Title: Housing Inventory: New Listing Count in South Dakota Series ID: NEWLISCOUSD Source: Realtor.com Release: Housing Inventory Core Metrics Seasonal Adjustment: Not Seasonally Adjusted Frequency: Monthly Units: Level Date Range: 2016-07-01 to 2024-03-01 Last Updated: 2024-04-04 5:28 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 1172 2016-08-01 1100 2016-09-01 1014 2016-10-01 860 2016-11-01 726 2016-12-01 460 2017-01-01 640 2017-02-01 794 2017-03-01 1086 2017-04-01 1260 2017-05-01 1348 2017-06-01 1348 2017-07-01 1344 2017-08-01 1272 2017-09-01 1072 2017-10-01 996 2017-11-01 792 2017-12-01 584 2018-01-01 774 2018-02-01 842 2018-03-01 1012 2018-04-01 1206 2018-05-01 1404 2018-06-01 1292 2018-07-01 1314 2018-08-01 1170 2018-09-01 1116 2018-10-01 988 2018-11-01 762 2018-12-01 564 2019-01-01 746 2019-02-01 636 2019-03-01 888 2019-04-01 1298 2019-05-01 1558 2019-06-01 1492 2019-07-01 1444 2019-08-01 1340 2019-09-01 1224 2019-10-01 1128 2019-11-01 756 2019-12-01 570 2020-01-01 722 2020-02-01 816 2020-03-01 1254 2020-04-01 1154 2020-05-01 1316 2020-06-01 1246 2020-07-01 1204 2020-08-01 1088 2020-09-01 1076 2020-10-01 848 2020-11-01 720 2020-12-01 526 2021-01-01 676 2021-02-01 714 2021-03-01 1046 2021-04-01 1158 2021-05-01 1180 2021-06-01 1342 2021-07-01 1200 2021-08-01 1156 2021-09-01 1016 2021-10-01 928 2021-11-01 760 2021-12-01 538 2022-01-01 612 2022-02-01 794 2022-03-01 876 2022-04-01 1052 2022-05-01 1266 2022-06-01 1204 2022-07-01 1228 2022-08-01 1056 2022-09-01 966 2022-10-01 820 2022-11-01 616 2022-12-01 460 2023-01-01 514 2023-02-01 486 2023-03-01 770 2023-04-01 1036 2023-05-01 1308 2023-06-01 1180 2023-07-01 1112 2023-08-01 958 2023-09-01 972 2023-10-01 826 2023-11-01 736 2023-12-01 464 2024-01-01 602 2024-02-01 692 2024-03-01 908