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    Home / Central Data Catalog / UGA_2022_HHR-LMS_V01_M / variable [F5]
central

Harmonized Host and Refugee Labor Market Survey 2022

Uganda, 2022
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Reference ID
UGA_2022_HHR-LMS_v01_M
Producer(s)
Fafo Institute for Labor and Social Research
Metadata
DDI/XML JSON
Created on
Dec 17, 2024
Last modified
Dec 17, 2024
Page views
56256
Downloads
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  • Study Description
  • Data Dictionary
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  • Data files
  • uga_hh_roster_user_adaptive_w.dta
  • uga_hh_main_user_adaptive_w.dta
  • uga_hh_main_user_weights.dta
  • uga_roster_user_weights.dta
  • uga_rs_main_user_adaptive_w.dta
  • uga_rsi_main_user_weights.dta

Please select the specific economic activity the person was engaged in (MB706)

Data file: uga_rs_main_user_adaptive_w.dta

Overview

Valid: 316
Invalid: 1588
Minimum: 11
Maximum: 310
Type: Discrete
Decimal: 0
Start: 712
End: 714
Width: 3
Range: 11 - 310
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Farming own plot 10
3.2%
12 Farming another person’s plot for money 1
0.3%
13 Farming a shared plot 0
0%
14 Middleman for farming crops 1
0.3%
15 Animal/livestock husbandry/Fishing 3
0.9%
21 Hawking (not owning any shops) 7
2.2%
22 Stalls (no physical shop) 5
1.6%
23 Small shop 19
6%
24 Medium/Large shop 25
7.9%
25 Brokerage 0
0%
26 Selling firewood/ charcoal 0
0%
27 Online shop (and do not have a physical shop) 0
0%
31 Restaurant 24
7.6%
32 Bar/Cafe 3
0.9%
33 Fast-food stand 16
5.1%
34 Cooking for others/NGOs, catering 3
0.9%
35 Brewery 0
0%
36 Butchery 0
0%
37 Fishery 0
0%
38 Dairy 1
0.3%
39 Bakery 5
1.6%
41 Barber/Beauty/Hairsalon/henna tattoo 7
2.2%
42 Hair plaiting/beauty services (without shop) 9
2.8%
43 Nail art 0
0%
51 Cinema 1
0.3%
52 Music shop 0
0%
53 DVD shop 0
0%
54 Artist 0
0%
55 Gambling / Sport Pesa 1
0.3%
61 Tailoring 11
3.5%
62 Selling clothing/ textiles/ shoes/accessories 16
5.1%
71 Construction workers/Brick makers 3
0.9%
72 Cleaners/housemaid 4
1.3%
73 Security guards/watch-man 0
0%
74 Shoe-shining /repairing 0
0%
75 Doing HH chores for others 4
1.3%
76 Daily casual labour 4
1.3%
77 Porters 1
0.3%
78 Factory workers 1
0.3%
79 Garbage collection 0
0%
81 Electrician 2
0.6%
82 Plumber 1
0.3%
83 Carpenter 3
0.9%
84 Auto mechanic 9
2.8%
85 Bicycle mechanic 0
0%
86 General mechanic 1
0.3%
87 Carwash 0
0%
88 Craft-making 1
0.3%
91 Selling mobile phone credit 1
0.3%
92 Phone charging 0
0%
93 Internet cafe 0
0%
94 Computer-related services and programming 0
0%
101 Money transfer 6
1.9%
102 Forex bureau 2
0.6%
103 Money lender 0
0%
104 Gold/silver/Jewelry seller 1
0.3%
111 Photography shop 1
0.3%
112 Computer/Hardware 0
0%
113 Travel agency 0
0%
121 Bajaj/Boda-boda/tuk-tuk 6
1.9%
122 Taxi/mini-bus/Matatu 36
11.4%
123 Parking 1
0.3%
124 Commercial goods transportation 8
2.5%
125 Petro station 0
0%
131 Hotel /Guesthouse 0
0%
141 Teacher/School (elementary, secondary school, religious) 16
5.1%
142 Language instructor/Translator 1
0.3%
143 Professor/Lecturer (university level) 1
0.3%
144 Research assistant/Researcher 0
0%
145 Tutoring 0
0%
151 Pharmacy 3
0.9%
152 Doctors/Nurse 13
4.1%
161 Architect/ Lawyer/Engineer 2
0.6%
162 Office worker (clerk, bookkeeper…) 10
3.2%
171 Government/community official 3
0.9%
172 Utility (provision of electricity/water) 0
0%
173 Police officer/Military service 0
0%
174 Community worker/mobilization 2
0.6%
175 Paid community work 0
0%
181 Religion (priest, pastor, imam, evangelist) 0
0%
310 Milling 1
0.3%
710 Fetching water for money 0
0%
Sysmiss 1588
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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