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    Home / Central Data Catalog / CEXP / DDI-IND-MOSPI-NSSO-HCES22-23 / variable [V397]
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
72960
Downloads
7322
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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 - 13 (Section 14)

Overview

Valid: 4500902
Invalid: 0
Type: Discrete
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
01 Jammu & Kashmir 65810
1.5%
02 Himachal Pradesh 23594
0.5%
03 Punjab 96049
2.1%
04 Chandigarh(U.T.) 16524
0.4%
05 Uttrakhand 54766
1.2%
06 Haryana 111212
2.5%
07 Delhi 84437
1.9%
08 Rajasthan 206174
4.6%
09 Uttar Prdesh 635715
14.1%
10 Bihar 317707
7.1%
11 Sikkim 46002
1%
12 Arunachal Pradesh 87372
1.9%
13 Nagaland 47156
1%
14 Manipur 75426
1.7%
15 Mizoram 64966
1.4%
16 Tripura 99652
2.2%
17 Meghalaya 54000
1.2%
18 Assam 145414
3.2%
19 West Bengal 300941
6.7%
20 Jharkhand 98553
2.2%
21 Odisha 131424
2.9%
22 Chattisgarh 70739
1.6%
23 Madhya Pradesh 292578
6.5%
24 Gujarat 198674
4.4%
25 Dadra & Nagar Haveli and Daman & Diu 9478
0.2%
27 Maharashtra 362488
8.1%
28 Andhra Pradesh 116791
2.6%
29 Karnataka 216698
4.8%
30 Goa 10223
0.2%
31 Lakshadweep (U.T.) 9397
0.2%
32 Kerala 83747
1.9%
33 Tamilnadu 208065
4.6%
34 Puducherry (U.T.) 21154
0.5%
35 A and N Islands (U.T.) 15146
0.3%
36 Telangana 110571
2.5%
37 Ladakh (U.T.) 12259
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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