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    Home / Central Data Catalog / DDI-IND-NSSO-66-SCHEDULE-1.0T1 / variable [V613]
central

Household Consumer Expenditure Type-1, July 2009 - June 2010
NSS 66th Round

India, 2009 - 2010
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Reference ID
DDI-IND-NSSO-66-SCHEDULE-1.0T1
Producer(s)
National Sample Survey Office,NSSO
Collections
Household Consumption Expenditure
Metadata
DDI/XML JSON
Created on
Jan 18, 2018
Last modified
Mar 27, 2019
Page views
220712
Downloads
21366
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Identification
    of Sample
    Household
  • Household
    Characteristics
  • Demographic and
    other
    particulars of
    household
    members
  • Consumption of
    cereals,
    pulses, milk
    and milk
    products, sugar
    and salt during
    the last 30
    days
  • Summary of
    comsumer
    expenditure
  • Consumption of
    clothing,
    bedding and
    footwear during
    last 30 and
    365 days
  • Expenditure on
    education and
    medical
    (institutional)
    goods and
    services
  • Expenditure for
    purchase and
    construction
    (including
    repair and
    maintenance) of
    durable goods
    for domestic
    use
  • Expenditure on
    miscellaneous
    goods and
    services
    including
    medical
    (non-institutional),
    rents and taxes
    during the last
    30 days

FOD Sub-Region (FOD_Sub_Region)

Data file: Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days

Overview

Valid: 2163756
Invalid: 0
Type: Discrete
Start: 40
End: 43
Width: 4
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
0000 143422
6.6%
0014 177
0%
0024 170
0%
0030 240
0%
0046 170
0%
0093 291
0%
0100 309
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%
0170 131
0%
0182 155
0%
0210 Shimla 12057
0.6%
0211 Bilaspur 9780
0.5%
0212 Dharamshala 11068
0.5%
0213 Mandi 8790
0.4%
0231 693
0%
0282 185
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%
0331 129
0%
0380 193
0%
0500 181
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%
0710 Delhi 22707
1%
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%
1110 Gangtok 14244
0.7%
1210 438
0%
1211 201
0%
1281 199
0%
1310 Kohima 21699
1%
1311 Imphal 156
0%
1400 173
0%
1410 1141
0.1%
1420 142
0%
1513 122
0%
1710 Shillong 15067
0.7%
1711 Tura 10787
0.5%
1712 Agartala 0
0%
1810 Guwahati 22426
1%
1811 Silchar 12707
0.6%
1820 Dibrugarh 6998
0.3%
1821 Jorhat 15237
0.7%
1822 Tezpur 13674
0.6%
1900 173
0%
1910 Barddhaman 10827
0.5%
1911 Bankura 9268
0.4%
1912 Chinsura 20934
1%
1913 Medinipur 13089
0.6%
1919 147
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%
2021 153
0%
2110 Bhubaneswar 7921
0.4%
2111 Baripada 7784
0.4%
2112 Berhampur 9197
0.4%
2113 Cuttack 21058
1%
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%
2224 243
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%
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%
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%
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%
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%
3010 Panaji 11810
0.5%
310 Jalandhar 0
0%
3210 Kozhikode 21709
1%
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%
8713 187
0%
9101 146
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.
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