Kenya Demographic and Health Survey 2008-09

Kenya, 2008

Kenya National Bureau of Statistics (KNBS)

CSV JSON

Partner's occupation (V704)

Data file: KE_Births_Recode

Overview

Valid: 20634

Invalid: 1900

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	436	2.1%
11	Government officials	133	0.6%
12	Government administrators	148	0.7%
13	Chief executives and Departmental managers	26	0.1%
14	Non-departmental managers	25	0.1%
15	Other adminstrators and managers	166	0.8%
16	Religious worker, volunteer, traditional healer	142	0.7%
21	Physicists, chemists and other related professionals	7	0%
22	Mathematicians, statisticians and computer professionals	19	0.1%
23	Architects, engineers, surveyors, cartographers	56	0.3%
24	Health and life science professionals	72	0.3%
25	University and other teaching professionals	219	1.1%
26	Lawyers, jurists, judges	19	0.1%
27	Social science and related professionals	24	0.1%
28	Accountants, business professionals	129	0.6%
29	Authors, journalists, sculptors, painters, composers, other	117	0.6%
31	Engineering, electronic, media communication technicians	219	1.1%
32	Medical, nursing, dental, pharmaceutical, veterinary profess	117	0.6%
33	Physical and life science technicians	30	0.1%
34	Shipping officers, aviators and air traffic controller	29	0.1%
35	Business, securities, insurance professionals	2701	13.1%
36	Mid-level personnel	116	0.6%
37	Primary, pre-primary and other educational instructors	601	2.9%
39	Performance workers, athletes, announcers, inspectors	8	0%
41	Clerks, cashiers, secretaries, tellers, stenographers	264	1.3%
42	Information clerks, client-related clerks	98	0.5%
51	Shop assistants, fashion models	187	0.9%
52	Undertakers, barbers, hairdressers, astrologers	26	0.1%
53	Cooks, housekeepers, waiters, caterers	528	2.6%
54	Ship/flight attendants, travel guides, transport conductors	192	0.9%
61	Farmers, livestock, poultry, dairy workers	3265	15.8%
62	Fishery workers	717	3.5%
63	Subsistence agriculture and fishery workers	708	3.4%
64	Forestry workers	24	0.1%
65	Hunting, wildlife workers	17	0.1%
71	Mining, building trades workers	223	1.1%
72	Blacksmiths, machinery mechanics, electrical workers	428	2.1%
73	Potters, glassmakers, handicraft workers	18	0.1%
74	Engravers, bookbinders, photographic workers	3	0%
75	Butchers, food and drink preparers, food processing workers	221	1.1%
76	Cabinet makers, woodworkers	424	2.1%
77	Fiber preparers, weavers, tailors, dressmakers	152	0.7%
78	Upholsterers, shoemakers, tanners	71	0.3%
81	Well diggers, mineral product machine operators	30	0.1%
82	Metal workers	142	0.7%
83	Wood processing workers	142	0.7%
84	Petroleum, chemical, pharmaceutical plant operators	27	0.1%
85	Power generating operators	6	0%
86	Food, drink, tobacco processing machine operators	11	0.1%
87	Machinery and product assemblers	9	0%
88	Train, ship, motor vehicle drivers	1106	5.4%
89	Plant and machine operators not classified elsewhere	41	0.2%
91	Sales and service laborers	1163	5.6%
92	Farming, forestry, fishery laborers	2553	12.4%
93	Mining, construction, manufacturing, transport laborers	1371	6.6%
94	Unclassified laborers	680	3.3%
95	Not working	141	0.7%
96	Other	87	0.4%
999		1054
Sysmiss		846

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.