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 Rochester, MN (CBSA) Series ID: PENLISCOU40340 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 5:13 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 2016-07-01 585 2016-08-01 539 2016-09-01 471 2016-10-01 429 2016-11-01 373 2016-12-01 296 2017-01-01 282 2017-02-01 317 2017-03-01 432 2017-04-01 621 2017-05-01 705 2017-06-01 639 2017-07-01 528 2017-08-01 475 2017-09-01 418 2017-10-01 395 2017-11-01 346 2017-12-01 264 2018-01-01 244 2018-02-01 298 2018-03-01 404 2018-04-01 516 2018-05-01 573 2018-06-01 535 2018-07-01 442 2018-08-01 432 2018-09-01 396 2018-10-01 371 2018-11-01 312 2018-12-01 276 2019-01-01 282 2019-02-01 232 2019-03-01 327 2019-04-01 474 2019-05-01 546 2019-06-01 512 2019-07-01 429 2019-08-01 427 2019-09-01 389 2019-10-01 350 2019-11-01 307 2019-12-01 251 2020-01-01 238 2020-02-01 342 2020-03-01 409 2020-04-01 459 2020-05-01 502 2020-06-01 545 2020-07-01 529 2020-08-01 484 2020-09-01 514 2020-10-01 432 2020-11-01 373 2020-12-01 284 2021-01-01 252 2021-02-01 306 2021-03-01 396 2021-04-01 560 2021-05-01 650 2021-06-01 587 2021-07-01 478 2021-08-01 477 2021-09-01 431 2021-10-01 375 2021-11-01 348 2021-12-01 289 2022-01-01 235 2022-02-01 330 2022-03-01 393 2022-04-01 536 2022-05-01 563 2022-06-01 505 2022-07-01 396 2022-08-01 391 2022-09-01 348 2022-10-01 304 2022-11-01 257 2022-12-01 224 2023-01-01 202 2023-02-01 266 2023-03-01 271 2023-04-01 419 2023-05-01 502 2023-06-01 445 2023-07-01 360 2023-08-01 353 2023-09-01 325 2023-10-01 293 2023-11-01 259 2023-12-01 252 2024-01-01 250 2024-02-01 266 2024-03-01 341 2024-04-01 433