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Table Data - Housing Inventory: New Listing Count in Green Bay, WI (CBSA)

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Title Housing Inventory: New Listing Count in Green Bay, WI (CBSA)
Series ID NEWLISCOU24580
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 5:34 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.

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.
DATE VALUE
2016-07-01 472
2016-08-01 460
2016-09-01 352
2016-10-01 328
2016-11-01 260
2016-12-01 176
2017-01-01 234
2017-02-01 304
2017-03-01 386
2017-04-01 504
2017-05-01 570
2017-06-01 564
2017-07-01 408
2017-08-01 434
2017-09-01 400
2017-10-01 328
2017-11-01 262
2017-12-01 192
2018-01-01 220
2018-02-01 292
2018-03-01 404
2018-04-01 438
2018-05-01 502
2018-06-01 536
2018-07-01 496
2018-08-01 454
2018-09-01 376
2018-10-01 322
2018-11-01 308
2018-12-01 164
2019-01-01 266
2019-02-01 258
2019-03-01 344
2019-04-01 420
2019-05-01 538
2019-06-01 504
2019-07-01 478
2019-08-01 388
2019-09-01 398
2019-10-01 362
2019-11-01 264
2019-12-01 174
2020-01-01 242
2020-02-01 316
2020-03-01 402
2020-04-01 300
2020-05-01 356
2020-06-01 432
2020-07-01 416
2020-08-01 452
2020-09-01 410
2020-10-01 320
2020-11-01 270
2020-12-01 194
2021-01-01 256
2021-02-01 252
2021-03-01 316
2021-04-01 382
2021-05-01 432
2021-06-01 468
2021-07-01 388
2021-08-01 436
2021-09-01 380
2021-10-01 340
2021-11-01 254
2021-12-01 160
2022-01-01 176
2022-02-01 248
2022-03-01 288
2022-04-01 352
2022-05-01 446
2022-06-01 404
2022-07-01 344
2022-08-01 318
2022-09-01 280
2022-10-01 268
2022-11-01 224
2022-12-01 160
2023-01-01 162
2023-02-01 188
2023-03-01 210
2023-04-01 296
2023-05-01 318
2023-06-01 314
2023-07-01 340
2023-08-01 322
2023-09-01 308
2023-10-01 260
2023-11-01 224
2023-12-01 108
2024-01-01 182
2024-02-01 224
2024-03-01 292
2024-04-01 280
2024-05-01 378

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