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 Greenville County, SC Series ID: PENLISCOU45045 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 4:40 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 1225 2016-08-01 1149 2016-09-01 1161 2016-10-01 1072 2016-11-01 997 2016-12-01 926 2017-01-01 823 2017-02-01 1049 2017-03-01 1218 2017-04-01 1299 2017-05-01 1368 2017-06-01 1356 2017-07-01 1340 2017-08-01 1265 2017-09-01 1200 2017-10-01 1110 2017-11-01 1085 2017-12-01 963 2018-01-01 891 2018-02-01 1015 2018-03-01 1217 2018-04-01 1406 2018-05-01 1461 2018-06-01 1334 2018-07-01 1282 2018-08-01 1211 2018-09-01 1097 2018-10-01 1093 2018-11-01 1073 2018-12-01 875 2019-01-01 833 2019-02-01 1149 2019-03-01 1270 2019-04-01 1358 2019-05-01 1364 2019-06-01 1334 2019-07-01 1331 2019-08-01 1289 2019-09-01 1205 2019-10-01 1110 2019-11-01 1095 2019-12-01 911 2020-01-01 893 2020-02-01 1213 2020-03-01 1277 2020-04-01 1198 2020-05-01 1355 2020-06-01 1527 2020-07-01 1568 2020-08-01 1583 2020-09-01 1611 2020-10-01 1532 2020-11-01 1441 2020-12-01 1307 2021-01-01 1216 2021-02-01 1472 2021-03-01 1649 2021-04-01 1727 2021-05-01 1769 2021-06-01 1741 2021-07-01 1692 2021-08-01 1728 2021-09-01 1741 2021-10-01 1744 2021-11-01 1786 2021-12-01 1603 2022-01-01 1424 2022-02-01 1632 2022-03-01 1636 2022-04-01 1718 2022-05-01 1707 2022-06-01 1561 2022-07-01 1462 2022-08-01 1368 2022-09-01 1250 2022-10-01 1103 2022-11-01 963 2022-12-01 894 2023-01-01 811 2023-02-01 996 2023-03-01 1069 2023-04-01 1181 2023-05-01 1217 2023-06-01 1162 2023-07-01 1132 2023-08-01 1110 2023-09-01 1015 2023-10-01 952 2023-11-01 892 2023-12-01 819 2024-01-01 787 2024-02-01 926 2024-03-01 1080 2024-04-01 1263 2024-05-01 1319