Northeast Broward County oceanfront condos are in a balanced market as of July 13, 2026, with 545 active listings, 57.8 sales per month, 9.4 months of supply, and a market index of 60. The trailing six-month data points to stronger demand and firmer pricing, with 395 sales from January through June 2026, up 14.8% year over year, while median sale price rose 11.6% to $700,000 and price per square foot increased 2.8% to $480. Market velocity was essentially stable, with days on market edging up slightly from 71 to 72 and the sale-to-list ratio holding at 94%, suggesting buyers still have some negotiating room even as pricing has strengthened. Over the longer term, this segment remains below its 2022 pricing peak on an annual basis, but the latest six-month results suggest the market is gaining momentum and continuing to find firmer footing.
| Inventory | Jun 2025 | 7/13/2026 | % Change Y/Y | Report Date | Report Month |
|---|---|---|---|---|---|
| Active Listings | 545 | #DIV/0! | 07/13/2026 | June 2026 | |
| Median List Price | $889,000 | #DIV/0! | |||
| High List Price | $22,000,000 | ||||
| Low List Price | $240,000 |
| Sales per Month | Months of Supply | *Market Index | Market Condition |
|---|---|---|---|
| 57.8 | 9.4 | 60 | Balanced |
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 $/SqFt | % Δ | Units Sold | % Δ |
|---|---|---|---|---|---|---|
| 2016 | 409,900 | 294 | 729 | |||
| 2017 | 425,000 | 3.7 | 314 | 6.8 | 750 | 2.9% |
| 2018 | 425,000 | 0.0 | 319 | 1.6 | 756 | 0.8% |
| 2019 | 435,000 | 2.4 | 324 | 1.6 | 766 | 1.3% |
| 2020 | 479,000 | 10.1 | 348 | 7.4 | 720 | -6.0% |
| 2021 | 540,000 | 12.7 | 385 | 10.6 | 1,280 | 77.8% |
| 2022 | 680,000 | 25.9 | 488 | 26.8 | 854 | -33.3% |
| 2023 | 660,000 | -2.9 | 491 | 0.6 | 662 | -22.5% |
| 2024 | 653,750 | -0.9 | 495 | 0.8 | 632 | -4.5% |
| 2025 | 640,000 | -2.1 | 463 | -6.5 | 643 | 1.7% |
| *6-Mo Trend | 700,000 | 480 |
The 10-Year Trend Table shows Median Sale Price, Median Dollar per Square Foot ($/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 | 344 | 395 | 14.8 |
| Median Sale Price | $627,500 | $700,000 | 11.6 |
| Price per SqFt | $467 | $480 | 2.8 |
| Days on Market | 71 | 72 | 1.4 |
| Sale Price / List Price | 94% | 94% | 0.0 |
| SqFt Living Area | 1,400 | 1,489 | 6.4 |
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.