How Climate Resilient Are the World’s Largest Cities? - AlphaGeo Skip to content Building a resilient futureSolutionsClimate Resilience SuiteClimate PriceGlobal Adaptation LayerAlpha FinderDynamism SignalsAlphaGeo CapitalMacro SuiteClientsCase StudiesPartnershipsAbout UsTeamOur storyResourcesInsights​NewsDocsExplore SolutionsClimate Resilience SuiteClimate PriceGlobal Adaptation LayerAlpha FinderDynamism SignalsAlphaGeo CapitalMacro SuiteClientsCase StudiesPartnershipsAbout UsTeamOur storyResourcesInsights​NewsDocsExplore Try It Free Book a Demo How Climate Resilient Are the World’s Largest Cities? March 25, 2026 AlphaGeo Climate Risk and Adaptation in Global Cities 1. Executive Summary This report analyzes the 72 of the world’s largest cities through the lens of AlphaGeo’s Climate Risk & Resilience Index (CRRI). It separates raw physical exposure from resilience-adjusted risk (RAJ) — what we call the adaptation delta — to reveal which cities are genuinely protected and which face a dangerous gap between their risk profile and their adaptive capacity.Key Takeaways Geography is not destiny. Cities with near-identical physical risk scores diverge by as much as 33 RAJ points depending on the adaptation measures in place — demonstrating that risk is not fixed, and that resilience is a function of policy and investment, not geography alone. South Asian megacities face a compounding crisis. Ahmedabad (RAJ 41), Hyderabad Pakistan (41), Multan (38), Dhaka (36), Kolkata (35), and Lahore (35) combine extreme physical exposure with only moderate adaptation performance. European, African, and Latin American capitals outperform. Chicago, Addis Ababa, Melbourne, Barcelona, Buenos Aires, Paris, and Nairobi all score below 14 on the RAJ scale, making them among the most resilient major cities globally. Chinese megacities are closing the gap. Beijing (50%), Tianjin (49%), Shenzhen (49%), and Shanghai (46%) lead globally on adaptation efficiency — consistently converting high physical exposure into substantially lower residual risk. Mispriced risk is concentrated in South Asia. South Asia accounts for the majority of cities where residual RAJ scores remain high and adaptation rates remain comparatively low relative to the scale of physical exposure. An important caveat: Scores in this report reflect city-level averages — risk can vary within cities, down to the neighbourhood or street level. To explore any city in greater detail, you can access address-level scores via a free, zero-commitment trial of our platform: app.alphageo.ai/trial_setup2. Methodology2.1 Data SourceAll climate risk scores in this report are derived from AlphaGeo’s Climate Risk & Resilience Index (CRRI), a global proprietary dataset.This report scores each city across six physical climate risk hazard layers — including inland and coastal flood, heat stress, drought, wildfires, and hurricane wind — with a unique, proprietary dataset on location adaptation capacity to produce both a:a. Physical risk score (i.e., unmitigated risk); and b. Resilience-adjusted Risk Score (RAJ, i.e., mitigated risk) More on AlphaGeo’s Resilience-adjusted Risk methodology here: Learn more. 2.2 Score Definitions An important caveat: Scores in this report reflect city-level averages — risk can vary within cities, down to the neighbourhood or street level. To explore any city in greater detail, you can access address-level scores via a free, zero-commitment trial of our platform: app.alphageo.ai/trial_setup2.3 Score Categories The diagram below shows how CRRI scores map to risk tiers across each hazard type. Scores are expressed as global percentiles (0–100) relative to AlphaGeo’s full global dataset.3. Global Overview: Risk and Resilience Across the World’s Largest Cities The scatter plot below plots each city’s physical risk score against its resilience-adjusted risk (RAJ). Cities below the diagonal line have successfully reduced risk through adaptation measures. The further below the line, the more effective the adaptation. Cities close to the line show limited measurable reduction in baseline exposure relative to their physical risk.Figure 4. Physical Risk vs. RAJ Score for Major Cities Analyzed. Bubble size reflects city population. Points below the diagonal represent adaptation progress; the gap between risk and RAJ is the adaptation delta. (Source: AlphaGeo CRRI, 2025) Three clusters emerge immediately. First, a group of European, African, and Latin American cities with both low physical risk and low RAJ scores — these cities benefit from both favorable geography and strong adaptation performance on the CRRI. Second, a dense middle cluster of Asian and Middle Eastern cities with moderate-to-high physical risk but varying degrees of adaptation performance. Third, a cluster of South Asian cities — particularly Ahmedabad, Hyderabad Pakistan, Kolkata, Lahore, and Dhaka — that combine extreme physical exposure with RAJ scores in the 32–41 range.4. The Most Resilient Major Cities Resilience among the world’s largest cities is driven by 2 independent factors: low baseline physical exposure (primarily a function of geography and climate zone) and high adaptation investment (a function of governance, wealth, and policy). The cities at the top of this ranking benefit from both.Figure 1. 20 Most Resilient Major Cities by RAJ Score (lower = more resilient). Teal bars show resilience-adjusted risk; pink bars show physical risk. (Source: AlphaGeo CRRI, 2025) 4.1 North American and European Leaders Chicago (RAJ: 8) is the most resilient major city in this analysis, benefiting from low coastal and tropical hazard exposure combined with robust urban infrastructure. Barcelona (11), Paris (12), and London (15) represent European cities where temperate climate geography and decades of investment in flood defenses, heat action plans, and urban resilience frameworks produce consistently low residual risk. Madrid, despite carrying a higher physical risk score, shows one of the highest adaptation rates in the analysis — reflecting Spain’s National Adaptation Plan.4.2 African StandoutsAddis Ababa (RAJ: 10), Nairobi (13), and Johannesburg (16) rank among the most resilient major cities globally. These cities benefit primarily from favorable elevation and climate geography — lower baseline hazard exposure on the key CRRI dimensions, combined with moderate adaptation performance. By RAJ score, all three outperform Bangkok, Jakarta, and every South Asian city in this analysis.4.3 Latin American and Asia-Pacific Performers Buenos Aires (RAJ: 12), Bogota (13), Rio de Janeiro (14), and Sao Paulo (15) rank among the most resilient major cities — a result consistent with relatively low baseline hazard exposure on the key CRRI dimensions. In the Asia-Pacific region, Melbourne (11) and Sydney (16) stand out, along with Jakarta (14) and Chongqing (14), which both carry physical risk scores of 22 and achieve RAJ scores of 14.5. The Least Resilient Major CitiesAt the opposite end of the spectrum, a cluster of South Asian cities face extreme residual risk — indicating high exposure with limited adaptation impact.Figure 2. 20 Least Resilient Major Cities by RAJ Score (higher = less resilient). Physical risk (pale red) vs. RAJ Score (deep red). The gap between bars is the adaptation delta. (Source: AlphaGeo CRRI, 2025) 5.1 South Asia: A Region Under Extreme Pressure The 6 highest-risk major cities globally are all in South Asia: Ahmedabad (41), Hyderabad Pakistan (41), Multan (38), Dhaka (36), Kolkata (35), and Lahore (35), driven largely by heat exposure. These cities have adaptation rates that remain relatively low given the scale of physical risk.  Dhaka is the most physically exposed city in this analysis. With a physical risk score of 60, it carries the highest raw exposure of any major city in this dataset — and despite a meaningful adaptation delta of 24 points, the residual RAJ of 36 remains among the highest of any large city. For real asset investors, a RAJ score at this level warrants close scrutiny of exposure to property value deterioration, infrastructure lifespan, and operational continuity. 5.2 Japanese Megacities: High Risk, Strong Adaptation Tokyo (RAJ: 20), Nagoya (20), Osaka (22), and Fukuoka (23) carry higher physical risk scores driven by heat exposure.  6. Adaptation Efficiency Leaders Adaptation rate measures the percentage of physical risk successfully offset by existing adaptation measures. This metric reveals which cities are generating the most resilience per unit of investment — and provides a practical benchmark for what is achievable.Figure 3. Top 20 Cities by Adaptation Rate (%). Darker teal = strongest performers. (Source: AlphaGeo CRRI, 2025) 6.1 The China Adaptation Story One finding in this adaptation analysis is the consistency of Chinese megacities at the top of the efficiency rankings. Beijing (50%), Tianjin (49%), Shenzhen (49%), Shanghai (46%), Nanjing (46%), and Wuhan (46%) all achieve adaptation rates above 46% — a cluster of performance that stands out globally. It is worth noting that the CRRI reflects the measurable gap between physical risk and resilience-adjusted risk; investors should read this as a signal of relative positioning rather than a guarantee of protection. Figure 5. China’s Megacities: Physical Risk vs. RAJ Score. The consistently wide gap between bars illustrates China’s system-level adaptation investment. (Source: AlphaGeo CRRI, 2025) 6.2 Other Standout Performers Madrid (49%) and Casablanca (47%) are 2 cities often overlooked in climate resilience discussions. Casablanca is a North African city with a high physical risk score of 49 while achieving a 23-point adaptation delta. Among major cities in middle-income economies, this places Casablanca in a notably strong position relative to its physical risk baseline. Los Angeles (54%) and New York (53%), Seoul (46%), Philadelphia (50%), and Washington D.C. (44%) round out the top adaptation performers.7. Implications and Conclusion Asset Owners and ManagersRAJ scores set a residual risk floor — the exposure that current adaptation cannot absorb. High-RAJ cities require underwriting that accounts for structural exposure. Cities with strong adaptation rates and improving RAJ trajectories — particularly East Asian and select MENA cities — represent relative resilience value where adaptation investment is compressing risk.Sovereign and Municipal Bond InvestorsCountries whose largest cities carry high RAJ scores without improving adaptation rates face growing contingent liabilities from disaster response, infrastructure repair, and population displacement. Bangladesh and Pakistan warrant particular attention given the combination of high urban RAJ scores and limited capacity to close the adaptation gap at the pace the physical risk profile demands.Adaptation Consultants and Policymakers The adaptation rate shows where infrastructure investment is producing measurable results and where the gap remains widest. For policymakers, the adaptation rate provides a standardized, trackable baseline for measuring whether adaptation spending is translating into reduced residual risk over time.Regulatory Disclosure TCFD, ISSB IFRS S2, and EU CSRD require portfolio-level physical risk disclosure. AlphaGeo’s three-metric framework maps directly — Risk Score (hazard identification), RAJ Score (risk assessment), Adaptation Delta (resilience evaluation) — supporting defensible, quantitative disclosure at the asset level.  Adaptation Finance and Development InstitutionsCasablanca (47%), Guadalajara (42%), and Manila (43%) demonstrate that meaningful adaptation is achievable in emerging economies with targeted investment. The gap between these cities’ adaptation rates and peer cities in similar income brackets quantifies the adaptation finance opportunity. Directing concessional capital to cities with high physical risk and low adaptation rates — particularly in South Asia — represents the highest-impact deployment of adaptation finance globally. Explore CRRI for your portfolio: Free trial Explore our methodology: docs.alphageo.ai Appendix: Full City ListThe table below ranks all 72 analyzed cities from most to least resilient by RAJ Score. Physical Risk, RAJ Score, Adaptation Delta, and Adaptation Rate are shown for each city. Green RAJ scores indicate low residual risk (≤ 15); amber indicates moderate (15–26); red indicates high (> 26). About AlphaGeo & Legal Disclaimer About AlphaGeo AlphaGeo is a climate intelligence company providing location-level physical risk and adaptation data to institutional investors, infrastructure owners, and policymakers globally. The Climate Risk & Resilience Index (CRRI) is AlphaGeo’s flagship product, covering assets and cities globally with annual updates.For access to city-level and asset-level data, portfolio screening tools, and custom analysis, visit alphageo.ai or contact the AlphaGeo team directly.Legal DisclaimerThis report is provided for informational purposes only and is not for redistribution, resale, or sublicensing. AlphaGeo analytics are intended for internal decision support and may be shared with clients but not commercialized without AlphaGeo’s prior written consent. The scores and analyses contained herein are derived from AlphaGeo’s proprietary Climate Risk & Resilience Index (CRRI) and reflect data as of 2025. 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This analysis examines the climate risk and resilience of the world's seventy-two largest cities using AlphaGeo’s Climate Risk & Resilience Index (CRRI), which differentiates between raw physical exposure and resilience-adjusted risk (RAJ) or adaptation delta. The core finding demonstrates that geographical location is not deterministic; instead, resilience is fundamentally a function of policy implementation and investment, indicating that risk profiles diverge significantly even among cities with similar underlying physical hazards.

The method employed by AlphaGeo derives climate risk scores from six distinct hazard layers, including inland and coastal flood, heat stress, drought, wildfires, and hurricane wind, combined with proprietary data on location adaptation capacity. This process yields two critical metrics for each city: the raw physical risk score (unmitigated risk) and the Resilience-adjusted Risk Score (RAJ), which represents the residual risk after accounting for existing adaptation measures. Cities below the diagonal line when plotting physical risk against RAJ have successfully reduced risk through adaptation, with the further separation below this line signifying more effective mitigation.

The assessment reveals distinct global clusters regarding resilience. A group of European, African, and Latin American capitals generally perform well, benefiting from favorable climate geography combined with robust investment in flood defenses and urban resilience frameworks, resulting in low residual risks. Conversely, a cluster of South Asian cities faces a compounding crisis, where extreme physical exposure is coupled with relatively low adaptation performance. Cities such as Ahmedabad, Hyderabad Pakistan, Multan, Dhaka, Kolkata, and Lahore combine high physical risk scores with RAJ scores in the 32 to 41 range, underscoring a critical gap between their exposure and adaptive capacity.

Adaptation efficiency further distinguishes city performance. The analysis shows that Chinese megacities, including Beijing, Tianjin, Shenzhen, Shanghai, Nanjing, and Wuhan, lead in adaptation efficiency by consistently converting high physical risk into substantially lower residual risk, achieving adaptation rates often above forty-six percent. This suggests that significant, system-level investment is translating into measurable resilience gains. Other notable performers include Madrid and Casablanca, which demonstrate strong adaptation deltas relative to their physical risk baselines.

The implications for various stakeholders are substantial. For asset owners and managers, the RAJ score establishes a residual risk floor that necessitates underwriting scrutiny concerning potential property value deterioration and infrastructure continuity. Sovereign and municipal bond investors must pay attention to countries where high urban RAJ scores coincide with limited capacity to close the adaptation gap, particularly in South Asia, as these entities face growing contingent liabilities from disaster response. For policymakers, the adaptation rate provides a standardized metric for tracking whether adaptation spending translates into reduced residual risk over time. Furthermore, this framework supports regulatory disclosure requirements such as TCFD and ISSB IFRS S2 by mapping risk identification, risk assessment, and resilience evaluation directly to asset levels. Finally, the data pinpoints areas where adaptation finance can be most impactful; directing concessional capital toward cities exhibiting high physical risk but low adaptation rates, especially in South Asia, represents the most effective global deployment of climate adaptation funding.