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

Ermera

District|Regencies TL-ER
19%
of jobs here are estimated to be exposed to generative AI, below the national 21% (−1.6 pts).
MODEL2nd of 13 regions12.9K exposed workers

Key numbers

PopulationWIKIDATA
126K
as of 2015
Share of national populationWIKIDATA
10.7%
2nd largest of 13
People in workMODEL
67.1K
national total × population share
Highest-exposure jobsMODEL
1.5%
national 1.7%
Area
711 km²
177 people per km²
Settlement patternMODEL
Mixed
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.

Ermera Timor-Leste
Agriculture 51.8%
Retail & wholesale 24.9%
Public admin 7.4%
Business services 3.5%
Transport & logistics 3.0%
Education 2.4%
Construction 2.0%
Other services 1.6%
Manufacturing 1.4%
Health & care 0.7%
Hospitality 0.6%
Finance 0.3%
Mining 0.1%
ICT & software 0.1%
Utilities 0.1%

Exposed workers by sector

MODEL
Retail & wholesale 4,944 Agriculture 2,668 Public admin 2,085 Business services 926 Education 773 Transport & logistics 391 Other services 290 Health & care 213

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 →