AI Job Atlas
AI & jobs · County in Liberia

River Cess

County LR-RI Largest city: Rivercess
15%
of jobs here are estimated to be exposed to generative AI, below the national 20% (−5.0 pts).
MODEL10th of 15 regions7,172 exposed workers

Key numbers

PopulationWIKIDATA
90.8K
as of 2022
Share of national populationWIKIDATA
1.8%
15th largest of 15
People in workMODEL
47K
national total × population share
Highest-exposure jobsMODEL
1.0%
national 1.6%
Area
5,299 km²
17 people per km²
Settlement patternMODEL
Rural
3% live in major cities
Largest city
Rivercess
2,578 (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.

River Cess Liberia
Agriculture 63.7%
Retail & wholesale 15.9%
Education 3.4%
Transport & logistics 3.3%
Mining 2.3%
Manufacturing 2.2%
Business services 1.7%
Hospitality 1.5%
Construction 1.4%
Other services 1.3%
Health & care 1.2%
Public admin 1.0%
Finance 0.4%
Utilities 0.4%
ICT & software 0.3%

Exposed workers by sector

MODEL
Agriculture 2,340 Retail & wholesale 2,154 Education 697 Transport & logistics 309 Business services 265 Health & care 207 Manufacturing 205 Mining 193

Ranking in Liberia

MODEL

By modelled AI exposure, out of 15 regions.

7Lofa 18% 8Grand Cape Mount 17% 9Sinoe 17% 10River Cess 15% 11Grand Kru 15% 12Nimba 15% 13Bomi 14%
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 →