AI Job Atlas
AI & jobs · District in Uganda

Kole

District UG-326
11%
of jobs here are estimated to be exposed to generative AI, below the national 12% (−1.4 pts).
MODEL50th of 112 regions14K exposed workers

Key numbers

PopulationWIKIDATA
294K
as of 2024
Share of national populationWIKIDATA
0.6%
46th largest of 112
People in workMODEL
130K
national total × population share
Highest-exposure jobsMODEL
0.6%
national 0.7%
Area
735 km²
400 people per km²
Settlement patternMODEL
Rural
0% live in major cities
Mapped towns & cities
0
Natural Earth places

AI use

The Anthropic Economic Index does not publish usage for this region. Regions below a minimum number of sampled conversations are left out.

Sector mix

MODEL

Estimated share of jobs by sector, against the national mix.

Kole Uganda
Agriculture 73.8%
Retail & wholesale 9.2%
Manufacturing 3.3%
Transport & logistics 2.9%
Other services 2.6%
Construction 2.1%
Hospitality 1.7%
Education 1.2%
Health & care 0.9%
Public admin 0.8%
Business services 0.8%
Mining 0.3%
ICT & software 0.1%
Finance 0.1%
Utilities 0.1%

Exposed workers by sector

MODEL
Agriculture 6,652 Retail & wholesale 3,141 Other services 738 Education 640 Hospitality 528 Transport & logistics 477 Manufacturing 462 Health & care 405

Ranking in Uganda

MODEL

By modelled AI exposure, out of 112 regions.

47Bugiri 11% 48Mitooma 11% 49Koboko 11% 50Kole 11% 51Namutumba 11% 52Kyegegwa 11% 53Bukomansimbi 11%
About these estimates. No source publishes AI exposure by region for every country. The model splits Uganda's real ILO sector employment across regions using population (Wikidata) and density: denser, capital-city regions get more finance, ICT and professional jobs, and rural regions more farming. Totals match national figures. AI usage figures are measured, not modelled. Methodology

Other regions of Uganda

All of Uganda →