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

Enga

Province PG-EPW Largest city: Wabag
17%
of jobs here are estimated to be exposed to generative AI, below the national 19% (−2.0 pts).
MODEL17th of 20 regions33.8K exposed workers

Key numbers

PopulationWIKIDATA
571K
as of 2021
Share of national populationWIKIDATA
5.3%
7th largest of 20
People in workMODEL
194K
national total × population share
Highest-exposure jobsMODEL
1.7%
national 2.0%
Area
12.7K km²
45 people per km²
Settlement patternMODEL
Rural
1% live in major cities
Largest city
Wabag
3,958 (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.

Enga Papua New Guinea
Agriculture 46.3%
Retail & wholesale 29.6%
Education 6.2%
Construction 3.7%
Business services 2.2%
Transport & logistics 2.2%
Mining 2.1%
Other services 2.1%
Public admin 1.8%
Health & care 1.5%
Manufacturing 1.1%
Hospitality 0.5%
Finance 0.3%
Utilities 0.3%
ICT & software 0.1%

Exposed workers by sector

MODEL
Retail & wholesale 15.3K Agriculture 6,146 Education 5,197 Public admin 1,321 Business services 1,194 Health & care 1,080 Other services 794 Transport & logistics 643

Ranking in Papua New Guinea

MODEL

By modelled AI exposure, out of 20 regions.

14Milne Bay 20% 15East New Britain 19% 16Gulf 18% 17Enga 17% 18Sandaun 17% 19Western 17% 20Central 17%
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 →