AI Job Atlas
AI & jobs · Highly Urbanized City in Philippines

Caloocan

Highly Urbanized City
21%
of jobs here are estimated to be exposed to generative AI, below the national 23% (−2.4 pts).
MODEL69th of 118 regions1,465 exposed workers

Key numbers

PopulationMODEL
≈16.8K
estimated from area
Share of national populationMODEL
0.0%
105th largest of 118
People in workMODEL
6,965
national total × population share
Highest-exposure jobsMODEL
3.8%
national 4.5%
Area
54 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

MODEL

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

Caloocan Philippines
Agriculture 29.5%
Retail & wholesale 20.0%
Construction 10.3%
Manufacturing 8.0%
Transport & logistics 6.8%
Other services 6.3%
Public admin 4.8%
Business services 4.0%
Hospitality 3.8%
Education 3.0%
Health & care 1.3%
Finance 0.8%
ICT & software 0.5%
Mining 0.5%
Utilities 0.4%

Exposed workers by sector

MODEL
Retail & wholesale 432 Public admin 152 Agriculture 147 Transport & logistics 105 Other services 101 Manufacturing 98 Business services 94 Education 90

Ranking in Philippines

MODEL

By modelled AI exposure, out of 118 regions.

66Iloilo 21% 67Lapu-Lapu 21% 68Muntinlupa 21% 69Caloocan 21% 70Malabon 21% 71Valenzuela City 21% 72Taguig City 21%
About these estimates. No source publishes AI exposure by region for every country. The model splits Philippines'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 Philippines

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