India - Household Consumer Expenditure: 66th Round, Schedule 1.0_T2, July 2009 - June 2010 (Type-2)

Reference ID

DDI-IND-NSSO-66-SCHEDULE-1.0T2

Year

2009 - 2010

Country

India

Producer(s)

National Sample Survey Office,NSSO

Sponsor(s)

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

Collection(s)

National Sample Survey

Metadata

Documentation in PDF

Created on

Aug 04, 2016

Last modified

Sep 02, 2016

Page views

335804

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

Overview

Type: Discrete
Format: character
Width: 3

Valid cases: 1217060
Invalid: 0

Definition

Quantity consumption of items during last 30 days

Categories

Value	Category	Cases
360	dhoti (no.)	20616	1.7%
361	sari (no.)	72987	6.0%
362	cloth for shirt, pyjama, salwar etc (m), A	74937	6.2%
363	cloth for coat, trousers, overcoat etc (m)	56440	4.6%
364	chaddar, dupatta, wrapper shawl etc (m), A	34939	2.9%
365	lungi (no)	51072	4.2%
366	gamcha, towel, handkerchief etc (no.)	84551	6.9%
367	hosiery articles, stockings, undergarments(no.)	90814	7.5%
368	readymade garments (no.)	86172	7.1%
370	headwear (no)	14805	1.2%
371	Sweater,muffler,scarf,etc. (no)	31606	2.6%
372	Knitting wool (gm), Cotton yarn (gm.)	2650	0.2%
373	clothing others (no.)	15343	1.3%
374	second-hand clothing	8148	0.7%
379	clothing (st.)	100500	8.3%
380	Bed sheet, bed cover (no.)	46818	3.8%
381	Rug, blanket (no.)	13971	1.1%
382	Pillow, quilt, mattress (no.)	10305	0.8%
383	Cloth for upholstery, curtain, table-cloth	3439	0.3%
384	Mosquito net (no.)	8508	0.7%
385	Mats and Matting (no.)	7260	0.6%
386	Cotton (gm.)	1101	0.1%
387	Bedding : others	4370	0.4%
389	Bedding etc. (st.)	58560	4.8%
390	leather boots, shoes (pair)	34334	2.8%
391	leather sandals, chappal, etc. (pair)	47144	3.9%
392	other leather footwear (pair)	17942	1.5%
393	rubber/PVC footwear (pair)	82815	6.8%
394	other footwear (pair)	34118	2.8%
395	footwear :second-hand	1462	0.1%
399	footwear (s.t)	99333	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.