AI Job Atlas
AI & jobs · District|Regencies in Timor-Leste

Manufahi

District|Regencies TL-MF
18%
of jobs here are estimated to be exposed to generative AI, below the national 21% (−3.2 pts).
MODEL10th of 13 regions5,055 exposed workers

Key numbers

PopulationWIKIDATA
53.7K
as of 2015
Share of national populationWIKIDATA
4.6%
11th largest of 13
People in workMODEL
28.7K
national total × population share
Highest-exposure jobsMODEL
1.4%
national 1.7%
Area
1,298 km²
41 people per 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.

Manufahi Timor-Leste
Agriculture 58.2%
Retail & wholesale 21.8%
Public admin 6.3%
Business services 2.8%
Transport & logistics 2.6%
Education 2.1%
Construction 1.8%
Other services 1.4%
Manufacturing 1.3%
Health & care 0.6%
Hospitality 0.5%
Finance 0.2%
Mining 0.1%
Utilities 0.1%
ICT & software 0.1%

Exposed workers by sector

MODEL
Retail & wholesale 1,852 Agriculture 1,280 Public admin 755 Business services 313 Education 295 Transport & logistics 147 Other services 109 Health & care 80

Ranking in Timor-Leste

MODEL

By modelled AI exposure, out of 13 regions.

7Bobonaro 18% 8Aileu 18% 9Cova Lima 18% 10Manufahi 18% 11Viqueque 18% 12Lautém 17% 13Manatuto 17%
About these estimates. No source publishes AI exposure by region for every country. The model splits Timor-Leste'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 Timor-Leste

All of Timor-Leste →