Climate Risk

Climate Risk in Shanghai

GCI modelled/editorial indicators, not measured city statistics. Shanghai carries meaningful climate exposure from coastal flooding, typhoons, and rising heat, balanced by major adaptation programs. Climate Risk in Shanghai scores 68/100, placing it in the developing group of the indexed set.

Last updated
2026-10-17
Data year (model edition)
2025
Module score
68/100

What these numbers represent

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

Climate Risk module indicator (modelled)

68/100

Climate exposure, hazard frequency, and adaptation context for floods, heat, storms, and wildfires.

Climate Risk in Shanghai68/100

Primary hazard

Coastal flood and typhoon

Sea-level rise and storms are the main hazards.

Heat exposure

Rising

Sustained summer heat is becoming central to planning.

Adaptation capacity

Strong

Major adaptation investments build resilience.

Shanghai climate risk data table

This HTML table mirrors the visible score cards so important comparison data is never trapped in a browser-only chart.

Shanghai Climate Risk data table
MetricValueContext
Primary hazardCoastal flood and typhoonMajor flood-management programs are central.
Heat exposureRisingCooling demand is structural for daily life.
Adaptation capacityStrongImplementation depth supports the score.

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.

Climate Risk city comparison table
CityModelled module scoreSummary
Shanghai (this page)68/100Shanghai carries meaningful climate exposure from coastal flooding, typhoons, and rising heat, balanced by major adaptation programs.
Nanjing78/100Nanjing's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Kunming78/100Kunming's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Changsha78/100Changsha's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Shijiazhuang78/100Shijiazhuang's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Nanning78/100Nanning's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Lanzhou78/100Lanzhou's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Yinchuan78/100Yinchuan's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Foshan78/100Foshan's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Handan78/100Handan's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Wenzhou78/100Wenzhou's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Zhangjiakou78/100Zhangjiakou's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Yantai78/100Yantai's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Nanyang78/100Nanyang's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Zhongshan78/100Zhongshan's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Jining78/100Jining's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Dandong78/100Dandong's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Cangzhou78/100Cangzhou's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Taizhou78/100Taizhou's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Hangzhou77/100Hangzhou's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Chongqing77/100Chongqing's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Lhasa77/100Lhasa's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Hohhot77/100Hohhot's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Guilin77/100Guilin's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Shaoxing77/100Shaoxing's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Quanzhou77/100Quanzhou's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Qiqihar77/100Qiqihar's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Changzhou77/100Changzhou's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Maoming77/100Maoming's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Tai'an77/100Tai'an's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.
Harbin76/100Harbin's climate-risk profile is a directional indicator combining regional hazard categories with national adaptation capacity.

Interpretation

The climate risk 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 climate risk average is 69/100, so Shanghai is close to the median for this dimension. 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.

Methodology references

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.

Continue exploring

These links connect module pages back to city, ranking, and sibling topic paths with crawlable href values.

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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

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