India - Household Consumer Expenditure Type-1, July 2009 - June 2010, NSS 66th Round
Reference ID | DDI-IND-NSSO-66-SCHEDULE-1.0T1 |
Year | 2009 - 2010 |
Country | India |
Producer(s) | National Sample Survey Office,NSSO - Ministry of Statistics & Programme Implementation, Govenment of India |
Sponsor(s) | Ministry of Statistics & Programme Implementation, Govenment of Indis - MOSPI - |
Collection(s) |
Created on
Jan 18, 2018
Last modified
Mar 27, 2019
Page views
197353
- 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, suga
r and salt during th
e last 30 days - Consumption of cloth
ing, bedding and foo
twear during last 30
and 365 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 miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days
File: Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 2163756 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0000 | 143422 | 6.6% | |
0014 | 177 | 0.0% | |
0024 | 170 | 0.0% | |
0030 | 240 | 0.0% | |
0046 | 170 | 0.0% | |
0093 | 291 | 0.0% | |
0100 | 309 | 0.0% | |
0110 | Jammu | 17596 | 0.8% |
0111 | Udhampur | 6444 | 0.3% |
0120 | Srinagar | 11716 | 0.5% |
0121 | Anantnag | 13545 | 0.6% |
0122 | Baramula | 10393 | 0.5% |
0130 | 185 | 0.0% | |
0170 | 131 | 0.0% | |
0182 | 155 | 0.0% | |
0210 | Shimla | 12057 | 0.6% |
0211 | Bilaspur | 9780 | 0.5% |
0212 | Dharamshala | 11068 | 0.5% |
0213 | Mandi | 8790 | 0.4% |
0231 | 693 | 0.0% | |
0282 | 185 | 0.0% | |
0310 | 11112 | 0.5% | |
0311 | Amritsar | 6552 | 0.3% |
0312 | Firozpur | 11964 | 0.6% |
0313 | Hoshiarpur | 8043 | 0.4% |
0320 | Ludhiana | 11992 | 0.6% |
0321 | Bathinda | 5325 | 0.2% |
0322 | Patiala | 11390 | 0.5% |
0330 | 146 | 0.0% | |
0331 | 129 | 0.0% | |
0380 | 193 | 0.0% | |
0500 | 181 | 0.0% | |
0510 | Dehradun | 19797 | 0.9% |
0511 | Almora | 14742 | 0.7% |
0610 | Chandigarh | 9569 | 0.4% |
0611 | Ambala | 10585 | 0.5% |
0612 | Bhiwani | 8127 | 0.4% |
0613 | Hisar | 8523 | 0.4% |
0614 | Karnal | 12041 | 0.6% |
0615 | Rohtak | 15002 | 0.7% |
0706 | 152 | 0.0% | |
0710 | Delhi | 22707 | 1.0% |
0810 | Ajmer | 8126 | 0.4% |
0811 | Jodhpur | 13104 | 0.6% |
0812 | Udaipur | 13903 | 0.6% |
0820 | Jaipur | 20522 | 0.9% |
0821 | Alwar | 6893 | 0.3% |
0822 | Ganganagar | 7187 | 0.3% |
0823 | Kota | 13433 | 0.6% |
0910 | Agra | 20283 | 0.9% |
0911 | Aligarh | 11801 | 0.5% |
0912 | Meerut | 10743 | 0.5% |
0920 | Allahabad | 9017 | 0.4% |
0921 | Azamgarh | 10979 | 0.5% |
0922 | Faizabad | 8251 | 0.4% |
0923 | Gorakhpur | 14128 | 0.7% |
0924 | Varanasi | 13560 | 0.6% |
0930 | Bareilly | 11439 | 0.5% |
0931 | Moradabad | 10029 | 0.5% |
0932 | Saharanpur | 8268 | 0.4% |
0933 | Sitapur | 8391 | 0.4% |
0940 | Lucknow | 9395 | 0.4% |
0941 | Fatehpur | 10053 | 0.5% |
0942 | Gonda | 8560 | 0.4% |
0943 | Jhansi | 11329 | 0.5% |
0944 | Kanpur | 6076 | 0.3% |
1010 | Muzaffarpur | 12563 | 0.6% |
1011 | Darbhanga | 12314 | 0.6% |
1012 | Motihari | 10520 | 0.5% |
1013 | Purnia | 17285 | 0.8% |
1020 | Patna | 16075 | 0.7% |
1021 | Bhagalpur | 7178 | 0.3% |
1022 | Gaya | 11127 | 0.5% |
1050 | 154 | 0.0% | |
1110 | Gangtok | 14244 | 0.7% |
1210 | 438 | 0.0% | |
1211 | 201 | 0.0% | |
1281 | 199 | 0.0% | |
1310 | Kohima | 21699 | 1.0% |
1311 | Imphal | 156 | 0.0% |
1400 | 173 | 0.0% | |
1410 | 1141 | 0.1% | |
1420 | 142 | 0.0% | |
1513 | 122 | 0.0% | |
1710 | Shillong | 15067 | 0.7% |
1711 | Tura | 10787 | 0.5% |
1712 | Agartala | 0 | 0.0% |
1810 | Guwahati | 22426 | 1.0% |
1811 | Silchar | 12707 | 0.6% |
1820 | Dibrugarh | 6998 | 0.3% |
1821 | Jorhat | 15237 | 0.7% |
1822 | Tezpur | 13674 | 0.6% |
1900 | 173 | 0.0% | |
1910 | Barddhaman | 10827 | 0.5% |
1911 | Bankura | 9268 | 0.4% |
1912 | Chinsura | 20934 | 1.0% |
1913 | Medinipur | 13089 | 0.6% |
1919 | 147 | 0.0% | |
1920 | Kolkata | 37901 | 1.8% |
1921 | Howrah | 9240 | 0.4% |
1930 | Maldah | 12560 | 0.6% |
1931 | Barhampur | 13022 | 0.6% |
1932 | Siliguri | 13425 | 0.6% |
2010 | Ranchi | 15125 | 0.7% |
2011 | Dumka | 13301 | 0.6% |
2012 | Hazaribag | 16723 | 0.8% |
2013 | Jamshedpur | 6383 | 0.3% |
2019 | 190 | 0.0% | |
2021 | 153 | 0.0% | |
2110 | Bhubaneswar | 7921 | 0.4% |
2111 | Baripada | 7784 | 0.4% |
2112 | Berhampur | 9197 | 0.4% |
2113 | Cuttack | 21058 | 1.0% |
2120 | Sambalpur | 14596 | 0.7% |
2121 | Bhawanipatna | 10619 | 0.5% |
2210 | Raipur | 14389 | 0.7% |
2211 | Ambikapur | 9138 | 0.4% |
2212 | Bilaspur | 8999 | 0.4% |
2213 | Durg | 8770 | 0.4% |
2222 | 144 | 0.0% | |
2224 | 243 | 0.0% | |
2310 | Bhopal | 10856 | 0.5% |
2311 | Chhindwara | 9036 | 0.4% |
2312 | Indore | 6276 | 0.3% |
2313 | Khandwa | 7571 | 0.3% |
2320 | Gwalior | 8393 | 0.4% |
2321 | Ratlam | 9682 | 0.4% |
2322 | Shivpuri | 9992 | 0.5% |
2323 | Ujjain | 9356 | 0.4% |
2330 | Jabalpur | 8705 | 0.4% |
2331 | Rewa | 11889 | 0.5% |
2332 | Sagar | 7445 | 0.3% |
2410 | Ahmedabad | 11524 | 0.5% |
2411 | Bhavnagar | 7378 | 0.3% |
2412 | Jamnagar | 5303 | 0.2% |
2413 | Rajkot | 9569 | 0.4% |
2414 | Surendranagar | 3989 | 0.2% |
2420 | Baroda | 14934 | 0.7% |
2421 | Mahesana | 6195 | 0.3% |
2422 | Nadiad | 8533 | 0.4% |
2423 | Surat | 8920 | 0.4% |
2424 | Valsad | 11706 | 0.5% |
2620 | 209 | 0.0% | |
2710 | Aurangabad | 13467 | 0.6% |
2711 | Jalgaon | 12912 | 0.6% |
2712 | Nanded | 13684 | 0.6% |
2713 | Nashik | 9829 | 0.5% |
2720 | Mumbai | 24533 | 1.1% |
2721 | Thane | 18054 | 0.8% |
2722 | 230 | 0.0% | |
2730 | Nagpur | 23404 | 1.1% |
2731 | Akola | 9430 | 0.4% |
2732 | Amravati | 10582 | 0.5% |
2740 | Pune | 30777 | 1.4% |
2741 | Kolhapur | 14660 | 0.7% |
2742 | Solapur | 9760 | 0.5% |
2790 | 182 | 0.0% | |
2810 | Cuddapah | 14079 | 0.7% |
2811 | Anantapur | 7759 | 0.4% |
2812 | Guntur | 8885 | 0.4% |
2813 | Kurnool | 6926 | 0.3% |
2814 | Nellore | 11515 | 0.5% |
2820 | Hyderabad | 31148 | 1.4% |
2821 | Karimnagar | 12026 | 0.6% |
2822 | Nizamabad | 9698 | 0.4% |
2823 | Warangal | 11562 | 0.5% |
2830 | Vijayawada | 16345 | 0.8% |
2831 | Kakinada | 8760 | 0.4% |
2832 | Visakhapatnam | 16565 | 0.8% |
2874 | 195 | 0.0% | |
2910 | Bangalore | 24107 | 1.1% |
2911 | Mangalore | 8042 | 0.4% |
2912 | Mysore | 12236 | 0.6% |
2913 | Shimoga | 8631 | 0.4% |
2920 | Hubli | 14209 | 0.7% |
2921 | Belgaum | 10384 | 0.5% |
2922 | Bellary | 11282 | 0.5% |
2923 | Gulbarga | 6027 | 0.3% |
2924 | 162 | 0.0% | |
3010 | Panaji | 11810 | 0.5% |
310 | Jalandhar | 0 | 0.0% |
3210 | Kozhikode | 21709 | 1.0% |
3211 | Kannur | 12230 | 0.6% |
3212 | Palakkad | 9337 | 0.4% |
3213 | Thrissur | 9563 | 0.4% |
3220 | Thiruvanantha- puram | 11424 | 0.5% |
3221 | Kochi | 13079 | 0.6% |
3222 | Kollam | 19498 | 0.9% |
3223 | Kottayam | 9083 | 0.4% |
3310 | Coimbatore | 19384 | 0.9% |
3311 | Dharmapuri | 5974 | 0.3% |
3312 | Salem | 10981 | 0.5% |
3313 | Tiruchirappalli | 16324 | 0.8% |
3320 | Chennai | 23780 | 1.1% |
3321 | Cuddalore | 12509 | 0.6% |
3322 | Vellore | 13583 | 0.6% |
3323 | Pondicherry | 14494 | 0.7% |
3330 | Madurai | 15663 | 0.7% |
3331 | Thanjavur | 13130 | 0.6% |
3332 | Tirunelveli | 15058 | 0.7% |
3333 | Virudhunagar | 13236 | 0.6% |
3510 | Port Blair | 12617 | 0.6% |
7710 | 244 | 0.0% | |
8713 | 187 | 0.0% | |
9101 | 146 | 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.