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2026 South Florida Home Emergency Risk Report

An original compilation of public housing, flood, storm and climate data for Broward, Miami-Dade and Palm Beach counties, with every figure traced to its source dataset, every calculation shown, and every comparison tested for statistical significance before it is stated.

Headline finding

Across Broward, Miami-Dade and Palm Beach counties, roughly half of all housing units in Broward (50.0%) and Miami-Dade (49.6%) were built before 1980, compared with 33.5% in Palm Beach County, according to the 2020–2024 American Community Survey. Among the 10 cities analyzed, the share of pre-1980 housing units ranges 51.2 percentage points, from Hollywood at 74.7% to Pembroke Pines at 23.5%.

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Written and reviewed by the UrgentHomePro Editorial Team · Editorial standards

UrgentHomePro is a home-services matching platform, not a contractor, utility, insurer or government agency. This report contains no platform data and no estimated values: every figure below comes from the U.S. Census Bureau, FEMA or NOAA, and every derived number states its formula in the methodology.

Key findings for media and researchers

Every figure below is an estimate from a named public dataset, reproduced with its margin of error where the source publishes one. Comparisons are reported only where they are statistically significant at 90% confidence using the U.S. Census Bureau's published test for comparing estimates. Where a comparison fails that test, it is stated as indistinguishable rather than ranked.

Finding 1. Among the 10 cities analyzed, Hollywood had the highest estimated share of housing units built before 1980 — 74.7% ±2.5 — with an estimated median year built of 1969.

Finding 2. Among the 10 cities analyzed, Miami had the highest estimated share of housing units built before 1960 — 29.8% ±0.9. Its margin over Hollywood (27.8% ±1.6) is small and only marginally significant at 90% confidence.

Finding 3. Among the 10 cities analyzed, the estimated share of housing units built before 1980 spans 51.2 percentage points, from Hollywood at 74.7% to Pembroke Pines at 23.5%. County averages describe neither end of that range.

Finding 4. Palm Beach County's estimated share of housing units built before 1980 is 33.5% ±0.5 — 16.5 percentage points below Broward County (50.0% ±0.7) and 16.1 percentage points below Miami-Dade County (49.6% ±0.6).

Finding 5. Broward County and Miami-Dade County are statistically indistinguishable from one another on the share of housing units built before 1980. The estimated difference is 0.4 percentage points and does not clear the 90% significance test, so the two counties are not ranked against each other here.

Finding 6. Among the 10 cities analyzed, Miami had the lowest estimated owner-occupied share of occupied housing units, 30.8% ±0.8, which is 15.8 percentage points below Hialeah.

Finding 7. Among the 10 cities analyzed, Pembroke Pines (23.5% ±1.6) and Coral Springs (28.2% ±2.1) had the lowest estimated shares of housing units built before 1980.

Finding 8. Among the five Broward cities analyzed, the three coastal ones — Hollywood, Fort Lauderdale and Pompano Beach — each have an estimated pre-1980 share above 65%, while Pembroke Pines and Coral Springs, both inland, are below 30%. This describes those five cities only and is not generalized to eastern or western Broward as a whole.

Finding 9. National Flood Insurance Program claim records show $855.0 million paid across 62,015 claims in Miami-Dade County, $458.1 million across 35,037 claims in Broward County and $72.0 million across 10,754 claims in Palm Beach County, in nominal dollars over the full history represented in the dataset.

Finding 10. In NOAA's Atlantic best-track record from 1851 through the 2025 season, 29 hurricanes passed within 50 nautical miles of the Fort Lauderdale reference point, 28 within 50 nautical miles of Miami and 25 within 50 nautical miles of West Palm Beach. These are track proximities to a single reference point in each county, not county landfall counts.

South Florida overview

South Florida's home-emergency exposure comes from three measurable directions: the age of the housing stock, the record of flood losses, and the record of storms and tidal flooding. This report compiles each from its primary source and calculates a small number of comparisons, each of which is shown with its formula and its limitations.

It does not attempt to combine them into a single score. Combining a survey estimate of housing age, an insurance claims total and a storm track count into one index would require weightings that no source supports, so none is published here.

Housing stock by county. Source: U.S. Census Bureau, 2020–2024 American Community Survey 5-Year Estimates, tables B25034, B25035, B25003, B25024 and B25002. Values are estimates with 90% margins of error.
CountyHousing unitsMedian year built% built before 1980% built before 1960Owner-occupied share of occupied housing units% 1-unit detached% vacant
Broward866,019 ±2501980 ±150.0% ±0.710.9% ±0.363.6% ±0.640.0% ±0.512.9% ±0.3
Miami-Dade1,094,983 ±2601980 ±149.6% ±0.620.8% ±0.452.2% ±0.538.8% ±0.410.9% ±0.2
Palm Beach719,463 ±3521986 ±133.5% ±0.57.5% ±0.370.1% ±0.545.5% ±0.415.8% ±0.4

City-by-city housing comparison

The 10 cities below are the incorporated places covered in depth elsewhere on this site. They are not a ranking of all South Florida municipalities, and no claim is made that they represent the region as a whole.

Boca Raton (43.6% ±2.5) and Delray Beach (42.8% ±2.4) are statistically indistinguishable on the share of housing units built before 1980, so their order in the table below should not be read as a ranking between them.

Housing units by city, ordered by estimated share built before 1980. Source: U.S. Census Bureau, 2020–2024 American Community Survey 5-Year Estimates, tables B25034, B25035, B25003, B25024 and B25002, Florida incorporated places. Values are estimates with 90% margins of error.
CityCountyHousing unitsMedian year builtUnits built before 1980% built before 1980% built before 1960Owner-occupied share of occupied housing units% 1-unit detached% vacant
HollywoodBroward72,843 ±1,2031969 ±154,390 ±2,03274.7% ±2.527.8% ±1.658.9% ±1.343.5% ±1.315.7% ±1.0
Pompano BeachBroward61,070 ±1,0071974 ±140,855 ±1,71766.9% ±2.614.6% ±1.455.5% ±1.929.0% ±1.522.8% ±1.2
Fort LauderdaleBroward101,691 ±1,5261973 ±166,150 ±2,15965.1% ±1.923.7% ±1.254.1% ±1.334.0% ±1.220.3% ±1.0
HialeahMiami-Dade79,130 ±1,2131975 ±147,152 ±1,85959.6% ±2.223.2% ±1.446.6% ±1.538.0% ±1.42.6% ±0.5
MiamiMiami-Dade223,826 ±2,3131979 ±2113,732 ±2,95850.8% ±1.229.8% ±0.930.8% ±0.822.4% ±0.713.0% ±0.6
Boca RatonPalm Beach49,128 ±1,0201983 ±221,413 ±1,32643.6% ±2.55.2% ±0.865.7% ±1.941.7% ±1.415.6% ±1.2
Delray BeachPalm Beach37,427 ±8961983 ±116,036 ±97842.8% ±2.49.0% ±1.163.2% ±2.934.0% ±1.920.0% ±1.5
West Palm BeachPalm Beach62,464 ±1,1421988 ±223,520 ±1,45537.7% ±2.220.6% ±1.750.5% ±2.138.4% ±1.515.9% ±1.2
Coral SpringsBroward47,770 ±1,0931987 ±213,449 ±1,02928.2% ±2.12.0% ±0.760.3% ±2.348.9% ±1.85.4% ±1.0
Pembroke PinesBroward67,235 ±1,2951992 ±215,771 ±1,14423.5% ±1.61.9% ±0.569.6% ±1.946.0% ±1.63.5% ±0.6

Which housing-age differences are statistically defensible?

Direct answer: the large gaps are defensible and the small ones are not. Every comparison stated in this report was tested with the Census Bureau's published formula for comparing two estimates, Z = (E1 − E2) ÷ √(SE1² + SE2²), where SE is the margin of error divided by 1.645. A difference is treated as real only where the absolute value of Z exceeds 1.645, the 90% confidence threshold.

Significance tests for every housing comparison stated in this report. UrgentHomePro calculation from 2020–2024 ACS 5-Year estimates and their published margins of error.
ComparisonDifference (percentage points)ZDefensible at 90% confidence
Hollywood vs Pompano Beach, % pre-19807.83.56Yes
Hollywood vs Fort Lauderdale, % pre-19809.65.03Yes
Hollywood vs Pembroke Pines, % pre-198051.228.38Yes
Miami vs Hollywood, % pre-19602.01.79Yes, marginally
Miami vs Fort Lauderdale, % pre-19606.16.69Yes
Palm Beach vs Broward County, % pre-1980−16.5−31.55Yes
Palm Beach vs Miami-Dade County, % pre-1980−16.1−33.91Yes
Broward vs Miami-Dade County, % pre-19800.40.71No — indistinguishable
Coral Springs vs Pembroke Pines, % pre-19804.72.93Yes
Miami vs Hialeah, owner-occupied share−15.8−15.29Yes
Boca Raton vs Delray Beach, % pre-19800.80.45No — indistinguishable

Broward County analysis

Direct answer: an estimated 50.0% ±0.7 of Broward County's 866,019 housing units were built before 1980, and 10.9% ±0.3 before 1960 — the lowest pre-1960 share of the three counties. Its owner-occupied share of occupied housing units is 63.6% ±0.6.

Broward contains both the oldest and the newest city housing stock in this analysis. Hollywood's estimated pre-1980 share of 74.7% ±2.5 is 51.2 percentage points above Pembroke Pines at 23.5% ±1.6, a difference far larger than either margin of error. Fort Lauderdale (65.1% ±1.9) and Pompano Beach (66.9% ±2.6) sit near the top of the city range; Coral Springs (28.2% ±2.1) near the bottom.

UrgentHomePro analysis: because the county average falls between those extremes, a countywide housing-age figure is a poor description of any individual Broward city analyzed here. Readers comparing municipalities should use the city rows rather than the county row.

Miami-Dade County analysis

Direct answer: an estimated 49.6% ±0.6 of Miami-Dade County's 1,094,983 housing units were built before 1980 and 20.8% ±0.4 before 1960 — roughly twice Broward's pre-1960 share and nearly three times Palm Beach County's.

Within the county, Miami has the highest estimated pre-1960 share of the 10 cities analyzed, 29.8% ±0.9, while Hialeah is at 23.2% ±1.4. Miami also has the lowest estimated owner-occupied share of occupied housing units among the 10 cities, 30.8% ±0.8, and the lowest estimated share of 1-unit detached housing, 22.4% ±0.7. Hialeah has the lowest estimated vacancy share of the 10 cities, 2.6% ±0.5.

Miami-Dade also accounts for the largest National Flood Insurance Program claim total of the three counties in the FEMA dataset, detailed in the flood section below.

Palm Beach County analysis

Direct answer: an estimated 33.5% ±0.5 of Palm Beach County's 719,463 housing units were built before 1980 — 16.5 percentage points below Broward and 16.1 below Miami-Dade — and 7.5% ±0.3 before 1960, the lowest of the three counties. Its estimated median year built is 1986, six years later than both neighbors.

Its cities diverge on pre-1960 housing. West Palm Beach is at 20.6% ±1.7, while Boca Raton is at 5.2% ±0.8 and Delray Beach at 9.0% ±1.1. Palm Beach County also has the highest estimated owner-occupied share of occupied housing units of the three counties, 70.1% ±0.5, and the highest estimated share of 1-unit detached housing, 45.5% ±0.4.

Palm Beach County's National Flood Insurance Program claim total in the FEMA dataset is substantially smaller than either neighbor's, both in claim count and in dollars paid.

Flood and water-damage exposure

Direct answer: National Flood Insurance Program records show $855.0 million paid on 62,015 claims in Miami-Dade County, $458.1 million on 35,037 claims in Broward County and $72.0 million on 10,754 claims in Palm Beach County. These are insured claims represented in FEMA's redacted claims dataset, in nominal dollars, not adjusted for inflation.

Because the dataset spans the full history of the program and dollars are not inflation-adjusted, the totals mix decades of price levels and should be read as a record of insured loss activity rather than a present-day damage estimate. Uninsured losses and losses covered by private flood policies are not in this dataset at all, so the true loss figures are higher by an unknown amount.

National Flood Insurance Program claims by county, full dataset history, nominal dollars. Source: FEMA OpenFEMA dataset FimaNfipClaims, extracted September 17, 2026. UrgentHomePro summed the building and contents payment fields across every claim record for each county.
CountyClaimsBuilding paymentsContents paymentsTotal paid
Miami-Dade62,015$672,812,999$182,229,402$855,042,401
Broward35,037$390,207,147$67,867,191$458,074,338
Palm Beach10,754$58,374,321$13,652,004$72,026,325

High-tide flooding at two South Florida tide gauges

Direct answer: NOAA recorded minor high-tide flood days in most recent years at both the Virginia Key and Lake Worth Pier gauges, with the highest single-year count in this window being nine days at Virginia Key in 2019.

These are readings at two individual tide gauges. They describe water levels at those two locations and are not generalized to any city or county. Neither gauge measures rainfall-driven street flooding, drainage capacity or inland conditions.

Minor high-tide flood days per calendar year at two NOAA tide gauges. Source: NOAA Tides and Currents annual flood-day counts, station 8723214 Virginia Key, FL and station 8722670 Lake Worth Pier, Atlantic Ocean, FL.
YearVirginia Key (8723214)Lake Worth Pier (8722670)
201400
201533
201635
201732
201800
201994
202064
202104
202233
202365
202455

Rainfall context

Direct answer: official 1991–2020 climate normals put annual precipitation within half an inch of each other at the three main South Florida airports — 61.90 inches at Miami International, 62.18 inches at Fort Lauderdale–Hollywood International and 62.33 inches at West Palm Beach International.

UrgentHomePro analysis: because the three normals differ by less than one inch, annual rainfall totals do not distinguish the three counties from one another. Differences in water intrusion and drainage outcomes therefore come from factors these normals do not measure — elevation, drainage infrastructure, water table, and the age and condition of individual buildings.

Annual precipitation normals, 1991–2020. Source: NOAA National Centers for Environmental Information U.S. Climate Normals.
StationStation IDAnnual precipitation normal (inches)
Miami International Airport, FLUSW0001283961.90
Fort Lauderdale–Hollywood International Airport, FLUSW0001284962.18
West Palm Beach International Airport, FLUSW0001284462.33

Housing age and construction context

Direct answer: the Census year-built figures record when a structure was originally built. They do not record whether it has since been re-piped, re-roofed, re-wired or renovated, and this report makes no claim about the present condition of any building.

What the data supports is a statement about distribution: the share of housing units originally built before 1980 varies by 51.2 percentage points across the 10 cities analyzed, and by 16.5 percentage points across the three counties. Any analysis that treats South Florida as a single housing-age market is working against that spread.

UrgentHomePro analysis: for readers deciding where to focus inspection or maintenance planning, the city-level figures are the usable unit. The county figures conceal municipalities at both extremes, and ZIP-code or neighborhood variation within a city is not measured here at all.

Plumbing and water-system risk factors

Direct answer: this report does not publish failure rates for plumbing systems, because no primary source in this dataset measures them. What it publishes is the age distribution of the housing stock and the record of insured flood losses, which are inputs a homeowner or researcher can combine with a building-specific inspection.

The emergencies homeowners most often face in this category are covered in UrgentHomePro's own guides rather than asserted here as statistics: what to do about a burst pipe, how a sewer backup develops and is cleared, and how a slab leak is located.

  • Burst pipes and the first actions that limit damage — see the burst pipe repair guide.
  • Sewer backups, including the difference between a private lateral blockage and a main-line problem — see the sewer backup guide.
  • Slab leaks, which are located by professional detection rather than by visible water — see the slab leak detection guide.
  • Water extraction and drying after any of the above — see the water damage extraction guide.

Roof and exterior risk factors

Direct answer: this report does not estimate roof condition or roof age, which the Census does not measure. The relevant verified context is the storm-track record above and the fact that half of Broward's and Miami-Dade's housing units were originally built before 1980.

Roof replacement in South Florida is governed by the Florida Building Code's high-velocity hurricane zone provisions in Miami-Dade and Broward, which is why cost and scope differ from other parts of the state. UrgentHomePro's roof replacement cost guide explains what drives those differences without quoting a price this report could not source.

Emergency repair categories homeowners should understand

Direct answer: most South Florida home emergencies split into two jobs — stopping the cause and repairing the consequence — and booking only the first is the most common mistake. The table maps the categories this report's data touches to the guidance UrgentHomePro publishes on each.

Emergency categories and where each is covered in detail.
CategoryTypical first callOften needed second
Burst pipe with water runningPlumberWater damage extraction
Sewage backing up indoorsPlumber for the blockageSewage cleanup specialist
Suspected slab leakLeak detectionPlumbing repair or reroute
Standing water after rain or floodingWater damage restorationPlumber if the source is plumbing
Rain entering through the roofRoofing contractorWater damage restoration

Homeowner emergency-preparedness checklist

Direct answer: the preparation that matters most is knowing where to shut off water and power, and having dated photographs of the property before anything happens.

  • Locate and test the main water shut-off valve, and keep a meter key with it if the valve sits in a below-grade box.
  • Label the breaker panel so individual circuits can be isolated without cutting power to the whole house.
  • Clear roof drains, gutters and yard drains before the wet season.
  • Photograph every room and the exterior; dated pre-event images make insurance documentation far simpler.
  • Record who supplies water and sewer at the property, and keep the utility's emergency number where it can be found in the dark.
  • Confirm flood-insurance status separately from homeowner's insurance; standard homeowner policies generally do not cover flood.
  • Follow local emergency management and National Weather Service instructions during storms rather than social media summaries.

Methodology

Housing data. U.S. Census Bureau, American Community Survey 5-Year Estimates, 2020–2024 vintage, retrieved from the Census Bureau's public data API on September 17, 2026. Tables used: B25034 (year structure built), B25035 (median year structure built), B25003 (tenure), B25024 (units in structure) and B25002 (occupancy status). Geographies: Florida state code 12, county codes 011 (Broward), 086 (Miami-Dade) and 099 (Palm Beach), and Florida incorporated places for the 10 cities. One vintage only; no figures from any other ACS release are mixed in.

Derived counts. Units built before 1980 = B25034_007 + B25034_008 + B25034_009 + B25034_010 + B25034_011. Units built before 1960 = B25034_009 + B25034_010 + B25034_011. Following Census guidance for derived estimates, the margin of error for each aggregate is the square root of the sum of the squared component margins of error. Worked example, Hollywood: the five pre-1980 components sum to 54,390 units, and their margins combine to ±2,032.

Derived percentages. Each percentage is a numerator that is a subset of its denominator, so the Census proportion formula is used: MOE(p) = √(MOE_numerator² − p² × MOE_denominator²) ÷ denominator. Where the quantity under the root would be negative, the ratio formula with a plus sign is substituted, as the Census handbook instructs. Worked example, Hollywood share of housing units built before 1980: numerator 54,390 ±2,032, denominator 72,843 ±1,203, p = 0.747, result 74.7% ±2.5.

Comparisons. Every comparison stated in this report was tested with Z = (E1 − E2) ÷ √(SE1² + SE2²), where SE = MOE ÷ 1.645. Differences are reported as real only where |Z| > 1.645, corresponding to 90% confidence. Comparisons that fail the test are stated as indistinguishable and are not ranked.

Flood claims. FEMA OpenFEMA dataset FimaNfipClaims (National Flood Insurance Program redacted claims), extracted September 17, 2026 via the OpenFEMA API. Every claim record for county codes 12011, 12086 and 12099 was retrieved and the building and contents payment fields summed. Totals reflect insured claims represented in that dataset only, in nominal dollars as paid, with no inflation adjustment.

Hurricane tracks. NOAA National Hurricane Center HURDAT2 Atlantic best-track database, file hurdat2-1851-2025-02272026.txt, covering 1851 through the 2025 season. For each county one reference point was used — the county seat coordinates listed in the table. For every storm in the file, the great-circle distance from each six-hourly best-track position to the reference point was computed and the minimum taken. A storm is counted when that minimum distance is 50 nautical miles or less and the maximum sustained wind recorded at that closest-approach position is 64 knots or greater, the standard hurricane threshold. The calculation is deterministic and reproducible from the public file; no estimation or interpolation is involved. These are storms whose tracks passed within 50 nautical miles of the reference point, not county landfall counts.

Tidal flooding. NOAA Tides and Currents annual flood-day counts for station 8723214 (Virginia Key, FL) and station 8722670 (Lake Worth Pier, Atlantic Ocean, FL). Values are as published by NOAA for each calendar year and are reported for those two gauge locations only.

Rainfall. NOAA National Centers for Environmental Information U.S. Climate Normals, 1991–2020 annual precipitation normals, for stations USW00012839, USW00012849 and USW00012844.

Separation of analysis from source data. Every number in this report comes from one of the named datasets. Paragraphs beginning 'UrgentHomePro analysis' contain our interpretation; everything else is a source-provided fact or an arithmetic derivation whose formula is stated above.

Data limitations

  • ACS figures are survey estimates with sampling error, not exact counts. Every percentage carries the margin of error shown, and comparisons that failed the significance test are reported as indistinguishable rather than ranked.
  • Year built records original construction only. It says nothing about re-piping, re-roofing, re-wiring, renovation or current condition.
  • Incorporated place boundaries do not match ZIP codes, utility service areas or neighborhood boundaries. Variation within a city is not measured here.
  • The 10 cities analyzed are those covered in depth elsewhere on this site. They are not a complete list of South Florida municipalities, and no regional or statewide ranking is implied.
  • FEMA totals cover only claims insured under the National Flood Insurance Program and represented in the redacted claims dataset. Uninsured losses and private flood policies are excluded, and dollars are nominal and not inflation-adjusted across decades.
  • Hurricane counts measure track proximity to a single reference point per county, not landfall, not storm size, not damage, and not future probability.
  • Tide-gauge flood days describe water levels at two specific gauges and are not generalized to any city or county.
  • FEMA's National Risk Index could not be retrieved during this research and is deliberately excluded rather than cited second-hand.
  • No proprietary risk score is published. Combining housing age, insured losses and storm tracks into a single index would require weightings no source supports.

How to cite this research

UrgentHomePro Editorial Team. "2026 South Florida Home Emergency Risk Report." UrgentHomePro, 2026. https://urgenthomepro.com/research/south-florida-home-emergency-risk-report

Tables and findings may be quoted with attribution to UrgentHomePro and a link to this page. Where a figure originates with the U.S. Census Bureau, FEMA or NOAA, please cite that agency as the data source and UrgentHomePro for the compilation and calculations. For press or data inquiries, use the UrgentHomePro contact page.

About UrgentHomePro

UrgentHomePro is a home-services matching platform serving Broward, Miami-Dade and Palm Beach counties. It connects homeowners with independent service professionals; it does not perform repairs, inspections or restoration work itself, and it is not a contractor, utility, insurer or government agency.

This report was compiled and reviewed by the UrgentHomePro editorial team against the published editorial standards. It contains no data drawn from the platform's own activity — every figure comes from the public sources named in the methodology.

Sources

UrgentHomePro is a home-services matching platform. We help connect consumers with independent home-service providers. UrgentHomePro does not perform home repairs and does not employ the independent providers it may route requests to. Provider availability, qualifications, licensing, pricing, warranties and service terms are determined by the individual provider. Calls placed through this site may be connected to an independent provider or a partner provider network, and UrgentHomePro may be compensated for qualifying calls and requests. Availability and arrival times vary by provider, location and current demand.