AI Job Atlas
AI & jobs · Province in Thailand

Ranong

Province TH-85 Largest city: Ranong
19%
of jobs here are estimated to be exposed to generative AI, below the national 20% (−0.5 pts).
MODEL36th of 77 regions23K exposed workers

Key numbers

PopulationWIKIDATA
194K
as of 2020
Share of national populationWIKIDATA
0.3%
76th largest of 77
People in workMODEL
120K
national total × population share
Highest-exposure jobsMODEL
2.9%
national 3.0%
Area
3,459 km²
56 people per km²
Settlement patternMODEL
Mixed
13% live in major cities
Largest city
Ranong
24.6K (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.

Ranong Thailand
Agriculture 29.9%
Retail & wholesale 17.1%
Manufacturing 16.0%
Hospitality 8.6%
Construction 5.9%
Public admin 4.2%
Other services 4.1%
Transport & logistics 4.1%
Business services 3.3%
Education 2.8%
Health & care 2.1%
Finance 0.9%
Utilities 0.5%
ICT & software 0.3%
Mining 0.2%

Exposed workers by sector

MODEL
Retail & wholesale 5,999 Manufacturing 2,650 Agriculture 2,569 Hospitality 2,464 Public admin 2,121 Education 1,449 Business services 1,301 Other services 1,126

Ranking in Thailand

MODEL

By modelled AI exposure, out of 77 regions.

33Nan 20% 34Sing Buri 20% 35Satun 19% 36Ranong 19% 37Nakhon Sawan 19% 38Narathiwat 19% 39Chiang Rai 19%
About these estimates. No source publishes AI exposure by region for every country. The model splits Thailand'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 Thailand

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