India - Household Consumer Expenditure, NSS 51th Round, Schedule 1, July 1994 - June 1995

Reference ID

DDI-IND-MOSPI-NSSO-51Rnd-Sch1.0-1994

Year

1994 - 1995

Country

India

Producer(s)

National Sample Survey Office

Sponsor(s)

M/o Statistics & Programme Implementation, GOI - MOSPI -

Collection(s)

National Sample Survey

Metadata

Documentation in PDF

Created on

Jul 27, 2016

Last modified

Sep 02, 2016

Page views

368730

Block 8.1 Item Code (B8_1_q1)
File: Block 8pt1_Monthly household expenditure on education and medical goods and services

Overview

Type: Discrete
Format: character
Width: 3

Valid cases: 166722
Invalid: 0

Questions and instructions

Literal question

Block 8.1 Item Code

Categories

Value	Category	Cases
650	books, journals	14135	8.5%
651	newspapers, periodicals	5120	3.1%
652	library charges	506	0.3%
653	stationary articles	19556	11.7%
654	tuition fees (school/college)	9789	5.9%
655	private tutor	3791	2.3%
658	other educational expenses	11226	6.7%
659	education :s.t. (650-658)	26633	16.0%
660	medicine (institutional medical exp)	5061	3.0%
661	x-ray, ECG, pathological test etc. (institutional medical exp)	559	0.3%
662	doctor's/surgeon's fee (institutional medical exp)	2077	1.2%
663	nurse/midwife (institutional medical exp)	164	0.1%
664	hospital charges (institutional medical exp)	773	0.5%
665	nursing home/polyclinic charges (institutional medical exp)	127	0.1%
668	other medical expenses (institutional medical exp)	879	0.5%
669	Total institutional medical exp : s.t. (660—668)	5419	3.3%
670	medicine (non-institutional medical exp)	25227	15.1%
671	family planning appliances	176	0.1%
672	X-Ray/ECG, pathological test etc. (non-institutional medical exp)	496	0.3%
673	doctor's fees (non-institutional medical exp)	8564	5.1%
674	nurse/midwife (non-institutional medical exp)	68	0.0%
678	other medical expenses (non-institutional medical exp)	755	0.5%
679	Total non-institutional medical exp :s.t. (670-678)	25621	15.4%

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.