AI & jobs · Municipality in Latvia
Kocenu
29%
of jobs here are estimated to be exposed to generative AI, below the national 30% (−1.3 pts).
MODEL39th of 119 regions2,423 exposed workers
Key numbers
PopulationWIKIDATA
22.7K
as of 2026
Share of national populationWIKIDATA
0.9%
26th largest of 119
People in workMODEL
8,311
national total × population share
Highest-exposure jobsMODEL
4.2%
national 4.4%
Area
496 km²
46 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
MODELEstimated share of jobs by sector, against the national mix.
Kocenu
Latvia
Exposed workers by sector
MODELRanking in Latvia
MODELBy modelled AI exposure, out of 119 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Latvia'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 Latvia
- Riga 33% exposed
- Ventspils Rajons 29% exposed
- Daugavpils municipality 32% exposed
- Daugavpils 29% exposed
- Liepāja 32% exposed
- Jelgava 32% exposed
- Jūrmala 30% exposed
- Jelgavas Rajons 29% exposed
- Ogre 29% exposed
- Ventspils 32% exposed
- Valka 29% exposed
- Tukums 29% exposed
- Talsi 29% exposed
- Rezeknes 29% exposed
- Rezekne 32% exposed
- Ķekava 29% exposed
- Salaspils 30% exposed
- Rujienas 29% exposed
- Mazsalacas 29% exposed
- Nauksenu 29% exposed
- Apes 29% exposed
- Smiltenes 29% exposed
- Strencu 29% exposed
- Beverinas 29% exposed
- Burtnieku 29% exposed
- Vecpiebalgas 29% exposed
- Raunas 29% exposed
- Priekulu 29% exposed
- Pargaujas 29% exposed
- Jaunpiebalgas 29% exposed