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    Home / Central Data Catalog / CEXP / DDI-IND-MOSPI-NSSO-HCES22-23 / variable [F12]
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
72177
Downloads
7254
  • Study Description
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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 - 12 (Section 13)

Overview

Valid: 4410298
Invalid: 0
Type: Discrete
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
01 Jammu & Kashmir 61617
1.4%
02 Himachal Pradesh 37112
0.8%
03 Punjab 101748
2.3%
04 Chandigarh(U.T.) 14834
0.3%
05 Uttrakhand 53112
1.2%
06 Haryana 94045
2.1%
07 Delhi 60018
1.4%
08 Rajasthan 227371
5.2%
09 Uttar Prdesh 558033
12.7%
10 Bihar 302360
6.9%
11 Sikkim 45851
1%
12 Arunachal Pradesh 66072
1.5%
13 Nagaland 54585
1.2%
14 Manipur 68875
1.6%
15 Mizoram 48345
1.1%
16 Tripura 97163
2.2%
17 Meghalaya 67315
1.5%
18 Assam 141914
3.2%
19 West Bengal 306981
7%
20 Jharkhand 105727
2.4%
21 Odisha 143350
3.3%
22 Chattisgarh 75583
1.7%
23 Madhya Pradesh 256063
5.8%
24 Gujarat 201477
4.6%
25 Dadra & Nagar Haveli and Daman & Diu 11050
0.3%
27 Maharashtra 368596
8.4%
28 Andhra Pradesh 139041
3.2%
29 Karnataka 206833
4.7%
30 Goa 9696
0.2%
31 Lakshadweep (U.T.) 9344
0.2%
32 Kerala 104416
2.4%
33 Tamilnadu 219003
5%
34 Puducherry (U.T.) 16738
0.4%
35 A and N Islands (U.T.) 16327
0.4%
36 Telangana 109173
2.5%
37 Ladakh (U.T.) 10530
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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