2026 Cotality Severe Convective Storm Risk Report
Imagine two hypothetical Oklahoma homeowners: Mark and Sarah.
Mark and Sarah have maintained their property and paid their insurance premiums for the decade since they bought their home. They thought they were prepared to weather any storm, but when a severe weather event pelted their roof with 3-inch hail, that sense of security vanished. Because field representatives were spread thin across the storm-impacted area, Mark and Sarah’s recovery stalled.
A three-week delay in claims adjustment followed—but the weather didn’t wait. During that time, it rained three times, causing a roof leak that evolved into a total-loss mold infestation. What should have been a $20,000 roof repair spiraled into a $120,000 full-gut renovation, displacing their family for six months and exhausting their coverage.
To make matters worse, when it came time to renew their policy, Mark and Sarah learned that their premiums, along with those of their neighbors, were rising.
This fictional scenario is based on a costly reality many homeowners have experienced. As severe convective storm (SCS) events—such as hail, tornadoes, and straight-line winds—become the primary drivers of annual insured losses, a family’s ability to return home depends on a high-stakes professional relay.
Resilience is no longer just a matter of individual preparation; it is a multi-stage defense where the success of each phase, from accurate risk pricing to physical restoration, is vital.
The recovery ecosystem: A unified defense
The transition of SCS from a secondary concern to a primary threat has placed unprecedented strain on the recovery ecosystem. When a storm hits, the resilience of a community depends not on a single entity, but on a chain of professionals:
- Underwriters: use structure-level data and insights for effective risk selection and pricing to ensure recovery funding is always available.
- Catastrophe (Cat) Risk modelers: identify high-risk concentrations allowing for strategic resource allocation and portfolio balancing.
- Claims reps: verify weather events, impacting how fast a family can start the recovery process.
- Restoration contractors: turn insurance payouts into reality using modern materials and workflows to rebuild.
Cotality’s 2026 Severe Convective Storm Report highlights the changing SCS landscape and why each of these four essential groups must function in harmony to help homes and communities recover as quickly as possible.
Hail damage risk
SCS activity explains some of claim volatility and variance plaguing insurers, but not all. Since hail is one of the most prominent drivers of property insurance claims today, an underwriting solution that relies heavily on historical hazard data or averaged regional estimates leaves portfolios exposed to unaccounted risk factors. These factors, often caused by the structures on the ground, can significantly amplify or reduce claims.
For example, in many areas, the average age of roofs is increasing. An aged roof is more brittle and susceptible to failure during a hail event compared to a newer installation, effectively amplifying the claim. Combining storm simulations with building characteristics, such as roof age, type, or condition, allows us to move past reactive historical snapshots to a forward-looking view of claim behavior.
Cotality estimated the number of and total reconstruction cost value (RCV) of homes at risk to hail damage at the metro and state levels. Texas leads all states in risk due to its size, geographic position relative to SCS activity and housing concentrations.
Number of homes at moderate or greater risk to hail damage by state
Figure 1 data source: Cotality, 2026
Across the country, over 43.5 million properties—approximately 42% of all analyzed properties—fall into moderate or greater hail risk categories. This represents a staggering $17.8 trillion in reconstruction cost value (RCV), which is the estimated cost to rebuild should these homes be declared a total loss.
Top 10 states by number of homes and associated RCV with moderate or greater risk to hail damage
Tabel 1 data source: Cotality, 2026
Texas leads the nation with nearly 8 million properties and $3.1 trillion in exposed RCV. However, Figure 1 reveals a compelling insight: Illinois is a hidden giant, ranking second with $1.5 trillion in exposed RCV. While it lacks the frequent, extreme hail risk found in states like Colorado or Kansas, Illinois holds a larger volume of expensive properties with moderate-to-high risk.
Top 10 metropolitan areas by number of homes and associated RCV with moderate or greater risk to hail damage
Table 2 data source: Cotality, 2026
When we drill down into the metro-level data, this dynamic creates what we call the "Chicago Anomaly." Because the greater Chicago area is so densely packed with high-value real estate, its aggregate RCV actually surpasses Dallas-Fort Worth as the most financially exposed metro area in the country, with $1.0 trillion in RCV at risk.
Despite Chicago taking the top metro spot, the Texas triangle—comprising Dallas-Fort Worth, Houston, Austin, and San Antonio—continues to dominate, combining for over $2.2 trillion in exposed RCV.
Beyond Texas, the data also highlights a heavy Midwest footprint; secondary markets like Minneapolis, St.Louis, Kansas City, and Denver sit dangerously close to major weather collision zones, making them frequent targets for severe spring and summer storms.
Tornado and straight-line wind risk
Tornado and straight-line winds also present significant threats to property. Cotality estimates that over 76 million homes (with a combined RCV of over $27 trillion) face moderate or greater risk from EF0 tornadoes. Additionally, over 64 million homes, representing $23 trillion in RCV, are at moderate or greater risk from winds of 65 mph or higher.
As severe hail becomes a primary driver of catastrophic loss—rivaling the financial impact of a Category 4 hurricane—catastrophe models must serve as a highly precise map and compass for risk modelers.
From a reinsurance perspective, capturing the true volatility of these massive $30 billion tail events is critical. It ensures that treaty negotiations, retention limits, and capital reserves are precisely calibrated so that the entire risk-transfer ecosystem remains solvent.
The hail-driven tail event
Could a single hailstorm rival the financial impact of a Category 4 hurricane? In 2026, the answer is a definitive yes.
Comparing the US hail and all-perils occurrence exceedance probability (OEP) losses for various return periods
Figure 2 data source: Cotality, 2026
Figure 2 illustrates a paradigm shift in extreme weather risk: a single hailstorm can now generate catastrophic financial losses similar to a major hurricane.
Historically, SCS were labeled "secondary perils"—high-frequency but low-severity events. However, the data shows this is no longer the case.
At the 500-year return period (representing the rarest, most extreme events), the modeled "all perils" loss reaches $71 billion. Strikingly, a single extreme hailstorm alone accounts for $58 billion of that total. This trend remains consistent even at more frequent 50-year intervals, where a single hail event can still generate nearly $30 billion in insured losses.
Case study: The June 2023 Texas storm cluster
Consider the massive June 2023 Texas storm cluster.
From June 11 to June 15, hail greater than 1 inch affected more than 680,000 residential homes. Cotality estimated these storms caused between $7 to $10 billion in insured losses, 95% of which were due to hail.
Comparing the storm footprint of the June 2023 Texas storm cluster with an alternate hypothetical scenario 15 to 20 miles north

Figure 3 data source: Cotality 2026
But what happens if that exact same storm footprint—identical intensity and duration—shifts just 15 to 20 miles north into the heart of the Fort Worth metropolitan area?
The insured loss escalates from approximately $11 billion to $30 billion; a mere 20-mile shift results in a roughly $19 billion difference in potential claims.
When major hailstones intersect with a densely populated urban core, the result is a $30 billion catastrophe on par with a major landfalling hurricane.
A single severe convective storm can damage thousands of homes in a single afternoon. A claims team's ability to verify these events and activate resources determines how quickly homeowners can return to their lives.
Proactive response requires granular data that identifies exactly where damaging hail fell, allowing adjusters to anticipate resource needs before the initial First Notice of Loss (FNOL) is even filed.
Over the course of 2025, Cotality Weather Verify™ estimated that damaging hail (2-inches or greater) impacted more than 600,000 single- and multifamily homes in the contiguous U.S. The combined RCV of these properties reached $177 billion.
Damaging hail fell on Texas more than all other states over the last year, with more than 235,000 homes impacted. The highest-volume states included:
- Texas: 235,000+ homes
- Wyoming: 41,000+ homes
- Oklahoma, Wisconsin, and Kansas: 38,000+ homes each
Combined, these five states accounted for approximately 66% of all U.S. homes impacted by damaging hail in 2025.
Top 10 states by number of homes impacted by 2-inch hail or greater in 2025
Table 3 data source: Cotality, 2026
Two-inch hail—roughly the size of a hen's egg—possesses the mass and terminal velocity to cause significant property damage. Beyond shattering windows, skylights, and siding, these impacts can compromise the structural integrity of roofing systems.
Large hail can also impact electrical infrastructure, triggering power outages that complicate emergency responses and delay initial recovery efforts.
The annual number of days with 2-inch hail or greater
Figure 4 data source: Cotality, 2026
Cotality Weather Verify™ captured 142 days of damaging hail across the U.S. last year. This represents an increase of seven days relative to 2024, and surpasses the 20-year average of 122 days.
