Environment
The Frequency of Billion-Dollar Disasters in the U.S.
Frequency of Billion-Dollar Disasters in the U.S.
Wildfires on the Hawaiian island of Maui have had devastating effects on people, towns, and nature, and the final cost is nowhere near tallied. They are the latest of many climate disasters in the U.S.—and data shows that their frequency has been increasing.
These graphics from Planet Anomaly use tracking data from the National Oceanic and Atmospheric Administration (NOAA) to show the average number of days between billion-dollar weather disasters in the U.S. from 1980 to 2022.
Methodology
NOAA’s database examines billion-dollar weather and climate disasters in America. Total associated damages and costs for each event are adjusted for inflation using the 2023 Consumer Price Index (CPI).
Disasters are categorized as one of seven different types:
- Drought: Prolonged dry spells resulting in water shortages and reduced soil moisture.
- Flooding: Overflow of water inundating land usually due to intense rainfall or melting snow.
- Tropical Cyclone: Intense rotating storm systems known as hurricanes.
- Severe Storm: Includes windstorms and tornadoes, hail, lightning, and heavy precipitation.
- Winter Storm: Heavy snow, freezing rain, and icy conditions impacting transportation and infrastructure.
- Wildfire: Uncontrolled fires consuming vast areas of forests and vegetation.
- Freezes: Sub-zero temperatures damaging crops and infrastructure, such as pipes or energy lines.
The average days between billion-dollar disasters are calculated from the start dates of adjacent events within a single year.
Days Between Billion-Dollar Disasters in the U.S. (1980‒2022)
Between 1980 and 2022, there were 155 total disasters in the U.S. that cost more than a billion dollars in damages when adjusted for inflation.
And when looking at the average number of days between these billion-dollar events within each year, we can see the decades becoming more and more costly:
Year | Avg. Days Between Disasters |
---|---|
1980 | 60 |
1981 | 113 |
1982 | 85 |
1983 | 66 |
1984 | 78 |
1985 | 48 |
1986 | 104 |
1987 | N/A |
1988 | N/A |
1989 | 47 |
1990 | 74 |
1991 | 71 |
1992 | 44 |
1993 | 44 |
1994 | 54 |
1995 | 46 |
1996 | 73 |
1997 | 111 |
1998 | 39 |
1999 | 64 |
2000 | 64 |
2001 | 30 |
2002 | 51 |
2003 | 34 |
2004 | 23 |
2005 | 47 |
2006 | 39 |
2007 | 35 |
2008 | 23 |
2009 | 33 |
2010 | 40 |
2011 | 16 |
2012 | 30 |
2013 | 30 |
2014 | 30 |
2015 | 36 |
2016 | 20 |
2017 | 13 |
2018 | 19 |
2019 | 18 |
2020 | 14 |
2021 | 18 |
2022 | 20 |
Back in the early 1980s, the average interval between these major disasters (within each year) was 75 days. Even more starkly, 1987 had no climate disasters that topped $1 billion in damages, while 1988 only had one.
Fast forward to 2022, and that average window has drastically reduced to a mere 20 days between billion-dollar disasters in the United States.
Breaking Down Billion-Dollar Disasters by Type
Of the 155 disasters tracked through 2022, the majority have been in the form of severe storms including tornadoes, windstorms, and thunderstorms.
The worst severe storms include an outbreak of tornadoes in April 2011 across many central and southern states, with an estimated 343 tornadoes causing a total of $14 billion in CPI-adjusted damages. In August 2020, a powerful derecho—a widespread and intense windstorm characterized by straight-line winds—devastated millions of acres of crops across the Midwest and caused $13 billion in adjusted damages.
But the most expensive disasters so far have been hurricanes. Eight hurricanes top the inflation-adjusted damages charts, with Hurricane Katrina’s unprecedented devastation in 2005 leading with a staggering $194 billion.
Will the U.S. be prepared for more costly disasters going forward? And will climate change continue to accelerate the pace of weather disasters in the U.S. even more?

This article was published as a part of Visual Capitalist's Creator Program, which features data-driven visuals from some of our favorite Creators around the world.
Environment
Tracking Antarctica Sea Ice Loss in 2023
Antarctica’s ice extent has reached record lows. This visual details and maps Antarctica sea ice loss over the last two years.

Tracking Antarctica Sea Ice Loss in 2023
Scientists have been tracking the extent and concentrations of Antarctica’s sea ice for decades, and the last two years have raised global alarm bells.
As temperatures are breaking records around the world, the southernmost continent’s ice sheet is visibly smaller than it has been in decades past.
The above graphic uses tracking data from the National Oceanic and Atmospheric Administration (NOAA) and the National Snow and Ice Data Center (NSIDC) to visualize sea ice extent in Antarctica as of August 2023
How Much Ice Has Antarctica Lost?
According to satellite data tracked by the NSIDC, sea ice extent in Antarctica has shrunk to record lows.
When compared to previously charted data dating back to 1979, daily record lows in sea ice extent have been recorded for every day in 2023 so far.
Here is how daily Antarctic sea ice extent in 2023 compares to 2022 (which had many of the previous record lows), and the median from 1981 to 2010.
Date | 2023 (km²) | 2022 (km²) | Median (1981‒2010, km²) |
---|---|---|---|
Aug 24 | 15.87M | 17.29M | 17.94M |
Aug 23 | 15.79M | 17.24M | 17.91M |
Aug 22 | 15.74M | 17.21M | 17.89M |
Aug 21 | 15.69M | 17.19M | 17.87M |
Aug 20 | 15.64M | 17.14M | 17.84M |
Aug 19 | 15.55M | 17.11M | 17.82M |
Aug 18 | 15.45M | 17.06M | 17.79M |
Aug 17 | 15.34M | 16.99M | 17.73M |
Aug 16 | 15.22M | 16.93M | 17.68M |
Aug 15 | 15.12M | 16.88M | 17.63M |
Aug 14 | 15.07M | 16.84M | 17.60M |
Aug 13 | 15.04M | 16.81M | 17.56M |
Aug 12 | 15.02M | 16.78M | 17.54M |
Aug 11 | 15.00M | 16.76M | 17.50M |
Aug 10 | 14.98M | 16.75M | 17.45M |
Aug 09 | 14.96M | 16.73M | 17.39M |
Aug 08 | 14.95M | 16.70M | 17.34M |
Aug 07 | 14.92M | 16.64M | 17.27M |
Aug 06 | 14.88M | 16.57M | 17.21M |
Aug 05 | 14.86M | 16.46M | 17.15M |
Aug 04 | 14.82M | 16.35M | 17.10M |
Aug 03 | 14.78M | 16.22M | 17.05M |
Aug 02 | 14.75M | 16.11M | 17.01M |
Aug 01 | 14.69M | 15.99M | 16.96M |
Jul 31 | 14.62M | 15.87M | 16.92M |
Jul 30 | 14.55M | 15.76M | 16.86M |
Jul 29 | 14.47M | 15.68M | 16.79M |
Jul 28 | 14.38M | 15.62M | 16.71M |
Jul 27 | 14.29M | 15.59M | 16.63M |
Jul 26 | 14.21M | 15.57M | 16.56M |
Jul 25 | 14.16M | 15.56M | 16.49M |
Jul 24 | 14.10M | 15.53M | 16.41M |
Jul 23 | 14.03M | 15.50M | 16.33M |
Jul 22 | 13.97M | 15.43M | 16.24M |
Jul 21 | 13.91M | 15.35M | 16.16M |
Jul 20 | 13.82M | 15.25M | 16.08M |
Jul 19 | 13.70M | 15.14M | 16.00M |
Jul 18 | 13.58M | 15.03M | 15.94M |
Jul 17 | 13.45M | 14.93M | 15.88M |
Jul 16 | 13.31M | 14.84M | 15.80M |
Jul 15 | 13.17M | 14.78M | 15.71M |
Jul 14 | 13.07M | 14.72M | 15.62M |
Jul 13 | 12.98M | 14.64M | 15.54M |
Jul 12 | 12.88M | 14.57M | 15.46M |
Jul 11 | 12.77M | 14.47M | 15.39M |
Jul 10 | 12.65M | 14.37M | 15.32M |
Jul 09 | 12.54M | 14.28M | 15.25M |
Jul 08 | 12.43M | 14.19M | 15.19M |
Jul 07 | 12.36M | 14.12M | 15.12M |
Jul 06 | 12.32M | 14.06M | 15.05M |
Jul 05 | 12.31M | 13.98M | 14.98M |
Jul 04 | 12.28M | 13.89M | 14.91M |
Jul 03 | 12.22M | 13.79M | 14.82M |
Jul 02 | 12.14M | 13.68M | 14.73M |
Jul 01 | 12.06M | 13.58M | 14.64M |
Jun 30 | 11.96M | 13.46M | 14.54M |
Jun 29 | 11.87M | 13.33M | 14.45M |
Jun 28 | 11.81M | 13.19M | 14.36M |
Jun 27 | 11.75M | 13.06M | 14.26M |
Jun 26 | 11.68M | 12.92M | 14.17M |
Jun 25 | 11.61M | 12.81M | 14.07M |
Jun 24 | 11.53M | 12.73M | 13.98M |
Jun 23 | 11.46M | 12.67M | 13.88M |
Jun 22 | 11.39M | 12.61M | 13.79M |
Jun 21 | 11.31M | 12.56M | 13.69M |
Jun 20 | 11.21M | 12.50M | 13.59M |
Jun 19 | 11.10M | 12.41M | 13.48M |
Jun 18 | 11.02M | 12.32M | 13.37M |
Jun 17 | 10.92M | 12.22M | 13.26M |
Jun 16 | 10.84M | 12.11M | 13.17M |
Jun 15 | 10.78M | 12.02M | 13.08M |
Jun 14 | 10.73M | 11.92M | 12.98M |
Jun 13 | 10.66M | 11.81M | 12.89M |
Jun 12 | 10.61M | 11.72M | 12.81M |
Jun 11 | 10.54M | 11.62M | 12.72M |
Jun 10 | 10.46M | 11.53M | 12.61M |
Jun 09 | 10.39M | 11.45M | 12.48M |
Jun 08 | 10.33M | 11.36M | 12.36M |
Jun 07 | 10.26M | 11.26M | 12.25M |
Jun 06 | 10.18M | 11.15M | 12.13M |
Jun 05 | 10.09M | 11.00M | 12.02M |
Jun 04 | 9.99M | 10.87M | 11.93M |
Jun 03 | 9.87M | 10.74M | 11.84M |
Jun 02 | 9.75M | 10.64M | 11.74M |
Jun 01 | 9.64M | 10.58M | 11.65M |
May 31 | 9.53M | 10.54M | 11.56M |
May 30 | 9.43M | 10.49M | 11.47M |
May 29 | 9.36M | 10.43M | 11.37M |
May 28 | 9.30M | 10.35M | 11.27M |
May 27 | 9.23M | 10.27M | 11.17M |
May 26 | 9.16M | 10.20M | 11.08M |
May 25 | 9.09M | 10.14M | 10.99M |
May 24 | 8.98M | 10.07M | 10.89M |
May 23 | 8.86M | 10.01M | 10.79M |
May 22 | 8.73M | 9.94M | 10.68M |
May 21 | 8.61M | 9.85M | 10.57M |
May 20 | 8.52M | 9.76M | 10.45M |
May 19 | 8.43M | 9.66M | 10.33M |
May 18 | 8.36M | 9.56M | 10.24M |
May 17 | 8.30M | 9.46M | 10.14M |
May 16 | 8.25M | 9.34M | 10.03M |
May 15 | 8.16M | 9.20M | 9.92M |
May 14 | 8.06M | 9.09M | 9.82M |
May 13 | 7.96M | 8.99M | 9.69M |
May 12 | 7.85M | 8.88M | 9.58M |
May 11 | 7.72M | 8.77M | 9.46M |
May 10 | 7.61M | 8.67M | 9.35M |
May 09 | 7.50M | 8.55M | 9.23M |
May 08 | 7.39M | 8.40M | 9.12M |
May 07 | 7.28M | 8.26M | 9.00M |
May 06 | 7.17M | 8.13M | 8.88M |
May 05 | 7.06M | 8.02M | 8.77M |
May 04 | 6.96M | 7.91M | 8.65M |
May 03 | 6.86M | 7.80M | 8.52M |
May 02 | 6.77M | 7.69M | 8.41M |
May 01 | 6.66M | 7.59M | 8.29M |
Apr 30 | 6.56M | 7.48M | 8.17M |
Apr 29 | 6.48M | 7.35M | 8.06M |
Apr 28 | 6.38M | 7.24M | 7.95M |
Apr 27 | 6.28M | 7.12M | 7.83M |
Apr 26 | 6.19M | 7.00M | 7.71M |
Apr 25 | 6.09M | 6.86M | 7.59M |
Apr 24 | 5.98M | 6.74M | 7.48M |
Apr 23 | 5.89M | 6.62M | 7.37M |
Apr 22 | 5.80M | 6.50M | 7.27M |
Apr 21 | 5.71M | 6.39M | 7.18M |
Apr 20 | 5.64M | 6.27M | 7.09M |
Apr 19 | 5.59M | 6.15M | 6.99M |
Apr 18 | 5.52M | 6.00M | 6.88M |
Apr 17 | 5.45M | 5.86M | 6.78M |
Apr 16 | 5.38M | 5.73M | 6.66M |
Apr 15 | 5.30M | 5.59M | 6.55M |
Apr 14 | 5.19M | 5.46M | 6.43M |
Apr 13 | 5.10M | 5.33M | 6.31M |
Apr 12 | 5.02M | 5.20M | 6.18M |
Apr 11 | 4.94M | 5.09M | 6.06M |
Apr 10 | 4.86M | 4.97M | 5.93M |
Apr 09 | 4.79M | 4.86M | 5.81M |
Apr 08 | 4.71M | 4.77M | 5.71M |
Apr 07 | 4.63M | 4.68M | 5.62M |
Apr 06 | 4.54M | 4.61M | 5.53M |
Apr 05 | 4.46M | 4.52M | 5.44M |
Apr 04 | 4.37M | 4.42M | 5.35M |
Apr 03 | 4.26M | 4.31M | 5.27M |
Apr 02 | 4.16M | 4.20M | 5.18M |
Apr 01 | 4.04M | 4.06M | 5.11M |
Mar 31 | 3.93M | 3.93M | 5.04M |
Mar 30 | 3.86M | 3.81M | 4.97M |
Mar 29 | 3.77M | 3.68M | 4.89M |
Mar 28 | 3.68M | 3.54M | 4.81M |
Mar 27 | 3.57M | 3.40M | 4.72M |
Mar 26 | 3.44M | 3.28M | 4.63M |
Mar 25 | 3.28M | 3.20M | 4.54M |
Mar 24 | 3.14M | 3.12M | 4.46M |
Mar 23 | 3.02M | 3.06M | 4.37M |
Mar 22 | 2.92M | 3.01M | 4.28M |
Mar 21 | 2.84M | 2.95M | 4.20M |
Mar 20 | 2.78M | 2.88M | 4.12M |
Mar 19 | 2.72M | 2.81M | 4.03M |
Mar 18 | 2.66M | 2.74M | 3.95M |
Mar 17 | 2.61M | 2.68M | 3.88M |
Mar 16 | 2.55M | 2.62M | 3.80M |
Mar 15 | 2.49M | 2.57M | 3.73M |
Mar 14 | 2.44M | 2.52M | 3.65M |
Mar 13 | 2.40M | 2.48M | 3.59M |
Mar 12 | 2.34M | 2.43M | 3.51M |
Mar 11 | 2.27M | 2.39M | 3.44M |
Mar 10 | 2.21M | 2.34M | 3.37M |
Mar 09 | 2.13M | 2.29M | 3.31M |
Mar 08 | 2.04M | 2.24M | 3.25M |
Mar 07 | 1.97M | 2.19M | 3.20M |
Mar 06 | 1.93M | 2.15M | 3.16M |
Mar 05 | 1.91M | 2.11M | 3.12M |
Mar 04 | 1.89M | 2.07M | 3.07M |
Mar 03 | 1.88M | 2.03M | 3.02M |
Mar 02 | 1.87M | 2.01M | 2.98M |
Mar 01 | 1.85M | 1.99M | 2.94M |
Feb 28 | 1.83M | 1.98M | 2.89M |
Feb 27 | 1.83M | 1.98M | 2.86M |
Feb 26 | 1.82M | 1.98M | 2.83M |
Feb 25 | 1.82M | 1.98M | 2.81M |
Feb 24 | 1.81M | 1.98M | 2.81M |
Feb 23 | 1.80M | 1.99M | 2.81M |
Feb 22 | 1.79M | 1.99M | 2.81M |
Feb 21 | 1.79M | 2.02M | 2.81M |
Feb 20 | 1.81M | 2.03M | 2.82M |
Feb 19 | 1.82M | 2.05M | 2.82M |
Feb 18 | 1.85M | 2.08M | 2.84M |
Feb 17 | 1.86M | 2.11M | 2.86M |
Feb 16 | 1.88M | 2.14M | 2.89M |
Feb 15 | 1.88M | 2.18M | 2.93M |
Feb 14 | 1.89M | 2.22M | 2.97M |
Feb 13 | 1.91M | 2.24M | 3.02M |
Feb 12 | 1.93M | 2.26M | 3.06M |
Feb 11 | 1.96M | 2.31M | 3.10M |
Feb 10 | 1.98M | 2.35M | 3.15M |
Feb 09 | 2.01M | 2.41M | 3.20M |
Feb 08 | 2.03M | 2.47M | 3.25M |
Feb 07 | 2.06M | 2.54M | 3.30M |
Feb 06 | 2.09M | 2.60M | 3.36M |
Feb 05 | 2.12M | 2.66M | 3.41M |
Feb 04 | 2.16M | 2.71M | 3.47M |
Feb 03 | 2.19M | 2.77M | 3.52M |
Feb 02 | 2.23M | 2.82M | 3.57M |
Feb 01 | 2.26M | 2.86M | 3.63M |
Jan 31 | 2.30M | 2.89M | 3.68M |
Jan 30 | 2.35M | 2.94M | 3.73M |
Jan 29 | 2.42M | 2.99M | 3.78M |
Jan 28 | 2.48M | 3.04M | 3.84M |
Jan 27 | 2.56M | 3.11M | 3.89M |
Jan 26 | 2.65M | 3.19M | 3.96M |
Jan 25 | 2.71M | 3.26M | 4.04M |
Jan 24 | 2.78M | 3.34M | 4.12M |
Jan 23 | 2.85M | 3.41M | 4.18M |
Jan 22 | 2.90M | 3.48M | 4.26M |
Jan 21 | 2.96M | 3.57M | 4.34M |
Jan 20 | 3.02M | 3.66M | 4.42M |
Jan 19 | 3.09M | 3.75M | 4.51M |
Jan 18 | 3.17M | 3.87M | 4.62M |
Jan 17 | 3.24M | 3.96M | 4.73M |
Jan 16 | 3.32M | 4.05M | 4.87M |
Jan 15 | 3.39M | 4.13M | 5.01M |
Jan 14 | 3.45M | 4.20M | 5.14M |
Jan 13 | 3.51M | 4.27M | 5.27M |
Jan 12 | 3.59M | 4.38M | 5.41M |
Jan 11 | 3.67M | 4.49M | 5.54M |
Jan 10 | 3.76M | 4.59M | 5.69M |
Jan 09 | 3.86M | 4.70M | 5.85M |
Jan 08 | 3.97M | 4.83M | 6.02M |
Jan 07 | 4.09M | 4.95M | 6.18M |
Jan 06 | 4.22M | 5.09M | 6.34M |
Jan 05 | 4.35M | 5.27M | 6.51M |
Jan 04 | 4.49M | 5.45M | 6.67M |
Jan 03 | 4.64M | 5.62M | 6.84M |
Jan 02 | 4.79M | 5.82M | 7.01M |
Jan 01 | 5.00M | 6.02M | 7.19M |
Antarctica’s sea ice extent on August 24, 2023 was 1.42 million square kilometers smaller than the year before. When compared to the median extent for that date from 1980 to 2010, it was 2.07 million square kilometers smaller.
Keep in mind that July and August are the coldest months in Antarctica. Its position on the South Pole gives it a very long winter ranging from the end of February to the end of September, with ice building up before melting temperatures arrive in October.
Antarctica Sea Ice and the Rest of the World
Even though the continent is thousands of kilometers from most of Earth’s land and populace, its ice has an important impact on the rest of the planet.
Antarctica’s large ice sheet is able to reflect a lot of sunlight in sunnier months, reducing the amount absorbed by the ocean. The wider its extent builds up over the winter, the more sunlight and heat it is able to reflect.
It’s also important to consider that this ice comes from a regular pattern of freezing and melting ocean water. The more ice is lost to the oceans compared to what accumulates in a given year, the higher sea levels rise around the world.
-
Mining1 week ago
200 Years of Global Gold Production, by Country
-
Technology3 weeks ago
Visualizing Google’s Search Engine Market Share
-
United States1 week ago
Mapped: How Much Does it Take to be the Top 1% in Each U.S. State?
-
Money3 weeks ago
Visualized: How Long Does it Take to Double Your Money?
-
Markets1 week ago
Charted: What are Retail Investors Interested in Buying in 2023?
-
Maps3 weeks ago
The Incredible Historical Map That Changed Cartography
-
Markets6 days ago
The $109 Trillion Global Stock Market in One Chart
-
China4 weeks ago
Charted: Six Red Flags Pointing to China’s Economy Slowing Down