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    Home / Central Data Catalog / CEXP / DDI-IND-MOSPI-NSSO-HCES22-23 / variable [V245]
CEXP

Household Consumption Expenditure Survey: 2022-23

India
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Reference ID
DDI-IND-MOSPI-NSSO-HCES22-23
Producer(s)
NSSO
Collections
Household Consumption Expenditure
Metadata
DDI/XML JSON
Created on
Dec 20, 2024
Last modified
Dec 20, 2024
Page views
73311
Downloads
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  • Study Description
  • Data Dictionary
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  • 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 - 08 (Section 8.1)

Overview

Valid: 1410652
Invalid: 0
Type: Discrete
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
01 Jammu & Kashmir 16128
1.1%
02 Himachal Pradesh 11127
0.8%
03 Punjab 25572
1.8%
04 Chandigarh(U.T.) 3452
0.2%
05 Uttrakhand 16108
1.1%
06 Haryana 26672
1.9%
07 Delhi 13219
0.9%
08 Rajasthan 71221
5%
09 Uttar Prdesh 165865
11.8%
10 Bihar 97267
6.9%
11 Sikkim 12958
0.9%
12 Arunachal Pradesh 21407
1.5%
13 Nagaland 16317
1.2%
14 Manipur 25845
1.8%
15 Mizoram 17453
1.2%
16 Tripura 30972
2.2%
17 Meghalaya 17418
1.2%
18 Assam 47685
3.4%
19 West Bengal 95717
6.8%
20 Jharkhand 35974
2.6%
21 Odisha 51461
3.6%
22 Chattisgarh 26470
1.9%
23 Madhya Pradesh 79724
5.7%
24 Gujarat 60052
4.3%
25 Dadra & Nagar Haveli and Daman & Diu 3501
0.2%
27 Maharashtra 123549
8.8%
28 Andhra Pradesh 54019
3.8%
29 Karnataka 69776
4.9%
30 Goa 3291
0.2%
31 Lakshadweep (U.T.) 3347
0.2%
32 Kerala 42442
3%
33 Tamilnadu 78458
5.6%
34 Puducherry (U.T.) 5454
0.4%
35 A and N Islands (U.T.) 5628
0.4%
36 Telangana 32449
2.3%
37 Ladakh (U.T.) 2654
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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