Table Data - Housing Inventory: New Listing Count in Kershaw County, SC

Title	Housing Inventory: New Listing Count in Kershaw County, SC
Series ID	NEWLISCOU45055
Source	Realtor.com
Release	Housing Inventory Core Metrics
Seasonal Adjustment	Not Seasonally Adjusted
Frequency	Monthly
Units	Level
Date Range	2016-07-01 to 2025-01-01
Last Updated	2025-01-30 4:38 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	88
2016-08-01	122
2016-09-01	82
2016-10-01	72
2016-11-01	76
2016-12-01	72
2017-01-01	72
2017-02-01	118
2017-03-01	126
2017-04-01	108
2017-05-01	114
2017-06-01	134
2017-07-01	100
2017-08-01	116
2017-09-01	84
2017-10-01	70
2017-11-01	70
2017-12-01	88
2018-01-01	84
2018-02-01	92
2018-03-01	116
2018-04-01	106
2018-05-01	108
2018-06-01	116
2018-07-01	104
2018-08-01	116
2018-09-01	80
2018-10-01	94
2018-11-01	74
2018-12-01	72
2019-01-01	98
2019-02-01	92
2019-03-01	112
2019-04-01	116
2019-05-01	120
2019-06-01	108
2019-07-01	102
2019-08-01	84
2019-09-01	76
2019-10-01	78
2019-11-01	84
2019-12-01	74
2020-01-01	86
2020-02-01	88
2020-03-01	102
2020-04-01	84
2020-05-01	100
2020-06-01	78
2020-07-01	74
2020-08-01	96
2020-09-01	80
2020-10-01	108
2020-11-01	60
2020-12-01	72
2021-01-01	96
2021-02-01	94
2021-03-01	94
2021-04-01	96
2021-05-01	108
2021-06-01	90
2021-07-01	92
2021-08-01	142
2021-09-01	96
2021-10-01	108
2021-11-01	58
2021-12-01	76
2022-01-01	72
2022-02-01	98
2022-03-01	110
2022-04-01	128
2022-05-01	124
2022-06-01	114
2022-07-01	124
2022-08-01	122
2022-09-01	134
2022-10-01	108
2022-11-01	66
2022-12-01	76
2023-01-01	90
2023-02-01	86
2023-03-01	102
2023-04-01	160
2023-05-01	126
2023-06-01	114
2023-07-01	112
2023-08-01	68
2023-09-01	76
2023-10-01	92
2023-11-01	86
2023-12-01	88
2024-01-01	102
2024-02-01	94
2024-03-01	108
2024-04-01	108
2024-05-01	114
2024-06-01	108
2024-07-01	92
2024-08-01	80
2024-09-01	76
2024-10-01	92
2024-11-01	92
2024-12-01	66
2025-01-01	66

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