AI Job Atlas
AI & jobs · District in Malawi

Rumphi

District MW-RU
11%
of jobs here are estimated to be exposed to generative AI, below the national 13% (−2.1 pts).
MODEL19th of 28 regions48.1K exposed workers

Key numbers

PopulationMODEL
≈1.2M
estimated from area
Share of national populationMODEL
5.5%
7th largest of 28
People in workMODEL
436K
national total × population share
Highest-exposure jobsMODEL
0.7%
national 0.9%
Area
6,695 km²
Settlement patternMODEL
Rural
0% live in major cities
Mapped towns & cities
0
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.

Rumphi Malawi
Agriculture 76.4%
Retail & wholesale 10.2%
Manufacturing 2.4%
Construction 2.2%
Transport & logistics 2.1%
Other services 1.9%
Education 1.2%
Hospitality 1.0%
Public admin 0.6%
Business services 0.5%
Mining 0.5%
Health & care 0.3%
Finance 0.2%
Utilities 0.2%
ICT & software 0.1%

Exposed workers by sector

MODEL
Agriculture 23.5K Retail & wholesale 12.4K Education 2,251 Other services 1,999 Manufacturing 1,480 Transport & logistics 1,300 Hospitality 1,105 Construction 973

Ranking in Malawi

MODEL

By modelled AI exposure, out of 28 regions.

16Ntcheu 12% 17Nkhata Bay 11% 18Chiradzulu 11% 19Rumphi 11% 20Likoma 11% 21Kasungu 11% 22Machinga 11%
About these estimates. No source publishes AI exposure by region for every country. The model splits Malawi'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 Malawi

All of Malawi →