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    Home / Central Data Catalog / UGA_2016_UNHS_V01_M / variable [F41]
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National Household Survey 2016-2017

Uganda, 2016 - 2017
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Reference ID
UGA_2016_UNHS_v01_M
Producer(s)
Uganda Bureau of Statistics
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
52189
Downloads
532
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • conversion2016.dta
  • CSEC1.dta
  • CSEC1c.dta
  • CSEC1d.dta
  • CSEC1dB10.dta
  • CSEC2A.dta
  • CSEC2B.dta
  • CSEC2C.dta
  • CSEC2D.dta
  • CSEC2DD.dta
  • CSEC3.dta
  • CSEC8.dta
  • CSEC9.dta
  • CSEC10.dta
  • CSEC11a.dta
  • CSEC11b.dta
  • GSEC1.dta
  • GSEC2.dta
  • GSEC3.dta
  • GSEC4.dta
  • GSEC5.dta
  • GSEC6b.dta
  • GSEC6c.dta
  • GSEC6c_1.dta
  • GSEC6d.dta
  • GSEC6e.dta
  • GSEC7a.dta
  • GSEC7b.dta
  • GSEC7c.dta
  • GSEC9.dta
  • GSEC10A.dta
  • GSEC10B.dta
  • GSEC11.dta
  • GSEC12.dta
  • GSEC12B.dta
  • GSEC12C.dta
  • GSEC12D.dta
  • GSEC13a.dta
  • GSEC13b.dta
  • Labour.dta
  • Market.dta
  • pov16.dta
  • pov16_rev1.dta
  • tenp1.dta
  • tenp2.dta
  • tenp3.dta
  • tenp4.dta

SubCategory Level1 - ISCO code (B2_twoDigit)

Data file: Labour.dta

Overview

Valid: 34615
Invalid: 27159
Minimum: -999999999
Maximum: 993
Type: Discrete
Decimal: 0
Start: 342
End: 351
Width: 10
Range: -999999999 - 993
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-999999999 4
0%
11 Chief executives, senior officials and legislators 26
0.1%
12 Administrative and commercial managers 62
0.2%
13 Production and specialized services managers 41
0.1%
14 Hospitality, retail and other services managers 40
0.1%
21 Science and engineering professionals 49
0.1%
22 Health professionals 150
0.4%
23 Teaching professionals 758
2.2%
24 Business and administration professionals 120
0.3%
25 Information and communications technology professionals 8
0%
26 Legal, social and cultural professionals 70
0.2%
31 Science and engineering associate professionals 96
0.3%
32 Health associate professionals 114
0.3%
33 Business and administration associate professionals 69
0.2%
34 Legal, social, cultural and related associate professionals 51
0.1%
35 Information and communications technicians 13
0%
41 General and keyboard clerks 55
0.2%
42 Customer services clerks 34
0.1%
43 Numerical and material recording clerks 20
0.1%
44 Other clerical support workers 29
0.1%
51 Personal service workers 984
2.8%
52 Sales workers 3141
9.1%
53 Personal care workers 43
0.1%
54 Protective services workers 148
0.4%
61 Market-oriented skilled agricultural workers 1633
4.7%
62 Market-oriented skilled forestry, fishery and hunting workers 236
0.7%
63 Subsistence farmers, fishers, hunters and gatherers 19330
55.8%
71 Building and related trades workers, excluding electricians 375
1.1%
72 Metal, machinery and related trades workers 175
0.5%
73 Handicraft and printing workers 175
0.5%
74 Electrical and electronic trades workers 24
0.1%
75 Food processing, wood working, garment and other craft and related trades workers 384
1.1%
81 Stationary plant and machine operators 104
0.3%
82 Assemblers 22
0.1%
83 Drivers and mobile plant operators 617
1.8%
91 Cleaners and helpers 471
1.4%
92 Agricultural, forestry and fishery labourers 3728
10.8%
93 Labourers in mining, construction, manufacturing and transport 625
1.8%
94 Food preparation assistants 103
0.3%
95 Street and related sales and service workers 142
0.4%
96 Refuse workers and other elementary workers 270
0.8%
991 Commissioned armed forces officers 20
0.1%
992 Non-commissioned armed forces officers 17
0%
993 Armed forces occupations, other ranks 39
0.1%
Sysmiss 27159
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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