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    Home / Central Data Catalog / TZA_2015_DHS-MIS_V01_M / variable [F84]
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Demographic and Health Survey and Malaria Indicator Survey 2015-2016

Tanzania, 2015 - 2016
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Reference ID
TZA_2015_DHS-MIS_v01_M
Producer(s)
National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS)
Metadata
DDI/XML JSON
Study website
Created on
Jan 18, 2017
Last modified
Mar 29, 2019
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  • RECH0
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Husband/partner's occupation (v704)

Data file: REC71

Overview

Type: Discrete
Decimal: 0
Start: 21
End: 22
Width: 2
Range: -
Format:

Questions and instructions

Categories
Value Category
0 Unemployed
1 Armed Forces occupations
11 Legislators and administrators
12 Company directors and corporate managers
13 Small business managers and managing supervisors
21 Physical, mathematical and engineering science professionals
22 Life science and health professionals
23 Teaching professionals
24 Other professionals
31 Physical, mathematical and engineering science associate proffesionals
32 Life science and health associate professionals
33 Teaching associate professionals
34 Other associate professionals
41 Office clerks
42 Customer service clerks
51 Personal service workers
52 Protective service workers
53 Salespersons, demonstrators and models
61 Skilled agricultural and fishery workers
62 Subsistence agricultural, forestry, fishery and related workers
63 Subsistence farmers, fishers, hunters and gatherers
71 Extraction and building trades workers
72 Metal and machinery trades workers
73 Precision, handicraft, printing and related trades workers
74 Other crafts and related trades workers
81 Industrial plant operators
82 Stationary machine operators and assemblers
83 Drivers and mobile machinery operators
91 Sales and services elementary occupations
92 Agricultural, forestry fishery and related labourers
93 New workers seeking employment
94 Workers reporting occupations unknown or identifiable
95 Street and related sales and service workers
96 Refuse workers and other elementary workers
97 Other
98 Don't know
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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