1926HURRICANE.COM
1. What is $105 million in today's money?
This is an inflation question. It changes the purchasing-power scale but does not account for the extraordinary growth of population, housing, property values and infrastructure in South Florida.
Damage methodology
There is no single honest number unless the method and reference year are stated. Inflation-only conversion, exposure normalization and catastrophe-model loss estimates answer different questions.
Three different questions are often confused.
2. What if the historical storm struck today's developed coast?
This is an exposure-normalization question. Peer-reviewed studies scale the historical loss using inflation, real wealth and changes in population or housing units in the affected counties. This is the comparison used on this site.
3. What would an insurer or catastrophe model lose from a simulated repeat?
This is a catastrophe-model question. It can incorporate modern building stock, vulnerability curves, insurance terms, surge/flood modules and detailed geospatial exposure. Those results are not interchangeable with historical normalization.
2026 study, normalized to 2023 exposure
$243 billionHousing-unit method (MMH23)
$288 billionPopulation method (MMP23)
Mooney, Muller and colleagues published the newest expanded normalization in June 2026. Their Great Miami Hurricane estimate is about $243 billion using the housing-unit method and about $288 billion using the population method, both expressed in 2023 dollars and 2023 exposure. These are aggregated storm losses across the U.S. landfalls, not a Miami-city-only bill.
For the southeast Florida first landfall alone, the updated housing-based method yields about $218 billion. The study weights the share of each county covered by twice the radius of maximum wind: Miami-Dade 98.5%, Broward 44.9%, Monroe 18.2% and Collier 0.6%.
How the normalization works
The 2026 study uses two parallel formulations. In simplified form:
Population method: historical damage × inflation adjustment × real wealth-per-capita adjustment × affected-county population adjustment.
Housing method: historical damage × inflation adjustment × real wealth-per-housing-unit adjustment × affected-county housing-unit adjustment.
The geographic adjustment uses a 2×RMW footprint and weights each affected county by the percentage of its area inside that footprint rather than counting every county equally.
Why published numbers change
| Study / reference year | Great Miami result | What changed |
|---|---|---|
| Pielke et al. 2008 | about $140-$157B | Earlier population/housing normalization to 2005 conditions |
| Weinkle et al. 2018 | about $229B in the submitted ranking; 1926 was the highest-loss normalized year | Updated wealth/exposure data and 2017-era normalization |
| Muller et al. 2025 / 2022 reference | about $178B | RMW-based county selection with 2022 conditions |
| Mooney et al. 2026 / 2023 reference | $243B housing; $288B population | 2×RMW county-area weighting plus expanded 2023 data |
The sequence is not evidence that the hurricane itself is being re-rated every few years. The reference year, geography and normalization method changed.
What these estimates do not capture perfectly
The 2026 authors explicitly note that their framework does not yet adjust for changes in structural vulnerability such as modern building codes. It also assumes proportional scaling between exposure and losses, uses county-level residential exposure as a proxy for broader economic exposure, and can underrepresent damage outside a 2×RMW wind footprint. Those limitations are especially important for a storm with major surge, urban concentration and inland wind impacts.
For that reason, 1926Hurricane.com presents a defensible range of published normalized estimates with the method attached, not a fabricated single “2026-dollar” total.
Archive policy for modern-loss numbers
Every modern-loss figure shown on this site should carry four labels: reference year, normalization method, geography and source. An inflation-only number must never be described as an exposure-adjusted loss. A modeled insured loss must never be described as the historical storm's total economic damage.
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