AI Job Atlas
AI & jobs · County in Liberia

River Gee

County
14%
of jobs here are estimated to be exposed to generative AI, below the national 20% (−6.8 pts).
MODEL14th of 15 regions8,747 exposed workers

Key numbers

PopulationWIKIDATA
125K
as of 2022
Share of national populationWIKIDATA
2.5%
12th largest of 15
People in workMODEL
64.5K
national total × population share
Highest-exposure jobsMODEL
0.9%
national 1.6%
Area
5,045 km²
25 people per km²
Settlement patternMODEL
Very 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.

River Gee Liberia
Agriculture 71.7%
Retail & wholesale 12.3%
Education 2.7%
Transport & logistics 2.6%
Mining 2.0%
Manufacturing 1.8%
Hospitality 1.1%
Business services 1.1%
Construction 1.1%
Other services 1.0%
Health & care 0.9%
Public admin 0.8%
Utilities 0.3%
Finance 0.3%
ICT & software 0.2%

Exposed workers by sector

MODEL
Agriculture 3,618 Retail & wholesale 2,294 Education 765 Transport & logistics 332 Business services 242 Mining 230 Manufacturing 227 Health & care 220

Ranking in Liberia

MODEL

By modelled AI exposure, out of 15 regions.

9Sinoe 17% 10River Cess 15% 11Grand Kru 15% 12Nimba 15% 13Bomi 14% 14River Gee 14% 15Gbarpolu 13%
About these estimates. No source publishes AI exposure by region for every country. The model splits Liberia'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 Liberia

All of Liberia →