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: New Listing Count in Florence, SC (CBSA) Series ID: NEWLISCOU22500 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 5:22 PM CDT Notes: The count of new listings added to the market in a given geography during the month. 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 2016-07-01 188 2016-08-01 184 2016-09-01 166 2016-10-01 160 2016-11-01 130 2016-12-01 108 2017-01-01 158 2017-02-01 202 2017-03-01 184 2017-04-01 200 2017-05-01 228 2017-06-01 178 2017-07-01 184 2017-08-01 182 2017-09-01 184 2017-10-01 160 2017-11-01 134 2017-12-01 128 2018-01-01 178 2018-02-01 186 2018-03-01 192 2018-04-01 208 2018-05-01 218 2018-06-01 224 2018-07-01 180 2018-08-01 196 2018-09-01 156 2018-10-01 140 2018-11-01 158 2018-12-01 120 2019-01-01 150 2019-02-01 172 2019-03-01 188 2019-04-01 180 2019-05-01 184 2019-06-01 192 2019-07-01 202 2019-08-01 188 2019-09-01 178 2019-10-01 172 2019-11-01 164 2019-12-01 88 2020-01-01 166 2020-02-01 184 2020-03-01 184 2020-04-01 138 2020-05-01 160 2020-06-01 192 2020-07-01 198 2020-08-01 168 2020-09-01 170 2020-10-01 152 2020-11-01 170 2020-12-01 150 2021-01-01 188 2021-02-01 194 2021-03-01 204 2021-04-01 192 2021-05-01 172 2021-06-01 190 2021-07-01 192 2021-08-01 250 2021-09-01 186 2021-10-01 176 2021-11-01 178 2021-12-01 144 2022-01-01 156 2022-02-01 214 2022-03-01 184 2022-04-01 176 2022-05-01 234 2022-06-01 282 2022-07-01 208 2022-08-01 192 2022-09-01 232 2022-10-01 160 2022-11-01 128 2022-12-01 104 2023-01-01 134 2023-02-01 142 2023-03-01 172 2023-04-01 176 2023-05-01 192 2023-06-01 170 2023-07-01 160 2023-08-01 150 2023-09-01 144 2023-10-01 152 2023-11-01 122 2023-12-01 112 2024-01-01 168 2024-02-01 174 2024-03-01 200 2024-04-01 192