AI Job Atlas
AI & jobs · Province in Papua New Guinea

West New Britain

Province PG-WBK Largest city: Kimbe
20%
of jobs here are estimated to be exposed to generative AI, above the national 19% (+0.5 pts).
MODEL11th of 20 regions32.1K exposed workers

Key numbers

PopulationMODEL
≈474K
estimated from area
Share of national populationMODEL
4.4%
10th largest of 20
People in workMODEL
161K
national total × population share
Highest-exposure jobsMODEL
2.1%
national 2.0%
Area
20.7K km²
Settlement patternMODEL
Mixed
4% live in major cities
Largest city
Kimbe
18.8K (metro)
Mapped towns & cities
2
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.

West New Britain Papua New Guinea
Retail & wholesale 36.2%
Agriculture 34.2%
Education 7.3%
Construction 4.4%
Business services 3.4%
Transport & logistics 2.6%
Other services 2.5%
Public admin 2.4%
Mining 2.2%
Health & care 1.9%
Manufacturing 1.3%
Hospitality 0.6%
Finance 0.6%
Utilities 0.4%
ICT & software 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 15.5K Education 5,056 Agriculture 3,766 Business services 1,494 Public admin 1,437 Health & care 1,096 Other services 805 Transport & logistics 643

Ranking in Papua New Guinea

MODEL

By modelled AI exposure, out of 20 regions.

8Madang 22% 9Oro 20% 10Southern Highlands 20% 11West New Britain 20% 12Chimbu 20% 13East Sepik 20% 14Milne Bay 20%
About these estimates. No source publishes AI exposure by region for every country. The model splits Papua New Guinea'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 Papua New Guinea

All of Papua New Guinea →