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    Home / Central Data Catalog / CEXP / DDI-IND-MOSPI-NSS-HCES23-24 / variable [V5]
CEXP

Household Consumption Expenditure Survey: 2023-24

India
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Reference ID
DDI-IND-MOSPI-NSS-HCES23-24
Producer(s)
NSS
Collections
Household Consumption Expenditure
Metadata
DDI/XML JSON
Created on
Apr 22, 2025
Last modified
Apr 22, 2025
Page views
17598
Downloads
1849
  • Study Description
  • Data Dictionary
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  • Data files
  • LEVEL -
    01(Section 1
    and 1.1)
  • LEVEL - 02
    (Section 3)
  • LEVEL - 03
  • LEVEL - 04
    (Section 4.1)
  • LEVEL - 05 (
    Sec 5 & 6)
  • LEVEL - 06
    (Section 7)
  • LEVEL - 07
    (Section 4.2)
  • LEVEL - 08
    (Section 8.1)
  • LEVEL - 09
    (Section 9 & 10
    & 11)
  • LEVEL - 10
    (Section 12)
  • LEVEL - 11
    (Section 4.3)
  • LEVEL - 12
    (Section 13)
  • Level - 13
    (Section 14)
  • LEVEL - 14
    (Section A1,B1
    & C1)
  • LEVEL - 15
    (Section 1.1,
    A2,B2 & C2)

State (State)

Data file: LEVEL - 01(Section 1 and 1.1)

Overview

Valid: 261953
Invalid: 0
Type: Discrete
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
01 Jammu & Kashmir 3582
1.4%
02 Himachal Pradesh 2406
0.9%
03 Punjab 5971
2.3%
04 Chandigarh(U.T.) 718
0.3%
05 Uttrakhand 2749
1%
06 Haryana 5263
2%
07 Delhi 3359
1.3%
08 Rajasthan 13147
5%
09 Uttar Prdesh 30308
11.6%
10 Bihar 17255
6.6%
11 Sikkim 2158
0.8%
12 Arunachal Pradesh 4073
1.6%
13 Nagaland 3042
1.2%
14 Manipur 4244
1.6%
15 Mizoram 3600
1.4%
16 Tripura 5040
1.9%
17 Meghalaya 3216
1.2%
18 Assam 8572
3.3%
19 West Bengal 18120
6.9%
20 Jharkhand 6331
2.4%
21 Odisha 9213
3.5%
22 Chattisgarh 4968
1.9%
23 Madhya Pradesh 14105
5.4%
24 Gujarat 11271
4.3%
25 Dadra & Nagar Haveli and Daman & Diu 698
0.3%
27 Maharashtra 22746
8.7%
28 Andhra Pradesh 10465
4%
29 Karnataka 12533
4.8%
30 Goa 720
0.3%
31 Lakshadweep (U.T.) 605
0.2%
32 Kerala 7400
2.8%
33 Tamilnadu 14492
5.5%
34 Puducherry (U.T.) 1077
0.4%
35 A and N Islands (U.T.) 1000
0.4%
36 Telangana 6786
2.6%
37 Ladakh (U.T.) 720
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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