Air Quality score
Health-oriented air-quality conditions with context from WHO, EEA, and EPA benchmarks.
Air Quality in Kigali70/100
Air Quality
Air Quality in Kigali
Kigali has solid baseline air quality with traffic and seasonal dust the main pollutant focus and active monitoring expansion. Air Quality in Kigali scores 70/100, placing it in the solid group of the indexed set.
- Last updated
- 2026-05-07
- Data year
- 2025
- Module score
- 70/100
Clean-air score
70/100
Solid baseline with traffic and seasonal pressure.
Primary pollutant watch
PM2.5
Fine particles drive the focus.
Monitoring confidence
Mid
Public monitoring is improving with continued expansion.
Kigali air quality data table
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 | 70/100 | Trend visibility continues to improve. |
| Primary pollutant watch | PM2.5 | Traffic and dust sources contribute. |
| Monitoring confidence | Mid | Health-based benchmarks anchor the score. |
Air Quality city comparison
A crawlable comparison across every indexed city makes it easy to scan how this module changes between metros.
| City | Score | Summary |
|---|---|---|
| Kigali (this page) | 70/100 | Kigali has solid baseline air quality with traffic and seasonal dust the main pollutant focus and active monitoring expansion. |
| 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. |
| Vancouver | 86/100 | Vancouver has strong baseline air quality, helped by coastal context, with episodic wildfire smoke the main seasonal concern. |
| 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. |
| Seattle | 84/100 | Seattle has strong baseline air quality with episodic wildfire smoke the main seasonal concern. |
| Melbourne | 84/100 | Melbourne has strong baseline air quality with episodic bushfire smoke the main seasonal concern. |
| Brisbane | 84/100 | Brisbane has strong baseline air quality, supported by coastal context, with episodic bushfire smoke the main seasonal concern. |
| Sydney | 82/100 | Sydney has strong baseline air quality with episodic wildfire-smoke and bushfire events as the main exposure pressure. |
| Lisbon | 82/100 | Lisbon performs well on baseline air quality, helped by coastal context, EU monitoring, and limited heavy industry. |
| 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. |
| Madrid | 78/100 | Madrid performs well on baseline air quality, supported by EU monitoring, low-emission zones, and ongoing mobility reform. |
| Paris | 76/100 | Paris benefits from European monitoring and mobility reform, while PM2.5, nitrogen dioxide, and ozone remain key health signals. |
| Prague | 76/100 | Prague's air quality is moderate-to-good with seasonal heating-related particulate exposure and active EU monitoring. |
| Taipei | 76/100 | Taipei has solid baseline air quality with traffic and seasonal particulate exposure the main focus and active monitoring. |
| London | 75/100 | London's clean-air policy has improved exposure trends, with PM2.5 and nitrogen dioxide remaining the key health signals. |
| Rome | 74/100 | Rome's air quality is moderate-to-good with traffic-related pollutants the main focus and EU monitoring providing strong trend visibility. |
| Chicago | 74/100 | Chicago's air-quality profile is moderate-to-good, shaped by traffic and industrial sources, with strong EPA monitoring. |
| New York | 72/100 | New York has extensive monitoring and policy capacity, but particulate and ozone exposure remain important health signals. |
| Buenos Aires | 72/100 | Buenos Aires has moderate-to-good baseline air quality, helped by coastal and river ventilation, with traffic the main pollutant focus. |
| 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. |
| Milan | 70/100 | Milan's air-quality profile is shaped by Po Valley geography, with traffic and seasonal particulate exposure the main focus and active policy response. |
| Warsaw | 70/100 | Warsaw's air quality reflects ongoing improvement with seasonal heating-related particulate exposure remaining the main focus. |
| Doha | 70/100 | Doha's air quality is shaped by arid context with seasonal dust, traffic, and industrial sources contributing to particulate exposure. |
| Abu Dhabi | 70/100 | Abu Dhabi's air quality is shaped by arid context with seasonal dust, traffic, and industrial sources contributing to particulate exposure. |
| Los Angeles | 66/100 | Los Angeles' air-quality profile is shaped by basin geography, traffic, and seasonal wildfire smoke, with long-running policy attention. |
| Kuala Lumpur | 66/100 | Kuala Lumpur's air quality is shaped by traffic and seasonal regional haze, with active monitoring and policy attention. |
| 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. |
| Santiago | 64/100 | Santiago's air-quality profile is shaped by basin geography, with seasonal heating-related particulate exposure and active policy attention. |
| Bogotá | 64/100 | Bogotá's air-quality profile is shaped by altitude, traffic, and basin geography, with active policy attention and public monitoring. |
| Shanghai | 64/100 | Shanghai's air-quality profile reflects ongoing improvement with seasonal particulate exposure remaining the main focus. |
| Johannesburg | 64/100 | Johannesburg's air-quality profile is shaped by traffic, industry, and seasonal heating, with active monitoring and policy attention. |
| Bangkok | 60/100 | Bangkok's air-quality profile is shaped by seasonal particulate exposure and traffic-related pollutants, with policy attention rising. |
| Lima | 60/100 | Lima's air-quality profile is shaped by traffic, dust, and seasonal humidity, with active monitoring and policy attention. |
| Manila | 60/100 | Manila's air-quality profile is shaped by traffic, industry, and meteorology, with active monitoring and policy attention. |
| 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. |
| Jakarta | 56/100 | Jakarta's air-quality profile is shaped by traffic, industry, and meteorology, with active monitoring and policy attention. |
| Mumbai | 54/100 | Mumbai's air-quality profile is shaped by traffic, industry, and seasonal meteorology, with active monitoring and policy attention. |
| Lagos | 54/100 | Lagos' air-quality profile is shaped by traffic, industry, and seasonal dust, with active monitoring expansion and policy attention. |
Interpretation
Air-quality scoring weighs pollutant exposure with monitoring depth and policy momentum. Kigali's geography supports a moderate baseline. Across the indexed cities the air quality average is 73/100, so Kigali is 3 points below the median. Data year 2025; last updated 2026-05-07. Drawn from 1 institutional reference.
Read this module with the main open the kigali 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.
Sources
One institutional reference informs this view. Mock values are typed and ready to be replaced by API-backed city datasets without changing route structure.
- World Health Organization: WHO Global Air Quality Guidelines
Used to normalize air-quality indicators toward health-protective benchmarks.
Continue exploring
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Kigali city profile
Return to the complete Kigali profile with all module scores and source context.
Cost of Living in Kigali
Affordability, essential costs, and day-to-day financial pressure for residents.
Energy in Kigali
Clean-energy readiness, grid resilience, and solar or efficiency opportunity signals.
Safety in Kigali
Personal safety, institutional trust, and resilience signals informed by international safety and crime data.
Internet Speed in Kigali
Broadband and mobile connectivity quality, latency, and digital-readiness signals for residents and remote workers.
Climate Risk in Kigali
Climate exposure, hazard frequency, and adaptation context for floods, heat, storms, and wildfires.
Overall Intelligence
A balanced ranking of cities across affordability, air quality, clean-energy readiness, and resilience.
Quality of Life
Cities that combine strong services, mobility, safety, clean air, and resilience into a healthy day-to-day profile.