Federal Reserve Economic Data

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

Title Housing Inventory: New Listing Count in Florence, SC (CBSA)
Series ID NEWLISCOU22500
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2024-11-01
Last Updated 2024-12-05 5:16 PM CST
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
2016-07-01 188
2016-08-01 184
2016-09-01 166
2016-10-01 160
2016-11-01 130
2016-12-01 108
2017-01-01 158
2017-02-01 202
2017-03-01 184
2017-04-01 200
2017-05-01 228
2017-06-01 178
2017-07-01 184
2017-08-01 182
2017-09-01 184
2017-10-01 160
2017-11-01 134
2017-12-01 128
2018-01-01 178
2018-02-01 186
2018-03-01 192
2018-04-01 208
2018-05-01 218
2018-06-01 224
2018-07-01 180
2018-08-01 196
2018-09-01 156
2018-10-01 140
2018-11-01 158
2018-12-01 120
2019-01-01 150
2019-02-01 172
2019-03-01 188
2019-04-01 180
2019-05-01 184
2019-06-01 192
2019-07-01 202
2019-08-01 188
2019-09-01 178
2019-10-01 172
2019-11-01 164
2019-12-01 88
2020-01-01 166
2020-02-01 184
2020-03-01 184
2020-04-01 138
2020-05-01 160
2020-06-01 192
2020-07-01 198
2020-08-01 168
2020-09-01 170
2020-10-01 152
2020-11-01 170
2020-12-01 150
2021-01-01 188
2021-02-01 194
2021-03-01 204
2021-04-01 192
2021-05-01 172
2021-06-01 190
2021-07-01 192
2021-08-01 250
2021-09-01 186
2021-10-01 176
2021-11-01 178
2021-12-01 144
2022-01-01 156
2022-02-01 214
2022-03-01 184
2022-04-01 176
2022-05-01 234
2022-06-01 282
2022-07-01 208
2022-08-01 192
2022-09-01 232
2022-10-01 160
2022-11-01 128
2022-12-01 104
2023-01-01 134
2023-02-01 142
2023-03-01 172
2023-04-01 176
2023-05-01 192
2023-06-01 170
2023-07-01 160
2023-08-01 150
2023-09-01 144
2023-10-01 152
2023-11-01 122
2023-12-01 112
2024-01-01 168
2024-02-01 174
2024-03-01 200
2024-04-01 192
2024-05-01 198
2024-06-01 200
2024-07-01 182
2024-08-01 188
2024-09-01 210
2024-10-01 176
2024-11-01 132

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