Climate Risk score
Climate exposure, hazard frequency, and adaptation context for floods, heat, storms, and wildfires.
Climate Risk in Shenzhen72/100
Climate Risk
Climate Risk in Shenzhen
Shenzhen carries elevated climate risk centered on typhoon exposure, coastal flooding, and rising heat. Climate Risk in Shenzhen scores 72/100, placing it in the solid group of the indexed set.
- Last updated
- 2026-05-16
- Data year
- 2025
- Module score
- 72/100
Primary hazard
Typhoon and flood
Coastal flooding and typhoon surge are the main long-run pressures.
Heat exposure
Rising
Sustained summer heat is rising as a structural concern.
Adaptation capacity
Strong
Engineering capacity supports resilience.
Shenzhen climate risk 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 |
|---|---|---|
| Primary hazard | Typhoon and flood | Engineered defences support resilience. |
| Heat exposure | Rising | Cooling demand grows with extremes. |
| Adaptation capacity | Strong | Scale of infrastructure investment is a strength. |
Climate Risk city comparison
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 | Score | Summary |
|---|---|---|
| Shenzhen (this page) | 72/100 | Shenzhen carries elevated climate risk centered on typhoon exposure, coastal flooding, and rising heat. |
| Beijing | 70/100 | Beijing carries elevated climate risk centered on water scarcity, heat, and dust events. |
| Shanghai | 68/100 | Shanghai carries meaningful climate exposure from coastal flooding, typhoons, and rising heat, balanced by major adaptation programs. |
| Guangzhou | 62/100 | Guangzhou's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Chengdu | 60/100 | Chengdu's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Wuhan | 58/100 | Wuhan's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Geneva | 86/100 | Geneva's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Vejle | 84/100 | Vejle's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Oslo | 84/100 | Oslo carries moderate climate risk centered on heavy precipitation and stormwater pressure, with strong adaptation planning. |
| Basel | 84/100 | Basel's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Nanterre | 84/100 | Nanterre's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Vitry-sur-Seine | 84/100 | Vitry-sur-Seine's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Créteil | 84/100 | Créteil's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Vlaardingen | 84/100 | Vlaardingen's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Sandnes | 84/100 | Sandnes's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Blois | 84/100 | Blois's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Nyköping | 84/100 | Nyköping's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Giessen | 84/100 | Giessen's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Saint-Denis | 84/100 | Saint-Denis's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Capelle aan den IJssel | 84/100 | Capelle aan den IJssel's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Baden | 84/100 | Baden's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Hagen | 83/100 | Hagen's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Boulogne-Billancourt | 83/100 | Boulogne-Billancourt's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Bottrop | 83/100 | Bottrop's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Hengelo | 83/100 | Hengelo's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Roosendaal | 83/100 | Roosendaal's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Steyr | 83/100 | Steyr's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Cholet | 83/100 | Cholet's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Lustenau | 83/100 | Lustenau's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Spijkenisse | 83/100 | Spijkenisse's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
| Trollhättan | 83/100 | Trollhättan's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity. |
Interpretation
Climate-risk scoring combines hazard exposure with adaptation capacity. Across the indexed cities the climate risk average is 62/100, so Shenzhen is 10 points above the median. Data year 2025; last updated 2026-05-16. Drawn from 3 institutional references.
Read this module with the main open the shenzhen 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.
Sources
3 institutional references inform this view, listed below with reliability notes. 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.
- IPCC: AR6 WGII Chapter 6: Cities, settlements and key infrastructure
Used to explain urban climate vulnerability and adaptation scoring logic.
- NASA: NASA POWER
Used as an energy-resource and weather-normalization reference.
- UN-Habitat: World Cities Report 2024
Used as a policy and methodology reference for urban exposure and resilience signals.
Continue exploring
These links connect module pages back to city, ranking, and sibling topic paths with crawlable href values.
Shenzhen city profile
Return to the complete Shenzhen profile with all module scores and source context.
Cost of Living in Shenzhen
Affordability, essential costs, and day-to-day financial pressure for residents.
Air Quality in Shenzhen
Health-oriented air-quality conditions with context from WHO, EEA, and EPA benchmarks.
Energy in Shenzhen
Clean-energy readiness, grid resilience, and solar or efficiency opportunity signals.
Safety in Shenzhen
Personal safety, institutional trust, and resilience signals informed by international safety and crime data.
Internet Speed in Shenzhen
Broadband and mobile connectivity quality, latency, and digital-readiness signals for residents and remote workers.
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.