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Kenya Demographic and Health Survey 2008-09

Kenya, 2008
Kenya National Bureau of Statistics (KNBS)
Created on September 20, 2022 Last modified September 20, 2022 Page views 1400447 Download 790 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Data files
  • KE_Births_Recode
  • KE_Children_Recode
  • KE_Couples_Recode
  • KE_Household_Member_Recode
  • KE_Household_Recode
  • KE_Individual_Recode
  • KE_Male_Recode
CSV JSON

Partner's occupation (V704)

Data file: KE_Children_Recode

Overview

Valid: 5432
Invalid: 647
Minimum: 1
Maximum: 96
Type: Discrete
Decimal: 0
Width: 3
Range: 0 - 96
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Not working 0
0%
1 Armed forces 115
2.1%
11 Government officials 29
0.5%
12 Government administrators 22
0.4%
13 Chief executives and Departmental managers 7
0.1%
14 Non-departmental managers 8
0.1%
15 Other adminstrators and managers 36
0.7%
16 Religious worker, volunteer, traditional healer 32
0.6%
21 Physicists, chemists and other related professionals 2
0%
22 Mathematicians, statisticians and computer professionals 5
0.1%
23 Architects, engineers, surveyors, cartographers 12
0.2%
24 Health and life science professionals 23
0.4%
25 University and other teaching professionals 49
0.9%
26 Lawyers, jurists, judges 5
0.1%
27 Social science and related professionals 4
0.1%
28 Accountants, business professionals 38
0.7%
29 Authors, journalists, sculptors, painters, composers, other 25
0.5%
31 Engineering, electronic, media communication technicians 57
1%
32 Medical, nursing, dental, pharmaceutical, veterinary profess 27
0.5%
33 Physical and life science technicians 6
0.1%
34 Shipping officers, aviators and air traffic controller 8
0.1%
35 Business, securities, insurance professionals 800
14.7%
36 Mid-level personnel 43
0.8%
37 Primary, pre-primary and other educational instructors 122
2.2%
39 Performance workers, athletes, announcers, inspectors 5
0.1%
41 Clerks, cashiers, secretaries, tellers, stenographers 59
1.1%
42 Information clerks, client-related clerks 13
0.2%
51 Shop assistants, fashion models 62
1.1%
52 Undertakers, barbers, hairdressers, astrologers 14
0.3%
53 Cooks, housekeepers, waiters, caterers 145
2.7%
54 Ship/flight attendants, travel guides, transport conductors 85
1.6%
61 Farmers, livestock, poultry, dairy workers 708
13%
62 Fishery workers 214
3.9%
63 Subsistence agriculture and fishery workers 176
3.2%
64 Forestry workers 7
0.1%
65 Hunting, wildlife workers 6
0.1%
71 Mining, building trades workers 64
1.2%
72 Blacksmiths, machinery mechanics, electrical workers 137
2.5%
73 Potters, glassmakers, handicraft workers 11
0.2%
74 Engravers, bookbinders, photographic workers 3
0.1%
75 Butchers, food and drink preparers, food processing workers 57
1%
76 Cabinet makers, woodworkers 116
2.1%
77 Fiber preparers, weavers, tailors, dressmakers 40
0.7%
78 Upholsterers, shoemakers, tanners 19
0.3%
81 Well diggers, mineral product machine operators 9
0.2%
82 Metal workers 47
0.9%
83 Wood processing workers 42
0.8%
84 Petroleum, chemical, pharmaceutical plant operators 9
0.2%
85 Power generating operators 1
0%
86 Food, drink, tobacco processing machine operators 3
0.1%
87 Machinery and product assemblers 2
0%
88 Train, ship, motor vehicle drivers 336
6.2%
89 Plant and machine operators not classified elsewhere 10
0.2%
91 Sales and service laborers 335
6.2%
92 Farming, forestry, fishery laborers 581
10.7%
93 Mining, construction, manufacturing, transport laborers 388
7.1%
94 Unclassified laborers 201
3.7%
95 Not working 31
0.6%
96 Other 21
0.4%
999 264
Sysmiss 383
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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