NSSO_65_Schedule_1.2_Housing Condition DDI-IND-MOSPI-NSSO-65Rnd-Sch1dot2-2008-09

M.R.BALAKRISHNAN

Computer Centre 2012-05-07 Nesstar Publisher Version 1.0 (May 2012) Housing Condition Survey: NSS 65th Round, Schedule 1.2, July 2008- June 2009 DDI-IND-MOSPI-NSSO-65Rnd-Sch1dot2-2008-09 National Sample Survey Office

Governing council and Working Group

Survey Design Reearch Division Field Operations Division Data Processing Division Computer Centre Nesstar Publisher M/o Statistics & Programme Implementation, GOI ADG, SDRD , NSSO Socio-Economic/Household Survey Housing condition Building Flood risk Approach Road Dwelling Living facilities Building construction NSS 65th Round Schedule 1.2 July 2006 - June 2007 The NSS 65th round (July 2008-June 2009) was comprehensively dedicated to the all India survey on housing condition. In this round, a nation-wide survey enquiry was organised to provide estimates on various characteristics of housing amenities, housing condition, cost of construction, etc. Information on housing condition collected through schedule 1.2 canvassed in the NSS 65th Round is broadly categorised into three groups. Firstly, information on the particulars of various facilities available to the sample households for decent living such as drinking water, latrine, bathroom, electricity etc. which were collected from all the selected households. Secondly, information was collected on some of the characteristics of the houses, particulars of the dwelling unit and the micro environment surrounding the dwelling unit from the households who were living in houses. These broadly relate to different aspects of the structure of the houses, number of rooms, floor area, rent of the hired dwellings, use of the house, age of the structure, condition of the structure, drainage arrangement, garbage collection arrangement, etc. Finally, information regarding number of constructions undertaken, number of constructions completed, type of constructions, cost of constructions, sources of finance, etc. was collected from the households who undertook constructions during the last 365 days, Besides, information was collected on first hand purchase of constructed house/flat by the households during the last 365 days such as number of such purchases, their area and cost. India The survey covered the whole of the Indian Union except (i) interior villages of Nagaland situated beyond five kilometres of the bus route and (ii) villages in Andaman and Nicobar Islands which remained inaccessible throughout the year. Randomly selected households based on sampling procedure. The survey used the interview method of data collection from a sample of randomly selected households and members of the household Sample survey data [ssd] Field Operations Division of Naional Sample Survey Office A stratified multi-stage design was adopted for the 65th round survey. The first stage units (FSU) were the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. For towns where no UFS frame was available (applicable to Leh and Kargil towns of J & K), each town was treated as an FSU. The ultimate stage units (USU) were households in both the sectors. In case of large FSUs, one intermediate stage of sampling was the selection of two hamlet-groups (hgs)/ sub-blocks (sbs) from each FSU. Details of the sample design and estimation procedure may be found attached as a document in the external resources. There was no deviation from the original sample deviation. Face-to-face [f2f] In external resources find attached as a document In external resources find attached as a document Computer Centre Validated unit level data relating to various survey rounds are available on CD-ROMS which can be obtained from the Deputy Director General, Computer Centre, M/O Statistics and PI, East Block No. 10 R.K. Puram, New Delhi-110066 by remitting the price along with packaging and postal charges as well as giving an undertaking duly signed in a specified format.The amount is to be remitted by way of demand draft drawn in favour of Pay & Accounts Officer, Ministry of Statistics & Programme Implementation, payable at New Delhi. 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. Block-1-2-Identification-household-records.NSDstat This dataset contains identification particulars of the sample household and few particulars of field operations. 153518 28 Nesstar 200801 NSSO Block-3-Household characteristics records.NSDstat This dataset consist of information relating to household characteristics like household size, gender of the head of the household, principal industry and occupation, religion, social group, household type, tenurial status of dwelling, land possessed, area type in which the dwelling unit is located, maximum distance to the place of work normally travelled by any earner of the household, monthly per capita consumer expenditure, etc. 153518 42 Nesstar 200801 NSSO Block-4-Household living facilities-records.NSDstat Information relating to housing amenities, such as major source of drinking water, facility of bathroom, use of latrine, type of latrine, whether the household has electricity for domestic use, etc., are the content of this dataset. 153518 46 Nesstar 200801 NSSO Block-5-Housing characteristics-environment-records.NSDstat Infomation relating to the house/building in which the sample household lives and particulars relating to the environment around the house/building are the content of this dataset. 153461 35 Nesstar 200801 Block-6-Dwelling particulars-records.NSDstat Details regarding the living accommodation occupied by the household contained in this dataset. 153461 40 Nesstar 200801 NSSO Block-7-Constructions-records.NSDstat This dataset contain information like type of construction, floor area, expenditure incurred, source of finance, etc., in respect of constructions undertaken, either at the present premises or elsewhere, during the last 365 days. This apart, number of constructed houses/flats purchased first-hand during the last 365 days are also recorded separately along with their floor area and cost of acquiring them. 15282 54 Nesstar 200801 NSSO Key to locate Hhold 153518 0 Record_Identifier 153518 0 01 153518 Round 153518 0 Indicate NSS survey round no. 65 NSS 65 Round 153518 Schedule Number 153518 0 Indicate schedule number 1.2 120 Schedule 1.2 153518 Sample Sample (1-Central or 2-State) 153518 0 1 Central sample 153350 2 State sample 168 Sub-Round Sub-Round 153518 0 1 Sub-round-1 38258 2 Sub-round-2 38442 3 Sub-round-3 38446 4 Sub-round-4 38372 Sub-Sample Sub-sample 153518 0 As per census arrangement the villages have been arranged and FSUs have been selected by circular systematic sampling with probability proportional to population for all rural strata. For urban strata x sub-strata (wherever applicable), the towns within the stratum have been arranged in ascending order of population; then FSUs were selected by circular systematic sampling with equal probability for UFS towns. Within each stratum/ sub-stratum, multiple of 4 FSUs were selected. Samples have been drawn in the form of two independent sub-samples (sub-sample-1 and 2) 1 Sub-sample-1 76711 2 Sub-sample-2 76807 Sector Sector code (1-Rural,2-Urban) 153518 0 In the NSS, the domains of study are usually rural and urban areas within a zone, state, region or district. The rural and urban areas of the country are taken as adopted in the latest population census. 1 Rural 97144 2 Urban 56374 State State Code 153518 0 States and Union Territories are the broad domains of study in the NSS. They are assigned 2 digited codes, 01 Jammu & Kashmir 2264 02 Himachal Pradesh 2271 03 Punjab 3422 04 Chandigarh 548 05 Uttaranchal 1343 06 Haryana 2878 07 Delhi 3361 08 Rajasthan 6671 09 Uttar Pradesh 18744 10 Bihar 6652 11 Sikkim 1292 12 Arunachal Pradesh 1692 13 Nagaland 1332 14 Manipur 3456 15 Mizoram 1908 16 Tripura 3456 17 Meghalaya 2100 18 Assam 5554 19 West Bengal 12073 20 Jharkhand 3248 21 Orissa 5831 22 Chhattisgarh 2554 23 Madhya Pradesh 8393 24 Gujrat 6278 25 Daman & Diu 384 26 Dadra & Nagar Haveli 384 27 Maharastra 12356 28 Andhra Pardesh 9101 29 Karnataka 6509 30 Goa 479 31 Lakshadweep 190 32 Kerala 6190 33 Tamil Nadu 9488 34 Pondicheri 672 35 Andaman & Nicober 444 Region Region code 153518 0 States have been divided into regions by grouping contiguous districts similar in respect of population density and crop pattern. In Gujarat, however, some districts have been split for the purpose of region formation, considering the location of dry areas and the distribution of tribal population in the state. The compositions of the regions are given in Appendix-II of instruction manual 1 Region-1 56893 2 Region-2 38049 3 Region-3 25828 4 Region-4 16226 5 Region-5 14410 6 Region-6 2112 FOD Sub-Region 153518 0 District District code 153518 0 Stratum Stratum no 153518 0 Sub-Stratum(urban only) Sub-stratum no 56363 0 FSU Serial number First Stage Unit (FSU) no. 153518 0 A stratified multi-stage design has been adopted for the 65th round survey. The first stage units (FSU) are the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. For towns with no UFS frame available (applicable to Leh and Kargil towns of J & K), each town is treated as an FSU. hamlet group/ sub block No Hamlet-group/ Sub-block No. 153518 0 Large sample FSUs with approximate present population of 1200 or more are divided into a suitable number (say, D) of 'hamlet-groups' in the rural sector and 'sub-blocks' in the urban sector, by more or less equalizing present population of the FSU.The FSUs without hg/ sb formation are treated as sample hg/ sb number 1. Second Stage Stratum no. Second stage stratum no. 153518 0 Household No. Sample Household no 153518 0 Informant's relation to head (code) Informant's relation to head (code) Information in this schedule will be collected from the usual members of the household. The informant will be the household member who provides bulk of the information for the selected household. In case, the household members of the selected household could not provide bulk of the information, the household will be substituted by another household. Informant's relation to the head of the household will be ascertained and recorded in codes in this item. 153457 0 1 105098 2 Other member(s) of household 48359 Response Code Respons code This item will be filled in after collecting information for all items in the schedule. The entry is to be made in terms of codes on the basis of the impression formed by the investigator regarding the overall response of the informant. 153518 0 1 123801 2 Informant co-operative but not capable 26480 3 1803 4 1313 9 121 Survey Code Survey code Whether the originally selected sample household or a substituted household has been surveyed will be indicated against this item by recording code '1' if the originally selected household has been surveyed and code '2' if the substitute household has been surveyed. If neither the originally selected household nor a substitute household could be surveyed, i.e., if the sample household is a casualty, code '3' will be recorded. In case of a casualty, only the blocks 0, 1, 2, 8, 9 and 10 are to be filled up and on the top of the front page of the schedule the word 'CASUALTY' will be written in block capitals. 153518 0 1 Original hhold surveyed 150520 2 Substitute hhold surveyed 2998 Reason for substitution (code) Reason for substitution of original household (code) For an originally selected sample household, which could not be surveyed, irrespective of whether a substituted household could be surveyed or not, the reason for not surveying the original household will be recorded against item 19 in terms of codes. 2998 0 1 119 2 2403 3 Informant non-cooperative 307 9 169 Date of Survey(ddmmyy) 153509 9 10109 311208 179303.885 71715.994 Multiplier Sub-sample-wise(0.00) 153518 0 0.93 200328.38 2926.179 4140.229 Generated Multiplier (Weight) variable- Use this for sub-sample wise estimation Multiplier Combined(0.00) 153518 0 0.465 100164.19 1463.089 2070.114 Generated Multiplier (Weight) variable- use this for combined estimation (i.e all subsamples and subround combined) Sub-sample NS 153518 0 1 96 11.015 12.508 Posted variables used for multiplier calculation. 153518 0 3 192 22.027 25.015 Posted variables used for multiplier calculation. Multiplier posted 153518 0 93 20032838 292617.887 414022.89 Posted variables used for multiplier calculation. Key to locate Hhold 153518 0 Same as given in dataset of Block-1_2 Record_Identifier 153518 0 Same as given in dataset of Block-1_2 03 153518 Round 153518 0 Same as given in dataset of Block-1_2 65 NSS 65 Round 153518 Schedule Number 153518 0 Same as given in dataset of Block-1_2 120 Schedule 1.2 153518 Sample Same as given in dataset of Block-1_2 153518 0 Same as given in dataset of Block-1_2 1 Central sample 153350 2 State sample 168 Sub-Round Same as given in dataset of Block-1_2 153518 0 Same as given in dataset of Block-1_2 1 Sub-round-1 38258 2 Sub-round-2 38442 3 38446 4 38372 Sub-Sample Same as given in dataset of Block-1_2 153518 0 Same as given in dataset of Block-1_2 1 Sub-sample-1 76711 2 Sub-sample-2 76807 Sector Same as given in dataset of Block-1_2 153518 0 Same as given in dataset of Block-1_2 1 Rural 97144 2 Urban 56374 State Same as given in dataset of Block-1_2 153518 0 Same as given in dataset of Block-1_2 01 Jammu & Kashmir 2264 02 Himachal Pradesh 2271 03 Punjab 3422 04 Chandigarh 548 05 Uttaranchal 1343 06 Haryana 2878 07 Delhi 3361 08 Rajasthan 6671 09 Uttar Pradesh 18744 10 Bihar 6652 11 Sikkim 1292 12 Arunachal Pradesh 1692 13 Nagaland 1332 14 Manipur 3456 15 Mizoram 1908 16 Tripura 3456 17 Meghalaya 2100 18 Assam 5554 19 West Bengal 12073 20 Jharkhand 3248 21 Orissa 5831 22 Chhattisgarh 2554 23 Madhya Pradesh 8393 24 Gujrat 6278 25 Daman & Diu 384 26 Dadra & Nagar Haveli 384 27 Maharastra 12356 28 Andhra Pardesh 9101 29 Karnataka 6509 30 Goa 479 31 Lakshadweep 190 32 Kerala 6190 33 Tamil Nadu 9488 34 Pondicheri 672 35 Andaman & Nicober 444 Region Same as given in dataset of Block-1_2 153518 0 Same as given in dataset of Block-1_2 1 Region-1 56893 2 Region-2 38049 3 Region-3 25828 4 Region-4 16226 5 Region-5 14410 6 Region-6 2112 FOD Sub-Region Same as given in dataset of Block-1_2 153518 0 Same as given in dataset of Block-1_2 District Same as given in dataset of Block-1_2 153518 0 Same as given in dataset of Block-1_2 Stratum Same as given in dataset of Block-1_2 153518 0 Same as given in dataset of Block-1_2 Sub-Stratum(urban only) Same as given in dataset of Block-1_2 56363 0 Same as given in dataset of Block-1_2 FSU Serial number Same as given in dataset of Block-1_2 153518 0 Same as given in dataset of Block-1_2 hg/ sb Number Same as given in dataset of Block-1_2 153518 0 Same as given in dataset of Block-1_2 Second Stage Stratum no. Same as given in dataset of Block-1_2 153518 0 Same as given in dataset of Block-1_2 Household No. Same as given in dataset of Block-1_2 153518 0 Same as given in dataset of Block-1_2 Hh size-Male Household size-Male Household size is to be recorded in this item. The total number of male (including eunuch) members of the household will be recorded. 149616 3902 0 23 2.537 1.411 Hh size-Female Household size-female Household size is to be recorded in this item. The total number of female members of the household will be recorded. 148912 4606 0 22 2.443 1.387 Hh size- Total Household size-Total Household size is to be recorded in this item. The total number members of the household will be recorded 153518 0 1 40 4.841 2.443 Gender of the head gender of the head of the household will be recorded. Code 1 will be recorded if the head of household is male and code 2 will be recorded if the head of the household is female. If the head of household is eunuch, code '1' will also be recorded 153450 0 1 Male 136140 2 Female 17310 NIC-2004 Principal industry (NIC-2004) The description of the principal household industry will be recorded in the space provided. The appropriate five-digit industry code of the NIC-2004 is to be recorded . For households deriving income from non-economic activities only, (e.g. for a household where income is derived only from pension/ begging/ prostitution, etc.) a dash (-) may be put against this item 144231 0 NCO-2004 Principal occupation (NCO-2004) The description of the principal household occupation will be recorded in the space provided. The appropriate three-digit occupation code of the NCO-2004 is to be recordedl. For households deriving income from non-economic activities only, a dash (-) may be put against this item. 144121 0 Hh type Household type 153518 0 0 NR 70 11 Self-employed in non-agriculture(Rural) 13321 12 25318 13 12140 14 35301 19 11030 21 21219 22 20888 23 8725 29 5506 This code has been derived from original household type code recorded by prefixing the sector code (1 for rural and 2 for urban Religion Religion The religion of the household will be recorded against this item in codes. If different mem­bers of the household claim to belong to different religions, the religion of the head of the household will be considered as the religion of the household. 153499 0 1 119550 2 19011 3 9280 4 2396 5 333 6 1732 7 20 9 1177 Social group Social group Whether the household belongs to scheduled tribe, scheduled caste or other backward class will be indicated against this item in terms of codes 153476 0 1 20226 2 30017 3 57195 9 46038 Land possessed Land possessed as on date of survey(code) Land possessed is given by land owned (including land under 'owner like possession') + land leased in - land leased out + land held by the household but neither owned nor leased in (e.g., encroached land). The area of land possessed by the household within the country only as on the date of survey will be worked out in hectares and the relevant code corresponding to the area of land is to be recorded against this item. 153286 0 01 less than 0.005 37529 02 37114 03 25038 04 14975 05 17220 06 12465 07 5027 08 2087 10 1023 11 380 12 428 Tenurial status Tenurial status of dwelling 153518 0 1 127936 2 1309 3 4174 4 2122 5 Hired dwelling units without written contract 14653 6 57 9 3267 Area type Ask this question if answer to Q.11 is code-1to5 or 9 If entry 1 to 5 or 9 in item 11, area type in which the dwelling unit is located Skip otherwise For those who are living in houses (i.e., excluding those with no dwelling: code 6 in item 11), information on the type of area in which the dwelling unit is located will be recorded against this item in terms of codes. 153473 0 1 3957 2 3553 3 Squatter settlement 763 9 145200 Max distance to the place of work Maximum distance to the place of work normally travelled by any earner of the household (code) 153093 0 1 25662 2 30205 3 59786 4 20854 5 10 k.m. or more but less than 15 k.m 8173 6 15 k.m. or more but less than 30 k.m. 4614 7 3799 Purchase (Rs.) Household consumer expenditure during last 30 days out of :-Purchase (Rs.) 153234 284 0 275000 3393.93 3212.764 Home produced (Rs.) Household consumer expenditure during last 30 days out of :-Home produced (Rs.) See q.14 for details 71538 81980 0 20000 928.44 892.979 Exchange of goods & services (Rs.) Household consumer expenditure during last 30 days out of :-Exchange of goods & services (Rs.) See q.14 for details 21365 132153 0 22000 324.611 577.176 Gifts & loans (Rs.) Household consumer expenditure during last 30 days out of :-Gifts & loans (Rs.) See q.14 for details 31635 121883 0 100000 256.288 735.553 Free collection (Rs.) Household consumer expenditure during last 30 days out of :-Free collection (Rs.) See q.14 for details 70589 82929 0 7500 242.17 211.546 Total (items 14 to 18) (Rs.) Household consumer expenditure during last 30 days Total (items 14 to 18) (Rs.) See q.14 for details 153518 0 20 381700 4029.636 3287.841 Multiplier Sub-sample-wise 153518 0 0.93 200328.38 2926.179 4140.229 Same as given in dataset of Block-1_2 Multiplier Combined 153518 0 0.465 100164.19 1463.089 2070.114 Same as given in dataset of Block-1_2 Sub-sample NS 153518 0 1 96 11.015 12.508 Same as given in dataset of Block-1_2 153518 0 3 192 22.027 25.015 Same as given in dataset of Block-1_2 SS multiplier posted 153518 0 93 20032838 292617.887 414022.89 Same as given in dataset of Block-1_2 Key to locate Hhold Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 Record_Identifier Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 04 Block - 4 of schedule 153518 Round Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 65 NSS 65 Round 153518 Schedule Number Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 120 Schedule 1.2 153518 Sample Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 1 Central sample 153350 2 State sample 168 Sub-Round Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 1 Sub-round-1 38258 2 Sub-round-2 38442 3 Sub-round-3 38446 4 Sub-round-4 38372 Sub-Sample Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 1 Sub-sample-1 76711 2 Sub-sample-2 76807 Sector Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 1 Rural 97144 2 Urban 56374 State Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 01 Jammu & Kashmir 2264 02 Himachal Pradesh 2271 03 Punjab 3422 04 Chandigarh 548 05 Uttaranchal 1343 06 Haryana 2878 07 Delhi 3361 08 Rajasthan 6671 09 Uttar Pradesh 18744 10 Bihar 6652 11 Sikkim 1292 12 Arunachal Pradesh 1692 13 Nagaland 1332 14 Manipur 3456 15 Mizoram 1908 16 Tripura 3456 17 Meghalaya 2100 18 Assam 5554 19 West Bengal 12073 20 Jharkhand 3248 21 Orissa 5831 22 Chhattisgarh 2554 23 Madhya Pradesh 8393 24 Gujrat 6278 25 Daman & Diu 384 26 Dadra & Nagar Haveli 384 27 Maharastra 12356 28 Andhra Pardesh 9101 29 Karnataka 6509 30 Goa 479 31 Lakshadweep 190 32 Kerala 6190 33 Tamil Nadu 9488 34 Pondicheri 672 35 Andaman & Nicober 444 Region Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 1 Region-1 56893 2 Region-2 38049 3 Region-3 25828 4 Region-4 16226 5 Region-5 14410 6 Region-6 2112 FOD Sub-Region Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 District Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 Stratum Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 Sub-Stratum(urban only) Same as in dataset of Block-1_2 56363 0 Same as in dataset of Block-1_2 FSU Serial number Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 hg/ sb Number Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 Second Stage Stratum no. Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 Household No. Same as in dataset of Block-1_2 153518 0 Same as in dataset of Block-1_2 Major source of drinking water- cell 1 Major source of drinking water (record the two most often used sources against cell 1 and cell 2 in descending order of uses) 153516 0 01 1484 02 70909 03 58501 04 7511 05 7519 06 Tank/pond (reserved for drinking) 1610 07 673 08 1419 10 2848 11 176 19 866 Major source of drinking water- cell 2 Same as in Q.1_1 Same as in Q.1_1 39594 0 01 580 02 3953 03 12878 04 4405 05 5810 06 Tank/pond (reserved for drinking) 1272 07 1943 08 2649 10 2334 11 1522 19 2248 Whether drinking water sufficient Whether availability of drinking water from the first source (most often used source) is sufficient throughout the year? This information will be collected in respect of the 'most often used source' recorded against cell 1 of item 1. For collecting this information, the investigator will have to depend on the judgement of the informant. Code 1 will be recorded if the reply is affirmative; otherwise code 2 will be recorded. 153518 0 1 Yes 132006 2 No 21512 Dinking water-Jan If code 2 in item 2, during which calendar months of the year availability of drinking water was not sufficient? For the households which did not get sufficient drinking water throughout the year from the first source (most often used source), information will be collected regarding the calendar months of the year during which availability of drinking water was not sufficient from the first source. 12 cells have been provided against this item to record information for all the 12 calendar months of the year. Each cell is earmarked, with the name of the month written at the top of the cell to enter the code for eligible month. Code '1' will be recorded in the cell for the calendar month if availability of drinking water was not sufficient in that month. The cell(s) corresponding to the calendar month(s) will be left blank for which availability of drinking water was not considered not sufficient during the year. 3138 0 1 Insufficient 3138 Dinking water-Feb Same as in Q3_1 Same as in Q3_1 4090 0 1 Insufficient 4090 Dinking water-Mar Same as in Q3_1 Same as in Q3_1 7102 0 1 Insufficient 7102 Dinking water-Apr Same as in Q3_1 Same as in Q3_1 13213 0 1 Insufficient 13213 Dinking water-May Same as in Q3_1 Same as in Q3_1 17256 0 1 Insufficient 17256 Dinking waterr-Jun Same as in Q3_1 Same as in Q3_1 12397 0 1 Insufficient 12397 Drinking water-Jul Same as in Q3_1 Same as in Q3_1 3365 0 1 Insufficient 3365 Drinking water-Aug Same as in Q3_1 Same as in Q3_1 1013 0 1 Insufficient 1013 Drinking water-Sep Same as in Q3_1 Same as in Q3_1 506 0 1 Insufficient 506 Drinking water-Oct Same as in Q3_1 Same as in Q3_1 523 0 1 Insufficient 523 Drinking water-Nov Same as in Q3_1 Same as in Q3_1 1315 0 1 Insufficient 1315 Drinking water-Dec Same as in Q3_1 Same as in Q3_1 2278 0 1 Insufficient 2278 Facility of drinking water Facility of drinking water 153483 0 1 55106 2 Common use of households in the building 19391 3 72109 9 6877 Distance of the drinking water source Distance to the source of drinking water For the households with more than one sources of drinking water recorded in item 1, the information for this item will relate to the first source (most often used source). The distance to the first source of drinking water from the dwelling unit will be ascertained and recorded in codes. 153123 0 1 36567 2 Outside dwelling but within the premises 40333 3 62684 4 11028 5 1740 6 375 7 396 Facility of bathroom Facility of bathroom: Information about the bathroom facility available to the members of the household will be indicated against this item in codes. 153498 0 1 Bathroom attached 36572 2 40076 3 76850 Distance from the bathing place Distance from the bathing place The distance of the bathing place from the dwelling unit will be ascertained and entered against this item in codes. If the household members use more than one bathing place, the one used by majority of the members will be its bathing place. An enclosed area without a roof used for bathing purposes will also be considered as a bathing place, but not as a bathroom. 153443 0 1 60452 2 Outside dwelling but within the premises 65697 3 20878 4 4913 5 1266 6 121 7 116 Use of latrine Use of latrine: In this item information will be collected about whether the household's latrine facility is for its exclusive use or shared with one or more households in the building or for use of households in the locality or whether the household does not have access to latrine facility. 153508 0 1 65611 2 Shared latrine with other household(s) 17761 3 5222 4 64914 Type of latrine If code 1, 2 or 3 in item 8, type of latrine Skip this question otherwise 88494 0 1 2817 2 24547 3 septic tank/flush 57223 4 733 9 3174 Electricity for domestic use Whether the household has electricity for domestic use? If the household has electricity facilities for domestic use code 1 will be recorded, otherwise code will be 2. The use of the electricity may be for lighting or cooking or for both. Electricity may be used legally or illegally and the electricity may be supplied to the household either through public agencies, corporations or by private suppliers. However, if the household makes its own arrangement, either through generator or solar panel, to generate electricity, the household will not be considered as having electricity for domestic use. 153518 0 1 Yes 117194 2 No 36324 Type of electric wiring If code = 1 in Q.10 ask this question If code 1 in item 10, type of electric wiring. Skip otherwise If the sample household has electricity for domestic use, type of electric wiring available in the dwelling unit will be indicated here. 117194 0 1 34572 2 Fixed to the walls 49358 3 33264 Multiplier Sub-sample-wise 153518 0 0.93 200328.38 2926.179 4140.229 Same as in dataset of Block-1_2 Multiplier combined 153518 0 0.465 100164.19 1463.089 2070.114 Same as in dataset of Block-1_2 Sub-sample NS 153518 0 1 96 11.015 12.508 Same as in dataset of Block-1_2 153518 0 3 192 22.027 25.015 Same as in dataset of Block-1_2 SS multiplier posted 153518 0 93 20032838 292617.887 414022.89 Same as in dataset of Block-1_2 Key to locate Hhold Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 Record_Identifier Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 05 Block - 5 of schedule 153461 Round Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 65 NSS 65 Round 153461 Schedule Number Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 120 Schedule 1.2 153461 Sample Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 1 Central sample 153293 2 State sample 168 Sub-Round Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 1 Sub-round-1 38238 2 Sub-round-2 38432 3 Sub-round-3 38428 4 Sub-round-4 38363 Sub-Sample Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 1 Sub-sample-1 76686 2 Sub-sample-2 76775 Sector Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 1 Rural 97107 2 Urban 56354 State Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 01 Jammu & Kashmir 2264 02 Himachal Pradesh 2271 03 Punjab 3422 04 Chandigarh 548 05 Uttaranchal 1343 06 Haryana 2878 07 Delhi 3361 08 Rajasthan 6670 09 Uttar Pradesh 18734 10 Bihar 6649 11 Sikkim 1292 12 Arunachal Pradesh 1692 13 Nagaland 1332 14 Manipur 3455 15 Mizoram 1908 16 Tripura 3456 17 Meghalaya 2099 18 Assam 5552 19 West Bengal 12063 20 Jharkhand 3248 21 Orissa 5831 22 Chhattisgarh 2554 23 Madhya Pradesh 8390 24 Gujrat 6269 25 Daman & Diu 384 26 Dadra & Nagar Haveli 384 27 Maharastra 12350 28 Andhra Pardesh 9096 29 Karnataka 6504 30 Goa 479 31 Lakshadweep 190 32 Kerala 6190 33 Tamil Nadu 9487 34 Pondicheri 672 35 Andaman & Nicober 444 Region Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 1 Region-1 56869 2 Region-2 38041 3 Region-3 25821 4 Region-4 16220 5 Region-5 14398 6 Region-6 2112 FOD Sub-Region Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 District Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 Stratum Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 Sub-Stratum(urban only) Same as in dataset of Block-1_2 56343 0 Same as in dataset of Block-1_2 FSU Serial number Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 hg/ sb Number Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 Second Stage Stratum no. Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 Household No. Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 Plinth area(Sq. ft.) Plinth area of the house (in square feet and in whole numbers) Plinth area is the total constructed area of the surface on the ground over which the structure is created. The plinth area will be recorded against this item in square feet and in whole numbers. In case more than one structure is used by the household, total plinth area of all the structures taken together will be recorded. In case of a multi-storeyed building, plinth area will refer to the surface on the ground over which the structure is created. 153461 0 1 400000 686.775 1445.443 Plinth level (ft.) Plinth level (in feet and in whole numbers) 152645 816 0 51393 1 56673 2 32062 3 9413 4 2197 5 787 6 112 7 8 Sysmiss 816 Use of house The purpose for which the house is used will be entered against this item.If the house is used exclusively for residential purpose, code 1 will be applicable. If the house is used for residential purposes as well as for carrying out economic activities, like, production of goods, production of services or trading of goods, etc., code 2 will be entered. In all other cases, such as when the house is used for residential purpose and for some non-economic activities, code 9 will be applicable. 153414 0 1 141392 2 Residential-cum-commercial 8836 9 3186 Period since built If codes 1 or 2 in item 11 of block 3 (i.e., for the household with own dwelling), period since built: Skip this question otherwise Information on the 'period since built' will be collected only from the sample households with own dwelling, i.e., if entry in item 11 of block 3 is either 1 or 2. Period since built will be counted from the time the dwelling unit was ready for possession for the first time after completion of the building and this information will be entered in terms of codes. Note that period since built is to be decided in respect of the ground floor of the building when the different stories were built at different times. 129089 0 1 1681 2 10987 3 5 years or more but less than 10 years 41790 4 10 years or more but less than 20 years 41702 5 20 years or more but less than 40 years 21925 6 40 years or more but less than 60 years 7376 7 60 years or more but less than 80 years 2313 8 1315 Year of start If code 1 or 2 in item 4, year of start of dwelling unit Skip this question otherwise For dwelling units which were built during the last 5 years (i.e., for dwelling units with code 1 or 2 in item 4), information on 'year of start' and 'year of completion' will be collected, in items 5 and 6 respectively. Four cells have been provided against each of the items 5 and 6 for recording four digits of the 'year of start' and 'year of completion' respectively, with one digit in each cell. The 'year of start' will correspond to the period during which the plinth work of the building started and 'year of completion' will relate to the year during which the dwelling unit was ready for possession. For example, if the plinth work of the dwelling unit started in 2006 and the dwelling unit was ready for possession in 2007, the entry in respect of item 5 will be '2006' and in respect of item 6, the entry will be '2007 12493 140968 1985 2009 2005.688 1.54 Year of completion Skip this question otherwise see Q.5 for details 12494 140967 2003 83 2004 1447 2005 2294 2006 3270 2007 2924 2008 2224 2009 252 Sysmiss 140967 Condition of structure Condition of structure 153430 0 1 53081 2 Satisfactory 71263 3 29086 Drainage arrangement Drainage arrangement: A system for carrying off waste water and liquid waste of the house will be considered as drainage system. Information on the drainage system available to the house will be recorded against this item in codes.It may be noted that if no system exists to carry off the waste water of the house, but water flows down by its own gravity, in an unregulated manner, it will be considered as no drainage, and code 5 will be entered. In other cases, depending upon the drainage system available appropriate code will be given. 153449 0 1 17174 2 Covered pucca 9675 3 33368 4 25787 5 67445 Garbage collection Garbage collection arrangement Garbage collection arrangement means the arrangement which usually exist to carry away the refuse and waste of households to some dumping place away from the residential areas. In some places, the public bodies collect the garbage from the premises of the household or from some fixed points in the locality where the residents put their garbage; in others, a body of residents themselves make the arrangement of carrying the garbage to the final dumping place away from residential areas without participation of any public body. In the first situation, code 1 will be recorded and code 2 in the second situation. Information on the arrangement prevailing for the colony / locality of the dwelling unit will be obtained and entered in codes. 153423 0 1 34630 2 27440 3 87320 9 4033 Animal shed Animal shed 153442 0 1 12197 2 Detached from the building 39411 3 101834 Flood during last 5 years Whether experienced any flood during last 5 years?: If rain water during monsoon and / or water from sea, river, etc., enters into the ground floor of the house, or though water did not enter the house but the house was surrounded by water for some days then the house is said to have experienced flood. 153408 0 1 Yes from excessive rain 13117 2 8074 3 132217 Approach road Approach road / lane / constructed path 153416 0 1 Direct opening to motorable road/lane/constructed path with street light 41174 2 24946 3 14261 4 50296 5 22739 Multiplier Sub-sample-wise 153461 0 0.93 200328.38 2926.607 4140.262 Same as in dataset of Block-1_2 Multiplier Combined 0 153461 Sysmiss 153461 Same as in dataset of Block-1_2 Sub-sample NS 153461 0 1 96 11.014 12.508 Same as in dataset of Block-1_2 153461 0 3 192 22.025 25.016 Same as in dataset of Block-1_2 SS multiplier posted 153461 0 93 20032838 292660.719 414026.229 Same as in dataset of Block-1_2 Key to locate hhold Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 Record_Identifier Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 06 Block - 6 of schedule 153461 Round Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 65 NSS 65 Round 153461 Schedule Number Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 120 Schedule 1.2 153461 Sample Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 1 Central sample 153293 2 State sample 168 Sub-Round Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 1 Sub-round-1 38238 2 Sub-round-2 38432 3 Sub-round-3 38428 4 Sub-round-4 38363 Sub-Sample Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 1 Sub-sample-1 76686 2 Sub-sample-2 76775 Sector Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 1 Rural 97107 2 Urban 56354 State Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 01 Jammu & Kashmir 2264 02 Himachal Pradesh 2271 03 Punjab 3422 04 Chandigarh 548 05 Uttaranchal 1343 06 Haryana 2878 07 Delhi 3361 08 Rajasthan 6670 09 Uttar Pradesh 18734 10 Bihar 6649 11 Sikkim 1292 12 Arunachal Pradesh 1692 13 Nagaland 1332 14 Manipur 3455 15 Mizoram 1908 16 Tripura 3456 17 Meghalaya 2099 18 Assam 5552 19 West Bengal 12063 20 Jharkhand 3248 21 Orissa 5831 22 Chhattisgarh 2554 23 Madhya Pradesh 8390 24 Gujrat 6269 25 Daman & Diu 384 26 Dadra & Nagar Haveli 384 27 Maharastra 12350 28 Andhra Pardesh 9096 29 Karnataka 6504 30 Goa 479 31 Lakshadweep 190 32 Kerala 6190 33 Tamil Nadu 9487 34 Pondicheri 672 35 Andaman & Nicober 444 Region Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 1 Region-1 56869 2 Region-2 38041 3 Region-3 25821 4 Region-4 16220 5 Region-5 14398 6 Region-6 2112 FOD Sub-Region Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 District Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 Stratum Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 Sub-Stratum(urban only) Same as in dataset of Block-1_2 56343 0 Same as in dataset of Block-1_2 FSU Serial number Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 hg/ sb Number Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 Second Stage Stratum no. Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 Household No. Same as in dataset of Block-1_2 153461 0 Same as in dataset of Block-1_2 Type of dwelling Type of dwelling 153244 0 1 Independent house 116271 2 13589 9 23384 No. of living rooms Number of living rooms in the dwelling 152556 905 0 29 2.047 1.202 No. of other rooms Number of other rooms in the dwelling 110671 42790 0 30 1.691 0.998 Floor area of the living room (sq. ft.) Floor area of the living room (in square feet and in whole numbers) 152498 963 0 8700 287.551 216.439 Floor area of other rooms (sq. ft.) Floor area of the covered veranda (in square feet and in whole numbers) 107452 46009 0 3100 130.861 110.388 Floor area of covered veranda (sq. ft.) Floor area of the covered veranda (in square feet and in whole numbers) 47408 106053 0 5000 99.937 97.963 Floor area of uncovered veranda (sq. ft.) Floor area of the uncovered veranda (in square feet and in whole numbers) 58517 94944 0 5000 100.387 115.355 Total floor area (Sq. ft. in whole no.) Total floor area of the dwelling (in square feet and in whole numbers) 153461 0 7 14300 446.527 336.276 Ventilation Ventilation of the dwelling unit 153406 0 1 43947 2 Satisfactory 70220 3 39239 No. of married couples Total number of married couples in the household: For the purpose of this survey, 'married couple' will mean the couples either formed through marriage or through the system of live-together as reported by the informant. Total number of married couples in the household irrespective of their ages is to be recorded in this item. When both the husband and the wife (i.e., the male and female partners) are the household members, they should be considered for counting the number of married couples. If one of them is a household member and the other is not a household member, it should not be counted as a married couple. A man with two wives in a household will constitute two married couples. But one woman with two husbands in a household will form a single couple. If there is no married couple in the household entry will be '0'. 142286 11175 0 10294 1 110055 2 18015 3 3203 4 569 5 113 6 23 7 5 8 6 9 2 10 1 Sysmiss 11175 Whether separate room available? Whether a separate room is available to each married couple? 153461 0 1 97322 2 34670 9 Not applicable 21469 Couples without separate room If code 2 in item 11, number of married couples not getting a separate room If code 2 in item 11, number of married couples not getting a separate room is to be recorded against this item. If entry is either 1 or 9 in item 11, a dash (-) may be entered in this item. 35119 118342 0 449 1 31535 2 2729 3 343 4 57 5 6 Sysmiss 118342 Kitchen type 153433 0 1 19521 2 separate kitchen without water tap 60716 3 73196 Floor type Floor type 153449 0 1 61864 2 1410 3 3160 4 Brick/limestone/stone 14228 5 60075 6 12389 9 323 Wall type See Q.14 for details 153457 0 1 13627 2 Mud (with/without bamboo)/unburnt brick 35976 3 370 4 1539 5 1591 6 80507 7 1495 8 17075 9 1277 Roof type Roof type See Q.14 for details 153445 0 1 25304 2 3751 3 931 4 2933 5 25801 6 14812 7 Iron / zinc / other metal sheet /asbestos sheet 31479 8 46764 9 1670 Monthly rent (Rs.) Monthly rent (Rs.) (payable approach) 20070 133391 0 30000 992.515 1266.501 Multiplier sub-sample-wise 153461 0 0.93 200328.38 2926.607 4140.262 Same as in dataset of Block-1_2 Multiplier Combined 153461 0 0.465 100164.19 1463.304 2070.131 Same as in dataset of Block-1_2 Sub-sample NS 153461 0 1 96 11.014 12.508 Same as in dataset of Block-1_2 153461 0 3 192 22.025 25.016 Same as in dataset of Block-1_2 SS multiplier posted 153461 0 93 20032838 292660.719 414026.229 Same as in dataset of Block-1_2 Key to locate construction no 15282 0 Key to locate household Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 Record_Identifier Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 07 15282 Round Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 65 NSS 65 Round 15282 Schedule Number Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 120 Schedule 1.2 15282 Sample Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 1 Central sample 15254 2 State sample 28 Sub-Round Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 1 Sub-round-1 4986 2 Sub-round-2 3886 3 Sub-round-3 3391 4 Sub-round-4 3019 Sub-Sample Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 1 Sub-sample-1 7640 2 Sub-sample-2 7642 Sector Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 1 Rural 12452 2 Urban 2830 State Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 01 Jammu & Kashmir 123 02 Himachal Pradesh 278 03 Punjab 166 04 Chandigarh 5 05 Uttaranchal 100 06 Haryana 156 07 Delhi 17 08 Rajasthan 373 09 Uttar Pradesh 2081 10 Bihar 1015 11 Sikkim 96 12 Arunachal Pradesh 215 13 Nagaland 69 14 Manipur 125 15 Mizoram 134 16 Tripura 260 17 Meghalaya 392 18 Assam 1073 19 West Bengal 2430 20 Jharkhand 458 21 Orissa 280 22 Chhattisgarh 351 23 Madhya Pradesh 480 24 Gujrat 465 25 Daman & Diu 20 26 Dadra & Nagar Haveli 29 27 Maharastra 969 28 Andhra Pardesh 1078 29 Karnataka 301 30 Goa 8 31 Lakshadweep 28 32 Kerala 1126 33 Tamil Nadu 506 34 Pondicheri 40 35 Andaman & Nicober 35 Region Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 1 Region-1 5066 2 Region-2 4631 3 Region-3 2331 4 Region-4 1375 5 Region-5 1617 6 Region-6 262 FOD Sub-Region Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 District Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 Stratum Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 Sub-Stratum(urban only) Same as in dataset of Block-1-2 2830 0 Same as in dataset of Block-1-2 FSU Serial number Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 hg/ sb Number Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 Second Stage Stratum no. Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 Household No. Same as in dataset of Block-1-2 15282 0 Same as in dataset of Block-1-2 Srl. no. of construction Srl. no. of constructions Six serial numbers, to record details of six constructions in the two sheets of Block 7, are already printed. Each column relates to one construction and information in items 4 to 27 is to be collected separately for each construction. While recording the constructions, all the constructions undertaken 'at the present premises' will be listed first, followed by those undertaken at 'elsewhere'. If a sample household undertook more than six constructions, additional sheet (second sheet) of Block 7 may be attached and continuous serial number, starting from 7 may be given against item 3 (srl. no. of constructions). 15282 0 01 14991 02 267 03 22 04 2 No. of constructions undertaken Number of constructions undertaken during last 365 days The number of constructions undertaken by the sample household for residential purposes during the last 365 days is to be entered against this item. This will include the constructions which started earlier, but the activity continued during the last 365 days, as well as the constructions initiated during the last 365 days (whether completed or not). 15282 0 1 14724 2 490 3 60 4 8 No. of constructions completed Number of constructions completed during the last 365 days In column 3, the total number of constructions completed by the sample household during the last 365 days will be entered. A new construction will be considered as 'completed' if it is considered by its owner as completed and ready for its first occupation. Issuing of 'completion certificate' from any authority will not be a pre-requisite for the building to be considered as 'completed'. In the case of addition, alteration and improvement, a construction will be considered as 'completed' if the owner feels so. 15175 107 0 1754 1 13091 2 269 3 57 4 4 Sysmiss 107 Place of constructions Place of construction The place where the sample household has undertaken the constructions during the last 365 days may be reported for each construction. If the construction is undertaken at the 'present premises' where the household is residing, code 1 will be entered and if the construction is undertaken at 'elsewhere', code 2 will be entered.. 15205 0 1 At same premises 14533 2 Elsewhere 672 Type of construction Type of construction 15266 0 1 3077 2 2349 3 Alteration/improvement/major repair 9840 Whether construction is complete Whether construction is complete as on the date of survey? If the construction is 'complete' on the date of survey, code 1 will be recorded, otherwise code 2 will be recorded. 15240 0 1 13317 2 1923 Type of structure Type of structure Skip this otherwise The type of structure, i.e., whether the structure constructed is pucca, semi-pucca or katcha will be recorded against this item in terms of codes for each completed construction. If a building consists of different types of structure, the determination of its type will be based on the type of structure that covers major floor area 13222 0 1 5279 2 Semi-pucca 3211 3 4732 Floor area (Sq. ft. in whole no.) Floor area ((in sq. ft. and in whole numbers) Skip this otherwise 4022 11260 0 7200 297.328 323.349 No. of dwelling units No. of dwelling units Skip this otherwise The number of dwelling units in the new building or the number of dwelling units in which additional floor space has been constructed will be recorded against this item in the relevant column(s). Sometimes, it may be difficult to arrive at the number of dwelling units, especially in the case of new buildings which are not yet occupied by the households. In such situations, the number of dwelling units for which provision has been made in the building, as adjudged and reported by the informant, will be recorded in this item. 4015 11267 1 3796 2 151 3 45 4 16 5 7 Sysmiss 11267 total cost of construction (Rs.) Total cost of construction (Rs.) 15282 0 50 3000000 38102.536 121155.908 Finance own labour/ material (Rs.) Amount (Rs.) financed for construction from source:labour/ material 9401 0 0 27 100 436 1000 641 10000 231 100000 20 1000000 2 1025 1 1040 1 1050 5 10500 4 1060 2 10800 1 1085 1 10950 1 110 3 1100 23 11000 9 110000 1 1140 1 114000 1 1150 7 11500 2 1180 2 120 42 1200 157 12000 45 120000 3 1215 1 12300 1 12400 2 125 8 1250 9 12500 6 125000 3 1256 1 1260 1 12600 2 12780 1 130 7 1300 27 13000 13 135 2 1350 2 13500 2 13600 1 13650 1 1380 2 13800 2 1390 1 13900 1 140 30 1400 28 14000 14 140000 1 1450 3 14500 5 14600 2 14800 1 15 1 150 175 1500 290 15000 107 150000 4 15200 3 1550 1 15500 1 15550 1 15800 1 15950 1 160 23 1600 37 16000 12 160000 3 1620 1 1630 1 1635 1 1650 9 16500 2 16875 1 170 2 1700 12 17000 4 175 3 1750 2 1760 1 1785 1 1790 1 180 13 1800 83 18000 19 180000 1 1800000 1 182 1 1820 1 1850 8 18500 2 18540 1 1870 1 1900 7 19000 2 1920 1 19300 1 195 1 1950 4 19600 1 19650 1 20 3 200 827 2000 515 20000 109 200000 3 2050 2 20500 1 2060 1 210 8 2100 15 21000 1 210000 2 2120 1 2150 4 215000 1 220 5 2200 32 22000 4 2240 1 225 4 2250 3 22500 1 230 3 2300 13 23000 1 2320 1 2325 1 2330 1 2340 1 235 1 23800 1 240 35 2400 22 24000 2 245 1 2450 2 250 138 2500 138 25000 41 25500 1 2560 1 260 8 2600 11 26000 3 2630 1 26400 1 2650 2 270 2 2700 9 27000 2 2750 5 27500 1 280 10 2800 28 28000 3 2850 5 28600 1 2880 1 290 2 2950 1 30 7 300 612 3000 298 30000 54 3050 1 3100 3 3150 2 31500 1 3180 1 320 11 3200 15 325 2 3250 2 3300 2 33000 1 340 2 3400 1 34000 3 344 1 3450 1 350 81 3500 65 35000 12 350000 1 355 2 358 1 360 16 3600 15 36000 3 3650 1 36500 1 370 2 3700 2 372000 1 375 1 3750 2 3760 1 380 4 3800 11 38000 2 38300 1 3850 3 390 1 3900 2 39100 1 40 8 400 391 4000 143 40000 28 410 2 4100 3 41000 1 420 7 4200 9 42000 2 423 1 425 1 4250 1 427 1 430 1 4300 1 432 1 440 1 4450 2 450 63 4500 31 45000 6 460 2 4600 2 465 1 468 1 470 1 4750 1 480 9 4800 6 48000 1 48500 1 490 3 50 70 500 752 5000 367 50000 44 500000 3 5120 1 5150 1 520 4 5200 2 522 2 523 5 525 2 526 1 527 2 530 5 5300 2 53000 2 532 2 5325 1 534 1 5350 1 5375 1 540 2 5400 2 545 1 55 1 550 16 5500 11 55000 7 560 2 5600 2 5625 1 5640 1 565 1 570 3 5700 1 57000 1 580 1 5800 1 5900 1 59350 1 60 25 600 274 6000 149 60000 8 610 1 6100 1 620 2 6200 4 622 1 623 1 6250 1 62500 2 625000 1 630 2 6300 1 63000 1 633 1 634 1 640 3 6400 1 65 1 650 32 6500 17 65000 5 655 2 660 3 670 2 6750 1 67500 1 680 4 70 21 700 126 7000 46 70000 9 700000 1 710 1 71220 1 720 3 7200 2 723 2 724 1 725 1 72500 1 7300 1 73000 1 740 4 7400 1 75 10 750 38 7500 8 75000 2 7550 1 7565 1 7600 2 773 1 775 1 780 3 7800 1 80 30 800 217 8000 86 80000 3 810 2 8164 1 820 2 8200 1 823 1 825 2 830 1 8300 1 836 1 840 3 850 17 8500 13 85000 2 860 2 870 1 8700 1 880 2 8800 1 890 1 90 7 900 50 9000 28 90000 4 9100 1 920 1 9260 1 932 1 950 9 9500 4 95000 1 9550 1 960 5 9600 1 9620 1 970 1 980 1 9800 2 Finance from own source (Rs.) Amount (Rs.) financed for construction from source:own source Deatils given in Q.11 13351 1931 0 2600000 23653.251 83785.758 Ggovernment (Rs.) Amount (Rs.) financed for construction from Insttutional agencies: government Deatils given in Q.11 1089 14193 0 1200000 31285.387 61740.344 Commercial bank (Rs.) Amount (Rs.) financed for construction from Insttutional agencies:commercial bank Deatils given in Q.11 799 14483 0 1600000 107595.025 187933.624 Iinsurance (Rs.) Amount (Rs.) financed for construction from Insttutional agencies: insurance Deatils given in Q.11 24 15258 0 1 2000 2 4000 3 5000 3 10000 1 15000 2 20000 2 25000 1 35000 1 40000 4 55000 1 100000 2 200000 1 Sysmiss 15258 Provident fund (Rs.) Amount (Rs.) financed for construction from Insttutional agencies: provident fund Deatils given in Q.11 113 15169 0 1000000 84547.168 115476.241 Financial corp. (Rs.) Deatils given in Q.11 59 15223 0 800000 66951.695 146148.598 Other institutional agencies (Rs.) Amount (Rs.) financed for construction from Other institutional agencies Deatils given in Q.11 195 15087 0 200000 18975.385 26096.469 Money lender (Rs.) Amount (Rs.) financed for construction from source:Money lender Deatils given in Q.11 1800 13482 0 800000 20505.691 38806.215 Friends & relatives (Rs.) Amount (Rs.) financed for construction from source:Friends & relatives Deatils given in Q.11 2629 12653 0 600000 15563.418 34263.191 Other non-institutional agencies (Rs.) Amount (Rs.) financed for construction from source:Other non-institutional agencies (Rs.) Deatils given in Q.11 372 14910 0 490000 15290.145 36127.009 Sum of the entries in Qs.11 to 21 is to be entered. Note that this should match with the entry made against item 10 separately for each construction. 15282 0 50 3000000 38102.536 121155.908 Cost of material- pucca (Rs.) Cost of construction during last 365 days (Rs):-material- pucca It may be noted that the cost of purchase or procurement of only that part of the total materials, labour (household labour will be evaluated at the wage rate prevailing at the time of construction) and services hired (i.e., expenditure incurred including payment due on account of professional and personal services, municipal and other taxes and fees, etc. for construction) which have actually been utilised in the construction during the last 365 days will be considered for making entries in these items. As such there must be positive entry in at least one of the items 23 to 26 for each of the constructions undertaken during the last 365 days. The total of the expenditure, recorded in items 23 to 26 will be recorded against item 27. Household labour and material supplied from own source and materials received as gifts will also be included in the respective items. Expenditure relating to the material and labour purchased, hired or procured but not used in the construction during the last 365 days will not be taken into account for filling in this item. It may be noted that, service charges, i.e., expenditure incurred (including payments due) on account of professional and personal services, municipal and other taxes and fees if any for construction, rental and hire charges of equipment used for construction will be included with 'others'. 9542 5740 0 2225000 37751.207 96931.502 Cost of material -others (Rs.) Cost of construction during last 365 days (Rs):-material -others See Q.23 11368 3914 0 530000 4147.514 14010.628 Labour (Rs.) Cost of construction during last 365 days (Rs):-Labour See Q.23 14726 556 0 950000 8566.905 29673.917 Cost of construction during last 365 days (Rs):-others (service charges, etc.) See Q.23 5186 10096 0 400000 2869.938 10677.135 Total (items 23 to 26) (Rs.) Cost of construction during last 365 days (Rs):- 15178 104 50 3000000 36131.947 112595.886 No. of residential units acquired Number of residential unit acquired during last 365 days In this item, the total number of residential unit (s), the sample household has acquired during the last 365 days will be entered. If the household has not acquired any residential unit during the last 365 days, zero (0) may be entered in this item. 5182 10100 0 5087 1 92 2 3 Sysmiss 10100 Total floor area (Sq. ft.) If entry > 0 in item 28, total floor area (in square feet and in whole numbers) 99 15183 0 2257 594.606 471.689 Total expenditure incurred (Rs.) If the sample household did not carry out the construction itself but acquired the residential units during the last 365 days, total expenditure for that residential unit will be considered here. It may be noted that only the first-hand purchase of the residential units are to be considered. If the cost of the land is paid separately, then the amount paid for the land will not be considered for recording the total expenditure. But if it cannot be separated, the total would include the cost of the land. It may be noted that, if some amount is due to be paid but the residential unit has been acquired during the last 365 days, the amount paid and the amount payable will be added up and entered in this item. If the sample household acquired residential units by ways other than purchase during the reference period, say acquired free from non-household entities, the market value of the residential unit will be considered for making entry in item 30. 101 15181 0 2575000 483540.446 620916.545 Multiplier Sub-sample-wise 15282 0 2.15 200328.38 2900.666 4064.886 Same as in dataset of Block-1-2 Multiplier combined 15282 0 1.075 100164.19 1450.333 2032.443 Same as in dataset of Block-1-2 Sub-sample NS 15282 0 1 96 10.534 7.301 Same as in dataset of Block-1-2 15282 0 3 192 21.064 14.602 Same as in dataset of Block-1-2 SS multiplier posted 15282 0 215 20032838 290066.645 406488.624 Same as in dataset of Block-1-2