India - Household Consumer Expenditure, July 2005 - June 2006, NSS 62nd Round

Reference ID

DDI-IND-MOSPI-NSSO-62Rnd-Sch1.0-2005-06

Year

2005 - 2006

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

187217

PDF | Print

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

Overview

Type: Discrete
Format: character
Width: 4

Valid cases: 39436
Invalid: 0

Questions and instructions

Literal question

Unique identifier for a district

Categories

Value	Category	Cases
0101	Kupwara	16	0.0%
0102	Baramula	132	0.3%
0103	Srinagar	284	0.7%
0104	Badgam	64	0.2%
0105	Pulwama	68	0.2%
0106	Anantnag	119	0.3%
0107	Leh* Ladakh	0	0.0%
0108	Kargil*	0	0.0%
0109	Doda	44	0.1%
0110	Udhampur	80	0.2%
0111	Punch	0	0.0%
0112	Rajauri	0	0.0%
0113	Jammu	296	0.8%
0114	Kathua	68	0.2%
0201	Chamba	32	0.1%
0202	Kangra	156	0.4%
0203	Lahul & Spiti	16	0.0%
0204	Kullu	60	0.2%
0205	Mandi	104	0.3%
0206	Hamirpur	56	0.1%
0207	Una	56	0.1%
0208	Bilaspur	48	0.1%
0209	Solan	92	0.2%
0210	Sirmaur	72	0.2%
0211	Shimla	123	0.3%
0212	Kinnaur	12	0.0%
0301	Gurdaspur	175	0.4%
0302	Amritsar	176	0.4%
0303	Kapurthala	40	0.1%
0304	Jalandhar	128	0.3%
0305	Hoshiarpur	64	0.2%
0306	Nawanshahr	24	0.1%
0307	Rupnagar	64	0.2%
0308	Fatehgarh Sahib	32	0.1%
0309	Ludhiana	216	0.5%
0310	Moga	30	0.1%
0311	Firozpur	86	0.2%
0312	Muktsar	32	0.1%
0313	Faridkot	32	0.1%
0314	Bathinda	64	0.2%
0315	Mansa	32	0.1%
0316	Sangrur	104	0.3%
0317	Patiala	104	0.3%
0401	Chandigarh	79	0.2%
0501	Uttarkashi	24	0.1%
0502	Chamoli	24	0.1%
0503	Rudraprayag	20	0.1%
0504	Tehri Garhwal	20	0.1%
0505	Dehradun	60	0.2%
0506	Garhwal	24	0.1%
0507	Pithoragarh	28	0.1%
0508	Champawat	16	0.0%
0509	Almora	24	0.1%
0510	Bageshwar	20	0.1%
0511	Nainital	36	0.1%
0512	Udham Singh Nagar	64	0.2%
0513	Hardwar	24	0.1%
0601	Panchkula	32	0.1%
0602	Ambala	40	0.1%
0603	Yamunanagar	40	0.1%
0604	Kurukshetra	36	0.1%
0605	Kaithal	32	0.1%
0606	Karnal	88	0.2%
0607	Panipat	52	0.1%
0608	Sonipat	32	0.1%
0609	Jind	36	0.1%
0610	Fatehabad	28	0.1%
0611	Sirsa	40	0.1%
0612	Hisar	40	0.1%
0613	Bhiwani	36	0.1%
0614	Rohtak	48	0.1%
0615	Jhajjar	36	0.1%
0616	Mahendragarh	24	0.1%
0617	Rewari	28	0.1%
0618	Gurgaon	56	0.1%
0619	Faridabad	108	0.3%
0701	North West	68	0.2%
0702	North	0	0.0%
0703	North East	12	0.0%
0704	East	0	0.0%
0705	New Delhi	0	0.0%
0706	Central	0	0.0%
0707	West	16	0.0%
0708	South West	12	0.0%
0709	South	16	0.0%
0710		224	0.6%
0801	Ganganagar	63	0.2%
0802	Hanumangarh	64	0.2%
0803	Bikaner	68	0.2%
0804	Churu	72	0.2%
0805	Jhunjhunun	60	0.2%
0806	Alwar	64	0.2%
0807	Bharatpur	64	0.2%
0808	Dhaulpur	48	0.1%
0809	Karauli	55	0.1%
0810	Sawai Madhopur	48	0.1%
0811	Dausa	56	0.1%
0812	Jaipur	234	0.6%
0813	Sikar	64	0.2%
0814	Nagaur	67	0.2%
0815	Jodhpur	99	0.3%
0816	Jaisalmer	40	0.1%
0817	Barmer	56	0.1%
0818	Jalor	48	0.1%
0819	Sirohi	56	0.1%
0820	Pali	60	0.2%
0821	Ajmer	92	0.2%
0822	Tonk	56	0.1%
0823	Bundi	52	0.1%
0824	Bhilwara	56	0.1%
0825	Rajsamand	40	0.1%
0826	Udaipur	80	0.2%
0827	Dungarpur	40	0.1%
0828	Banswara	44	0.1%
0829	Chittaurgarh	48	0.1%
0830	Kota	88	0.2%
0831	Baran	48	0.1%
0832	Jhalawar	48	0.1%
0901	Saharanpur	72	0.2%
0902	Muzaffarnagar	91	0.2%
0903	Bijnor	68	0.2%
0904	Moradabad	104	0.3%
0905	Rampur	48	0.1%
0906	J Phule Nagar	40	0.1%
0907	Meerut	120	0.3%
0908	Baghpat	31	0.1%
0909	Ghaziabad	152	0.4%
0910	G. Buddha Nagar	48	0.1%
0911	Bulandshahr	71	0.2%
0912	Aligarh	80	0.2%
0913	Hathras	32	0.1%
0914	Mathura	64	0.2%
0915	Agra	120	0.3%
0916	Firozabad	55	0.1%
0917	Etah	56	0.1%
0918	Mainpuri	36	0.1%
0919	Budaun	56	0.1%
0920	Bareilly	104	0.3%
0921	Pilibhit	36	0.1%
0922	Shahjahanpur	56	0.1%
0923	Kheri	52	0.1%
0924	Sitapur	56	0.1%
0925	Hardoi	56	0.1%
0926	Unnao	60	0.2%
0927	Lucknow	168	0.4%
0928	Rae Bareli	40	0.1%
0929	Farrukhabad	40	0.1%
0930	Kannauj	32	0.1%
0931	Etawah	32	0.1%
0932	Auraiya	32	0.1%
0933	Kanpur Dehat	40	0.1%
0934	Kanpur Nagar	200	0.5%
0935	Jalaun	40	0.1%
0936	Jhansi	64	0.2%
0937	Lalitpur	24	0.1%
0938	Hamirpur	32	0.1%
0939	Mahoba	32	0.1%
0940	Banda	32	0.1%
0941	Chitrakoot	28	0.1%
0942	Fatehpur	52	0.1%
0943	Pratapgarh	32	0.1%
0944	Kaushambi	24	0.1%
0945	Allahabad	103	0.3%
0946	Barabanki	40	0.1%
0947	Faizabad	36	0.1%
0948	Ambedkar Nag.	40	0.1%
0949	Sultanpur	44	0.1%
0950	Bahraich	40	0.1%
0951	Shrawasti	24	0.1%
0952	Balrampur	32	0.1%
0953	Gonda	40	0.1%
0954	Siddharthnagar	32	0.1%
0955	Basti	32	0.1%
0956	S. Kabir Nagar	24	0.1%
0957	Maharajganj	32	0.1%
0958	Gorakhpur	72	0.2%
0959	Kushinagar	32	0.1%
0960	Deoria	40	0.1%
0961	Azamgarh	40	0.1%
0962	Mau	48	0.1%
0963	Ballia	36	0.1%
0964	Jaunpur	40	0.1%
0965	Ghazipur	44	0.1%
0966	Chandauli	26	0.1%
0967	Varanasi	112	0.3%
0968	S.R.Nagar ( Bhadohi )	32	0.1%
0969	Mirzapur	40	0.1%
0970	Sonbhadra	32	0.1%
1001	Champaran (W)	72	0.2%
1002	Champaran (E)	72	0.2%
1003	Sheohar	20	0.1%
1004	Sitamarhi	56	0.1%
1005	Madhubani	64	0.2%
1006	Supaul	32	0.1%
1007	Araria	40	0.1%
1008	Kishanganj	28	0.1%
1009	Purnia	56	0.1%
1010	Katihar	56	0.1%
1011	Madhepura	32	0.1%
1012	Saharsa	32	0.1%
1013	Darbhanga	64	0.2%
1014	Muzaffarpur	88	0.2%
1015	Gopalganj	48	0.1%
1016	Siwan	56	0.1%
1017	Saran	64	0.2%
1018	Vaishali	60	0.2%
1019	Samastipur	56	0.1%
1020	Begusarai	56	0.1%
1021	Khagaria	32	0.1%
1022	Bhagalpur	72	0.2%
1023	Banka	32	0.1%
1024	Munger	56	0.1%
1025	Lakhisarai	24	0.1%
1026	Sheikhpura	20	0.1%
1027	Nalanda	64	0.2%
1028	Patna	215	0.5%
1029	Bhojpur	64	0.2%
1030	Buxar	36	0.1%
1031	Kaimur Bhabua	32	0.1%
1032	Rohtas	80	0.2%
1033	Jehanabad	32	0.1%
1034	Aurangabad	48	0.1%
1035	Gaya	80	0.2%
1036	Nawada	40	0.1%
1037	Jamui	32	0.1%
1101	North ( Mongam )	24	0.1%
1102	West ( Gyalshing )	48	0.1%
1103	South ( Nimachai )	56	0.1%
1104	East ( Gangtok )	112	0.3%
1201	Tawang	16	0.0%
1202	West Kameng	32	0.1%
1203	East Kameng	16	0.0%
1204	Papum Pare	40	0.1%
1205	Lower Subansiri	32	0.1%
1206	Upper Subansiri	16	0.0%
1207	West Siang	44	0.1%
1208	East Siang	24	0.1%
1209	Upper Siang	8	0.0%
1210	Dibang Valley	24	0.1%
1211	Lohit	48	0.1%
1212	Changlang	44	0.1%
1213	Tirap	36	0.1%
1301	Mon	28	0.1%
1302	Tuensang	40	0.1%
1303	Mokokchung	48	0.1%
1304	Zunheboto	24	0.1%
1305	Wokha	24	0.1%
1306	Dimapur	64	0.2%
1307	Kohima	64	0.2%
1308	Phek	24	0.1%
1401	Senapati	32	0.1%
1402	Tamenglong	16	0.0%
1403	Churachandpur	32	0.1%
1404	Bishnupur	48	0.1%
1405	Thoubal	96	0.2%
1406	Imphal West	132	0.3%
1407	Imphal East	84	0.2%
1408	Ukhrul	16	0.0%
1409	Chandel	24	0.1%
1501	Mamit	28	0.1%
1502	Kolasib	24	0.1%
1503	Aizwal	176	0.4%
1504	Champhai	40	0.1%
1505	Serchip	24	0.1%
1506	Lunglei	64	0.2%
1507	Lawngtlai	24	0.1%
1508	Saiha	32	0.1%
1601	West Tripura	412	1.0%
1602	South Tripura	140	0.4%
1603	Dhalai	60	0.2%
1604	North Tripura	120	0.3%
1701	West Garo Hills	80	0.2%
1702	East Garo Hills	40	0.1%
1703	South Garo Hills	24	0.1%
1704	West Khasi Hills	48	0.1%
1705	Ri Bhoi	16	0.0%
1706	East Khasi Hills	140	0.4%
1707	Jaintia Hills	40	0.1%
1801	Kokrajhar	52	0.1%
1802	Dhubri	92	0.2%
1803	Goalpara	44	0.1%
1804	Bongaigaon	44	0.1%
1805	Barpeta	80	0.2%
1806	Kamrup	184	0.5%
1807	Nalbari	56	0.1%
1808	Darrang	64	0.2%
1809	Marigaon	40	0.1%
1810	Nagaon	112	0.3%
1811	Sonitpur	88	0.2%
1812	Lakhimpur	44	0.1%
1813	Dhemaji	24	0.1%
1814	Tinsukia	72	0.2%
1815	Dibrugarh	64	0.2%
1816	Sibsagar	48	0.1%
1817	Jorhat	44	0.1%
1818	Golaghat	40	0.1%
1819	Karbi Anglong	48	0.1%
1820	North Cachar Hills	16	0.0%
1821	Cachar	72	0.2%
1822	Karimganj	40	0.1%
1823	HaiLakandi	24	0.1%
1901	Darjiling	92	0.2%
1902	Jalpaiguri	116	0.3%
1903	Koch Bihar	80	0.2%
1904	Uttar Dinajpur	84	0.2%
1905	Dakshin Dinajpur	92	0.2%
1906	Maldah	96	0.2%
1907	Murshidabad	144	0.4%
1908	Birbhum	108	0.3%
1909	Barddhaman	243	0.6%
1910	Nadia	128	0.3%
1911	North 24-Parganas	352	0.9%
1912	Hugli	180	0.5%
1913	Bankura	96	0.2%
1914	Puruliya	80	0.2%
1915	Medinipur	204	0.5%
1916	Howrah	192	0.5%
1917	Kolkata	256	0.6%
1918	South 24-Parganas	200	0.5%
2001	Garhwa	40	0.1%
2002	Palamu	64	0.2%
2003	Chatra	24	0.1%
2004	Hazaribag	100	0.3%
2005	Kodarma	28	0.1%
2006	Giridih	76	0.2%
2007	Deoghar	40	0.1%
2008	Godda	40	0.1%
2009	Sahibganj	32	0.1%
2010	Pakaur	24	0.1%
2011	Dumka	48	0.1%
2012	Dhanbad	168	0.4%
2013	Bokaro	100	0.3%
2014	Ranchi	148	0.4%
2015	Lohardaga	24	0.1%
2016	Gumla	48	0.1%
2017	Singhbhum (W)	80	0.2%
2018	Singhbhum (E)	119	0.3%
2101	Bargarh	48	0.1%
2102	Jharsuguda	40	0.1%
2103	Sambalpur	76	0.2%
2104	Debagarh	40	0.1%
2105	Sundargarh	88	0.2%
2106	Kendujhar	64	0.2%
2107	Mayurbhanj	56	0.1%
2108	Baleshwar	56	0.1%
2109	Bhadrak	40	0.1%
2110	Kendrapara	40	0.1%
2111	Jagatsinghapur	40	0.1%
2112	Cuttack	100	0.3%
2113	Jajapur	56	0.1%
2114	Dhenkanal	40	0.1%
2115	Anugul	40	0.1%
2116	Nayagarh	40	0.1%
2117	Khordha	92	0.2%
2118	Puri	48	0.1%
2119	Ganjam	108	0.3%
2120	Gajapati	32	0.1%
2121	Kandhamal ( Phoolbani )	32	0.1%
2122	Baudh	36	0.1%
2123	Sonapur	28	0.1%
2124	Balangir	40	0.1%
2125	Nuapada	32	0.1%
2126	Kalahandi	48	0.1%
2127	Rayagada	40	0.1%
2128	Nabarangapur	36	0.1%
2129	Koraput	40	0.1%
2130	Malkangiri	32	0.1%
2201	Koriya	16	0.0%
2202	Surguja	24	0.1%
2203	Jashpur	24	0.1%
2204	Raigarh	28	0.1%
2205	Korba	40	0.1%
2206	Janjgir-Champa	24	0.1%
2207	Bilaspur	40	0.1%
2208	Kawardha	24	0.1%
2209	Rajnandgaon	36	0.1%
2210	Durg	80	0.2%
2211	Raipur	80	0.2%
2212	Mahasamund	24	0.1%
2213	Dhamtari	24	0.1%
2214	Kanker	24	0.1%
2215	Bastar	24	0.1%
2216	Dantewada	20	0.1%
2301	Sheopur	24	0.1%
2302	Morena	40	0.1%
2303	Bhind	28	0.1%
2304	Gwalior	92	0.2%
2305	Datia	32	0.1%
2306	Shivpuri	36	0.1%
2307	Guna	48	0.1%
2308	Tikamgarh	32	0.1%
2309	Chhatarpur	44	0.1%
2310	Panna	24	0.1%
2311	Sagar	60	0.2%
2312	Damoh	32	0.1%
2313	Satna	52	0.1%
2314	Rewa	32	0.1%
2315	Umaria	24	0.1%
2316	Shahdol	48	0.1%
2317	Sidhi	40	0.1%
2318	Neemuch	32	0.1%
2319	Mandsaur	40	0.1%
2320	Ratlam	48	0.1%
2321	Ujjain	72	0.2%
2322	Shajapur	40	0.1%
2323	Dewas	56	0.1%
2324	Jhabua	32	0.1%
2325	Dhar	40	0.1%
2326	Indore	154	0.4%
2327	W. Nimar	40	0.1%
2328	Barwani	40	0.1%
2329	E. Nimar	60	0.2%
2330	Rajgarh	40	0.1%
2331	Vidisha	44	0.1%
2332	Bhopal	134	0.3%
2333	Sehore	40	0.1%
2334	Raisen	44	0.1%
2335	Betul	40	0.1%
2336	Harda	24	0.1%
2337	Hoshangabad	28	0.1%
2338	Katni	36	0.1%
2339	Jabalpur	100	0.3%
2340	Narsimhapur	28	0.1%
2341	Dindori	16	0.0%
2342	Mandla	16	0.0%
2343	Chhindwara	48	0.1%
2344	Seoni	24	0.1%
2345	Balaghat	32	0.1%
2401	Kachchh	96	0.2%
2402	Bans Kantha	72	0.2%
2403	Patan	32	0.1%
2404	Mahesana	52	0.1%
2405	Sabar Kantha	52	0.1%
2406	Gandhinagar	40	0.1%
2407	Ahmedabad	272	0.7%
2408	Surendranagar	40	0.1%
2409	Rajkot	112	0.3%
2410	Jamnagar	64	0.2%
2411	Porbandar	24	0.1%
2412	Junagadh	72	0.2%
2413	Amreli	32	0.1%
2414	Bhavnagar	72	0.2%
2415	Anand	52	0.1%
2416	Kheda	56	0.1%
2417	Panch Mahals	48	0.1%
2418	Dohad	32	0.1%
2419	Vadodara	120	0.3%
2420	Narmada	16	0.0%
2421	Bharuch	32	0.1%
2422	Surat	192	0.5%
2423	The Dangs	8	0.0%
2424	Navsari	32	0.1%
2425	Valsad	32	0.1%
2501	Diu	20	0.1%
2502	Daman	44	0.1%
2601	Dadra and Nagar Havelira	64	0.2%
2701	Nandurbar	56	0.1%
2702	Dhule	72	0.2%
2703	Jalgaon	104	0.3%
2704	Buldana	76	0.2%
2705	Akola	56	0.1%
2706	Washim	32	0.1%
2707	Amravati	100	0.3%
2708	Wardha	36	0.1%
2709	Nagpur	172	0.4%
2710	Bhandara	28	0.1%
2711	Gondiya	32	0.1%
2712	Gadchiroli	24	0.1%
2713	Chandrapur	52	0.1%
2714	Yavatmal	64	0.2%
2715	Nanded	64	0.2%
2716	Hingoli	24	0.1%
2717	Parbhani	48	0.1%
2718	Jalna	32	0.1%
2719	Aurangabad	92	0.2%
2720	Nashik	143	0.4%
2721	Thane	343	0.9%
2722	Mumbai Suburban	638	1.6%
2723	Mumbai	0	0.0%
2724	Raigarh	48	0.1%
2725	Pune	271	0.7%
2726	Ahmadnagar	88	0.2%
2727	Bid	40	0.1%
2728	Latur	48	0.1%
2729	Osmanabad	32	0.1%
2730	Solapur	96	0.2%
2731	Satara	48	0.1%
2732	Ratnagiri	32	0.1%
2733	Sindhudurg	24	0.1%
2734	Kolhapur	92	0.2%
2735	Sangli	64	0.2%
2801	Adilabad	76	0.2%
2802	Nizamabad	72	0.2%
2803	Karimnagar	160	0.4%
2804	Medak	96	0.2%
2805	Hyderabad	224	0.6%
2806	Rangareddi	168	0.4%
2807	Mahbubnagar	92	0.2%
2808	Nalgonda	88	0.2%
2809	Warangal	92	0.2%
2810	Khammam	80	0.2%
2811	Srikakulam	79	0.2%
2812	Vizianagaram	64	0.2%
2813	Visakhapatnam	140	0.4%
2814	East Godavari	144	0.4%
2815	West Godavari	148	0.4%
2816	Krishna	156	0.4%
2817	Guntur	184	0.5%
2818	Prakasam	100	0.3%
2819	Nellore	92	0.2%
2820	Cuddapah	88	0.2%
2821	Kurnool	116	0.3%
2822	Anantapur	103	0.3%
2823	Chittoor	120	0.3%
2901	Belgaum	124	0.3%
2902	Bagalkot	48	0.1%
2903	Bijapur	52	0.1%
2904	Gulbarga	88	0.2%
2905	Bidar	39	0.1%
2906	Raichur	40	0.1%
2907	Koppal	40	0.1%
2908	Gadag	40	0.1%
2909	Dharwad	56	0.1%
2910	Uttara Kannada	40	0.1%
2911	Haveri	40	0.1%
2912	Bellary	56	0.1%
2913	Chitradurga	40	0.1%
2914	Davanagere	48	0.1%
2915	Shimoga	48	0.1%
2916	Udupi	32	0.1%
2917	Chikmagalur	36	0.1%
2918	Tumkur	64	0.2%
2919	Kolar	68	0.2%
2920	Bangalore	255	0.6%
2921	Bangalore ( Rural )	47	0.1%
2922	Mandya	48	0.1%
2923	Hassan	48	0.1%
2924	Dakshina Kannada	60	0.2%
2925	Kodagu	32	0.1%
2926	Mysore	72	0.2%
2927	Chamarajanagar	32	0.1%
3001	North Goa	88	0.2%
3002	South Goa	71	0.2%
3101	Lakshadweepshadweep	80	0.2%
3201	Kasaragod	68	0.2%
3202	Kannur	124	0.3%
3203	Wayanad	56	0.1%
3204	Kozhikode	145	0.4%
3205	Malappuram	152	0.4%
3206	Palakkad	128	0.3%
3207	Thrissur	160	0.4%
3208	Ernakulam	160	0.4%
3209	Idukki	72	0.2%
3210	Kottayam	96	0.2%
3211	Alappuzha	120	0.3%
3212	Pathanamthitta	68	0.2%
3213	Kollam	132	0.3%
3214	Thiruvananthapuram	176	0.4%
3301	Thiruvallur	148	0.4%
3302	Chennai	223	0.6%
3303	Kancheepuram	132	0.3%
3304	Vellore	124	0.3%
3305	Dharmapuri	68	0.2%
3306	Tiruvanamalai	60	0.2%
3307	Viluppuram	72	0.2%
3308	Salem	136	0.3%
3309	Namakkal	84	0.2%
3310	Erode	140	0.4%
3311	The Nilgiris	60	0.2%
3312	Coimbatore	208	0.5%
3313	Dindigul	72	0.2%
3314	Karur	40	0.1%
3315	Tiruchirappalli	104	0.3%
3316	Perambalur	24	0.1%
3317	Ariyalur	32	0.1%
3318	Cuddalore	80	0.2%
3319	Nagapattinam	40	0.1%
3320	Thiruvarur	40	0.1%
3321	Thanjavur	80	0.2%
3322	Pudukkottai	52	0.1%
3323	Sivaganga	52	0.1%
3324	Madurai	104	0.3%
3325	Theni	52	0.1%
3326	Virudhunagar	115	0.3%
3327	Ramanathapuram	40	0.1%
3328	Toothukudi	56	0.1%
3329	Tirunelveli	120	0.3%
3330	Kanniyakumari	124	0.3%
3401	Yanam	8	0.0%
3402	Pondicherry	88	0.2%
3403	Mahe	8	0.0%
3404	Karaikal	24	0.1%
3501	Andamans	172	0.4%
3502	Nicobars	16	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.