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
333781
- 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: Household Characteristics
File: Household Characteristics
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 100786 Invalid: 0 |
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 | 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 | Meerut | 508 | 0.5% |
0920 | Allahabad | 444 | 0.4% |
0921 | Azamgarh | 584 | 0.6% |
0922 | Faizabad | 447 | 0.4% |
0923 | Gorakhpur | 776 | 0.8% |
0924 | Varanasi | 685 | 0.7% |
0930 | Bareilly | 552 | 0.5% |
0931 | Moradabad | 544 | 0.5% |
0932 | Saharanpur | 368 | 0.4% |
0933 | Sitapur | 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 | Patna | 919 | 0.9% |
1021 | Bhagalpur | 454 | 0.5% |
1022 | Gaya | 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 | Barhampur | 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 | Berhampur | 480 | 0.5% |
2113 | Cuttack | 1055 | 1.0% |
2120 | Sambalpur | 855 | 0.8% |
2121 | Bhawanipatna | 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 | Indore | 272 | 0.3% |
2313 | Khandwa | 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 | Surendranagar | 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 | Nanded | 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% |
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 | 8 | 0.0% | |
3010 | Panaji | 447 | 0.4% |
310 | Jalandhar | 0 | 0.0% |
3210 | Kozhikode | 976 | 1.0% |
3211 | Kannur | 584 | 0.6% |
3212 | Palakkad | 344 | 0.3% |
3213 | Thrissur | 454 | 0.5% |
3220 | Thiruvanantha- puram | 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 | Tiruchirappalli | 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.