AI & jobs · Region in Trinidad and Tobago
Sangre Grande Regional Corporation
28%
of jobs here are estimated to be exposed to generative AI, below the national 28% (−0.4 pts).
MODEL16th of 16 regions27.5K exposed workers
Key numbers
PopulationMODEL
≈192K
estimated from area
Share of national populationMODEL
14.1%
1st largest of 16
People in workMODEL
97.8K
national total × population share
Highest-exposure jobsMODEL
6.0%
national 6.1%
Area
903 km²
Settlement patternMODEL
Mixed
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.
Sangre Grande Regional Corporation
Trinidad and Tobago
Exposed workers by sector
MODELRanking in Trinidad and Tobago
MODELBy modelled AI exposure, out of 16 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Trinidad and Tobago'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 Trinidad and Tobago
- Mayaro-Rio Claro 28% exposed
- Couva-Tabaquite-Talparo 28% exposed
- Princes Town 28% exposed
- Tunapuna-Piarco Regional Corporation 28% exposed
- Siparia Regional Corporation 28% exposed
- Chaguanas 29% exposed
- Eastern Tobago 28% exposed
- Western Tobago 28% exposed
- San Fernando 32% exposed
- Penal-Debe Regional Corporation 28% exposed
- Port of Spain 32% exposed
- San Juan–Laventille 28% exposed
- Arima 29% exposed
- Diego Martin Regional Corporation 28% exposed
- Point Fortin 29% exposed