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How to use the data: Files are structured for database use, and contain multiple metrics for different levels of geography down to zip code level. ‘Current month data’ shows figures for the latest month available, while the ‘Historical data’ contains monthly series going back in time. The ‘All Residential’ category includes data on all homes (single family home and condo/townhome) for the given level of geography. See key remarks for important info regarding data quality and usage.

Key remarks: Data in this Realtor.com library is based on the most comprehensive and accurate database of MLS-listed for-sale homes in the industry. We aggregate and analyze data from hundreds of sources and produce hundreds of metrics for multiple markets, and curate figures and trends where possible for reliability and comparability. However, as we continue to evolve our coverage and fine-tune our definitions, some data points may be too volatile or incomparable over time or across markets. This is particularly true for data in a) smaller geographies; b) markets with special or changing definitions of active inventory; c) markets with limited or partial listing; and d) coverage markets with limited or partial sales coverage. Where possible, these cases are annotated for individual metrics (see data dictionaries for more info). Also, every month, we reissue the full historical series, and past data points may change as we improve data breadth and accuracy, and/or re-state the data altogether.

Note: With the publication of the January 2024 data, metro-level data has reverted to the prior OMB metro area definitions, published March 2020, and historical data has been revised to be consistent over time. Realtor.com® plans to adopt the July 2023 vintage definitions after other data providers have, so geographies are consistent with commonly used 3rd party sources. For example, the American Community Survey plans to update with the release of its 2023 estimates.

Media Inquiries: For media inquiries, please contact our communications team at press@realtor.com

Contact : for questions or guidance on exploring the data, email us at economics@realtor.com

Weekly US data updated on September 5, 2024 with data through August 31, 2024.

National: View US Data
State:
Metro:
County:
Zip:

Monthly data updated on September 5, 2024 with data through August 2024. Next update scheduled for October 3, 2024 with data through September 2024.

Current Month Data Historical Data
National: View US Data View US Data
State: View State Data View State Data
Metro: View Metro Data View Metro Data
County: View County Data View County Data
Zip: View Zip Data View Zip Data

Monthly data updated on August 1, 2024 with data through July 2024. Next update scheduled for September 12, 2024 with data through August 2024.

National:
State:
Metro: View Metro Data
County: View County Data
Zip: View Zip Data

Please attribute to Realtor.com ® Economic Research (or shortened to Realtor.com ® in cases where space is limited) when quoting members of our team and/or using our housing data, research, and insights, inclusive of the visual elements covered in our Asset Sharing Guide, across realtor.com/research and from related content posted to news.move.com. In use on digital properties, please include a link to our data library.

Data dictionary

Comprehensive guide to data terms

Active Listing Count The count of active listings within the specified geography during the specified month. The active listing count tracks the number of for sale properties on the market, excluding pending listings where a pending status is available. This is a snapshot measure of how many active listings can be expected on any given day of the specified month.

Active Listing Count M/M The percentage change in the active listing count from the previous month.

Active Listing Count Y/Y The percentage change in the active listing count from the same month in the previous year.

Avg Listing Price The average listing price within the specified geography during the specified month.

Avg Listing Price M/M The percentage change in the average listing price from the previous month.

Avg Listing Price Y/Y The percentage change in the average listing price from the same month in the previous year.

Days on Market The median number of days property listings spend on the market within the specified geography during the specified month. Time spent on the market is defined as the time between the initial listing of a property and either its closing date or the date it is taken off the market.

Days on Market M/M The percentage change in the median days on market from the previous month.

Days on Market Y/Y The percentage change in the median days on market from the same month in the previous year.

Demand Score The demand score is an index representing a zip code, county or metro’s unique listing page viewers per property ranking compared to other zip codes, counties, or metros.

Hotness Rank The specified zip code, county, or metro area’s Hotness rank, by Hotness score, compared to all other zip codes, counties and metro areas. A rank value of 1 is considered the hottest (highest Hotness score).

Hotness Rank (Change) The change in Hotness rank from the previous month. A positive value indicates that the geography’s Hotness has decreased (moved down in ranking), and a negative value indicates that its Hotness has increased (moved up in ranking).

Hotness Rank (Prev) The specified zip code, county, or metro area’s Hotness rank in the previous month.

Hotness Rank Within CBSA In the case of a zip code or county, this metric represents the zip code or county’s Hotness rank, by Hotness score, compared to all other zip codes or counties within its metro area. A rank value of 1 is considered the hottest (highest Hotness score).

Hotness Rank Within County In the case of a zip code, this metric represents the zip code’s Hotness rank, by Hotness score, compared to all other zip codes within its county. A rank value of 1 is considered the hottest (highest Hotness score).

Hotness Score The Hotness score is an equally-weighted composite metric of a geography’s supply score and demand score.

LDP Unique Viewers Per Property (vs US) The count of viewers a typical property receives in the specified geography divided by the count of views a typical property receives in the US overall during the same month.

LDP Unique Viewers Per Property M/M The change in unique viewers a typical property receives in the specified geography from the previous month.

LDP Unique Viewers Per Property Y/Y The change in unique viewers a typical property receives in the specified geography from the same month in the previous year.

Median DOM The median number of days property listings spend on the market within the specified geography during the specified month. Time spent on the market is defined as the time between the initial listing of a property and either its closing date or the date it is taken off the market.

Median DOM (vs US) The median days on market in the specified geography divided by the median days on market for the US overall during the same month.

Median DOM M/M The change in days in the median days on market from the previous month. Median DOM M/M Perc The percentage change in the median days on market from the previous month.

Median DOM Y/Y The change in days in the median days on market from the same month in the previous year.

Median DOM Y/Y Perc The percentage change in the median days on market from the same month in the previous year.

Median List Price Per Sqft The median listing price per square foot within the specified geography during the specified month.

Median List Price Per Sqft M/M The percentage change in the median listing price per square foot from the previous month.

Median List Price Per Sqft Y/Y The percentage change in the median listing price per square foot from the same month in the previous year.

Median Listing Price The median listing price within the specified geography during the specified month.

Median Listing Price (vs US) The median listing price within the specified geography divided by the median listing price for the US overall during the same month.

Median Listing Price M/M The percentage change in the median listing price from the previous month.

Median Listing Price Y/Y The percentage change in the median listing price from the same month in the previous year.

Median Listing Sqft The median listing square feet within the specified geography during the specified month.

Median Listing Sqft M/M The percentage change in the median listing square feet from the previous month.

Median Listing Sqft Y/Y The percentage change in the median listing square feet from the same month in the previous year.

New Listing Count The count of new listings added to the market within the specified geography. The new listing count represents a typical week’s worth of new listings in a given month. The new listing count can be multiplied by the number of weeks in a month to produce a monthly new listing count.

New Listing Count M/M The percentage change in the new listing count from the previous month.

New Listing Count Y/Y The percentage change in the new listing count from the same month in the previous year.

Nielsen HH Rank The specified zip code, county, or metro area’s rank by household count compared to other zip codes, counties and metro areas. A rank value of 1 is the highest by household count.

Pending Listing Count The count of pending listings within the specified geography during the specified month, if a pending definition is available for that geography. This is a snapshot measure of how many pending listings can be expected on any given day of the specified month.

Pending Listing Count M/M The percentage change in the pending listing count from the previous month.

Pending Listing Count Y/Y The percentage change in the pending listing count from the same month in the previous year.

Pending Ratio The ratio of the pending listing count to the active listing count within the specified geography during the specified month.

Pending Ratio M/M The change in the pending ratio from the previous month. Pending Ratio Y/Y The change in the pending ratio from the same month in the previous year.

Price Decrease Count The count of listings which have had their price reduced within the specified geography. The price decrease count represents a typical week’s worth of listings which have had their price reduced in a given month. The price decrease count can be multiplied by the number of weeks in a month to produce a monthly price decrease count.

Price Decrease Count M/M The percentage change in the price decrease count from the previous month.

Price Decrease Count Y/Y The percentage change in the price decrease count from the same month in the previous year.

Price Increase Count The count of listings which have had their price increased within the specified geography. The price increase count represents a typical week’s worth of listings which have had their price increased in a given month. The price increase count can be multiplied by the number of weeks in a month to produce a monthly price increase count.

Price Increase Count M/M The percentage change in the price increase count from the previous month.

Price Increase Count Y/Y The percentage change in the price increase count from the same month in the previous year.

Quality Flag Triggered (“1”) when data values are outside of their typical range. While rare, these figures should be reviewed before reporting.

Supply Score The supply score is an index representing a zip code, county or metro’s median days on market ranking compared to other zip codes, counties, or metros.

Total Listing Count The total of both active listings and pending listings within the specified geography during the specified month. This is a snapshot measure of how many total listings can be expected on any given day of the specified month.

Total Listing Count M/M The percentage change in the total listing count from the previous month.

Total Listing Count Y/Y The percentage change in the total listing count from the same month in the previous year.