Pompano Beach single family ocean access homes are in a seller-advantaged market, with 72 active listings, 6.0 months of supply, and a market index of 68 as of the June 2026 report. The latest trailing six-month data shows stronger year-over-year activity, with 80 closed sales from January 2026 through June 2026, up 15.9%, while median sale price increased 16.9% to $1,437,500 and price per square foot rose 15.7% to $752. Market velocity also improved, with days on market declining from 63 to 57, while the sale-to-list price ratio held steady at 94%. Longer-term trends show pricing remains well above pre-pandemic levels, but median price per square foot has bounced up and down over the past few years, suggesting the market is still working to find its footing on pricing.
| Inventory | Jun 2025 | Jun 2026 | % Δ | Report Date | Report Month |
|---|---|---|---|---|---|
| Active Listings | 72 | 0.0 | 07/15/2026 | June 2026 | |
| Median List Price | $1,739,500 | 0.0 | |||
| High List Price | $14,995,000 | ||||
| Low List Price | $899,500 |
| Sales per Month | Months of Supply | *Market Index | Market Condition |
|---|---|---|---|
| 12.0 | 6.0 | 68 | Seller Advantage |
Buyer's
Market
Balanced
Market
Seller's
Market
The Inventory Table shows Active Listings, Median List Price, High List Price and Low List Price at the end of the most recent report month. Sales per Month: The average number of sales per month based on total sales over the past 12 months. Months of Supply: The number of months it would take to absorb the current active inventory based on the average monthly sales pace. The Market Index is calculated using a proprietary algorithm based on Month’s of Supply, Days on Market, Sale Price/List Price Ratio and change in Closed Sales Volume. A lower index indicates a Buyer’s Market and a higher index indicates a Seller’s Market.
| Year | Median Sale Price | % Δ | Median $/SqFt | % Δ | Units Sold | % Change3 |
|---|---|---|---|---|---|---|
| 2016 | 533,750 | 292 | 142 | |||
| 2017 | 615,000 | 15.2 | 323 | 10.6 | 143 | 0.7% |
| 2018 | 697,500 | 13.4 | 346 | 7.1 | 158 | 10.5% |
| 2019 | 650,000 | -6.8 | 345 | -0.3 | 140 | -11.4% |
| 2020 | 730,000 | 12.3 | 391 | 13.3 | 194 | 38.6% |
| 2021 | 925,000 | 26.7 | 488 | 24.8 | 215 | 10.8% |
| 2022 | 1,300,000 | 40.5 | 675 | 38.3 | 158 | -26.5% |
| 2023 | 1,295,000 | -0.4 | 655 | -3.0 | 125 | -20.9% |
| 2024 | 1,475,000 | 13.9 | 738 | 12.7 | 112 | -10.4% |
| 2025 | 1,250,000 | -15.3 | 656 | -11.1 | 133 | 18.8% |
| *6-Mo Trend | 1,437,500 | 752 |
The 10-Year Trend Table shows Median Sale Price, Median Dollar per Square Foot ($/SqFt) and Units Sold over the past 10 years. The table also includes year over year changes (% Δ) to Median Sale Price and $/SqFt. The 10-Year Trend Chart visually demonstrates the change in Median $/SqFt compared to Total Units Sold per year. Median $/SqFt provides a more stable measure of pricing change, especially in smaller local markets where median figures can be heavily influenced by the size, quality, or price range of properties sold in a given period.
| Date Ranges Compared: | Jan 2025 to Jun 2025 | Jan 2026 to Jun 2026 | % Δ |
|---|---|---|---|
| Units Sold | 69 | 80 | 15.9 |
| Median Sale Price | $1,230,000 | $1,437,500 | 16.9 |
| Price per SqFt | $650 | $752 | 15.7 |
| Days on Market | 63 | 57 | -9.5 |
| Sale Price / List Price | 94% | 94% | 0.0 |
| SqFt Living Area | 1,911 | 1,975 | 3.3 |
The Trailing 6 Month Analysis is a rolling view of market activity based on the most recent six months of data. Instead of analyzing just one month, this approach combines the latest six months to smooth out short-term fluctuations. This is especially useful in smaller local markets, where low monthly sales volume can distort one-month results. By analyzing the most recent six months together, it reduces volatility and offers a clearer view of underlying market conditions. Affect on Seasonality: The Trailing 6 Month Table lists 6 metrics pulled from 6 months of sales data, and compares those metrics to the same period of time last year. Comparing the latest six months to the same period last year helps reduce seasonality by measuring performance against the same seasonal window.
**Data compiled, analyzed and curated by By The Sea Realty. Source: Beaches MLS.

The Inventory Table shows Active Listings, Median List Price, High List Price and Low List Price at the end of the most recent report month.
Sales per Month: The average number of sales per month based on total sales over the past 12 months.
Months of Supply: The number of months it would take to absorb the current active inventory based on the average monthly sales pace.
The Market Index is calculated using a proprietary algorithm based on Month’s of Supply, Days on Market, Sale Price/List Price Ratio and change in Closed Sales Volume. A lower index indicates a Buyer’s Market and a higher index indicates a Seller’s Market.
The Trailing 6 Month Analysis is a rolling view of market activity based on the most recent six months of data. Instead of analyzing just one month, this approach combines the latest six months to smooth out short-term fluctuations. This is especially useful in smaller local markets, where low monthly sales volume can distort one-month results. By analyzing the most recent six months together, it reduces volatility and offers a clearer view of underlying market conditions.
Affect on Seasonality: The Trailing 6 Month Table lists 6 metrics pulled from 6 months of sales data, and compares those metrics to the same period of time last year. Comparing the latest six months to the same period last year helps reduce seasonality by measuring performance against the same seasonal window.
The 10-Year Trend Table shows Median Sale Price, Median Dollar per Square Foot ($/SqFt) and Units Sold over the past 10 years. The table also includes year over year changes (% Δ) to Median Sale Price and $/SqFt.
The 10-Year Trend Chart visually demonstrates the change in Median $/SqFt compared to Total Units Sold per year. Median $/SqFt provides a more stable measure of pricing change, especially in smaller local markets where median figures can be heavily influenced by the size, quality, or price range of properties sold in a given period.