Air Quality score
Health-oriented air-quality conditions with context from WHO, EEA, and EPA benchmarks.
London's clean-air policy has improved exposure trends, with PM2.5 and nitrogen dioxide remaining the key health signals. Air Quality in London scores 75/100, placing it in the solid group of the indexed set.
Health-oriented air-quality conditions with context from WHO, EEA, and EPA benchmarks.
75/100
Improving profile reinforced by clean-air policy.
PM2.5 and NO2
Fine particles and traffic-related NO2 remain central health benchmarks.
Strong
Ultra-low-emission policies support continued improvement.
This HTML table mirrors the visible score cards so important comparison data is never trapped in a browser-only chart.
| Metric | Value | Context |
|---|---|---|
| Clean-air score | 75/100 | Trend is favorable; absolute exposure still matters. |
| Primary pollutant watch | PM2.5 and NO2 | Traffic-corridor exposure shapes the pollutant profile. |
| Policy momentum | Strong | Mobility transition reinforces clean-air progress. |
A crawlable comparison across every indexed city makes it easy to scan how this module changes between metros.
| City | Score | Summary |
|---|---|---|
| London (this page) | 75/100 | London's clean-air policy has improved exposure trends, with PM2.5 and nitrogen dioxide remaining the key health signals. |
| Copenhagen | 88/100 | Copenhagen performs well on clean-air context, helped by compact mobility, regional monitoring, and strong European air-quality governance. |
| Zurich | 88/100 | Zurich performs strongly on clean air, supported by compact transit-led mobility and rigorous European monitoring. |
| Auckland | 86/100 | Auckland has strong baseline air quality, supported by coastal context and comparatively low pollutant exposure. |
| Amsterdam | 85/100 | Amsterdam performs well on clean air, supported by compact mobility patterns and European monitoring depth. |
| Vienna | 84/100 | Vienna's clean-air profile is strong, supported by compact transit-led mobility and continuous European monitoring. |
| Sydney | 82/100 | Sydney has strong baseline air quality with episodic wildfire-smoke and bushfire events as the main exposure pressure. |
| Singapore | 80/100 | Singapore performs well on clean air with periodic regional haze events as the main exposure pressure. |
| Berlin | 80/100 | Berlin's air-quality profile benefits from strong European monitoring and ongoing transit and street redesign. |
| Toronto | 80/100 | Toronto has solid baseline air quality with episodic wildfire-smoke events as the main exposure spike. |
| Tokyo | 78/100 | Tokyo's air profile benefits from strong governance but still requires attention to fine particles, ozone, and heat-related exposure. |
| Barcelona | 78/100 | Barcelona's clean-air profile is improving with mobility reform, while traffic-related and regional pollutants remain health-relevant. |
| San Francisco | 78/100 | San Francisco has a healthy baseline air profile, with episodic wildfire-smoke events as the main exposure pressure in recent years. |
| Cape Town | 78/100 | Cape Town has solid baseline air quality, with episodic regional and biomass-burning events as the main exposure spikes. |
| Paris | 76/100 | Paris benefits from European monitoring and mobility reform, while PM2.5, nitrogen dioxide, and ozone remain key health signals. |
| New York | 72/100 | New York has extensive monitoring and policy capacity, but particulate and ozone exposure remain important health signals. |
| Seoul | 70/100 | Seoul's air-quality profile is improving with policy attention, while particulate exposure from regional and seasonal sources remains a key health signal. |
| Hong Kong | 70/100 | Hong Kong's air-quality profile is improving with policy attention, while particulate and ozone exposure remain key health signals. |
| Dubai | 65/100 | Dubai's air-quality profile is shaped by desert-dust events and traffic-related pollutants, with monitoring and indoor-air strategies as key practical inputs. |
| São Paulo | 65/100 | São Paulo's air-quality profile is shaped by traffic-related pollutants and seasonal regional sources, with active monitoring and policy attention. |
| Nairobi | 64/100 | Nairobi's air-quality profile is shaped by traffic-related pollutants and dust, with monitoring depth and policy attention rising. |
| Bangkok | 60/100 | Bangkok's air-quality profile is shaped by seasonal particulate exposure and traffic-related pollutants, with policy attention rising. |
| Mexico City | 58/100 | Mexico City's air-quality profile is shaped by particulate, ozone, and altitude factors, with long-running policy attention and steady improvement. |
Air-quality scoring weighs pollutant exposure against monitoring confidence and policy momentum. Clean-air zones build long-run improvement. Across the indexed cities the air quality average is 76/100, so London is close to the median for this dimension. Data year 2025; last updated 2026-05-05. Drawn from 2 institutional references.
Read this module with the main open the london city profile and the read the scoring methodology page so single-topic pages do not hide tradeoffs across dimensions.
This page uses a typed sample dataset shaped to demonstrate the indexable content structure. Values are directional and not official measurements.
2 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 to normalize air-quality indicators toward health-protective benchmarks.
Used where European city comparisons need monitored air-quality context.
These links connect module pages back to city, ranking, and sibling topic paths with crawlable href values.
Return to the complete London profile with all module scores and source context.
Affordability, essential costs, and day-to-day financial pressure for residents.
Clean-energy readiness, grid resilience, and solar or efficiency opportunity signals.
Personal safety, institutional trust, and resilience signals informed by international safety and crime data.
Broadband and mobile connectivity quality, latency, and digital-readiness signals for residents and remote workers.
Climate exposure, hazard frequency, and adaptation context for floods, heat, storms, and wildfires.
A balanced ranking of cities across affordability, air quality, clean-energy readiness, and resilience.
Cities that combine strong services, mobility, safety, clean air, and resilience into a healthy day-to-day profile.