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 Florence, SC (CBSA) Series ID: PENLISCOU22500 Source: Realtor.com Release: Housing Inventory Core Metrics Seasonal Adjustment: Not Seasonally Adjusted Frequency: Monthly Units: Level Date Range: 2016-07-01 to 2024-05-01 Last Updated: 2024-06-04 5:14 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 21 2016-08-01 23 2016-09-01 24 2016-10-01 219 2016-11-01 186 2016-12-01 192 2017-01-01 184 2017-02-01 215 2017-03-01 241 2017-04-01 266 2017-05-01 286 2017-06-01 282 2017-07-01 258 2017-08-01 253 2017-09-01 230 2017-10-01 235 2017-11-01 237 2017-12-01 192 2018-01-01 185 2018-02-01 205 2018-03-01 234 2018-04-01 255 2018-05-01 263 2018-06-01 281 2018-07-01 273 2018-08-01 276 2018-09-01 250 2018-10-01 229 2018-11-01 225 2018-12-01 184 2019-01-01 195 2019-02-01 227 2019-03-01 143 2019-04-01 25 2019-05-01 26 2019-06-01 31 2019-07-01 31 2019-08-01 26 2019-09-01 24 2019-10-01 23 2019-11-01 27 2019-12-01 31 2020-01-01 28 2020-02-01 28 2020-03-01 35 2020-04-01 30 2020-05-01 24 2020-06-01 23 2020-07-01 25 2020-08-01 36 2020-09-01 25 2020-10-01 27 2020-11-01 29 2020-12-01 25 2021-01-01 28 2021-02-01 47 2021-03-01 50 2021-04-01 46 2021-05-01 52 2021-06-01 59 2021-07-01 61 2021-08-01 58 2021-09-01 67 2021-10-01 72 2021-11-01 74 2021-12-01 65 2022-01-01 61 2022-02-01 74 2022-03-01 80 2022-04-01 84 2022-05-01 75 2022-06-01 82 2022-07-01 85 2022-08-01 85 2022-09-01 76 2022-10-01 61 2022-11-01 56 2022-12-01 54 2023-01-01 46 2023-02-01 55 2023-03-01 74 2023-04-01 70 2023-05-01 78 2023-06-01 86 2023-07-01 92 2023-08-01 93 2023-09-01 83 2023-10-01 80 2023-11-01 63 2023-12-01 63 2024-01-01 58 2024-02-01 54 2024-03-01 71 2024-04-01 69 2024-05-01 68