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

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Title Housing Inventory: New Listing Count in Racine, WI (CBSA)
Series ID NEWLISCOU39540
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 5:06 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
2016-07-01 288
2016-08-01 314
2016-09-01 260
2016-10-01 256
2016-11-01 194
2016-12-01 116
2017-01-01 172
2017-02-01 218
2017-03-01 278
2017-04-01 296
2017-05-01 304
2017-06-01 324
2017-07-01 284
2017-08-01 288
2017-09-01 252
2017-10-01 206
2017-11-01 184
2017-12-01 120
2018-01-01 156
2018-02-01 146
2018-03-01 264
2018-04-01 240
2018-05-01 352
2018-06-01 288
2018-07-01 310
2018-08-01 316
2018-09-01 280
2018-10-01 248
2018-11-01 194
2018-12-01 136
2019-01-01 158
2019-02-01 160
2019-03-01 240
2019-04-01 328
2019-05-01 332
2019-06-01 308
2019-07-01 306
2019-08-01 280
2019-09-01 280
2019-10-01 280
2019-11-01 176
2019-12-01 102
2020-01-01 156
2020-02-01 196
2020-03-01 268
2020-04-01 228
2020-05-01 252
2020-06-01 298
2020-07-01 296
2020-08-01 332
2020-09-01 316
2020-10-01 264
2020-11-01 196
2020-12-01 162
2021-01-01 164
2021-02-01 156
2021-03-01 210
2021-04-01 228
2021-05-01 356
2021-06-01 318
2021-07-01 316
2021-08-01 358
2021-09-01 324
2021-10-01 248
2021-11-01 192
2021-12-01 100
2022-01-01 128
2022-02-01 136
2022-03-01 234
2022-04-01 240
2022-05-01 288
2022-06-01 370
2022-07-01 296
2022-08-01 266
2022-09-01 240
2022-10-01 224
2022-11-01 110
2022-12-01 112
2023-01-01 134
2023-02-01 138
2023-03-01 162
2023-04-01 188
2023-05-01 216
2023-06-01 248
2023-07-01 204
2023-08-01 194
2023-09-01 212
2023-10-01 176
2023-11-01 174
2023-12-01 100
2024-01-01 110
2024-02-01 120
2024-03-01 148
2024-04-01 188
2024-05-01 230

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