India - Household Consumer Expenditure Survey: 64th Round, Schedule 1.0, July 2007 - June 2008

Reference ID

DDI-IND-NSSO-64-SCHEDULE-1.0

Year

Country

India

Producer(s)

National Sample Survey Office,NSSO

Sponsor(s)

Ministry of Statistics & P.i, Govenment of Indis - MOSPI -

Collection(s)

National Sample Survey

Metadata

Documentation in PDF

Created on

Aug 21, 2015

Last modified

Aug 22, 2015

Page views

288050

FOD_Sub_Region (FOD_Sub_Region)
File: Identification of Sample Household

Overview

Type: Discrete
Format: character
Width: 4

Valid cases: 50297
Invalid: 0

Categories

Value	Category	Cases
0000		3396	6.8%
0010		4	0.0%
0030		4	0.0%
0093		4	0.0%
0110	Jammu	260	0.5%
0111	Udhampur	128	0.3%
0120	Srinagar	172	0.3%
0121	Anantnag	152	0.3%
0122	Baramula	140	0.3%
0151		4	0.0%
0210	Shimla	272	0.5%
0211	Bilaspur	192	0.4%
0212	Dharamshala	208	0.4%
0213	Mandi	220	0.4%
0218		4	0.0%
0310	Jalandhar	208	0.4%
0311	Amritsar	132	0.3%
0312	Firozpur	228	0.5%
0313	Hoshiarpur	152	0.3%
0320	Ludhiana	224	0.4%
0321	Bathinda	112	0.2%
0322	Patiala	220	0.4%
0326		4	0.0%
0330		4	0.0%
0423		4	0.0%
0510	Dehradun	316	0.6%
0511	Almora	347	0.7%
0610	Chandigarh	168	0.3%
0611	Ambala	228	0.5%
0612	Bhiwani	140	0.3%
0613	Hisar	164	0.3%
0614	Karnal	200	0.4%
0615	Rohtak	224	0.4%
0710	Delhi	621	1.2%
0810	Ajmer	260	0.5%
0811	Jodhpur	360	0.7%
0812	Udaipur	360	0.7%
0820	Jaipur	502	1.0%
0821	Alwar	224	0.4%
0822	Ganganagar	190	0.4%
0823	Kota	304	0.6%
0910	Agra	459	0.9%
0911	Aligarh	287	0.6%
0912	Meerat	296	0.6%
0913		36	0.1%
0920	Allahabad	236	0.5%
0921	Azamgrah	336	0.7%
0922	Faizabad	400	0.8%
0923	Gorakgpur	332	0.7%
0924	Varanasi	416	0.8%
0930	Bareilly	280	0.6%
0931	Moradabad	296	0.6%
0932	Sitapur	288	0.6%
0933	Sharanpur	144	0.3%
0940	Lucknow	276	0.5%
0941	Fatehpur	255	0.5%
0942	Gonda	272	0.5%
0943	Jhansi	240	0.5%
0944	Kanpur	175	0.3%
1010	Muzaffarpur	528	1.0%
1011	Darbhanga	488	1.0%
1012	Motihari	480	1.0%
1013	Purnia	636	1.3%
1015		4	0.0%
1020	Gaya	632	1.3%
1021	Bhagalpur	368	0.7%
1022		364	0.7%
1110	Gangtok	572	1.1%
1210		12	0.0%
1211		4	0.0%
1310	Kohima	708	1.4%
1311	Imphal	4	0.0%
1410		20	0.0%
1412		4	0.0%
1509		4	0.0%
1510		20	0.0%
1610		60	0.1%
1611		4	0.0%
1710	Shillong	432	0.9%
1711	Tura	272	0.5%
1712	Agartala	0	0.0%
1810	Guwahati	380	0.8%
1811	Silchar	232	0.5%
1813		8	0.0%
1820	Dibrugarh	112	0.2%
1821	Jorhat	268	0.5%
1822	Tezpur	212	0.4%
1910	Barddhaman	316	0.6%
1911	Bankura	244	0.5%
1912	Chinsura	436	0.9%
1913	Medinipur	364	0.7%
1920	Kolkata	926	1.8%
1921	Howrah	224	0.4%
1930	Maldah	292	0.6%
1931	Behrampur	380	0.8%
1932	Siliguri	332	0.7%
2010	Ranchi	360	0.7%
2011	Dumka	307	0.6%
2012	Hazaribag	404	0.8%
2013	Jamshedpur	160	0.3%
2022		4	0.0%
2110	Bhubaneswar	224	0.4%
2111	Baripada	280	0.6%
2112	Behrampur	260	0.5%
2113	Cuttak	512	1.0%
2120	Sambalpur	448	0.9%
2121	Bhawanipatn	352	0.7%
2210	Raipur	351	0.7%
2211	Ambikapur	220	0.4%
2212	Bilaspur	208	0.4%
2213	Durg	172	0.3%
2215		4	0.0%
2267		4	0.0%
2310	Bhopal	232	0.5%
2311	Chhindwara	303	0.6%
2312	Khandwa	184	0.4%
2313	Indore	160	0.3%
2316		4	0.0%
2320	Gwalior	288	0.6%
2321	Ratlam	224	0.4%
2322	Shivpuri	272	0.5%
2323	Ujjain	268	0.5%
2324		4	0.0%
2330	Jabalpur	208	0.4%
2331	Rewa	380	0.8%
2332	Sagar	240	0.5%
2410	Ahmedabad	320	0.6%
2411	Bhavnagar	192	0.4%
2412	Jamnagar	124	0.2%
2413	Rajkot	184	0.4%
2414	Surendranaga	160	0.3%
2417		4	0.0%
2420	Baroda	360	0.7%
2421	Mahesana	208	0.4%
2422	Nadiad	223	0.4%
2423	Surat	224	0.4%
2424	Valsad	320	0.6%
2473		4	0.0%
2710	Aurangabad	256	0.5%
2711	Jalgaon	271	0.5%
2712	Nandel	316	0.6%
2713	Nashik	192	0.4%
2720	Mumbai	457	0.9%
2721	Thane	478	1.0%
2730	Nagpur	463	0.9%
2731	Akola	208	0.4%
2732	Amravati	223	0.4%
2740	Pune	622	1.2%
2741	Kolhapur	304	0.6%
2742	Solapur	224	0.4%
2810	Cuddapah	287	0.6%
2811	Anantapur	176	0.3%
2812	Guntur	208	0.4%
2813	Kurnool	160	0.3%
2814	Nellore	238	0.5%
2820	Hyderabad	772	1.5%
2821	Karimnagar	220	0.4%
2822	Nizamabad	192	0.4%
2823	Warangal	254	0.5%
2830	Vijayawada	368	0.7%
2831	Kakinada	208	0.4%
2832	Visakhapatnam	412	0.8%
2833	Guwahati	0	0.0%
2910	Bangalore	550	1.1%
2911	Mangalore	128	0.3%
2912	Mysore	256	0.5%
2913	Shimoga	176	0.3%
2920	Hubli	240	0.5%
2921	Belgaum	252	0.5%
2922	Bellary	336	0.7%
2923	Gulbarga	160	0.3%
2924	Panaji	0	0.0%
3010		144	0.3%
3210	Kozhikode	284	0.6%
3211	Kannur	148	0.3%
3212	Palakkad	128	0.3%
3213	Thrissur	130	0.3%
3220	Thiruvanathapuram	160	0.3%
3221	Kochi	240	0.5%
3222	Kollam	288	0.6%
3223	Kottayam	140	0.3%
3310	Coimbatore	374	0.7%
3311	Dharmapuri	112	0.2%
3312	Salem	224	0.4%
3313	Tiruchirappali	336	0.7%
3320	Chennai	400	0.8%
3321	Cuddalore	208	0.4%
3322	Vellore	228	0.5%
3323	Pondicherry	188	0.4%
3330	Madurai	256	0.5%
3331	Thanjavur	224	0.4%
3332	Tirunelveli	284	0.6%
3333	Virudhunagar	192	0.4%
3510	Port Blair	212	0.4%
4021		4	0.0%
9834		4	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.