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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 1405017 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_Couples_Recode

Overview

Valid: 1390
Invalid: 41
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 23
1.7%
11 Government officials 6
0.4%
12 Government administrators 8
0.6%
13 Chief executives and Departmental managers 1
0.1%
14 Non-departmental managers 1
0.1%
15 Other adminstrators and managers 14
1%
16 Religious worker, volunteer, traditional healer 12
0.9%
21 Physicists, chemists and other related professionals 1
0.1%
22 Mathematicians, statisticians and computer professionals 4
0.3%
23 Architects, engineers, surveyors, cartographers 4
0.3%
24 Health and life science professionals 8
0.6%
25 University and other teaching professionals 21
1.5%
26 Lawyers, jurists, judges 3
0.2%
27 Social science and related professionals 3
0.2%
28 Accountants, business professionals 19
1.4%
29 Authors, journalists, sculptors, painters, composers, other 7
0.5%
31 Engineering, electronic, media communication technicians 20
1.4%
32 Medical, nursing, dental, pharmaceutical, veterinary profess 9
0.6%
33 Physical and life science technicians 1
0.1%
34 Shipping officers, aviators and air traffic controller 2
0.1%
35 Business, securities, insurance professionals 209
15%
36 Mid-level personnel 5
0.4%
37 Primary, pre-primary and other educational instructors 38
2.7%
39 Performance workers, athletes, announcers, inspectors 1
0.1%
41 Clerks, cashiers, secretaries, tellers, stenographers 11
0.8%
42 Information clerks, client-related clerks 4
0.3%
51 Shop assistants, fashion models 11
0.8%
52 Undertakers, barbers, hairdressers, astrologers 4
0.3%
53 Cooks, housekeepers, waiters, caterers 32
2.3%
54 Ship/flight attendants, travel guides, transport conductors 11
0.8%
61 Farmers, livestock, poultry, dairy workers 202
14.5%
62 Fishery workers 35
2.5%
63 Subsistence agriculture and fishery workers 44
3.2%
64 Forestry workers 2
0.1%
65 Hunting, wildlife workers 0
0%
71 Mining, building trades workers 20
1.4%
72 Blacksmiths, machinery mechanics, electrical workers 22
1.6%
73 Potters, glassmakers, handicraft workers 5
0.4%
74 Engravers, bookbinders, photographic workers 1
0.1%
75 Butchers, food and drink preparers, food processing workers 13
0.9%
76 Cabinet makers, woodworkers 25
1.8%
77 Fiber preparers, weavers, tailors, dressmakers 7
0.5%
78 Upholsterers, shoemakers, tanners 4
0.3%
81 Well diggers, mineral product machine operators 1
0.1%
82 Metal workers 11
0.8%
83 Wood processing workers 10
0.7%
84 Petroleum, chemical, pharmaceutical plant operators 1
0.1%
85 Power generating operators 1
0.1%
86 Food, drink, tobacco processing machine operators 3
0.2%
87 Machinery and product assemblers 1
0.1%
88 Train, ship, motor vehicle drivers 75
5.4%
89 Plant and machine operators not classified elsewhere 1
0.1%
91 Sales and service laborers 85
6.1%
92 Farming, forestry, fishery laborers 157
11.3%
93 Mining, construction, manufacturing, transport laborers 105
7.6%
94 Unclassified laborers 54
3.9%
95 Not working 8
0.6%
96 Other 4
0.3%
999 41
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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