Harmonized Host and Refugee Labor Market Survey 2022
Uganda, 2022
Get MicrodataCreated on
Dec 17, 2024
Last modified
Dec 17, 2024
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Please select the specific economic activity the person is engaged in (LM623)
Data file: uga_rs_main_user_adaptive_w.dta
Overview
Valid:
799
Invalid:
1105
Minimum:
11
Maximum:
181
Type:
Discrete
Decimal:
0
Start:
332
End:
334
Width:
3
Range:
11 - 181
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Farming own plot | 8 |
1%
|
| 12 | Farming another person’s plot for money | 0 |
0%
|
| 13 | Farming a shared plot | 1 |
0.1%
|
| 14 | Middleman for farming crops | 1 |
0.1%
|
| 15 | Animal/livestock husbandry/Fishing | 3 |
0.4%
|
| 21 | Hawking (not owning any shops) | 51 |
6.4%
|
| 22 | Stalls (no physical shop) | 26 |
3.3%
|
| 23 | Small shop | 68 |
8.5%
|
| 24 | Medium/Large shop | 45 |
5.6%
|
| 25 | Brokerage | 3 |
0.4%
|
| 26 | Selling firewood/ charcoal | 4 |
0.5%
|
| 27 | Online shop (and do not have a physical shop) | 1 |
0.1%
|
| 31 | Restaurant | 64 |
8%
|
| 32 | Bar/Cafe | 4 |
0.5%
|
| 33 | Fast-food stand | 84 |
10.5%
|
| 34 | Cooking for others/NGOs, catering | 11 |
1.4%
|
| 35 | Brewery | 2 |
0.3%
|
| 36 | Butchery | 2 |
0.3%
|
| 37 | Fishery | 1 |
0.1%
|
| 38 | Dairy | 0 |
0%
|
| 39 | Bakery | 10 |
1.3%
|
| 41 | Barber/Beauty/Hairsalon/henna tattoo | 20 |
2.5%
|
| 42 | Hair plaiting/beauty services (without shop) | 32 |
4%
|
| 43 | Nail art | 2 |
0.3%
|
| 51 | Cinema | 1 |
0.1%
|
| 52 | Music shop | 3 |
0.4%
|
| 53 | DVD shop | 0 |
0%
|
| 54 | Artist | 2 |
0.3%
|
| 55 | Gambling / Sport Pesa | 3 |
0.4%
|
| 61 | Tailoring | 30 |
3.8%
|
| 62 | Selling clothing/ textiles/ shoes/accessories | 51 |
6.4%
|
| 71 | Construction workers/Brick makers | 21 |
2.6%
|
| 72 | Cleaners/housemaid | 26 |
3.3%
|
| 73 | Security guards/watch-man | 8 |
1%
|
| 74 | Shoe-shining /repairing | 1 |
0.1%
|
| 75 | Doing HH chores for others | 5 |
0.6%
|
| 76 | Daily casual labour | 16 |
2%
|
| 77 | Porters | 2 |
0.3%
|
| 78 | Factory workers | 6 |
0.8%
|
| 79 | Garbage collection | 0 |
0%
|
| 81 | Electrician | 5 |
0.6%
|
| 82 | Plumber | 2 |
0.3%
|
| 83 | Carpenter | 6 |
0.8%
|
| 84 | Auto mechanic | 9 |
1.1%
|
| 85 | Bicycle mechanic | 1 |
0.1%
|
| 86 | General mechanic | 7 |
0.9%
|
| 87 | Carwash | 0 |
0%
|
| 88 | Craft-making | 3 |
0.4%
|
| 91 | Selling mobile phone credit | 0 |
0%
|
| 92 | Phone charging | 0 |
0%
|
| 93 | Internet cafe | 0 |
0%
|
| 94 | Computer-related services and programming | 3 |
0.4%
|
| 101 | Money transfer | 7 |
0.9%
|
| 102 | Forex bureau | 0 |
0%
|
| 103 | Money lender | 1 |
0.1%
|
| 104 | Gold/silver/Jewelry seller | 0 |
0%
|
| 111 | Photography shop | 3 |
0.4%
|
| 112 | Computer/Hardware | 3 |
0.4%
|
| 113 | Travel agency | 5 |
0.6%
|
| 121 | Bajaj/Boda-boda/tuk-tuk | 19 |
2.4%
|
| 122 | Taxi/mini-bus/Matatu | 14 |
1.8%
|
| 123 | Parking | 2 |
0.3%
|
| 124 | Commercial goods transportation | 6 |
0.8%
|
| 125 | Petro station | 1 |
0.1%
|
| 131 | Hotel /Guesthouse | 6 |
0.8%
|
| 141 | Teacher/School (elementary, secondary school, religious) | 30 |
3.8%
|
| 142 | Language instructor/Translator | 4 |
0.5%
|
| 143 | Professor/Lecturer (university level) | 1 |
0.1%
|
| 144 | Research assistant/Researcher | 0 |
0%
|
| 145 | Tutoring | 1 |
0.1%
|
| 151 | Pharmacy | 3 |
0.4%
|
| 152 | Doctors/Nurse | 9 |
1.1%
|
| 161 | Architect/ Lawyer/Engineer | 4 |
0.5%
|
| 162 | Office worker (clerk, bookkeeper…) | 12 |
1.5%
|
| 171 | Government/community official | 5 |
0.6%
|
| 172 | Utility (provision of electricity/water) | 0 |
0%
|
| 173 | Police officer/Military service | 2 |
0.3%
|
| 174 | Community worker/mobilization | 2 |
0.3%
|
| 175 | Paid community work | 2 |
0.3%
|
| 181 | Religion (priest, pastor, imam, evangelist) | 3 |
0.4%
|
| 310 | Milling | 0 |
0%
|
| 710 | Fetching water for money | 0 |
0%
|
| Sysmiss | 1105 |
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.