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Table Data - Housing Inventory: New Listing Count in DeKalb County, IL

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Title Housing Inventory: New Listing Count in DeKalb County, IL
Series ID NEWLISCOU17037
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 4:59 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
2016-07-01 132
2016-08-01 144
2016-09-01 124
2016-10-01 96
2016-11-01 100
2016-12-01 68
2017-01-01 96
2017-02-01 124
2017-03-01 148
2017-04-01 188
2017-05-01 174
2017-06-01 160
2017-07-01 160
2017-08-01 140
2017-09-01 140
2017-10-01 126
2017-11-01 86
2017-12-01 72
2018-01-01 90
2018-02-01 118
2018-03-01 164
2018-04-01 192
2018-05-01 174
2018-06-01 144
2018-07-01 156
2018-08-01 168
2018-09-01 144
2018-10-01 118
2018-11-01 100
2018-12-01 56
2019-01-01 86
2019-02-01 112
2019-03-01 168
2019-04-01 186
2019-05-01 198
2019-06-01 172
2019-07-01 174
2019-08-01 104
2019-09-01 108
2019-10-01 122
2019-11-01 92
2019-12-01 46
2020-01-01 74
2020-02-01 112
2020-03-01 160
2020-04-01 88
2020-05-01 112
2020-06-01 172
2020-07-01 122
2020-08-01 152
2020-09-01 134
2020-10-01 124
2020-11-01 86
2020-12-01 58
2021-01-01 76
2021-02-01 94
2021-03-01 118
2021-04-01 114
2021-05-01 180
2021-06-01 134
2021-07-01 164
2021-08-01 140
2021-09-01 138
2021-10-01 124
2021-11-01 80
2021-12-01 72
2022-01-01 68
2022-02-01 78
2022-03-01 110
2022-04-01 152
2022-05-01 128
2022-06-01 146
2022-07-01 128
2022-08-01 130
2022-09-01 116
2022-10-01 92
2022-11-01 68
2022-12-01 40
2023-01-01 58
2023-02-01 62
2023-03-01 76
2023-04-01 96
2023-05-01 110
2023-06-01 102
2023-07-01 112
2023-08-01 84
2023-09-01 96
2023-10-01 100
2023-11-01 72
2023-12-01 36
2024-01-01 40
2024-02-01 60
2024-03-01 100
2024-04-01 104
2024-05-01 108

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