AI Job Atlas
AI & jobs · District in Uganda

Lira

District UG-307 Largest city: Lira
17%
of jobs here are estimated to be exposed to generative AI, above the national 12% (+4.7 pts).
MODEL6th of 112 regions18.1K exposed workers

Key numbers

PopulationWIKIDATA
242K
as of 2024
Share of national populationWIKIDATA
0.5%
68th largest of 112
People in workMODEL
107K
national total × population share
Highest-exposure jobsMODEL
1.2%
national 0.7%
Area
1,399 km²
173 people per km²
Settlement patternMODEL
Highly urban
56% live in major cities
Largest city
Lira
135K (metro)
Mapped towns & cities
1
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.

Lira Uganda
Agriculture 35.3%
Retail & wholesale 22.4%
Manufacturing 6.8%
Transport & logistics 6.8%
Other services 6.4%
Construction 4.7%
Hospitality 4.3%
Business services 3.9%
Education 2.6%
Public admin 2.6%
Health & care 2.3%
ICT & software 0.8%
Finance 0.6%
Mining 0.5%
Utilities 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 6,310 Agriculture 2,619 Other services 1,484 Education 1,122 Hospitality 1,062 Business services 1,055 Transport & logistics 916 Public admin 880

Ranking in Uganda

MODEL

By modelled AI exposure, out of 112 regions.

3Jinja 18% 4Gulu 17% 5Arua 17% 6Lira 17% 7Mbarara District 16% 8Tororo 16% 9Kitgum 15%
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 →