Federal Reserve Economic Data

Table Data - Housing Inventory: Price Reduced Count in Georgetown, SC (CBSA)

Title Housing Inventory: Price Reduced Count in Georgetown, SC (CBSA)
Series ID PRIREDCOU23860
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 5:15 PM CST
Notes The count of listings which have had their price reduced in a given market 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
2016-07-01 208
2016-08-01 184
2016-09-01 170
2016-10-01 148
2016-11-01 132
2016-12-01 92
2017-01-01 134
2017-02-01 148
2017-03-01 162
2017-04-01 184
2017-05-01 194
2017-06-01 170
2017-07-01 144
2017-08-01 160
2017-09-01 148
2017-10-01 158
2017-11-01 128
2017-12-01 100
2018-01-01 126
2018-02-01 138
2018-03-01 128
2018-04-01 162
2018-05-01 178
2018-06-01 192
2018-07-01 136
2018-08-01 174
2018-09-01 96
2018-10-01 194
2018-11-01 158
2018-12-01 108
2019-01-01 176
2019-02-01 160
2019-03-01 132
2019-04-01 158
2019-05-01 204
2019-06-01 160
2019-07-01 184
2019-08-01 192
2019-09-01 174
2019-10-01 158
2019-11-01 132
2019-12-01 94
2020-01-01 134
2020-02-01 136
2020-03-01 134
2020-04-01 80
2020-05-01 116
2020-06-01 152
2020-07-01 140
2020-08-01 124
2020-09-01 116
2020-10-01 112
2020-11-01 70
2020-12-01 58
2021-01-01 72
2021-02-01 58
2021-03-01 42
2021-04-01 40
2021-05-01 32
2021-06-01 38
2021-07-01 48
2021-08-01 68
2021-09-01 58
2021-10-01 68
2021-11-01 60
2021-12-01 30
2022-01-01 52
2022-02-01 40
2022-03-01 30
2022-04-01 32
2022-05-01 60
2022-06-01 74
2022-07-01 68
2022-08-01 84
2022-09-01 90
2022-10-01 76
2022-11-01 50
2022-12-01 32
2023-01-01 56
2023-02-01 52
2023-03-01 82
2023-04-01 108
2023-05-01 98
2023-06-01 80
2023-07-01 104
2023-08-01 86
2023-09-01 100
2023-10-01 122
2023-11-01 126
2023-12-01 68
2024-01-01 90
2024-02-01 106
2024-03-01 124
2024-04-01 136
2024-05-01 148
2024-06-01 148
2024-07-01 154
2024-08-01 144
2024-09-01 140
2024-10-01 138
2024-11-01 148

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