AI Job Atlas
AI & jobs · Province in Equatorial Guinea

Litoral

Province GQ-LI Largest city: Bata
17%
of jobs here are estimated to be exposed to generative AI, above the national 15% (+2.0 pts).
MODEL2nd of 7 regions24.3K exposed workers

Key numbers

PopulationWIKIDATA
400K
as of 2013
Share of national populationWIKIDATA
20.7%
3rd largest of 7
People in workMODEL
140K
national total × population share
Highest-exposure jobsMODEL
2.6%
national 2.1%
Area
7,225 km²
55 people per km²
Settlement patternMODEL
Urban
43% live in major cities
Largest city
Bata
173K (metro)
Mapped towns & cities
2
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.

Litoral Equatorial Guinea
Agriculture 44.1%
Retail & wholesale 12.7%
Manufacturing 7.7%
Other services 7.5%
Business services 5.6%
Education 3.9%
Public admin 3.3%
Transport & logistics 3.2%
Health & care 3.2%
Construction 3.2%
Hospitality 2.3%
Mining 1.0%
ICT & software 1.0%
Finance 0.9%
Utilities 0.4%

Exposed workers by sector

MODEL
Retail & wholesale 4,830 Agriculture 4,748 Business services 2,579 Other services 2,336 Education 2,289 Public admin 1,820 Health & care 1,647 Manufacturing 979

Ranking in Equatorial Guinea

MODEL

By modelled AI exposure, out of 7 regions.

1Bioko Norte 21% 2Litoral 17% 3Bioko Sur 15% 4Annobón 13% 5Wele-Nzas 13% 6Centro Sur 12% 7Kié-Ntem 12%
About these estimates. No source publishes AI exposure by region for every country. The model splits Equatorial Guinea'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 Equatorial Guinea

All of Equatorial Guinea →