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Market Data

Follow the Money: What 2025 Hail Payouts Say About Where to Aim Your Roofing Crews

Quick answer

Use payout geography to choose which markets to build a presence in, and use verified storm data to choose which streets to work next. State Farm’s newsroom reports it paid more than $5.6 billion in hail claims in 2025, up about 12% from 2024, with about $1.4 billion of that in Texas.

Texas appears on NOAA’s map as well: the Storm Events Database has Texas and Kansas leading the event counts among 5,432 US hail events reported for 2025, a tally that edged up from 5,373 the year before. Even so, one carrier’s payouts are a sample of the market, and money already paid describes a season that is over.

Two Maps, Two Different Questions

NOAA’s Storm Events Database is a map of where hail was reported. State Farm’s newsroom figures are a map of where one large insurer sent money. They overlap in places, and Texas is the clearest case: NOAA has Texas and Kansas leading event counts, and State Farm says it paid more than $5.6 billion in hail claims in 2025, with about $1.4 billion in Texas. The two maps still answer different questions, and a targeting plan needs to know which one it is asking.

The event map asks where hail fell often. The payout map asks where hail hit enough insured roofs to generate large claims. A thinly built county can post many events and little payout, while a dense suburb can post a few events and a great deal of it. For deciding where to open a market, hire a rep, or base a crew, the payout map is the closer fit, with the caveat that it is one carrier’s record and not the industry’s.

What the 12% Increase Does and Does Not Mean

State Farm’s 2025 hail payouts ran about 12% above 2024, according to the company’s newsroom. Read that as a statement about one insurer’s book in one year. Payouts depend on where the insurer has policies, how storms tracked across those policies, and how many claims were settled in the period. A rise is consistent with more damaging hail, with more roofs under it, or with higher repair costs per claim, and the headline figure cannot separate those causes.

Use the number for what it supports: confirmation that hail remains a large pool of money, and a reminder that the pool is concentrated. When one state accounts for about $1.4 billion of a total above $5.6 billion, the geography of opportunity is lumpy, and spreading effort evenly across every state would starve the places where the money concentrates.

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Drill Down Inside a High-Payout State

A state total is where the work starts. Inside Texas, as anywhere, the money sits where recent hail, older roofs, and dense housing line up, and that happens in some metros and not in others. Pull verified swath data for the last few seasons, overlay roof age, and rank sub-markets by how often those factors overlap. A market that repeats is easier to staff and sell in than one that spikes once.

The Hail Alley market map shows where storm-restoration demand concentrates, and the hail and storm damage statistics page collects the sourced figures behind this post. Use them to build a shortlist, then verify with swath data before you commit a crew to any one of the places on it. Treat the shortlist as a hypothesis with a review date, and drop any market that the swath data stops supporting.

The Competition Follows the Same Map

Everyone reading the same public numbers reaches the same states, so payout geography also marks where competing contractors cluster. In a crowded market a good map stops being an advantage. Speed becomes the advantage, along with a local reputation built before the storm, a reachable calendar for homeowners who call in, and an estimating process that does not need a month to ramp.

That changes what to optimize. In a high-payout state the question is less where the hail fell than how quickly a homeowner with damage can reach a qualified estimator. In a mid-payout state with less competition, steadier retail demand and a lower cost of getting noticed may beat chasing the biggest total. Neither answer is universal, and both depend on your own cost per booked appointment.

Turn the Map Into a Booking Plan

A payout map can justify a market, but it books nothing. The conversion step is a service area drawn by the counties and drive times your crews can actually cover, a written set of qualification criteria, and a steady flow of appointments on your estimators’ calendars before and after each storm. Past payout totals are history, so they should shape where you stand ready and not what you expect next.

A market choice turns into revenue only through booked appointments, and VA Horizon’s roofing appointment setting handles that step for a service area you define, with exclusive, double-confirmed appointments booked to your criteria. You pay per booked appointment, and the rule on misses is no-shows replaced, never billed.

Sources

The external data in this article draws on the sources below. Figures described in the text as estimates or industry triangulations are directional and are not attributed to a single dataset.

FAQ

How much did State Farm pay in hail claims in 2025?
State Farm’s newsroom reports more than $5.6 billion in hail claims paid in 2025, about 12% above 2024, with about $1.4 billion of it in Texas. It is one insurer’s figure, not an industry total.
Where does Texas stand in the hail data?
Texas leads NOAA’s hail event counts alongside Kansas, and State Farm reports about $1.4 billion in Texas hail claims paid in 2025, within a national total above $5.6 billion. Rankings can differ by measure and by insurer.
Should a roofing company enter a market just because insurers paid a lot of hail claims there?
Payouts show where the money has been, not where hail will fall next, and heavy-payout markets also draw heavy competition. Use payout geography to shortlist markets, then check recent verified swaths, roof age, and your own cost per booked appointment.
Why do hail event counts and payout dollars disagree?
An event counts reported hail at a place and time. Payouts depend on how many insured roofs were damaged and what the claims cost. A thinly built area can log many events and few claims, while a dense suburb can do the reverse.

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