GCIGlobal City Intelligence
Singapore / Southeast Asia

Singapore City Intelligence

Singapore is a high-capacity city-state with exceptional public services, strong digital infrastructure, and ongoing climate adaptation under hot-and-humid conditions. Singapore is a southeast asia city of about 5.9M city-state in Singapore. On the composite city-intelligence score, Singapore sits near the top of the indexed set (90/100).

Last updated
2026-05-05
Data year
2025
Population
5.9M city-state

Overall score

Singapore is most useful for users comparing service quality, connectivity, and urban planning rigor against high housing costs and heat exposure.

Overall90/100
Affordability60/100
Air quality80/100
Energy85/100

Overall city intelligence

Exceptional

90/100

Top-tier services, governance, and digital infrastructure with heat exposure to manage.

Service depth

Exceptional

Health, transit, and digital services reach near-universal coverage.

Heat adaptation

Active

Continuous urban heat-management investment shapes outdoor design.

Singapore data table

The table is part of the initial server-rendered HTML and mirrors the key city score cards.

Singapore city intelligence data table
MetricValueContext
Overall score90/100Composite score across major city intelligence modules.
Cost of Living60/100Singapore is expensive on rent and vehicles, balanced by strong transit, public services, and food-court price stability.
Air Quality80/100Singapore performs well on clean air with periodic regional haze events as the main exposure pressure.
Energy85/100Singapore is energy-import dependent but progressing on renewables, regional power imports, and strong building efficiency.
Safety95/100Singapore is among the safest cities globally, with very low violent-crime context and strong institutional response.
Internet Speed95/100Singapore is a global connectivity leader with very fast fiber, dense 5G mobile, and a digital-readiness culture across services.
Climate Risk65/100Singapore faces meaningful climate exposure from heat, intense rainfall, and long-run sea-level pressure, balanced by very strong adaptation capacity.
Resilience92/100Climate adaptation and infrastructure continuity context.

Explore Singapore modules

City pages link to module and ranking pages so crawlers can move through the topic cluster naturally.

Cost of Living in Singapore

Singapore is expensive on rent and vehicles, balanced by strong transit, public services, and food-court price stability.

Air Quality in Singapore

Singapore performs well on clean air with periodic regional haze events as the main exposure pressure.

Energy in Singapore

Singapore is energy-import dependent but progressing on renewables, regional power imports, and strong building efficiency.

Safety in Singapore

Singapore is among the safest cities globally, with very low violent-crime context and strong institutional response.

Internet Speed in Singapore

Singapore is a global connectivity leader with very fast fiber, dense 5G mobile, and a digital-readiness culture across services.

Climate Risk in Singapore

Singapore faces meaningful climate exposure from heat, intense rainfall, and long-run sea-level pressure, balanced by very strong adaptation capacity.

City rankings

Compare this city against other indexed cities in crawlable ranking tables.

Interpretation

Singapore is most useful for users comparing service quality, connectivity, and urban planning rigor against high housing costs and heat exposure. Its standout dimensions are safety (95/100) and internet speed (95/100). The area most worth watching is cost of living (60/100), where the model registers practical gaps. Data year 2025; last updated 2026-05-05. Drawn from 4 institutional references.

Country context is available on the Singapore country page. Related rankings include Overall Intelligence, Quality of Life, Remote Work. See where Singapore 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.

Sources

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.