India - Household Consumer Expenditure Type-1, July 2009 - June 2010, NSS 66th Round

Reference ID

DDI-IND-NSSO-66-SCHEDULE-1.0T1

Year

2009 - 2010

Country

India

Producer(s)

National Sample Survey Office,NSSO - Ministry of Statistics & Programme Implementation, Govenment of India

Sponsor(s)

Ministry of Statistics & Programme Implementation, Govenment of Indis - MOSPI -

Collection(s)

Household Consumer Expenditure

Created on

Jan 18, 2018

Last modified

Mar 27, 2019

Page views

189425

Item Code (Item_code)
File: Consumption of clothing, bedding and footwear during last 30 and 365 days

Overview

Type: Discrete
Format: character
Width: 3

Valid cases: 1210249
Invalid: 0

Categories

Value	Category	Cases
360	dhoti (no.)	20484	1.7%
361	sari (no.)	72916	6.0%
362	cloth for shirt, pyjama, salwar etc (m), A	74838	6.2%
363	cloth for coat, trousers, overcoat etc (m)	56066	4.6%
364	chaddar, dupatta, wrapper shawl etc (m), A	34724	2.9%
365	lungi (no)	50737	4.2%
366	gamcha, towel, handkerchief etc (no.)	83744	6.9%
367	hosiery articles, stockings, undergarments(no.)	91239	7.5%
368	readymade garments (no.)	86917	7.2%
370	headwear (no)	14309	1.2%
371	Sweater,muffler,scarf,etc. (no)	30393	2.5%
372	Knitting wool (gm), Cotton yarn (gm.)	2687	0.2%
373	clothing others (no.)	15067	1.2%
374	second-hand clothing	8053	0.7%
379	clothing (st.)	100582	8.3%
380	Bed sheet, bed cover (no.)	46298	3.8%
381	Rug, blanket (no.)	12977	1.1%
382	Pillow, quilt, mattress (no.)	9401	0.8%
383	Cloth for upholstery, curtain, table-cloth	3134	0.3%
384	Mosquito net (no.)	8616	0.7%
385	Mats and Matting (no.)	6655	0.5%
386	Cotton (gm.)	1017	0.1%
387	Bedding : others	4197	0.3%
389	Bedding etc. (st.)	57147	4.7%
390	leather boots, shoes (pair)	34624	2.9%
391	leather sandals, chappal, etc. (pair)	47126	3.9%
392	other leather footwear (pair)	18298	1.5%
393	rubber/PVC footwear (pair)	82754	6.8%
394	other footwear (pair)	34143	2.8%
395	footwear :second-hand	1554	0.1%
399	footwear (s.t)	99552	8.2%

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.