AI & jobs · District in Uganda
Pallisa
14%
of jobs here are estimated to be exposed to generative AI, above the national 12% (+1.8 pts).
MODEL20th of 112 regions20.7K exposed workers
Key numbers
PopulationWIKIDATA
335K
as of 2024
Share of national populationWIKIDATA
0.7%
32nd largest of 112
People in workMODEL
148K
national total × population share
Highest-exposure jobsMODEL
0.9%
national 0.7%
Area
1,122 km²
298 people per km²
Settlement patternMODEL
Urban
9% live in major cities
Largest city
Pallisa
30.7K (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
MODELEstimated share of jobs by sector, against the national mix.
Pallisa
Uganda
Exposed workers by sector
MODELRanking in Uganda
MODELBy modelled AI exposure, out of 112 regions.
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
- Maracha 12% exposed
- Wakiso 14% exposed
- Kampala 19% exposed
- Yumbe 11% exposed
- Mukono 11% exposed
- Kasese 14% exposed
- Isingiro 11% exposed
- Luwero 14% exposed
- Tororo 16% exposed
- Mayuge 11% exposed
- Ntungamo 12% exposed
- Kyenjojo 11% exposed
- Kamuli 12% exposed
- Mubende 12% exposed
- Buikwe 11% exposed
- Kyegegwa 11% exposed
- Bugiri 11% exposed
- Oyam 11% exposed
- Kayunga 13% exposed
- Kisoro 12% exposed
- Iganga 11% exposed
- Busia 15% exposed
- Mityana 14% exposed
- Buyende 11% exposed
- Rukungiri 11% exposed
- Kiryandongo 12% exposed
- Serere 11% exposed
- Rakai 10% exposed
- Masindi 14% exposed
- Masaka 15% exposed