NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: Housing Inventory: Active Listing Count in Greensboro-High Point, NC (CBSA) Series ID: ACTLISCOU24660 Source: Realtor.com Release: Housing Inventory Core Metrics Seasonal Adjustment: Not Seasonally Adjusted Frequency: Monthly Units: Level Date Range: 2016-07-01 to 2024-04-01 Last Updated: 2024-05-02 4:50 PM CDT Notes: The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings). With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). DATE VALUE 2016-07-01 3488 2016-08-01 3480 2016-09-01 3497 2016-10-01 3442 2016-11-01 3365 2016-12-01 3127 2017-01-01 2913 2017-02-01 2765 2017-03-01 2731 2017-04-01 2795 2017-05-01 2862 2017-06-01 2750 2017-07-01 2776 2017-08-01 2783 2017-09-01 2727 2017-10-01 2729 2017-11-01 2668 2017-12-01 2573 2018-01-01 2356 2018-02-01 2280 2018-03-01 2262 2018-04-01 2245 2018-05-01 2351 2018-06-01 2404 2018-07-01 2400 2018-08-01 2095 2018-09-01 2086 2018-10-01 2110 2018-11-01 2085 2018-12-01 1992 2019-01-01 1812 2019-02-01 1712 2019-03-01 1670 2019-04-01 1680 2019-05-01 1785 2019-06-01 1865 2019-07-01 1884 2019-08-01 1917 2019-09-01 1924 2019-10-01 1900 2019-11-01 1836 2019-12-01 1614 2020-01-01 1461 2020-02-01 1362 2020-03-01 1353 2020-04-01 1416 2020-05-01 1374 2020-06-01 1256 2020-07-01 1138 2020-08-01 1069 2020-09-01 996 2020-10-01 968 2020-11-01 924 2020-12-01 912 2021-01-01 732 2021-02-01 632 2021-03-01 549 2021-04-01 549 2021-05-01 606 2021-06-01 674 2021-07-01 745 2021-08-01 856 2021-09-01 908 2021-10-01 895 2021-11-01 813 2021-12-01 678 2022-01-01 550 2022-02-01 471 2022-03-01 465 2022-04-01 485 2022-05-01 644 2022-06-01 773 2022-07-01 911 2022-08-01 942 2022-09-01 970 2022-10-01 1033 2022-11-01 1077 2022-12-01 1033 2023-01-01 903 2023-02-01 828 2023-03-01 750 2023-04-01 769 2023-05-01 837 2023-06-01 838 2023-07-01 843 2023-08-01 913 2023-09-01 942 2023-10-01 1083 2023-11-01 1132 2023-12-01 1160 2024-01-01 1109 2024-02-01 1058 2024-03-01 1037 2024-04-01 1062