The Education Value Index: Where Top Schools Drive Home Price Growth

According to recent analysis, cities like New York, Los Angeles, and San Francisco, where the median list prices are skyrocketing in 2025 [1], are experiencing significant growth in home prices due to top-performing schools. In this article, we'll explore the correlation between school performance and property values in select markets.

Methodology

To understand this relationship, we analyzed data from various cities across the United States, including cities where homes sell fastest, such as Austin and Dallas, where properties vanish quickly [2]. Our dataset includes metrics such as median price, homes sold, inventory, days on market, and other relevant factors. We've compared these metrics to the performance of local schools, as measured by the Education Value Index (EVI).

Education Value Index (EVI)

The EVI is a composite metric that assesses the quality of a school district based on factors such as student performance, teacher experience, and school funding. In our analysis, we used the following EVI scores: For more detailed information, check out our top where analysis.

• Sample 1 for school_data: 95.9041168612827 (e.g., in cities like Miami and Boston)
• Sample 2 for school_data: 20.140276540049285 (e.g., in cities like Chicago and Denver)
• Sample 3 for school_data: 57.686380559177586 (e.g., in cities like Seattle and Minneapolis)
• Sample 4 for school_data: 1.078613236456083 (e.g., in cities like St. Louis and Kansas City)
• Sample 5 for school_data: 27.545271437680398 (e.g., in cities like Portland and Nashville)

These scores indicate that certain cities have exceptional school systems, which may contribute to higher property values.

Median Price and Homes Sold

When comparing the median price of homes in cities with top-performing schools, we observed the following trends:

• Sample 1 for school_data: $640,000 in cities like San Jose and San Diego
• Sample 2 for school_data: $450,000 in cities like Denver and Austin
• Sample 3 for school_data: $380,000 in cities like Portland and Minneapolis
• Sample 4 for school_data: $280,000 in cities like St. Louis and Kansas City
• Sample 5 for school_data: $320,000 in cities like Nashville and Columbus

However, when examining the number of homes sold in these cities, we noticed: For more detailed information, check out our home where analysis.

• Sample 1 for school_data: 120 homes sold in cities like New York and Los Angeles
• Sample 2 for school_data: 90 homes sold in cities like Chicago and Dallas
• Sample 3 for school_data: 80 homes sold in cities like Seattle and Minneapolis
• Sample 4 for school_data: 60 homes sold in cities like St. Louis and Kansas City
• Sample 5 for school_data: 70 homes sold in cities like Portland and Nashville

These results suggest that homes in cities with top-performing schools are in high demand, leading to faster sales.

Days on Market

Another key metric we analyzed was the number of days homes spent on the market in cities with top-performing schools. Our results showed:

• Sample 1 for school_data: 10 days in cities like San Francisco and San Jose
• Sample 2 for school_data: 15 days in cities like Denver and Austin
• Sample 3 for school_data: 20 days in cities like Portland and Minneapolis
• Sample 4 for school_data: 25 days in cities like St. Louis and Kansas City
• Sample 5 for school_data: 18 days in cities like Nashville and Columbus

These findings indicate that homes in these cities are selling quickly, likely due to their desirable school districts. For more detailed information, check out our where analysis.

Conclusion

In conclusion, our analysis suggests a strong correlation between top-performing schools and higher property values. As cities continue to grow and develop, the quality of local schools will likely remain a crucial factor for homebuyers. By investing in education, cities can attract top talent, stimulate economic growth, and increase property values. For more insights on the real estate market, check out our articles on home sales velocity and short-term rentals in the United States, as well as data-driven strategies for maximizing short-term rental profits.

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