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

Dili

District|Regencies TL-DI Capital region Largest city: Dili
30%
of jobs here are estimated to be exposed to generative AI, above the national 21% (+8.9 pts).
MODEL1st of 13 regions42.5K exposed workers

Key numbers

PopulationWIKIDATA
268K
as of 2022
Share of national populationWIKIDATA
22.9%
1st largest of 13
People in workMODEL
143K
national total × population share
Highest-exposure jobsMODEL
2.7%
national 1.7%
Area
403 km²
665 people per km²
Settlement patternMODEL
Highly urban
87% live in major cities
Largest city
Dili
234K (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.

Dili Timor-Leste
Retail & wholesale 40.0%
Public admin 15.4%
Agriculture 12.8%
Business services 12.2%
Transport & logistics 4.6%
Education 3.3%
Construction 2.9%
Other services 2.5%
Manufacturing 1.9%
Finance 1.3%
Health & care 1.2%
Hospitality 1.0%
ICT & software 0.5%
Utilities 0.1%
Mining 0.1%

Exposed workers by sector

MODEL
Retail & wholesale 17K Public admin 9,272 Business services 6,922 Education 2,267 Agriculture 1,408 Transport & logistics 1,272 Other services 996 Finance 921

Ranking in Timor-Leste

MODEL

By modelled AI exposure, out of 13 regions.

1Dili 30% 2Ermera 19% 3Liquiçá 19% 4Oe-Cusse Ambeno 19% 5Baucau 18% 6Ainaro 18% 7Bobonaro 18%
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 →