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    Home / Central Data Catalog / IND_2023_HCES_V01_M / variable [F13]
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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
934
Downloads
9
  • Study Description
  • Data Dictionary
  • Downloads
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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_13_Section_14.sav

Overview

Valid: 4951749
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 67228
1.4%
2 Himachal Pradesh 31351
0.6%
3 Punjab 113162
2.3%
4 Chandigarh(U.T.) 16523
0.3%
5 Uttrakhand 52907
1.1%
6 Haryana 121890
2.5%
7 Delhi 95394
1.9%
8 Rajasthan 221504
4.5%
9 Uttar Prdesh 729062
14.7%
10 Bihar 358548
7.2%
11 Sikkim 47016
0.9%
12 Arunachal Pradesh 101617
2.1%
13 Nagaland 59918
1.2%
14 Manipur 78605
1.6%
15 Mizoram 74372
1.5%
16 Tripura 98861
2%
17 Meghalaya 49844
1%
18 Assam 155504
3.1%
19 West Bengal 311006
6.3%
20 Jharkhand 101393
2%
21 Odisha 135938
2.7%
22 Chattisgarh 82088
1.7%
23 Madhya Pradesh 325192
6.6%
24 Gujarat 212920
4.3%
25 Dadra & Nagar Haveli and Daman & Diu 11846
0.2%
27 Maharashtra 405737
8.2%
28 Andhra Pradesh 147432
3%
29 Karnataka 231439
4.7%
30 Goa 11391
0.2%
31 Lakshadweep (U.T.) 7870
0.2%
32 Kerala 99265
2%
33 Tamilnadu 222014
4.5%
34 Puducherry (U.T.) 22667
0.5%
35 A and N Islands (U.T.) 17485
0.4%
36 Telangana 120381
2.4%
37 Ladakh (U.T.) 12379
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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