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

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Title Housing Inventory: New Listing Count in Sumter County, SC
Series ID NEWLISCOU45085
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
2016-07-01 156
2016-08-01 134
2016-09-01 130
2016-10-01 112
2016-11-01 96
2016-12-01 92
2017-01-01 122
2017-02-01 134
2017-03-01 146
2017-04-01 164
2017-05-01 184
2017-06-01 140
2017-07-01 164
2017-08-01 126
2017-09-01 120
2017-10-01 124
2017-11-01 114
2017-12-01 96
2018-01-01 124
2018-02-01 148
2018-03-01 164
2018-04-01 152
2018-05-01 148
2018-06-01 144
2018-07-01 154
2018-08-01 138
2018-09-01 112
2018-10-01 110
2018-11-01 102
2018-12-01 92
2019-01-01 146
2019-02-01 136
2019-03-01 152
2019-04-01 154
2019-05-01 124
2019-06-01 124
2019-07-01 126
2019-08-01 136
2019-09-01 122
2019-10-01 116
2019-11-01 104
2019-12-01 82
2020-01-01 104
2020-02-01 120
2020-03-01 134
2020-04-01 112
2020-05-01 124
2020-06-01 146
2020-07-01 120
2020-08-01 120
2020-09-01 128
2020-10-01 120
2020-11-01 102
2020-12-01 114
2021-01-01 148
2021-02-01 132
2021-03-01 160
2021-04-01 138
2021-05-01 188
2021-06-01 148
2021-07-01 148
2021-08-01 128
2021-09-01 136
2021-10-01 168
2021-11-01 112
2021-12-01 116
2022-01-01 116
2022-02-01 128
2022-03-01 140
2022-04-01 152
2022-05-01 194
2022-06-01 190
2022-07-01 156
2022-08-01 156
2022-09-01 172
2022-10-01 116
2022-11-01 112
2022-12-01 104
2023-01-01 166
2023-02-01 104
2023-03-01 96
2023-04-01 116
2023-05-01 160
2023-06-01 134
2023-07-01 148
2023-08-01 132
2023-09-01 188
2023-10-01 136
2023-11-01 138
2023-12-01 112
2024-01-01 134
2024-02-01 102
2024-03-01 124
2024-04-01 138
2024-05-01 146

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