India - Household Consumer Expenditure: NSS 61st Round, Schedule 1, July 2004 - June 2005
Reference ID | DDI-IND-MOSPI-NSSO-61Rnd-Sch1-July2004-June2005 |
Year | 2004 - 2005 |
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 21, 2015
Last modified
Oct 23, 2015
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569653
- Blocks 1,2 & 12_
Identification of s
ample household and
perception of househ
old regarding suffic
iency of food - Block 3 Part 1_House
hold Characteristics - Block 3 Part 2_House
hold Characteristics - Block 4_Person recor
ds - Block 5_Monthly cons
umption of food, pan
, tobacco and intoxi
cants - Block 6_Monthly cons
umption of fuel &
; light - Block 7_Consumption
of clothing - Block 8_Consumption
of footwear - Block 9_Expenditure
on education and med
ical (institutional)
goods and services - Block 10_Monthly exp
enditure on miscella
neous goods and serv
ices including medic
al (non-institutiona
l), rents and taxes - Block 11_Expenditure
for purchase and co
nstruction (includin
g repair and mainten
ance) of durable goo
ds for domestic use
Variable Groups
Sub-Sample
(SubSample)
File: Block 10_Monthly expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes
File: Block 10_Monthly expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes
Overview
Type:
Discrete Format: character Width: 1 | Valid cases: 2378390 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 | 1188103 | 50.0% |
2 | State sample | 1190287 | 50.0% |
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.