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    Home / Central Data Catalog / IND_2023_HCES_V01_M / variable [F5]
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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
771
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_05_Sec_5_6.sav

Overview

Valid: 12754437
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 154528
1.2%
2 Himachal Pradesh 112908
0.9%
3 Punjab 272045
2.1%
4 Chandigarh(U.T.) 36574
0.3%
5 Uttrakhand 130631
1%
6 Haryana 269396
2.1%
7 Delhi 176591
1.4%
8 Rajasthan 571403
4.5%
9 Uttar Prdesh 1455955
11.4%
10 Bihar 841515
6.6%
11 Sikkim 112868
0.9%
12 Arunachal Pradesh 190080
1.5%
13 Nagaland 129427
1%
14 Manipur 184182
1.4%
15 Mizoram 129225
1%
16 Tripura 264124
2.1%
17 Meghalaya 135441
1.1%
18 Assam 402632
3.2%
19 West Bengal 876865
6.9%
20 Jharkhand 264322
2.1%
21 Odisha 416992
3.3%
22 Chattisgarh 224100
1.8%
23 Madhya Pradesh 677832
5.3%
24 Gujarat 583902
4.6%
25 Dadra & Nagar Haveli and Daman & Diu 34188
0.3%
27 Maharashtra 1136984
8.9%
28 Andhra Pradesh 524249
4.1%
29 Karnataka 685780
5.4%
30 Goa 40975
0.3%
31 Lakshadweep (U.T.) 31568
0.2%
32 Kerala 379026
3%
33 Tamilnadu 799686
6.3%
34 Puducherry (U.T.) 68837
0.5%
35 A and N Islands (U.T.) 51980
0.4%
36 Telangana 356800
2.8%
37 Ladakh (U.T.) 30826
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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