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    Home / Central Data Catalog / OTH / DDI-IND-MOSPI-NSSO-76RND-SCH1.2-JULY2018-DECEMBER2018 / variable [F15]
OTH

Drinking Water, Sanitation, Hygiene and Housing Condition NSS 76th Round : July 2018- December 2018

India, 2018
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Reference ID
DDI-IND-MOSPI-NSSO-76Rnd-Sch1.2-July2018-December2018
Producer(s)
National Sample Survey Office,NSSO
Collections
Other Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 10, 2022
Last modified
Jun 25, 2026
Page views
182487
Downloads
18706
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • L01_sample_household
  • L02_Demographic_particulars
  • L03_Household_characteristics
  • L04_Household
    characteristics_15_1_to_15_5
  • L05_Particulars_of_living_facilities
  • L06_Housing_characteristics_micro_environment
  • L07_Particulars_of_dwelling
  • L08_Some_general_particulars
  • L09_Particulars_of_field_operations

State code (State)

Data file: L06_Housing_characteristics_micro_environment

Overview

Valid: 106804
Invalid: 0
Type: Discrete
Width: 2
Format: character

Questions and instructions

Categories
Value Category Cases
01 JAMMU & KASHMIR 1713
1.6%
02 HIMACHAL PRADESH 947
0.9%
03 PUNJAB 2361
2.2%
04 CHANDIGARH 192
0.2%
05 UTTARANCHAL 984
0.9%
06 HARYANA 2145
2%
07 DELHI 1615
1.5%
08 RAJASTHAN 5231
4.9%
09 UTTAR PRADESH 12411
11.6%
10 BIHAR 6993
6.5%
11 SIKKIM 816
0.8%
12 ARUNACHAL PRADESH 1142
1.1%
13 NAGALAND 912
0.9%
14 MANIPUR 2242
2.1%
15 MIZORAM 1200
1.1%
16 TRIPURA 2256
2.1%
17 MEGHALAYA 1292
1.2%
18 ASSAM 3600
3.4%
19 WEST BENGAL 7788
7.3%
20 JHARKHAND 2565
2.4%
21 ODISHA 3670
3.4%
22 CHATTISGARH 2125
2%
23 MADHYA PRADESH 5908
5.5%
24 GUJARAT 4839
4.5%
25 DAMAN & DIU 192
0.2%
26 D & N HAVELI 192
0.2%
27 MAHARASTRA 9294
8.7%
28 ANDHRA PRADESH 3863
3.6%
29 KARNATAKA 4893
4.6%
30 GOA 239
0.2%
31 LAKSHADWEEP 144
0.1%
32 KERALA 3383
3.2%
33 TAMIL NADU 6107
5.7%
34 PONDICHERRY 360
0.3%
35 A & N ISLANDS 240
0.2%
36 TELANGANA 2950
2.8%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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