NSSO_58_Schedule_1.2_Housing Condition DDI-IND-MOSPI-NSSO-58Rnd-Sch1dot2-2002

M.R.BALAKRISHNAN

Computer Centre 2012-05-02 Nesstar Publisher Version 1.0 (May 2012) Housing Condition Survey: NSS 58th Round, Schedule 1.2, July - December 2002 DDI-IND-MOSPI-NSSO-58Rnd-Sch1dot2-2002 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 58th Round July - December 2002 The National Sample Survey Organisation (NSSO) conducted an integrated survey encompassing various aspects of the socio-economic scenario during July to December 2002. The survey, among others, included the housing condition of all segments of population. Information on the available condition of the structure where the household stays, the amenities available in their houses and details of construction work undertaken by households, were collected in the current survey through household enquiry. India The survey covered whole of the Indian Union except (i) Leh and Kargil districts of Jammu & Kashmir, (ii) villages situated beyond 5 kms. of bus route in the state of Nagaland, and (iii) inaccessible villages of Andaman and Nicobar Islands. Thus the corresponding State/UT level estimates and the all-India results presented in this report are based on the areas falling under the coverage of the survey. Randomly selected households based on sampling procedure and members of the household 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 sampling design was adopted for selection of the ultimate sample units. The first-stage units (FSUs) for the survey were villages (panchayat wards in Kerala) in the rural areas and the Urban Frame Survey (UFS) blocks in urban areas. If an FSU was quite large, it was divided into smaller areas of equal population, called hamlet-groups, and two hamlet-groups were selected at random and merged, demarcating the area to be used for selection of the households - the ultimate stage units. The households were selected at random from the entire FSU, if the FSU was not large, or from the selected hamlet-groups for larger FSUs. A detailed discussion on the sample design and estimation procedure followed in the survey is given as an ATTACHMENT in external resources. There was no deviation from the original sample deviation. Face-to-face [f2f] 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. Block3-records.NSDstat This dataset of block-3 contains certain characteristics pertaining to the household including number of individuals who moved into or out of the household. 97882 44 Nesstar 200801 NSSO Block4-records.NSDstat 97882 47 Nesstar 200801 NSSO Block5-records.NSDstat Information relating to the house in which the sample household lives and particulars relating to the environment around the house are the content of this dataset,collected through block-5. However, if the residential house is located in a building then relevant particulars for the building are recorded. 97882 31 Nesstar 200801 NSSO Block6-records.NSDstat 97882 43 Nesstar 200801 NSSO Block7-records.NSDstat 40258 46 Nesstar 200801 NSSO Block8-records.NSDstat This dataset contain information regarding the dwelling unit / land owned by the sample household at places other than the one in which the household is presently residing. 97882 28 Nesstar 200801 NSSO Block9-records.NSDstat 5818 28 Nesstar 200801 NSSO For Urban Sector only Key to locate Hhold No 97882 0 Generated KEY variable using the variables -State,Region,Stratum,Sub-stratum,FSU,Segment,stage2stratum and Hholdno. Round-Schedule 97882 0 Indicates Round no of NSS survey(first 2 digit) and schedule number (next 2 digits) 5812 NSS Round-58 Schedule-1.2 97882 Record ID(Indicates Block number) 97882 0 03 Block-3 of schedule 97882 Sector code 97882 0 State/UT level sample was allocated between two sectors(Rural,Urban) in proportion to provisional population as per Census 2001 with double weightage to urban sector. 1 Rural 55966 2 Urban 41916 Sub-round Sub-Round 97882 0 1 Sub-round-1 48891 2 Sub-round-2 48991 Sub-sample Sub-sample 97882 0 The sample villages have been selected with probability proportional to population with replacement and the sample blocks by simple random sampling without replacement. Selection was done in both the sectors in the form of two independent sub-samples(sub-sample-1 &2). 1 Sub-sample-1 49022 2 Sub-sample-2 48860 State State code 97882 0 01 JAMMU & KASHMIR 2014 02 HIMACHAL PRADESH 1439 03 PUNJAB 2452 04 CHANDIGARH 336 05 UTTARANCHAL 943 06 HARYANA 1710 07 DELHI 1781 08 RAJASTHAN 4371 09 UTTAR PRADESH 10753 10 BIHAR 5345 11 SIKKIM 863 12 ARUNACHAL PRADESH 1248 13 NAGALAND 756 14 MANIPUR 1802 15 MIZORAM 1344 16 TRIPURA 1728 17 MEGHALAYA 1152 18 ASSAM 3512 19 WEST BENGAL 7823 20 JHARKHAND 2459 21 ORISSA 3079 22 CHHATISGARH 1480 23 MADHYA PRADESH 5064 24 GUJARAT 3045 25 DAMAN & DIU 288 26 DADRA & NAGAR HAVELI 288 27 MAHARASHTRA 8512 28 ANDHRA PRADESH 6328 29 KARNATAKA 4349 30 GOA 191 31 LAKSHADWEEP 192 32 KERALA 3227 33 TAMILNADU 6974 34 PONDICHERRY 624 35 ANDAMAN & NICOBAR IS. 410 Region Region code 97882 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 as an attachment in external resourcesl 1 Region-1 44860 2 Region-2 22589 3 Region-3 17780 4 Region-4 8924 5 Region-5 2566 6 Region-6 1163 7 Region-7 0 District District code 97882 0 Stratum Stratum no 97882 0 Sub-stratum Sub-stratum no 97882 0 Village/block number Village/block number (First Stage Unit) 97882 0 Segment Segment no. 97882 0 Second stage stratum 97882 0 Household No Sample Household No 97882 0 Informant’s code informant's relation to head In this item information about the informant from whom the data are being collected will be recorded.Code 9 will be applicable only in case the selected household is a resident of a 'residential institution for the disabled persons' and the information is provided by the owner / official of the institution. 97870 0 1 Head oh Household 65468 2 Other member of Hhold 30785 8 Invalid 17 9 Others 1599 1 Response code Response code This item is to be filled-in after canvassing the schedule. The type of informant, considering his co-operation and capability in providing the required information, will be recorded against this item in terms of specified response codes. 97868 0 1 80593 2 Co-operative but not capable 15458 3 970 4 722 9 125 Survey code Survey code 97882 0 1 Original hhold surveyed 96229 2 Substitute hhold surveyed 1653 3 Causality` 0 Reason-substitution Reason for first substitution of original household For an originally selected sample household which could not be surveyed, irrespective of whether a substituted household could be surveyed or not, the reason for not surveying the original household will be recorded against item 19 in terms of the specified codes. 1654 0 1 84 2 1356 3 Informant non co-operative 128 9 86 Survey date 97881 0 010103 24 010702 13 010802 104 010902 19 011002 10 011102 103 011202 79 020103 50 020802 184 020902 53 021002 40 021102 94 021202 137 030103 48 030702 5 030802 213 030902 158 031002 180 031102 91 031202 207 040103 12 040702 30 040802 317 040902 383 041002 324 041102 74 041202 587 050103 10 050702 81 050802 510 050902 575 051002 469 051102 232 051202 837 060103 20 060702 86 060802 556 060902 803 061002 430 061102 282 061202 817 070103 13 070202 1 070702 117 070802 802 070902 570 071002 641 071102 382 071202 680 080103 20 080702 162 080802 1020 080902 391 081002 739 081102 548 081202 470 090103 45 090402 3 090502 5 090702 185 090801 1 090802 966 090902 586 091002 836 091102 525 091202 640 100103 18 100702 297 100802 595 100902 402 101002 964 101102 412 101202 646 110103 3 110602 12 110702 504 110802 501 110902 605 111002 845 111102 686 111202 768 120103 1 120202 1 120701 1 120702 588 120802 763 120902 712 121002 527 121102 656 121202 954 130103 1 130202 4 130602 1 130702 442 130802 769 130902 869 131002 346 131102 731 131202 994 140103 9 140202 4 140402 1 140702 332 140802 847 140902 591 141002 241 141102 961 141202 899 150103 12 150202 3 150702 386 150802 141 150902 337 151002 135 151102 960 151202 595 160103 7 160202 1 160702 395 160801 1 160802 839 160902 506 161002 290 161102 620 161202 634 170103 12 170701 1 170702 513 170802 594 170902 476 171002 459 171102 419 171202 399 180103 1 180602 1 180702 620 180802 442 180902 646 181002 746 181102 624 181202 245 190102 1 190103 6 190402 1 190702 733 190802 734 190902 878 191002 645 191102 493 191202 313 200103 6 200702 587 200802 818 200902 875 201002 486 201102 745 201202 307 210103 1 210202 1 210702 385 210802 864 210902 716 211002 696 211102 977 211202 235 220103 6 220702 493 220802 829 220902 515 221002 646 221102 967 221202 136 230103 12 230302 1 230701 2 230702 451 230802 821 230902 442 231002 781 231102 667 231202 191 240103 6 240502 1 240701 4 240702 532 240802 534 240902 405 241002 820 241102 458 241202 227 250202 1 250702 777 250802 362 250902 728 251002 796 251102 630 251202 220 260702 939 260802 651 260902 878 261002 526 261102 726 261202 424 270103 25 270202 1 270702 640 270802 917 270902 842 271002 527 271102 1067 271202 457 280103 12 280702 448 280802 1079 280902 656 281002 823 281102 1124 281202 463 290702 765 290802 966 290902 449 291002 936 291102 712 291202 370 300702 566 300802 630 300902 320 301002 905 301102 383 301202 480 310103 1 310702 207 310802 257 311002 371 311202 215 1508 1 Time taken to canvas 97700 0 0 3 000 1 005 2 008 4 010 6 012 1 015 9 02 1 020 67 022 1 023 1 024 1 025 89 026 3 027 4 028 2 029 1 030 1005 032 2 034 2 035 972 036 5 037 4 038 26 039 1 040 2457 041 2 042 37 043 10 044 4 045 2352 046 30 047 16 048 60 049 6 050 3629 051 7 052 33 053 8 054 16 055 1422 056 21 057 6 058 48 059 6 060 7143 061 12 062 46 063 9 064 4 065 2717 066 7 067 9 068 25 069 8 070 4732 071 12 072 24 073 12 074 6 075 3573 076 6 077 5 078 13 079 17 080 4538 081 8 082 13 083 4 084 12 085 2114 086 15 087 17 088 28 089 21 090 7954 091 10 092 43 093 8 094 14 095 2850 096 35 097 15 098 49 099 21 10 1 100 5796 101 12 102 73 103 34 104 25 105 2926 106 53 107 33 108 48 109 12 110 4620 111 8 112 58 113 6 114 12 115 2364 116 21 117 24 118 60 119 16 120 7558 121 24 122 55 123 12 124 14 125 2042 126 24 127 19 128 37 129 8 130 2134 131 14 132 34 133 11 134 1 135 1186 136 10 137 6 138 19 139 4 140 1579 141 5 142 22 143 4 144 3 145 649 146 8 147 1 148 16 149 4 150 1867 151 1 152 6 153 4 154 1 155 141 156 8 157 1 158 5 159 1 160 435 161 1 162 1 165 191 167 1 168 4 170 297 175 184 176 2 178 1 18 2 180 527 182 3 184 1 185 104 188 3 190 162 192 2 195 72 196 2 198 2 20 12 200 149 205 24 21 5 210 102 214 1 215 26 22 1 220 50 225 14 23 3 230 34 235 10 240 70 245 12 25 18 250 34 255 3 26 4 260 20 265 1 270 20 28 4 280 23 29 1 290 10 30 295 300 19 31 2 310 1 32 2 320 1 33 1 330 1 35 302 36 2 37 1 38 6 39 2 40 639 42 5 45 695 46 4 47 4 48 10 49 3 50 945 51 3 52 4 53 5 54 10 55 448 56 13 57 3 58 12 59 2 60 2116 600 12 61 5 62 14 63 1 64 8 65 897 66 3 67 3 68 14 69 2 70 1358 71 4 72 17 74 2 75 884 76 5 77 6 78 12 79 5 80 1028 81 3 82 14 83 2 84 1 85 460 86 2 87 5 88 7 89 5 90 1829 91 3 92 10 93 6 94 5 95 541 96 12 97 7 98 22 99 10 Male (household size) The total number of male members of the household will be recorded in items 1. 95793 2089 Female (household size) 94367 3515 0 58 2.511 1.52 Household size (total) The total number of total members of the household will be recorded in item 3, 97882 0 1 59 4.975 2.655 Gender of head Gender of the head of household 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. 97843 0 1 Male 87810 2 Female 10010 9 Invalid 23 Social group (code) Social group (code) Whether or not the household belongs to scheduled tribe (ST), scheduled caste (SC) or other backward class (OBC) will be indicated against this item in terms of the specified codes. Those who do not come under any one of the first three social groups will be assigned code 9. In case different members belong to different social groups, the group to which the head of the household belongs will be considered as the 'social group' of the household. 97882 0 0 NR 107 1 10963 2 18048 3 33803 9 34961 97541 341 0 200011.11 3.957 763.817 NIC code Principal industry (NIC 1998): The description of the principal household industry will be recorded in the space provided. The entry cell for item 2 has been split into 5 cells for recording each digit separately. The appropriate five-digit industry code of the NIC 1998 will be recorded here. For households deriving income from non-economic activities only, a dash (-) may be put against this item. 92028 0 NCO code Principal occupation (NCO 1968): The description of the principal household occupation will be recorded in the space provided. The appropriate three-digit occupation code of the NCO 1968 is to be recorded in the entry cell which has been trisected for recording each digit separately. For households deriving income from non-economic activities only, a dash (-) may be put against this item. 92033 0 MPCE(Rs) Average monthly consumer expenditure (Rs. in whole no.): 97499 383 0 60000 3064.601 2326.382 Distance place of work(km) Distance (in km) to the place of work normally travelled by the principal earner of the household: 96974 908 0 6000 4.927 40.816 Maximum distance(km) Maximum distance (in km) to the place of work normally travelled by any member of the household: The maximum distance (in kilometres and in whole numbers rounded to the nearest integer) to the place of work normally travelled by any member of the household during the last 365 days will be recorded here in whole numbers. The method of ascertaining the distance will be same as mentioned in item 10. If principal earner is the only person in the household to travel to the place of work, entry in item 11 will be same as in item 10. 95744 2138 Hh moved? whether the household moved to the village/town of enumeration during the last 365 days?: 97669 0 1 Yes 2433 2 No 95220 9 Invalid 16 Location of last residence If Q.12 =1 then Ask Location of last residence Skip this question, otherwise. 2446 0 0 NR 13 1 726 2 528 3 269 4 235 5 208 6 213 7 11 9 Invalid 243 Natutre of movement If Q.12 =1 then Ask Natutre of movement Skip this question, otherwise. 2158 0 0 NR 17 1 Temporary:seasonal 420 2 603 3 1117 9 Invalid 1 Reason for movement If Q.12 =1 then Ask Reason for movement Skip this question, otherwise. 2442 0 00 NR 124 01 497 02 233 03 To take up employment/better employment 249 04 230 05 90 06 310 07 117 08 241 10 78 11 21 99 252 Type of structure If Q.12 =1 then Ask Type of structure where household lived last: Skip this question, otherwise. 2166 0 0 NR 26 1 1109 2 618 3 353 4 Unserviceable katcha 49 5 10 9 1 Members moved into No. of members who moved into the household during last 365 days: 64241 33641 Members moved out No. of members who moved out of the household during last 365 days: 66100 31782 Multiplier Sub sample-wise 97882 0 1.5 297911.8 4195.648 5620.887 Generated Weight variable Multiplier Combined 97882 0 0.75 148955.9 2110.421 3023.265 Generated Weight variable nss (sub-sample-wise ns) 97882 0 1 57 8.151 9.157 Variables used for generating final multiplier nsc (sub-sample combined ns) 97882 0 1 114 16.296 18.316 Variables used for generating final multiplier Multiplier Posted 97882 0 150 29791180 419564.777 562088.72 Variables used for generating final multiplier Key to locate Hhold No 97882 0 Same as in dataset of Block-3 Round-Schedule Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 5812 NSS Round-58 Schedule-1.2 97882 Record ID(Indicates Block number) Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 04 Block-4 of schedule 97882 Sector code Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 1 Rural 55966 2 Urban 41916 Sub-round Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 1 Sub-round-1 48891 2 Sub-round-2 48991 Sub-sample Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 1 Sub-sample-1 49022 2 Sub-sample-2 48860 State Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 01 Jammu & Kashmir 2014 02 Himachal Pradesh 1439 03 Punjab 2452 04 Chandigarh 336 05 Uttaranchal 943 06 Haryana 1710 07 Delhi 1781 08 Rajasthan 4371 09 Uttar Pradesh 10753 10 Bihar 5345 11 Sikkim 863 12 Arunachal Pradesh 1248 13 Nagaland 756 14 Manipur 1802 15 Mizoram 1344 16 Tripura 1728 17 Meghalaya 1152 18 Assam 3512 19 West Bengal 7823 20 Jharkhand 2459 21 Orissa 3079 22 Chhattisgarh 1480 23 Madhya Pradesh 5064 24 Gujrat 3045 25 Daman & Diu 288 26 Dadra & Nagar Haveli 288 27 Maharastra 8512 28 Andhra Pardesh 6328 29 Karnataka 4349 30 Goa 191 31 Lakshadweep 192 32 Kerala 3227 33 Tamil Nadu 6974 34 Pondicheri 624 35 Andaman & Nicober 410 Region Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 1 Region-1 44860 2 Region-2 22589 3 Region-3 17780 4 Region-4 8924 5 Region-5 2566 6 Region-6 1163 7 Region-7 0 District Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Stratum Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Sub-stratum Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Village/block number Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Segment Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Second stage stratum Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Household No Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Source of drinking water Major source of drinking water 97841 0 0 NR 1 1 45535 2 34466 3 12609 4 Tank / pond (reserved for drinking) 1040 5 553 6 907 7 1988 9 742 Drinking water availability? Whether availability of drinking water is sufficient throughout the year? For collecting this information, the investigator will have to depend on the judgement of the informant. The code is 1 for 'yes' and 2 for 'no'. 97873 0 1 Yes 86103 2 No 11756 9 Invalid 14 Facility of drinking water Facility of drinking water 97876 0 1 32281 2 14276 3 51317 6 1 9 1 Distance drinking water(code) Distance to the source of drinking water(code) 97865 0 0 4 1 29110 2 20287 3 40384 4 6238 5 1147 6 215 7 219 8 261 Bathroom Bathroom facility? 97869 0 0 1 1 21441 2 19871 3 56553 5 1 8 1 ` 1 Distance-bathing place(km) 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 and not as a bathroom. 97768 0 0 3 1 70151 2 20791 3 5619 4 921 5 193 8 90 Latrine Latrine type? 97866 0 0 1 00 2 01 602 02 412 03 4087 04 698 05 1192 06 6389 07 2474 08 9076 09 4 1 3 10 23272 11 47151 12 1 20 2 21 1 31 1 62 2 7 2 99 2494 HH-using latrine Number of households using the latrine(s) If the household is using shared latrine, then the number of households sharing the latrine is to be ascertained and reported in this item. In case the exact number of households sharing the latrine is not known, approximate number may be recorded after proper probing. 8724 0 0 39 00 12 01 138 02 413 03 304 04 234 05 180 06 97 07 59 08 95 09 16 1 420 10 287 11 39 12 94 13 32 14 16 15 69 16 29 17 7 18 19 2 2000 20 88 21 5 22 8 23 1 24 3 25 20 26 4 27 6 28 1 29 6 3 1441 30 30 33 4 35 11 38 3 4 1026 40 5 41 1 48 4 49 4 5 601 50 9 51 3 6 364 60 1 61 1 67 5 7 178 77 2 8 182 80 2 87 6 9 90 99 10 Distance-latrine Distance to travel for latrine (code): 52826 0 0 179 1 17336 2 22951 3 10554 4 1776 5 16 6 2 7 10 9 2 Source-cooking Primary source of energy for cooking 97853 0 0 2 01 2212 02 54275 03 25299 04 139 05 5706 06 62 07 6501 08 130 09 5 1 1 10 1596 11 7 12 1 15 1 2 1 20 1 21 3 25 2 35 4 55 1 75 1 99 1903 Source-lighting Primary source of energy for lighting. 97860 0 0 2 1 30381 2 85 3 39 4 86 5 66747 6 368 7 1 9 151 Type-electric wiring Type of electric wiring If the primary source of energy for lighting is electricity, type of electric wiring done in the dwelling unit will be indicated here. 67005 0 0 6 1 17864 2 32230 3 16886 4 5 5 12 9 2 Radio/tran./tape/music sys. Does the household possess this item? Nnumber of households durable goods are listed in items 13 to 27. Information about the possession of each listed durable goods by the household as on the date of survey will be collected and recorded in codes. Each item should get applicable code and no item will be left blank. It may be noted that any item requiring normal repair will be considered for recording code for 'yes'. However, if the item has been out of use and the repairs are either not feasible or uneconomical, then code for 'no' may be recorded. Tractor will also include tractor-like equipment. 97882 0 1 42806 2 55022 8 54 Electric fan Does the household possess this item? See Q.13 for details 97882 0 1 50292 2 47529 8 61 Bicycle Does the household possess this item? See Q.13 for details 97882 0 1 44896 2 52933 8 53 Sewing machine Does the household possess this item? See Q.13 for details 97882 0 1 16175 2 81587 8 120 Television Does the household possess this item? See Q.13 for details 97882 0 1 13342 2 8082 3 5156 4 14780 5 56478 8 44 Telephone Does the household possess this item? See Q.13 for details 97882 0 1 12124 2 1113 3 930 4 83655 8 60 Refrigerator Does the household possess this item? See Q.13 for details 97882 0 1 13456 2 84368 8 58 Washing machine Does the household possess this item? See Q.13 for details 97882 0 1 4701 2 93099 8 82 Heator Does the household possess this item? See Q.13 for details 97838 0 1 3028 2 3168 3 1375 4 90266 9 1 Moped/scooter/m. cycle Does the household possess this item? See Q.13 for details 97882 0 1 12617 2 85209 8 56 Air cooler Does the household possess this item? See Q.13 for details 97882 0 1 7002 2 90839 8 41 Air conditioner Does the household possess this item? See Q.13 for details 97882 0 1 813 2 97028 8 41 Car / jeep Does the household possess this item? See Q.13 for details 97882 0 1 2309 2 95527 8 46 Personal computer Does the household possess this item? See Q.13 for details 97882 0 1 441 2 990 3 96398 8 53 Tractor Does the household possess this item? See Q.13 for details 97882 0 1 1125 2 96705 8 52 Multiplier Sub sample-wise 97882 0 1.5 297911.8 4195.648 5620.887 Generated Weight variable Multiplier Combined 97882 0 0.75 148955.9 2110.421 3023.265 Generated Weight variable nss (sub-sample-wise ns) 97882 0 1 57 8.151 9.157 Variables used for generating final multiplier nsc (sub-sample combined ns) 97882 0 1 114 16.296 18.316 Variables used for generating final multiplier Multiplier Posted 97882 0 150 29791180 419564.777 562088.72 Variables used for generating final multiplier Key to locate Hhold No 97882 0 Same as in dataset of Block-3 Round-Schedule 97882 0 5812 NSS Round-58 Schedule-1.2 97882 Record ID(Indicates Block number) Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 05 97882 Sector code Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 1 Rural 55966 2 Urban 41916 Sub-round Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 1 Sub-round-1 48891 2 Sub-round-2 48991 Sub-sample Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 1 Sub-sample-1 49022 2 Sub-sample-2 48860 State Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 01 Jammu & Kashmir 2014 02 Himachal Pradesh 1439 03 Punjab 2452 04 Chandigarh 336 05 Uttaranchal 943 06 Haryana 1710 07 Delhi 1781 08 Rajasthan 4371 09 Uttar Pradesh 10753 10 Bihar 5345 11 Sikkim 863 12 Arunachal Pradesh 1248 13 Nagaland 756 14 Manipur 1802 15 Mizoram 1344 16 Tripura 1728 17 Meghalaya 1152 18 Assam 3512 19 West Bengal 7823 20 Jharkhand 2459 21 Orissa 3079 22 Chhattisgarh 1480 23 Madhya Pradesh 5064 24 Gujrat 3045 25 Daman & Diu 288 26 Dadra & Nagar Haveli 288 27 Maharastra 8512 28 Andhra Pardesh 6328 29 Karnataka 4349 30 Goa 191 31 Lakshadweep 192 32 Kerala 3227 33 Tamil Nadu 6974 34 Pondicheri 624 35 Andaman & Nicober 410 Region Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 1 Region-1 44860 2 Region-2 22589 3 Region-3 17780 4 Region-4 8924 5 Region-5 2566 6 Region-6 1163 7 Region-7 0 District Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Stratum Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Sub-stratum Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Village/block number Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Segment Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Second stage stratum Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Household No Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Area type Area type in which the house is located. 97882 0 0 NR 51 1 3586 2 2232 3 Squatter settlement 320 4 130 9 91563 Plinth area(sq.ft) Plinth area of the house (in square feet): 97642 240 0 320000 648.659 1397.57 Plinth level(feet) Plinth level (in feet) 97752 130 0 96 1.097 1.297 Use of house Use of house The purpose for which the house is used will be entered against this item. In case of a flat, it will refer to the flat in which the household is residing. 97716 0 0 NR 1 1 91674 2 Residential-cum-factory 1012 3 484 4 2797 5 Any combination of code-3,3,4 441 8 Invalid 1 9 1306 Period since built(code) Period since built will be counted from the time of the first occupation after completion of the building and this information will be entered in terms of codes..Period since built is in respect of the ground floor of the building when the different stories were built at different times and the household is occupying the whole building. However, if different storeys are occupied by different households, year of construction will relate to the unit where the sample household resides. 97725 0 1 1772 2 8678 3 25009 4 30313 5 21218 6 6871 7 2136 8 1726 9 2 Condition of structure Condition of structure 97670 0 1 32528 2 Satisfactory 47612 3 17511 9 Invalid 19 Drainage arrangement Drainage arrangement Information on the drainage arrangement available to the house will be recorded against this item in codes. Drainage arrangement means arrangement for carrying off the waste water and liquid waste of the house. 97730 0 0 NR 1 1 10573 2 Covered pucca 6155 3 20187 4 16722 5 44090 9 Invalid 2 Garbage disposal Garbage disposal (urban only) 45782 0 0 NR 28 1 By Panchayat/municipality/corporation 23561 2 8282 3 12198 8 Invalid 55 9 1658 Animal shed Animal shed 97709 0 1 Detached from the building 21338 2 11378 3 64991 9 Invalid 2 Experienced-flood Whether experienced any flood during last 5 years? 97752 0 1 Yes: from excessive rain 4689 2 5960 3 87043 9 Invalid 60 Approach road/lane Approach road / lane / constructed path. 97722 0 1 Direct opening to: Motorable road /lane /constructed path with street light 28891 2 12169 3 9740 4 31942 5 14978 9 Invalid 2 Multiplier Sub sample-wise 97882 0 1.5 297911.8 4195.648 5620.887 Generated Weight variable Multiplier Combined 97882 0 0.75 148955.9 2110.421 3023.265 Generated Weight variable nss (sub-sample-wise ns) 97882 0 1 57 8.151 9.157 Variables used for generating final multiplie nsc (sub-sample combined ns) 97882 0 1 114 16.296 18.316 Variables used for generating final multiplie Multiplier Posted 97882 0 150 29791180 419564.777 562088.72 Variables used for generating final multiplie Key to locate Hhold No 97882 0 Same as in datast of Block-3 Round-Schedule Same as in dataset of block-3 97882 0 Same as in dataset of block-3 5812 NSS Round-58 Schedule-1.2 97882 Record ID(Indicates Block number) Same as in dataset of block-3 97882 0 Same as in dataset of block-3 06 97882 Sector code Same as in dataset of block-3 97882 0 Same as in dataset of block-3 1 Rural 55966 2 Urban 41916 Sub-round Same as in dataset of block-3 97882 0 Same as in dataset of block-3 1 Sub-round-1 48891 2 Sub-round-2 48991 Sub-sample Same as in dataset of block-3 97882 0 Same as in dataset of block-3 1 Sub-sample-1 49022 2 Sub-sample-2 48860 State Same as in dataset of block-3 97882 0 Same as in dataset of block-3 01 Jammu & Kashmir 2014 02 Himachal Pradesh 1439 03 Punjab 2452 04 Chandigarh 336 05 Uttaranchal 943 06 Haryana 1710 07 Delhi 1781 08 Rajasthan 4371 09 Uttar Pradesh 10753 10 Bihar 5345 11 Sikkim 863 12 Arunachal Pradesh 1248 13 Nagaland 756 14 Manipur 1802 15 Mizoram 1344 16 Tripura 1728 17 Meghalaya 1152 18 Assam 3512 19 West Bengal 7823 20 Jharkhand 2459 21 Orissa 3079 22 Chhattisgarh 1480 23 Madhya Pradesh 5064 24 Gujrat 3045 25 Daman & Diu 288 26 Dadra & Nagar Haveli 288 27 Maharastra 8512 28 Andhra Pardesh 6328 29 Karnataka 4349 30 Goa 191 31 Lakshadweep 192 32 Kerala 3227 33 Tamil Nadu 6974 34 Pondicheri 624 35 Andaman & Nicober 410 Region Same as in dataset of block-3 97882 0 Same as in dataset of block-3 1 Region-1 44860 2 Region-2 22589 3 Region-3 17780 4 Region-4 8924 5 Region-5 2566 6 Region-6 1163 7 Region-7 0 District Same as in dataset of block-3 97882 0 Same as in dataset of block-3 Stratum Same as in dataset of block-3 97882 0 Same as in dataset of block-3 Sub-stratum Same as in dataset of block-3 97882 0 Same as in dataset of block-3 Village/block number Same as in dataset of block-3 97882 0 Same as in dataset of block-3 Segment Same as in dataset of block-3 97882 0 Same as in dataset of block-3 Second stage stratum Same as in dataset of block-3 97882 0 Same as in dataset of block-3 Household No Same as in dataset of block-3 97882 0 Same as in dataset of block-3 Ownership-dwelling 97882 0 0 NR 27 1 78141 2 3442 3 Other hired accommodation 12352 4 130 9 3790 Monthly rent(Rs) Monthly rent(Rs) if code=2,3,4 in Q.1 skip this question 15384 82498 0 15000 620.131 779.369 Year of taking rent Year of taking rent if code=2,3,4 in Q.1 skip this question The year when the dwelling was taken on rent is to be recorded against this item. The cell against this item has been divided into four cells for recording four digits of the year, e.g., 1998. 15381 82501 0 9600 1988.684 122.893 Deposit(Rs) Non-adjustable deposit paid (Rs): if code=2,3,4 in Q.1 skip this question The amount of non-adjustable deposit paid for taking the dwelling on rent is to be recorded in rupees in whole number. Non-adjustable deposit means the deposit which is not adjusted in the monthly rent of the dwelling. 7736 90146 0 600000 3786.978 13531.593 Recoverable (code)? Whether recoverable at the time of vacation?: if code=2,3,4 in Q.1 skip this question In case the entry against item 4 is positive, then it is to be ascertained whether or not the deposit paid is recoverable at the time of vacating the dwelling. If the deposit is recoverable code 1 is to be given, else code 2 is to be given. In case only a part of the amount is recoverable, then code 1 may be given if the recoverable amount forms major part of the deposit; else code 2 may be given. 3700 0 0 NR 147 1 Yes 3376 2 No 170 9 Invalid 7 Imputed monthly rent(Rs) If code not =4 in Q.1 ask If not hired (i.e. if code 1 or 9 in item 1), imputed monthly rent (Rs.) if code=4 in Q.1 skip this question 81556 16326 0 50000 595.125 1083.284 Residential-status If code not =4 in Q.1 ask if code=4 in Q.1 skip this question Residential status of the landlord (for those households with code 3 against item 1) will be recorded in codes. 13402 0 0 NR 55 1 5302 2 6401 3 879 4 Staying in Other district of the same state 493 5 200 6 43 9 Invalid 29 Type-dwelling If code not =4 in Q.1 ask if code=4 in Q.1 skip this question The information on the type of the dwelling unit will be entered against this item in codes. 97212 0 0 NR 1 1 Independent house 73229 2 10635 8 Invalid 18 9 13329 No. of living rooms If code not =4 in Q.1 ask Number of living rooms in the dwelling: if code=4 in Q.1 skip this question 96674 1208 0 99 1.997 1.602 No. of other rooms If code not =4 in Q.1 ask Number of other rooms in the dwelling: if code=4 in Q.1 skip this question 67604 30278 0 90 1.62 1.989 Floor-area living rooms(sq.ft) If code not =4 in Q.1 ask Floor area living room(square feet) if code=4 in Q.1 skip this question 96749 1133 0 8748 265.591 220.269 Floor-area other rooms(sq.ft) If code not =4 in Q.1 ask Floor area other room(square feet) if code=4 in Q.1 skip this question See Q.11 for details 65438 32444 0 9360 132.519 174.101 Floor-area veranda(sq.ft) If code not =4 in Q.1 ask Floor area veranda (square feet) if code=4 in Q.1 skip this question See Q.11 for details 31145 66737 0 3192 91.001 93.917 Floor-area uncovered(sq.ft) If code not =4 in Q.1 ask Floor area uncovered(square feet) if code=4 in Q.1 skip this question See Q.11 for details 37883 59999 0 12550 96.497 137.878 Floor area (sq.ft) If code not =4 in Q.1 ask Total Floor area(square feet) if code=4 in Q.1 skip this question See Q.11 for details 97734 148 5 15870 418.048 364.962 Ventilation If code not =4 in Q.1 ask Ventilation of the dwelling unit if code=4 in Q.1 skip this question 97586 296 1 Good 27015 2 Satisfactory 43130 3 Bad 27438 9 Invalid 3 Sysmiss 296 Married couples If code not =4 in Q.1 ask Total number of married couples in the household if code=4 in Q.1 skip this question Total number of married couples in the household irrespective of their ages is to be recorded in this item. 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. 93418 4464 Separate rooms If code not =4 in Q.1 ask Whether a separate room is available to each married couple?: if code=4 in Q.1 skip this question 97593 0 0 NR 6 1 60450 2 22578 3 Not applicable 43 9 Invalid 14516 Not-separate rooms If code not =4 in Q.1 ask If code 2 in item 18, number of married couples not getting a separate room: if code=4 in Q.1 skip this question If code 2 in item 18, number of married couples not getting a separate room is to be recorded against this item. 22564 75318 kitchen type If code not =4 in Q.1 ask Kitchen type if code=4 in Q.1 skip this question 97701 181 0 NR 2 1 11363 2 35700 3 50631 5 Invalid 5 Sysmiss 181 Floor type If code not =4 in Q.1 ask Floor type if code=4 in Q.1 skip this question 97741 0 0 NR 1 1 43334 2 1086 3 2013 4 Brick /limestone / stone 8854 5 34441 6 7807 9 205 Wall type If code not =4 in Q.1 ask Wall type if code=4 in Q.1 skip this question See Q.21 for details 97747 0 0 NR 1 1 Grass /straw / leaves / reeds / bamboo etc 9802 2 Mud (with / without bamboo) / unburnt brick 24332 3 172 4 901 5 1155 6 51423 7 730 8 8381 9 850 Roof type If code not =4 in Q.1 ask Roof type if code=4 in Q.1 skip this question See Q.21 for details 97728 0 1 17514 2 2232 3 509 4 1552 5 20517 6 9724 7 Iron /zinc /other metal sheet/asbestos sheet 18268 8 25879 9 1533 Multiplier Sub sample-wise 97882 0 1.5 297911.8 4195.648 5620.887 Generated Weight variable Multiplier Combined 97882 0 0.75 148955.9 2110.421 3023.265 Generated Weight variable nss (sub-sample-wise ns) 97882 0 1 57 8.151 9.157 Variables used for generating final multiplie nsc (sub-sample combined ns) 97882 0 1 114 16.296 18.316 Variables used for generating final multiplie Multiplier Posted 97882 0 150 29791180 419564.777 562088.72 Variables used for generating final multiplie Key to locate Hhold No 40258 0 Same as in dataset of Block-3 Key to locate construction no 40258 0 Generated key variable using 'Key_hhold' and construction sl.no round schedule Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 5812 NSS Round-58 Schedule-1.2 40258 Record ID(Indicates Block number) Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 07 40258 Sector code Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 1 Rural 28808 2 Urban 11450 Sub-round Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 1 Sub-round-1 20970 2 Sub-round-2 19288 Sub-sample Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 1 Sub-sample-1 20626 2 Sub-sample-2 19632 State Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 01 Jammu & Kashmir 646 02 Himachal Pradesh 700 03 Punjab 630 04 Chandigarh 106 05 Uttaranchal 280 06 Haryana 466 07 Delhi 134 08 Rajasthan 1770 09 Uttar Pradesh 6074 10 Bihar 2404 11 Sikkim 296 12 Arunachal Pradesh 510 13 Nagaland 204 14 Manipur 284 15 Mizoram 190 16 Tripura 700 17 Meghalaya 632 18 Assam 1346 19 West Bengal 4232 20 Jharkhand 668 21 Orissa 1124 22 Chhattisgarh 536 23 Madhya Pradesh 1344 24 Gujrat 1388 25 Daman & Diu 44 26 Dadra & Nagar Haveli 34 27 Maharastra 2922 28 Andhra Pardesh 3062 29 Karnataka 896 30 Goa 52 31 Lakshadweep 138 32 Kerala 2358 33 Tamil Nadu 3394 34 Pondicheri 532 35 Andaman & Nicober 162 Region Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 1 Region-1 17986 2 Region-2 10306 3 Region-3 6942 4 Region-4 3556 5 Region-5 1114 6 Region-6 354 7 Region-7 0 District Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 Stratum Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 Sub-stratum Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 Village/block number Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 Segment Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 Second stage stratum Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 House-hold No Same as in dataset of Block-3 40258 0 Same as in dataset of Block-3 Srl no of constrction Srl no of two most recent constrctions Srl. no. 1 and 2 are already printed in column (3) and (4) for recording information about two most recent constructions 'at the present premises' and in column (5), (6) for constructions 'elsewhere'. Each column relates to one construction and information in items 3 to 23 is to be collected for each construction. 40258 0 11 Constrn.Sl.no1 at the present premises 19742 12 Constrn.Sl.no2 at the present premises 19742 21 Constrn.Sl.no1 elsewhere 387 22 Constrn.Sl.no2 elsewhere 387 No. of constructions initiated Number of constructions initiated during last 5 years 40258 0 Note that the Same figure is repeated in column-4 B7-Q2= 12 and column-6 (B7_q2=.22) and hence ignore the same while tabulating. Type of construction Check if Q.1 is not 0 then ask this Question Type of construction if Q.1 is 0 skip this question 40258 0 1 7950 2 2437 3 Alteration/improvement/major repair 10983 5 18888 Code 5 in this variable is incorrect and hence treat accordingly Construction completed Check if Q.1 is not 0 then ask this Question Whether construction is complete as on the date of survey?: if Q.1 is 0 skip this question A new building 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. If the construction is 'complete' on the date of survey, code 1 will be recorded, otherwise code 2 will be recorded. 21140 0 0 NR 7 1 Yes 18225 2 No 2902 9 Invalid 6 mon-year completion Check if Q.1 is not 0 then ask this Question Month / year of completion: if Q.1 is 0 skip this question 18728 0 This field not validated properly Type structure Check if Q.1 is not 0 then ask this Question Type of structure if Q.1 is 0 skip this question 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 construction completed. 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. Katcha includes both serviceable katcha and unserviceable katcha. 18633 0 0 NR 8 1 7710 2 Semi-pucca 4018 3 6896 9 Invalid 1 Floor area(sq.ft) Check if Q.1 is not 0 then ask this Question Floor area(sq.ft) if Q.1 is 0 skip this question 13496 26762 0 8000 316.551 331.35 No of dwelling units Check if Q.1 is not 0 then ask this Question Number of dwelling units: if Q.1 is 0 skip this question The number of dwelling units occupying or expected to occupy the new building or the additional floor space constructed will be recorded against this item in the relevant column(s). 14286 25972 Cost of construction-last 5 years Check if Q.1 is not 0 then ask this Question Cost of construction during last 5 years (Rs.) if Q.1 is 0 skip this question 21365 18893 0 2800000 48474.779 121922.071 Source finance -Own Check if Q.1 is not 0 then ask this Question source of finance of construction during last 5 years : OWN if Q.1 is 0 skip this question 18920 21338 0 2800000 35755.421 93412.032 Co-operative Check if Q.1 is not 0 then ask this Question source of finance of construction during last 5 years:Co-operative if Q.1 is 0 skip this question See Q10 for details 679 39579 0 1500000 51616.944 92466.838 Govt financial instn Check if Q.1 is not 0 then ask this Question source of finance of construction during last 5 years:Govt financial institution if Q.1 is 0 skip this question See Q10 for details 1382 38876 0 800000 67114.171 101946.602 Non-govt financial instn Check if Q.1 is not 0 then ask this Question source of finance of construction during last 5 years Non-govt financial institution if Q.1 is 0 skip this question See Q10 for details 279 39979 0 1500000 78529.964 154679.329 Govt non-financial instn Check if Q.1 is not 0 then ask this Question source of finance of construction during last 5 years: Govt non-financial institution if Q.1 is 0 skip this question See Q10 for details 817 39441 0 800000 25003.487 63253.173 Non-govt non-financial instn Check if Q.1 is not 0 then ask this Question source of finance of construction during last 5 years : Non-govt non-financial instn if Q.1 is 0 skip this question See Q10 for details 194 40064 0 400000 27914.51 57652.184 Money lenders Check if Q.1 is not 0 then ask this Question source of finance of construction during last 5 years : Money lenders if Q.1 is 0 skip this question See Q10 for details 3482 36776 0 500000 17853.576 34779.068 Friends relatives Check if Q.1 is not 0 then ask this Question source of finance of construction during last 5 years : Friends relatives if Q.1 is 0 skip this question See Q10 for details 3727 36531 0 800000 21088.757 46497.712 Others Check if Q.1 is not 0 then ask this Question source of finance of construction during last 5 years : Others if Q.1 is 0 skip this question See Q10 for details 1418 38840 0 1200000 18945.06 60356.071 Check if Q.1 is not 0 then ask this Question if Q.1 is 0 skip this question 40258 0 0 2800000 25328.467 91254.83 Cost pucca material last year Check if Q.1 is not 0 then ask this Question Cost of construction during last year (Rs)- pucca material if Q.1 is 0 skip this question 5225 35033 0 1400000 40594.182 79475.227 Cost other material last year Check if Q.1 is not 0 then ask this Question Cost of construction during last year (Rs)- other material if Q.1 is 0 skip this question See q.19 for details 6076 34182 0 280000 6067.187 16595.607 Labour cost last year Check if Q.1 is not 0 then ask this Question Cost of construction during last year (Rs)-Labour cost if Q.1 is 0 skip this question See q.19 for details 7640 32618 0 630000 9716.538 27399.655 Other cost last year Check if Q.1 is not 0 then ask this Question Cost of construction during last year (Rs)-Other cost if Q.1 is 0 skip this question See q.19 for details 4130 36128 0 1200000 6022.732 27306.637 Check if Q.1 is not 0 then ask this Question Cost of construction during last year (Rs)-Total cost if Q.1 is 0 skip this question See q.19 for details 8436 31822 0 2100000 41260.913 102944.814 Total exp incurred new resdl unit Check if Q.1 is not 0 then ask this Question Total expenditure incurred for acquiring new residential unit during last 5 years (Rs.): if Q.1 is 0 skip this question If the sample household did not carry out the construction itself but made full or part payment during the last 5 years for acquiring or for already acquired readymade new house / flat, the total amount paid for this purpose will be recorded in item 24. It may be noted that the 'new residential unit' means first hand purchase irrespective of the year of purchase and second hand purchase is not 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. 40258 0 0 2600000 2288.245 39211.157 Multiplier (sub-sample-wise ) 40258 0 1.5 297911.8 4419.001 5872.309 Generated Weight variable Multiplier (Combined) 40258 0 0.75 148955.9 2221.391 3009.04 Generated Weight variable nss (sub-sample-wise ns) 40258 0 1 57 6.589 6.644 Variables used for generating final multiplie nsc (sub-sample combined ns) 40258 0 1 114 13.171 13.291 Variables used for generating final multiplie Multiplier Posted 40258 0 150 29791180 441900.148 587230.932 Variables used for generating final multiplie Key to locate Hhold No 97882 0 Same as in dataset of block-3 Round-Schedule Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 5812 NSS Round-58 Schedule-1.2 97882 Record ID(Indicates Block number) Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 08 97882 Sector code Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 1 Rural 55966 2 Urban 41916 Sub-round Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 1 Sub-round-1 48891 2 Sub-round-2 48991 Sub-sample Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 1 Sub-sample-1 49022 2 Sub-sample-2 48860 State Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 01 Jammu & Kashmir 2014 02 Himachal Pradesh 1439 03 Punjab 2452 04 Chandigarh 336 05 Uttaranchal 943 06 Haryana 1710 07 Delhi 1781 08 Rajasthan 4371 09 Uttar Pradesh 10753 10 Bihar 5345 11 Sikkim 863 12 Arunachal Pradesh 1248 13 Nagaland 756 14 Manipur 1802 15 Mizoram 1344 16 Tripura 1728 17 Meghalaya 1152 18 Assam 3512 19 West Bengal 7823 20 Jharkhand 2459 21 Orissa 3079 22 Chhattisgarh 1480 23 Madhya Pradesh 5064 24 Gujrat 3045 25 Daman & Diu 288 26 Dadra & Nagar Haveli 288 27 Maharastra 8512 28 Andhra Pardesh 6328 29 Karnataka 4349 30 Goa 191 31 Lakshadweep 192 32 Kerala 3227 33 Tamil Nadu 6974 34 Pondicheri 624 35 Andaman & Nicober 410 Region Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 1 Region-1 44860 2 Region-2 22589 3 Region-3 17780 4 Region-4 8924 5 Region-5 2566 6 Region-6 1163 7 Region-7 0 District Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Stratum Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Sub-stratum Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Village/block number Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Segment Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Second stage stratum Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 Household No Same as in dataset of Block-3 97882 0 Same as in dataset of Block-3 own any dwelling Does the household own any dwelling elsewhere? It is to be ascertained whether the sample household owns any dwelling unit elsewhere, i.e., in place(s) other than the place of present stay and the information obtained will be entered in codes against item 1. 97795 0 1 7991 2 1654 3 1066 4 Native place as well as other place 468 5 86616 Type of structure Type of structure 10868 0 1 5363 2 3567 3 1690 4 Unserviceable katcha 237 9 Invalid 11 Location If codes 1 to 4 in item 1, location. The location of the dwelling owned by the household elsewhere will be recorded in terms of codes against this item. 10830 0 1 3954 2 1526 3 2083 4 564 5 2248 6 454 9 Invalid 1 Present use (if codes 1 to 4 in item 1) present use: The present use of the dwelling owned by the household elsewhere will be ascertained and recorded against this item in terms of the following codes 10861 0 1 Occupied : Rented 1367 2 7049 3 2395 9 Invalid 50 Own cultivable land Does the household own any cultivable land elsewhere?: 97739 0 1 10879 2 6631 3 1511 4 Yes: Native place as well as other place 1139 5 77579 Own plot-residence Does the household own a plot for residential house construction?: The information whether the sample household owns a plot for residential house construction will be ascertained and recorded in codes against item 6. 97790 0 1 3444 2 2544 3 735 4 Yes: Native place as well as other place 335 5 90731 9 Invalid 1 Plan to construct Does the household plan to construct / acquire a house during the next 2 years?: If the household on enquiry, reports that it plans to construct / acquire a house or flat during the next two years, then for such a household, code 1 will be recorded against this item; otherwise, code 2 will be recorded. 97733 0 1 Yes 3291 2 No 94430 9 Invalid 12 Source of finance If code 1 in item 7, source of finance 3311 0 0 NR 23 1 Own savings 857 2 Borrowings 616 3 1796 9 Invalid 19 Multiplier Sub sample-wise 97882 0 1.5 297911.8 4195.648 5620.887 Generated Weight variable Multiplier Combined 97882 0 0.75 148955.9 2110.421 3023.265 Generated Weight variable nss (sub-sample-wise ns) 97882 0 1 57 8.151 9.157 Variables used for generating final multiplie nsc (sub-sample combined ns) 97882 0 1 114 16.296 18.316 Variables used for generating final multiplie Multiplier Posted 97882 0 150 29791180 419564.777 562088.72 Variables used for generating final multiplie Key to locate Hhold no 5818 0 Same as in dataset of Block-3 Round and schedule Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 5812 NSS Round-58 Schedule-1.2 5818 Record IdentifierRecord ID(Indicates Block number) Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 09 Block-09 of schedule 5818 Sector code Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 1 Rural 0 2 Urban 5818 Sub-round Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 1 Sub-round-1 3131 2 Sub-round-2 2687 Sub-sample Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 1 Sub-sample-1 3030 2 Sub-sample-2 2788 State Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 01 Jammu & Kashmir 63 02 Himachal Pradesh 0 03 Punjab 64 04 Chandigarh 48 05 Uttaranchal 2 06 Haryana 95 07 Delhi 208 08 Rajasthan 95 09 Uttar Pradesh 294 10 Bihar 42 11 Sikkim 0 12 Arunachal Pradesh 15 13 Nagaland 0 14 Manipur 0 15 Mizoram 0 16 Tripura 1 17 Meghalaya 27 18 Assam 12 19 West Bengal 510 20 Jharkhand 99 21 Orissa 89 22 Chhattisgarh 73 23 Madhya Pradesh 338 24 Gujrat 411 25 Daman & Diu 0 26 Dadra & Nagar Haveli 0 27 Maharastra 1749 28 Andhra Pardesh 785 29 Karnataka 242 30 Goa 31 31 Lakshadweep 0 32 Kerala 75 33 Tamil Nadu 377 34 Pondicheri 73 35 Andaman & Nicober 0 Region Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 1 Region-1 2704 2 Region-2 923 3 Region-3 1238 4 Region-4 528 5 Region-5 395 6 Region-6 30 7 Region-7 0 District Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 Stratum Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 Sub-stratum Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 Village/block number Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 Segment Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 Second stage stratum Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 House-hold No Same as in dataset of Block-3 5818 0 Same as in dataset of Block-3 Duration of stay-slum(years) Duration of stay in the slum (years) 5702 116 0 99 19.58 15.74 Place residing before slum Place where the household was residing before coming to this slum: Place where the household was residing before coming to this slum will be recorded against this item in codes. In case the household has been living in the present slum throughout, then the entry will be 1 5818 0 1 3170 2 702 3 1828 9 Invalid 118 Type struct. earlier (if code 1 in item 2) type of structure of the accommodation availed of earlier The type of structure of the accommodation availed of earlier by those households which were living elsewhere in the same town before moving into the slum will be recorded in codes. 3402 0 1 1181 2 Semi -pucca 1058 3 1116 4 No dwelling 47 Reason for movement (if code 1 in item 2) reason for movement to the slum. The reason for movement to the slum for those households which were living elsewhere in the same town before moving into the slum will be ascertained and indicated in codes. 3394 0 1 647 2 1179 3 577 9 991 Possess any documents Does the head of the household possess any of the documents?: The information as to whether the head of the household possesses any of the documents will be recorded against this item in terms of codes. 5701 0 1 1629 2 327 3 39 4 Any combination of codes 1 to 3 2564 5 1096 9 46 Received any benefit Whether received any benefit as a slum dweller?: 5700 0 1 Received allotment of land /tenement 709 2 4463 9 528 Tried to move out slum Whether tried to move out of the slum?: 5699 0 1 Yes 275 2 No 5424 Main reason to move out (if code 1 in item 7) main reason: If the household has at any time attempted to move out of the slum, the reason thereof will be given in terms of codes. 276 0 1 168 2 Proximity to place of work 40 3 14 9 54 Multiplier Sub-sample wise 5818 0 3 42122.5 1997.433 3287.015 Generated Weight variable Multiplier Combined 5818 0 1.5 21061.25 998.716 1643.508 Generated Weight variable nss (sub-sample-wise ns) 5818 0 1 57 9.938 12.245 Variables used for generating final multiplie nsc (sub-sample combined ns) 5818 0 2 114 19.883 24.489 Variables used for generating final multiplie Multiplier (Posted ) 5818 0 300 4212250 199743.291 328701.514 Variables used for generating final multiplie