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    Home / Central Data Catalog / DDI-IND-NSSO-66-SCHEDULE-1.0T1 / variable [F19]
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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
218474
Downloads
21263
  • 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

NCO-2004 (NCO_2004)

Data file: Household Characteristics

Overview

Valid: 93759
Invalid: 0
Type: Discrete
Start: 62
End: 64
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
01x 3
0%
02x 2
0%
05x 1
0%
111 Legislators 36
0%
112 Administrative & Executive Officials 307
0.3%
113 Traditional Chiefs and Heads of Villages 13
0%
114 Senior Officials of Special- Interest Organisations. 43
0%
11x 2
0%
121 Directors and Chief Executives 6973
7.4%
122 Production and Operations Department Managers 555
0.6%
123 Other Department Managers 233
0.2%
130 General Managers 177
0.2%
13x 2
0%
15x 5
0%
16x 1
0%
19x 3
0%
211 Physicists, Chemists and Related Professionals 47
0.1%
212 Mathematicians, Statisticians and Rela ted Professionals 7
0%
213 Computing Professionals 147
0.2%
214 Architects, Engineers and Related Professionals 502
0.5%
21x 1
0%
221 Life Science Professionals 90
0.1%
222 Health Professionals (except nursing) 493
0.5%
223 Nursing Professionals 67
0.1%
231 College, University and Higher Education Teaching Professionals 325
0.3%
232 Secondary Education Teaching Professionals 1262
1.3%
233 Other Teaching Professionals 363
0.4%
241 Business Professionals 2292
2.4%
242 Legal Professionals 291
0.3%
243 Archivists, Librarians and Related Information Professionals 20
0%
244 Social Science and Related Professionals 37
0%
245 Writers and Creative or Performing Artists. 113
0.1%
246 Religious Professionals 417
0.4%
25x 2
0%
29x 1
0%
311 Physical and Engineering Science Technicians 294
0.3%
312 Computer Associate Professionals 88
0.1%
313 Optical and Electronic Equipment Operators 95
0.1%
314 Ship and Aircraft Controllers and Technicians 37
0%
315 Safety and Quality Inspectors 29
0%
321 Life Science Technicians and Related Health Associat Professionals 52
0.1%
322 Modern Health Associate Professionals (Except Nursing) 248
0.3%
323 Nursing and Midwifery Associate Professionals 191
0.2%
324 Traditional Medicine Practitioners and Faith Healers 31
0%
32x 1
0%
331 Middle & Primary Education Teaching Associate Professionals 2474
2.6%
332 Pre-Primary Education Teaching Associate Professionals 170
0.2%
333 Special Education Teaching Associate Professionals 27
0%
334 Other Teaching Associate Professionals 97
0.1%
33x 1
0%
341 Finance and Sales Associate Professionals 612
0.7%
342 Business Services Agents and Trade Brokers 198
0.2%
343 Administrative Associate Professionals 586
0.6%
344 Customs, Tax and Related Govt. Associate Professionals 122
0.1%
345 Police Inspectors and Detectives 295
0.3%
346 Social Work Associate Profess ionals 43
0%
347 Artistic, Entertainment and Sports Associate Professionals 80
0.1%
348 Religious Associate Professionals 71
0.1%
35x 2
0%
36x 2
0%
37x 2
0%
40x 6
0%
411 Secretaries and Key Board- Operating Clerks 346
0.4%
412 Numerical Clerks 617
0.7%
413 Material Recording and Transport Clerks 223
0.2%
414 Library, Mail and Related Clerks 191
0.2%
419 Other Office Clerks 1853
2%
41x 3
0%
421 Cashiers, Tellers and Related Clerks 358
0.4%
422 Client Information Clerks 91
0.1%
511 Travel Attendants, Guides and Related Workers 215
0.2%
512 House Keeping and Restaurant Services Workers 971
1%
513 Personal Care and Related Workers 983
1%
514 Other Personal Services Workers 710
0.8%
515 Astrologers, Fortune- Tellers and Related Workers 68
0.1%
516 Protective Services Workers 1224
1.3%
51x 1
0%
521 Fashion and Other Models 16
0%
522 Shop Salespersons and Demonstrators 6607
7%
523 Stall and Market Salespersons 706
0.8%
52x 4
0%
55x 2
0%
611 Market Gardners & Crop Growers 17112
18.3%
612 Market –Oriented Animal Producers and Related Workers 535
0.6%
613 Market- Oriented Crop and Animal Producers 225
0.2%
614 Forestry and Related Workers 241
0.3%
615 Fishery Workers, Hunters and Trappers 343
0.4%
61x 41
0%
620 Subsistence Agricultural and Fishery Workers 875
0.9%
62x 1
0%
63x 1
0%
64x 1
0%
711 Miners, Shot -Firers, Stone Cutters and Carvers 307
0.3%
712 Building Frame and Related Trades Workers 2809
3%
713 Building Finishers and Related Trades Workers 968
1%
714 Painters, Building Structure Cleaners and Related Trades Workers 2391
2.6%
71x 2
0%
721 Metal Moulders, Welders, Sheet Metal Workers, Structural Metal Preparers and Related Trades Workers 403
0.4%
722 Blacksmiths, Toolmakers and Related Trades Workers 273
0.3%
723 Machinery Mechanics and Fitters 901
1%
724 Electrical and Electronic Equipment Mechanics and Fitters 687
0.7%
72x 4
0%
731 Precision Workers in Metal and Related Materials 322
0.3%
732 Potters, Glass Makers and Related Trades Workers 224
0.2%
733 Handicraft Workers in Wood, Textile, Leather and Related Materials 246
0.3%
734 Printing and Related Trades Workers 106
0.1%
741 Food Processing and Related Trades Workers 645
0.7%
742 Wood Treaters, Cabinet Makers and Related Trades 460
0.5%
743 Textile, Garment and Related Trades Workers 1968
2.1%
744 Pelt, Leather and Shoe Making Trades Workers 125
0.1%
811 Mining and Mineral Processing Plant Operators 94
0.1%
812 Metal Processing Plant Operators 68
0.1%
813 Glass, Ceramics and Related Plant Operators 51
0.1%
814 Wood Processing and Paper Making Plant Operators 53
0.1%
815 Chemical- Processing- Plant Operators 84
0.1%
816 Power Production and Related Plant Operators 124
0.1%
817 Automated Assembly Line and Industrial Robot Operators 2
0%
821 Metal and Mineral Products Machine Operators 208
0.2%
822 Chemical Products Machine Operators 59
0.1%
823 Rubber and Plastic Products Machine Operators 86
0.1%
824 Wood Products Machine Operators 17
0%
825 Printing, Binding and Paper Products Machine Operators 66
0.1%
826 Textile, Fur and Leather Products Machine Operators 233
0.2%
827 Food and Related Products Machine Operators 351
0.4%
828 Assemblers 63
0.1%
829 Other Machine Operators and Assemblers 156
0.2%
831 Locomotive Engine Drivers and Related Workers 128
0.1%
832 Motor Vehicle Drivers 3540
3.8%
833 Agricultural and Other Mobile Plant Operators 176
0.2%
834 Ships’ Deck Crews and Related Workers 68
0.1%
911 Street Vendors and Related Workers 968
1%
912 Shoe Cleaning and Other Street Services Elementary Occupations 53
0.1%
913 Domestic and Related Helpers, Cleaners and Launderers 924
1%
914 Building Caretakers, Window and Related Cleaners 103
0.1%
915 Messengers, Porters, Door Keepers and Related Workers 802
0.9%
916 Garbage Collectors and Related Labourers 478
0.5%
91x 2
0%
920 Agricultural, Fishery and Related Labourers 7986
8.5%
92x 4
0%
931 Mining and Construction Labourers 5436
5.8%
932 Manufacturing Labourers 1120
1.2%
933 Transport Labourers and Freight Handlers 1858
2%
93x 6
0%
95x 6
0%
X00 New Workers Seeking Employment 2
0%
X10 Workers Reporting Occupations Unidentifiable or Inadequately Described 159
0.2%
X99 Workers Not Reporting Any Occupations 133
0.1%
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.

Description

Definition
principal occupation (NCO-2004): The principal household occupation ( three digit) gives a clearer idea of the occupation of the household.
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