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 Charleston, WV (CBSA) Series ID: PENLISCOU16620 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 5:17 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 2016-07-01 323 2016-08-01 347 2016-09-01 318 2016-10-01 304 2016-11-01 272 2016-12-01 246 2017-01-01 225 2017-02-01 273 2017-03-01 277 2017-04-01 321 2017-05-01 334 2017-06-01 341 2017-07-01 333 2017-08-01 311 2017-09-01 306 2017-10-01 280 2017-11-01 268 2017-12-01 257 2018-01-01 228 2018-02-01 261 2018-03-01 271 2018-04-01 327 2018-05-01 356 2018-06-01 323 2018-07-01 306 2018-08-01 325 2018-09-01 298 2018-10-01 303 2018-11-01 276 2018-12-01 240 2019-01-01 248 2019-02-01 251 2019-03-01 286 2019-04-01 326 2019-05-01 334 2019-06-01 325 2019-07-01 320 2019-08-01 342 2019-09-01 346 2019-10-01 345 2019-11-01 326 2019-12-01 250 2020-01-01 237 2020-02-01 267 2020-03-01 294 2020-04-01 280 2020-05-01 327 2020-06-01 369 2020-07-01 389 2020-08-01 424 2020-09-01 421 2020-10-01 408 2020-11-01 385 2020-12-01 343 2021-01-01 301 2021-02-01 317 2021-03-01 349 2021-04-01 392 2021-05-01 416 2021-06-01 430 2021-07-01 424 2021-08-01 390 2021-09-01 404 2021-10-01 389 2021-11-01 409 2021-12-01 362 2022-01-01 325 2022-02-01 324 2022-03-01 311 2022-04-01 314 2022-05-01 318 2022-06-01 315 2022-07-01 309 2022-08-01 301 2022-09-01 291 2022-10-01 283 2022-11-01 265 2022-12-01 226 2023-01-01 200 2023-02-01 226 2023-03-01 236 2023-04-01 257 2023-05-01 251 2023-06-01 252 2023-07-01 260 2023-08-01 287 2023-09-01 285 2023-10-01 250 2023-11-01 241 2023-12-01 198 2024-01-01 177 2024-02-01 225 2024-03-01 245 2024-04-01 284 2024-05-01 312