Move With Momentum Housing Research

Florida Housing Market Tracker

AUGUST 2026 RELEASE · UPDATED MONTHLY

This release: August 10, 2026 (Zillow June data) · Next release: on the July Zillow drop, ~August 18, 2026 · Download the full media kit (ZIP)

Florida Housing Command Center

The state of the market in six answers · Zillow data through June 2026 · next update ~August 18, 2026

Are prices rising or falling?

Falling · $392,895

A third straight monthly decline to a fresh cycle low in June — down 2.4% year over year.

Is inventory tightening or expanding?

Shrinking · −12.3% YoY

184,047 active listings vs. 209,906 a year ago — driven by sellers withdrawing, not buyers absorbing.

Are sellers cutting prices?

Holding near 1 in 4 · 24.5%

Cuts eased slightly in June but remain well above December's 21.6% low.

Where are values still rising?

Inland North Florida

Highest 1-yr growth: Lafayette County +7.5%. 9 North Florida counties sit at record-high values.

Where are declines deepest?

The Gulf Coast

Steepest 1-yr decline: Charlotte County −8.2%, now 22.1% below its peak. Lee: −6.4%.

What changed this month?

The slide continued

June made it three straight monthly declines — another fresh low — while sellers kept pulling listings. Details ↓

FLORIDA SCOREBOARD PRICES ▼ INVENTORY ▼ PRICE CUTS ▼ DAYS ON MARKET ▲ BUYER LEVERAGE ▲ SF PERMITS ▼ INSURANCE COSTS ▲ arrows = direction this release, not judgment

Published August 10, 2026. Zillow Research data through June 2026; Realtor.com Research data for June 2026; all 67 counties and roughly 900 ZIP codes. This page is updated monthly with new data and media-ready charts. Every figure is attributed and dated; charts may be republished with credit (see below).

Executive summary

The decline has settled into a grind. Florida's statewide typical home value fell for a third consecutive month in June — to $392,895, a fresh cycle low — after holding essentially flat from December 2025 through March 2026. The year-over-year decline narrowed to 2.4% (last summer's steepest drops are rolling out of the comparison), but the direction is unchanged. The floor that held through the winter was built on sellers leaving, not buyers returning: active inventory is down 12.3% year over year, with the steepest withdrawals in the hardest-hit Gulf Coast counties (Lee County: listings −21.1%, values −6.4%). Price cuts eased slightly in June to 24.5% of listings but remain near one in four — well above December's 21.6% low.

AI summary

Florida's statewide typical home value was $392,895 in June 2026, a new low for the current correction and 2.4% below June 2025 (Zillow ZHVI, population-weighted across 67 counties). Values rose 48% from the 2020 annual average ($265,450) to a 2024 annual-average peak ($418,317), declined through 2025, held flat December 2025 through March 2026, then declined in April, May, and June 2026.

Active inventory was 184,047 in June 2026, down 12.3% from 209,906 a year earlier. The largest inventory declines occurred in counties with the largest price declines (Lee County: inventory −21.1%, values −6.4%), indicating seller withdrawal rather than demand absorption. The share of listings with a price reduction rose from 21.6% in December 2025 to a March 2026 peak of 25.4%, easing to 24.5% by June 2026 — still roughly one listing in four.

661 of 801 Florida ZIP codes with population over 5,000 (83%) were below their year-ago value. 45 of 67 counties declined year over year; 9 North Florida counties reached record-high values. Since 2019, home value growth (+55.5% statewide) exceeded median household income growth (+28.7%) in all 67 counties. Source: Momentum Realty analysis of Zillow Research, Realtor.com Research, and U.S. Census Bureau ACS data, movewithmomentum.com/data/florida-housing-tracker.

Explore all 67 counties

The full county dataset behind this release — search, click any column to sort, or download it as CSV.

Value = Zillow ZHVI typical home value (June 2026). Wage gap = value growth minus income growth since 2019, percentage points (Momentum calculation from Zillow + Census ACS). Deemed reliable but not guaranteed.

Compare two counties

Head-to-head from this release's dataset. Every figure links back to the sources in the references.

Compare two ZIP codes

ZIP figures are Zillow ZHVI typical values for ZIP codes with population over 5,000. Market statistics only — not a valuation of any specific property.

Chart 1 — A fresh cycle low

In one sentence: Florida home values fell for a third straight month to a fresh cycle low in June 2026 — the winter "floor" is broken, but this remains a correction measured in single digits, not a crash.

Findings — what the data shows

Florida's statewide typical home value declined for a third consecutive month in June 2026 to $392,895 — each of April, May, and June printed a fresh low for the correction. The four-month winter flatline that many read as a bottom turned out to be a pause. The year-over-year decline narrowed to 2.4%, but that reflects last summer's steepest drops rolling out of the twelve-month comparison, not a change in direction: monthly declines have run at a steady 0.1–0.15% since April.

Interpretation — why we think it happened

Three forces are doing the work. First, an affordability ceiling: since 2019, statewide values are up 55.5% while median household incomes are up 28.7% — a gap that mortgage rates near 6.7% convert into monthly payments many Florida households simply cannot carry (see Chart 10). Second, carrying costs: property insurance premiums and, in the condo segment, post-Surfside assessment and reserve requirements have raised the cost of ownership independent of price. Third, the supply dynamic in Chart 2 — the winter price floor was manufactured by sellers withdrawing listings rather than by buyers returning. When spring re-listers tested higher asking prices, the market refused them: price cuts rose (Chart 3) and values resumed falling.

Historical context

This is not 2008. In the 2006–2011 bust, Florida values round-tripped their entire boom amid forced selling — foreclosures created supply that had to transact at any price. Today's decline is a partial giveback of a historic boom by discretionary sellers who can wait: every one of the 67 counties remains 35–94% above its 2019 value, and 33 of 67 are within 5% of their peaks. The honest framing is a grinding repricing toward what local incomes can support — with the pace set by how long sellers hold out.

Chart 2 — The price floor is a seller strike

In one sentence: Florida's winter price floor was built by sellers leaving the market, not buyers entering it — which is exactly why it failed in the spring.

Findings — what the data shows

Across Florida's 33 largest counties, the relationship between inventory change and price change runs the "wrong" way: the markets where prices fell hardest are also the markets where the most listings disappeared. In a demand-driven recovery, shrinking inventory accompanies rising prices as buyers absorb supply. Florida shows the opposite pattern — supply left because sellers gave up on their price, not because buyers met it.

Interpretation — why we think it happened

Two mechanics drive the seller strike. The first is the mortgage lock-in effect: a large share of Florida owners hold sub-4% mortgages from 2020–2021, so selling into a soft market and refinancing a purchase at ~6.5% is doubly punishing — withdrawal is rational. The second is anchoring: discretionary sellers who bought or refinanced at 2022 valuations resist realizing a loss, so when the market rejects their price, they delist rather than cut. Our MLS-based Live Tracker now measures this directly: delistings in Northeast Florida ran roughly 2.4× their two-year norm in June 2026.

Historical context

Withdrawal-built floors have a defined life cycle. Because the underlying demand deficit is unresolved, each listing season re-tests the market: withdrawn sellers return, inventory rebuilds, and if buyers still don't appear at the old prices, cuts and declines resume — precisely the April–June 2026 sequence. The contrast with 2008 is again instructive: then, foreclosure supply forced price discovery; today, discretionary supply delays it. That is why this correction is slower, shallower, and longer than the crash most headlines reach for.

Chart 3 — Price cuts hold near one in four

In one sentence: Price-cut share is this page's best leading indicator — it bottomed in December, surged through the spring, and correctly called the spring price declines in advance; it eased slightly in June.

How price cuts work as a signal

A price cut is a seller updating their beliefs in public. Because asking prices adjust weeks-to-months before closed prices print, the share of listings taking a reduction functions as an early-warning system for where values head next. It is also mechanically honest: unlike sentiment surveys, a cut is a costly action, taken reluctantly. When the share rises while inventory is falling — as it has all spring — the signal is even stronger, because it means even a thinned-out, presumably more committed pool of sellers is being forced to reprice.

Findings — what changed this month

June's reading of 24.5% is the first monthly easing since the December low — but the level matters more than the wiggle: cuts have now held near one in four through the entire spring listing season, while the statewide value fell to fresh lows in April, May, and June. The spring surge (21.6% in December to 25.4% by March) was the early warning; the summer plateau says the repricing pressure hasn't released.

Interpretation — historical context and what it may signal

In this cycle, cut-share ran near 28% in mid-2025, months before the steepest value declines; its December trough anticipated the winter flatline; its spring climb anticipated the flatline's failure. At 24.5% the market is squarely in correction territory but below last summer's 27.9% — consistent with continued modest declines rather than acceleration. Watch the fall readings, when withdrawn sellers typically re-list: a push back toward 27–28% would say the repricing is deepening; a sustained rollover from here would be the first credible bottoming signal of this cycle. No indicator is infallible, and cut-share can shift with inventory mix — see research notes.

Chart 4 — 83% of ZIP codes lost value in a year

In one sentence: The correction is extraordinarily broad but shallow — 83% of Florida ZIP codes are below their year-ago value, yet the typical decline is only about 3%.

Findings — what the data shows

Value declines have reached nearly every corner of the state: 83% of populated ZIP codes are below year-ago levels. But the distribution matters as much as the share — the dots cluster tightly around −2%, with thin tails. Only a small minority of ZIPs are down more than 10%, and those concentrate in identifiable segments: older condo/co-op communities and southwest-coast markets.

Interpretation — why breadth-without-depth matters

Broad shallow declines and narrow deep declines are different diseases. Narrow-and-deep (the 2008 pattern in exurban Florida) signals localized distress — overbuilding, speculation, foreclosure contagion. Broad-and-shallow signals a common statewide force acting on everything at once: the affordability ceiling created when values outran incomes by 30 points and rates doubled. That force compresses all prices modestly rather than collapsing a few markets dramatically. For anyone modeling risk, dispersion is the statistic to watch — a widening left tail would be the early sign of the correction turning into something worse. So far it has not widened materially.

Historical context

The three-year figure is the quiet story: 65% of ZIPs are below June 2023, meaning most of Florida has now given back more than two years of appreciation. Yet because the 2020–2022 boom was so large, even three years of givebacks leave the median ZIP far above pre-pandemic levels — the same partial-giveback shape visible in the county tables (Charts 8–9).

Chart 5 — Same county, opposite markets

In one sentence: County averages are hiding 21-point spreads inside single counties — the real market splits by price segment and property type, not by county line.

Findings — what the data shows

Take any large Florida county and compare its best- and worst-performing ZIP over the past year: the spread routinely runs 8–20 percentage points. Palm Beach is the extreme — a county whose headline average (−3% range) describes almost none of its actual neighborhoods, because it blends a −13% condo-heavy ZIP with a +9% luxury single-family ZIP.

Interpretation — why we think it happened

The correction is segmented, not geographic. Insurance premiums, condo association assessments, and post-Surfside structural-reserve requirements act like a tax that scales inversely with price point — a $500/month assessment increase is ruinous math on a $139K condo and a rounding error on a $1M house. Meanwhile the buyers least affected by mortgage rates (cash-heavy, higher-wealth households — see our cash-share research) concentrate in exactly the segments that are holding. The result: the bottom of the market reprices while the top holds or rises, inside the same county.

What this means in practice

Any decision priced off a county average — an offer, a listing price, an underwriting assumption, a headline — inherits this error. The county lookup above and the ZIP rankings exist precisely so buyers, sellers, and reporters can work one level down, where Florida's housing market actually clears. Note these are market-level statistics, not a valuation of any specific property.

Chart 6 — The Two Floridas

In one sentence: Florida has split into two housing markets — an inland North Florida that is still setting record highs and a coastal peninsula that is correcting, hardest on the southwest Gulf Coast.

Findings — what the data shows

The county map has settled into a stable two-color pattern: green concentrated in the rural inland north, red across the peninsula and both coasts, deepest in the southwest. This is not a one-month artifact — the same geography has held for over a year, and the gap keeps widening in the rankings (Chart 8).

Interpretation — why we think it happened

Three overlapping geographies explain the map. Affordability migration: inland North Florida counties are the state's least expensive markets ($180K–$320K), and demand priced out of the metros flows toward them — the one segment of Florida demand that rising costs strengthen rather than weaken. Insurance geography: the coastal counties carry the state's highest and fastest-rising premiums; the southwest coast additionally overlaps Hurricane Ian's 2022 landfall zone, where post-storm rebuilding met the demand cliff. Boom composition: the Gulf Coast pandemic boomtowns (Charlotte, Lee, Sarasota) ran furthest above income-supported prices, so they have the most to give back — Charlotte boomed hard enough that it now ranks last in growth since 2019 despite being a top-tier pandemic winner.

Historical context

Divergence this wide between regions of one state is unusual outside recessions. The inland-north outperformance is the affordability story wearing a different costume: the same force pushing coastal prices down (payments exceeding incomes) pushes demand inland. Whether those small markets can absorb it without overshooting is one of the questions we track monthly — several are already at record highs on thin volume, which cuts both ways.

Chart 7 — Palm Beach's 21-point split

In one sentence: Florida's condo repricing works from the bottom up — the cheapest condo-heavy ZIP in Palm Beach County fell 13% while the county's $1M single-family ZIP rose 7%.

Findings — what the data shows

Indexed to April 2025, the two ZIP codes have moved in opposite directions nearly every month — this is a persistent structural divergence, not volatility. The lowest-priced housing in one of America's wealthiest counties is repricing at a double-digit annual pace while its highest-priced housing appreciates.

Interpretation — why we think it happened

The economics are brutally simple: fixed costs against a small denominator. Post-Surfside legislation (structural integrity reserve studies, funded reserves, milestone inspections) plus insurance repricing added hundreds of dollars a month to the cost of owning an older condo. On a $139K unit, a $400–600 monthly increase is equivalent to a 25–40% price cut in payment terms — so the price adjusts. On a $1M+ single-family home bought disproportionately with cash, the same shocks barely register. Add rate-sensitive entry-level buyers versus rate-immune wealthy buyers, and both ends of the spread are explained.

Interpretation — what it may signal

Bottom-up repricing tends to climb the ladder slowly: as older-condo prices fall, they pull comparable-segment valuations with them, while the single-family and luxury segments remain on their own cycle. For the statewide numbers, this means condo-heavy metros (Southeast Florida, parts of Tampa Bay) will keep printing weaker aggregate figures than their single-family submarkets actually experience — one more reason segment-level data beats county averages (Chart 5).

Chart 8 — Florida home values by county, ranked

In one sentence: The boom leaderboard has fully inverted — the cheap rural counties nobody covered lead Florida since 2019, while the pandemic darlings of the Gulf Coast sit at the bottom, as much as 22% below peak.

What the table shows

Reading down the vs-2019 column: the top is a roll call of small, inexpensive, inland counties; the bottom is the 2021 boom-town map. Charlotte County is the starkest case — a top-tier pandemic boomtown that has crashed 22.1% from its peak ($384K → $299K) and now ranks dead last in growth since 2019 (+35%). Nothing has round-tripped: the worst-performing county in Florida still beat its 2019 value by a third.

The 2022 column

For most coastal counties the explosive move happened between the 2021 and 2022 columns — and values have drifted sideways-to-down since. Sarasota's 2022 annual average ($476K) exceeds its June 2026 value ($399K): in much of coastal Florida, the story of 2023–2026 is a long unwind of one extraordinary year. Anyone comping against a 2022 sale is comping against the top tick.

How to use this table

The vs-peak column is a negotiation map for buyers (Charlotte, Lee, Sarasota, Manatee offer 2021–2022 prices with 2026 selection) and a pricing reality check for sellers in those markets. The at-peak rows are the affordability-migration story of Chart 6 in tabular form. For researchers, this is the densest single artifact on the page — every county, every year since 2018, growth and drawdown in one image, with the underlying numbers in the release dataset.

Chart 9 — The 14-year view

In one sentence: Zoom out and the correction nearly disappears — the median Florida county has gained 159% since 2012, and not one of the 67 counties is up less than 93%.

Why this chart exists

Every month of correction coverage — including ours — risks losing the denominator. This table restores it. A household that bought the median Florida county home in 2012 has seen its value multiply roughly 2.6×; even in the hardest-hit markets, long-term owners retain enormous equity. The current decline is real and worth measuring precisely, which is what the rest of this page does; it is also, on a 14-year axis, a wiggle at the end of a very large move.

Interpretation — what drove 14 years of gains

Three regimes stack on top of each other: the 2012–2019 recovery from the foreclosure-era undershoot (Florida was among the cheapest large-state markets in America in 2012); the 2020–2022 pandemic migration boom, which compressed a decade of demand into two years; and the 2023–2026 era of high rates and high carrying costs now giving part of the second regime back. Hendry's +279% and the broad inland outperformance mostly reflect the first regime's low starting points — the cheapest 2012 markets had the most room to normalize.

The equity cushion and why it matters

This accumulated equity is the structural reason the correction has produced a seller strike instead of a foreclosure wave: owners who can sell at a large lifetime gain — or simply wait — do not become forced sellers. It is the single biggest difference between 2026 and 2008, and it shapes everything else on this page, from inventory withdrawal (Chart 2) to the shallow ZIP distribution (Chart 4).

Chart 10 — Where home prices outran paychecks the most

In one sentence: In zero of Florida's 67 counties did household incomes keep pace with home values since 2019 — the affordability gap is the correction's root cause, and it has only partially closed.

Findings — what the data shows

We ranked all 67 counties by home-value growth minus household-income growth since 2019. Every county is positive — every one. The extremes tell the story: in Glades County incomes actually fell while values nearly doubled; in Union County the fastest wage growth in Florida still couldn't keep up. And the only county that came close to parity, Charlotte, got there by crashing — its narrow gap is a symptom of correction, not of health.

Interpretation — why this is the master variable

Housing markets can detach from incomes temporarily — migration surges, cheap credit, and investor flows all did that work in 2020–2022 — but payments are ultimately made out of paychecks. When the payment-to-income ratio stretches far enough, demand thins from the bottom up: first-time buyers exit, then move-up buyers lose their trade-up math, and the market is left to cash-rich segments (which is exactly the segmentation visible in Charts 5 and 7). The 2025–26 correction is this constraint asserting itself. The gap closing from both directions — modest price declines plus continuing wage growth — is the most plausible non-crash path back to a functioning market, and this chart is how we will measure that progress annually as new ACS data lands.

A note on measurement

Income data is Census ACS 5-year (latest: 2023, in 2024 inflation terms), which lags the market; value growth is measured through June 2026. If anything, the lag understates current incomes modestly — and the conclusion survives any plausible adjustment, because the gaps are measured in tens of points, not decimals.

Momentum Buyer Power Index™

In one sentence: A 0–100 score of how strongly current conditions favor buyer negotiation in each county, computed from five observable market inputs — this release's statewide leaders are Manatee (75), Pinellas (74), and Lee (72); the tightest markets are Hamilton (13), Jefferson (25), and Leon (27).

Findings: the index is an equal-weight percentile-rank composite of price-cut share, days on market, inventory change, drawdown from peak, and 1-year value change across all 67 counties. The Gulf Coast correction markets dominate the top of the table; rural North Florida's record-high markets hold the bottom. Every county's score is in the explorer table (sortable, and every county links to its Data Terminal) and the release dataset.

Interpretation: a high score describes conditions historically associated with buyer leverage — many repricing sellers, long marketing times, growing supply — not a prediction that prices will fall further or a recommendation to buy or wait. It is recomputed every release, so scores shift as markets do. Full formula in the research notes; definition in the glossary.

What changed since last month?

The biggest movers in this release, compared with the June release (April data):

• New record: statewide typical value fell for a third straight month to another fresh cycle low ($392,895) — a steady grind, not an acceleration.
• Fastest-moving indicator: price-cut share eased for the first time since December (25.2% in May → 24.5% in June) but held near one in four.
• Largest 1-yr decline: Charlotte County, −8.2% — also the deepest below peak (−22.1%).
• Largest 1-yr gain: Lafayette County, +7.8%.
• New highs: 9 North Florida counties at record values.
• Charts that moved most: Chart 1 (new low) and Chart 3 (cuts reaccelerating).

Every release ships a versioned dataset (release-2026-08.json). Future releases compare against it automatically, so this section will always show precise month-over-month deltas.

Frequently quoted statistics

The numbers most often cited from this page — each button copies the statistic with attribution attached.

Embed these charts

Bloggers and publishers: copy the snippet below any chart to embed it. The image stays current at this URL and credit is built in. Square (1080×1080) versions for Instagram and LinkedIn are in the same folder with an sq- prefix.

Methodology

Statewide values are population-weighted averages of county-level Zillow Home Value Index (ZHVI) figures across all 67 Florida counties; 2020–2024 points are annual averages and 2025–2026 points are monthly. Inventory and price-cut shares are Zillow Research county series (price-cut share weighted by county active inventory). Listing metrics (days on market, active/new listings, price-reduced share) are Realtor.com Research monthly county data. ZIP-level figures cover ZIP codes with population over 5,000 (Census ACS). The scenario range in Chart 1 is an illustrative band, not a prediction: no one can guarantee future prices. All information is deemed reliable but not guaranteed and speaks only as of the dates shown.

Statewide aggregation

Florida has no single "statewide home value" in the raw data — we construct it. Each month we take the county-level Zillow Home Value Index (ZHVI, all-homes, smoothed, seasonally adjusted) for all 67 counties and compute a population-weighted average using Census county population as weights. Population weighting means the statewide figure represents the housing experience of the typical Floridian rather than the typical acre: Miami-Dade influences the number ~400× more than Lafayette County. An unweighted average would run several percent lower and overstate rural markets. Historical points for 2020–2024 are calendar-year averages of the same construction; 2025–2026 points are monthly.

Change calculations

Year-over-year change compares each series to the same calendar month one year prior (no interpolation). "Vs. 2019" compares June 2026 to the county's 2019 annual average. "Vs. peak" compares June 2026 to the maximum of (a) every annual average since 2012 and (b) every month in the trailing 13 — a deliberately conservative peak definition that cannot be gamed by a single anomalous month. "At peak" is declared only when the current value is within $1 of that maximum. Growth ranks order all 67 counties by vs-2019 growth.

Inventory, cuts, and listing metrics

Active inventory is Zillow's for-sale inventory count summed across counties; the year-over-year figure compares matching months. Price-cut share is Zillow's county-level share of active listings with a price reduction, weighted by county active inventory (so the statewide share reflects where the listings actually are). Days on market and new-listing counts are Realtor.com Research monthly county data, used unmodified. These two vendors measure slightly different listing universes; we never mix them within a single statistic.

ZIP methodology

ZIP analysis covers the 801 Florida ZIP codes with Census population above 5,000 — the threshold removes PO-box and industrial ZIPs whose thin housing stock produces unstable indexes. Each ZIP's change is computed from its own ZHVI series; the "share declining" statistic counts ZIPs below their value in the same month a year earlier.

Income comparison

County median household income is Census ACS 5-year (table B19013), 2019 vintage vs. 2023 vintage (latest available), in current dollars. The affordability gap is county value growth (2019 annual average → June 2026) minus county income growth (2019 → 2023 ACS), in percentage points. The timing mismatch (values measured 30 months past the latest income data) is disclosed wherever the statistic appears; it biases the gap upward by at most a few points — immaterial against 30–90 point readings.

Assumptions and known limitations

ZHVI is an estimated index, not a ledger of transactions: it is smoothed, seasonally adjusted, and revised by Zillow as new data arrives — our charts adopt revisions at the next monthly release. Small-county series are volatile (several rural counties trade fewer than 20 homes a month). County assignment follows Zillow's geography. The Chart 1 scenario band is illustrative context, not a forecast, and nothing on this page predicts or guarantees future prices. Every figure we compute ourselves is labeled "Momentum calculation" and is reproducible from the release dataset.

Research notes

Limitations: ZHVI is a smoothed, seasonally-adjusted estimate of the typical (35th–65th percentile) home value and is revised by Zillow as new data arrives; small-county and ZIP-level series are noisier than state figures. ACS income is a 5-year estimate with a publication lag (latest: 2023). “Vs peak” uses each county’s highest annual average or any month in the trailing 13 — a conservative definition that can differ from single-month peaks. The Chart 1 scenario band is illustrative, not a forecast. Definitions: “declining” = below the same month one year earlier; population weighting uses Census county population; ZIP analysis covers ZIPs over 5,000 population (801 of them). Known caveats: price-cut share is inventory-weighted and can move when inventory mix shifts; county names follow Zillow’s conventions. Revisions: when Zillow revises history, our charts adopt the revised series at the next monthly release; material changes are noted in the version history. Anything labeled “Momentum calculation” is computed by us from the named public sources and is reproducible from the release dataset.

Version history

• v2.3 — August 10, 2026: August release on June Zillow data: statewide value extended to a third consecutive monthly decline and a new cycle low ($392,895); price-cut share eased to 24.5% after peaking near 25.4% in March; inventory decline steepened to −12.3% YoY. New media kit (media-kit-2026-08), release dataset release-2026-08.json, and mortgage-rate reference updated to the August 6 PMMS (6.69%). Figures reflect Zillow’s routine historical revisions.
• v2.2 — July 7, 2026: Launched the Momentum Buyer Power Index™ (0–100 percentile-rank composite, all 67 counties — in the explorer table, release dataset, glossary, and County Terminals). Added the Florida Housing Scoreboard to the Command Center. Restructured chart essays to separate labeled Findings from Interpretation. County explorer rows now link to each county's Data Terminal.
• v2.1 — July 7, 2026: Research-publication expansion: 300–600-word analytical essays before every chart (what happened / why / historical context), About This Research, Our Process, How to Read These Charts, 16-term anchored glossary, research timeline 2020–2026, common misconceptions, reporter Q&A, misunderstood-statistics guide, research-paper-grade methodology (aggregation, change math, ZIP and income methods, limitations), formal references, county-vs-county and ZIP-vs-ZIP comparison tools, research archive, ~20 additional FAQs, expanded author biography and schema. No data changes.
• v2.0 — July 6, 2026: Page redesigned: command center, executive summary cards, key takeaways, AI summary, sticky contents, per-chart source/citation/download blocks, county explorer table, frequently-quoted statistics, reporters section, versioned release dataset (release-2026-07.json). Added the values-vs-incomes chart (Chart 10) with county ACS wage overlay and the ranked county tables (Charts 8–9). Fixed the county lookup’s vs-2019 / vs-peak / rank fields (now served as JSON). May 2026 Zillow data.
• v1.0 — June 2026: First monthly release: statewide trend, seller-strike scatter, price-cut, ZIP, and map charts with April 2026 data.

About this research

In one sentence: Move With Momentum Housing Research is Momentum Realty's data desk — built to give Florida buyers, sellers, and journalists the market analysis we wished existed, from public data anyone can verify.

Why we built it. Most Florida market commentary is either national research with Florida as a footnote, or local opinion with no data at all. We work these markets daily as a brokerage, so we built the reference we needed: every county, every ZIP, every month, with sources and methods shown. The research is funded by Momentum Realty's brokerage business; we sell no data, take no data-vendor sponsorships, and the numbers say what they say — this month they say prices are falling, which is not a message a brokerage would invent.

Why Zillow Research data. It is public (anyone can verify us at zillow.com/research/data), monthly, covers every county and ZIP we need, maintains consistent methodology across geographies, and publishes revisions transparently. Why Realtor.com Research. Its listing-side metrics (days on market, new listings) come directly from listing feeds and complement Zillow's value-side indexes. Why Census ACS. It is the only income source consistent across all 67 counties. What is original: every aggregation, weighting, ranking, gap calculation, and chart — labeled "Momentum calculation" — plus our proprietary MLS-derived metrics (Pending Ratio™, delisting data) published on the Live Tracker.

Data vs. interpretation. Chart sections separate Findings (what the source data shows) from Interpretation (our analytical read) — named framings like the "seller strike" belong to the second category, and the underlying numbers are always downloadable so you can disagree with us. Cadence. This page updates monthly when Zillow publishes (typically mid-month); the Live Tracker updates daily; datasets are versioned monthly and old releases stay online. Corrections are noted in the version history.

Our process

• 1 · Ingest: county and ZIP source files are pulled from Zillow Research, Realtor.com Research, and Census APIs on release day.
• 2 · Clean: geographies are matched to our county/ZIP registry; population weights attached; thin ZIPs (<5,000 population) excluded.
• 3 · Validate: every headline statistic is recomputed independently from the raw files and cross-checked against the prior release before anything publishes; anomalies are traced to source revisions or rejected.
• 4 · Compute: weighted aggregates, growth series, rankings, and gap metrics are generated by version-controlled scripts — the same code every month.
• 5 · Chart: all graphics are generated programmatically from the computed data (no hand-edited numbers), with sources and dates embedded in each image.
• 6 · Publish: the page, media kit, and machine-readable release dataset ship together.
• 7 · Version: each release is archived as release-YYYY-MM.json; the next release diffs against it automatically.

How to read these charts

ZHVI ("typical home value"): Zillow's estimate of the value of the typical home (35th–65th percentile of all homes, not just those that sold), smoothed and seasonally adjusted. It moves more slowly and reliably than median sale price and is not distorted by which homes happened to sell — see frequently misunderstood statistics. Inventory: the count of active for-sale listings; falling inventory is bullish only when prices are rising — falling alongside falling prices signals seller withdrawal. Price cuts: the share of active listings that have taken an asking-price reduction; a leading indicator that turns before values do. DOM: median days on market for active listings — higher means slower. Population weighting: statewide numbers weight counties by residents, so they describe the typical Floridian's market. Seasonality: listings and cuts follow a spring-peak calendar; ZHVI is seasonally adjusted but listing metrics are not, so compare listing metrics year-over-year, not month-over-month. County vs. ZIP: county figures average away intra-county splits (Chart 5) — always confirm at the ZIP or segment level before acting.

Glossary

ZHVI (Zillow Home Value Index)

A smoothed, seasonally-adjusted estimate of the typical home value in a geography, covering the 35th–65th percentile of all homes — sold or not. The value backbone of this page.

Typical home value

Shorthand for the ZHVI level: what a mid-market home is worth, as distinct from the median price of homes that happened to sell.

Median sale price

The middle price among closed sales in a period. Sensitive to the mix of what sold — a luxury-heavy month raises it with no change in values.

Active inventory

The number of homes listed for sale at a point in time. Rises when listings outpace sales and delistings.

Price-cut share

The percentage of active listings that have reduced their asking price at least once. A leading indicator of value changes.

Days on market (DOM)

How long the median listing has been for sale. Longer DOM = slower market, more buyer leverage.

Months of supply

Inventory divided by the monthly sales pace: how long it would take to sell everything listed if nothing new arrived. Roughly 5–6 months is balanced.

Population-weighted

An average in which each county counts in proportion to its residents, so statewide figures describe the typical Floridian's market rather than the typical county.

Peak value

On this page: a county's highest annual-average value since 2012 or highest month in the trailing 13, whichever is greater. "Vs. peak" measures the drawdown from it.

Fresh cycle low

A value below every other reading of the current correction — evidence the decline is ongoing rather than bottomed. Florida has printed a string of them — most recently June 2026.

Seller strike

Our term for discretionary sellers withdrawing or withholding listings rather than cutting price — visible as inventory falling while prices also fall (Chart 2).

Delisting Rate

Listings withdrawn, expired, or canceled per 100 new listings in a month, measured per MLS on the Live Tracker. Includes routine relist churn; read the trend against its own baseline.

Momentum Pending Ratio™

(Pending + under-contract listings) ÷ (active + pending + under-contract): the share of the for-sale market a buyer has already claimed. Measured daily from MLS records; higher = tighter.

Seller Capitulation Rate™

The forthcoming churn-adjusted version of the Delisting Rate: delistings that do not relist within 90 days, per 100 new listings — sellers who actually gave up.

Momentum Buyer Power Index™

An equal-weight percentile-rank composite (0–100) of price-cut share, days on market, inventory change, drawdown vs peak, and 1-year value change across all 67 counties. Higher = conditions historically associated with more buyer negotiating leverage. Descriptive, not predictive.

Negative equity

Owing more on a mortgage than the home is worth. Rare in Florida today because values remain 35–94% above 2019 in every county — the key structural difference from 2008.

Affordability gap

Home-value growth minus household-income growth over a period, in percentage points (Chart 10). Positive in all 67 counties since 2019.

Research timeline: how Florida got here

Common misconceptions

"Inventory is falling, so demand must be back." No. Inventory falls when listings leave faster than they arrive — and listings can leave by selling or by quitting. Florida's 2025–26 inventory decline came with falling prices and rising cut-shares: that combination is seller withdrawal, not absorption (Chart 2).

"A price cut means the home was overpriced." Not necessarily. In a market falling ~3% a year, a correctly-priced January listing is overpriced by June through no error of the seller. Cut-share rising market-wide measures the market moving under sellers, not an epidemic of bad pricing.

"The county is down 3%, so my home lost 3%." County averages conceal 8–20 point spreads across ZIPs and segments (Charts 5, 7). Older condos and entry-level segments are repricing far faster than single-family and luxury segments in the same county.

"Zillow says values fell, but median sale prices rose — someone's wrong." Neither. Median sale price reflects which homes sold (mix); ZHVI estimates the value of all homes. When entry-level sales collapse, the median rises even as every home loses value. See below.

"A correction means a crash is coming." The defining features of 2008 — negative equity, forced selling, credit contagion — are largely absent: every county remains 35–94% above 2019, and the equity cushion converts distress into patience (Chart 9). The data supports a grinding repricing; it does not currently support a crash narrative. We publish the leading indicators monthly so readers can watch that assessment get tested.

Questions reporters ask us

Is Florida crashing? No — correcting. Statewide values are down 2.4% year over year to a fresh cycle low; the median county sits 4.8% below peak while remaining far above pre-pandemic levels. "Broad, shallow, and led by identifiable segments" is the accurate description.

Why are inland counties outperforming? Affordability migration: they are Florida's least expensive markets, and demand priced out of the metros flows to them. Twelve rural counties are at record highs — the same force pushing coastal prices down pushes inland demand up.

Will rate cuts fix this? They would help payments, but the gap is bigger than rates: values outgrew incomes by ~30 points since 2019 even before rates rose. A one-point rate cut restores roughly a tenth of the lost affordability; watch price cuts and the pending ratio for whether it changes behavior.

Why are condos weaker? Fixed cost shocks against small denominators: insurance repricing plus post-Surfside reserve and inspection requirements add hundreds of dollars monthly, which is devastating math at $139K and irrelevant at $1M (Chart 7).

What's driving the Gulf Coast declines? The stack: the state's biggest pandemic overshoot, Hurricane Ian's landfall zone, the insurance-cost epicenter, and heavy retiree/second-home exposure — the most discretionary demand in a downturn (Charts 6, 8).

What should we watch next month? Three numbers: the price-cut share (does the five-month climb continue?), inventory (do withdrawn sellers return?), and our MLS delisting data on the Live Tracker (is the seller strike intensifying?).

Frequently misunderstood statistics

Five numbers that get conflated in housing coverage — they measure different things and routinely move in different directions:

• Median sale price — the middle closed transaction. Moves with mix: if luxury keeps selling while entry-level stalls, it rises in a falling market. Fine for "what are buyers paying," misleading for "what are homes worth."
• Average sale price — same mix problem, plus distortion from outliers. A handful of $20M closings moves a county average; avoid it for trend analysis.
• ZHVI / typical value — a modeled estimate of all homes' value, sold or not. Immune to mix; the right tool for "are values rising or falling," which is why this page is built on it.
• List price — a seller's opening claim, not a market fact. Useful mainly through its changes (price cuts) and its spread to sale price.
• Sale-to-list ratio — what fraction of asking sellers actually got; measures negotiability. Falls when buyer leverage rises even if headline prices look flat.

Rule of thumb: mix-sensitive statistics (medians, averages) answer "what sold?"; index statistics (ZHVI) answer "what changed?" A market where the median sale price rises while ZHVI falls is not a contradiction — it is a market where the bottom stopped transacting.

Common questions

Are Florida home prices still falling in 2026?

Yes, modestly. The population-weighted typical value was roughly flat from December 2025 through March 2026, then declined in April, May, and June 2026 to a new cycle low of $392,895 — down 2.4% from a year earlier. 83% of ZIP codes with population over 5,000 were below their year-ago value as of June 2026.

Why did prices pause over the winter, then slip again?

The evidence points to supply withdrawal rather than a demand recovery. Active inventory is down 12.3% from a year ago, with the biggest declines in the counties where prices fell most — consistent with discretionary sellers delisting rather than cutting further. When spring re-listers returned at higher asking prices, price cuts climbed back to 1 in 4 listings and values slipped to a new cycle low.

Which parts of Florida are still rising?

As of June 2026, most of the counties with year-over-year gains are smaller inland North Florida counties (per Zillow ZHVI), while several higher-priced coastal ZIP codes in Southeast Florida also rose. See Charts 4 and 5 for the distribution.

How often is this page updated?

Monthly, when the source datasets refresh. Each chart carries its own data-through date.

Is this like 2008?

The data says no. In 2008 Florida values round-tripped their boom amid forced selling and mass negative equity. Today every county remains 35–94% above 2019, the median county is 4.8% off peak, and the equity cushion turns potential distress into patience — sellers withdraw instead of dumping. The correction is real; the crash mechanics are absent.

What role does insurance play?

A central one. Property insurance premiums raise the cost of ownership independent of price, hitting coastal counties and older condos hardest — the exact geographies and segments falling most. In payment terms, insurance increases act like a permanent rate hike concentrated on specific properties.

Why do you use Zillow's index instead of median sale prices?

Median sale prices move with the mix of what sold — a month where entry-level sales stall makes the median rise even as values fall. ZHVI estimates the value of all homes, sold or not, so it isolates actual value change. We use Realtor.com data where listing-side facts (DOM, new listings) are the question.

Which counties are strongest right now?

By 1-year growth: rural inland North Florida — Lafayette (+7.8%) leads, and 9 rural counties are at record highs. By resilience near peak, 36 of 67 counties sit within 5% of their all-time highs. The county explorer above sorts all 67 by any measure.

Which counties are weakest?

The southwest Gulf Coast: Charlotte (−8.2% year over year, −22.1% from peak), Lee (−6.4%, −16.8%), and Sarasota (−16.1% from peak). These were among the biggest pandemic boomtowns and sit in the insurance-cost and Hurricane Ian recovery zone.

Are investors leaving Florida?

National data shows large investors as net sellers in several Sun Belt metros. Our MLS-based research program is building Florida-specific measurements (cash-buyer share, operator listing behavior); early data shows cash purchases at 25–43% of closings depending on market. Follow the Live Tracker for updates.

What happens if sellers return in the fall?

Inventory would rebuild from withdrawn listings — the "shadow queue." If demand hasn't improved, more supply meeting the same buyers implies renewed pressure on prices; that re-test is precisely what broke the winter floor in April–May. Delisting and relisting data on the Live Tracker will show it first.

Should I wait to buy?

We publish data, not timing advice — prices can move either way from here. What the data does say: negotiability (cuts at 1 in 4, rising DOM) is the strongest since 2020, declines are broad but shallow, and segment choice (Charts 5, 7) matters more than timing the statewide bottom. Talk to a professional about your situation.

Why did values rise 48% in the first place?

Sub-3% mortgage rates, pandemic-era migration into Florida, remote work unlocking location choice, and a decade of underbuilding colliding with two years of compressed demand. The 2020–2022 episode compressed roughly a decade of appreciation into two years; the correction is unwinding part of it.

How do new-construction incentives affect these numbers?

Builders typically cut effective prices through rate buydowns and incentives that don't fully appear in asking prices, so builder-heavy submarkets can be softer than list data suggests. Our MLS research measures builder share of inventory and builder cut behavior — a dedicated tracker is on the roadmap.

What would make you say the market has bottomed?

Sequence, not a single print: price-cut share rolling over first, then inventory stabilizing without withdrawal (sellers staying while listings get absorbed), then the pending ratio rising on the Live Tracker, and finally year-over-year value declines shrinking for several consecutive months. None of the four has happened yet as of this release.

Do rising rents change the picture?

Rents matter through yields: as prices fall and rents hold, gross yields improve, which eventually attracts investor demand and puts a floor under prices. A rent and yield layer is on the research roadmap pending licensing review of rental data in our MLS feeds.

Can I republish these charts and figures?

Yes — with credit: "Momentum Realty analysis of Zillow Research data — movewithmomentum.com." Attribution is embedded in every image, embed codes are provided above, and the underlying dataset is downloadable. For custom cuts, email jon@movewithmomentum.com.

How are corrections handled?

When a source revises history or we find an error, we adopt the fix at the next release and document it in the version history. The versioned datasets mean any figure we've ever published can be checked against the release it came from.

Does Momentum Realty's business bias this research?

The incentive risk runs the other way: a brokerage benefits from optimism, and this page has spent months documenting price declines. The research is funded by the brokerage, uses public data anyone can verify, labels every calculation, and ships its raw numbers. Judge it by reproducibility.

What's the Live Tracker and how is it different?

This page is the monthly deep-dive built on public data. The Live Tracker updates daily from our six licensed MLS feeds with metrics public data can't see — pending ratio, delistings, new-listing flow — per market, never blended. Together they cover both cadences.

Download the data

Researchers should never need to scrape this page. Stable monthly endpoints (treat these as the v0 data API — a documented API is planned):

• release-2026-08.json — this release: headline statistics + all 67 counties (values, growth, peak, inventory, cuts, DOM, income gap). Versioned; prior months stay online.
• counties.json — live county dataset (values, 13-month sparklines, inventory, price cuts, Realtor.com metrics).
• zips.json — ~900 ZIP codes with value history anchors.
• county-yearly.json — annual county values, 2012–2026.
• Media kit (ZIP) — all charts (PNG), social squares, brief, and writeups.

CSV versions: use the “Download data (CSV)” buttons under each chart or in the county explorer (generated in your browser from the release dataset — nothing to install). XLSX cuts available on request. License: republish with credit — “Momentum Realty analysis of Zillow Research data · movewithmomentum.com.”

Research archive

Every monthly release stays online permanently — page, media kit, and dataset.

• August 2026 (current) — Zillow June data · third straight decline, new cycle low $392,895 · media kit · dataset
• July 2026 — Zillow May data · the winter flatline cracks · media kit · dataset
• June 2026 — April data · the winter flatline holds · first release of the monthly tracker (pre-dataset-versioning; figures preserved in the June media kit)
• Releases from August 2026 onward will be listed here automatically, with page snapshots, kits, and datasets.

References

1. Zillow Research. "Housing Data" (ZHVI all-homes county and ZIP series; for-sale inventory; share of listings with a price cut). zillow.com/research/data. Accessed August 1, 2026; data through June 2026.
2. Zillow Research. "ZHVI Methodology." zillow.com/research.
3. Realtor.com Research. "Monthly Housing Market Trends" (county inventory metrics, days on market, new listings). realtor.com/research/data. June 2026 vintage.
4. U.S. Census Bureau. American Community Survey 5-Year Estimates, Table B19013 (median household income), 2019 and 2023 vintages. data.census.gov.
5. U.S. Census Bureau via FRED. "New Private Housing Units Authorized by Building Permits: 1-Unit Structures for Florida" (FLBP1FH). fred.stlouisfed.org.
6. Freddie Mac. Primary Mortgage Market Survey (30-year fixed rate). freddiemac.com/pmms. August 6, 2026 reading: 6.69%.
7. Move With Momentum Housing Research. "Florida Housing Market Release Dataset, August 2026" (all Momentum calculations, machine-readable). movewithmomentum.com/data/fl-market/release-2026-08.json.
8. MLS-derived metrics (Live Tracker): realMLS, BeachesMLS, Space Coast MLS, DBAAR, Pensacola AoR MLS, Stellar MLS via MLS GRID — aggregate statistics with per-feed attribution. movewithmomentum.com/data/florida-live-tracker.

Move With Momentum Research Hub

New: Florida Live Tracker — daily Pending Ratio™ & Seller Capitulation Rate™ from MLS records · Florida median home prices by county · County market scorecards · NE Florida market dashboard