AI Job Atlas
AI & jobs · Prefecture in Chad

Mayo-Kebbi Est

Prefecture TD-ME Largest city: Bongor
14%
of jobs here are estimated to be exposed to generative AI, above the national 12% (+2.5 pts).
MODEL2nd of 22 regions50.3K exposed workers

Key numbers

PopulationWIKIDATA
1.1M
as of 2019
Share of national populationWIKIDATA
5.3%
3rd largest of 22
People in workMODEL
352K
national total × population share
Highest-exposure jobsMODEL
1.5%
national 1.0%
Area
18.1K km²
61 people per km²
Settlement patternMODEL
Urban
18% live in major cities
Largest city
Bongor
194K (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.

Mayo-Kebbi Est Chad
Agriculture 57.2%
Retail & wholesale 16.9%
Manufacturing 9.2%
Transport & logistics 2.8%
Other services 2.8%
Construction 2.6%
Public admin 2.2%
Education 2.1%
Business services 1.3%
Hospitality 1.0%
Health & care 0.9%
Mining 0.3%
Utilities 0.2%
ICT & software 0.2%
Finance 0.1%

Exposed workers by sector

MODEL
Retail & wholesale 16.8K Agriculture 14K Manufacturing 4,218 Education 3,140 Public admin 2,920 Transport & logistics 2,282 Other services 2,211 Business services 1,298

Ranking in Chad

MODEL

By modelled AI exposure, out of 22 regions.

1N'Djamena 19% 2Mayo-Kebbi Est 14% 3Logone Oriental 14% 4Moyen-Chari 14% 5Ouaddaï 14% 6Tandjilé 14% 7Mayo-Kebbi Ouest 12%
About these estimates. No source publishes AI exposure by region for every country. The model splits Chad'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 Chad

All of Chad →