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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 1407760 Download 791 Documentation in PDF Metadata DDI/XML JSON
  • Study description
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  • 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_Individual_Recode

Overview

Valid: 5672
Invalid: 2772
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 135
2.4%
11 Government officials 40
0.7%
12 Government administrators 36
0.6%
13 Chief executives and Departmental managers 11
0.2%
14 Non-departmental managers 8
0.1%
15 Other adminstrators and managers 65
1.1%
16 Religious worker, volunteer, traditional healer 42
0.7%
21 Physicists, chemists and other related professionals 3
0.1%
22 Mathematicians, statisticians and computer professionals 9
0.2%
23 Architects, engineers, surveyors, cartographers 23
0.4%
24 Health and life science professionals 24
0.4%
25 University and other teaching professionals 74
1.3%
26 Lawyers, jurists, judges 10
0.2%
27 Social science and related professionals 9
0.2%
28 Accountants, business professionals 64
1.1%
29 Authors, journalists, sculptors, painters, composers, other 31
0.5%
31 Engineering, electronic, media communication technicians 81
1.4%
32 Medical, nursing, dental, pharmaceutical, veterinary profess 50
0.9%
33 Physical and life science technicians 7
0.1%
34 Shipping officers, aviators and air traffic controller 11
0.2%
35 Business, securities, insurance professionals 813
14.3%
36 Mid-level personnel 34
0.6%
37 Primary, pre-primary and other educational instructors 165
2.9%
39 Performance workers, athletes, announcers, inspectors 5
0.1%
41 Clerks, cashiers, secretaries, tellers, stenographers 80
1.4%
42 Information clerks, client-related clerks 23
0.4%
51 Shop assistants, fashion models 63
1.1%
52 Undertakers, barbers, hairdressers, astrologers 12
0.2%
53 Cooks, housekeepers, waiters, caterers 155
2.7%
54 Ship/flight attendants, travel guides, transport conductors 68
1.2%
61 Farmers, livestock, poultry, dairy workers 702
12.4%
62 Fishery workers 185
3.3%
63 Subsistence agriculture and fishery workers 164
2.9%
64 Forestry workers 6
0.1%
65 Hunting, wildlife workers 4
0.1%
71 Mining, building trades workers 57
1%
72 Blacksmiths, machinery mechanics, electrical workers 156
2.8%
73 Potters, glassmakers, handicraft workers 9
0.2%
74 Engravers, bookbinders, photographic workers 1
0%
75 Butchers, food and drink preparers, food processing workers 58
1%
76 Cabinet makers, woodworkers 102
1.8%
77 Fiber preparers, weavers, tailors, dressmakers 51
0.9%
78 Upholsterers, shoemakers, tanners 18
0.3%
81 Well diggers, mineral product machine operators 8
0.1%
82 Metal workers 42
0.7%
83 Wood processing workers 44
0.8%
84 Petroleum, chemical, pharmaceutical plant operators 11
0.2%
85 Power generating operators 2
0%
86 Food, drink, tobacco processing machine operators 4
0.1%
87 Machinery and product assemblers 4
0.1%
88 Train, ship, motor vehicle drivers 379
6.7%
89 Plant and machine operators not classified elsewhere 9
0.2%
91 Sales and service laborers 309
5.4%
92 Farming, forestry, fishery laborers 576
10.2%
93 Mining, construction, manufacturing, transport laborers 375
6.6%
94 Unclassified laborers 180
3.2%
95 Not working 37
0.7%
96 Other 28
0.5%
999 232
Sysmiss 2540
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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