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    Home / Central Data Catalog / IND_2023_HCES_V01_M / variable [F2]
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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
690
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_02_Section_3.sav

Overview

Valid: 1107221
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 17168
1.6%
2 Himachal Pradesh 8169
0.7%
3 Punjab 24747
2.2%
4 Chandigarh(U.T.) 2726
0.2%
5 Uttrakhand 11212
1%
6 Haryana 22972
2.1%
7 Delhi 13661
1.2%
8 Rajasthan 61917
5.6%
9 Uttar Prdesh 153977
13.9%
10 Bihar 85751
7.7%
11 Sikkim 8015
0.7%
12 Arunachal Pradesh 18927
1.7%
13 Nagaland 13349
1.2%
14 Manipur 19008
1.7%
15 Mizoram 16148
1.5%
16 Tripura 18796
1.7%
17 Meghalaya 15881
1.4%
18 Assam 37322
3.4%
19 West Bengal 67396
6.1%
20 Jharkhand 28507
2.6%
21 Odisha 34619
3.1%
22 Chattisgarh 20950
1.9%
23 Madhya Pradesh 64952
5.9%
24 Gujarat 48718
4.4%
25 Dadra & Nagar Haveli and Daman & Diu 2765
0.2%
27 Maharashtra 92552
8.4%
28 Andhra Pradesh 33647
3%
29 Karnataka 48889
4.4%
30 Goa 2741
0.2%
31 Lakshadweep (U.T.) 3006
0.3%
32 Kerala 26549
2.4%
33 Tamilnadu 48029
4.3%
34 Puducherry (U.T.) 3765
0.3%
35 A and N Islands (U.T.) 3454
0.3%
36 Telangana 23445
2.1%
37 Ladakh (U.T.) 3491
0.3%
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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