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Table Data - Housing Inventory: New Listing Count in Sumter, SC (CBSA)

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Title Housing Inventory: New Listing Count in Sumter, SC (CBSA)
Series ID NEWLISCOU44940
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 5:04 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
2016-07-01 176
2016-08-01 158
2016-09-01 144
2016-10-01 144
2016-11-01 122
2016-12-01 100
2017-01-01 148
2017-02-01 168
2017-03-01 172
2017-04-01 188
2017-05-01 226
2017-06-01 170
2017-07-01 196
2017-08-01 144
2017-09-01 144
2017-10-01 152
2017-11-01 140
2017-12-01 100
2018-01-01 140
2018-02-01 180
2018-03-01 192
2018-04-01 172
2018-05-01 180
2018-06-01 168
2018-07-01 172
2018-08-01 176
2018-09-01 128
2018-10-01 130
2018-11-01 128
2018-12-01 112
2019-01-01 176
2019-02-01 170
2019-03-01 188
2019-04-01 186
2019-05-01 152
2019-06-01 148
2019-07-01 152
2019-08-01 156
2019-09-01 146
2019-10-01 138
2019-11-01 116
2019-12-01 88
2020-01-01 140
2020-02-01 140
2020-03-01 162
2020-04-01 128
2020-05-01 144
2020-06-01 170
2020-07-01 142
2020-08-01 156
2020-09-01 142
2020-10-01 136
2020-11-01 126
2020-12-01 132
2021-01-01 152
2021-02-01 168
2021-03-01 182
2021-04-01 168
2021-05-01 204
2021-06-01 178
2021-07-01 176
2021-08-01 160
2021-09-01 160
2021-10-01 196
2021-11-01 140
2021-12-01 126
2022-01-01 144
2022-02-01 152
2022-03-01 154
2022-04-01 192
2022-05-01 210
2022-06-01 218
2022-07-01 196
2022-08-01 184
2022-09-01 198
2022-10-01 144
2022-11-01 130
2022-12-01 108
2023-01-01 194
2023-02-01 134
2023-03-01 124
2023-04-01 140
2023-05-01 186
2023-06-01 150
2023-07-01 152
2023-08-01 152
2023-09-01 212
2023-10-01 164
2023-11-01 160
2023-12-01 124
2024-01-01 160
2024-02-01 126
2024-03-01 152
2024-04-01 168
2024-05-01 176

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