Data Center

Home Prices, Sales & Inventory

How it Works: Select the tab for the type of data that you’re looking for. Under each tab, you can filter results by metropolitan area, property type, month-over-month change, year-over-year change, and the time period. Each visualization will change with your selections. After making your selections, click on the visualization and then hit the download button on the bottom right corner to get the data shown. Alternatively, you can select the “Download” tab and download all of the data that we have available. Check out this video for more information on how to use the Redfin Data Center. Contact press@redfin.com if you have questions.

Read More

Housing Market Demand

How it Works: The Redfin Housing Demand Index is based on the number of customers requesting tours and making purchase offers in 15 major metro areas. The Tours and Offers Indices are based on customer demand in these same 15 Redfin markets. The Demand Index is seasonally adjusted, with 100 representing the baseline level of homebuyer demand posted in January 2014. All periods thereafter can be compared to one another in a relative sense. For example, a Demand Index reading of 116 in January 2015 implies that homebuyer demand in that month was 16 percent higher than it was in January 2014. Similarly, a level of 120 in June 2018 means that demand was 20 percent higher than it was in January 2014, and roughly 3 percent higher than in January 2015. More information on how to use the Redfin Data Center is available in this video.

Read More

Migration

Find Your City:
Below is an interactive tool to see where people are looking to move and where people are coming from for 80 U.S. metros. Find the city you’re interest in by clicking on the drop down menu:

Read More

New Construction

Redfin is making available below a downloadable set of monthly data on new construction prices, sales, inventory and other new residential market statistics. Redfin is also releasing building permit data—provided by the Census—allowing users to analyze average construction costs and compare the number of units built per capita across regions. Both datasets are available for download at the National, Metro, and County Levels since 2012.

Read More

Compete Score

Fremont and San Jose, Calif. and Seattle are the most competitive U.S. cities for homebuyers. This is according to a ranking based on Redfin Compete Score, a newly launched feature that rates housing competition in cities and neighborhoods to help buyers understand what it takes to win a home and to help sellers create a smart listing strategy. Like Redfin’s Walk ScoreⓇ, Compete Score ranges from 0 to 100, with 100 being the most competitive.

Read More

Walk Score Data

Meet the Experts

devurbaninfluence-com

Glenn Kelman

Chief Executive Officer
Follow Glenn

Glenn is the CEO of Redfin. Prior to joining Redfin, he was a co-founder of Plumtree Software, a Sequoia-backed, publicly traded company that created the enterprise portal software market. Glenn was raised in Seattle and graduated from the University of California, Berkeley. Redfin is a full-service real estate brokerage that uses modern technology to make clients smarter and faster. For more information about working with a Redfin real estate agent to buy or sell a home, visit our Why Redfin page.

devurbaninfluence-com

Taylor Marr

Senior Economist

Taylor is a senior economist, data scientist, and visualization whiz on the research team at Redfin. He is passionate about cities and housing. Taylor went to graduate school for economics in Berlin, where he focused on behavioral economics and the housing market crash. Redfin is a real estate brokerage with agents across the United States. For more information about working with a Redfin agent to buy or sell a home, visit Redfin.com/why-redfin.

devurbaninfluence-com

Sheharyar Bokhari

Schery's research focuses on better understanding the housing market for audiences inside and outside of Redfin. Prior to joining Redfin, he created commercial real estate sale and rental price indices at the MIT Center for Real Estate. He has also done research on consumer decisions and behavioral biases in real estate pricing. Schery holds a PhD from MIT in Urban and Real Estate Studies.