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Table Data - Housing Inventory: Price Reduced Count in St. Croix County, WI

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Title Housing Inventory: Price Reduced Count in St. Croix County, WI
Series ID PRIREDCOU55109
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 5:28 PM CDT
Notes The count of listings which have had their price reduced in a given market 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
2016-07-01 156
2016-08-01 176
2016-09-01 158
2016-10-01 156
2016-11-01 94
2016-12-01 92
2017-01-01 80
2017-02-01 84
2017-03-01 104
2017-04-01 120
2017-05-01 140
2017-06-01 178
2017-07-01 156
2017-08-01 156
2017-09-01 124
2017-10-01 104
2017-11-01 70
2017-12-01 48
2018-01-01 42
2018-02-01 70
2018-03-01 72
2018-04-01 94
2018-05-01 112
2018-06-01 120
2018-07-01 148
2018-08-01 144
2018-09-01 164
2018-10-01 128
2018-11-01 116
2018-12-01 56
2019-01-01 58
2019-02-01 66
2019-03-01 64
2019-04-01 46
2019-05-01 66
2019-06-01 120
2019-07-01 96
2019-08-01 96
2019-09-01 96
2019-10-01 94
2019-11-01 60
2019-12-01 20
2020-01-01 32
2020-02-01 40
2020-03-01 56
2020-04-01 48
2020-05-01 52
2020-06-01 60
2020-07-01 64
2020-08-01 52
2020-09-01 44
2020-10-01 56
2020-11-01 40
2020-12-01 18
2021-01-01 12
2021-02-01 8
2021-03-01 8
2021-04-01 14
2021-05-01 20
2021-06-01 30
2021-07-01 52
2021-08-01 58
2021-09-01 66
2021-10-01 60
2021-11-01 26
2021-12-01 16
2022-01-01 8
2022-02-01 14
2022-03-01 18
2022-04-01 24
2022-05-01 44
2022-06-01 54
2022-07-01 60
2022-08-01 106
2022-09-01 78
2022-10-01 92
2022-11-01 72
2022-12-01 24
2023-01-01 24
2023-02-01 26
2023-03-01 14
2023-04-01 28
2023-05-01 46
2023-06-01 40
2023-07-01 56
2023-08-01 58
2023-09-01 96
2023-10-01 108
2023-11-01 60
2023-12-01 24
2024-01-01 28
2024-02-01 32
2024-03-01 28
2024-04-01 52
2024-05-01 60

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