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Explore how extreme weather can put the prospect of Black livelihood, well-being, and socioeconomic mobility at greater risk.

Devastating wildfires, brutal heat, intense hurricanes, and extreme flooding. As a result of climate change, we’ve seen an increase in the frequency, severity, and intensity of hazardous weather across the United States. The National Oceanic and Atmospheric Administration (NOAA) estimates that between 2018 and 2022, the United States experienced 90 disasters with losses exceeding $1 billion each and total costs exceeding $621 billion; a 48 percent increase in the number of disasters per year; and a 37 percent increase in costs from the preceding decade. So far, 2023 is proving to be the costliest year yet when it comes to weather disasters.1Billion-Dollar Weather and Climate Disasters, 2023, NOAA National Centers for Environmental Information.

About the authors

This article is a collaborative effort by Zach Bruick, Munya Muvezwa, Kirtiman Pathak, Daniel Stephens, Shelley Stewart, and Alexis Trittipo, representing views from the McKinsey Institute for Black Economic Mobility and McKinsey’s Sustainability Practice.

Impacts of climate change—such as property value damage, loss of labor productivity, health problems due to prolonged exposure to heat or lack of clean water and air, and temporary or permanent displacement when a residence becomes uninhabitable—can put the prospect of Black socioeconomic mobility in the United States at greater risk. Black populations are particularly vulnerable to physical-hazard exposure, since they are concentrated in areas especially susceptible to extreme weather. As people and businesses attempt to adjust to a low-carbon economy, they must also further contend with second-order transition risks—such as the loss of jobs in impacted industries—resulting from market changes.

Our research methodology

Our analysis assessing the physical risks of climate change on Black populations in the United States draws from the expertise of McKinsey Climate Analytics, climate modeling from leading public and private firms, and socioeconomic data from the US Census Bureau’s 2020 American Community Survey.

The climate hazard analyses were conducted by McKinsey Climate Analytics, which is McKinsey’s sustainability solution for climate modeling led by experienced and credentialed climate scientists and meteorologists. The analysis for this study examined four climate hazards with particular relevance to Black communities: wildfires, extreme heat, hurricanes, and flooding. For wildfire risk, we crafted risk zones based on the number of high-fire-risk days (leveraging the Fire Weather Index, with a climate model ensemble based on data from the Climatology Lab MACA CMIP5 data set), elevation (NASA Shuttle Radar Topography Mission), and land cover (European Space Agency Climate Change Initiative). For extreme heat, we used heat stress projections from the Woodwell Climate Research Center. For hurricanes, we used climate-conditioned hurricane simulations from WindRiskTech, which account for how warming oceans and atmospheres may affect hurricane intensity and frequency. Flooding data was sourced from the World Resources Institute’s Aqueduct floods model.

For our analysis of the Southeastern region of the United States, we examined data from the above-mentioned sources for the following states: Alabama, Arkansas, Florida, Georgia, Louisiana, Maryland, Mississippi, North Carolina, South Carolina, Tennessee, and Virginia. We conducted census tract analyses by merging demographic features (primarily focusing on population composition by race but also looking at household wealth and median household income) with current and forward-looking views of climate hazards. Future projections of climate risk use a 20-year average centered on 2050, using the RCP 8.5 scenario, which is aligned to a global mean temperature rise of approximately 2°C over pre-industrial levels. (RCP stands for “representative concentration pathway.” Four RCP scenarios were developed by the Intergovernmental Panel on Climate Change to assess the impacts of various emission pathways on the climate system. RCP 8.5 has the highest emission concentrations across the four scenarios in the RCP framework.) For each climate hazard, a relevant metric was chosen to classify areas at high or low risk. For wildfires, the metric used was living in a high-risk fire zone; for extreme heat, the total number of working hours potentially lost due to heat stress; for hurricanes, the 1-in-100-year likelihood of sustained wind speed exceeding 74 mph; and for flooding, the 1-in-100-year likelihood of flood depth exceeding a half inch.

For our urban analysis examples, we selected Baltimore and New Orleans based on their diverse populations, history of redlining and segregation, and geographic locations with a susceptibility to flooding. Our mapping data comes from the University of Richmond’s Mapping Inequality project, the definitive academic resource for data and research related to historical redlining in the United States.

Maps are a key diagnostic tool for assessing the impacts of climate change. In the following maps, we examine how extreme weather events and chronic climate changes may affect the prospect of Black socioeconomic mobility as the world continues to grow warmer. We look at the distribution of the Black population mapped against physical climate risk in the whole of the United States, regionally in several Southeastern states, and in two metropolitan areas with a history of segregation and redlining (see sidebar, “Our research methodology”). Given the deep impacts of climate change, it will be critical to help communities adapt and build resilience.

As the effects of climate change become more evident each year, we all have the opportunity to play a critical role in ensuring an inclusive response to climate change, both through equitable adaptation to climate hazards and to a just climate transition, by addressing the disproportionate impact on Black communities.

In order to manage the primary and second-order risks for Black communities created by climate change, among many approaches, both the public and private sectors can begin by considering the following:

  • broad education around both the impacts of climate on communities and the implications of climate risk on intergenerational wealth transfer, such as the effects on housing, an asset class heavily impacted by physical hazards
  • community leader engagement from Black communities as states plan for climate adaptation and transition to a lower carbon economy
  • financial inclusion of Black communities as stores, banks, and factories reorient their footprints and their operations to address climate risks
  • equitable access to finance and opportunities to integrate Black entrepreneurs in innovation hubs supporting a transition to a green economy

Climate change may create significant physical risks for Black populations in the United States, but it could create opportunities to address existing racial gaps, too. A concerted effort at understanding the impact of climate risk for Black workers, business owners, consumers, savers, and residents can help the private and public sectors identify racial gaps, allow for timely adaptation to build resilience against physical risks, and enable equitable access to climate finance opportunities.

Zach Bruick is a research science expert in McKinsey’s Denver office, Munya Muvezwa is a partner in the Charlotte office, Kirtiman Pathak is a senior expert in the Stamford office, Daniel Stephens is a senior partner in the Washington, DC, office, Shelley Stewart is a senior partner in the New York office, where Alexis Trittipo is a partner.

The authors wish to thank Kelly Kochanski, Noma Moyo, Xiaohan Wang, and the McKinsey Climate Analytics team for their contributions to this article.


This article was edited by Christine Y. Chen, a senior editor in the Denver office.

This interactive experience is a collaborative effort led by McKinsey Global Publishing, with contributions from Vicki Brown, Nayomi Chibana, Stephen Landau, Janet Michaud, Diane Rice, Jonathon Rivait, Dana Sand, Katie Shearer, and Jessica Wang.

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