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
201683
- 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
Sub-Sample
(SubSample)
File: Block 10_Annual expenditure on education and medical (institutional) goods and services
File: Block 10_Annual expenditure on education and medical (institutional) goods and services
Overview
Type:
Discrete Format: character Width: 1 | Valid cases: 101674 Invalid: 0 |
An important feature of the NSS sampling design is that the total sample of first stage units is drawn in the form of two or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is drawn by the same
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows the margin of uncertainty associated with the combined sample estimate.
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units.
The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows the margin of uncertainty associated with the combined sample estimate.
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units.
The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.
Value | Category | Cases | |
---|---|---|---|
1 | Central sample | 51058 | 50.2% |
2 | State sample | 50616 | 49.8% |
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.