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Table Data - Housing Inventory: New Listing Count in Florence County, SC

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Title Housing Inventory: New Listing Count in Florence County, SC
Series ID NEWLISCOU45041
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 4:40 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
2016-07-01 152
2016-08-01 150
2016-09-01 118
2016-10-01 100
2016-11-01 108
2016-12-01 68
2017-01-01 114
2017-02-01 142
2017-03-01 140
2017-04-01 140
2017-05-01 168
2017-06-01 154
2017-07-01 128
2017-08-01 126
2017-09-01 120
2017-10-01 124
2017-11-01 108
2017-12-01 92
2018-01-01 136
2018-02-01 142
2018-03-01 152
2018-04-01 154
2018-05-01 172
2018-06-01 156
2018-07-01 148
2018-08-01 156
2018-09-01 116
2018-10-01 106
2018-11-01 118
2018-12-01 88
2019-01-01 106
2019-02-01 134
2019-03-01 152
2019-04-01 142
2019-05-01 138
2019-06-01 148
2019-07-01 134
2019-08-01 132
2019-09-01 136
2019-10-01 136
2019-11-01 120
2019-12-01 70
2020-01-01 120
2020-02-01 140
2020-03-01 136
2020-04-01 110
2020-05-01 140
2020-06-01 164
2020-07-01 148
2020-08-01 128
2020-09-01 120
2020-10-01 108
2020-11-01 132
2020-12-01 116
2021-01-01 144
2021-02-01 166
2021-03-01 158
2021-04-01 144
2021-05-01 136
2021-06-01 142
2021-07-01 156
2021-08-01 198
2021-09-01 160
2021-10-01 132
2021-11-01 144
2021-12-01 106
2022-01-01 132
2022-02-01 148
2022-03-01 138
2022-04-01 148
2022-05-01 166
2022-06-01 228
2022-07-01 136
2022-08-01 140
2022-09-01 176
2022-10-01 124
2022-11-01 94
2022-12-01 84
2023-01-01 96
2023-02-01 100
2023-03-01 132
2023-04-01 112
2023-05-01 134
2023-06-01 134
2023-07-01 128
2023-08-01 116
2023-09-01 108
2023-10-01 96
2023-11-01 84
2023-12-01 76
2024-01-01 120
2024-02-01 132
2024-03-01 128
2024-04-01 144
2024-05-01 140

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