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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
52761
Downloads
532
  • Study Description
  • Data Dictionary
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  • 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

What was the main reason that you were absent from your job or business last wee (A6)

Data file: Labour.dta

Overview

Valid: 2573
Invalid: 59201
Minimum: 10
Maximum: 21
Type: Discrete
Decimal: 0
Start: 86
End: 87
Width: 2
Range: 10 - 21
Format: Numeric

Questions and instructions

Categories
Value Category Cases
10 Own illness, injury, temporary disability 523
20.3%
11 Pregnancy 98
3.8%
12 Holiday, vacation 114
4.4%
13 Personal, family responsibilities 479
18.6%
14 Education leave or training (outside the place of work) 148
5.8%
15 Strike 2
0.1%
16 Temporary lay-off (with formal job attachment) 46
1.8%
17 Lock-out 2
0.1%
18 Reduction in economic activity 153
5.9%
19 Temporary disorganization, suspension of work (bad weather, mechanical, Electrical breakdown, shortage of raw materials, fuel, etc) 323
12.6%
20 Other involuntary (economic) reason 136
5.3%
21 Slack period, off season 549
21.3%
Sysmiss 59201
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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