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
333858
- 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: Consumption of clothing, bedding and footwear during last 365 days
File: Consumption of clothing, bedding and footwear during last 365 days
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 1216970 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0000 | 85286 | 7.0% | |
0014 | 121 | 0.0% | |
0024 | 77 | 0.0% | |
0030 | 119 | 0.0% | |
0046 | 87 | 0.0% | |
0093 | 206 | 0.0% | |
0100 | 141 | 0.0% | |
0110 | Jammu | 10470 | 0.9% |
0111 | Udhampur | 3973 | 0.3% |
0120 | Srinagar | 6065 | 0.5% |
0121 | Anantnag | 7513 | 0.6% |
0122 | Baramula | 5648 | 0.5% |
0130 | 98 | 0.0% | |
0170 | 75 | 0.0% | |
0182 | 141 | 0.0% | |
0210 | Shimla | 8066 | 0.7% |
0211 | Bilaspur | 5197 | 0.4% |
0212 | Dharamshala | 5559 | 0.5% |
0213 | Mandi | 6026 | 0.5% |
0231 | 327 | 0.0% | |
0282 | 90 | 0.0% | |
0310 | 5466 | 0.4% | |
0311 | Amritsar | 4278 | 0.4% |
0312 | Firozpur | 7376 | 0.6% |
0313 | Hoshiarpur | 5014 | 0.4% |
0320 | Ludhiana | 7442 | 0.6% |
0321 | Bathinda | 3594 | 0.3% |
0322 | Patiala | 6004 | 0.5% |
0330 | 93 | 0.0% | |
0331 | 87 | 0.0% | |
0380 | 108 | 0.0% | |
0500 | 96 | 0.0% | |
0510 | Dehradun | 13378 | 1.1% |
0511 | Almora | 8985 | 0.7% |
0610 | Chandigarh | 4602 | 0.4% |
0611 | Ambala | 6004 | 0.5% |
0612 | Bhiwani | 4900 | 0.4% |
0613 | Hisar | 5108 | 0.4% |
0614 | Karnal | 8163 | 0.7% |
0615 | Rohtak | 9495 | 0.8% |
0706 | 94 | 0.0% | |
0710 | Delhi | 10538 | 0.9% |
0810 | Ajmer | 5712 | 0.5% |
0811 | Jodhpur | 8974 | 0.7% |
0812 | Udaipur | 8009 | 0.7% |
0820 | Jaipur | 13228 | 1.1% |
0821 | Alwar | 4731 | 0.4% |
0822 | Ganganagar | 4803 | 0.4% |
0823 | Kota | 8375 | 0.7% |
0910 | Agra | 13683 | 1.1% |
0911 | Aligarh | 7465 | 0.6% |
0912 | Meerut | 6634 | 0.5% |
0920 | Allahabad | 5413 | 0.4% |
0921 | Azamgarh | 8063 | 0.7% |
0922 | Faizabad | 5147 | 0.4% |
0923 | Gorakhpur | 9979 | 0.8% |
0924 | Varanasi | 7900 | 0.6% |
0930 | Bareilly | 7032 | 0.6% |
0931 | Moradabad | 6868 | 0.6% |
0932 | Saharanpur | 5630 | 0.5% |
0933 | Sitapur | 5613 | 0.5% |
0940 | Lucknow | 5349 | 0.4% |
0941 | Fatehpur | 5392 | 0.4% |
0942 | Gonda | 5470 | 0.4% |
0943 | Jhansi | 7161 | 0.6% |
0944 | Kanpur | 3593 | 0.3% |
1010 | Muzaffarpur | 9331 | 0.8% |
1011 | Darbhanga | 8126 | 0.7% |
1012 | Motihari | 7373 | 0.6% |
1013 | Purnia | 11260 | 0.9% |
1020 | Patna | 11694 | 1.0% |
1021 | Bhagalpur | 5306 | 0.4% |
1022 | Gaya | 6271 | 0.5% |
1050 | 99 | 0.0% | |
1110 | Gangtok | 11230 | 0.9% |
1210 | 406 | 0.0% | |
1211 | 125 | 0.0% | |
1281 | 82 | 0.0% | |
1310 | Kohima | 12484 | 1.0% |
1311 | Imphal | 116 | 0.0% |
1400 | 99 | 0.0% | |
1410 | 628 | 0.1% | |
1420 | 48 | 0.0% | |
1513 | 89 | 0.0% | |
1710 | Shillong | 11135 | 0.9% |
1711 | Tura | 6915 | 0.6% |
1712 | Agartala | 0 | 0.0% |
1810 | Guwahati | 14362 | 1.2% |
1811 | Silchar | 6022 | 0.5% |
1820 | Dibrugarh | 4147 | 0.3% |
1821 | Jorhat | 9453 | 0.8% |
1822 | Tezpur | 9769 | 0.8% |
1900 | 133 | 0.0% | |
1910 | Barddhaman | 6102 | 0.5% |
1911 | Bankura | 5632 | 0.5% |
1912 | Chinsura | 9591 | 0.8% |
1913 | Medinipur | 7496 | 0.6% |
1919 | 78 | 0.0% | |
1920 | Kolkata | 18483 | 1.5% |
1921 | Howrah | 4296 | 0.4% |
1930 | Maldah | 6987 | 0.6% |
1931 | Barhampur | 6285 | 0.5% |
1932 | Siliguri | 7812 | 0.6% |
2010 | Ranchi | 11222 | 0.9% |
2011 | Dumka | 8699 | 0.7% |
2012 | Hazaribag | 11561 | 0.9% |
2013 | Jamshedpur | 4320 | 0.4% |
2019 | 101 | 0.0% | |
2021 | 102 | 0.0% | |
2110 | Bhubaneswar | 4571 | 0.4% |
2111 | Baripada | 5107 | 0.4% |
2112 | Berhampur | 5727 | 0.5% |
2113 | Cuttack | 12455 | 1.0% |
2120 | Sambalpur | 9348 | 0.8% |
2121 | Bhawanipatna | 7083 | 0.6% |
2210 | Raipur | 9864 | 0.8% |
2211 | Ambikapur | 7150 | 0.6% |
2212 | Bilaspur | 5611 | 0.5% |
2213 | Durg | 6206 | 0.5% |
2222 | 73 | 0.0% | |
2224 | 118 | 0.0% | |
2310 | Bhopal | 6046 | 0.5% |
2311 | Chhindwara | 4696 | 0.4% |
2312 | Indore | 3760 | 0.3% |
2313 | Khandwa | 4138 | 0.3% |
2320 | Gwalior | 5345 | 0.4% |
2321 | Ratlam | 4601 | 0.4% |
2322 | Shivpuri | 6243 | 0.5% |
2323 | Ujjain | 5595 | 0.5% |
2330 | Jabalpur | 4900 | 0.4% |
2331 | Rewa | 7422 | 0.6% |
2332 | Sagar | 5088 | 0.4% |
2410 | Ahmedabad | 6127 | 0.5% |
2411 | Bhavnagar | 3753 | 0.3% |
2412 | Jamnagar | 2678 | 0.2% |
2413 | Rajkot | 4994 | 0.4% |
2414 | Surendranagar | 2467 | 0.2% |
2420 | Baroda | 7346 | 0.6% |
2421 | Mahesana | 4601 | 0.4% |
2422 | Nadiad | 4553 | 0.4% |
2423 | Surat | 4493 | 0.4% |
2424 | Valsad | 6305 | 0.5% |
2620 | 98 | 0.0% | |
2710 | Aurangabad | 6613 | 0.5% |
2711 | Jalgaon | 6784 | 0.6% |
2712 | Nanded | 8036 | 0.7% |
2713 | Nashik | 4503 | 0.4% |
2720 | Mumbai | 10484 | 0.9% |
2721 | Thane | 8616 | 0.7% |
2722 | 122 | 0.0% | |
2730 | Nagpur | 11335 | 0.9% |
2731 | Akola | 4799 | 0.4% |
2732 | Amravati | 4938 | 0.4% |
2740 | Pune | 14805 | 1.2% |
2741 | Kolhapur | 7141 | 0.6% |
2742 | Solapur | 5175 | 0.4% |
2790 | 80 | 0.0% | |
2810 | Cuddapah | 5818 | 0.5% |
2811 | Anantapur | 3929 | 0.3% |
2812 | Guntur | 3512 | 0.3% |
2813 | Kurnool | 3375 | 0.3% |
2814 | Nellore | 5615 | 0.5% |
2820 | Hyderabad | 15264 | 1.3% |
2821 | Karimnagar | 5850 | 0.5% |
2822 | Nizamabad | 4862 | 0.4% |
2823 | Warangal | 5353 | 0.4% |
2830 | Vijayawada | 7781 | 0.6% |
2831 | Kakinada | 3620 | 0.3% |
2832 | Visakhapatnam | 8447 | 0.7% |
2874 | 96 | 0.0% | |
2910 | Bangalore | 10617 | 0.9% |
2911 | Mangalore | 3876 | 0.3% |
2912 | Mysore | 5610 | 0.5% |
2913 | Shimoga | 4405 | 0.4% |
2920 | Hubli | 7068 | 0.6% |
2921 | Belgaum | 5088 | 0.4% |
2922 | Bellary | 5456 | 0.4% |
2923 | Gulbarga | 3668 | 0.3% |
2924 | 102 | 0.0% | |
3010 | Panaji | 5846 | 0.5% |
310 | Jalandhar | 0 | 0.0% |
3210 | Kozhikode | 11145 | 0.9% |
3211 | Kannur | 6964 | 0.6% |
3212 | Palakkad | 4415 | 0.4% |
3213 | Thrissur | 4520 | 0.4% |
3220 | Thiruvanantha- puram | 5834 | 0.5% |
3221 | Kochi | 6266 | 0.5% |
3222 | Kollam | 9277 | 0.8% |
3223 | Kottayam | 4488 | 0.4% |
3310 | Coimbatore | 8878 | 0.7% |
3311 | Dharmapuri | 3382 | 0.3% |
3312 | Salem | 5283 | 0.4% |
3313 | Tiruchirappalli | 7819 | 0.6% |
3320 | Chennai | 10216 | 0.8% |
3321 | Cuddalore | 4473 | 0.4% |
3322 | Vellore | 5774 | 0.5% |
3323 | Pondicherry | 6496 | 0.5% |
3330 | Madurai | 6716 | 0.6% |
3331 | Thanjavur | 5698 | 0.5% |
3332 | Tirunelveli | 7595 | 0.6% |
3333 | Virudhunagar | 5659 | 0.5% |
3510 | Port Blair | 6712 | 0.6% |
7710 | 95 | 0.0% | |
8713 | 99 | 0.0% | |
9101 | 111 | 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.