Palm Beach County Is Really Five Markets

In August 2026, national existing-home sales fell 2.0% from July and 1.2% from a year earlier, according to NAR’s release. Palm Beach County, meanwhile, had already recorded 170 sales at $10 million or more through August, surpassing its previous full-year record.

Those headlines describe different measures. Neither tells a homeowner in Jupiter Farms, Admirals Cove or a Boca Raton condominium what is happening in that property’s competitive market.

I examined five segments using completed transactions over September 1, 2025–August 31, 2026, compared with September 1, 2024–August 31, 2025. These selected local samples offer a framework for reading the county, rather than an exhaustive division of every property.

For another view of why a countywide headline can mislead, The $1 Million Line Has Moved in Palm Beach County groups closed sales by price band. Its county and selected-market samples have their own stated scope and period.

1. Established country clubs: different paths to a stronger total

Boca West Country Club and PGA National together recorded 504 distinct residential sales, up from 456. But the additional transactions came from PGA National; Boca West’s count was unchanged.

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Their combined median rose about 6%, but these communities include different residential property types. A pooled club median is a starting point for a more specific comparison.

For owners: compare properties within your community, subdivision and housing type, and with comparable membership requirements. The two-club total does not describe every home equally well.

2. Single-family neighborhoods: price the property’s actual competition

Jupiter Farms shows why the median selling price and price per square foot belong alongside one another.

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The median selling price rose about 7%; the median price per living square foot rose about 1%. The difference can reflect which homes sold, including their size, condition and location. Neither percentage measures appreciation for every property. The closing records also cannot establish what sales would have been at a different mortgage rate.

For owners: ask for both measures, then narrow the comparison to homes with similar lots and improvements. A Jupiter Farms home’s competitive position depends on those property details.

3. Ultra-luxury Palm Beach: first, count the sales correctly

I matched single-family closing records from Beaches MLS and the Palm Beach Board of REALTORS® MLS (PBBOR) to Town of Palm Beach parcels currently classified as single-family in the supplied county tax roll.

Beaches contributed 90 records and PBBOR contributed 95. Eighty-three sales appeared in both.

185 MLS records − 83 overlaps = 102 distinct sales.

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PBBOR added twelve closings absent from the Beaches single-family sample. Counting transactions once reveals a market with substantially more sales and a much smaller increase in its median price.

The deed reconciliation changes the apparent off-market story. In a separate tax-history sample of 112 qualifying deeds, checking Beaches alone left 30 without a matched closing. PBBOR resolves eleven of those gaps, representing $174.15 million in recorded consideration. What looked absent from the MLS was, in those cases, present in the other board’s records.

That leaves 19 deeds totaling $534.06 million without a matched closing in either feed. This is a substantial unresolved group, not a verified count of private sales. One property had canceled listings in both boards shortly before its deed date. An unmatched deed calls for a closer look at its marketing history; an MLS closing record alone also does not prove that the property was publicly marketed before it sold.

The timing matters: the latest included deed is July 16, 2026, so this lagging tax extract cannot establish the full-year off-market share. The detailed matching rules and sample shares appear in Sources and Methodology below. This is also why public-data analysis works best when source limitations are explicit; I discuss that broader issue in What Buyers and Sellers Can Already Do With AI and Public Real Estate Data.

For owners: make sure a Palm Beach comparison checks both MLS boards, reconciles duplicate sales, and verifies marketing history before labeling a transaction “off-market.”

4. Luxury country clubs: fewer transactions can coexist with higher $/SF

The four luxury clubs in this comparison are moving at different speeds.

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At Admirals Cove, sales fell 22% while the median price per living square foot rose 8%. Its raw file contained 51 closed records; reconciling repeated entries reduced the count to 39 transactions. Twelve additional records were not twelve additional buyers.

The Admirals Cove $/SF comparison uses 38 current sales and 50 prior sales with positive reported living area; one current sale lacks usable area. St Andrews’ corresponding samples are 23 and 44. Waterfront position, renovation, age and the mix of homes sold still influence these medians. Dividing by square footage does not control for every property difference.

For owners: review sales pace and $/SF together, then compare the features buyers are choosing—especially condition, location and waterfront characteristics. A higher $/SF median does not eliminate competition from other listings.

5. Coastal condominiums: the building mix changes the headline

Boca Raton’s 33432 condominium sample makes the composition problem visible. The overall median fell about 34%. Restricted to buildings reported as built before 2023, the median rose about 4%.

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Sales in buildings reported as built in 2023 or later fell sharply, changing their contribution to the overall median. Construction year alone does not establish whether a transaction was an initial developer sale or a resale; this is a building-age comparison.

The county’s August condo median rose 5.3%. The unadjusted twelve-month 33432 median fell 34%. Different geographies, periods and building mixes can produce both results. Neither is an estimate of appreciation for the same individual condo.

For owners: start with your building and comparable units, then examine how newer buildings affect the broader figures. A ZIP-code median can move substantially even when the older-building comparison moves the other way.

Which market are you measuring?

A useful property analysis begins with the relevant market, a consistent period, and transactions counted once. It then connects those figures to the property’s condition, location and actual competition.

Keep the clock consistent, too. National and county releases report a particular month or year-to-date total; the community comparisons here cover twelve months. A trailing year reduces the influence of an unusual month, but responds more slowly to a recent change.

Before pricing a property, establish which of these comparisons describes its likely buyers and competing homes. That is where market intelligence becomes a property-specific strategy.

Sources and methodology

Published September 21, 2026. Community closing windows: September 1, 2025–August 31, 2026 and September 1, 2024–August 31, 2025. Dollar values are nominal. Changes are calculated from unrounded values; displayed figures are rounded. Medians describe sold-property samples and are not repeat-sales appreciation indexes.

National and county context. NAR’s August 2026 existing-home sales release and MIAMI REALTORS® + RWorld’s August 2026 Palm Beach County release. These are monthly or year-to-date figures, as identified in the article, rather than the community study’s trailing-year comparisons.

Community and condominium sources. I used supplied Beaches MLS development exports for Boca West Country Club, PGA National, Jupiter Farms, Admirals Cove, Old Palm, Royal Palm Yacht & Country Club and St Andrews Country Club, plus the supplied 33432 MLS export. Residential records marked Closed with positive closing prices were included. Jupiter Farms was restricted to Single Family Residence; the 33432 sample was restricted to Condominium. Other development samples included all residential subtypes in their source groups. Those groups are not certified legal boundaries. Repeated records with the same normalized parcel (or address when a parcel was missing), price and closing dates within seven days were counted once. Price per square foot was calculated as the median of each eligible sale’s closing price divided by its positive MLS living area, not total building area or a ratio of two medians. No tax-area substitution was used. The 33432 comparison covers the supplied ZIP-code condo sample, not a selected ten-building basket; age groups used the MLS YearBuilt field. No historical inventory or months-of-supply estimate was made from a later export snapshot.

Palm Beach MLS sample. I used supplied Beaches 33480 MLS, PBBOR MLS and county 33480 tax exports. Single-family MLS closings were matched to Town of Palm Beach tax parcels currently classified 0100. Current tax classification can exclude former homes subsequently demolished or reclassified. The broader MLS-classified sample contained 107 current-window sales; five on differently classified tax parcels were excluded. Parcel identifiers and addresses were normalized, and records were reconciled within and between boards using property, date and price, with reviewed exceptions corroborated by tax sale history. Two prior-period cross-board price conflicts used the Beaches price that agreed with the deed record. One current parcel identifier was corrected using corroborating address, price and deed evidence.

Deed reconciliation and sample rules. The supplied tax history contained 112 qualified warranty-deed records in the article’s date window on parcels currently classified as single-family, including two transfers coded vacant when sold. Repeated tax rows were collapsed by parcel and all five sale-history slots were inspected. Positive-price records with exact qualification code Q and instrument WD on current 0100 parcels were included; repeated deed identifiers and shared consideration were checked. Each resolved parcel was matched to a closing within 60 days in either supplied residential MLS export, regardless of MLS subtype, and no closing was assigned to two qualifying deeds. Five matched deeds had consideration different from the MLS price; deed statistics used deed values.

Matching Beaches alone left 30 deeds without a closing match. PBBOR resolved eleven of them, representing $174.15 million. Nineteen remained unmatched to a closing in either feed, representing $534.06 million: 17.0% of the deeds and 26.6% of recorded consideration in this lagging sample. The latest qualifying deed was July 16, 2026, so these shares are not full-year market estimates and must not be extrapolated. An MLS closing entry does not establish public marketing before the sale; an unmatched deed does not establish a private sale. The 19 unmatched deeds also cannot simply be added to the 102 MLS sales because the cohorts and timing differ.