India - Household Consumer Expenditure: NSS 50th Round, Schedule 1, July 1993 - June 1994
Reference ID | DDI-IND-MOSPI-NSSO-50Rnd-Sch1.0-1993-94 |
Year | 1993 - 1994 |
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
Aug 22, 2015
Last modified
Aug 22, 2015
Page views
627700
- Blocks 1,2,3,10,11,1
2,13_Household chara
cteristics - Block 3pt3 - Househo
ld gift records - Block 4 - Person rec
ords - Block 5 - Monthly ho
usehold expenditure
on food and non food
items - Block 6 - Household
expenditure on cloth
ing - Block 7 - Household
expenditure on footw
ear - Block 8 - Monthly ho
usehold expenditure
on misc goods and se
rvices - Block 8pt1 - Househo
ld expenditure on ed
ucation and medical
goods and services - Block 9 - Household
expenditure on durab
le goods - Block 13 - Household
expenditure on cere
mony - Block 14 - Summary o
f household expendit
ure
Variable Groups
Household type with sector
(HH_Type)
File: Blocks 1,2,3,10,11,12,13_Household characteristics
File: Blocks 1,2,3,10,11,12,13_Household characteristics
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 115354 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
10 | Invalid - rural | 2031 | 1.8% |
11 | self-employed in non-agriculture - rural | 8347 | 7.2% |
12 | agricultural labour - rural | 16786 | 14.6% |
13 | other labour - rural | 5097 | 4.4% |
14 | self-employed in agriculture - rural | 29175 | 25.3% |
19 | Others - rural | 7770 | 6.7% |
20 | Invalid - urban | 740 | 0.6% |
21 | self-employed - urban | 16273 | 14.1% |
22 | regular wage/salary earning - urban | 19846 | 17.2% |
23 | casual labour - urban | 5338 | 4.6% |
29 | Others - urban | 3951 | 3.4% |
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.
Imputation and Derivation
This variable has been derived by concatenating the variables "sector" and "household type" to enable the users to easily access information on "sector wise household type".