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

Baucau

District|Regencies TL-BA
18%
of jobs here are estimated to be exposed to generative AI, below the national 21% (−2.5 pts).
MODEL5th of 13 regions12.1K exposed workers

Key numbers

PopulationWIKIDATA
123K
as of 2015
Share of national populationWIKIDATA
10.5%
3rd largest of 13
People in workMODEL
65.8K
national total × population share
Highest-exposure jobsMODEL
1.4%
national 1.7%
Area
1,577 km²
78 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.

Baucau Timor-Leste
Agriculture 55.4%
Retail & wholesale 23.2%
Public admin 6.8%
Business services 3.1%
Transport & logistics 2.8%
Education 2.2%
Construction 1.9%
Other services 1.5%
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 4,510 Agriculture 2,797 Public admin 1,866 Business services 797 Education 713 Transport & logistics 358 Other services 265 Health & care 194

Ranking in Timor-Leste

MODEL

By modelled AI exposure, out of 13 regions.

2Ermera 19% 3Liquiçá 19% 4Oe-Cusse Ambeno 19% 5Baucau 18% 6Ainaro 18% 7Bobonaro 18% 8Aileu 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 →