnstr":"Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.","var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Formation of second-stage strata and allocation of households: \nAll the households listed in the selected village\/ block\/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.\n\nFor the rural sector, a cut-off point 'X' (in hectares) was determined at State\/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State\/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.\n\nSimilarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State\/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE\nequal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.","var_catgry":[{"value":"1","labl":null,"stats":"174233","type":"freq"},{"value":"2","labl":null,"stats":"174617","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F6"},{"vid":"V186","name":"Hhold_no","file_id":"F6","var_intrvl":"discrete","var_start_pos":"44","var_end_pos":"44","var_width":"1","var_rec_seg_no":"1","labl":"Sample Household Number","var_qstn_qstnlit":"Sample Household Number","var_qstn_ivulnstr":"Sample household number:  The sample household number (i.e., order of selection)  of the selected household is to be copied from column (11) or (12) of block 5a of Schedule 0.0.","var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"242188","type":"freq"},{"value":"2","labl":null,"stats":"102262","type":"freq"},{"value":"3","labl":null,"stats":"2515","type":"freq"},{"value":"4","labl":null,"stats":"1885","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F6"},{"vid":"V187","name":"Level","file_id":"F6","var_intrvl":"discrete","var_start_pos":"45","var_end_pos":"46","var_width":"2","var_rec_seg_no":"1","labl":"Level","var_qstn_qstnlit":"Level","var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"05","labl":null,"stats":"348850","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F6"},{"vid":"V188","name":"B7_q1","file_id":"F6","var_intrvl":"discrete","var_start_pos":"47","var_end_pos":"49","var_width":"3","var_rec_seg_no":"1","labl":"Block 7  Item Code","var_qstn_qstnlit":"Block 7  Item Code","var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"360","labl":"dhoti (no.)","stats":"8767","type":"freq"},{"value":"361","labl":"sari (no.)","stats":"28354","type":"freq"},{"value":"362","labl":"cloth for shirt, pyjama, salwar, etc. (metre)","stats":"31511","type":"freq"},{"value":"363","labl":"cloth for coat, trousers, overcoat, etc. (metre)","stats":"23930","type":"freq"},{"value":"364","labl":"chaddar, dupatta, shawl, etc. (no.)","stats":"13600","type":"freq"},{"value":"365","labl":"lungi (no.)","stats":"21628","type":"freq"},{"value":"366","labl":"gamchha, towel, handkerchief (no.)","stats":"33423","type":"freq"},{"value":"367","labl":"hosiery articles, stockings, undergarments, etc.(no.)","stats":"35358","type":"freq"},{"value":"368","labl":"ready-made garments (no.)","stats":"31816","type":"freq"},{"value":"370","labl":"headwear (no.)","stats":"3386","type":"freq"},{"value":"371","labl":"knitted garments, sweater, pullover, cardigan, muffler, scarf, etc. (no.)","stats":"13102","type":"freq"},{"value":"372","labl":"knitting wool, cotton yarn (gm)","stats":"1456","type":"freq"},{"value":"373","labl":"clothing: others","stats":"7129","type":"freq"},{"value":"374","labl":"clothing: second-hand","stats":"2776","type":"freq"},{"value":"379","labl":"clothing: sub-total (360-374)","stats":"39271","type":"freq"},{"value":"380","labl":"bed sheet, bed cover (no.)","stats":"16754","type":"freq"},{"value":"381","labl":"rug, blanket (no.)","stats":"4398","type":"freq"},{"value":"382","labl":"pillow, quilt, mattress (no.)","stats":"3676","type":"freq"},{"value":"383","labl":"cloth for upholstery, curtain, table-cloth, etc. (metre)","stats":"1136","type":"freq"},{"value":"384","labl":"mosquito net (no.)","stats":"2750","type":"freq"},{"value":"385","labl":"mats and matting (no.)","stats":"1991","type":"freq"},{"value":"386","labl":"cotton (gm)","stats":"608","type":"freq"},{"value":"387","labl":"bedding: others","stats":"1077","type":"freq"},{"value":"389","labl":"bedding, etc.: sub-total (380-387)","stats":"20953","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F6"},{"vid":"V189","name":"B7_q3","file_id":"F6","var_dcml":"3","var_intrvl":"contin","var_start_pos":"50","var_end_pos":"58","var_width":"9","var_rec_seg_no":"1","labl":"Quantity","var_qstn_qstnlit":"How much quantity of the clothing item was purchased by the household in the last 365 days?","var_val_range":[{"units":"REAL","min":"0.001","max":"27000"}],"var_sumstat":[{"value":"277627","type":"vald"},{"value":"71223","type":"invd"},{"value":"0.001","type":"min"},{"value":"27000","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F6"},{"vid":"V190","name":"B7_q4","file_id":"F6","var_dcml":"2","var_intrvl":"contin","var_start_pos":"59","var_end_pos":"66","var_width":"8","var_rec_seg_no":"1","labl":"Value","var_qstn_qstnlit":"How much money was spent by the household on the purchase of the clothing item in the last 365 days?","var_val_range":[{"units":"REAL","min":"0.27","max":"61830"}],"var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"},{"value":"0.27","type":"min"},{"value":"61830","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F6"},{"vid":"V191","name":"NSS","file_id":"F6","var_intrvl":"discrete","var_start_pos":"67","var_end_pos":"68","var_width":"2","var_rec_seg_no":"1","labl":"NSS","var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"01","labl":null,"stats":"15781","type":"freq"},{"value":"1","labl":null,"stats":"184024","type":"freq"},{"value":"10","labl":null,"stats":"3185","type":"freq"},{"value":"11","labl":null,"stats":"1563","type":"freq"},{"value":"12","labl":null,"stats":"4224","type":"freq"},{"value":"13","labl":null,"stats":"4201","type":"freq"},{"value":"14","labl":null,"stats":"2512","type":"freq"},{"value":"15","labl":null,"stats":"1074","type":"freq"},{"value":"16","labl":null,"stats":"2266","type":"freq"},{"value":"17","labl":null,"stats":"2061","type":"freq"},{"value":"2","labl":null,"stats":"44029","type":"freq"},{"value":"20","labl":null,"stats":"1486","type":"freq"},{"value":"21","labl":null,"stats":"1176","type":"freq"},{"value":"22","labl":null,"stats":"1680","type":"freq"},{"value":"23","labl":null,"stats":"1703","type":"freq"},{"value":"24","labl":null,"stats":"1411","type":"freq"},{"value":"25","labl":null,"stats":"1853","type":"freq"},{"value":"26","labl":null,"stats":"1830","type":"freq"},{"value":"29","labl":null,"stats":"796","type":"freq"},{"value":"3","labl":null,"stats":"18124","type":"freq"},{"value":"31","labl":null,"stats":"860","type":"freq"},{"value":"4","labl":null,"stats":"11074","type":"freq"},{"value":"5","labl":null,"stats":"9590","type":"freq"},{"value":"56","labl":null,"stats":"3093","type":"freq"},{"value":"6","labl":null,"stats":"11707","type":"freq"},{"value":"7","labl":null,"stats":"6670","type":"freq"},{"value":"8","labl":null,"stats":"8601","type":"freq"},{"value":"9","labl":null,"stats":"2276","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F6"},{"vid":"V192","name":"NSC","file_id":"F6","var_intrvl":"discrete","var_start_pos":"69","var_end_pos":"71","var_width":"3","var_rec_seg_no":"1","labl":"NSC","var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"01","labl":null,"stats":"15781","type":"freq"},{"value":"1","labl":null,"stats":"1995","type":"freq"},{"value":"10","labl":null,"stats":"9199","type":"freq"},{"value":"11","labl":null,"stats":"512","type":"freq"},{"value":"112","labl":null,"stats":"3093","type":"freq"},{"value":"12","labl":null,"stats":"11421","type":"freq"},{"value":"14","labl":null,"stats":"6670","type":"freq"},{"value":"16","labl":null,"stats":"8601","type":"freq"},{"value":"18","labl":null,"stats":"2276","type":"freq"},{"value":"2","labl":null,"stats":"181589","type":"freq"},{"value":"20","labl":null,"stats":"3185","type":"freq"},{"value":"22","labl":null,"stats":"1563","type":"freq"},{"value":"24","labl":null,"stats":"4224","type":"freq"},{"value":"26","labl":null,"stats":"4201","type":"freq"},{"value":"28","labl":null,"stats":"2512","type":"freq"},{"value":"3","labl":null,"stats":"917","type":"freq"},{"value":"30","labl":null,"stats":"1074","type":"freq"},{"value":"32","labl":null,"stats":"2033","type":"freq"},{"value":"33","labl":null,"stats":"487","type":"freq"},{"value":"34","labl":null,"stats":"1807","type":"freq"},{"value":"4","labl":null,"stats":"43484","type":"freq"},{"value":"40","labl":null,"stats":"1486","type":"freq"},{"value":"42","labl":null,"stats":"1176","type":"freq"},{"value":"44","labl":null,"stats":"1680","type":"freq"},{"value":"46","labl":null,"stats":"1703","type":"freq"},{"value":"48","labl":null,"stats":"1411","type":"freq"},{"value":"5","labl":null,"stats":"106","type":"freq"},{"value":"50","labl":null,"stats":"1853","type":"freq"},{"value":"52","labl":null,"stats":"1830","type":"freq"},{"value":"6","labl":null,"stats":"17979","type":"freq"},{"value":"60","labl":null,"stats":"1656","type":"freq"},{"value":"7","labl":null,"stats":"245","type":"freq"},{"value":"8","labl":null,"stats":"10793","type":"freq"},{"value":"9","labl":null,"stats":"308","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F6"},{"vid":"V193","name":"MLT","file_id":"F6","var_dcml":"2","var_intrvl":"contin","var_start_pos":"72","var_end_pos":"80","var_width":"9","var_rec_seg_no":"1","labl":"Multiplier","var_val_range":[{"units":"REAL","min":"0.51","max":"703464.23"}],"var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"},{"value":"0.51","type":"min"},{"value":"703464.23","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F6"},{"vid":"V194","name":"WGT_SS","file_id":"F6","var_dcml":"2","var_intrvl":"contin","var_start_pos":"81","var_end_pos":"87","var_width":"7","var_rec_seg_no":"1","labl":"Multiplier - Sub-sample","var_val_range":[{"units":"REAL","min":"0.0051","max":"7034.6423"}],"var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"},{"value":"0.0051","type":"min"},{"value":"7034.642","type":"max"}],"var_codeinstr":"For generating sub sample estimates, this weight should be applied. It has been calculated as follows:\nWGT_SS= MLT\/100","var_format":"numeric","var_format_schema":"other","fid":"F6"},{"vid":"V195","name":"WGT_SS_Combined","file_id":"F6","var_dcml":"2","var_intrvl":"contin","var_start_pos":"88","var_end_pos":"94","var_width":"7","var_rec_seg_no":"1","labl":"Multiplier - Combined","var_val_range":[{"units":"REAL","min":"0.00255","max":"3517.32115"}],"var_sumstat":[{"value":"348850","type":"vald"},{"value":"0","type":"invd"},{"value":"0.00255","type":"min"},{"value":"3517.321","type":"max"}],"var_codeinstr":"For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:\n\nWGT_SS_Combined = MLT\/100, if NSS=NSC\n\notherwise\n\nWGT_SS_Combined = MLT\/200","var_format":"numeric","var_format_schema":"other","fid":"F6"},{"vid":"V196","name":"HHID","file_id":"F7","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"9","var_width":"9","var_rec_seg_no":"1","labl":"Key to identify a household","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_codeinstr":"This variable has been derived for identifying  a household by combining serial no. of village \/ block, segment number, second stage stratum and sample household number.","var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V197","name":"CentreCodeRoundShift","file_id":"F7","var_intrvl":"discrete","var_start_pos":"10","var_end_pos":"12","var_width":"3","var_rec_seg_no":"1","labl":"Centre code, Round, Shift","var_qstn_qstnlit":"Centre code, Round, Shift","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V198","name":"Vill_Blk_Slno","file_id":"F7","var_intrvl":"discrete","var_start_pos":"13","var_end_pos":"17","var_width":"5","var_rec_seg_no":"1","labl":"Serial no of village \/ Block","var_qstn_qstnlit":"Serial no of village \/ Block","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V199","name":"Round","file_id":"F7","var_intrvl":"discrete","var_start_pos":"18","var_end_pos":"19","var_width":"2","var_rec_seg_no":"1","labl":"Round","var_qstn_qstnlit":"Round","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Indicates the NSS round number of this survey.","var_catgry":[{"value":"62","labl":null,"stats":"123087","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V200","name":"ScheduleNumber","file_id":"F7","var_intrvl":"discrete","var_start_pos":"20","var_end_pos":"22","var_width":"3","var_rec_seg_no":"1","labl":"Schedule Number","var_qstn_qstnlit":"Schedule Number","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Indicates the NSS schedule number of this survey.","var_catgry":[{"value":"010","labl":null,"stats":"123087","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V201","name":"Sample","file_id":"F7","var_intrvl":"discrete","var_start_pos":"23","var_end_pos":"23","var_width":"1","var_rec_seg_no":"1","labl":"Sample","var_qstn_qstnlit":"Sample","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"123087","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V202","name":"Sector","file_id":"F7","var_intrvl":"discrete","var_start_pos":"24","var_end_pos":"24","var_width":"1","var_rec_seg_no":"1","labl":"Sector","var_qstn_qstnlit":"Sector","var_qstn_ivulnstr":"Record 1 or 2 depending on whether the selected sample village\/ block is classified as Rural or Urban.","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sector : A word used for the rural-urban demarcation.","var_catgry":[{"value":"1","labl":"Rural","stats":"56704","type":"freq"},{"value":"2","labl":"Urban","stats":"66383","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V203","name":"St_Region","file_id":"F7","var_intrvl":"discrete","var_start_pos":"25","var_end_pos":"27","var_width":"3","var_rec_seg_no":"1","labl":"State - region","var_qstn_qstnlit":"State - region","var_qstn_ivulnstr":"State and NSS region to which the sample village\/ block belongs to will be recorded here as per the code list.","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Regions are hierarchical domains of study below the level of State\/ Union Territory in the NSS.","var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V204","name":"State","file_id":"F7","var_intrvl":"discrete","var_start_pos":"28","var_end_pos":"29","var_width":"2","var_rec_seg_no":"1","labl":"State","var_qstn_qstnlit":"State","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu & Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman & Nicobar, Chandigarh, Dadra & Nagar Haveli, Daman & Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.","var_catgry":[{"value":"01","labl":"Jammu & Kashmir","stats":"4459","type":"freq"},{"value":"02","labl":"Himachal Pradesh","stats":"3107","type":"freq"},{"value":"03","labl":"Punjab","stats":"5447","type":"freq"},{"value":"04","labl":"Chandigarh","stats":"251","type":"freq"},{"value":"05","labl":"Uttaranchal","stats":"1142","type":"freq"},{"value":"06","labl":"Haryana","stats":"3090","type":"freq"},{"value":"07","labl":"Delhi","stats":"1270","type":"freq"},{"value":"08","labl":"Rajasthan","stats":"7739","type":"freq"},{"value":"09","labl":"Uttar Pradesh","stats":"12704","type":"freq"},{"value":"10","labl":"Bihar","stats":"5504","type":"freq"},{"value":"11","labl":"Sikkim","stats":"927","type":"freq"},{"value":"12","labl":"Arunachal Pradesh","stats":"1049","type":"freq"},{"value":"13","labl":"Nagaland","stats":"1171","type":"freq"},{"value":"14","labl":"Manipur","stats":"1335","type":"freq"},{"value":"15","labl":"Mizoram","stats":"1628","type":"freq"},{"value":"16","labl":"Tripura","stats":"2052","type":"freq"},{"value":"17","labl":"Meghalaya","stats":"1390","type":"freq"},{"value":"18","labl":"Assam","stats":"4169","type":"freq"},{"value":"19","labl":"West Bengal","stats":"7972","type":"freq"},{"value":"20","labl":"Jharkhand","stats":"3483","type":"freq"},{"value":"21","labl":"Orissa","stats":"3639","type":"freq"},{"value":"22","labl":"Chhattisgarh","stats":"1613","type":"freq"},{"value":"23","labl":"Madhya Pradesh","stats":"6600","type":"freq"},{"value":"24","labl":"Gujrat","stats":"5701","type":"freq"},{"value":"25","labl":"Daman & Diu","stats":"224","type":"freq"},{"value":"26","labl":"Dadra & Nagar Haveli","stats":"246","type":"freq"},{"value":"27","labl":"Maharastra","stats":"9925","type":"freq"},{"value":"28","labl":"Andhra Pardesh","stats":"7115","type":"freq"},{"value":"29","labl":"Karnataka","stats":"4745","type":"freq"},{"value":"30","labl":"Goa","stats":"527","type":"freq"},{"value":"31","labl":"Lakshadweep","stats":"208","type":"freq"},{"value":"32","labl":"Kerala","stats":"4649","type":"freq"},{"value":"33","labl":"Tamil Nadu","stats":"7066","type":"freq"},{"value":"34","labl":"Pondicheri","stats":"336","type":"freq"},{"value":"35","labl":"Andaman & Nicober","stats":"604","type":"freq"}],"var_codeinstr":"This variable has been derived from the variable \"State - region\" to enable the users to easily access state wise data.","var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V205","name":"District","file_id":"F7","var_intrvl":"discrete","var_start_pos":"30","var_end_pos":"31","var_width":"2","var_rec_seg_no":"1","labl":"District","var_qstn_qstnlit":"District","var_qstn_ivulnstr":"District to which the sample village\/ block belongs to will be recorded here as per the code list.","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V206","name":"Stratum","file_id":"F7","var_intrvl":"discrete","var_start_pos":"32","var_end_pos":"33","var_width":"2","var_rec_seg_no":"1","labl":"Stratum Number","var_qstn_qstnlit":"Stratum Number","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Within each district of a State\/ UT, two basic strata were formed:\n(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.","var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V207","name":"SubStratum","file_id":"F7","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"35","var_width":"2","var_rec_seg_no":"1","labl":"Sub-Stratum","var_qstn_qstnlit":"Sub-Stratum","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Allocation to sub-strata\n\nRural sector: \n462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.\n\nUrban sector: \nFor the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.\n\nFor details of sub-stratification see the manual \"Introduction Concepts, Definitions and Procedures\" attached in external resources.","var_catgry":[{"value":"01","labl":null,"stats":"32969","type":"freq"},{"value":"02","labl":null,"stats":"48984","type":"freq"},{"value":"03","labl":null,"stats":"14304","type":"freq"},{"value":"04","labl":null,"stats":"10375","type":"freq"},{"value":"05","labl":null,"stats":"5578","type":"freq"},{"value":"06","labl":null,"stats":"4397","type":"freq"},{"value":"07","labl":null,"stats":"2040","type":"freq"},{"value":"08","labl":null,"stats":"1561","type":"freq"},{"value":"09","labl":null,"stats":"851","type":"freq"},{"value":"10","labl":null,"stats":"650","type":"freq"},{"value":"11","labl":null,"stats":"317","type":"freq"},{"value":"12","labl":null,"stats":"298","type":"freq"},{"value":"13","labl":null,"stats":"235","type":"freq"},{"value":"14","labl":null,"stats":"183","type":"freq"},{"value":"15","labl":null,"stats":"66","type":"freq"},{"value":"16","labl":null,"stats":"63","type":"freq"},{"value":"17","labl":null,"stats":"68","type":"freq"},{"value":"18","labl":null,"stats":"39","type":"freq"},{"value":"19","labl":null,"stats":"44","type":"freq"},{"value":"20","labl":null,"stats":"22","type":"freq"},{"value":"21","labl":null,"stats":"19","type":"freq"},{"value":"22","labl":null,"stats":"24","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V208","name":"SubRound","file_id":"F7","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"36","var_width":"1","var_rec_seg_no":"1","labl":"Sub-Round","var_qstn_qstnlit":"Sub-Round","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_catgry":[{"value":"1","labl":"Sub-round 1","stats":"30088","type":"freq"},{"value":"2","labl":"Sub-round 2","stats":"30876","type":"freq"},{"value":"3","labl":"Sub-round 3","stats":"31098","type":"freq"},{"value":"4","labl":"Sub-round 4","stats":"31025","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V209","name":"SubSample","file_id":"F7","var_intrvl":"discrete","var_start_pos":"37","var_end_pos":"37","var_width":"1","var_rec_seg_no":"1","labl":"Sub - sample","var_qstn_qstnlit":"Sub - sample","var_qstn_ivulnstr":"Record 1 or 2 depending on whether the selected sample village\/block is central sample or state sample","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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 \nsampling 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. \n \nInterpenetrating 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. \n\nThe 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.","var_catgry":[{"value":"1","labl":"Central sample","stats":"64558","type":"freq"},{"value":"2","labl":"State sample","stats":"58529","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V210","name":"FODSubRegion","file_id":"F7","var_intrvl":"discrete","var_start_pos":"38","var_end_pos":"41","var_width":"4","var_rec_seg_no":"1","labl":"FOD Sub-Region","var_qstn_qstnlit":"FOD Sub-Region","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V211","name":"SegmentNo","file_id":"F7","var_intrvl":"discrete","var_start_pos":"42","var_end_pos":"42","var_width":"1","var_rec_seg_no":"1","labl":"Segment Number","var_qstn_qstnlit":"Segment Number","var_qstn_ivulnstr":"Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.\n\nListing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.\n\nFormation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.\n\nA large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and\/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's\/sb's formed in the FSU, two hg's\/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME\/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg\/sb may be selected randomly and termed as Segment 2. \n\nListing and selection of households\/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg\/sb formation will not have segment 2.","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"96035","type":"freq"},{"value":"2","labl":null,"stats":"27052","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F7"},{"vid":"V212","name":"Stage2_Stratum","file_id":"F7","var_intrvl":"discrete","var_start_pos":"43","var_end_pos":"43","var_width":"1","var_rec_seg_no":"1","labl":"Second Stage Stratum","var_qstn_qstnlit":"Second Stage Stratum","var_qstn_ivulnstr":"Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.","var_sumstat":[{"value":"123087","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Formation of second-stage strata and allocation of households: \nAll the households listed in the selected village\/ block\/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.\n\nFor the rural sector, a cut-off point 'X' (in hectares) was determined at State\/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State\/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.\n\nSimilarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State\/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE\nequal to or more than 'A'. 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It has been calculated as follows:\n\nWGT_SS_Combined = MLT\/100, if NSS=NSC\n\notherwise\n\nWGT_SS_Combined = MLT\/200","var_format":"numeric","var_format_schema":"other","fid":"F7"},{"vid":"V223","name":"HHID","file_id":"F8","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"9","var_width":"9","var_rec_seg_no":"1","labl":"Key to identify a household","var_sumstat":[{"value":"138669","type":"vald"},{"value":"0","type":"invd"}],"var_codeinstr":"This variable has been derived for identifying  a household by combining serial no. of village \/ block, segment number, second stage stratum and sample household number.","var_format":"character","var_format_schema":"other","fid":"F8"},{"vid":"V224","name":"CentreCodeRoundShift","file_id":"F8","var_intrvl":"discrete","var_start_pos":"10","var_end_pos":"12","var_width":"3","var_rec_seg_no":"1","labl":"Centre code, Round, Shift","var_qstn_qstnlit":"Centre code, Round, Shift","var_sumstat":[{"value":"138669","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F8"},{"vid":"V225","name":"Vill_Blk_Slno","file_id":"F8","var_intrvl":"discrete","var_start_pos":"13","var_end_pos":"17","var_width":"5","var_rec_seg_no":"1","labl":"Serial no of village \/ Block","var_qstn_qstnlit":"Serial no of village \/ Block","var_sumstat":[{"value":"138669","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. 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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.","var_format":"character","var_format_schema":"other","fid":"F8"},{"vid":"V234","name":"SubStratum","file_id":"F8","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"35","var_width":"2","var_rec_seg_no":"1","labl":"Sub-Stratum","var_qstn_qstnlit":"Sub-Stratum","var_sumstat":[{"value":"138669","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Allocation to sub-strata\n\nRural sector: \n462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.\n\nUrban sector: \nFor the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.\n\nFor details of sub-stratification see the manual \"Introduction Concepts, Definitions and Procedures\" attached in external resources.","var_catgry":[{"value":"01","labl":null,"stats":"35331","type":"freq"},{"value":"02","labl":null,"stats":"56626","type":"freq"},{"value":"03","labl":null,"stats":"15289","type":"freq"},{"value":"04","labl":null,"stats":"11491","type":"freq"},{"value":"05","labl":null,"stats":"6180","type":"freq"},{"value":"06","labl":null,"stats":"5431","type":"freq"},{"value":"07","labl":null,"stats":"2270","type":"freq"},{"value":"08","labl":null,"stats":"1935","type":"freq"},{"value":"09","labl":null,"stats":"1095","type":"freq"},{"value":"10","labl":null,"stats":"910","type":"freq"},{"value":"11","labl":null,"stats":"449","type":"freq"},{"value":"12","labl":null,"stats":"465","type":"freq"},{"value":"13","labl":null,"stats":"388","type":"freq"},{"value":"14","labl":null,"stats":"311","type":"freq"},{"value":"15","labl":null,"stats":"87","type":"freq"},{"value":"16","labl":null,"stats":"101","type":"freq"},{"value":"17","labl":null,"stats":"85","type":"freq"},{"value":"18","labl":null,"stats":"70","type":"freq"},{"value":"19","labl":null,"stats":"52","type":"freq"},{"value":"20","labl":null,"stats":"34","type":"freq"},{"value":"21","labl":null,"stats":"32","type":"freq"},{"value":"22","labl":null,"stats":"37","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F8"},{"vid":"V235","name":"SubRound","file_id":"F8","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"36","var_width":"1","var_rec_seg_no":"1","labl":"Sub-Round","var_qstn_qstnlit":"Sub-Round","var_sumstat":[{"value":"138669","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_catgry":[{"value":"1","labl":"Sub-round 1","stats":"33117","type":"freq"},{"value":"2","labl":"Sub-round 2","stats":"35940","type":"freq"},{"value":"3","labl":"Sub-round 3","stats":"34896","type":"freq"},{"value":"4","labl":"Sub-round 4","stats":"34716","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F8"},{"vid":"V236","name":"SubSample","file_id":"F8","var_intrvl":"discrete","var_start_pos":"37","var_end_pos":"37","var_width":"1","var_rec_seg_no":"1","labl":"Sub - sample","var_qstn_qstnlit":"Sub - sample","var_qstn_ivulnstr":"Record 1 or 2 depending on whether the selected sample village\/block is central sample or state sample","var_sumstat":[{"value":"138669","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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 \nsampling 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. \n \nInterpenetrating 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. \n\nThe 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.","var_catgry":[{"value":"1","labl":"Central sample","stats":"72286","type":"freq"},{"value":"2","labl":"State sample","stats":"66383","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F8"},{"vid":"V237","name":"FODSubRegion","file_id":"F8","var_intrvl":"discrete","var_start_pos":"38","var_end_pos":"41","var_width":"4","var_rec_seg_no":"1","labl":"FOD Sub-Region","var_qstn_qstnlit":"FOD Sub-Region","var_sumstat":[{"value":"138669","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F8"},{"vid":"V238","name":"SegmentNo","file_id":"F8","var_intrvl":"discrete","var_start_pos":"42","var_end_pos":"42","var_width":"1","var_rec_seg_no":"1","labl":"Segment Number","var_qstn_qstnlit":"Segment Number","var_qstn_ivulnstr":"Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.\n\nListing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.\n\nFormation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.\n\nA large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and\/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's\/sb's formed in the FSU, two hg's\/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME\/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg\/sb may be selected randomly and termed as Segment 2. \n\nListing and selection of households\/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg\/sb formation will not have segment 2.","var_sumstat":[{"value":"138669","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"108521","type":"freq"},{"value":"2","labl":null,"stats":"30148","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F8"},{"vid":"V239","name":"Stage2_Stratum","file_id":"F8","var_intrvl":"discrete","var_start_pos":"43","var_end_pos":"43","var_width":"1","var_rec_seg_no":"1","labl":"Second Stage Stratum","var_qstn_qstnlit":"Second Stage Stratum","var_qstn_ivulnstr":"Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.","var_sumstat":[{"value":"138669","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Formation of second-stage strata and allocation of households: \nAll the households listed in the selected village\/ block\/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.\n\nFor the rural sector, a cut-off point 'X' (in hectares) was determined at State\/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State\/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.\n\nSimilarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State\/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE\nequal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.","var_catgry":[{"value":"1","labl":null,"stats":"65731","type":"freq"},{"value":"2","labl":null,"stats":"72938","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F8"},{"vid":"V240","name":"Hhold_no","file_id":"F8","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"44","var_end_pos":"44","var_width":"1","var_rec_seg_no":"1","labl":"Sample Household Number","var_qstn_qstnlit":"Sample Household Number","var_qstn_ivulnstr":"Sample household number:  The sample household number (i.e., order of selection)  of the selected household is to be copied from column (11) or (12) of block 5a of Schedule 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It has been calculated as follows:\nWGT_SS= MLT\/100","var_format":"numeric","var_format_schema":"other","fid":"F8"},{"vid":"V248","name":"WGT_SS_Combined","file_id":"F8","var_dcml":"2","var_intrvl":"contin","var_start_pos":"75","var_end_pos":"81","var_width":"7","var_rec_seg_no":"1","labl":"Multiplier - Combined","var_val_range":[{"units":"REAL","min":"0.00255","max":"3321.08"}],"var_sumstat":[{"value":"138669","type":"vald"},{"value":"0","type":"invd"},{"value":"0.00255","type":"min"},{"value":"3321.08","type":"max"}],"var_codeinstr":"For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:\n\nWGT_SS_Combined = MLT\/100, if NSS=NSC\n\notherwise\n\nWGT_SS_Combined = MLT\/200","var_format":"numeric","var_format_schema":"other","fid":"F8"},{"vid":"V249","name":"HHID","file_id":"F9","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"9","var_width":"9","var_rec_seg_no":"1","labl":"Key to identify a household","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_codeinstr":"This variable has been derived for identifying  a household by combining serial no. of village \/ block, segment number, second stage stratum and sample household number.","var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V250","name":"CentreCodeRoundShift","file_id":"F9","var_intrvl":"discrete","var_start_pos":"10","var_end_pos":"12","var_width":"3","var_rec_seg_no":"1","labl":"Centre code, Round, Shift","var_qstn_qstnlit":"Centre code, Round, Shift","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V251","name":"Vill_Blk_Slno","file_id":"F9","var_intrvl":"discrete","var_start_pos":"13","var_end_pos":"17","var_width":"5","var_rec_seg_no":"1","labl":"Serial no of village \/ Block","var_qstn_qstnlit":"Serial no of village \/ Block","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V252","name":"Round","file_id":"F9","var_intrvl":"discrete","var_start_pos":"18","var_end_pos":"19","var_width":"2","var_rec_seg_no":"1","labl":"Round","var_qstn_qstnlit":"Round","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Indicates the NSS round number of this survey.","var_catgry":[{"value":"62","labl":null,"stats":"810313","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V253","name":"ScheduleNumber","file_id":"F9","var_intrvl":"discrete","var_start_pos":"20","var_end_pos":"22","var_width":"3","var_rec_seg_no":"1","labl":"Schedule Number","var_qstn_qstnlit":"Schedule Number","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Indicates the NSS schedule number of this survey.","var_catgry":[{"value":"010","labl":null,"stats":"810313","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V254","name":"Sample","file_id":"F9","var_intrvl":"discrete","var_start_pos":"23","var_end_pos":"23","var_width":"1","var_rec_seg_no":"1","labl":"Sample","var_qstn_qstnlit":"Sample","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"810313","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V255","name":"Sector","file_id":"F9","var_intrvl":"discrete","var_start_pos":"24","var_end_pos":"24","var_width":"1","var_rec_seg_no":"1","labl":"Sector","var_qstn_qstnlit":"Sector","var_qstn_ivulnstr":"Record 1 or 2 depending on whether the selected sample village\/ block is classified as Rural or Urban.","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sector : A word used for the rural-urban demarcation.","var_catgry":[{"value":"1","labl":"Rural","stats":"352178","type":"freq"},{"value":"2","labl":"Urban","stats":"458135","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V256","name":"St_Region","file_id":"F9","var_intrvl":"discrete","var_start_pos":"25","var_end_pos":"27","var_width":"3","var_rec_seg_no":"1","labl":"State - region","var_qstn_qstnlit":"State - region","var_qstn_ivulnstr":"State and NSS region to which the sample village\/ block belongs to will be recorded here as per the code list.","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Regions are hierarchical domains of study below the level of State\/ Union Territory in the NSS.","var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V257","name":"State","file_id":"F9","var_intrvl":"discrete","var_start_pos":"28","var_end_pos":"29","var_width":"2","var_rec_seg_no":"1","labl":"State","var_qstn_qstnlit":"State","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu & Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman & Nicobar, Chandigarh, Dadra & Nagar Haveli, Daman & Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.","var_catgry":[{"value":"01","labl":"Jammu & Kashmir","stats":"24851","type":"freq"},{"value":"02","labl":"Himachal Pradesh","stats":"15813","type":"freq"},{"value":"03","labl":"Punjab","stats":"31042","type":"freq"},{"value":"04","labl":"Chandigarh","stats":"1743","type":"freq"},{"value":"05","labl":"Uttaranchal","stats":"6589","type":"freq"},{"value":"06","labl":"Haryana","stats":"17304","type":"freq"},{"value":"07","labl":"Delhi","stats":"8867","type":"freq"},{"value":"08","labl":"Rajasthan","stats":"39504","type":"freq"},{"value":"09","labl":"Uttar Pradesh","stats":"79600","type":"freq"},{"value":"10","labl":"Bihar","stats":"34231","type":"freq"},{"value":"11","labl":"Sikkim","stats":"4351","type":"freq"},{"value":"12","labl":"Arunachal Pradesh","stats":"4669","type":"freq"},{"value":"13","labl":"Nagaland","stats":"6211","type":"freq"},{"value":"14","labl":"Manipur","stats":"9096","type":"freq"},{"value":"15","labl":"Mizoram","stats":"8234","type":"freq"},{"value":"16","labl":"Tripura","stats":"12788","type":"freq"},{"value":"17","labl":"Meghalaya","stats":"7257","type":"freq"},{"value":"18","labl":"Assam","stats":"26901","type":"freq"},{"value":"19","labl":"West Bengal","stats":"57346","type":"freq"},{"value":"20","labl":"Jharkhand","stats":"22020","type":"freq"},{"value":"21","labl":"Orissa","stats":"24003","type":"freq"},{"value":"22","labl":"Chhattisgarh","stats":"11016","type":"freq"},{"value":"23","labl":"Madhya Pradesh","stats":"43203","type":"freq"},{"value":"24","labl":"Gujrat","stats":"37501","type":"freq"},{"value":"25","labl":"Daman & Diu","stats":"2082","type":"freq"},{"value":"26","labl":"Dadra & Nagar Haveli","stats":"1906","type":"freq"},{"value":"27","labl":"Maharastra","stats":"70049","type":"freq"},{"value":"28","labl":"Andhra Pardesh","stats":"55675","type":"freq"},{"value":"29","labl":"Karnataka","stats":"35640","type":"freq"},{"value":"30","labl":"Goa","stats":"4099","type":"freq"},{"value":"31","labl":"Lakshadweep","stats":"1558","type":"freq"},{"value":"32","labl":"Kerala","stats":"35823","type":"freq"},{"value":"33","labl":"Tamil Nadu","stats":"62420","type":"freq"},{"value":"34","labl":"Pondicheri","stats":"2889","type":"freq"},{"value":"35","labl":"Andaman & Nicober","stats":"4032","type":"freq"}],"var_codeinstr":"This variable has been derived from the variable \"State - region\" to enable the users to easily access state wise data.","var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V258","name":"District","file_id":"F9","var_intrvl":"discrete","var_start_pos":"30","var_end_pos":"31","var_width":"2","var_rec_seg_no":"1","labl":"District","var_qstn_qstnlit":"District","var_qstn_ivulnstr":"District to which the sample village\/ block belongs to will be recorded here as per the code list.","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"01","labl":null,"stats":"51268","type":"freq"},{"value":"02","labl":null,"stats":"46811","type":"freq"},{"value":"03","labl":null,"stats":"35622","type":"freq"},{"value":"04","labl":null,"stats":"38956","type":"freq"},{"value":"05","labl":null,"stats":"32737","type":"freq"},{"value":"06","labl":null,"stats":"37005","type":"freq"},{"value":"07","labl":null,"stats":"37006","type":"freq"},{"value":"08","labl":null,"stats":"23605","type":"freq"},{"value":"09","labl":null,"stats":"36251","type":"freq"},{"value":"10","labl":null,"stats":"31491","type":"freq"},{"value":"11","labl":null,"stats":"31204","type":"freq"},{"value":"12","labl":null,"stats":"33567","type":"freq"},{"value":"13","labl":null,"stats":"30652","type":"freq"},{"value":"14","labl":null,"stats":"27299","type":"freq"},{"value":"15","labl":null,"stats":"22154","type":"freq"},{"value":"16","labl":null,"stats":"20294","type":"freq"},{"value":"17","labl":null,"stats":"23685","type":"freq"},{"value":"18","labl":null,"stats":"18939","type":"freq"},{"value":"19","labl":null,"stats":"17762","type":"freq"},{"value":"20","labl":null,"stats":"19446","type":"freq"},{"value":"21","labl":null,"stats":"19961","type":"freq"},{"value":"22","labl":null,"stats":"27855","type":"freq"},{"value":"23","labl":null,"stats":"9741","type":"freq"},{"value":"24","labl":null,"stats":"10138","type":"freq"},{"value":"25","labl":null,"stats":"12401","type":"freq"},{"value":"26","labl":null,"stats":"13395","type":"freq"},{"value":"27","labl":null,"stats":"9879","type":"freq"},{"value":"28","labl":null,"stats":"8905","type":"freq"},{"value":"29","labl":null,"stats":"8555","type":"freq"},{"value":"30","labl":null,"stats":"9256","type":"freq"},{"value":"31","labl":null,"stats":"4186","type":"freq"},{"value":"32","labl":null,"stats":"6670","type":"freq"},{"value":"33","labl":null,"stats":"2718","type":"freq"},{"value":"34","labl":null,"stats":"8392","type":"freq"},{"value":"35","labl":null,"stats":"4673","type":"freq"},{"value":"36","labl":null,"stats":"2986","type":"freq"},{"value":"37","labl":null,"stats":"1697","type":"freq"},{"value":"38","labl":null,"stats":"1512","type":"freq"},{"value":"39","labl":null,"stats":"3052","type":"freq"},{"value":"40","labl":null,"stats":"1293","type":"freq"},{"value":"41","labl":null,"stats":"867","type":"freq"},{"value":"42","labl":null,"stats":"1446","type":"freq"},{"value":"43","labl":null,"stats":"1683","type":"freq"},{"value":"44","labl":null,"stats":"791","type":"freq"},{"value":"45","labl":null,"stats":"2901","type":"freq"},{"value":"46","labl":null,"stats":"695","type":"freq"},{"value":"47","labl":null,"stats":"724","type":"freq"},{"value":"48","labl":null,"stats":"738","type":"freq"},{"value":"49","labl":null,"stats":"783","type":"freq"},{"value":"50","labl":null,"stats":"774","type":"freq"},{"value":"51","labl":null,"stats":"425","type":"freq"},{"value":"52","labl":null,"stats":"606","type":"freq"},{"value":"53","labl":null,"stats":"850","type":"freq"},{"value":"54","labl":null,"stats":"518","type":"freq"},{"value":"55","labl":null,"stats":"646","type":"freq"},{"value":"56","labl":null,"stats":"474","type":"freq"},{"value":"57","labl":null,"stats":"644","type":"freq"},{"value":"58","labl":null,"stats":"1631","type":"freq"},{"value":"59","labl":null,"stats":"634","type":"freq"},{"value":"60","labl":null,"stats":"807","type":"freq"},{"value":"61","labl":null,"stats":"716","type":"freq"},{"value":"62","labl":null,"stats":"959","type":"freq"},{"value":"63","labl":null,"stats":"575","type":"freq"},{"value":"64","labl":null,"stats":"711","type":"freq"},{"value":"65","labl":null,"stats":"900","type":"freq"},{"value":"66","labl":null,"stats":"511","type":"freq"},{"value":"67","labl":null,"stats":"2315","type":"freq"},{"value":"68","labl":null,"stats":"662","type":"freq"},{"value":"69","labl":null,"stats":"777","type":"freq"},{"value":"70","labl":null,"stats":"531","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V259","name":"Stratum","file_id":"F9","var_intrvl":"discrete","var_start_pos":"32","var_end_pos":"33","var_width":"2","var_rec_seg_no":"1","labl":"Stratum Number","var_qstn_qstnlit":"Stratum Number","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Within each district of a State\/ UT, two basic strata were formed:\n(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.","var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V260","name":"SubStratum","file_id":"F9","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"35","var_width":"2","var_rec_seg_no":"1","labl":"Sub-Stratum","var_qstn_qstnlit":"Sub-Stratum","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Allocation to sub-strata\n\nRural sector: \n462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.\n\nUrban sector: \nFor the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.\n\nFor details of sub-stratification see the manual \"Introduction Concepts, Definitions and Procedures\" attached in external resources.","var_catgry":[{"value":"01","labl":null,"stats":"224840","type":"freq"},{"value":"02","labl":null,"stats":"330825","type":"freq"},{"value":"03","labl":null,"stats":"85392","type":"freq"},{"value":"04","labl":null,"stats":"63491","type":"freq"},{"value":"05","labl":null,"stats":"35174","type":"freq"},{"value":"06","labl":null,"stats":"27555","type":"freq"},{"value":"07","labl":null,"stats":"13235","type":"freq"},{"value":"08","labl":null,"stats":"10520","type":"freq"},{"value":"09","labl":null,"stats":"5474","type":"freq"},{"value":"10","labl":null,"stats":"4292","type":"freq"},{"value":"11","labl":null,"stats":"2129","type":"freq"},{"value":"12","labl":null,"stats":"2079","type":"freq"},{"value":"13","labl":null,"stats":"1771","type":"freq"},{"value":"14","labl":null,"stats":"1295","type":"freq"},{"value":"15","labl":null,"stats":"424","type":"freq"},{"value":"16","labl":null,"stats":"462","type":"freq"},{"value":"17","labl":null,"stats":"444","type":"freq"},{"value":"18","labl":null,"stats":"259","type":"freq"},{"value":"19","labl":null,"stats":"267","type":"freq"},{"value":"20","labl":null,"stats":"119","type":"freq"},{"value":"21","labl":null,"stats":"123","type":"freq"},{"value":"22","labl":null,"stats":"143","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V261","name":"SubRound","file_id":"F9","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"36","var_width":"1","var_rec_seg_no":"1","labl":"Sub-Round","var_qstn_qstnlit":"Sub-Round","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_catgry":[{"value":"1","labl":"Sub-round 1","stats":"196851","type":"freq"},{"value":"2","labl":"Sub-round 2","stats":"203350","type":"freq"},{"value":"3","labl":"Sub-round 3","stats":"204556","type":"freq"},{"value":"4","labl":"Sub-round 4","stats":"205556","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V262","name":"SubSample","file_id":"F9","var_intrvl":"discrete","var_start_pos":"37","var_end_pos":"37","var_width":"1","var_rec_seg_no":"1","labl":"Sub - sample","var_qstn_qstnlit":"Sub - sample","var_qstn_ivulnstr":"Record 1 or 2 depending on whether the selected sample village\/block is central sample or state sample","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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 \nsampling 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. \n \nInterpenetrating 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. \n\nThe 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.","var_catgry":[{"value":"1","labl":"Central sample","stats":"423817","type":"freq"},{"value":"2","labl":"State sample","stats":"386496","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V263","name":"FODSubRegion","file_id":"F9","var_intrvl":"discrete","var_start_pos":"38","var_end_pos":"41","var_width":"4","var_rec_seg_no":"1","labl":"FOD Sub-Region","var_qstn_qstnlit":"FOD Sub-Region","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V264","name":"SegmentNo","file_id":"F9","var_intrvl":"discrete","var_start_pos":"42","var_end_pos":"42","var_width":"1","var_rec_seg_no":"1","labl":"Segment Number","var_qstn_qstnlit":"Segment Number","var_qstn_ivulnstr":"Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.\n\nListing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.\n\nFormation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.\n\nA large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and\/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's\/sb's formed in the FSU, two hg's\/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME\/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg\/sb may be selected randomly and termed as Segment 2. \n\nListing and selection of households\/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg\/sb formation will not have segment 2.","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"636178","type":"freq"},{"value":"2","labl":null,"stats":"174135","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V265","name":"Stage2_Stratum","file_id":"F9","var_intrvl":"discrete","var_start_pos":"43","var_end_pos":"43","var_width":"1","var_rec_seg_no":"1","labl":"Second Stage Stratum","var_qstn_qstnlit":"Second Stage Stratum","var_qstn_ivulnstr":"Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Formation of second-stage strata and allocation of households: \nAll the households listed in the selected village\/ block\/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.\n\nFor the rural sector, a cut-off point 'X' (in hectares) was determined at State\/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State\/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.\n\nSimilarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State\/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE\nequal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.","var_catgry":[{"value":"1","labl":null,"stats":"392227","type":"freq"},{"value":"2","labl":null,"stats":"418086","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F9"},{"vid":"V266","name":"Hhold_no","file_id":"F9","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"44","var_end_pos":"44","var_width":"1","var_rec_seg_no":"1","labl":"Sample Household Number","var_qstn_qstnlit":"Sample Household Number","var_qstn_ivulnstr":"Sample household number:  The sample household number (i.e., order of selection)  of the selected household is to be copied from column (11) or (12) of block 5a of Schedule 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10  Item Code","var_qstn_qstnlit":"Block 10  Item Code","var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"420","labl":"medicine","stats":null,"type":null},{"value":"421","labl":"X-ray, ECG, pathological test, etc.","stats":null,"type":null},{"value":"422","labl":"doctor's\/ surgeon's fee","stats":null,"type":null},{"value":"423","labl":"family planning appliances","stats":null,"type":null},{"value":"424","labl":"other medical expenses","stats":null,"type":null},{"value":"429","labl":"medical - non-institutional: sub-total (420-424)","stats":null,"type":null},{"value":"430","labl":"cinema, theatre","stats":null,"type":null},{"value":"431","labl":"mela, fair, picnic","stats":null,"type":null},{"value":"432","labl":"sports goods, toys, etc.","stats":null,"type":null},{"value":"433","labl":"club fees","stats":null,"type":null},{"value":"434","labl":"goods for recreation and 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- Sub-sample","var_val_range":[{"units":"REAL","min":"0.0051","max":"7034.6423"}],"var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"},{"value":"0.0051","type":"min"},{"value":"7034.642","type":"max"}],"var_codeinstr":"For generating sub sample estimates, this weight should be applied. It has been calculated as follows:\nWGT_SS= MLT\/100","var_format":"numeric","var_format_schema":"other","fid":"F9"},{"vid":"V274","name":"WGT_SS_Combined","file_id":"F9","var_dcml":"2","var_intrvl":"contin","var_start_pos":"75","var_end_pos":"81","var_width":"7","var_rec_seg_no":"1","labl":"Multiplier - Combined","var_val_range":[{"units":"REAL","min":"0.00255","max":"3517.32115"}],"var_sumstat":[{"value":"810313","type":"vald"},{"value":"0","type":"invd"},{"value":"0.00255","type":"min"},{"value":"3517.321","type":"max"}],"var_codeinstr":"For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:\n\nWGT_SS_Combined = MLT\/100, if NSS=NSC\n\notherwise\n\nWGT_SS_Combined = MLT\/200","var_format":"numeric","var_format_schema":"other","fid":"F9"},{"vid":"V275","name":"HHID","file_id":"F10","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"9","var_width":"9","var_rec_seg_no":"1","labl":"Key to identify a household","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_codeinstr":"This variable has been derived for identifying  a household by combining serial no. of village \/ block, segment number, second stage stratum and sample household number.","var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V276","name":"CentreCodeRoundShift","file_id":"F10","var_intrvl":"discrete","var_start_pos":"10","var_end_pos":"12","var_width":"3","var_rec_seg_no":"1","labl":"Centre code, Round, Shift","var_qstn_qstnlit":"Centre code, Round, Shift","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V277","name":"Vill_Blk_Slno","file_id":"F10","var_intrvl":"discrete","var_start_pos":"13","var_end_pos":"17","var_width":"5","var_rec_seg_no":"1","labl":"Serial no of village \/ Block","var_qstn_qstnlit":"Serial no of village \/ Block","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V278","name":"Round","file_id":"F10","var_intrvl":"discrete","var_start_pos":"18","var_end_pos":"19","var_width":"2","var_rec_seg_no":"1","labl":"Round","var_qstn_qstnlit":"Round","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Indicates the NSS round number of this survey.","var_catgry":[{"value":"62","labl":null,"stats":"442842","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V279","name":"ScheduleNumber","file_id":"F10","var_intrvl":"discrete","var_start_pos":"20","var_end_pos":"22","var_width":"3","var_rec_seg_no":"1","labl":"Schedule Number","var_qstn_qstnlit":"Schedule Number","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Indicates the NSS schedule number of this survey.","var_catgry":[{"value":"010","labl":null,"stats":"442842","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V280","name":"Sample","file_id":"F10","var_intrvl":"discrete","var_start_pos":"23","var_end_pos":"23","var_width":"1","var_rec_seg_no":"1","labl":"Sample","var_qstn_qstnlit":"Sample","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"442842","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V281","name":"Sector","file_id":"F10","var_intrvl":"discrete","var_start_pos":"24","var_end_pos":"24","var_width":"1","var_rec_seg_no":"1","labl":"Sector","var_qstn_qstnlit":"Sector","var_qstn_ivulnstr":"Record 1 or 2 depending on whether the selected sample village\/ block is classified as Rural or Urban.","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sector : A word used for the rural-urban demarcation.","var_catgry":[{"value":"1","labl":"Rural","stats":"194405","type":"freq"},{"value":"2","labl":"Urban","stats":"248437","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V282","name":"St_Region","file_id":"F10","var_intrvl":"discrete","var_start_pos":"25","var_end_pos":"27","var_width":"3","var_rec_seg_no":"1","labl":"State - region","var_qstn_qstnlit":"State - region","var_qstn_ivulnstr":"State and NSS region to which the sample village\/ block belongs to will be recorded here as per the code list.","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Regions are hierarchical domains of study below the level of State\/ Union Territory in the NSS.","var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V283","name":"State","file_id":"F10","var_intrvl":"discrete","var_start_pos":"28","var_end_pos":"29","var_width":"2","var_rec_seg_no":"1","labl":"State","var_qstn_qstnlit":"State","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu & Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman & Nicobar, Chandigarh, Dadra & Nagar Haveli, Daman & Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.","var_catgry":[{"value":"01","labl":"Jammu & Kashmir","stats":"17360","type":"freq"},{"value":"02","labl":"Himachal Pradesh","stats":"8863","type":"freq"},{"value":"03","labl":"Punjab","stats":"22016","type":"freq"},{"value":"04","labl":"Chandigarh","stats":"1012","type":"freq"},{"value":"05","labl":"Uttaranchal","stats":"4282","type":"freq"},{"value":"06","labl":"Haryana","stats":"10978","type":"freq"},{"value":"07","labl":"Delhi","stats":"4523","type":"freq"},{"value":"08","labl":"Rajasthan","stats":"21089","type":"freq"},{"value":"09","labl":"Uttar Pradesh","stats":"47746","type":"freq"},{"value":"10","labl":"Bihar","stats":"19991","type":"freq"},{"value":"11","labl":"Sikkim","stats":"2165","type":"freq"},{"value":"12","labl":"Arunachal Pradesh","stats":"2231","type":"freq"},{"value":"13","labl":"Nagaland","stats":"4815","type":"freq"},{"value":"14","labl":"Manipur","stats":"5270","type":"freq"},{"value":"15","labl":"Mizoram","stats":"1694","type":"freq"},{"value":"16","labl":"Tripura","stats":"6324","type":"freq"},{"value":"17","labl":"Meghalaya","stats":"4346","type":"freq"},{"value":"18","labl":"Assam","stats":"17454","type":"freq"},{"value":"19","labl":"West Bengal","stats":"28762","type":"freq"},{"value":"20","labl":"Jharkhand","stats":"9955","type":"freq"},{"value":"21","labl":"Orissa","stats":"14136","type":"freq"},{"value":"22","labl":"Chhattisgarh","stats":"6962","type":"freq"},{"value":"23","labl":"Madhya Pradesh","stats":"27384","type":"freq"},{"value":"24","labl":"Gujrat","stats":"22252","type":"freq"},{"value":"25","labl":"Daman & Diu","stats":"1086","type":"freq"},{"value":"26","labl":"Dadra & Nagar Haveli","stats":"1320","type":"freq"},{"value":"27","labl":"Maharastra","stats":"35309","type":"freq"},{"value":"28","labl":"Andhra Pardesh","stats":"24071","type":"freq"},{"value":"29","labl":"Karnataka","stats":"14992","type":"freq"},{"value":"30","labl":"Goa","stats":"2341","type":"freq"},{"value":"31","labl":"Lakshadweep","stats":"1024","type":"freq"},{"value":"32","labl":"Kerala","stats":"19362","type":"freq"},{"value":"33","labl":"Tamil Nadu","stats":"28670","type":"freq"},{"value":"34","labl":"Pondicheri","stats":"1273","type":"freq"},{"value":"35","labl":"Andaman & Nicober","stats":"1784","type":"freq"}],"var_codeinstr":"This variable has been derived from the variable \"State - region\" to enable the users to easily access state wise data.","var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V284","name":"District","file_id":"F10","var_intrvl":"discrete","var_start_pos":"30","var_end_pos":"31","var_width":"2","var_rec_seg_no":"1","labl":"District","var_qstn_qstnlit":"District","var_qstn_ivulnstr":"District to which the sample village\/ block belongs to will be recorded here as per the code list.","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V285","name":"Stratum","file_id":"F10","var_intrvl":"discrete","var_start_pos":"32","var_end_pos":"33","var_width":"2","var_rec_seg_no":"1","labl":"Stratum Number","var_qstn_qstnlit":"Stratum Number","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Within each district of a State\/ UT, two basic strata were formed:\n(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.","var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V286","name":"SubStratum","file_id":"F10","var_intrvl":"discrete","var_start_pos":"34","var_end_pos":"35","var_width":"2","var_rec_seg_no":"1","labl":"Sub-Stratum","var_qstn_qstnlit":"Sub-Stratum","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Allocation to sub-strata\n\nRural sector: \n462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.\n\nUrban sector: \nFor the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.\n\nFor details of sub-stratification see the manual \"Introduction Concepts, Definitions and Procedures\" attached in external resources.","var_catgry":[{"value":"01","labl":null,"stats":"121454","type":"freq"},{"value":"02","labl":null,"stats":"182334","type":"freq"},{"value":"03","labl":null,"stats":"47013","type":"freq"},{"value":"04","labl":null,"stats":"34284","type":"freq"},{"value":"05","labl":null,"stats":"18970","type":"freq"},{"value":"06","labl":null,"stats":"15391","type":"freq"},{"value":"07","labl":null,"stats":"7326","type":"freq"},{"value":"08","labl":null,"stats":"5690","type":"freq"},{"value":"09","labl":null,"stats":"3174","type":"freq"},{"value":"10","labl":null,"stats":"2397","type":"freq"},{"value":"11","labl":null,"stats":"1144","type":"freq"},{"value":"12","labl":null,"stats":"1116","type":"freq"},{"value":"13","labl":null,"stats":"871","type":"freq"},{"value":"14","labl":null,"stats":"551","type":"freq"},{"value":"15","labl":null,"stats":"217","type":"freq"},{"value":"16","labl":null,"stats":"246","type":"freq"},{"value":"17","labl":null,"stats":"239","type":"freq"},{"value":"18","labl":null,"stats":"125","type":"freq"},{"value":"19","labl":null,"stats":"129","type":"freq"},{"value":"20","labl":null,"stats":"55","type":"freq"},{"value":"21","labl":null,"stats":"50","type":"freq"},{"value":"22","labl":null,"stats":"66","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V287","name":"SubRound","file_id":"F10","var_intrvl":"discrete","var_start_pos":"36","var_end_pos":"36","var_width":"1","var_rec_seg_no":"1","labl":"Sub-Round","var_qstn_qstnlit":"Sub-Round","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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.","var_catgry":[{"value":"1","labl":"Sub-round 1","stats":"108182","type":"freq"},{"value":"2","labl":"Sub-round 2","stats":"110293","type":"freq"},{"value":"3","labl":"Sub-round 3","stats":"111833","type":"freq"},{"value":"4","labl":"Sub-round 4","stats":"112534","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V288","name":"SubSample","file_id":"F10","var_intrvl":"discrete","var_start_pos":"37","var_end_pos":"37","var_width":"1","var_rec_seg_no":"1","labl":"Sub - sample","var_qstn_qstnlit":"Sub - sample","var_qstn_ivulnstr":"Record 1 or 2 depending on whether the selected sample village\/block is central sample or state sample","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"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 \nsampling 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. \n \nInterpenetrating 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. \n\nThe 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.","var_catgry":[{"value":"1","labl":"Central sample","stats":"231716","type":"freq"},{"value":"2","labl":"State sample","stats":"211126","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V289","name":"FODSubRegion","file_id":"F10","var_intrvl":"discrete","var_start_pos":"38","var_end_pos":"41","var_width":"4","var_rec_seg_no":"1","labl":"FOD Sub-Region","var_qstn_qstnlit":"FOD Sub-Region","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V290","name":"SegmentNo","file_id":"F10","var_intrvl":"discrete","var_start_pos":"42","var_end_pos":"42","var_width":"1","var_rec_seg_no":"1","labl":"Segment Number","var_qstn_qstnlit":"Segment Number","var_qstn_ivulnstr":"Segment number: This item is to be recorded from the heading of block 5a of Schedule 0.0.\n\nListing all the houses, households residing in the sample FSU (or segment 1 & 2 in case of large FSUs) is to be done in Schedule 0.0.\n\nFormation of segment 9: This will be formed only in the sample FSUs of sub-strata 1 and 2 in the rural sector. After ascertaining the boundaries of the sample FSU, all the DCSSI-listed non-ASI DMEs (i.e. manufacturing enterprises having 6 or more workers having at least one hired worker and registered with DCSSI) will be listed in block 2 of schedule 0.0. This will constitute segment 9 of the FSU.\n\nA large village will be divided into a certain number (D) of sub-divisions called hamlet-groups. The number of hamlet-groups to be formed (i.e. the value of  D) will depend on the approximate present population of the sample FSU and\/or the approximate number of non-agricultural enterprises found to exist in the sample village. Out of all hg's\/sb's formed in the FSU, two hg's\/ sb's may be selected for listing in the following manner - one with the maximum number of DMEs (or with maximum number of NDMEs if there is no DME or with maximum number of OAMEs if there is no DME\/NDME or with maximum percentage share of population if there is no manufacturing enterprise in the entire FSU) will always be selected and termed as Segment 1; one more hg\/sb may be selected randomly and termed as Segment 2. \n\nListing and selection of households\/enterprises will be done independently in segments 9, 1 & 2. FSUs without hg\/sb formation will not have segment 2.","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":null,"stats":"348506","type":"freq"},{"value":"2","labl":null,"stats":"94336","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V291","name":"Stage2_Stratum","file_id":"F10","var_intrvl":"discrete","var_start_pos":"43","var_end_pos":"43","var_width":"1","var_rec_seg_no":"1","labl":"Second Stage Stratum","var_qstn_qstnlit":"Second Stage Stratum","var_qstn_ivulnstr":"Second stage stratum: This item will be copied from the heading of column (11) or (12) of block 5a of Schedule 0.0.","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Formation of second-stage strata and allocation of households: \nAll the households listed in the selected village\/ block\/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.\n\nFor the rural sector, a cut-off point 'X' (in hectares) was determined at State\/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State\/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.\n\nSimilarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State\/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE\nequal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.","var_catgry":[{"value":"1","labl":null,"stats":"198798","type":"freq"},{"value":"2","labl":null,"stats":"244044","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V292","name":"Hhold_no","file_id":"F10","var_dcml":"0","var_intrvl":"contin","var_start_pos":"44","var_end_pos":"44","var_width":"1","var_rec_seg_no":"1","labl":"Sample Household Number","var_qstn_qstnlit":"Sample Household Number","var_qstn_ivulnstr":"Sample household number:  The sample household number (i.e., order of selection)  of the selected household is to be copied from column (11) or (12) of block 5a of Schedule 0.0.","var_val_range":[{"units":null,"min":"1","max":"4"}],"var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"},{"value":"1","type":"min"},{"value":"4","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F10"},{"vid":"V293","name":"Level","file_id":"F10","var_intrvl":"discrete","var_start_pos":"45","var_end_pos":"46","var_width":"2","var_rec_seg_no":"1","labl":"Level","var_qstn_qstnlit":"Level","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"07","labl":null,"stats":"442842","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V294","name":"B11_q1","file_id":"F10","var_intrvl":"discrete","var_start_pos":"47","var_end_pos":"49","var_width":"3","var_rec_seg_no":"1","labl":"Block 11  Item Code","var_qstn_qstnlit":"Block 11  Item Code","var_sumstat":[{"value":"442842","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"550","labl":"bedstead","stats":null,"type":null},{"value":"551","labl":"almirah, dressing table","stats":null,"type":null},{"value":"552","labl":"chair, stool, bench, table","stats":null,"type":null},{"value":"553","labl":"suitcase, trunk, box, handbag and other travel goods","stats":null,"type":null},{"value":"554","labl":"foam, rubber cushion","stats":null,"type":null},{"value":"555","labl":"carpet, daree & other floor mattings","stats":null,"type":null},{"value":"556","labl":"paintings, drawings, engravings, etc.","stats":null,"type":null},{"value":"557","labl":"other furniture & fixtures (couch, sofa, etc.)","stats":null,"type":null},{"value":"559","labl":"furniture & fixtures: sub-total (550-557)","stats":null,"type":null},{"value":"560","labl":"radio","stats":null,"type":null},{"value":"561","labl":"television","stats":null,"type":null},{"value":"562","labl":"VCR\/VCP\/DVD player","stats":null,"type":null},{"value":"563","labl":"camera & photographic equipment","stats":null,"type":null},{"value":"564","labl":"tape recorder, CD player","stats":null,"type":null},{"value":"565","labl":"audio\/video cassette, CD, DVD, etc.","stats":null,"type":null},{"value":"566","labl":"musical instruments","stats":null,"type":null},{"value":"567","labl":"other goods for recreation","stats":null,"type":null},{"value":"569","labl":"goods for recreation: sub-total (560-567)","stats":null,"type":null},{"value":"570","labl":"gold ornaments","stats":null,"type":null},{"value":"571","labl":"silver ornaments","stats":null,"type":null},{"value":"572","labl":"jewels, pearls","stats":null,"type":null},{"value":"573","labl":"other ornaments","stats":null,"type":null},{"value":"579","labl":"jewellery & ornaments: sub-total (570-573)","stats":null,"type":null},{"value":"580","labl":"stainless steel utensils","stats":null,"type":null},{"value":"581","labl":"other metal utensils","stats":null,"type":null},{"value":"582","labl":"casseroles, thermos, thermoware","stats":null,"type":null},{"value":"583","labl":"other crockery & utensils","stats":null,"type":null},{"value":"589","labl":"crockery & utensils: sub-total (580-583)","stats":null,"type":null},{"value":"590","labl":"electric fan","stats":null,"type":null},{"value":"591","labl":"air conditioner, air cooler","stats":null,"type":null},{"value":"592","labl":"lantern, lamp, electric lampshade","stats":null,"type":null},{"value":"593","labl":"sewing machine","stats":null,"type":null},{"value":"594","labl":"washing machine","stats":null,"type":null},{"value":"595","labl":"stove","stats":null,"type":null},{"value":"596","labl":"pressure cooker\/ pressure pan","stats":null,"type":null},{"value":"597","labl":"refrigerator","stats":null,"type":null},{"value":"598","labl":"water purifier","stats":null,"type":null},{"value":"600","labl":"electric iron, heater, toaster, oven & other electric heating appliances","stats":null,"type":null},{"value":"601","labl":"other cooking\/ household appliances","stats":null,"type":null},{"value":"609","labl":"cooking & other household appliances: sub-total (590-601)","stats":null,"type":null},{"value":"610","labl":"bicycle","stats":null,"type":null},{"value":"611","labl":"motor cycle, scooter","stats":null,"type":null},{"value":"612","labl":"motor car, jeep","stats":null,"type":null},{"value":"613","labl":"tyres & tubes","stats":null,"type":null},{"value":"614","labl":"other transport equipment","stats":null,"type":null},{"value":"619","labl":"personal transport equipment: sub-total  (610-614)","stats":null,"type":null},{"value":"620","labl":"glass eyes, hearing aids & orthopaedic equipment","stats":null,"type":null},{"value":"621","labl":"other medical equipment","stats":null,"type":null},{"value":"629","labl":"therapeutic appliances: sub-total (620-621)","stats":null,"type":null},{"value":"630","labl":"clock, watch","stats":null,"type":null},{"value":"631","labl":"other machines for household work","stats":null,"type":null},{"value":"632","labl":"personal computer","stats":null,"type":null},{"value":"633","labl":"mobile handset","stats":null,"type":null},{"value":"634","labl":"telephone instrument (landline)","stats":null,"type":null},{"value":"635","labl":"any other personal goods","stats":null,"type":null},{"value":"639","labl":"other personal goods: sub-total (630-635)","stats":null,"type":null},{"value":"640","labl":"bathroom and sanitary equipment","stats":null,"type":null},{"value":"641","labl":"plugs, switches & other electrical fittings","stats":null,"type":null},{"value":"642","labl":"residential building & land (cost of repairs only)","stats":null,"type":null},{"value":"643","labl":"other durables (specify)\u2026................","stats":null,"type":null},{"value":"649","labl":"residential building, land and other durables: sub-total (640-643)","stats":null,"type":null},{"value":"659","labl":"durable  goods: total (559+569+579+589+609+619+629+639+649)","stats":null,"type":null}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V295","name":"B11_q3","file_id":"F10","var_dcml":"0","var_intrvl":"contin","var_start_pos":"50","var_end_pos":"52","var_width":"3","var_rec_seg_no":"1","labl":"No. in use on the date of survey","var_qstn_qstnlit":"How many numbers of the item are being used by the household on the date of survey?","var_qstn_ivulnstr":"The number in use on the date of survey of each item of durable goods will be entered in this column. It will also include those items which may not be in use temporarily but are likely to be put into use after repair\/necessary servicing. For certain items the entry cell has been shaded in this column; this means that column (3) need not be filled in.","var_val_range":[{"units":null,"min":"0","max":"630"}],"var_sumstat":[{"value":"276659","type":"vald"},{"value":"166183","type":"invd"},{"value":"0","type":"min"},{"value":"630","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F10"},{"vid":"V296","name":"B11_q4","file_id":"F10","var_dcml":"0","var_intrvl":"contin","var_start_pos":"53","var_end_pos":"54","var_width":"2","var_rec_seg_no":"1","labl":"First hand purchase - number","var_qstn_qstnlit":"How many numbers of the item were first hand purchase?","var_qstn_ivulnstr":"The number of each item of durable goods purchased (first-hand) for which some expenditure has been incurred during the reference period will be recorded in this column.","var_val_range":[{"units":null,"min":"0","max":"20"}],"var_sumstat":[{"value":"10341","type":"vald"},{"value":"432501","type":"invd"},{"value":"0","type":"min"},{"value":"20","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F10"},{"vid":"V297","name":"B11_q5","file_id":"F10","var_intrvl":"discrete","var_start_pos":"55","var_end_pos":"55","var_width":"1","var_rec_seg_no":"1","labl":"First hand purchase - whether hire purchased","var_qstn_qstnlit":"Whether the item was hire purchased?","var_qstn_ivulnstr":"If an item of durable goods is purchased on instalment payment and the expenditure made on it during the reference period consists of one or more such instalment payments, code 1 will be recorded in this column.  Otherwise i.e., when durable goods are purchased and entire amount is paid during the 4.11.0\treference period, code 2 will be recorded in this column.\n\nNote: If more than one of a particular item are purchased during the reference period and some of them are purchased on hire-purchase basis and the remaining are purchased outright, then code 1 will be recorded in this column.","var_sumstat":[{"value":"42713","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":"3466","type":"freq"},{"value":"2","labl":"No","stats":"39247","type":"freq"}],"var_format":"character","var_format_schema":"other","fid":"F10"},{"vid":"V298","name":"B11_q6","file_id":"F10","var_dcml":"0","var_intrvl":"contin","var_start_pos":"56","var_end_pos":"61","var_width":"6","var_rec_seg_no":"1","labl":"First hand purchase - value (in Rs.)","var_qstn_qstnlit":"How much did the household spend on the item of the first hand purchase?","var_qstn_ivulnstr":"Value of first-hand purchase during the reference period will be entered in this column. The total amount paid during the reference period will be recorded here.","var_val_range":[{"units":null,"min":"0","max":"750000"}],"var_sumstat":[{"value":"100910","type":"vald"},{"value":"341932","type":"invd"},{"value":"0","type":"min"},{"value":"750000","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F10"},{"vid":"V299","name":"B11_q7","file_id":"F10","var_dcml":"0","var_intrvl":"contin","var_start_pos":"62","var_end_pos":"67","var_width":"6","var_rec_seg_no":"1","labl":"Cost of raw materials & services for construction & repairs (in Rs.)","var_qstn_qstnlit":"How much was paid by the household towards the cost of raw materials & services?","var_qstn_ivulnstr":"This column is for recording expenditure on materials and services for construction, assemblage, repair and maintenance of all durable goods - first-hand as well as second-hand. Value of durable goods constructed will comprise value of raw materials, services and\/or labour charges and any other charges. The total value of raw materials, services and labour charges will be recorded in this block. Here, expenditure incurred towards repair and maintenance of items purchased on second-hand will also be accounted.\n\nNote: 1. The purchase value of a consumer durable constructed or repaired by an artisan for his\/her domestic use will be the aggregate of the purchase value of the raw material components used and imputed value of his\/her services for its construction\/repairs.\n        2.  If an article is repaired during the reference period by one of the sample household members then the repair charges will be imputed and recorded against appropriate item only if the household member is a professional for that repairing job.","var_val_range":[{"units":null,"min":"0","max":"302255"}],"var_sumstat":[{"value":"136745","type":"vald"},{"value":"306097","type":"invd"},{"value":"0","type":"min"},{"value":"302255","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F10"},{"vid":"V300","name":"B11_q8","file_id":"F10","var_dcml":"0","var_intrvl":"contin","var_start_pos":"68","var_end_pos":"68","var_width":"1","var_rec_seg_no":"1","labl":"Second Hand Purchase - Number","var_qstn_qstnlit":"How many numbers of the item were second hand purchase?","var_qstn_ivulnstr":"The number of each item of second-hand durable goods purchased during the reference period will be recorded in this column. An imported item of durables, even if second-hand, will be treated as first-hand purchase and information will be recorded against the relevant columns.","var_val_range":[{"units":null,"min":"0","max":"4"}],"var_sumstat":[{"value":"419","type":"vald"},{"value":"442423","type":"invd"},{"value":"0","type":"min"},{"value":"4","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F10"},{"vid":"V301","name":"B11_q9","file_id":"F10","var_dcml":"0","var_intrvl":"contin","var_start_pos":"69","var_end_pos":"74","var_width":"6","var_rec_seg_no":"1","labl":"Second Hand Purchase - Value in cash (in Rs.)","var_qstn_qstnlit":"How much did the household spend in cash on the item of the second hand purchase?","var_qstn_ivulnstr":"Value of second-hand purchase during the reference period will be entered in this column.","var_val_range":[{"units":null,"min":"0","max":"225000"}],"var_sumstat":[{"value":"1379","type":"vald"},{"value":"441463","type":"invd"},{"value":"0","type":"min"},{"value":"225000","type":"max"}],"var_format":"numeric","var_format_schema":"other","fid":"F10"},{"vid":"V302","name":"B11_q10","file_id":"F10","var_dcml":"0","var_intrvl":"contin","var_start_pos":"75","var_end_pos":"80","var_width":"6","var_rec_seg_no":"1","labl":"Total expenditure (in Rs.)","var_qstn_ivulnstr":"It is the sum of value of first-hand purchase, cost of raw materials and services for construction and repair and value of the second-hand purchase. In other words, it means column (10) = column (6) + column (7) + column 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