India - Household Consumer Expenditure: NSS 47th Round, Schedule 1, July - December 1991
| Reference ID | DDI-IND-MOSPI-NSSO-47Rnd-Sch1.0-1991 |
| Year | 0 |
| Country | India |
| Producer(s) | National Sample Survey Office |
| Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
| Collection(s) | |
| Metadata |
Documentation in PDF
|
Created on
Jul 27, 2016
Last modified
Sep 02, 2016
Page views
253857
- Blocks 1,3,10_Househ
old Characteristics - Block 4_Person recor
ds - Block 5_Monthly hous
ehold expenditure on
food and non-food i
tems - Block 6_Monthly hous
ehold expenditure on
clothing - Block 7_Monthly hous
ehold expenditure on
footwear - Block 8_Monthly hous
ehold expenditure on
miscellaneous goods
and services - Block 9_Monthly hous
ehold expenditure on
durables
Variable Groups
State
(State)
File: Block 9_Monthly household expenditure on durables
File: Block 9_Monthly household expenditure on durables
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 6228 Invalid: 0 |
Questions and instructions
Literal question
State
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 02 | Andhra Pradesh | 292 | |
| 03 | Assam | 264 | |
| 04 | Bihar | 70 | |
| 05 | Gujarat | 197 | |
| 06 | Haryana | 220 | |
| 07 | Himachal Pradesh | 66 | |
| 08 | Jammu & Kashmir | 77 | |
| 09 | Karnataka | 137 | |
| 10 | Kerala | 140 | |
| 11 | Madhya Pradesh | 524 | |
| 12 | Maharashtra | 566 | |
| 13 | Manipur | 66 | |
| 14 | Meghalaya | 14 | |
| 15 | Nagaland | 12 | |
| 16 | Orissa | 171 | |
| 17 | Punjab | 696 | |
| 18 | Rajasthan | 218 | |
| 19 | Sikkim | 6 | |
| 20 | Tamil Nadu | 378 | |
| 21 | Tripura | 110 | |
| 22 | Uttar Pradesh | 1204 | |
| 23 | West Bengal | 475 | |
| 24 | A & N Islands | 61 | |
| 25 | Arunachal Pradesh | 87 | |
| 26 | Chandigarh | 71 | |
| 27 | Dadra & Nagar Haveli | 0 | |
| 28 | Delhi | 37 | |
| 29 | Goa | 0 | |
| 30 | Lakshdweep | 0 | |
| 31 | Mizoram | 57 | |
| 32 | Pondicherry | 9 | |
| 33 | Daman & Diu | 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.



Documentation in PDF