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    Home / Central Data Catalog / CEXP / DDI-IND-MOSPI-NSS-HCES23-24 / variable [V165]
CEXP

Household Consumption Expenditure Survey: 2023-24

India
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Reference ID
DDI-IND-MOSPI-NSS-HCES23-24
Producer(s)
NSS
Collections
Household Consumption Expenditure
Metadata
DDI/XML JSON
Created on
Apr 22, 2025
Last modified
Apr 22, 2025
Page views
29210
Downloads
3225
  • Study Description
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  • Data files
  • 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 - 06 (Section 7)

Overview

Valid: 1757264
Invalid: 0
Type: Discrete
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
01 Jammu & Kashmir 21798
1.2%
02 Himachal Pradesh 16839
1%
03 Punjab 39962
2.3%
04 Chandigarh(U.T.) 5975
0.3%
05 Uttrakhand 19261
1.1%
06 Haryana 39813
2.3%
07 Delhi 29822
1.7%
08 Rajasthan 75060
4.3%
09 Uttar Prdesh 218488
12.4%
10 Bihar 113362
6.5%
11 Sikkim 21365
1.2%
12 Arunachal Pradesh 34083
1.9%
13 Nagaland 18882
1.1%
14 Manipur 28997
1.7%
15 Mizoram 23689
1.3%
16 Tripura 39376
2.2%
17 Meghalaya 23295
1.3%
18 Assam 63435
3.6%
19 West Bengal 121785
6.9%
20 Jharkhand 38140
2.2%
21 Odisha 59287
3.4%
22 Chattisgarh 28727
1.6%
23 Madhya Pradesh 96712
5.5%
24 Gujarat 72997
4.2%
25 Dadra & Nagar Haveli and Daman & Diu 4208
0.2%
27 Maharashtra 141964
8.1%
28 Andhra Pradesh 54918
3.1%
29 Karnataka 87917
5%
30 Goa 6776
0.4%
31 Lakshadweep (U.T.) 3781
0.2%
32 Kerala 44759
2.5%
33 Tamilnadu 99524
5.7%
34 Puducherry (U.T.) 7757
0.4%
35 A and N Islands (U.T.) 6678
0.4%
36 Telangana 42795
2.4%
37 Ladakh (U.T.) 5037
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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