India - Domestic Tourism Expenditure - JULY 2014 - JUNE 2015, 72 round

Reference ID

DDI-IND-MOSPI-NSSO-72Rnd-Sch21.1-July2014-June2015

Year

2014 - 2015

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 25, 2019

Page views

346763

Data Description

Data File: Block 6.2 - Particulars of expenditure (`) for all trips in last 30 days covered in block 5.2

Content	Particulars of expenditure (`) for all trips in last 365 days covered in block 5.1 were collected.
Cases	62181
Variable(s)	36

Name	Label	Question
HHID	‘Primary key - unique identifier for a household’

CentreCodeRnd	Centre-code-Round

Vill_Blk_Slno	FSU-Serial-No

Round	Round

Schedule	Schedule

Sample	Sample

Sector	Sector

State_Region	‘State-Region’

State	State

State_District	‘State-District’

Stratum	Stratum

SubStratumNo	Sub-Stratum-no

SubRound	Sub-Round

SubSample	Sub-Sample

FODSubRegion	FOD-Sub-Region

HG_SubBlkNo	Hamlet group/Sub-block no.

Second_Stratum	Second-Stage-Stratum-no

Hhold_no	Sample hhld. No.

Level	Level 13-block 6.2

b62q1	Trip serial no.

b62q701	Expenses on Clothing and garments(Rs.)

b62q702	Expenses on Processed food(Rs.)

b62q703	Expenses on Alcohol and tobacco products(Rs.)

b62q704	Expenses on Travel related consumer goods(Rs.)

b62q705	Expenses on Footwear(Rs.)

b62q706	Expenses on Toiletries(Rs.)

b62q707	Expenses on Gems & jewellery(Rs.)

b62q708	Expenses on Books/journals/magazines etc.(Rs.)

b62q710	Expenses on Memento, souvenir etc.(Rs.)

b62q719	Expenses on others

b62q700	Sub-total(7.01 to 7.19)

NSS	number of first stage units surveyed within a substratum for the sub-sample

NSC	number of first stage units surveyed within a substratum for sub-sample combined

MLT	weight or multiplier within a substratum for the sub-sample

Weight_SS	Final weight for sub-sample wise estimates

Weight_SC	Final weight for sub-sample combined estimates