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) | |
Metadata | Documentation in PDF |
Created on
Aug 04, 2016
Last modified
Sep 02, 2016
Page views
333964
- Identification of Sa
mple Household - Household Characteri
stics - Demographic and othe
r particulars of hou
sehold members - Consumption of cerea
ls, pulses, milk and
milk products,edibl
e oil, egg, fish and
meat, vegetables, f
ruits, spices, bever
ages and processed f
ood and pan, tobacco
, intoxicants,fuel a
nd light during last
30 or 7 days - Consumption of cloth
ing, bedding and foo
twear during last 36
5 days - Expenditure on educa
tion and medical (in
stitutional) goods a
nd services - Expenditure on misce
llaneous goods and s
ervices including me
dical (non-instituti
onal), rents and tax
es during the last 3
0 days - Expenditure for purc
hase and constructio
n (including repair
and maintenance) of
durable goods for do
mestic use - Summary of comsumer
expenditure
Variable Groups
FOD Sub-Region
(FOD_Sub_Region)
File: Expenditure on education and medical (institutional) goods and services
File: Expenditure on education and medical (institutional) goods and services
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 365888 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0000 | 33105 | 9.0% | |
0014 | 70 | 0.0% | |
0024 | 20 | 0.0% | |
0030 | 23 | 0.0% | |
0046 | 33 | 0.0% | |
0093 | 54 | 0.0% | |
0100 | 68 | 0.0% | |
0110 | Jammu | 3226 | 0.9% |
0111 | Udhampur | 1300 | 0.4% |
0120 | Srinagar | 2043 | 0.6% |
0121 | Anantnag | 3267 | 0.9% |
0122 | Baramula | 2251 | 0.6% |
0130 | 37 | 0.0% | |
0170 | 14 | 0.0% | |
0182 | 27 | 0.0% | |
0210 | Shimla | 2033 | 0.6% |
0211 | Bilaspur | 1719 | 0.5% |
0212 | Dharamshala | 1521 | 0.4% |
0213 | Mandi | 1306 | 0.4% |
0231 | 125 | 0.0% | |
0282 | 21 | 0.0% | |
0310 | 1692 | 0.5% | |
0311 | Amritsar | 1179 | 0.3% |
0312 | Firozpur | 2563 | 0.7% |
0313 | Hoshiarpur | 1471 | 0.4% |
0320 | Ludhiana | 1643 | 0.4% |
0321 | Bathinda | 874 | 0.2% |
0322 | Patiala | 2093 | 0.6% |
0330 | 16 | 0.0% | |
0331 | 28 | 0.0% | |
0380 | 45 | 0.0% | |
0500 | 48 | 0.0% | |
0510 | Dehradun | 3577 | 1.0% |
0511 | Almora | 2737 | 0.7% |
0610 | Chandigarh | 1430 | 0.4% |
0611 | Ambala | 1950 | 0.5% |
0612 | Bhiwani | 1587 | 0.4% |
0613 | Hisar | 1652 | 0.5% |
0614 | Karnal | 2479 | 0.7% |
0615 | Rohtak | 2579 | 0.7% |
0706 | 38 | 0.0% | |
0710 | Delhi | 2925 | 0.8% |
0810 | Ajmer | 1355 | 0.4% |
0811 | Jodhpur | 1971 | 0.5% |
0812 | Udaipur | 2625 | 0.7% |
0820 | Jaipur | 3555 | 1.0% |
0821 | Alwar | 1424 | 0.4% |
0822 | Ganganagar | 1326 | 0.4% |
0823 | Kota | 2275 | 0.6% |
0910 | Agra | 3595 | 1.0% |
0911 | Aligarh | 2077 | 0.6% |
0912 | Meerut | 2067 | 0.6% |
0920 | Allahabad | 1416 | 0.4% |
0921 | Azamgarh | 2056 | 0.6% |
0922 | Faizabad | 1826 | 0.5% |
0923 | Gorakhpur | 2561 | 0.7% |
0924 | Varanasi | 2586 | 0.7% |
0930 | Bareilly | 1690 | 0.5% |
0931 | Moradabad | 1535 | 0.4% |
0932 | Saharanpur | 1286 | 0.4% |
0933 | Sitapur | 1073 | 0.3% |
0940 | Lucknow | 1576 | 0.4% |
0941 | Fatehpur | 1470 | 0.4% |
0942 | Gonda | 1381 | 0.4% |
0943 | Jhansi | 2064 | 0.6% |
0944 | Kanpur | 1104 | 0.3% |
1010 | Muzaffarpur | 2379 | 0.7% |
1011 | Darbhanga | 1675 | 0.5% |
1012 | Motihari | 1675 | 0.5% |
1013 | Purnia | 2681 | 0.7% |
1020 | Patna | 3269 | 0.9% |
1021 | Bhagalpur | 1425 | 0.4% |
1022 | Gaya | 1604 | 0.4% |
1050 | 53 | 0.0% | |
1110 | Gangtok | 2568 | 0.7% |
1210 | 128 | 0.0% | |
1211 | 40 | 0.0% | |
1281 | 27 | 0.0% | |
1310 | Kohima | 4825 | 1.3% |
1311 | Imphal | 37 | 0.0% |
1400 | 33 | 0.0% | |
1410 | 221 | 0.1% | |
1420 | 15 | 0.0% | |
1513 | 38 | 0.0% | |
1710 | Shillong | 3537 | 1.0% |
1711 | Tura | 2550 | 0.7% |
1712 | Agartala | 0 | 0.0% |
1810 | Guwahati | 4607 | 1.3% |
1811 | Silchar | 2106 | 0.6% |
1820 | Dibrugarh | 1203 | 0.3% |
1821 | Jorhat | 3615 | 1.0% |
1822 | Tezpur | 3119 | 0.9% |
1900 | 42 | 0.0% | |
1910 | Barddhaman | 1818 | 0.5% |
1911 | Bankura | 1255 | 0.3% |
1912 | Chinsura | 2972 | 0.8% |
1913 | Medinipur | 2402 | 0.7% |
1919 | 17 | 0.0% | |
1920 | Kolkata | 6632 | 1.8% |
1921 | Howrah | 1507 | 0.4% |
1930 | Maldah | 2503 | 0.7% |
1931 | Barhampur | 1882 | 0.5% |
1932 | Siliguri | 2504 | 0.7% |
2010 | Ranchi | 3209 | 0.9% |
2011 | Dumka | 1854 | 0.5% |
2012 | Hazaribag | 2991 | 0.8% |
2013 | Jamshedpur | 997 | 0.3% |
2019 | 44 | 0.0% | |
2021 | 47 | 0.0% | |
2110 | Bhubaneswar | 1243 | 0.3% |
2111 | Baripada | 1413 | 0.4% |
2112 | Berhampur | 1422 | 0.4% |
2113 | Cuttack | 3236 | 0.9% |
2120 | Sambalpur | 2438 | 0.7% |
2121 | Bhawanipatna | 1727 | 0.5% |
2210 | Raipur | 1930 | 0.5% |
2211 | Ambikapur | 2248 | 0.6% |
2212 | Bilaspur | 1588 | 0.4% |
2213 | Durg | 1508 | 0.4% |
2222 | 24 | 0.0% | |
2224 | 28 | 0.0% | |
2310 | Bhopal | 1972 | 0.5% |
2311 | Chhindwara | 1384 | 0.4% |
2312 | Indore | 1224 | 0.3% |
2313 | Khandwa | 1063 | 0.3% |
2320 | Gwalior | 1544 | 0.4% |
2321 | Ratlam | 1853 | 0.5% |
2322 | Shivpuri | 1758 | 0.5% |
2323 | Ujjain | 1824 | 0.5% |
2330 | Jabalpur | 1154 | 0.3% |
2331 | Rewa | 2217 | 0.6% |
2332 | Sagar | 1375 | 0.4% |
2410 | Ahmedabad | 1735 | 0.5% |
2411 | Bhavnagar | 887 | 0.2% |
2412 | Jamnagar | 748 | 0.2% |
2413 | Rajkot | 1290 | 0.4% |
2414 | Surendranagar | 608 | 0.2% |
2420 | Baroda | 2464 | 0.7% |
2421 | Mahesana | 1054 | 0.3% |
2422 | Nadiad | 1144 | 0.3% |
2423 | Surat | 1347 | 0.4% |
2424 | Valsad | 1363 | 0.4% |
2620 | 23 | 0.0% | |
2710 | Aurangabad | 2132 | 0.6% |
2711 | Jalgaon | 1601 | 0.4% |
2712 | Nanded | 2607 | 0.7% |
2713 | Nashik | 1778 | 0.5% |
2720 | Mumbai | 3848 | 1.1% |
2721 | Thane | 3248 | 0.9% |
2722 | 56 | 0.0% | |
2730 | Nagpur | 3211 | 0.9% |
2731 | Akola | 1476 | 0.4% |
2732 | Amravati | 1647 | 0.5% |
2740 | Pune | 4837 | 1.3% |
2741 | Kolhapur | 2502 | 0.7% |
2742 | Solapur | 2146 | 0.6% |
2790 | 28 | 0.0% | |
2810 | Cuddapah | 1733 | 0.5% |
2811 | Anantapur | 787 | 0.2% |
2812 | Guntur | 1105 | 0.3% |
2813 | Kurnool | 701 | 0.2% |
2814 | Nellore | 1368 | 0.4% |
2820 | Hyderabad | 4189 | 1.1% |
2821 | Karimnagar | 1332 | 0.4% |
2822 | Nizamabad | 1341 | 0.4% |
2823 | Warangal | 2034 | 0.6% |
2830 | Vijayawada | 1830 | 0.5% |
2831 | Kakinada | 1060 | 0.3% |
2832 | Visakhapatnam | 2020 | 0.6% |
2874 | 30 | 0.0% | |
2910 | Bangalore | 3418 | 0.9% |
2911 | Mangalore | 1215 | 0.3% |
2912 | Mysore | 1386 | 0.4% |
2913 | Shimoga | 1038 | 0.3% |
2920 | Hubli | 1647 | 0.5% |
2921 | Belgaum | 1311 | 0.4% |
2922 | Bellary | 1414 | 0.4% |
2923 | Gulbarga | 1500 | 0.4% |
2924 | 28 | 0.0% | |
3010 | Panaji | 1936 | 0.5% |
310 | Jalandhar | 0 | 0.0% |
3210 | Kozhikode | 4471 | 1.2% |
3211 | Kannur | 2428 | 0.7% |
3212 | Palakkad | 1666 | 0.5% |
3213 | Thrissur | 2014 | 0.6% |
3220 | Thiruvanantha- puram | 2295 | 0.6% |
3221 | Kochi | 2679 | 0.7% |
3222 | Kollam | 4378 | 1.2% |
3223 | Kottayam | 2182 | 0.6% |
3310 | Coimbatore | 2876 | 0.8% |
3311 | Dharmapuri | 814 | 0.2% |
3312 | Salem | 1216 | 0.3% |
3313 | Tiruchirappalli | 1943 | 0.5% |
3320 | Chennai | 3247 | 0.9% |
3321 | Cuddalore | 994 | 0.3% |
3322 | Vellore | 1681 | 0.5% |
3323 | Pondicherry | 1686 | 0.5% |
3330 | Madurai | 1529 | 0.4% |
3331 | Thanjavur | 1285 | 0.4% |
3332 | Tirunelveli | 2023 | 0.6% |
3333 | Virudhunagar | 1389 | 0.4% |
3510 | Port Blair | 1751 | 0.5% |
7710 | 14 | 0.0% | |
8713 | 47 | 0.0% | |
9101 | 35 | 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.