AI & jobs · District in United Kingdom

Omagh

District GB-OMH Largest city: Omagh
37%
of jobs here are estimated to be exposed to generative AI, above the national 37% (+0.1 pts).
MODEL50th of 232 regions59.4K exposed workers

Key numbers

PopulationMODEL
≈360K
estimated from area
Share of national populationMODEL
0.5%
51st largest of 232
People in workMODEL
161K
national total × population share
Highest-exposure jobsMODEL
6.3%
national 6.3%
Area
1,157 km²
Settlement patternMODEL
Mixed
6% live in major cities
Largest city
Omagh
21.1K (metro)
Mapped towns & cities
1
Natural Earth places

AI use

ANTHROPIC

Claude.ai conversations, April–May 2026.

Usage is published for the wider Northern Ireland area (26 map regions), so these figures describe that whole area.
Usage intensityANTHROPIC
0.13×
usage share ÷ population share
Area’s share of national useANTHROPIC
0.8%
0.5% of population
Work-relatedANTHROPIC
37%
national 41%
Automation-styleANTHROPIC
44%
national 45%
Augmentation 56%Automation 44%

Sector mix

MODEL

Estimated share of jobs by sector, against the national mix.

Omagh United Kingdom
Business services 15.0%
Health & care 14.7%
Retail & wholesale 10.4%
Education 10.4%
Public admin 7.9%
Manufacturing 7.9%
Construction 6.1%
Other services 5.7%
Hospitality 5.1%
ICT & software 5.1%
Transport & logistics 4.8%
Finance 4.5%
Utilities 1.3%
Agriculture 0.6%
Mining 0.4%

Exposed workers by sector

MODEL

Ranking in United Kingdom

MODEL

By modelled AI exposure, out of 232 regions.

About these estimates. No source publishes AI exposure by region for every country. The model splits United Kingdom'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

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