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    Home / Central Data Catalog / DDI-IND-NSSO-66-SCHEDULE-1.0T1 / variable [V442]
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
220578
Downloads
21353
  • Study Description
  • Data Dictionary
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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: Consumption of cereals, pulses, milk and milk products, sugar and salt during the last 30 days

Overview

Valid: 5310352
Invalid: 0
Type: Discrete
Start: 40
End: 43
Width: 4
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
0000 353881
6.7%
0014 457
0%
0024 357
0%
0030 446
0%
0046 316
0%
0093 760
0%
0100 589
0%
0110 Jammu 43363
0.8%
0111 Udhampur 17104
0.3%
0120 Srinagar 25491
0.5%
0121 Anantnag 25677
0.5%
0122 Baramula 18597
0.4%
0130 374
0%
0170 395
0%
0182 490
0%
0210 Shimla 30865
0.6%
0211 Bilaspur 22837
0.4%
0212 Dharamshala 26860
0.5%
0213 Mandi 22231
0.4%
0231 1346
0%
0282 485
0%
0310 Jalandhar 22798
0.4%
0311 Amritsar 16559
0.3%
0312 Firozpur 27621
0.5%
0313 Hoshiarpur 18088
0.3%
0320 Ludhiana 27734
0.5%
0321 Bathinda 13207
0.2%
0322 Patiala 24367
0.5%
0330 422
0%
0331 391
0%
0380 382
0%
0500 409
0%
0510 Dehradun 54623
1%
0511 Almora 38775
0.7%
0610 Chandigarh 21535
0.4%
0611 Ambala 23822
0.4%
0612 Bhiwani 16910
0.3%
0613 Hisar 18606
0.4%
0614 Karnal 29729
0.6%
0615 Rohtak 33382
0.6%
0706 369
0%
0710 Delhi 41873
0.8%
0810 Ajmer 20289
0.4%
0811 Jodhpur 29274
0.6%
0812 Udaipur 31721
0.6%
0820 Jaipur 44287
0.8%
0821 Alwar 17191
0.3%
0822 Ganganagar 16115
0.3%
0823 Kota 31074
0.6%
0910 Agra 47939
0.9%
0911 Aligarh 27275
0.5%
0912 Meerat 25247
0.5%
0920 Allahabad 22495
0.4%
0921 Azamgrah 29600
0.6%
0922 Faizabad 22224
0.4%
0923 Gorakgpur 38845
0.7%
0924 Varanasi 33299
0.6%
0930 Bareilly 27410
0.5%
0931 Moradabad 26395
0.5%
0932 Sitapur 19193
0.4%
0933 Sharanpur 22844
0.4%
0940 Lucknow 23628
0.4%
0941 Fatehpur 23230
0.4%
0942 Gonda 22333
0.4%
0943 Jhansi 27668
0.5%
0944 Kanpur 13508
0.3%
1010 Muzaffarpur 34206
0.6%
1011 Darbhanga 30898
0.6%
1012 Motihari 25862
0.5%
1013 Purnia 42211
0.8%
1020 Gaya 43604
0.8%
1021 Bhagalpur 20437
0.4%
1022 24232
0.5%
1050 279
0%
1110 Gangtok 39374
0.7%
1210 1340
0%
1211 583
0%
1281 531
0%
1310 Kohima 49727
0.9%
1311 Imphal 307
0%
1400 427
0%
1410 2200
0%
1420 383
0%
1513 403
0%
1710 Shillong 38763
0.7%
1711 Tura 28895
0.5%
1712 Agartala 0
0%
1810 Guwahati 64801
1.2%
1811 Silchar 30834
0.6%
1820 Dibrugarh 16891
0.3%
1821 Jorhat 40910
0.8%
1822 Tezpur 42526
0.8%
1900 504
0%
1910 Barddhaman 28134
0.5%
1911 Bankura 24164
0.5%
1912 Chinsura 49056
0.9%
1913 Medinipur 35044
0.7%
1919 362
0%
1920 Kolkata 92341
1.7%
1921 Howrah 22588
0.4%
1930 Maldah 31517
0.6%
1931 Behrampur 34370
0.6%
1932 Siliguri 32168
0.6%
2010 Ranchi 39523
0.7%
2011 Dumka 32102
0.6%
2012 Hazaribag 45036
0.8%
2013 Jamshedpur 18114
0.3%
2019 530
0%
2021 404
0%
2110 Bhubaneswar 23438
0.4%
2111 Baripada 22104
0.4%
2112 Behrampur 26080
0.5%
2113 Cuttak 61815
1.2%
2120 Sambalpur 40989
0.8%
2121 Bhawanipatn 32720
0.6%
2210 Raipur 37601
0.7%
2211 Ambikapur 22656
0.4%
2212 Bilaspur 20996
0.4%
2213 Durg 23745
0.4%
2222 359
0%
2224 482
0%
2310 Bhopal 26596
0.5%
2311 Chhindwara 20395
0.4%
2312 Khandwa 14255
0.3%
2313 Indore 17122
0.3%
2320 Gwalior 19661
0.4%
2321 Ratlam 18920
0.4%
2322 Shivpuri 23724
0.4%
2323 Ujjain 23941
0.5%
2330 Jabalpur 19177
0.4%
2331 Rewa 28907
0.5%
2332 Sagar 20400
0.4%
2410 Ahmedabad 25627
0.5%
2411 Bhavnagar 17176
0.3%
2412 Jamnagar 11929
0.2%
2413 Rajkot 20296
0.4%
2414 Surendranaga 9058
0.2%
2420 Baroda 35880
0.7%
2421 Mahesana 15207
0.3%
2422 Nadiad 18877
0.4%
2423 Surat 19443
0.4%
2424 Valsad 27761
0.5%
2620 577
0%
2710 Aurangabad 31474
0.6%
2711 Jalgaon 32679
0.6%
2712 Nandel 31530
0.6%
2713 Nashik 22401
0.4%
2720 Mumbai 51982
1%
2721 Thane 40681
0.8%
2722 518
0%
2730 Nagpur 58763
1.1%
2731 Akola 24858
0.5%
2732 Amravati 24319
0.5%
2740 Pune 75648
1.4%
2741 Kolhapur 36652
0.7%
2742 Solapur 24372
0.5%
2790 476
0%
2810 Cuddapah 33664
0.6%
2811 Anantapur 19481
0.4%
2812 Guntur 19781
0.4%
2813 Kurnool 17427
0.3%
2814 Nellore 31529
0.6%
2820 Hyderabad 77000
1.4%
2821 Karimnagar 27251
0.5%
2822 Nizamabad 21711
0.4%
2823 Warangal 25759
0.5%
2830 Vijayawada 38693
0.7%
2831 Kakinada 22443
0.4%
2832 Visakhapatnam 43918
0.8%
2833 Guwahati 0
0%
2874 587
0%
2910 Bangalore 61654
1.2%
2911 Mangalore 21069
0.4%
2912 Mysore 28430
0.5%
2913 Shimoga 22538
0.4%
2920 Hubli 36032
0.7%
2921 Belgaum 25688
0.5%
2922 Bellary 26054
0.5%
2923 Gulbarga 15263
0.3%
2924 Panaji 480
0%
3010 25242
0.5%
3210 Kozhikode 57309
1.1%
3211 Kannur 32124
0.6%
3212 Palakkad 20051
0.4%
3213 Thrissur 26536
0.5%
3220 Thiruvanathapuram 31574
0.6%
3221 Kochi 34735
0.7%
3222 Kollam 45900
0.9%
3223 Kottayam 24153
0.5%
3310 Coimbatore 48586
0.9%
3311 Dharmapuri 16247
0.3%
3312 Salem 27722
0.5%
3313 Tiruchirappali 42674
0.8%
3320 Chennai 56283
1.1%
3321 Cuddalore 26599
0.5%
3322 Vellore 32523
0.6%
3323 Pondicherry 30995
0.6%
3330 Madurai 37295
0.7%
3331 Thanjavur 30956
0.6%
3332 Tirunelveli 38820
0.7%
3333 Virudhunagar 32528
0.6%
3510 Port Blair 35342
0.7%
7710 501
0%
8713 356
0%
9101 394
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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