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

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Title Housing Inventory: New Listing Count in Jefferson County, WI
Series ID NEWLISCOU55055
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 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
2016-07-01 104
2016-08-01 134
2016-09-01 100
2016-10-01 88
2016-11-01 76
2016-12-01 36
2017-01-01 64
2017-02-01 98
2017-03-01 108
2017-04-01 104
2017-05-01 140
2017-06-01 130
2017-07-01 144
2017-08-01 100
2017-09-01 96
2017-10-01 82
2017-11-01 56
2017-12-01 44
2018-01-01 60
2018-02-01 78
2018-03-01 92
2018-04-01 102
2018-05-01 112
2018-06-01 116
2018-07-01 118
2018-08-01 136
2018-09-01 96
2018-10-01 66
2018-11-01 66
2018-12-01 40
2019-01-01 50
2019-02-01 66
2019-03-01 132
2019-04-01 160
2019-05-01 126
2019-06-01 132
2019-07-01 114
2019-08-01 100
2019-09-01 86
2019-10-01 72
2019-11-01 56
2019-12-01 38
2020-01-01 58
2020-02-01 84
2020-03-01 104
2020-04-01 72
2020-05-01 116
2020-06-01 108
2020-07-01 92
2020-08-01 104
2020-09-01 96
2020-10-01 84
2020-11-01 66
2020-12-01 40
2021-01-01 40
2021-02-01 64
2021-03-01 94
2021-04-01 98
2021-05-01 88
2021-06-01 88
2021-07-01 124
2021-08-01 86
2021-09-01 114
2021-10-01 100
2021-11-01 62
2021-12-01 34
2022-01-01 60
2022-02-01 50
2022-03-01 52
2022-04-01 88
2022-05-01 116
2022-06-01 120
2022-07-01 88
2022-08-01 84
2022-09-01 72
2022-10-01 60
2022-11-01 38
2022-12-01 24
2023-01-01 32
2023-02-01 44
2023-03-01 58
2023-04-01 76
2023-05-01 80
2023-06-01 78
2023-07-01 76
2023-08-01 84
2023-09-01 80
2023-10-01 66
2023-11-01 56
2023-12-01 28
2024-01-01 32
2024-02-01 46
2024-03-01 84
2024-04-01 66
2024-05-01 94

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