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
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289707
- 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 7_Monthly household expenditure on footwear
File: Block 7_Monthly household expenditure on footwear
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 10331 Invalid: 0 |
Questions and instructions
Literal question
State
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 02 | Andhra Pradesh | 539 | |
| 03 | Assam | 345 | |
| 04 | Bihar | 400 | |
| 05 | Gujarat | 415 | |
| 06 | Haryana | 310 | |
| 07 | Himachal Pradesh | 399 | |
| 08 | Jammu & Kashmir | 228 | |
| 09 | Karnataka | 247 | |
| 10 | Kerala | 452 | |
| 11 | Madhya Pradesh | 872 | |
| 12 | Maharashtra | 786 | |
| 13 | Manipur | 311 | |
| 14 | Meghalaya | 150 | |
| 15 | Nagaland | 53 | |
| 16 | Orissa | 378 | |
| 17 | Punjab | 802 | |
| 18 | Rajasthan | 669 | |
| 19 | Sikkim | 44 | |
| 20 | Tamil Nadu | 273 | |
| 21 | Tripura | 132 | |
| 22 | Uttar Pradesh | 1320 | |
| 23 | West Bengal | 465 | |
| 24 | A & N Islands | 150 | |
| 25 | Arunachal Pradesh | 95 | |
| 26 | Chandigarh | 25 | |
| 27 | Dadra & Nagar Haveli | 16 | |
| 28 | Delhi | 129 | |
| 29 | Goa | 5 | |
| 30 | Lakshdweep | 20 | |
| 31 | Mizoram | 260 | |
| 32 | Pondicherry | 26 | |
| 33 | Daman & Diu | 15 |
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