AI Job Atlas
AI & jobs · Division in The Gambia

Upper River

Division GM-U Largest city: Basse Santa Su
17%
of jobs here are estimated to be exposed to generative AI, below the national 18% (−0.9 pts).
MODEL4th of 6 regions8,860 exposed workers

Key numbers

PopulationWIKIDATA
199K
as of 2010
Share of national populationWIKIDATA
7.0%
5th largest of 6
People in workMODEL
53.2K
national total × population share
Highest-exposure jobsMODEL
1.3%
national 1.4%
Area
1,984 km²
100 people per km²
Settlement patternMODEL
Rural
7% live in major cities
Largest city
Basse Santa Su
14.4K (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.

Upper River The Gambia
Agriculture 32.8%
Retail & wholesale 22.3%
Construction 9.3%
Manufacturing 7.6%
Hospitality 5.4%
Transport & logistics 5.2%
Other services 4.9%
Education 4.0%
Business services 3.5%
Public admin 1.7%
Health & care 1.1%
Mining 0.8%
Finance 0.7%
ICT & software 0.4%
Utilities 0.3%

Exposed workers by sector

MODEL
Retail & wholesale 3,140 Agriculture 1,218 Education 865 Hospitality 679 Other services 561 Business services 474 Manufacturing 429 Transport & logistics 372

Ranking in The Gambia

MODEL

By modelled AI exposure, out of 6 regions.

1Banjul 21% 2West Coast 20% 3Lower River 18% 4Upper River 17% 5Central River 17% 6North Bank 16%
About these estimates. No source publishes AI exposure by region for every country. The model splits The Gambia'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 The Gambia

All of The Gambia →