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    Home / Central Data Catalog / CEXP / DDI-IND-MOSPI-NSSO-HCES22-23 / variable [V5]
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
66626
Downloads
6747
  • 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 - 01(Section 1 and 1.1)

Overview

Valid: 261746
Invalid: 0
Type: Discrete
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
01 Jammu & Kashmir 3533
1.3%
02 Himachal Pradesh 2442
0.9%
03 Punjab 5830
2.2%
04 Chandigarh(U.T.) 720
0.3%
05 Uttrakhand 2773
1.1%
06 Haryana 5268
2%
07 Delhi 3236
1.2%
08 Rajasthan 13162
5%
09 Uttar Prdesh 30239
11.6%
10 Bihar 17184
6.6%
11 Sikkim 2131
0.8%
12 Arunachal Pradesh 4021
1.5%
13 Nagaland 3075
1.2%
14 Manipur 4833
1.8%
15 Mizoram 3596
1.4%
16 Tripura 5022
1.9%
17 Meghalaya 3211
1.2%
18 Assam 8562
3.3%
19 West Bengal 18136
6.9%
20 Jharkhand 6385
2.4%
21 Odisha 9185
3.5%
22 Chattisgarh 5008
1.9%
23 Madhya Pradesh 14197
5.4%
24 Gujarat 11286
4.3%
25 Dadra & Nagar Haveli and Daman & Diu 674
0.3%
27 Maharashtra 22759
8.7%
28 Andhra Pradesh 10283
3.9%
29 Karnataka 12389
4.7%
30 Goa 683
0.3%
31 Lakshadweep (U.T.) 607
0.2%
32 Kerala 7377
2.8%
33 Tamilnadu 14364
5.5%
34 Puducherry (U.T.) 1070
0.4%
35 A and N Islands (U.T.) 1000
0.4%
36 Telangana 6786
2.6%
37 Ladakh (U.T.) 719
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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