Table Data - Housing Inventory: Price Reduced Count in Pickens County, SC

Title	Housing Inventory: Price Reduced Count in Pickens County, SC
Series ID	PRIREDCOU45077
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 4:26 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	130
2016-09-01	126
2016-10-01	144
2016-11-01	104
2016-12-01	112
2017-01-01	96
2017-02-01	100
2017-03-01	98
2017-04-01	144
2017-05-01	124
2017-06-01	112
2017-07-01	136
2017-08-01	140
2017-09-01	140
2017-10-01	128
2017-11-01	114
2017-12-01	76
2018-01-01	82
2018-02-01	124
2018-03-01	108
2018-04-01	108
2018-05-01	160
2018-06-01	140
2018-07-01	128
2018-08-01	132
2018-09-01	132
2018-10-01	146
2018-11-01	94
2018-12-01	88
2019-01-01	82
2019-02-01	116
2019-03-01	108
2019-04-01	94
2019-05-01	104
2019-06-01	128
2019-07-01	142
2019-08-01	164
2019-09-01	154
2019-10-01	146
2019-11-01	100
2019-12-01	62
2020-01-01	78
2020-02-01	72
2020-03-01	90
2020-04-01	54
2020-05-01	68
2020-06-01	62
2020-07-01	70
2020-08-01	68
2020-09-01	64
2020-10-01	64
2020-11-01	48
2020-12-01	34
2021-01-01	44
2021-02-01	40
2021-03-01	22
2021-04-01	34
2021-05-01	40
2021-06-01	26
2021-07-01	52
2021-08-01	50
2021-09-01	56
2021-10-01	44
2021-11-01	50
2021-12-01	38
2022-01-01	24
2022-02-01	42
2022-03-01	26
2022-04-01	28
2022-05-01	38
2022-06-01	64
2022-07-01	72
2022-08-01	106
2022-09-01	122
2022-10-01	120
2022-11-01	122
2022-12-01	116
2023-01-01	112
2023-02-01	80
2023-03-01	68
2023-04-01	64
2023-05-01	62
2023-06-01	64
2023-07-01	104
2023-08-01	100
2023-09-01	116
2023-10-01	120
2023-11-01	92
2023-12-01	96
2024-01-01	78
2024-02-01	80
2024-03-01	92
2024-04-01	114
2024-05-01	124
2024-06-01	144
2024-07-01	186
2024-08-01	160
2024-09-01	156
2024-10-01	140
2024-11-01	128

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