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Home / Publications / Research / Economic Brief / 2024

The Economic and Human Impacts of Hurricanes
By Toan Phan and Sonya Ravindranath Waddell

Economic Brief
December 2024, No. 24-38

Key T akeaways
Hurricane damages in the U.S. are highly sensitive to storm intensity and economic
conditions, with inadequate adaptation exacerbating the high costs.
Hurricanes result in long-term economic damage and excess mortality, particularly
among vulnerable populations.
Outdated o cial oodplain maps and ood insurance subsidies hinder e ective
adaptation.

Hurricane Helene brought large destruction to parts of the Fifth Federal Reserve District,
most notably western North Carolina.1 Helene was the deadliest hurricane to hit the
mainland U.S. since Hurricane Katrina in 2005, and Helene's impact on both metro and rural
areas was devastating. T hen, less than a week later, Hurricane Milton made landfall in
Florida as a Category 3 storm.
Such powerful storms not only have immediate e ects but can have lasting ones as well.
T here are recent advancements in the research literature that help us better understand
what more or stronger hurricanes might mean for our future. T hese recent advancements
include relating economic e ects of hurricanes to physical measures of hurricane strength
(such as maximum wind speed) and looking at the longer-term impact of hurricanes on
mortality. Recent research also indicates that the economic and human cost of hurricanes
is likely much larger than prior estimates suggest, but also that adaptation matters. T his
article summarizes what we know about the mortality and economic impacts of hurricanes,
both in the immediate aftermath and years later.
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The Formation and Severity of Hurricanes
Hurricanes (or tropical cyclones) form over warm ocean waters, driven by heat and
moisture. Depending on their location, they are called hurricanes, typhoons or, if wind
speeds are below 74 mph, tropical storms. Despite these naming di erences, the
underlying physics are the same: As explained by the National Oceanic and Atmospheric
Administration, rising warm air creates low pressure, drawing in moist air that spirals
inward and forming the cyclone.
T he 2024 hurricane season has been unusually intense, with major hurricanes like Helene
and Milton underscoring this year's severity. T here are two critical issues when measuring
the impact of a hurricane: how strong the hurricane is and where it hits.

Strength and Location ... and Mitigation E orts?
In 2010, Nobel Laureate William Nordhaus argued that damages from U.S. hurricanes are
extremely sensitive to hurricane intensity.2 He also argued that Hurricane Katrina was one
of the most intense storms to make landfall in the U.S. and that it hit one of the most
economically vulnerable regions in the country. T hus, the destruction was particularly
costly, in both human and economic terms.
More recent research has highlighted that the economic impact of a hurricane might di er
across countries. Economists Laura Bakkensen and Robert Mendelsohn used data from
1960-2010 to estimate the relationship between tropical cyclone damage and fatalities and
storm intensity (either sea level barometric pressure or maximum sustained wind speed
upon landfall), as well as population density and per capita income where the storm
landed.3 T hey analyzed countries that are members of the Organization for Economic
Cooperation and Development (OECD, which includes the U.S.) as well as a sample of nonOECD countries.
T hey found that the U.S. is signi cantly di erent from the rest of the world: In the U.S.,
damages scale at least proportionately with economic growth. As with Nordhaus's ndings,
Bakkensen and Mendelsohn nd that damage in the U.S. is much more reactive to cyclone
characteristics, such as pressure and windspeed. For other countries, however, damage
does not necessarily increase as incomes rise. As economies grow, the dollar value of
damage increases, but adaptation also grows with income, mitigating the impact of
damages. For non-U.S. higher income countries, the increase in adaptation that
accompanies income growth provides protection from hurricane-in icted damage.
In the end, the U.S. accounts for approximately 60 percent of global annual damages
despite only receiving an average of two landfalls per year and only 4 percent of global
cyclones, according to another work by Bakkensen and Mendelsohn.4 T he rest of the
OECD countries combined su er 14 percent of damages, and the 86 non-OECD countries
and territories sampled by the authors account for the remaining 26 percent.
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Any measure of hurricane damage will be dependent on where the hurricane hits. T he
deaths and economic destruction of Hurricane Katrina, for example, was connected not just
to the storm's high winds but also the ooding that hit the area (including New Orleans)
when the storm surge breached the levees. T he economic and human impact of Hurricane
Helene will be less than that of Hurricane Katrina because it ooded a less populous area.
On the other hand, Bakkensen and Mendelsohn nd that fatalities do not scale with
population density: Cities actually protect human lives — and, in some cases, mitigate other
damages — more e ectively than rural areas. T his could re ect better building codes or
higher resilience in cities relative to more sparsely populated rural regions.
T here are things that countries and communities can do to adapt to cyclones and mitigate
damage. For example:
T hey can engage in ood protection such as levees or beach nourishment.
T hey can change building codes to increase the resilience of dwellings to winds and
oods.
T hey can create zoning ordinances to keep people and buildings away from high-risk
locations.
Bakkensen and Mendelsohn attribute the impact of hurricanes on the U.S.'s limited
adaptation to tropical cyclones compared to other countries. T hey nd evidence that the
lack of adaptation to damage in the U.S. led to a damage function 14 times higher than in
other OECD countries.

The Persistence of the Economic Impact
While there is a long-standing literature on the economic e ects of hurricane damage,
there are noteworthy developments in the more recent literature. For example,
researchers used to look at the persistence of economic impact in a more limited way. A
2008 paper nds that there is an immediate decrease in employment and increase in
earnings when a U.S. county is directly hit by a hurricane — with larger e ects from higher
category hurricanes — but these e ects dissipate over time.5
On the other hand, a more recent working paper uses meteorological data to reconstruct
every country's exposure to the universe of tropical cyclones during the period 1950-2008
and nds that national incomes of both rich and poor countries decline relative to their
pre-disaster trend and do not recover within 20 years.6 T he authors nd that income losses
arise from a small but persistent suppression of annual growth rates spread across the 15
years following a disaster — a 90th percentile event reduces per capita incomes by 7.4
percent as much as two decades later.
Similarly, a 2024 paper evaluates the long-term e ects of tropical cyclones on human
mortality in the contiguous U.S. between 1930 and 2015 and nds that the increase in
excess mortality persists for 15 years after each event.7 It also nds that the average

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tropical cyclone generates 7,000 to 11,000 excess deaths, well exceeding the average of 24
immediate deaths reported in government statistics.
One key dynamic is the impact that a hurricane has beyond damage to infrastructure and
property: Hurricanes can lead to population relocation, social and economic disruption,
ecological changes, reduced access to basic services, pollution, crop damage, and changes
in insurance or political action. For example:
Individuals may use retirement savings to repair property damage and thus reduce
future health care spending to compensate.
Public budgets may meet the immediate disaster needs at the expense of longer-run
health investments.
Another impact could be related to relocation as family members move away, removing
critical support. T he population of New Orleans, for example, remains 25 percent below its
pre-Katrina level.
Other recent studies also show that hurricanes signi cantly lower long-term economic
growth by depressing productivity and slowing recovery, leading to lasting economic
scarring.8 Vulnerable populations — such as coastal communities and racial minorities —
are especially at risk, underscoring gaps in current adaptation policies.

Flood Zones, Insurance and Mortgage Default
Insurance is another highly relevant discussion. Fair insurance can facilitate a clear
understanding of expected risk, while subsidized insurance may reduce adaptation by
e ectively understating the risk to policyholders.
Speci cally, one major adaptation gap in the U.S. is inadequate ood insurance. Hurricanes
cause ooding through storm surges and heavy rainfall, and ood insurance is
predominantly provided in the U.S. through the National Flood Insurance Program (NFIP).
One paper and the references it cites nd that the NFIP relies on outdated ood maps,
classi es many high-risk homes as low-risk, and vastly underinsures homes (particularly
those misclassi ed as being outside oodplains).9
In particular, not having adequate insurance can present considerable issues not only for
homeowners, but for entire communities and their surrounding regions as well.
Underinsured homeowners are much more likely to default on their mortgages after
ooding, exacerbating nancial strain and contributing to the slow recovery often seen
after hurricanes.10 Figure 1 shows ood insurance uptake around the country by ZIP code,
and Figure 2 shows the same speci cally for Fifth District states.

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Enlarge
Another reason why the U.S. is less adapted to hurricanes may be due to NFIP subsidies
reducing incentives for migration away from real estate investment in ood-prone areas.
NFIP subsidies lower premiums for properties in high-risk areas, reducing the nancial
burden and encouraging people to stay rather than relocate to safer locations. T his, in
turn, in ates property values and concentrates population and assets in ood-prone
regions.11 T his distorted investment and reduced migration hinder e ective adaptation to
climate risks, ultimately undermining resilience.
T here is some support that the NFIP discourages gradual retreat away from high-risk
areas. For example, a 2024 paper shows that population increases in ood-prone areas as
a direct response to community enrollment in the NFIP and that the NFIP causes larger
population increases in historically riskier areas.12 In other words, the private bene t
households receive in the form of a reduction in potential risks produces adverse behavior,
imposing signi cant external costs.

Conclusion
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T he availability of increasingly granular data has provided new opportunity to understand
the impact of hurricanes on the immediate and long-term trajectories of a ected
communities. It is clear that the strength of the weather event matters, as does the income
and population density of the location it hits. As income increases, fatalities from storms
decline, but damage only declines to the extent that the region has the infrastructure in
place to withstand events. Countries and communities can also mitigate damage by
promoting adaptation in more hurricane-prone or ood-prone areas. Encouraging
households to appropriately price risk is important as we negotiate future weather events,
especially given what we now know about the long-term consequences of severe
hurricanes.
T oan Phan is a senior economist and Sonya Ravindranath Waddell is a vice president and
economist in the Research Department at the Federal Reserve Bank of Richmond. T he
authors thank Sara Harrison for her assistance in generating the gures.

1 The Fifth Federal Reserve District includes the District of Columbia, Maryland, North Carolina,

South Carolina, Virginia and most of West Virginia.
2 See Nordhaus' 2010 paper "The Economics of Hurricanes and Implications of Global

Warming."
3 See Bakkensen and Mendelsohn's 2019 book chapter "Global Tropical Cyclone Damages and

Fatalities Under Climate Change: An Updated Assessment."
4 See Bakkensen and Mendelsohn's 2016 paper "Risk and Adaptation: Evidence From Global

Hurricane Damages and Fatalities."
5 See the 2008 paper "How Hurricanes A ect Wages and Employment in Local Labor Markets" by

Ariel Belasen and Solomon Polachek.
6 See the 2014 working paper "The Causal E ect of Environmental Catastrophe on Long-Run

Economic Growth: Evidence From 6,700 Cyclones" by Solomon Hsiang and Amir Jina.
7 See the 2024 paper "Mortality Caused by Tropical Cyclones in the United States" by Rachel

Young and Solomon Hsiang.
8 See, for example, the 2018 working paper "Climate Shocks, Cyclones and Economic Growth:

Bridging the Micro-Macro Gap" by Laura Bakkensen and Lint Barrage.
9 See the 2023 paper "Risk Rating Without Information Provision" by Philip Mulder and Carolyn

Kousky.
10 See the 2020 paper "Flood Damage and Mortgage Credit Risk: A Case Study of Hurricane

Harvey" by Carolyn Kousky, Mark Palim and Ying Pan.
11 See, for example, the 2022 paper "Going Underwater? Flood Risk Belief Heterogeneity and

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Coastal Home Price Dynamics" by Laura Bakkensen and Lint Barrage and the previously cited
paper "Risk Rating Without Information Provision."
12 See the 2024 paper "Does the National Flood Insurance Program Drive Migration to Higher

Risk Areas?" by Abigail Peralta and Jonathan Scott.

To cite this Economic Brief, please use the following format: Phan, T oan; and Waddell, Sonya

Ravindranath. (December 2024) "T he Economic and Human Impacts of Hurricanes." Federal
Reserve Bank of Richmond Economic Brief, No. 24-38.
T his article may be photocopied or reprinted in its entirety. Please credit the authors,
source, and the Federal Reserve Bank of Richmond and include the italicized statement
below.
Views expressed in this article are those of the authors and not necessarily those of the Federal
Reserve Bank of Richmond or the Federal Reserve System.

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