India - Domestic Tourism: NSS 65th Round, Schedule 21.1, July 2008 - June 2009
Reference ID | DDI-IND-MOSPI-NSSO-65Rnd-Sch21pt1-2008-2009 |
Year | 2008 - 2009 |
Country | India |
Producer(s) | National Sample Survey Office |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) | |
Metadata |
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Created on
Aug 04, 2016
Last modified
Sep 02, 2016
Page views
536753
- Blocks 1,2_Identific
ation of sample hous
ehold & particul
ars of field operati
ons - Block 3_Household ch
aracteristics - Block 4_Demographic
and other particular
s of household membe
rs - Block 5pt1_Particula
rs of overnight trip
s during last 30 day
s - Block 5pt2_Particula
rs of same-day trips
during last 30 days - Block 6pt1_Particula
rs of accomodation e
xpenditure on overni
ght trips during las
t 30 days - Block 6pt1_Particula
rs of food & dri
nk and transport exp
enditure on overnigh
t trips during last
30 days - Block 6pt1_Particula
rs of shopping expen
diture on overnight
trips during last 30
days - Block 6pt1_Particula
rs of recreational e
tc - Block 6pt1_Particula
rs of other expendit
ure on overnight tri
ps during last 30 da
ys - Block 6pt2_Particula
rs of accomodation e
xpenditure on same-d
ay trips during last
30 days - Block 6pt2_Particula
rs of food & dri
nk and transport exp
enditure on same-day
trips during last 3
0 days - Block 6pt2_Particula
rs of shopping expen
diture on same-day t
rips during last 30
days - Block 6pt2_Particula
rs of recreational e
tc - Block 6pt2_Particula
rs of other expendit
ure on same-day trip
s during last 30 day
s
Variable Groups
Multiplier - Sub sample
(Wgt_SubSample)
File: Blocks 1,2_Identification of sample household & particulars of field operations
File: Blocks 1,2_Identification of sample household & particulars of field operations
Overview
Type:
Continuous Format: numeric Width: 9 Decimals: 2 Range: 0.83-507253.5 | Valid cases: 153308 Invalid: 0 Minimum: 0.8 Maximum: 507253.5 Mean: 2930.2 Standard deviation: 6322.9 |
Imputation and Derivation
Derivation
For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
Wgt_SubSample = MLT/100
Wgt_SubSample = MLT/100