India - Household Consumer Expenditure, Jan - June 2004, NSS 60th Round
Reference ID | DDI-IND-MOSPI-NSSO-60Rnd-Sch1-Jan-June2004 |
Year | 2004 |
Country | India |
Producer(s) | National Sample Survey Office - M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI) |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) |
Created on
Jan 18, 2018
Last modified
Mar 27, 2019
Page views
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- Blocks 1,2_ Identifi
cation of sample hou
sehold - Block 3_Household Ch
aracteristics - Block 4_Person recor
ds - Block 5_Monthly hous
ehold expenditure on
cereals, pulses, mi
lk, sugar and salt - Block 6_Weekly consu
mption of edible oil
, egg, fish and meat
, vegetables, fruits
, spices, beverages
and processed food a
nd pan, tobacco and
intoxicants - Block 7_Monthly cons
umption of fuel &
; light - Block 8_Annual consu
mption of clothing - Block 9_Annual consu
mption of footwear - Block 10_Annual expe
nditure on education
and medical (instit
utional) goods and s
ervices - Block 11_Monthly exp
enditure on miscella
neous goods and serv
ices including medic
al (non-institutiona
l), rents and taxes - Block 12_Annual expe
nditure for purchase
and construction (i
ncluding repair and
maintenance) of dura
ble goods for domest
ic use
Variable Groups
Household type with sector
(HH_Type)
File: Block 3_Household Characteristics
File: Block 3_Household Characteristics
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 29631 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
11 | self-employed in non-agriculture - rural | 2286 | 7.7% |
12 | agricultural labour - rural | 2974 | 10.0% |
13 | other labour - rural | 1429 | 4.8% |
14 | self-employed in agriculture - rural | 10279 | 34.7% |
19 | Others - rural | 1991 | 6.7% |
20 | invalid | 32 | 0.1% |
21 | self-employed - urban | 3971 | 13.4% |
22 | regular wage/salary earning - urban | 4495 | 15.2% |
23 | casual labour - urban | 973 | 3.3% |
29 | Others - urban | 1201 | 4.1% |
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.
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".