Kenya Demographic and Health Survey 2008-09

Kenya, 2008

Kenya National Bureau of Statistics (KNBS)

CSV JSON

Respondent's occupation (MV716)

Data file: KE_Male_Recode

Overview

Valid: 3417

Invalid: 48

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	437	12.8%
1	Armed forces	35	1%
11	Government officials	8	0.2%
12	Government administrators	8	0.2%
13	Chief executives and Departmental managers	1	0%
14	Non-departmental managers	1	0%
15	Other adminstrators and managers	25	0.7%
16	Religious worker/ volunteer/ traditional healer	13	0.4%
21	Physicists, chemists and other related professionals	2	0.1%
22	Mathematicians, statisticians and computer professionals	9	0.3%
23	Architects, engineers, surveyors, cartographers	8	0.2%
24	Health and life science professionals	14	0.4%
25	University and other teaching professionals	30	0.9%
26	Lawyers, jurists, judges	6	0.2%
27	Social science and related professionals	7	0.2%
28	Accountants, business professionals	31	0.9%
29	Authors, journalists, sculptors, painters, composers, other	24	0.7%
31	Engineering, electronic, media communication technicians	35	1%
32	Medical, nursing, dental, pharmaceutical, veterinary profess	18	0.5%
33	Physical and life science technicians	4	0.1%
34	Shipping officers, aviators and air traffic controller	3	0.1%
35	Business, securities, insurance professionals	305	8.9%
36	Mid-level personnel	4	0.1%
37	Primary, pre-primary and other educational instructors	67	2%
39	Performance workers, athletes, announcers, inspectors	6	0.2%
41	Clerks, cashiers, secretaries, tellers, stenographers	27	0.8%
42	Information clerks, client-related clerks	10	0.3%
51	Shop assistants, fashion models	42	1.2%
52	Undertakers, barbers, hairdressers, astrologers	17	0.5%
53	Cooks, housekeepers, waiters, caterers	89	2.6%
54	Ship/flight attendants, travel guides, transport conductors	32	0.9%
61	Farmers, livestock, poultry, dairy workers	416	12.2%
62	Fishery workers	75	2.2%
63	Subsistence agriculture and fishery workers	208	6.1%
64	Forestry workers	5	0.1%
65	Hunting, wildlife workers	0	0%
71	Mining, building trades workers	31	0.9%
72	Blacksmiths, machinery mechanics, electrical workers	55	1.6%
73	Potters, glassmakers, handicraft workers	3	0.1%
74	Engravers, bookbinders, photographic workers	3	0.1%
75	Butchers, food and drink preparers, food processing workers	40	1.2%
76	Cabinet makers, woodworkers	46	1.3%
77	Fiber preparers, weavers, tailors, dressmakers	21	0.6%
78	Upholsterers, shoemakers, tanners	4	0.1%
81	Well diggers, mineral product machine operators	5	0.1%
82	Metal workers	29	0.8%
83	Wood processing workers	13	0.4%
84	Petroleum, chemical, pharmaceutical plant operators	4	0.1%
85	Power generating operators	0	0%
86	Food, drink, tobacco processing machine operators	1	0%
87	Machinery and product assemblers	3	0.1%
88	Train, ship, motor vehicle drivers	138	4%
89	Plant and machine operators not classified elsewhere	11	0.3%
91	Sales and service laborers	179	5.2%
92	Farming, forestry, fishery laborers	465	13.6%
93	Mining, construction, manufacturing, transport laborers	195	5.7%
94	Unclassified laborers	112	3.3%
95	Reported currently working, but no occupation	31	0.9%
96	Other	6	0.2%
999		48

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.