AI & jobs · Prefecture in Central African Republic
Haute-Kotto Prefecture
9%
of jobs here are estimated to be exposed to generative AI, below the national 9% (−0.2 pts).
MODEL4th of 17 regions3,810 exposed workers
Key numbers
PopulationWIKIDATA
90.3K
as of 2003
Share of national populationWIKIDATA
2.2%
14th largest of 17
People in workMODEL
42.2K
national total × population share
Highest-exposure jobsMODEL
1.0%
national 1.1%
Area
86.1K km²
1 people per km²
Settlement patternMODEL
Mixed
38% live in major cities
Largest city
Bria
29K (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
MODELEstimated share of jobs by sector, against the national mix.
Haute-Kotto Prefecture
Central African Republic
Exposed workers by sector
MODELRanking in Central African Republic
MODELBy modelled AI exposure, out of 17 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Central African Republic'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 Central African Republic
- Bangui 12% exposed
- Ouham-Pendé Prefecture 8% exposed
- Ouham Prefecture 9% exposed
- Mambéré-Kadéï 9% exposed
- Ombella-M'Poko Prefecture 7% exposed
- Ouaka Prefecture 9% exposed
- Basse-Kotto Prefecture 8% exposed
- Lobaye Prefecture 9% exposed
- Nana-Mambéré Prefecture 8% exposed
- Mbomou Prefecture 9% exposed
- Kémo Prefecture 9% exposed
- Nana-Grébizi Economic Prefecture 9% exposed
- Sangha-Mbaéré 9% exposed
- Haut-Mbomou Prefecture 9% exposed
- Vakaga Prefecture 8% exposed
- Bamingui-Bangoran Prefecture 9% exposed