Overall score
Manila is most useful for users comparing affordability and services in Southeast Asia against typhoon, flood, and infrastructure modernization needs.
Manila is the Philippines' capital and a coastal Southeast Asian metropolis with a deep services economy, growing tech sector, and active climate-adaptation work. Manila is a southeast asia city of about 14.6M metro in Philippines. On the composite city-intelligence score, Manila sits around the indexed median (70/100).
Manila is most useful for users comparing affordability and services in Southeast Asia against typhoon, flood, and infrastructure modernization needs.
70/100
Strong affordability and services profile balanced against typhoon and modernization needs.
Favorable
Cost-of-living levels are comparatively favorable.
Strong
Business-process services and creative industries shape opportunity.
The table is part of the initial server-rendered HTML and mirrors the key city score cards.
| Metric | Value | Context |
|---|---|---|
| Overall score | 70/100 | Composite score across major city intelligence modules. |
| Cost of Living | 78/100 | Manila offers strong affordability for a major Southeast Asian capital, with food and transit costs supporting steady daily life. |
| Air Quality | 60/100 | Manila's air-quality profile is shaped by traffic, industry, and meteorology, with active monitoring and policy attention. |
| Energy | 66/100 | Manila's energy profile reflects an active transition with growing renewable build-out and rising distributed-solar adoption. |
| Safety | 66/100 | Manila has mid-tier safety with neighborhood variation and property-related opportunistic risks the main day-to-day concern. |
| Internet Speed | 76/100 | Manila has solid fiber broadband and broad mobile coverage, supporting a deep business-process services and creative-economy sector. |
| Climate Risk | 56/100 | Manila faces meaningful climate exposure from typhoons, coastal flooding, and rising heat, balanced by adaptation programs that continue to scale. |
| Resilience | 60/100 | Climate adaptation and infrastructure continuity context. |
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Manila offers strong affordability for a major Southeast Asian capital, with food and transit costs supporting steady daily life.
Manila's air-quality profile is shaped by traffic, industry, and meteorology, with active monitoring and policy attention.
Manila's energy profile reflects an active transition with growing renewable build-out and rising distributed-solar adoption.
Manila has mid-tier safety with neighborhood variation and property-related opportunistic risks the main day-to-day concern.
Manila has solid fiber broadband and broad mobile coverage, supporting a deep business-process services and creative-economy sector.
Manila faces meaningful climate exposure from typhoons, coastal flooding, and rising heat, balanced by adaptation programs that continue to scale.
Compare this city against other indexed cities in crawlable ranking tables.
Manila is most useful for users comparing affordability and services in Southeast Asia against typhoon, flood, and infrastructure modernization needs. Its standout dimensions are cost of living (78/100) and internet speed (76/100). The area most worth watching is climate risk (56/100), where the model registers practical gaps. Data year 2025; last updated 2026-05-07. Drawn from 4 institutional references.
Country context is available on the Philippines country page. Related rankings include Overall Intelligence, Quality of Life, Remote Work. See where Manila appears in global rankings or read the scoring methodology.
This page uses a typed sample dataset shaped to demonstrate the indexable content structure. Values are directional and not official measurements.
4 institutional references inform this view, listed below with reliability notes. Mock values are typed and ready to be replaced by API-backed city datasets without changing route structure.
Used as a policy and methodology reference for urban exposure and resilience signals.
Used to normalize air-quality indicators toward health-protective benchmarks.
Used as an energy-resource and weather-normalization reference.
Used to explain urban climate vulnerability and adaptation scoring logic.