India - Household Consumer Expenditure, July 2009 - June 2010, 66th Round Type -2

Reference ID

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

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 25, 2019

Page views

210597

FOD Sub-Region (FOD_Sub_Region)
File: Identification of Sample Household

Overview

Type: Discrete
Format: character
Width: 4

Valid cases: 100786
Invalid: 0

Categories

Value	Category	Cases
0000		7406	7.3%
0014		8	0.0%
0024		8	0.0%
0030		8	0.0%
0046		8	0.0%
0093		16	0.0%
0100		8	0.0%
0110	Jammu	816	0.8%
0111	Udhampur	312	0.3%
0120	Srinagar	584	0.6%
0121	Anantnag	559	0.6%
0122	Baramula	428	0.4%
0130		8	0.0%
0170		8	0.0%
0182		8	0.0%
0210	Shimla	644	0.6%
0211	Bilaspur	456	0.5%
0212	Dharamshala	510	0.5%
0213	Mandi	440	0.4%
0231		24	0.0%
0282		8	0.0%
0310	Jalandhar	487	0.5%
0311	Amritsar	320	0.3%
0312	Firozpur	608	0.6%
0313	Hoshiarpur	376	0.4%
0320	Ludhiana	566	0.6%
0321	Bathinda	248	0.2%
0322	Patiala	510	0.5%
0330		8	0.0%
0331		8	0.0%
0380		8	0.0%
0500		8	0.0%
0510	Dehradun	1010	1.0%
0511	Almora	765	0.8%
0610	Chandigarh	401	0.4%
0611	Ambala	486	0.5%
0612	Bhiwani	344	0.3%
0613	Hisar	416	0.4%
0614	Karnal	600	0.6%
0615	Rohtak	678	0.7%
0706		8	0.0%
0710	Delhi	865	0.9%
0810	Ajmer	444	0.4%
0811	Jodhpur	638	0.6%
0812	Udaipur	704	0.7%
0820	Jaipur	1006	1.0%
0821	Alwar	362	0.4%
0822	Ganganagar	364	0.4%
0823	Kota	608	0.6%
0910	Agra	879	0.9%
0911	Aligarh	512	0.5%
0912	Meerat	508	0.5%
0920	Allahabad	444	0.4%
0921	Azamgrah	584	0.6%
0922	Faizabad	447	0.4%
0923	Gorakgpur	776	0.8%
0924	Varanasi	685	0.7%
0930	Bareilly	552	0.5%
0931	Moradabad	544	0.5%
0932	Sitapur	368	0.4%
0933	Sharanpur	472	0.5%
0940	Lucknow	480	0.5%
0941	Fatehpur	447	0.4%
0942	Gonda	448	0.4%
0943	Jhansi	512	0.5%
0944	Kanpur	288	0.3%
1010	Muzaffarpur	671	0.7%
1011	Darbhanga	608	0.6%
1012	Motihari	528	0.5%
1013	Purnia	872	0.9%
1020	Gaya	919	0.9%
1021	Bhagalpur	454	0.5%
1022		512	0.5%
1050		8	0.0%
1110	Gangtok	768	0.8%
1210		32	0.0%
1211		16	0.0%
1281		8	0.0%
1310	Kohima	1024	1.0%
1311	Imphal	8	0.0%
1400		8	0.0%
1410		48	0.0%
1420		8	0.0%
1513		8	0.0%
1710	Shillong	792	0.8%
1711	Tura	480	0.5%
1712	Agartala	0	0.0%
1810	Guwahati	1192	1.2%
1811	Silchar	600	0.6%
1820	Dibrugarh	256	0.3%
1821	Jorhat	696	0.7%
1822	Tezpur	664	0.7%
1900		8	0.0%
1910	Barddhaman	536	0.5%
1911	Bankura	488	0.5%
1912	Chinsura	760	0.8%
1913	Medinipur	656	0.7%
1919		8	0.0%
1920	Kolkata	1668	1.7%
1921	Howrah	384	0.4%
1930	Maldah	600	0.6%
1931	Behrampur	608	0.6%
1932	Siliguri	608	0.6%
2010	Ranchi	824	0.8%
2011	Dumka	680	0.7%
2012	Hazaribag	847	0.8%
2013	Jamshedpur	389	0.4%
2019		8	0.0%
2021		8	0.0%
2110	Bhubaneswar	448	0.4%
2111	Baripada	479	0.5%
2112	Behrampur	480	0.5%
2113	Cuttak	1055	1.0%
2120	Sambalpur	855	0.8%
2121	Bhawanipatn	704	0.7%
2210	Raipur	760	0.8%
2211	Ambikapur	512	0.5%
2212	Bilaspur	471	0.5%
2213	Durg	480	0.5%
2222		8	0.0%
2224		8	0.0%
2310	Bhopal	509	0.5%
2311	Chhindwara	448	0.4%
2312	Khandwa	272	0.3%
2313	Indore	359	0.4%
2320	Gwalior	400	0.4%
2321	Ratlam	368	0.4%
2322	Shivpuri	454	0.5%
2323	Ujjain	456	0.5%
2330	Jabalpur	377	0.4%
2331	Rewa	608	0.6%
2332	Sagar	416	0.4%
2410	Ahmedabad	476	0.5%
2411	Bhavnagar	288	0.3%
2412	Jamnagar	224	0.2%
2413	Rajkot	384	0.4%
2414	Surendranaga	183	0.2%
2420	Baroda	669	0.7%
2421	Mahesana	318	0.3%
2422	Nadiad	338	0.3%
2423	Surat	370	0.4%
2424	Valsad	480	0.5%
2620		8	0.0%
2710	Aurangabad	576	0.6%
2711	Jalgaon	576	0.6%
2712	Nandel	640	0.6%
2713	Nashik	384	0.4%
2720	Mumbai	932	0.9%
2721	Thane	735	0.7%
2722		7	0.0%
2730	Nagpur	952	0.9%
2731	Akola	416	0.4%
2732	Amravati	448	0.4%
2740	Pune	1274	1.3%
2741	Kolhapur	608	0.6%
2742	Solapur	440	0.4%
2790		8	0.0%
2810	Cuddapah	616	0.6%
2811	Anantapur	319	0.3%
2812	Guntur	367	0.4%
2813	Kurnool	312	0.3%
2814	Nellore	511	0.5%
2820	Hyderabad	1441	1.4%
2821	Karimnagar	512	0.5%
2822	Nizamabad	399	0.4%
2823	Warangal	518	0.5%
2830	Vijayawada	672	0.7%
2831	Kakinada	416	0.4%
2832	Visakhapatnam	800	0.8%
2833	Guwahati	0	0.0%
2874		8	0.0%
2910	Bangalore	990	1.0%
2911	Mangalore	351	0.3%
2912	Mysore	416	0.4%
2913	Shimoga	368	0.4%
2920	Hubli	640	0.6%
2921	Belgaum	471	0.5%
2922	Bellary	511	0.5%
2923	Gulbarga	320	0.3%
2924	Panaji	8	0.0%
3010		447	0.4%
3210	Kozhikode	976	1.0%
3211	Kannur	584	0.6%
3212	Palakkad	344	0.3%
3213	Thrissur	454	0.5%
3220	Thiruvanathapuram	477	0.5%
3221	Kochi	616	0.6%
3222	Kollam	800	0.8%
3223	Kottayam	415	0.4%
3310	Coimbatore	848	0.8%
3311	Dharmapuri	288	0.3%
3312	Salem	480	0.5%
3313	Tiruchirappali	735	0.7%
3320	Chennai	960	1.0%
3321	Cuddalore	480	0.5%
3322	Vellore	552	0.5%
3323	Pondicherry	512	0.5%
3330	Madurai	608	0.6%
3331	Thanjavur	512	0.5%
3332	Tirunelveli	664	0.7%
3333	Virudhunagar	504	0.5%
3510	Port Blair	560	0.6%
7710		8	0.0%
8713		8	0.0%
9101		8	0.0%

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.