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Table Data - Housing Inventory: New Listing Count in Brown County, WI

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Title Housing Inventory: New Listing Count in Brown County, WI
Series ID NEWLISCOU55009
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 4:31 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
2016-07-01 352
2016-08-01 352
2016-09-01 266
2016-10-01 236
2016-11-01 180
2016-12-01 148
2017-01-01 190
2017-02-01 238
2017-03-01 292
2017-04-01 424
2017-05-01 414
2017-06-01 450
2017-07-01 292
2017-08-01 338
2017-09-01 328
2017-10-01 252
2017-11-01 208
2017-12-01 152
2018-01-01 186
2018-02-01 238
2018-03-01 328
2018-04-01 378
2018-05-01 374
2018-06-01 408
2018-07-01 370
2018-08-01 384
2018-09-01 276
2018-10-01 264
2018-11-01 242
2018-12-01 116
2019-01-01 216
2019-02-01 212
2019-03-01 276
2019-04-01 338
2019-05-01 402
2019-06-01 400
2019-07-01 400
2019-08-01 324
2019-09-01 316
2019-10-01 282
2019-11-01 220
2019-12-01 132
2020-01-01 192
2020-02-01 280
2020-03-01 338
2020-04-01 246
2020-05-01 288
2020-06-01 348
2020-07-01 344
2020-08-01 368
2020-09-01 348
2020-10-01 272
2020-11-01 228
2020-12-01 160
2021-01-01 204
2021-02-01 214
2021-03-01 268
2021-04-01 304
2021-05-01 328
2021-06-01 366
2021-07-01 296
2021-08-01 344
2021-09-01 316
2021-10-01 272
2021-11-01 194
2021-12-01 130
2022-01-01 140
2022-02-01 198
2022-03-01 242
2022-04-01 276
2022-05-01 342
2022-06-01 326
2022-07-01 276
2022-08-01 254
2022-09-01 230
2022-10-01 236
2022-11-01 174
2022-12-01 132
2023-01-01 130
2023-02-01 164
2023-03-01 178
2023-04-01 224
2023-05-01 248
2023-06-01 240
2023-07-01 260
2023-08-01 276
2023-09-01 244
2023-10-01 218
2023-11-01 174
2023-12-01 84
2024-01-01 132
2024-02-01 196
2024-03-01 244
2024-04-01 238
2024-05-01 310

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