AI & jobs · County in Liberia
Maryland
20%
of jobs here are estimated to be exposed to generative AI, below the national 20% (−0.2 pts).
MODEL2nd of 15 regions18K exposed workers
Key numbers
PopulationWIKIDATA
173K
as of 2022
Share of national populationWIKIDATA
3.4%
9th largest of 15
People in workMODEL
89.3K
national total × population share
Highest-exposure jobsMODEL
1.6%
national 1.6%
Area
2,377 km²
73 people per km²
Settlement patternMODEL
Mixed
19% live in major cities
Largest city
Harper
32.7K (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.
Maryland
Liberia
Exposed workers by sector
MODELRanking in Liberia
MODELBy modelled AI exposure, out of 15 regions.
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
- Montserrado 25% exposed
- Nimba 15% exposed
- Bong 19% exposed
- Margibi 19% exposed
- Grand Bassa 19% exposed
- Lofa 18% exposed
- Grand Gedeh 18% exposed
- Grand Cape Mount 17% exposed
- Sinoe 17% exposed
- Bomi 14% exposed
- River Gee 14% exposed
- Grand Kru 15% exposed
- Gbarpolu 13% exposed
- River Cess 15% exposed