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Table Data - Housing Inventory: New Listing Count in Monroe County, MI

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Title Housing Inventory: New Listing Count in Monroe County, MI
Series ID NEWLISCOU26115
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 4:54 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
2016-07-01 272
2016-08-01 246
2016-09-01 172
2016-10-01 180
2016-11-01 150
2016-12-01 100
2017-01-01 134
2017-02-01 156
2017-03-01 186
2017-04-01 216
2017-05-01 230
2017-06-01 256
2017-07-01 236
2017-08-01 202
2017-09-01 220
2017-10-01 158
2017-11-01 152
2017-12-01 116
2018-01-01 118
2018-02-01 148
2018-03-01 152
2018-04-01 210
2018-05-01 196
2018-06-01 268
2018-07-01 246
2018-08-01 254
2018-09-01 244
2018-10-01 170
2018-11-01 144
2018-12-01 80
2019-01-01 132
2019-02-01 144
2019-03-01 184
2019-04-01 234
2019-05-01 214
2019-06-01 212
2019-07-01 238
2019-08-01 240
2019-09-01 222
2019-10-01 210
2019-11-01 148
2019-12-01 74
2020-01-01 148
2020-02-01 136
2020-03-01 134
2020-04-01 60
2020-05-01 232
2020-06-01 230
2020-07-01 216
2020-08-01 196
2020-09-01 212
2020-10-01 168
2020-11-01 116
2020-12-01 116
2021-01-01 128
2021-02-01 100
2021-03-01 184
2021-04-01 180
2021-05-01 204
2021-06-01 228
2021-07-01 224
2021-08-01 246
2021-09-01 186
2021-10-01 180
2021-11-01 132
2021-12-01 100
2022-01-01 112
2022-02-01 116
2022-03-01 132
2022-04-01 180
2022-05-01 204
2022-06-01 206
2022-07-01 236
2022-08-01 196
2022-09-01 160
2022-10-01 160
2022-11-01 118
2022-12-01 64
2023-01-01 92
2023-02-01 112
2023-03-01 130
2023-04-01 140
2023-05-01 156
2023-06-01 146
2023-07-01 160
2023-08-01 172
2023-09-01 144
2023-10-01 134
2023-11-01 150
2023-12-01 96
2024-01-01 100
2024-02-01 108
2024-03-01 152
2024-04-01 140
2024-05-01 146

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