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: Pending Listing Count in Orange County, CA Series ID: PENLISCOU6059 Source: Realtor.com Release: Housing Inventory Core Metrics Seasonal Adjustment: Not Seasonally Adjusted Frequency: Monthly Units: Level Date Range: 2016-07-01 to 2024-02-01 Last Updated: 2024-03-21 1:44 PM CDT Notes: The count of pending listings in a given market during the specified month, if a pending definition is available for that geography. 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 2390 2016-08-01 2411 2016-09-01 2275 2016-10-01 2135 2016-11-01 1950 2016-12-01 1694 2017-01-01 1487 2017-02-01 1846 2017-03-01 2057 2017-04-01 2217 2017-05-01 2248 2017-06-01 2214 2017-07-01 2131 2017-08-01 2147 2017-09-01 1953 2017-10-01 1816 2017-11-01 1761 2017-12-01 1462 2018-01-01 1185 2018-02-01 1673 2018-03-01 1794 2018-04-01 1871 2018-05-01 1931 2018-06-01 1902 2018-07-01 1789 2018-08-01 3113 2018-09-01 2870 2018-10-01 2742 2018-11-01 2452 2018-12-01 2094 2019-01-01 1842 2019-02-01 2451 2019-03-01 3014 2019-04-01 3457 2019-05-01 3586 2019-06-01 3491 2019-07-01 3439 2019-08-01 3382 2019-09-01 3248 2019-10-01 3176 2019-11-01 3066 2019-12-01 2663 2020-01-01 2253 2020-02-01 3024 2020-03-01 3128 2020-04-01 1917 2020-05-01 2134 2020-06-01 3255 2020-07-01 3906 2020-08-01 4283 2020-09-01 4364 2020-10-01 4243 2020-11-01 3836 2020-12-01 3462 2021-01-01 2925 2021-02-01 3554 2021-03-01 3885 2021-04-01 3916 2021-05-01 3948 2021-06-01 3885 2021-07-01 3632 2021-08-01 3572 2021-09-01 3438 2021-10-01 3286 2021-11-01 2979 2021-12-01 2519 2022-01-01 1951 2022-02-01 2372 2022-03-01 2719 2022-04-01 2705 2022-05-01 2606 2022-06-01 2419 2022-07-01 2136 2022-08-01 2223 2022-09-01 2148 2022-10-01 1769 2022-11-01 1595 2022-12-01 1455 2023-01-01 1229 2023-02-01 1747 2023-03-01 1882 2023-04-01 1997 2023-05-01 2015 2023-06-01 1973 2023-07-01 1937 2023-08-01 1953 2023-09-01 1833 2023-10-01 1715 2023-11-01 1578 2023-12-01 1445 2024-01-01 1299 2024-02-01 1695