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    Home / Central Data Catalog / IND_2023_HCES_V01_M / variable [F12]
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Household Consumption Expenditure Survey 2023-2024

India, 2023 - 2024
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Reference ID
IND_2023_HCES_v01_M
Producer(s)
National Statistics Office of India
Metadata
DDI/XML JSON
Created on
Jun 10, 2025
Last modified
Jun 10, 2025
Page views
788
Downloads
9
  • Study Description
  • Data Dictionary
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  • Data files
  • LEVEL_01_Section_1_1-1.sav
  • LEVEL_02_Section_3.sav
  • LEVEL_03.sav
  • LEVEL_04_Section_4-1.sav
  • LEVEL_05_Sec_5_6.sav
  • LEVEL_06_Section_7.sav
  • LEVEL_07_Section_4-2.sav
  • LEVEL_08_Section_8-1.sav
  • LEVEL_09_Section_9_10_11.sav
  • LEVEL_10_Section_12.sav
  • LEVEL_11_Section_4-3.sav
  • LEVEL_12_Section_13.sav
  • LEVEL_13_Section_14.sav
  • LEVEL_14_Section_A1_B1_C1.sav
  • LEVEL_15_Section_1-1_A2_B2_C2.sav

State (State)

Data file: LEVEL_12_Section_13.sav

Overview

Valid: 4707351
Invalid: 0
Type: Discrete
Decimal: 0
Start: 15
End: 16
Width: 2
Range: -
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Jammu & Kashmir 63826
1.4%
2 Himachal Pradesh 39170
0.8%
3 Punjab 109024
2.3%
4 Chandigarh(U.T.) 14738
0.3%
5 Uttrakhand 55014
1.2%
6 Haryana 101577
2.2%
7 Delhi 67248
1.4%
8 Rajasthan 238604
5.1%
9 Uttar Prdesh 614595
13.1%
10 Bihar 324076
6.9%
11 Sikkim 48263
1%
12 Arunachal Pradesh 76532
1.6%
13 Nagaland 61374
1.3%
14 Manipur 71488
1.5%
15 Mizoram 54031
1.1%
16 Tripura 102591
2.2%
17 Meghalaya 63369
1.3%
18 Assam 155187
3.3%
19 West Bengal 320811
6.8%
20 Jharkhand 109546
2.3%
21 Odisha 148316
3.2%
22 Chattisgarh 83530
1.8%
23 Madhya Pradesh 269828
5.7%
24 Gujarat 211092
4.5%
25 Dadra & Nagar Haveli and Daman & Diu 12841
0.3%
27 Maharashtra 396048
8.4%
28 Andhra Pradesh 152051
3.2%
29 Karnataka 214405
4.6%
30 Goa 11374
0.2%
31 Lakshadweep (U.T.) 8785
0.2%
32 Kerala 112561
2.4%
33 Tamilnadu 232339
4.9%
34 Puducherry (U.T.) 18054
0.4%
35 A and N Islands (U.T.) 16168
0.3%
36 Telangana 117348
2.5%
37 Ladakh (U.T.) 11547
0.2%
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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