Household Consumption Expenditure Survey 2023-2024
India, 2023 - 2024
Get MicrodataCreated on
Jun 10, 2025
Last modified
Jun 10, 2025
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- Data files
- LEVEL_01_Section_1_1-1.sav
- LEVEL_02_Section_3.sav
- LEVEL_03.sav
- LEVEL_04_Section_4-1.sav
- LEVEL_05_Sec_5_6.sav
- LEVEL_06_Section_7.sav
- LEVEL_07_Section_4-2.sav
- LEVEL_08_Section_8-1.sav
- LEVEL_09_Section_9_10_11.sav
- LEVEL_10_Section_12.sav
- LEVEL_11_Section_4-3.sav
- LEVEL_12_Section_13.sav
- LEVEL_13_Section_14.sav
- LEVEL_14_Section_A1_B1_C1.sav
- LEVEL_15_Section_1-1_A2_B2_C2.sav
State (State)
Data file: LEVEL_07_Section_4-2.sav
Overview
Valid:
261953
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
15
End:
16
Width:
2
Range:
-
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Jammu & Kashmir | 3582 |
1.4%
|
| 2 | Himachal Pradesh | 2406 |
0.9%
|
| 3 | Punjab | 5971 |
2.3%
|
| 4 | Chandigarh(U.T.) | 718 |
0.3%
|
| 5 | Uttrakhand | 2749 |
1%
|
| 6 | Haryana | 5263 |
2%
|
| 7 | Delhi | 3359 |
1.3%
|
| 8 | Rajasthan | 13147 |
5%
|
| 9 | Uttar Prdesh | 30308 |
11.6%
|
| 10 | Bihar | 17255 |
6.6%
|
| 11 | Sikkim | 2158 |
0.8%
|
| 12 | Arunachal Pradesh | 4073 |
1.6%
|
| 13 | Nagaland | 3042 |
1.2%
|
| 14 | Manipur | 4244 |
1.6%
|
| 15 | Mizoram | 3600 |
1.4%
|
| 16 | Tripura | 5040 |
1.9%
|
| 17 | Meghalaya | 3216 |
1.2%
|
| 18 | Assam | 8572 |
3.3%
|
| 19 | West Bengal | 18120 |
6.9%
|
| 20 | Jharkhand | 6331 |
2.4%
|
| 21 | Odisha | 9213 |
3.5%
|
| 22 | Chattisgarh | 4968 |
1.9%
|
| 23 | Madhya Pradesh | 14105 |
5.4%
|
| 24 | Gujarat | 11271 |
4.3%
|
| 25 | Dadra & Nagar Haveli and Daman & Diu | 698 |
0.3%
|
| 27 | Maharashtra | 22746 |
8.7%
|
| 28 | Andhra Pradesh | 10465 |
4%
|
| 29 | Karnataka | 12533 |
4.8%
|
| 30 | Goa | 720 |
0.3%
|
| 31 | Lakshadweep (U.T.) | 605 |
0.2%
|
| 32 | Kerala | 7400 |
2.8%
|
| 33 | Tamilnadu | 14492 |
5.5%
|
| 34 | Puducherry (U.T.) | 1077 |
0.4%
|
| 35 | A and N Islands (U.T.) | 1000 |
0.4%
|
| 36 | Telangana | 6786 |
2.6%
|
| 37 | Ladakh (U.T.) | 720 |
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.