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    Home / Central Data Catalog / CEXP / DDI-IND-MOSPI-NSS-HCES23-24 / variable [V281]
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
30100
Downloads
3271
  • 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 - 10 (Section 12)

Overview

Valid: 829310
Invalid: 0
Type: Discrete
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
01 Jammu & Kashmir 6519
0.8%
02 Himachal Pradesh 4319
0.5%
03 Punjab 6998
0.8%
04 Chandigarh(U.T.) 2032
0.2%
05 Uttrakhand 6856
0.8%
06 Haryana 13729
1.7%
07 Delhi 15163
1.8%
08 Rajasthan 27727
3.3%
09 Uttar Prdesh 114532
13.8%
10 Bihar 63517
7.7%
11 Sikkim 12814
1.5%
12 Arunachal Pradesh 26917
3.2%
13 Nagaland 10546
1.3%
14 Manipur 17655
2.1%
15 Mizoram 16590
2%
16 Tripura 33701
4.1%
17 Meghalaya 19208
2.3%
18 Assam 50129
6%
19 West Bengal 52235
6.3%
20 Jharkhand 16727
2%
21 Odisha 23376
2.8%
22 Chattisgarh 17872
2.2%
23 Madhya Pradesh 62956
7.6%
24 Gujarat 19309
2.3%
25 Dadra & Nagar Haveli and Daman & Diu 1796
0.2%
27 Maharashtra 45902
5.5%
28 Andhra Pradesh 22420
2.7%
29 Karnataka 46972
5.7%
30 Goa 1313
0.2%
31 Lakshadweep (U.T.) 1154
0.1%
32 Kerala 6940
0.8%
33 Tamilnadu 29562
3.6%
34 Puducherry (U.T.) 5175
0.6%
35 A and N Islands (U.T.) 2686
0.3%
36 Telangana 21741
2.6%
37 Ladakh (U.T.) 2222
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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