India - Household Consumer Expenditure: NSS 46th Round, Schedule 1, July 1990 - Jun1991
Reference ID | DDI-IND-MOSPI-NSSO-46Rnd-Sch1.0-1990 |
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
Mar 10, 2016
Last modified
Mar 31, 2016
Page views
240908
- 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 4_Person records
File: Block 4_Person records
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 135476 Invalid: 0 |
Questions and instructions
State
Value | Category | Cases | |
---|---|---|---|
02 | Andhra Pradesh | 9008 | 6.6% |
03 | Assam | 4876 | 3.6% |
04 | Bihar | 11221 | 8.3% |
05 | Gujarat | 5559 | 4.1% |
06 | Haryana | 2172 | 1.6% |
07 | Himachal Pradesh | 2457 | 1.8% |
08 | Jammu & Kashmir | 1426 | 1.1% |
09 | Karnataka | 6079 | 4.5% |
10 | Kerala | 4937 | 3.6% |
11 | Madhya Pradesh | 11050 | 8.2% |
12 | Maharashtra | 11583 | 8.5% |
13 | Manipur | 2350 | 1.7% |
14 | Meghalaya | 1758 | 1.3% |
15 | Nagaland | 775 | 0.6% |
16 | Orissa | 5226 | 3.9% |
17 | Punjab | 5041 | 3.7% |
18 | Rajasthan | 6151 | 4.5% |
19 | Sikkim | 830 | 0.6% |
20 | Tamil Nadu | 8315 | 6.1% |
21 | Tripura | 2222 | 1.6% |
22 | Uttar Pradesh | 17313 | 12.8% |
23 | West Bengal | 8176 | 6.0% |
24 | A & N Islands | 1147 | 0.8% |
25 | Arunachal Pradesh | 1131 | 0.8% |
26 | Chandigarh | 166 | 0.1% |
27 | Dadra & Nagar Haveli | 333 | 0.2% |
28 | Delhi | 1217 | 0.9% |
29 | Goa | 173 | 0.1% |
30 | Lakshdweep | 385 | 0.3% |
31 | Mizoram | 1861 | 1.4% |
32 | Pondicherry | 396 | 0.3% |
33 | Daman & Diu | 142 | 0.1% |
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.