AI Job Atlas
AI & jobs · Region in Tanzania

South Pemba

Region TZ-10 Largest city: Chake Chake
12%
of jobs here are estimated to be exposed to generative AI, above the national 10% (+1.5 pts).
MODEL4th of 30 regions19.3K exposed workers

Key numbers

PopulationWIKIDATA
294K
as of 2022
Share of national populationWIKIDATA
0.5%
28th largest of 30
People in workMODEL
163K
national total × population share
Highest-exposure jobsMODEL
0.8%
national 0.6%
Area
472 km²
623 people per km²
Settlement patternMODEL
Urban
17% live in major cities
Largest city
Chake Chake
50K (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.

South Pemba Tanzania
Agriculture 51.1%
Retail & wholesale 17.0%
Manufacturing 5.5%
Transport & logistics 4.6%
Other services 4.3%
Hospitality 4.2%
Construction 3.8%
Business services 3.4%
Education 2.2%
Mining 1.2%
Health & care 0.8%
Public admin 0.7%
Finance 0.5%
Utilities 0.3%
ICT & software 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 6,286 Agriculture 5,511 Hospitality 1,260 Other services 1,082 Education 1,060 Business services 889 Transport & logistics 792 Manufacturing 712

Ranking in Tanzania

MODEL

By modelled AI exposure, out of 30 regions.

1Dar es Salaam 15% 2Mjini Magharibi 14% 3Kilimanjaro 13% 4South Pemba 12% 5Mbeya 11% 6Mwanza 11% 7North Pemba 11%
About these estimates. No source publishes AI exposure by region for every country. The model splits Tanzania'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 Tanzania

All of Tanzania →