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Newark, CA – October 7, 2022RMS®, a Moody’s Analytics company and world-leading risk modeling and solutions company, estimates total private market insured losses from Hurricane Ian to be between US$53 billion and US$74 billion, with the best estimate of US$67 billion. RMS also estimates the National Flood Insurance Program (NFIP) could see an additional US$10 billion in losses from storm surge and inland flooding as a result of the event.

  Wind incl. coverage leakage Storm Surge excl. NFIP Inland Flood excl. NFIP Total* Best Estimate
Private Market Insured Loss $46 – $67 bn $6+ bn $1+ bn $53 – $74 bn $67 bn

*Losses rounded to nearest billion 

The overall industry loss estimate for Ian includes wind and storm surge losses in Florida, South Carolina, North Carolina, Georgia, and Virginia, based on an analysis of ensemble footprints in Version 21 of the RMS North Atlantic Hurricane Models. RMS ensemble footprints are reconstructions of Ian’s hazard that capture the uncertainties surrounding observed winds and storm surge. The industry estimate also includes impacts from precipitation-induced inland flooding in the same regions, using footprints in the RMS U.S. Inland Flood HD Model.

“Ian was a historic and complex event that will reshape the Florida insurance market for years to come. Given the complexity of the event and the multiple drivers of the loss, our ability to deploy multiple RMS field reconnaissance teams to conduct damage assessments throughout Florida, including the heavily affected areas of Fort Myers and Cape Coral along the southwest coast, has been a critical component of our analysis. Their assessments have proved invaluable in helping our modeling teams to reconstruct and validate the extent and severity of Ian’s wind and water impacts, and our assessment of the magnitude of the various drivers of the total industry loss,” said Mohsen Rahnama, Chief Risk Modeling Officer, RMS.

The RMS estimate reflects losses from property damage, contents, and business interruption, across residential, commercial, industrial, automobile, infrastructure, watercraft, and other specialty lines. Given the complexity of this event and the multiple loss drivers, our ability to couple our detailed review of satellite and digital imagery together with the deployment of multiple RMS field reconnaissance teams have proved to be pivotal in establishing losses across the various business lines. The estimate also considers the impacts of post-event loss amplification (PLA), inflation, and non-modeled sources such as the Assignment of Benefits and litigation.

Much of the building stock affected by Ian was also impacted to varying degrees by Hurricane Irma in 2017 and Hurricane Charley in 2004. In some cases, roofs or structures were replaced after Irma and performed well in Ian. However, where buildings were not upgraded to recent codes, Ian’s destructive wind and storm surge will cause widespread roof replacements or total losses. In the loss estimation process, we also considered key aspects of the Florida Building Code, including mandatory limit extensions for ordinance and law, and the application of the 25 percent roof replacement rule. Aside from property damage, we expect significant losses to automobile and watercraft lines in this event due to fewer evacuations in the worst-affected region,” said Jeff Waters, Staff Product Manager, Product Management, RMS.

“A sizable portion of the losses from Ian will be associated with post-event loss amplification and inflationary trends. A combination of high claims volume, additional living expenses related to the massive evacuation efforts, prolonged reconstruction in the worst-affected areas, and the prevalent higher-than-average construction costs will contribute to a significant economic demand surge. Additionally, we expect the Assignment of Benefits and litigation – despite recent legislative efforts to curb their misuse, to influence the overall loss severity, especially in cases where coverage leakage of water losses onto wind-only policies is likely. All these social inflation factors will lead to complex and lengthy claims settlement processes in this event, amplifying loss adjustment expenses and corresponding claim costs,” said Rajkiran Vojjala, Vice President, Model Development, RMS.

Losses to the National Flood Insurance Program of approximately US$10 billion are based on using the RMS view of NFIP policy-in-force data published by FEMA, the Version 21 RMS North Atlantic Hurricane Models, and the RMS U.S. Inland Flood HD Model. While NFIP policy take-up is substantial in many coastal areas affected by Ian (up to 50 percent), areas hard-hit by inland flooding in the event typically have minimal (less than 10 percent) NFIP participation.

RMS expects the majority of total insured losses from Ian to be driven by wind. However, a sizable portion (up to 25 percent) of the total insured losses (incl. NFIP) will be driven by surge and flood. While insured wind losses and losses to the NFIP will be driven by residential lines, surge and inland flood losses to the private market will be dominated by commercial, industrial, and automobile lines.

In addition to the U.S., Hurricane Ian also impacted parts of the Caribbean, notably Cuba, with strong winds, heavy rain, and flooding. While Cuba saw severe economic and infrastructure damage in the event across many areas, RMS estimates insured losses in Cuba will be minimal due to low insurance penetration in the region.

After Ian passed Cuba, it made landfall near Cayo Costa, Florida on Wednesday, September 28, as a strong Category 4 hurricane on the Saffir-Simpson Hurricane Wind Scale. At landfall, Ian produced sustained winds of 150 miles per hour (240 km/h), according to the National Hurricane Center. After traversing slowly over central Florida, it emerged over the Atlantic before making a second landfall near Georgetown, South Carolina on Friday, September 30, as a Category 1 hurricane. Ian brought destructive hurricane-force winds to a broad swath of southwest and central Florida, catastrophic storm surge along the southwest Florida coastline, and widespread inland flooding throughout Florida and the Carolinas.

Hurricane Ian was the ninth named storm of the 2022 North Atlantic hurricane season, the fourth hurricane, and the first named storm to make landfall in the U.S. this season. Ian was the first major category hurricane to make landfall in Florida since Hurricane Michael in 2018, and the seventh U.S. major hurricane landfall since 2017 (Harvey, Irma, Michael, Laura, Zeta, Ida). Less than two months remain in the 2022 North Atlantic hurricane season, officially ending on November 30.

 

END

The technology and data used in providing this information is based on the scientific data, mathematical and empirical models, and encoded experience of scientists and specialists. As with any model of physical systems, particularly those with low frequencies of occurrence and potentially high severity outcomes, the actual losses from catastrophic events may differ from the results of simulation analyses.

RMS SPECIFICALLY DISCLAIMS ANY AND ALL RESPONSIBILITIES, OBLIGATIONS AND LIABILITY WITH RESPECT TO ANY DECISIONS OR ADVICE MADE OR GIVEN AS A RESULT OF THIS INFORMATION OR USE THEREOF, INCLUDING ALL WARRANTIES, WHETHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO, WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. IN NO EVENT SHALL RMS (OR ITS PARENT, SUBSIDIARY, OR OTHER AFFILIATED COMPANIES) BE LIABLE FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES WITH RESPECT TO ANY DECISIONS OR ADVICE MADE OR GIVEN AS A RESULT OF THE CONTENTS OF THIS INFORMATION OR USE THEREOF.

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Moody’s RMS Estimates Total Economic and Insured Losses from the Turkey Earthquakes Likely to Exceed US$25 Billion and US$5 Billion Respectively

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Moody’s RMS shapes the world’s view of risk for insurers, reinsurers, financial services organizations, and the public sector, with Moody’s RMS models underlying the nearly $2 trillion USD Property & Casualty industry. Moody’s RMS empowers organizations to evaluate and manage global risk from natural and man-made catastrophes, including hurricanes, earthquakes, floods, climate change, cyber, and pandemics.

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In 2021, Moody’s Corporation acquired Risk Management Solutions, Inc. and as part of Moody’s Analytics, Moody’s RMS serves the P&C insurance industry as the leading provider of expertise, science, and technology in integrated risk. A trusted solutions partner, Moody’s RMS enables effective risk management for better business decision-making across risk identification and selection, mitigation, underwriting, and portfolio management.

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RMS is a subsidiary of Moody’s Corporation (NYSE: MCO) and operates as part of the Moody’s Analytics business segment. Moody’s Analytics is operationally and legally separate from the Moody’s Investors Service credit rating agency.

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