National Population and Housing Census 2014 - IPUMS Subset
Uganda, 2014
Get Microdata
Reference ID
UGA_2014_PHC_v01_M_v7.5_A_IPUMS
Producer(s)
Uganda Bureau of Statistics, IPUMS
Metadata
Created on
Sep 03, 2025
Last modified
Sep 03, 2025
Page views
9824
- Data files
- UGA2014_PHC-H-H
- UGA2014_PHC-P-H
Occupation (2-digits) (UG2014A_OCC)
Data file: UGA2014_PHC-P-H
Overview
Type:
Discrete
Start:
230
End:
231
Width:
2
Range:
-
Format:
Numeric
Questions and instructions
Literal question
<span class="h2">Section 1: Particulars of household members</span></p>
<p><span class="em">For persons aged 10 years and above</span></p>
<p>P23 What was [the respondent's] main type of work (occupation) during the last 7 days? (Describe in not less than two words) ____
<br />_ _
<p><span class="em">For persons aged 10 years and above</span></p>
<p>P23 What was [the respondent's] main type of work (occupation) during the last 7 days? (Describe in not less than two words) ____
<br />_ _
Categories
| Value | Category |
|---|---|
| 10 | Subsistence agricultural workers |
| 11 | Agricultural, fishery and related labourers |
| 12 | Subsistence animal rearing |
| 13 | Retailers of food and beverage |
| 14 | Retailers of general merchandise and domestic wares |
| 15 | Market oriented gardeners and crop growers |
| 16 | Primary education teaching associate professionals |
| 17 | Restaurant services workers and cooks |
| 18 | General laborers |
| 19 | Stall and market salespersons |
| 20 | Domestic helpers |
| 21 | Motor vehicle drivers |
| 22 | Boda boda riders (motor cycle) |
| 23 | Boda boda riders (bicycle) |
| 24 | Foods and related products processing trades workers |
| 25 | Street vendors and related workers |
| 26 | Other personal services workers |
| 27 | Construction laborers |
| 28 | Textiles, footwear and other personal effects goods |
| 29 | Builders, brick layers, masons and other related workers |
| 30 | Building finishers and related trades workers |
| 31 | Subsistence fishery and related workers |
| 32 | Carpenters, cabinet markers, joiners, brush markers |
| 33 | Forestry and related workers |
| 34 | Fashion and other models sales persons and demonstrators |
| 35 | Textiles and garment trades workers |
| 36 | Machinery mechanics and fitters |
| 37 | Manufacturing laborers |
| 38 | Nurses and midwives |
| 39 | Produce buyers |
| 40 | Secondary education teaching professionals |
| 41 | Protective service workers, policemen, police wardens |
| 42 | Dealers in agricultural and farm products |
| 43 | Messengers, watchers and security workers |
| 44 | Market oriented crop and animal products |
| 45 | Experienced non-professionals in teaching |
| 46 | Market oriented fishery workers, hunters, and trappers |
| 47 | Transport laborers |
| 48 | Foremen, supervisors in elementary occupation services |
| 49 | Travel attendants, guides, conductors |
| 50 | Market oriented animal producers |
| 51 | Cashier, teller, and related clerks, money lender, debt collectors |
| 52 | Metal molders, welders, sheet metal workers, structural and metal prepares |
| 53 | Numerical clerks |
| 54 | Handicraft workers in wood, textiles, and related materials |
| 55 | Secretaries and keyboard operating clerks |
| 56 | Post-primary education teaching associate professionals |
| 57 | Retailers of human drugs |
| 58 | Traditional medicine practitioners and faith healers |
| 59 | Medical assistants |
| 60 | Laborers in mining |
| 61 | Pre-primary educationl teaching associate professionals |
| 62 | Physical science and engineering technicians |
| 63 | Electrical and electronic Instrument mechanics and fitters |
| 64 | Other street elementary occupation services |
| 65 | Religion professionals |
| 66 | Computer assistants and computer equipment operators |
| 67 | Finance and sales associate professionals |
| 68 | Accountants, business administrators, and business professionals |
| 69 | Public and private administrative associate professionals |
| 70 | Client information clerks |
| 96 | Other |
| 99 | NIU (not in universe) |
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.
Description
Definition
This variable indicates the occupation in which the person worked during the past 7 days.
Universe
Uganda 2014: Persons age 10+ who were working, volunteering, or in apprenticeship [discrepancies: none]
concept
Concept