Overall score
Mumbai is most useful for users comparing affordability and economic depth in South Asia against air-quality, flood, and infrastructure modernization needs.
Mumbai is India's financial capital and one of South Asia's largest urban regions, with deep finance, film, and creative industries and active urban-modernization work. Mumbai is a south asia city of about 21.7M metro in India. On the composite city-intelligence score, Mumbai sits around the indexed median (70/100).
Mumbai is most useful for users comparing affordability and economic depth in South Asia against air-quality, flood, and infrastructure modernization needs.
70/100
Strong affordability and economic depth balanced against air-quality and flood pressure.
Globally significant
Finance, film, and trade ecosystems shape opportunity.
Favorable
Cost-of-living levels are comparatively favorable.
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 | Mumbai offers strong affordability for a major South Asian capital, with food and transit costs supporting steady daily life despite housing pressure. |
| Air Quality | 54/100 | Mumbai's air-quality profile is shaped by traffic, industry, and seasonal meteorology, with active monitoring and policy attention. |
| Energy | 66/100 | Mumbai's energy profile reflects an active national transition with growing renewable build-out and rising distributed-solar adoption. |
| Safety | 76/100 | Mumbai has solid overall safety with consistent neighborhood experience and property-related opportunistic risks the main day-to-day concern. |
| Internet Speed | 80/100 | Mumbai has solid fiber broadband and broad mobile coverage, supporting deep finance, services, and digital-economy activity. |
| Climate Risk | 56/100 | Mumbai faces meaningful climate exposure from coastal flooding, monsoon rainfall, and rising heat, balanced by adaptation programs that continue to scale. |
| Resilience | 60/100 | Climate adaptation and infrastructure continuity context. |
City pages link to module and ranking pages so crawlers can move through the topic cluster naturally.
Mumbai offers strong affordability for a major South Asian capital, with food and transit costs supporting steady daily life despite housing pressure.
Mumbai's air-quality profile is shaped by traffic, industry, and seasonal meteorology, with active monitoring and policy attention.
Mumbai's energy profile reflects an active national transition with growing renewable build-out and rising distributed-solar adoption.
Mumbai has solid overall safety with consistent neighborhood experience and property-related opportunistic risks the main day-to-day concern.
Mumbai has solid fiber broadband and broad mobile coverage, supporting deep finance, services, and digital-economy activity.
Mumbai faces meaningful climate exposure from coastal flooding, monsoon rainfall, and rising heat, balanced by adaptation programs that continue to scale.
Compare this city against other indexed cities in crawlable ranking tables.
Mumbai is most useful for users comparing affordability and economic depth in South Asia against air-quality, flood, and infrastructure modernization needs. Its standout dimensions are internet speed (80/100) and cost of living (78/100). The area most worth watching is air quality (54/100), 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 India country page. Related rankings include Overall Intelligence, Quality of Life, Remote Work. See where Mumbai 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.