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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,