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    Home / Central Data Catalog / IND_2023_HCES_V01_M / variable [F14]
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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
1823
Downloads
28
  • 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_14_Section_A1_B1_C1.sav

Overview

Valid: 8296569
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 109779
1.3%
2 Himachal Pradesh 68776
0.8%
3 Punjab 178065
2.1%
4 Chandigarh(U.T.) 23884
0.3%
5 Uttrakhand 84387
1%
6 Haryana 169482
2%
7 Delhi 119041
1.4%
8 Rajasthan 378515
4.6%
9 Uttar Prdesh 992379
12%
10 Bihar 577725
7%
11 Sikkim 72270
0.9%
12 Arunachal Pradesh 144089
1.7%
13 Nagaland 95265
1.1%
14 Manipur 142081
1.7%
15 Mizoram 127211
1.5%
16 Tripura 177569
2.1%
17 Meghalaya 98934
1.2%
18 Assam 282622
3.4%
19 West Bengal 563586
6.8%
20 Jharkhand 191475
2.3%
21 Odisha 266076
3.2%
22 Chattisgarh 152764
1.8%
23 Madhya Pradesh 465999
5.6%
24 Gujarat 345091
4.2%
25 Dadra & Nagar Haveli and Daman & Diu 21186
0.3%
27 Maharashtra 715657
8.6%
28 Andhra Pradesh 314692
3.8%
29 Karnataka 404150
4.9%
30 Goa 22520
0.3%
31 Lakshadweep (U.T.) 17662
0.2%
32 Kerala 219373
2.6%
33 Tamilnadu 443975
5.4%
34 Puducherry (U.T.) 37780
0.5%
35 A and N Islands (U.T.) 30252
0.4%
36 Telangana 219747
2.6%
37 Ladakh (U.T.) 22510
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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