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Local Market Watch
Waterfront 
Market Intelligence Series

Northeast Broward County Oceanfront Condos

 - August 2026

Market Segment: Oceanfront Condos (excluding Condo/Hotels) in Fort Lauderdale, Pompano Beach, Lauderdale-by-the-Sea, Hillsboro Beach and Deerfield Beach.
Executive Summary:

Northeast Broward County oceanfront condos continue to show strengthening market conditions, with 517 active listings, 8.8 months of supply, and a market index of 64 as of September 9, 2026, placing the segment in seller-advantage territory. The trailing six-month data reinforces that improvement, with 405 sales from March through August, up 15.4% year over year, while median sale price increased 9.4% to $700,000 and price per square foot rose 6.9% to $499. Market velocity remained relatively steady at 74 days on market, while sellers received 95% of list price compared with 94% a year earlier. Longer-term pricing trends are also encouraging, as the latest six-month median price and $499 per square foot are now above the previous annual highs shown in the 10-year history, providing further evidence of renewed pricing momentum.

Local Inventory Analysis

Sales per Month Months of Supply *Market Index Market Condition
58.9 8.8 64 Seller Advantage

64

Waterfront 
Market Index

"Seller Advantage"

Buyer's
Market

Balanced
Market

Seller's
Market

*The Market Index is calculated using a proprietary methodology and offers consumers a concise view of overall market conditions.

 

Trailing 6 Month Analysis

*The trailing six-month analysis is the most statistically reliable method for evaluating sales activity in smaller local market segments.

 

Median Sale Price and Sales Volume: 10-Year Trends

*6-Mo Trend:
Represents the median sale price per square foot over the previous six months.
09/09/2026

**Data compiled, analyzed and curated by By The Sea Realty. Source: Beaches MLS. Market Index methodology is proprietary.

 

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Rich Barnhart
954-980-7795
Oceanfront Condo Specialist

Local Inventory Analysis

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. NOTE: Waterfront markets tend to carry more inventory. Note: The normal benchmark for Months of Supply varies by market, and waterfront markets tend to carry more inventory on average.

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.

Trailing 6-Month Analysis

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.

Median Sale Price & Sales Volume: 10 Year Trends

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.