Home / Central Data Catalog / KEN-KDHS-2008V01 / variable [F2]
central

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 1400279 Download 790 Documentation in PDF Metadata DDI/XML JSON
CSV JSON

Respondent's occupation (V716)

Data file: KE_Children_Recode

Overview

Valid: 6064
Invalid: 15
Minimum: 0
Maximum: 96
Type: Discrete
Decimal: 0
Width: 3
Range: 0 - 96
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Not currently working, not worked in last year 2588
42.7%
1 Armed forces 4
0.1%
11 Government officials 2
0%
12 Government administrators 1
0%
13 Chief executives and Departmental managers 0
0%
14 Non-departmental managers 1
0%
15 Other adminstrators and managers 9
0.1%
16 Religious worker, volunteer, traditional healer 2
0%
21 Physicists, chemists and other related professionals 0
0%
22 Mathematicians, statisticians and computer professionals 1
0%
23 Architects, engineers, surveyors, cartographers 1
0%
24 Health and life science professionals 11
0.2%
25 University and other teaching professionals 28
0.5%
26 Lawyers, jurists, judges 5
0.1%
27 Social science and related professionals 2
0%
28 Accountants, business professionals 15
0.2%
29 Authors, journalists, sculptors, painters, composers, other 6
0.1%
31 Engineering, electronic, media communication technicians 1
0%
32 Medical, nursing, dental, pharmaceutical, veterinary profess 21
0.3%
33 Physical and life science technicians 2
0%
34 Shipping officers, aviators and air traffic controller 1
0%
35 Business, securities, insurance professionals 853
14.1%
36 Mid-level personnel 3
0%
37 Primary, pre-primary and other educational instructors 106
1.7%
39 Performance workers, athletes, announcers, inspectors 2
0%
41 Clerks, cashiers, secretaries, tellers, stenographers 47
0.8%
42 Information clerks, client-related clerks 6
0.1%
51 Shop assistants, fashion models 46
0.8%
52 Undertakers, barbers, hairdressers, astrologers 88
1.5%
53 Cooks, housekeepers, waiters, caterers 189
3.1%
54 Ship/flight attendants, travel guides, transport conductors 2
0%
61 Farmers, livestock, poultry, dairy workers 542
8.9%
62 Fishery workers 17
0.3%
63 Subsistence agriculture and fishery workers 129
2.1%
64 Forestry workers 2
0%
65 Hunting, wildlife workers 0
0%
71 Mining, building trades workers 25
0.4%
72 Blacksmiths, machinery mechanics, electrical workers 3
0%
73 Potters, glassmakers, handicraft workers 2
0%
74 Engravers, bookbinders, photographic workers 0
0%
75 Butchers, food and drink preparers, food processing workers 27
0.4%
76 Cabinet makers, woodworkers 0
0%
77 Fiber preparers, weavers, tailors, dressmakers 143
2.4%
78 Upholsterers, shoemakers, tanners 1
0%
81 Well diggers, mineral product machine operators 2
0%
82 Metal workers 2
0%
83 Wood processing workers 0
0%
84 Petroleum, chemical, pharmaceutical plant operators 4
0.1%
85 Power generating operators 0
0%
86 Food, drink, tobacco processing machine operators 5
0.1%
87 Machinery and product assemblers 0
0%
88 Train, ship, motor vehicle drivers 0
0%
89 Plant and machine operators not classified elsewhere 1
0%
91 Sales and service laborers 347
5.7%
92 Farming, forestry, fishery laborers 664
10.9%
93 Mining, construction, manufacturing, transport laborers 9
0.1%
94 Unclassified laborers 90
1.5%
95 Not working 0
0%
96 Other 6
0.1%
999 15
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.