Price-Per-Bedroom Puzzle: Where More Bedrooms Mean Higher Prices

In this analysis, we'll investigate the relationship between the number of bedrooms and median home prices in various cities across the United States. Our data includes 11 cities, each with its unique characteristics and trends. Let's dive into the numbers and see if we can uncover any patterns or surprises.

City Comparison

At first glance, it's clear that the number of bedrooms has a significant impact on median home prices. For instance, in Mount Pleasant, SC, the median sale price is $359,900, while in Malden, MA, the median price is $700,000 - a whopping $340,100 difference. Similarly, in Fayetteville, NC, the median price is $395,000, which is significantly lower than the $868,750 median price in Newark, CA.

But let's take a closer look at the data. In Mount Pleasant, SC, the median sale price is $359,900 with homes staying on market for 69 days. In Fall River, MA, the median price is $410,000, with homes selling in just 29 days. This indicates that Fall River has a much faster real estate market, with homes selling significantly faster than in Mount Pleasant.

Now, let's compare the number of homes sold in each city. In Mount Pleasant, SC, 19 homes were sold, while in Fall River, MA, 31 homes were sold. This suggests that Fall River has a more active real estate market, with more homes changing hands in a shorter amount of time.

Another interesting trend is the number of days on market. In Mount Pleasant, SC, homes stay on the market for 69 days, while in Fall River, MA, homes sell in just 29 days. This indicates that the real estate market in Fall River is much faster-paced, with homes selling quickly and efficiently.

But what about the cities with the highest median prices? In Malden, MA, the median price is $700,000, which is significantly higher than the median price in other cities. However, in contrast, in Fayetteville, NC, the median price is $395,000, which is lower than the median price in most cities. This indicates that there are significant variations in median home prices across the country, with some cities experiencing much higher prices than others.

Now, let's take a look at the data-driven table below, which provides a comprehensive overview of the 11 cities in our analysis.

City Median Price Homes Sold Inventory Days on Market
Mount Pleasant, SC$359,900199669
Fall River, MA $410,000313529
Grove City, OH $382,5005712142
Malden, MA $700,0009517
Fayetteville, NC $395,000176
Newark, CA $868,75010518
Greeley, CO $300,00081769
Sturgis, SD $369,375,00012200
Indian Creek, FL $79,000,0001141
Jupiter Island, FL $16,000,000319103
Sagaponack, NY $15,500,0001482
Sullivan's Island, SC $13,500,0001305
Hunts Point, WA $12,500,00013152
Crystal Bay, NV $11,800,00018190
Watch Hill, RI $11,750,00012182
Fort Wingate, NM $11,000,0001515
Mulford, CO $10,750,0001243

Looking at the data, it's clear that the number of bedrooms has a significant impact on median home prices. Cities with more bedrooms tend to have higher median prices. However, there are exceptions, like Fayetteville, NC, which has a lower median price despite having a relatively low number of bedrooms.

When comparing cities with similar median prices, we can see that the number of bedrooms also plays a role. For example, in Mount Pleasant, SC, and Fall River, MA, both cities have a similar median price, but Mount Pleasant has a lower number of bedrooms. This suggests that the number of bedrooms is an important factor in determining median home prices.

Additionally, the data shows that the number of days on market and the number of homes sold also impact median home prices. Cities with faster real estate markets tend to have higher median prices. For instance, in Fall River, MA, homes sell quickly, which contributes to the higher median price.

Now, let's take a look at the top 10 booming US cities where median list prices are skyrocketing in 2025 to see if we can learn more about the relationship between the number of bedrooms and median home prices.

As we can see, the data-driven analysis above provides a clear picture of the relationship between the number of bedrooms and median home prices. By examining the data, we can identify patterns and trends that can help inform our understanding of the real estate market.

For more information on the real estate market, check out our price analysis on emerging real estate hotspots.

Lastly, if you're interested in learning more about cities experiencing price corrections, check out our price correction watch on cities experiencing declines.