AI Job Atlas
AI & jobs · Province in Equatorial Guinea

Wele-Nzas

Province GQ-WN Largest city: Mongomo
13%
of jobs here are estimated to be exposed to generative AI, below the national 15% (−2.8 pts).
MODEL5th of 7 regions15.3K exposed workers

Key numbers

PopulationMODEL
≈348K
estimated from area
Share of national populationMODEL
17.9%
4th largest of 7
People in workMODEL
121K
national total × population share
Highest-exposure jobsMODEL
1.5%
national 2.1%
Area
5,860 km²
Settlement patternMODEL
Rural
2% live in major cities
Largest city
Mongomo
6,560 (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.

Wele-Nzas Equatorial Guinea
Agriculture 69.9%
Retail & wholesale 7.0%
Manufacturing 4.7%
Other services 4.2%
Education 2.4%
Business services 2.0%
Construction 1.9%
Transport & logistics 1.8%
Health & care 1.8%
Public admin 1.6%
Hospitality 1.3%
Mining 0.8%
Finance 0.3%
ICT & software 0.3%
Utilities 0.2%

Exposed workers by sector

MODEL
Agriculture 6,538 Retail & wholesale 2,316 Education 1,198 Other services 1,120 Business services 797 Health & care 790 Public admin 754 Manufacturing 520

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 →