AI Job Atlas
AI & jobs · Region in Tanzania

North Pemba

Region TZ-06 Largest city: Wete
11%
of jobs here are estimated to be exposed to generative AI, above the national 10% (+0.4 pts).
MODEL7th of 30 regions19.1K exposed workers

Key numbers

PopulationWIKIDATA
318K
as of 2022
Share of national populationWIKIDATA
0.5%
27th largest of 30
People in workMODEL
176K
national total × population share
Highest-exposure jobsMODEL
0.7%
national 0.6%
Area
456 km²
698 people per km²
Settlement patternMODEL
Mixed
8% live in major cities
Largest city
Wete
26.4K (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.

North Pemba Tanzania
Agriculture 60.2%
Retail & wholesale 13.8%
Manufacturing 4.7%
Transport & logistics 3.8%
Other services 3.5%
Hospitality 3.5%
Construction 3.2%
Business services 2.4%
Education 1.8%
Mining 1.1%
Health & care 0.7%
Public admin 0.6%
Finance 0.3%
Utilities 0.3%
ICT & software 0.1%

Exposed workers by sector

MODEL
Agriculture 7,032 Retail & wholesale 5,550 Hospitality 1,113 Education 965 Other services 956 Transport & logistics 706 Business services 674 Manufacturing 652

Ranking in Tanzania

MODEL

By modelled AI exposure, out of 30 regions.

4South Pemba 12% 5Mbeya 11% 6Mwanza 11% 7North Pemba 11% 8Arusha 11% 9Kigoma 10% 10Morogoro 10%
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 →