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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 1397336 Download 789 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

Respondent's occupation (V716)

Data file: KE_Births_Recode

Overview

Valid: 22460
Invalid: 74
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 7683
34.2%
1 Armed forces 8
0%
11 Government officials 12
0.1%
12 Government administrators 16
0.1%
13 Chief executives and Departmental managers 0
0%
14 Non-departmental managers 7
0%
15 Other adminstrators and managers 34
0.2%
16 Religious worker, volunteer, traditional healer 35
0.2%
21 Physicists, chemists and other related professionals 10
0%
22 Mathematicians, statisticians and computer professionals 2
0%
23 Architects, engineers, surveyors, cartographers 1
0%
24 Health and life science professionals 45
0.2%
25 University and other teaching professionals 121
0.5%
26 Lawyers, jurists, judges 13
0.1%
27 Social science and related professionals 24
0.1%
28 Accountants, business professionals 43
0.2%
29 Authors, journalists, sculptors, painters, composers, other 14
0.1%
31 Engineering, electronic, media communication technicians 2
0%
32 Medical, nursing, dental, pharmaceutical, veterinary profess 87
0.4%
33 Physical and life science technicians 5
0%
34 Shipping officers, aviators and air traffic controller 4
0%
35 Business, securities, insurance professionals 3512
15.6%
36 Mid-level personnel 14
0.1%
37 Primary, pre-primary and other educational instructors 467
2.1%
39 Performance workers, athletes, announcers, inspectors 7
0%
41 Clerks, cashiers, secretaries, tellers, stenographers 169
0.8%
42 Information clerks, client-related clerks 23
0.1%
51 Shop assistants, fashion models 190
0.8%
52 Undertakers, barbers, hairdressers, astrologers 198
0.9%
53 Cooks, housekeepers, waiters, caterers 786
3.5%
54 Ship/flight attendants, travel guides, transport conductors 7
0%
61 Farmers, livestock, poultry, dairy workers 2598
11.6%
62 Fishery workers 64
0.3%
63 Subsistence agriculture and fishery workers 628
2.8%
64 Forestry workers 9
0%
65 Hunting, wildlife workers 0
0%
71 Mining, building trades workers 79
0.4%
72 Blacksmiths, machinery mechanics, electrical workers 12
0.1%
73 Potters, glassmakers, handicraft workers 13
0.1%
74 Engravers, bookbinders, photographic workers 0
0%
75 Butchers, food and drink preparers, food processing workers 122
0.5%
76 Cabinet makers, woodworkers 0
0%
77 Fiber preparers, weavers, tailors, dressmakers 429
1.9%
78 Upholsterers, shoemakers, tanners 5
0%
81 Well diggers, mineral product machine operators 14
0.1%
82 Metal workers 2
0%
83 Wood processing workers 0
0%
84 Petroleum, chemical, pharmaceutical plant operators 6
0%
85 Power generating operators 0
0%
86 Food, drink, tobacco processing machine operators 31
0.1%
87 Machinery and product assemblers 0
0%
88 Train, ship, motor vehicle drivers 8
0%
89 Plant and machine operators not classified elsewhere 1
0%
91 Sales and service laborers 1354
6%
92 Farming, forestry, fishery laborers 3118
13.9%
93 Mining, construction, manufacturing, transport laborers 45
0.2%
94 Unclassified laborers 370
1.6%
95 Not working 0
0%
96 Other 13
0.1%
999 74
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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