By state, Texas saw the highest amount of weather-related damages, at $58.3 billion. Of this, an estimated $44.2 billion was insured, leaving $14.1 billion uninsured. Flash flooding, which caused $44.8 billion in damages in the state, was the leading cause of property damage.
This comes as the state has experienced 311 days of flash flooding across the past five years — of these, 151 led to property damages. This most notably includes flooding caused by Tropical Storm Beta, which made landfall over the coast of central Texas in September 2020. With some areas in Texas receiving up to 16 inches of rainfall, Beta brought new daily rainfall records to its largest city, Houston. In fact, NOAA reported that Beta brought the Houston metro area’s highest single-day rainfall since Hurricane Harvey in 2017.
Overall, Texas experienced the following billion-dollar disaster events between 2017 and 2021:
- 31 severe storms
- 6 tropical cyclones
- 3 flooding events
- 2 droughts
- 1 winter storm
After Texas, Louisiana ranked second for total property damages, at $27.6 billion — but we’ll get to that state later. Meanwhile, Florida ranked third: The state saw $8.5 billion in weather-related damages, an estimated $6.4 billion of which would have been insured.
Hurricanes caused $4.8 billion in property damages in Florida, making it the leading cause of weather-related damages in the state. Of the state’s recent weather-related disasters, two back-to-back hurricanes in 2021 were particularly destructive — Hurricanes Ida and Nicholas, which struck in August and September of that year, led to $77.6 billion in total damages (beyond just property damages) across Florida, Texas and Louisiana.
Overall, Florida experienced the following billion-dollar disasters over the five years analyzed:
- 10 tropical cyclones
- 8 severe storms
- 1 freeze event
Crucially, Texas, Louisiana and Florida are among the most likely states to experience hurricanes. While the majority of states along the eastern U.S. coastline are in the most prevalent hurricane tracks, all three of the top states are at the highest level of risk — particularly in September.
In addition, NOAA finds that the severity of tropical cyclones — classified as hurricanes when maximum sustained winds reach 74 mph or higher — is increasing. While the severity of tropical cyclones is projected to increase by 1% to 10%, tropical cyclone rainfall rates are projected to increase by 10% to 15% — which means that flash flood events are likely on the rise, too.
Full rankings: Amount of weather-related damages in each state (2017 to 2021)
| Texas | $58.3 billion | $44.2 billion | Flash flood | $44.8 billion | $33.9 billion |
| Louisiana | $27.6 billion | $21.0 billion | Hurricane | $22.0 billion | $16.7 billion |
| Florida | $8.5 billion | $6.4 billion | Hurricane | $4.8 billion | $3.6 billion |
| Oregon | $3.8 billion | $2.9 billion | High wind | $3.2 billion | $2.4 billion |
| Colorado | $3.1 billion | $2.4 billion | Hail | $2.9 billion | $2.2 billion |
| North Carolina | $2.5 billion | $1.9 billion | Hurricane | $1.5 billion | $1.1 billion |
| Georgia | $2.1 billion | $1.6 billion | Hurricane | $1.5 billion | $1.1 billion |
| Tennessee | $2.0 billion | $1.5 billion | Tornado | $1.7 billion | $1.3 billion |
| California | $1.8 billion | $1.4 billion | Debris flow | $650.7 million | $493.2 million |
| Michigan | $1.6 billion | $1.2 billion | Flash flood | $652.2 million | $494.4 million |
| Washington | $1.5 billion | $1.1 billion | High wind | $1.1 billion | $806.8 million |
| Ohio | $817.0 million | $619.3 million | Tornado | $616.8 million | $467.5 million |
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{“backgroundColor”:”white”,”content”:”\u003C\/p\u003E\n\n\u003Cp\u003EBy state, Texas saw the highest amount of weather-related damages, at $58.3 billion. Of this, an estimated $44.2 billion was insured, leaving $14.1 billion uninsured. Flash flooding, which caused $44.8 billion in damages in the state, was the leading cause of property damage.\u003C\/p\u003E\n\n\u003Cp\u003EThis comes as the state has experienced 311 days of flash flooding across the past five years \u2014 of these, 151 led to property damages. This most notably includes flooding caused by Tropical Storm Beta, which made landfall over the coast of central Texas in September 2020. With some areas in Texas receiving up to 16 inches of rainfall, Beta brought new daily rainfall records to its largest city, Houston. In fact, NOAA reported that Beta brought the Houston metro area\u2019s highest single-day rainfall since Hurricane Harvey in 2017.\u003C\/p\u003E\n\n\u003Cp\u003EOverall, Texas experienced the following billion-dollar disaster events between 2017 and 2021:\u003C\/p\u003E\n\n\u003Cp\u003E\u003Cdiv class=\”ShortcodeList–root \”\u003E\n\n \u003Cdiv class=\”ShortcodeList–content ShortcodeList–content-margin\”\u003E\n \u003Cdiv class=\”ShortcodeList–column\”\u003E\n \u003Cul class=\”ListUnordered–root ListUnordered–bullet\”\u003E\n \u003Cli class=\”ListUnordered–list-item\”\u003E\n 31 severe storms\n \u003C\/li\u003E\n \u003Cli class=\”ListUnordered–list-item\”\u003E\n 6 tropical cyclones\n \u003C\/li\u003E\n \u003Cli class=\”ListUnordered–list-item\”\u003E\n 3 flooding events\n \u003C\/li\u003E\n \u003Cli class=\”ListUnordered–list-item\”\u003E\n 2 droughts\n \u003C\/li\u003E\n \u003Cli class=\”ListUnordered–list-item\”\u003E\n 1 winter storm\n \u003C\/li\u003E\n \u003C\/ul\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n\u003C\/div\u003E\n\n\u003C\/p\u003E\n\n\u003Cp\u003EAfter Texas, Louisiana ranked second for total property damages, at $27.6 billion \u2014 but we\u2019ll get to that state later. Meanwhile, Florida ranked third: The state saw $8.5 billion in weather-related damages, an estimated $6.4 billion of which would have been insured.\u003C\/p\u003E\n\n\u003Cp\u003EHurricanes caused $4.8 billion in property damages in Florida, making it the leading cause of weather-related damages in the state. Of the state\u2019s recent weather-related disasters, two back-to-back hurricanes in 2021 were particularly destructive \u2014 Hurricanes Ida and Nicholas, which struck in August and September of that year, led to $77.6 billion in total damages (beyond just property damages) across Florida, Texas and Louisiana.\u003C\/p\u003E\n\n\u003Cp\u003EOverall, Florida experienced the following billion-dollar disasters over the five years analyzed:\u003C\/p\u003E\n\n\u003Cp\u003E\u003Cdiv class=\”ShortcodeList–root \”\u003E\n\n \u003Cdiv class=\”ShortcodeList–content ShortcodeList–content-margin\”\u003E\n \u003Cdiv class=\”ShortcodeList–column\”\u003E\n \u003Cul class=\”ListUnordered–root ListUnordered–bullet\”\u003E\n \u003Cli class=\”ListUnordered–list-item\”\u003E\n 10 tropical cyclones\n \u003C\/li\u003E\n \u003Cli class=\”ListUnordered–list-item\”\u003E\n 8 severe storms\n \u003C\/li\u003E\n \u003Cli class=\”ListUnordered–list-item\”\u003E\n 1 freeze event\n \u003C\/li\u003E\n \u003C\/ul\u003E\n \u003C\/div\u003E\n \u003C\/div\u003E\n\u003C\/div\u003E\n\n\u003C\/p\u003E\n\n\u003Cp\u003ECrucially, Texas, Louisiana and Florida are among the most likely states to experience hurricanes. While the majority of states along the eastern U.S. coastline are in the most prevalent hurricane tracks, all three of the top states are at the highest level of risk \u2014 particularly in September.\u003C\/p\u003E\n\n\u003Cp\u003EIn addition, NOAA finds that the severity of tropical cyclones \u2014 classified as hurricanes when maximum sustained winds reach 74 mph or higher \u2014 is increasing. While the severity of tropical cyclones is projected to increase by 1% to 10%, tropical cyclone rainfall rates are projected to increase by 10% to 15% \u2014 which means that flash flood events are likely on the rise, too.\u003C\/p\u003E\n\n\u003Ch3\u003EFull rankings: Amount of weather-related damages in each state (2017 to 2021)\u003C\/h3\u003E\n\n\u003Cp\u003E\u003Cdiv class=\”ReactComponent–root\”\u003E\n \u003Cdiv class=\”js-react-component-rendered js-react-component-SortableTable\” data-component-name=\”SortableTable\”\u003E\n \u003Cdiv class=\”StyledRootWrapper-sc-3qeib4 jYHfZo\”\u003E\u003Cdiv class=\”StyledTableWrapper-sc-5nmmx9 fesmOM\”\u003E\u003Cdiv class=\”StyledTableOverflowWrapper-sc-hixhp9 gVbnK\”\u003E\u003Ctable class=\”StyledTable-sc-ujzn9t jVpJxq\”\u003E\u003Cthead class=\”StyledHeaderRow-sc-1m1b8dn hCELBb\”\u003E\u003Ctr\u003E\u003Cth colSpan=\”1\” width=\”16.66%\” class=\”StyledHeaderCell-sc-nsptsd kWxpLN\”\u003E\u003Cdiv class=\”StyledColumnHeaderWrapper-sc-12xyb2r gPTwhA\”\u003E\u003Cspan\u003EState\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\”1\” width=\”16.66%\” class=\”StyledHeaderCell-sc-nsptsd kWxpLN\”\u003E\u003Cdiv class=\”StyledColumnHeaderWrapper-sc-12xyb2r gPTwhA\”\u003E\u003Cspan\u003ETotal property damage\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\”1\” width=\”16.66%\” class=\”StyledHeaderCell-sc-nsptsd kWxpLN\”\u003E\u003Cdiv class=\”StyledColumnHeaderWrapper-sc-12xyb2r gPTwhA\”\u003E\u003Cspan\u003EOverall insured (estimate)\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\”1\” width=\”16.66%\” class=\”StyledHeaderCell-sc-nsptsd kWxpLN\”\u003E\u003Cdiv class=\”StyledColumnHeaderWrapper-sc-12xyb2r gPTwhA\”\u003E\u003Cspan\u003EWorst category\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\”1\” width=\”16.66%\” class=\”StyledHeaderCell-sc-nsptsd kWxpLN\”\u003E\u003Cdiv class=\”StyledColumnHeaderWrapper-sc-12xyb2r gPTwhA\”\u003E\u003Cspan\u003ETotal property damage for that category\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003Cth colSpan=\”1\” width=\”16.66%\” class=\”StyledHeaderCell-sc-nsptsd kWxpLN\”\u003E\u003Cdiv class=\”StyledColumnHeaderWrapper-sc-12xyb2r gPTwhA\”\u003E\u003Cspan\u003EOverall insured for that category (estimate)\u003C\/span\u003E\u003C\/div\u003E\u003C\/th\u003E\u003C\/tr\u003E\u003C\/thead\u003E\u003Ctbody class=\”StyledBody-sc-14y8oc0 dcdMVT\”\u003E\u003Ctr\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003ETexas\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$58.3 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$44.2 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EFlash flood\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$44.8 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$33.9 billion\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003ELouisiana\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$27.6 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$21.0 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EHurricane\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$22.0 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$16.7 billion\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EFlorida\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$8.5 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$6.4 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EHurricane\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$4.8 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$3.6 billion\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EOregon\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$3.8 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$2.9 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EHigh wind\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$3.2 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$2.4 billion\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EColorado\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$3.1 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$2.4 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EHail\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$2.9 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$2.2 billion\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003ENorth Carolina\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$2.5 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.9 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EHurricane\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.5 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.1 billion\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EGeorgia\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$2.1 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.6 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EHurricane\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.5 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.1 billion\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003ETennessee\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$2.0 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.5 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003ETornado\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.7 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.3 billion\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003ECalifornia\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.8 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.4 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EDebris flow\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$650.7 million\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$493.2 million\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EMichigan\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.6 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.2 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EFlash flood\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$652.2 million\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$494.4 million\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EWashington\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.5 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.1 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EHigh wind\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$1.1 billion\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$806.8 million\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003EOhio\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$817.0 million\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$619.3 million\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003ETornado\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$616.8 million\u003C\/td\u003E\u003Ctd colSpan=\”1\” rowspan=\”1\” width=\”16.66%\” class=\”StyledBodyCell-sc-5cu9ee bEfFUh\”\u003E$467.5 million\u003C\/td\u003E\u003C\/tr\u003E\u003C\/tbody\u003E\u003C\/table\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv role=\”button\” class=\”StyledExpander-sc-1gnrutu gvWduk\”\u003EShow All Rows\u003C\/div\u003E\u003Cp class=\”SortableTable–footnote\”\u003ESource: ValuePenguin analysis of NOAA and Munich Re data\u003C\/p\u003E\u003C\/div\u003E\n \u003C\/div\u003E\n\n \u003Cscript type=\”application\/json\” class=\”js-react-component\” data-component-name=\”SortableTable\”\u003E{\”alignsHorizontal\”:[\”left\”,\”left\”,\”left\”,\”left\”,\”left\”,\”left\”],\”alignsVertical\”:[\”top\”,\”top\”,\”top\”,\”top\”,\”top\”,\”top\”],\”columnWidths\”:[\”16.66%\”,\”16.66%\”,\”16.66%\”,\”16.66%\”,\”16.66%\”,\”16.66%\”],\”data\”:[[\”State\”,\”Total property damage\”,\”Overall insured (estimate)\”,\”Worst category\”,\”Total property damage for that category\”,\”Overall insured for that category (estimate)\”],[\”Texas\”,\”$58.3 billion\”,\”$44.2 billion\”,\”Flash flood\”,\”$44.8 billion\”,\”$33.9 billion\”],[\”Louisiana\”,\”$27.6 billion\”,\”$21.0 billion\”,\”Hurricane\”,\”$22.0 billion\”,\”$16.7 billion\”],[\”Florida\”,\”$8.5 billion\”,\”$6.4 billion\”,\”Hurricane\”,\”$4.8 billion\”,\”$3.6 billion\”],[\”Oregon\”,\”$3.8 billion\”,\”$2.9 billion\”,\”High wind\”,\”$3.2 billion\”,\”$2.4 billion\”],[\”Colorado\”,\”$3.1 billion\”,\”$2.4 billion\”,\”Hail\”,\”$2.9 billion\”,\”$2.2 billion\”],[\”North Carolina\”,\”$2.5 billion\”,\”$1.9 billion\”,\”Hurricane\”,\”$1.5 billion\”,\”$1.1 billion\”],[\”Georgia\”,\”$2.1 billion\”,\”$1.6 billion\”,\”Hurricane\”,\”$1.5 billion\”,\”$1.1 billion\”],[\”Tennessee\”,\”$2.0 billion\”,\”$1.5 billion\”,\”Tornado\”,\”$1.7 billion\”,\”$1.3 billion\”],[\”California\”,\”$1.8 billion\”,\”$1.4 billion\”,\”Debris flow\”,\”$650.7 million\”,\”$493.2 million\”],[\”Michigan\”,\”$1.6 billion\”,\”$1.2 billion\”,\”Flash flood\”,\”$652.2 million\”,\”$494.4 million\”],[\”Washington\”,\”$1.5 billion\”,\”$1.1 billion\”,\”High wind\”,\”$1.1 billion\”,\”$806.8 million\”],[\”Ohio\”,\”$817.0 million\”,\”$619.3 million\”,\”Tornado\”,\”$616.8 million\”,\”$467.5 million\”],[\”Nebraska\”,\”$748.7 million\”,\”$567.5 million\”,\”Flood\”,\”$547.1 million\”,\”$414.7 million\”],[\”New York\”,\”$745.9 million\”,\”$565.4 million\”,\”Flash flood\”,\”$563.9 million\”,\”$427.5 million\”],[\”Pennsylvania\”,\”$515.6 million\”,\”$390.8 million\”,\”Flash flood\”,\”$388.2 million\”,\”$294.3 million\”],[\”Kentucky\”,\”$512.8 million\”,\”$388.7 million\”,\”Flood\”,\”$429.3 million\”,\”$325.4 million\”],[\”Iowa\”,\”$470.5 million\”,\”$356.7 million\”,\”Tornado\”,\”$346.4 million\”,\”$262.6 million\”],[\”Mississippi\”,\”$440.6 million\”,\”$334.0 million\”,\”Tornado\”,\”$183.2 million\”,\”$138.8 million\”],[\”Arkansas\”,\”$427.8 million\”,\”$324.3 million\”,\”Tornado\”,\”$358.3 million\”,\”$271.6 million\”],[\”Missouri\”,\”$426.6 million\”,\”$323.4 million\”,\”Tornado\”,\”$231.1 million\”,\”$175.1 million\”],[\”Wisconsin\”,\”$375.8 million\”,\”$284.9 million\”,\”Flash flood\”,\”$129.9 million\”,\”$98.4 million\”],[\”Alabama\”,\”$363.4 million\”,\”$275.4 million\”,\”Hurricane\”,\”$313.4 million\”,\”$237.5 million\”],[\”Illinois\”,\”$337.4 million\”,\”$255.7 million\”,\”Tornado\”,\”$148.0 million\”,\”$112.1 million\”],[\”New Jersey\”,\”$234.0 million\”,\”$177.4 million\”,\”Flash flood\”,\”$223.2 million\”,\”$169.2 million\”],[\”Idaho\”,\”$223.4 million\”,\”$169.3 million\”,\”Heavy snow\”,\”$100.7 million\”,\”$76.3 million\”],[\”Oklahoma\”,\”$172.5 million\”,\”$130.7 million\”,\”Tornado\”,\”$95.6 million\”,\”$72.4 million\”],[\”Virginia\”,\”$171.3 million\”,\”$129.8 million\”,\”Flash flood\”,\”$65.6 million\”,\”$49.7 million\”],[\”South Carolina\”,\”$141.1 million\”,\”$106.9 million\”,\”Tornado\”,\”$122.0 million\”,\”$92.5 million\”],[\”South Dakota\”,\”$138.0 million\”,\”$104.6 million\”,\”Flood\”,\”$92.7 million\”,\”$70.3 million\”],[\”Arizona\”,\”$130.3 million\”,\”$98.8 million\”,\”Flash flood\”,\”$96.2 million\”,\”$72.9 million\”],[\”Minnesota\”,\”$120.4 million\”,\”$91.2 million\”,\”Tornado\”,\”$27.1 million\”,\”$20.5 million\”],[\”Hawaii\”,\”$110.6 million\”,\”$83.8 million\”,\”Flash flood\”,\”$106.1 million\”,\”$80.4 million\”],[\”Indiana\”,\”$101.1 million\”,\”$76.6 million\”,\”Flash flood\”,\”$52.9 million\”,\”$40.1 million\”],[\”Maryland\”,\”$97.1 million\”,\”$73.6 million\”,\”Flash flood\”,\”$73.2 million\”,\”$55.5 million\”],[\”Kansas\”,\”$88.6 million\”,\”$67.1 million\”,\”Tornado\”,\”$43.5 million\”,\”33.0 million\”],[\”Connecticut\”,\”$74.3 million\”,\”$56.3 million\”,\”Tropical storm\”,\”$54.3 million\”,\”$41.2 million\”],[\”New Mexico\”,\”$68.6 million\”,\”$52.0 million\”,\”Flash flood\”,\”$27.3 million\”,\”$20.7 million\”],[\”Massachusetts\”,\”$66.7 million\”,\”$50.6 million\”,\”Flash flood\”,\”$31.3 million\”,\”$23.7 million\”],[\”Alaska\”,\”$62.7 million\”,\”$47.5 million\”,\”Flood\”,\”$32.9 million\”,\”$24.9 million\”],[\”North Dakota\”,\”$61.5 million\”,\”$46.6 million\”,\”Thunderstorm wind\”,\”$28.0 million\”,\”$21.3 million\”],[\”Utah\”,\”$60.6 million\”,\”$45.9 million\”,\”Flash flood\”,\”$36.9 million\”,\”$28.0 million\”],[\”Nevada\”,\”$39.9 million\”,\”$30.3 million\”,\”Flood\”,\”$16.5 million\”,\”$12.5 million\”],[\”Vermont\”,\”$38.5 million\”,\”$29.2 million\”,\”Flash flood\”,\”$18.6 million\”,\”$14.1 million\”],[\”New Hampshire\”,\”$31.6 million\”,\”$23.9 million\”,\”Flash flood\”,\”$25.2 million\”,\”$19.1 million\”],[\”West Virginia\”,\”$31.5 million\”,\”$23.9 million\”,\”Flash flood\”,\”$14.6 million\”,\”$11.1 million\”],[\”Montana\”,\”$22.3 million\”,\”$16.9 million\”,\”Winter storm\”,\”$10.1 million\”,\”$7.6 million\”],[\”Maine\”,\”$14.2 million\”,\”$10.8 million\”,\”Coastal flood\”,\”$5.2 million\”,\”$4.0 million\”],[\”Wyoming\”,\”$5.5 million\”,\”$4.2 million\”,\”Flood\”,\”$2.4 million\”,\”$1.8 million\”],[\”Rhode Island\”,\”$3.9 million\”,\”$3.0 million\”,\”Tropical storm\”,\”$1.9 million\”,\”$1.4 million\”],[\”Delaware\”,\”$3.6 million\”,\”$2.7 million\”,\”Flash flood\”,\”$3.6 million\”,\”$2.7 million\”],[\”District of Columbia\”,\”$1.8 million\”,\”$1.4 million\”,\”Thunderstorm wind\”,\”$1.0 million\”,\”$761,000\”]],\”footnote\”:\”Source: ValuePenguin analysis of NOAA and Munich Re data\”,\”hideHeaderRow\”:false,\”hasMarginBottom\”:true,\”isExpandable\”:true,\”isSortable\”:false,\”maxWidth\”:\”1215\”,\”minWidth\”:\”100%\”,\”showSearch\”:false,\”sortColumnIndex\”:0,\”sortDirection\”:\”asc\”}\u003C\/script\u003E\n\n\u003C\/div\u003E\u003C\/p\u003E\n\n\u003Cp\u003E”,”padding”:”double”}
