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Table Data - Housing Inventory: New Listing Count in Wright County, MN

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Title Housing Inventory: New Listing Count in Wright County, MN
Series ID NEWLISCOU27171
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 4:52 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
2016-07-01 316
2016-08-01 270
2016-09-01 250
2016-10-01 236
2016-11-01 184
2016-12-01 140
2017-01-01 204
2017-02-01 266
2017-03-01 352
2017-04-01 332
2017-05-01 356
2017-06-01 346
2017-07-01 280
2017-08-01 306
2017-09-01 216
2017-10-01 222
2017-11-01 164
2017-12-01 104
2018-01-01 184
2018-02-01 232
2018-03-01 280
2018-04-01 360
2018-05-01 372
2018-06-01 416
2018-07-01 314
2018-08-01 294
2018-09-01 252
2018-10-01 224
2018-11-01 166
2018-12-01 116
2019-01-01 178
2019-02-01 200
2019-03-01 260
2019-04-01 298
2019-05-01 392
2019-06-01 396
2019-07-01 368
2019-08-01 332
2019-09-01 274
2019-10-01 234
2019-11-01 168
2019-12-01 104
2020-01-01 158
2020-02-01 212
2020-03-01 388
2020-04-01 286
2020-05-01 376
2020-06-01 306
2020-07-01 344
2020-08-01 340
2020-09-01 352
2020-10-01 352
2020-11-01 164
2020-12-01 148
2021-01-01 220
2021-02-01 206
2021-03-01 304
2021-04-01 308
2021-05-01 328
2021-06-01 398
2021-07-01 304
2021-08-01 324
2021-09-01 306
2021-10-01 276
2021-11-01 208
2021-12-01 136
2022-01-01 180
2022-02-01 292
2022-03-01 312
2022-04-01 332
2022-05-01 368
2022-06-01 358
2022-07-01 252
2022-08-01 260
2022-09-01 246
2022-10-01 196
2022-11-01 158
2022-12-01 120
2023-01-01 138
2023-02-01 162
2023-03-01 212
2023-04-01 264
2023-05-01 300
2023-06-01 284
2023-07-01 248
2023-08-01 220
2023-09-01 216
2023-10-01 192
2023-11-01 148
2023-12-01 116
2024-01-01 144
2024-02-01 226
2024-03-01 208
2024-04-01 256
2024-05-01 260

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