Module profile
Air Quality module indicator (modelled)
64/100
Health-oriented air-quality conditions with context from WHO, EEA, and EPA benchmarks.
Air Quality
GCI modelled/editorial indicators, not measured city statistics. Shanghai's air-quality profile reflects ongoing improvement with seasonal particulate exposure remaining the main focus. Air Quality in Shanghai scores 64/100, placing it in the developing group of the indexed set.
GCI scores and planning amounts are modelled or editorial indicators, not measured city statistics or official estimates. Country assumptions are not local observations. Institutional references explain context; they do not supply these scores.
Source-backed temperature context is available in the NASA POWER climate reference. It is gridded reanalysis, not a weather-station measurement, and does not validate GCI's other scores.
Content and provenance reviewed 2026-10-17; this is not a new observation date. For GCI models, data year means model edition, not a measurement period. Source-backed datasets state their own periods. Read the data categories and limitations.
Module profile
64/100
Health-oriented air-quality conditions with context from WHO, EEA, and EPA benchmarks.
64/100
Mid-tier baseline with continued improvement.
PM2.5
Fine particles drive the focus.
High
Public monitoring supports trend visibility.
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 | 64/100 | Trend has improved over the past decade. |
| Primary pollutant watch | PM2.5 | Industrial and traffic sources contribute. |
| Monitoring confidence | High | Health-based benchmarks anchor the score. |
A crawlable comparison across a selection of same-country and top-scoring cities. The complete set is reachable via the rankings, the cities index, and each city profile.
| City | Modelled module score | Summary |
|---|---|---|
| Shanghai (this page) | 64/100 | Shanghai's air-quality profile reflects ongoing improvement with seasonal particulate exposure remaining the main focus. |
| Shenzhen | 70/100 | Shenzhen performs better than northern Chinese peers on air quality, with sustained improvement programs. |
| Guangzhou | 60/100 | Guangzhou's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Beijing | 58/100 | Beijing carries elevated air-quality pressure, with sustained improvement programs reducing peak particulates. |
| Chengdu | 58/100 | Chengdu's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Wuhan | 56/100 | Wuhan's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Changchun | 55/100 | Changchun's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Nanning | 55/100 | Nanning's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Luoyang | 55/100 | Luoyang's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Wuxi | 55/100 | Wuxi's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Shantou | 55/100 | Shantou's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Nanyang | 55/100 | Nanyang's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Yichang | 55/100 | Yichang's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Jingzhou | 55/100 | Jingzhou's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Zunyi | 55/100 | Zunyi's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Nanjing | 54/100 | Nanjing's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Chongqing | 54/100 | Chongqing's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Tangshan | 54/100 | Tangshan's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Zhangjiakou | 54/100 | Zhangjiakou's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Pudong | 54/100 | Pudong's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Zhangye | 54/100 | Zhangye's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Dandong | 54/100 | Dandong's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Huainan | 54/100 | Huainan's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Xi'an | 53/100 | Xi'an's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Zhengzhou | 53/100 | Zhengzhou's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Qingdao | 53/100 | Qingdao's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Dalian | 53/100 | Dalian's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Kashgar | 53/100 | Kashgar's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Lijiang | 53/100 | Lijiang's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Qiqihar | 53/100 | Qiqihar's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
| Changzhou | 53/100 | Changzhou's air-quality profile is a directional indicator framed against WHO and regional benchmarks; verified city-level measurements appear in the dedicated air-quality dataset section once integrated. |
The air quality module uses a legacy editorial seed indicator. Its score is not calculated from a retrieved local measurement series. Related institutional links explain context, not the numeric result. Across the indexed cities the air quality average is 67/100, so Shanghai is 3 points below the median. These comparisons use GCI modelled/editorial scores, not official measurements. Content reviewed 2026-10-17; model edition 2025, not an observation year.
Read this module with the main open the shanghai city profile and the read the scoring methodology page so single-topic pages do not hide tradeoffs across dimensions.
Structured indicators on this page are directional and intended for orientation. Verified datasets are being integrated; official sources should be used for critical decisions.
These publications provide background context, not the underlying city values or an endorsement of GCI scores. Structured indicators on this page are directional and intended for orientation; verified datasets are being integrated and official sources should be used for critical decisions.
Background reference only. Do not attribute the modelled city scores to this publisher.
These links connect module pages back to city, ranking, and sibling topic paths with crawlable href values.
Return to the complete Shanghai profile with all module scores and source context.
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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.