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: Active Listing Count in Clinton County, NY Series ID: ACTLISCOU36019 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 4:52 PM CDT Notes: The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings). 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 2016-07-01 396 2016-08-01 365 2016-09-01 349 2016-10-01 322 2016-11-01 286 2016-12-01 258 2017-01-01 236 2017-02-01 240 2017-03-01 244 2017-04-01 244 2017-05-01 263 2017-06-01 276 2017-07-01 307 2017-08-01 327 2017-09-01 317 2017-10-01 306 2017-11-01 289 2017-12-01 262 2018-01-01 225 2018-02-01 218 2018-03-01 215 2018-04-01 229 2018-05-01 246 2018-06-01 275 2018-07-01 283 2018-08-01 280 2018-09-01 263 2018-10-01 258 2018-11-01 232 2018-12-01 203 2019-01-01 176 2019-02-01 168 2019-03-01 164 2019-04-01 162 2019-05-01 192 2019-06-01 230 2019-07-01 261 2019-08-01 271 2019-09-01 266 2019-10-01 255 2019-11-01 230 2019-12-01 191 2020-01-01 168 2020-02-01 155 2020-03-01 167 2020-04-01 170 2020-05-01 150 2020-06-01 157 2020-07-01 164 2020-08-01 163 2020-09-01 168 2020-10-01 162 2020-11-01 160 2020-12-01 148 2021-01-01 130 2021-02-01 113 2021-03-01 91 2021-04-01 84 2021-05-01 82 2021-06-01 101 2021-07-01 106 2021-08-01 105 2021-09-01 101 2021-10-01 101 2021-11-01 99 2021-12-01 87 2022-01-01 88 2022-02-01 69 2022-03-01 65 2022-04-01 63 2022-05-01 80 2022-06-01 112 2022-07-01 126 2022-08-01 119 2022-09-01 110 2022-10-01 110 2022-11-01 98 2022-12-01 86 2023-01-01 85 2023-02-01 85 2023-03-01 81 2023-04-01 77 2023-05-01 89 2023-06-01 99 2023-07-01 118 2023-08-01 124 2023-09-01 117 2023-10-01 129 2023-11-01 113 2023-12-01 109 2024-01-01 99 2024-02-01 94 2024-03-01 87 2024-04-01 86 2024-05-01 91