India - Household Consumer Expenditure, NSS 63rd Round : July 2006 - June 2007, NSS 63rd Round

Reference ID

DDI-IND-MOSPI-NSSO-63Rnd-Sch1.0-2006-07

Year

2006 - 2007

Country

India

Producer(s)

National Sample Survey Office - M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI)

Sponsor(s)

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

Collection(s)

Household Consumer Expenditure

Created on

Jan 18, 2018

Last modified

Mar 27, 2019

Page views

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Unique identifier for a district (St_District)
File: Blocks 1,2_Identification of Sample Household

Overview

Type: Discrete
Format: character
Width: 4

Valid cases: 63729
Invalid: 0

Categories

Value	Category	Cases
0101	Kupwara	40	0.1%
0102	Baramula	110	0.2%
0103	Srinagar	180	0.3%
0104	Badgam	80	0.1%
0105	Pulwama	84	0.1%
0106	Anantnag	132	0.2%
0107	Leh* Ladakh	0	0.0%
0108	Kargil*	0	0.0%
0109	Doda	64	0.1%
0110	Udhampur	104	0.2%
0111	Punch	0	0.0%
0112	Rajauri	0	0.0%
0113	Jammu	244	0.4%
0114	Kathua	80	0.1%
0201	Chamba	76	0.1%
0202	Kangra	192	0.3%
0203	Lahul & Spiti	24	0.0%
0204	Kullu	64	0.1%
0205	Mandi	151	0.2%
0206	Hamirpur	88	0.1%
0207	Una	104	0.2%
0208	Bilaspur	64	0.1%
0209	Solan	130	0.2%
0210	Sirmaur	103	0.2%
0211	Shimla	176	0.3%
0212	Kinnaur	24	0.0%
0301	Gurdaspur	108	0.2%
0302	Amritsar	208	0.3%
0303	Kapurthala	56	0.1%
0304	Jalandhar	140	0.2%
0305	Hoshiarpur	80	0.1%
0306	Nawanshahr	40	0.1%
0307	Rupnagar	62	0.1%
0308	Fatehgarh Sahib	40	0.1%
0309	Ludhiana	218	0.3%
0310	Moga	56	0.1%
0311	Firozpur	104	0.2%
0312	Muktsar	56	0.1%
0313	Faridkot	56	0.1%
0314	Bathinda	92	0.1%
0315	Mansa	40	0.1%
0316	Sangrur	112	0.2%
0317	Patiala	116	0.2%
0401	Chandigarh	182	0.3%
0501	Uttarkashi	28	0.0%
0502	Chamoli	22	0.0%
0503	Rudraprayag	40	0.1%
0504	Tehri Garhwal	22	0.0%
0505	Dehradun	108	0.2%
0506	Garhwal	40	0.1%
0507	Pithoragarh	40	0.1%
0508	Champawat	40	0.1%
0509	Almora	40	0.1%
0510	Bageshwar	40	0.1%
0511	Nainital	56	0.1%
0512	Udham Singh Nagar	72	0.1%
0513	Hardwar	68	0.1%
0601	Panchkula	34	0.1%
0602	Ambala	64	0.1%
0603	Yamunanagar	68	0.1%
0604	Kurukshetra	39	0.1%
0605	Kaithal	40	0.1%
0606	Karnal	72	0.1%
0607	Panipat	72	0.1%
0608	Sonipat	96	0.2%
0609	Jind	84	0.1%
0610	Fatehabad	44	0.1%
0611	Sirsa	56	0.1%
0612	Hisar	92	0.1%
0613	Bhiwani	80	0.1%
0614	Rohtak	64	0.1%
0615	Jhajjar	44	0.1%
0616	Mahendragarh	48	0.1%
0617	Rewari	40	0.1%
0618	Gurgaon	96	0.2%
0619	Faridabad	188	0.3%
0701	North West	200	0.3%
0702	North	0	0.0%
0703	North East	78	0.1%
0704	East	12	0.0%
0705	New Delhi	0	0.0%
0706	Central	0	0.0%
0707	West	28	0.0%
0708	South West	82	0.1%
0709	South	67	0.1%
0710		1149	1.8%
0801	Ganganagar	96	0.2%
0802	Hanumangarh	80	0.1%
0803	Bikaner	96	0.2%
0804	Churu	120	0.2%
0805	Jhunjhunun	104	0.2%
0806	Alwar	132	0.2%
0807	Bharatpur	104	0.2%
0808	Dhaulpur	39	0.1%
0809	Karauli	64	0.1%
0810	Sawai Madhopur	68	0.1%
0811	Dausa	68	0.1%
0812	Jaipur	297	0.5%
0813	Sikar	119	0.2%
0814	Nagaur	124	0.2%
0815	Jodhpur	120	0.2%
0816	Jaisalmer	39	0.1%
0817	Barmer	88	0.1%
0818	Jalor	64	0.1%
0819	Sirohi	40	0.1%
0820	Pali	110	0.2%
0821	Ajmer	100	0.2%
0822	Tonk	68	0.1%
0823	Bundi	44	0.1%
0824	Bhilwara	104	0.2%
0825	Rajsamand	68	0.1%
0826	Udaipur	116	0.2%
0827	Dungarpur	68	0.1%
0828	Banswara	88	0.1%
0829	Chittaurgarh	108	0.2%
0830	Kota	80	0.1%
0831	Baran	72	0.1%
0832	Jhalawar	68	0.1%
0901	Saharanpur	107	0.2%
0902	Muzaffarnagar	115	0.2%
0903	Bijnor	108	0.2%
0904	Moradabad	136	0.2%
0905	Rampur	72	0.1%
0906	J Phule Nagar	56	0.1%
0907	Meerut	152	0.2%
0908	Baghpat	44	0.1%
0909	Ghaziabad	148	0.2%
0910	G. Buddha Nagar	72	0.1%
0911	Bulandshahr	104	0.2%
0912	Aligarh	112	0.2%
0913	Hathras	40	0.1%
0914	Mathura	72	0.1%
0915	Agra	152	0.2%
0916	Firozabad	80	0.1%
0917	Etah	96	0.2%
0918	Mainpuri	40	0.1%
0919	Budaun	96	0.2%
0920	Bareilly	144	0.2%
0921	Pilibhit	56	0.1%
0922	Shahjahanpur	68	0.1%
0923	Kheri	80	0.1%
0924	Sitapur	92	0.1%
0925	Hardoi	79	0.1%
0926	Unnao	84	0.1%
0927	Lucknow	210	0.3%
0928	Rae Bareli	64	0.1%
0929	Farrukhabad	60	0.1%
0930	Kannauj	40	0.1%
0931	Etawah	56	0.1%
0932	Auraiya	40	0.1%
0933	Kanpur Dehat	40	0.1%
0934	Kanpur Nagar	239	0.4%
0935	Jalaun	56	0.1%
0936	Jhansi	80	0.1%
0937	Lalitpur	44	0.1%
0938	Hamirpur	40	0.1%
0939	Mahoba	40	0.1%
0940	Banda	40	0.1%
0941	Chitrakoot	40	0.1%
0942	Fatehpur	40	0.1%
0943	Pratapgarh	64	0.1%
0944	Kaushambi	40	0.1%
0945	Allahabad	140	0.2%
0946	Barabanki	64	0.1%
0947	Faizabad	40	0.1%
0948	Ambedkar Nag.	40	0.1%
0949	Sultanpur	64	0.1%
0950	Bahraich	64	0.1%
0951	Shrawasti	39	0.1%
0952	Balrampur	40	0.1%
0953	Gonda	64	0.1%
0954	Siddharthnagar	40	0.1%
0955	Basti	40	0.1%
0956	S. Kabir Nagar	40	0.1%
0957	Maharajganj	40	0.1%
0958	Gorakhpur	96	0.2%
0959	Kushinagar	64	0.1%
0960	Deoria	64	0.1%
0961	Azamgarh	80	0.1%
0962	Mau	56	0.1%
0963	Ballia	64	0.1%
0964	Jaunpur	64	0.1%
0965	Ghazipur	64	0.1%
0966	Chandauli	35	0.1%
0967	Varanasi	136	0.2%
0968	S.R.Nagar ( Bhadohi )	40	0.1%
0969	Mirzapur	40	0.1%
0970	Sonbhadra	40	0.1%
1001	Champaran (W)	80	0.1%
1002	Champaran (E)	104	0.2%
1003	Sheohar	34	0.1%
1004	Sitamarhi	64	0.1%
1005	Madhubani	64	0.1%
1006	Supaul	40	0.1%
1007	Araria	64	0.1%
1008	Kishanganj	40	0.1%
1009	Purnia	64	0.1%
1010	Katihar	68	0.1%
1011	Madhepura	40	0.1%
1012	Saharsa	40	0.1%
1013	Darbhanga	80	0.1%
1014	Muzaffarpur	80	0.1%
1015	Gopalganj	64	0.1%
1016	Siwan	64	0.1%
1017	Saran	80	0.1%
1018	Vaishali	64	0.1%
1019	Samastipur	64	0.1%
1020	Begusarai	64	0.1%
1021	Khagaria	40	0.1%
1022	Bhagalpur	90	0.1%
1023	Banka	40	0.1%
1024	Munger	56	0.1%
1025	Lakhisarai	40	0.1%
1026	Sheikhpura	34	0.1%
1027	Nalanda	80	0.1%
1028	Patna	256	0.4%
1029	Bhojpur	80	0.1%
1030	Buxar	40	0.1%
1031	Kaimur Bhabua	40	0.1%
1032	Rohtas	80	0.1%
1033	Jehanabad	40	0.1%
1034	Aurangabad	64	0.1%
1035	Gaya	100	0.2%
1036	Nawada	40	0.1%
1037	Jamui	40	0.1%
1101	North ( Mongam )	32	0.1%
1102	West ( Gyalshing )	32	0.1%
1103	South ( Nimachai )	64	0.1%
1104	East ( Gangtok )	128	0.2%
1201	Tawang	40	0.1%
1202	West Kameng	40	0.1%
1203	East Kameng	28	0.0%
1204	Papum Pare	58	0.1%
1205	Lower Subansiri	58	0.1%
1206	Upper Subansiri	28	0.0%
1207	West Siang	44	0.1%
1208	East Siang	40	0.1%
1209	Upper Siang	24	0.0%
1210	Dibang Valley	39	0.1%
1211	Lohit	68	0.1%
1212	Changlang	64	0.1%
1213	Tirap	40	0.1%
1301	Mon	40	0.1%
1302	Tuensang	56	0.1%
1303	Mokokchung	56	0.1%
1304	Zunheboto	40	0.1%
1305	Wokha	56	0.1%
1306	Dimapur	88	0.1%
1307	Kohima	76	0.1%
1308	Phek	40	0.1%
1401	Senapati	48	0.1%
1402	Tamenglong	48	0.1%
1403	Churachandpur	95	0.1%
1404	Bishnupur	80	0.1%
1405	Thoubal	148	0.2%
1406	Imphal West	148	0.2%
1407	Imphal East	144	0.2%
1408	Ukhrul	48	0.1%
1409	Chandel	64	0.1%
1501	Mamit	40	0.1%
1502	Kolasib	56	0.1%
1503	Aizwal	216	0.3%
1504	Champhai	68	0.1%
1505	Serchip	56	0.1%
1506	Lunglei	104	0.2%
1507	Lawngtlai	24	0.0%
1508	Saiha	40	0.1%
1601	West Tripura	544	0.9%
1602	South Tripura	240	0.4%
1603	Dhalai	88	0.1%
1604	North Tripura	188	0.3%
1701	West Garo Hills	104	0.2%
1702	East Garo Hills	72	0.1%
1703	South Garo Hills	40	0.1%
1704	West Khasi Hills	92	0.1%
1705	Ri Bhoi	52	0.1%
1706	East Khasi Hills	176	0.3%
1707	Jaintia Hills	88	0.1%
1801	Kokrajhar	64	0.1%
1802	Dhubri	128	0.2%
1803	Goalpara	64	0.1%
1804	Bongaigaon	64	0.1%
1805	Barpeta	112	0.2%
1806	Kamrup	177	0.3%
1807	Nalbari	88	0.1%
1808	Darrang	112	0.2%
1809	Marigaon	64	0.1%
1810	Nagaon	140	0.2%
1811	Sonitpur	116	0.2%
1812	Lakhimpur	64	0.1%
1813	Dhemaji	68	0.1%
1814	Tinsukia	108	0.2%
1815	Dibrugarh	104	0.2%
1816	Sibsagar	88	0.1%
1817	Jorhat	72	0.1%
1818	Golaghat	96	0.2%
1819	Karbi Anglong	64	0.1%
1820	North Cachar Hills	40	0.1%
1821	Cachar	104	0.2%
1822	Karimganj	88	0.1%
1823	HaiLakandi	64	0.1%
1901	Darjiling	128	0.2%
1902	Jalpaiguri	236	0.4%
1903	Koch Bihar	156	0.2%
1904	Uttar Dinajpur	152	0.2%
1905	Dakshin Dinajpur	104	0.2%
1906	Maldah	200	0.3%
1907	Murshidabad	376	0.6%
1908	Birbhum	176	0.3%
1909	Barddhaman	544	0.9%
1910	Nadia	296	0.5%
1911	North 24-Parganas	732	1.1%
1912	Hugli	335	0.5%
1913	Bankura	200	0.3%
1914	Puruliya	160	0.3%
1915	Medinipur	560	0.9%
1916	Howrah	360	0.6%
1917	Kolkata	504	0.8%
1918	South 24-Parganas	432	0.7%
2001	Garhwa	44	0.1%
2002	Palamu	64	0.1%
2003	Chatra	40	0.1%
2004	Hazaribag	108	0.2%
2005	Kodarma	40	0.1%
2006	Giridih	72	0.1%
2007	Deoghar	40	0.1%
2008	Godda	40	0.1%
2009	Sahibganj	40	0.1%
2010	Pakaur	40	0.1%
2011	Dumka	64	0.1%
2012	Dhanbad	112	0.2%
2013	Bokaro	100	0.2%
2014	Ranchi	124	0.2%
2015	Lohardaga	40	0.1%
2016	Gumla	40	0.1%
2017	Singhbhum (W)	96	0.2%
2018	Singhbhum (E)	112	0.2%
2101	Bargarh	88	0.1%
2102	Jharsuguda	56	0.1%
2103	Sambalpur	80	0.1%
2104	Debagarh	40	0.1%
2105	Sundargarh	132	0.2%
2106	Kendujhar	122	0.2%
2107	Mayurbhanj	112	0.2%
2108	Baleshwar	122	0.2%
2109	Bhadrak	88	0.1%
2110	Kendrapara	88	0.1%
2111	Jagatsinghapur	88	0.1%
2112	Cuttack	152	0.2%
2113	Jajapur	116	0.2%
2114	Dhenkanal	88	0.1%
2115	Anugul	104	0.2%
2116	Nayagarh	64	0.1%
2117	Khordha	124	0.2%
2118	Puri	104	0.2%
2119	Ganjam	165	0.3%
2120	Gajapati	40	0.1%
2121	Kandhamal ( Phoolbani )	64	0.1%
2122	Baudh	40	0.1%
2123	Sonapur	40	0.1%
2124	Balangir	88	0.1%
2125	Nuapada	40	0.1%
2126	Kalahandi	88	0.1%
2127	Rayagada	64	0.1%
2128	Nabarangapur	88	0.1%
2129	Koraput	103	0.2%
2130	Malkangiri	40	0.1%
2201	Koriya	56	0.1%
2202	Surguja	96	0.2%
2203	Jashpur	40	0.1%
2204	Raigarh	58	0.1%
2205	Korba	92	0.1%
2206	Janjgir-Champa	64	0.1%
2207	Bilaspur	148	0.2%
2208	Kawardha	40	0.1%
2209	Rajnandgaon	80	0.1%
2210	Durg	176	0.3%
2211	Raipur	192	0.3%
2212	Mahasamund	64	0.1%
2213	Dhamtari	40	0.1%
2214	Kanker	40	0.1%
2215	Bastar	70	0.1%
2216	Dantewada	26	0.0%
2301	Sheopur	40	0.1%
2302	Morena	56	0.1%
2303	Bhind	56	0.1%
2304	Gwalior	88	0.1%
2305	Datia	40	0.1%
2306	Shivpuri	56	0.1%
2307	Guna	56	0.1%
2308	Tikamgarh	40	0.1%
2309	Chhatarpur	56	0.1%
2310	Panna	40	0.1%
2311	Sagar	64	0.1%
2312	Damoh	40	0.1%
2313	Satna	56	0.1%
2314	Rewa	80	0.1%
2315	Umaria	40	0.1%
2316	Shahdol	60	0.1%
2317	Sidhi	60	0.1%
2318	Neemuch	44	0.1%
2319	Mandsaur	56	0.1%
2320	Ratlam	56	0.1%
2321	Ujjain	80	0.1%
2322	Shajapur	56	0.1%
2323	Dewas	56	0.1%
2324	Jhabua	48	0.1%
2325	Dhar	59	0.1%
2326	Indore	185	0.3%
2327	W. Nimar	56	0.1%
2328	Barwani	40	0.1%
2329	E. Nimar	76	0.1%
2330	Rajgarh	56	0.1%
2331	Vidisha	50	0.1%
2332	Bhopal	165	0.3%
2333	Sehore	40	0.1%
2334	Raisen	44	0.1%
2335	Betul	60	0.1%
2336	Harda	40	0.1%
2337	Hoshangabad	56	0.1%
2338	Katni	56	0.1%
2339	Jabalpur	83	0.1%
2340	Narsimhapur	40	0.1%
2341	Dindori	40	0.1%
2342	Mandla	40	0.1%
2343	Chhindwara	80	0.1%
2344	Seoni	40	0.1%
2345	Balaghat	48	0.1%
2401	Kachchh	92	0.1%
2402	Bans Kantha	88	0.1%
2403	Patan	40	0.1%
2404	Mahesana	80	0.1%
2405	Sabar Kantha	64	0.1%
2406	Gandhinagar	72	0.1%
2407	Ahmedabad	359	0.6%
2408	Surendranagar	80	0.1%
2409	Rajkot	148	0.2%
2410	Jamnagar	108	0.2%
2411	Porbandar	40	0.1%
2412	Junagadh	104	0.2%
2413	Amreli	80	0.1%
2414	Bhavnagar	112	0.2%
2415	Anand	100	0.2%
2416	Kheda	80	0.1%
2417	Panch Mahals	64	0.1%
2418	Dohad	64	0.1%
2419	Vadodara	224	0.4%
2420	Narmada	40	0.1%
2421	Bharuch	80	0.1%
2422	Surat	279	0.4%
2423	The Dangs	24	0.0%
2424	Navsari	60	0.1%
2425	Valsad	88	0.1%
2501	Diu	28	0.0%
2502	Daman	92	0.1%
2601	Dadra and Nagar Havelira	131	0.2%
2701	Nandurbar	68	0.1%
2702	Dhule	96	0.2%
2703	Jalgaon	144	0.2%
2704	Buldana	96	0.2%
2705	Akola	84	0.1%
2706	Washim	40	0.1%
2707	Amravati	120	0.2%
2708	Wardha	60	0.1%
2709	Nagpur	262	0.4%
2710	Bhandara	40	0.1%
2711	Gondiya	40	0.1%
2712	Gadchiroli	39	0.1%
2713	Chandrapur	112	0.2%
2714	Yavatmal	120	0.2%
2715	Nanded	130	0.2%
2716	Hingoli	38	0.1%
2717	Parbhani	64	0.1%
2718	Jalna	80	0.1%
2719	Aurangabad	124	0.2%
2720	Nashik	272	0.4%
2721	Thane	539	0.8%
2722	Mumbai Suburban	866	1.4%
2723	Mumbai	0	0.0%
2724	Raigarh	96	0.2%
2725	Pune	441	0.7%
2726	Ahmadnagar	191	0.3%
2727	Bid	80	0.1%
2728	Latur	82	0.1%
2729	Osmanabad	64	0.1%
2730	Solapur	156	0.2%
2731	Satara	104	0.2%
2732	Ratnagiri	64	0.1%
2733	Sindhudurg	44	0.1%
2734	Kolhapur	152	0.2%
2735	Sangli	132	0.2%
2801	Adilabad	188	0.3%
2802	Nizamabad	167	0.3%
2803	Karimnagar	248	0.4%
2804	Medak	204	0.3%
2805	Hyderabad	400	0.6%
2806	Rangareddi	291	0.5%
2807	Mahbubnagar	239	0.4%
2808	Nalgonda	224	0.4%
2809	Warangal	236	0.4%
2810	Khammam	178	0.3%
2811	Srikakulam	176	0.3%
2812	Vizianagaram	180	0.3%
2813	Visakhapatnam	314	0.5%
2814	East Godavari	312	0.5%
2815	West Godavari	272	0.4%
2816	Krishna	336	0.5%
2817	Guntur	320	0.5%
2818	Prakasam	204	0.3%
2819	Nellore	192	0.3%
2820	Cuddapah	188	0.3%
2821	Kurnool	254	0.4%
2822	Anantapur	256	0.4%
2823	Chittoor	256	0.4%
2901	Belgaum	196	0.3%
2902	Bagalkot	96	0.2%
2903	Bijapur	96	0.2%
2904	Gulbarga	159	0.2%
2905	Bidar	84	0.1%
2906	Raichur	96	0.2%
2907	Koppal	68	0.1%
2908	Gadag	56	0.1%
2909	Dharwad	88	0.1%
2910	Uttara Kannada	84	0.1%
2911	Haveri	84	0.1%
2912	Bellary	116	0.2%
2913	Chitradurga	80	0.1%
2914	Davanagere	96	0.2%
2915	Shimoga	108	0.2%
2916	Udupi	64	0.1%
2917	Chikmagalur	64	0.1%
2918	Tumkur	116	0.2%
2919	Kolar	128	0.2%
2920	Bangalore	462	0.7%
2921	Bangalore ( Rural )	116	0.2%
2922	Mandya	108	0.2%
2923	Hassan	84	0.1%
2924	Dakshina Kannada	112	0.2%
2925	Kodagu	48	0.1%
2926	Mysore	140	0.2%
2927	Chamarajanagar	64	0.1%
3001	North Goa	95	0.1%
3002	South Goa	96	0.2%
3101	Lakshadweepshadweep	64	0.1%
3201	Kasaragod	128	0.2%
3202	Kannur	178	0.3%
3203	Wayanad	88	0.1%
3204	Kozhikode	225	0.4%
3205	Malappuram	368	0.6%
3206	Palakkad	266	0.4%
3207	Thrissur	279	0.4%
3208	Ernakulam	316	0.5%
3209	Idukki	136	0.2%
3210	Kottayam	200	0.3%
3211	Alappuzha	224	0.4%
3212	Pathanamthitta	136	0.2%
3213	Kollam	264	0.4%
3214	Thiruvananthapuram	324	0.5%
3301	Thiruvallur	226	0.4%
3302	Chennai	347	0.5%
3303	Kancheepuram	260	0.4%
3304	Vellore	256	0.4%
3305	Dharmapuri	216	0.3%
3306	Tiruvanamalai	176	0.3%
3307	Viluppuram	216	0.3%
3308	Salem	240	0.4%
3309	Namakkal	136	0.2%
3310	Erode	216	0.3%
3311	The Nilgiris	72	0.1%
3312	Coimbatore	356	0.6%
3313	Dindigul	160	0.3%
3314	Karur	80	0.1%
3315	Tiruchirappalli	188	0.3%
3316	Perambalur	48	0.1%
3317	Ariyalur	72	0.1%
3318	Cuddalore	196	0.3%
3319	Nagapattinam	128	0.2%
3320	Thiruvarur	104	0.2%
3321	Thanjavur	176	0.3%
3322	Pudukkottai	136	0.2%
3323	Sivaganga	108	0.2%
3324	Madurai	208	0.3%
3325	Theni	112	0.2%
3326	Virudhunagar	148	0.2%
3327	Ramanathapuram	112	0.2%
3328	Toothukudi	132	0.2%
3329	Tirunelveli	256	0.4%
3330	Kanniyakumari	144	0.2%
3401	Yanam	16	0.0%
3402	Pondicherry	128	0.2%
3403	Mahe	16	0.0%
3404	Karaikal	56	0.1%
3501	Andamans	239	0.4%
3502	Nicobars	12	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.

Imputation and Derivation

Derivation

This variable has been derived by concatenating the variables "State" and "District" to enable the users to easily access district wise data.