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    Home / Central Data Catalog / DDI-IND-NSSO-66-SCHEDULE-1.0T1 / variable [V570]
central

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

India, 2009 - 2010
Get Microdata
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
220735
Downloads
21366
  • Study Description
  • Data Dictionary
  • Downloads
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  • 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 for purchase and construction (including repair and maintenance) of durable goods for domestic use

Overview

Valid: 3069950
Invalid: 0
Type: Discrete
Start: 40
End: 43
Width: 4
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
0000 192758
6.3%
0014 149
0%
0024 235
0%
0030 287
0%
0046 252
0%
0093 551
0%
0100 293
0%
0110 Jammu 24244
0.8%
0111 Udhampur 10225
0.3%
0120 Srinagar 18035
0.6%
0121 Anantnag 18106
0.6%
0122 Baramula 14112
0.5%
0130 162
0%
0170 242
0%
0182 285
0%
0210 Shimla 17850
0.6%
0211 Bilaspur 12620
0.4%
0212 Dharamshala 14215
0.5%
0213 Mandi 12808
0.4%
0231 886
0%
0282 244
0%
0310 15301
0.5%
0311 Amritsar 10288
0.3%
0312 Firozpur 18000
0.6%
0313 Hoshiarpur 11450
0.4%
0320 Ludhiana 16782
0.5%
0321 Bathinda 8231
0.3%
0322 Patiala 15440
0.5%
0330 278
0%
0331 86
0%
0380 235
0%
0500 260
0%
0510 Dehradun 33995
1.1%
0511 Almora 24548
0.8%
0610 Chandigarh 11860
0.4%
0611 Ambala 14790
0.5%
0612 Bhiwani 10383
0.3%
0613 Hisar 11159
0.4%
0614 Karnal 17914
0.6%
0615 Rohtak 18704
0.6%
0706 235
0%
0710 Delhi 26200
0.9%
0810 Ajmer 14839
0.5%
0811 Jodhpur 21134
0.7%
0812 Udaipur 22874
0.7%
0820 Jaipur 31671
1%
0821 Alwar 11921
0.4%
0822 Ganganagar 11919
0.4%
0823 Kota 20559
0.7%
0910 Agra 30507
1%
0911 Aligarh 17425
0.6%
0912 Meerut 16695
0.5%
0920 Allahabad 14540
0.5%
0921 Azamgarh 18787
0.6%
0922 Faizabad 14445
0.5%
0923 Gorakhpur 25509
0.8%
0924 Varanasi 21560
0.7%
0930 Bareilly 18755
0.6%
0931 Moradabad 17586
0.6%
0932 Saharanpur 12505
0.4%
0933 Sitapur 15345
0.5%
0940 Lucknow 14968
0.5%
0941 Fatehpur 14538
0.5%
0942 Gonda 14737
0.5%
0943 Jhansi 17862
0.6%
0944 Kanpur 9377
0.3%
1010 Muzaffarpur 19869
0.6%
1011 Darbhanga 17128
0.6%
1012 Motihari 13930
0.5%
1013 Purnia 22506
0.7%
1020 Patna 22196
0.7%
1021 Bhagalpur 11037
0.4%
1022 Gaya 13298
0.4%
1050 224
0%
1110 Gangtok 22199
0.7%
1210 253
0%
1211 50
0%
1281 260
0%
1310 Kohima 32990
1.1%
1311 Imphal 225
0%
1400 110
0%
1410 953
0%
1420 145
0%
1513 250
0%
1710 Shillong 23082
0.8%
1711 Tura 15876
0.5%
1712 Agartala 0
0%
1810 Guwahati 29947
1%
1811 Silchar 12851
0.4%
1820 Dibrugarh 6949
0.2%
1821 Jorhat 17700
0.6%
1822 Tezpur 18549
0.6%
1900 276
0%
1910 Barddhaman 16378
0.5%
1911 Bankura 14714
0.5%
1912 Chinsura 24930
0.8%
1913 Medinipur 19756
0.6%
1919 260
0%
1920 Kolkata 50853
1.7%
1921 Howrah 11498
0.4%
1930 Maldah 18175
0.6%
1931 Barhampur 19708
0.6%
1932 Siliguri 19978
0.7%
2010 Ranchi 22586
0.7%
2011 Dumka 21565
0.7%
2012 Hazaribag 24112
0.8%
2013 Jamshedpur 11655
0.4%
2019 247
0%
2021 265
0%
2110 Bhubaneswar 13153
0.4%
2111 Baripada 15649
0.5%
2112 Berhampur 15482
0.5%
2113 Cuttack 32824
1.1%
2120 Sambalpur 27300
0.9%
2121 Bhawanipatna 22679
0.7%
2210 Raipur 23764
0.8%
2211 Ambikapur 15110
0.5%
2212 Bilaspur 13820
0.5%
2213 Durg 14949
0.5%
2222 244
0%
2224 278
0%
2310 Bhopal 15781
0.5%
2311 Chhindwara 14396
0.5%
2312 Indore 8181
0.3%
2313 Khandwa 10813
0.4%
2320 Gwalior 12624
0.4%
2321 Ratlam 11540
0.4%
2322 Shivpuri 15804
0.5%
2323 Ujjain 14743
0.5%
2330 Jabalpur 12144
0.4%
2331 Rewa 19642
0.6%
2332 Sagar 13854
0.5%
2410 Ahmedabad 17096
0.6%
2411 Bhavnagar 10044
0.3%
2412 Jamnagar 7608
0.2%
2413 Rajkot 13075
0.4%
2414 Surendranagar 5977
0.2%
2420 Baroda 21968
0.7%
2421 Mahesana 10042
0.3%
2422 Nadiad 11483
0.4%
2423 Surat 12616
0.4%
2424 Valsad 16627
0.5%
2620 258
0%
2710 Aurangabad 18132
0.6%
2711 Jalgaon 18151
0.6%
2712 Nanded 19705
0.6%
2713 Nashik 12297
0.4%
2720 Mumbai 28820
0.9%
2721 Thane 22738
0.7%
2722 229
0%
2730 Nagpur 33017
1.1%
2731 Akola 13391
0.4%
2732 Amravati 15160
0.5%
2740 Pune 40952
1.3%
2741 Kolhapur 20023
0.7%
2742 Solapur 13852
0.5%
2790 268
0%
2810 Cuddapah 18622
0.6%
2811 Anantapur 10483
0.3%
2812 Guntur 11375
0.4%
2813 Kurnool 9838
0.3%
2814 Nellore 15627
0.5%
2820 Hyderabad 43691
1.4%
2821 Karimnagar 16876
0.5%
2822 Nizamabad 12475
0.4%
2823 Warangal 15871
0.5%
2830 Vijayawada 21075
0.7%
2831 Kakinada 13175
0.4%
2832 Visakhapatnam 24380
0.8%
2874 245
0%
2910 Bangalore 29760
1%
2911 Mangalore 10406
0.3%
2912 Mysore 13313
0.4%
2913 Shimoga 11119
0.4%
2920 Hubli 19194
0.6%
2921 Belgaum 14432
0.5%
2922 Bellary 15565
0.5%
2923 Gulbarga 9785
0.3%
2924 254
0%
3010 Panaji 14166
0.5%
310 Jalandhar 0
0%
3210 Kozhikode 29516
1%
3211 Kannur 17298
0.6%
3212 Palakkad 10184
0.3%
3213 Thrissur 13823
0.5%
3220 Thiruvanantha- puram 15824
0.5%
3221 Kochi 18742
0.6%
3222 Kollam 24415
0.8%
3223 Kottayam 12562
0.4%
3310 Coimbatore 25978
0.8%
3311 Dharmapuri 8924
0.3%
3312 Salem 15393
0.5%
3313 Tiruchirappalli 22517
0.7%
3320 Chennai 28745
0.9%
3321 Cuddalore 14276
0.5%
3322 Vellore 17258
0.6%
3323 Pondicherry 15968
0.5%
3330 Madurai 18615
0.6%
3331 Thanjavur 15818
0.5%
3332 Tirunelveli 20171
0.7%
3333 Virudhunagar 15133
0.5%
3510 Port Blair 13767
0.4%
7710 228
0%
8713 247
0%
9101 229
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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