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    Home / Central Data Catalog / CEXP / DDI-IND-MOSPI-NSSO-HCES22-23 / variable [V291]
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
73191
Downloads
7341
  • 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 - 10 (Section 12)

Overview

Valid: 762523
Invalid: 0
Type: Discrete
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
01 Jammu & Kashmir 5379
0.7%
02 Himachal Pradesh 3448
0.5%
03 Punjab 6157
0.8%
04 Chandigarh(U.T.) 1926
0.3%
05 Uttrakhand 7830
1%
06 Haryana 14123
1.9%
07 Delhi 12480
1.6%
08 Rajasthan 27687
3.6%
09 Uttar Prdesh 100634
13.2%
10 Bihar 58849
7.7%
11 Sikkim 12320
1.6%
12 Arunachal Pradesh 23848
3.1%
13 Nagaland 7771
1%
14 Manipur 20089
2.6%
15 Mizoram 16076
2.1%
16 Tripura 32587
4.3%
17 Meghalaya 19092
2.5%
18 Assam 47215
6.2%
19 West Bengal 49346
6.5%
20 Jharkhand 16483
2.2%
21 Odisha 25299
3.3%
22 Chattisgarh 15465
2%
23 Madhya Pradesh 55377
7.3%
24 Gujarat 18185
2.4%
25 Dadra & Nagar Haveli and Daman & Diu 1389
0.2%
27 Maharashtra 44391
5.8%
28 Andhra Pradesh 15621
2%
29 Karnataka 42935
5.6%
30 Goa 694
0.1%
31 Lakshadweep (U.T.) 1367
0.2%
32 Kerala 4641
0.6%
33 Tamilnadu 25435
3.3%
34 Puducherry (U.T.) 3626
0.5%
35 A and N Islands (U.T.) 3590
0.5%
36 Telangana 19498
2.6%
37 Ladakh (U.T.) 1670
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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