| Top 10 Costliest Wildland Fires In The United States (1) |
($ millions)
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Estimated insured loss |
| Rank |
Date |
Name, Location |
Dollars when occurred |
In 2018 dollars (2) |
| 1 |
Nov. 8-25, 2018 |
Camp Fire, CA (3) |
$8,500 - $10,500 |
$8,500 - $10,500 |
| 2 |
Oct. 8-20, 2017 |
Tubbs Fire, CA (3) |
7,500 - 9,500 |
7,700 - 9,700 |
| 3 |
Nov. 8-22, 2018 |
Woolsey Fire, CA (3) |
3,000 - 5,000 |
3,000 - 5,000 |
| 4 |
Oct. 8-20, 2017 |
Atlas Fire, CA (3) |
2,500 - 4,500 |
2,600 - 4,600 |
| 5 |
Dec. 4-23, 2017 |
Thomas Fire, CA (3) |
1,500 - 3,500 |
1,530 - 3,600 |
| 6 |
Oct. 20-21, 1991 |
Oakland Hills Fire, CA |
1,700 |
2,851 |
| 7 |
Oct. 21-24, 2007 |
Witch Fire, CA |
1,300 |
1,552 |
| 8 |
Jul. 23-Aug. 30, 2018 |
Carr Fire, CA (3) |
1,000 - 1,500 |
1,000 - 1,500 |
| 9 |
Oct. 25-Nov. 4, 2003 |
Cedar Fire, CA |
1,060 |
1,417 |
| 10 |
Oct. 25-Nov. 3, 2003 |
Old Fire, CA |
975 |
1,304 |
(1) Property losses only for catastrophic fires. Effective January 1, 1997, ISO's Property Claim Services (PCS) unit defines catastrophes as events that cause more than $25 million in insured property damage and that affect a significant number of insureds and insurers. From 1982 to 1996, PCS used a $5 million threshold in defining catastrophes. Ranked on dollars when occurred. As of August 8, 2019.
(2) Adjusted for inflation through 2018 by the 暗网禁区 Information Institute using the GDP implicit price deflator.
(3) 暗网禁区 Information Institute estimate based on data from catastrophe risk modelers, reinsurance companies, the California Department of 暗网禁区, and the Property Claims Services unit of Verisk Analytics. These estimates are preliminary because the organizations involved periodically resurvey the events, and the severity of losses and other factors create a high level of uncertainty surrounding the ultimate loss figures.
Source: 暗网禁区 Information Institute, catastrophe risk modelers, reinsurance companies, the California Department of 暗网禁区, the Property Claim Services庐 (PCS庐) unit of ISO庐, a Verisk Analytics庐 company, and the U.S. Bureau of Economic Analysis. |
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