Federal Reserve Economic Data

Table Data - Housing Inventory: Price Reduced Count in Greenville, NC (CBSA)

Title Housing Inventory: Price Reduced Count in Greenville, NC (CBSA)
Series ID PRIREDCOU24780
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
2016-07-01 148
2016-08-01 132
2016-09-01 156
2016-10-01 100
2016-11-01 114
2016-12-01 64
2017-01-01 84
2017-02-01 104
2017-03-01 116
2017-04-01 104
2017-05-01 122
2017-06-01 112
2017-07-01 124
2017-08-01 114
2017-09-01 96
2017-10-01 112
2017-11-01 68
2017-12-01 52
2018-01-01 48
2018-02-01 80
2018-03-01 100
2018-04-01 140
2018-05-01 122
2018-06-01 160
2018-07-01 128
2018-08-01 126
2018-09-01 96
2018-10-01 130
2018-11-01 88
2018-12-01 96
2019-01-01 80
2019-02-01 82
2019-03-01 80
2019-04-01 80
2019-05-01 92
2019-06-01 84
2019-07-01 100
2019-08-01 108
2019-09-01 108
2019-10-01 94
2019-11-01 56
2019-12-01 52
2020-01-01 72
2020-02-01 52
2020-03-01 54
2020-04-01 58
2020-05-01 60
2020-06-01 58
2020-07-01 58
2020-08-01 80
2020-09-01 60
2020-10-01 44
2020-11-01 46
2020-12-01 46
2021-01-01 32
2021-02-01 18
2021-03-01 24
2021-04-01 30
2021-05-01 20
2021-06-01 26
2021-07-01 40
2021-08-01 46
2021-09-01 52
2021-10-01 64
2021-11-01 44
2021-12-01 24
2022-01-01 24
2022-02-01 14
2022-03-01 20
2022-04-01 8
2022-05-01 36
2022-06-01 40
2022-07-01 48
2022-08-01 58
2022-09-01 56
2022-10-01 76
2022-11-01 70
2022-12-01 40
2023-01-01 72
2023-02-01 44
2023-03-01 54
2023-04-01 32
2023-05-01 52
2023-06-01 58
2023-07-01 64
2023-08-01 58
2023-09-01 68
2023-10-01 102
2023-11-01 72
2023-12-01 68
2024-01-01 72
2024-02-01 72
2024-03-01 80
2024-04-01 102
2024-05-01 88
2024-06-01 124
2024-07-01 116
2024-08-01 140
2024-09-01 128
2024-10-01 132
2024-11-01 104

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