Table Data - Housing Inventory: Price Reduced Count in Licking County, OH

Title	Housing Inventory: Price Reduced Count in Licking County, OH
Series ID	PRIREDCOU39089
Source	Realtor.com
Release	Housing Inventory Core Metrics
Seasonal Adjustment	Not Seasonally Adjusted
Frequency	Monthly
Units	Level
Date Range	2016-07-01 to 2025-02-01
Last Updated	2025-02-27 4:41 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	184
2016-08-01	200
2016-09-01	196
2016-10-01	192
2016-11-01	154
2016-12-01	108
2017-01-01	102
2017-02-01	116
2017-03-01	84
2017-04-01	120
2017-05-01	132
2017-06-01	138
2017-07-01	200
2017-08-01	218
2017-09-01	168
2017-10-01	158
2017-11-01	144
2017-12-01	72
2018-01-01	60
2018-02-01	72
2018-03-01	76
2018-04-01	94
2018-05-01	114
2018-06-01	180
2018-07-01	198
2018-08-01	196
2018-09-01	196
2018-10-01	222
2018-11-01	142
2018-12-01	96
2019-01-01	120
2019-02-01	84
2019-03-01	88
2019-04-01	92
2019-05-01	108
2019-06-01	144
2019-07-01	176
2019-08-01	184
2019-09-01	180
2019-10-01	176
2019-11-01	132
2019-12-01	66
2020-01-01	92
2020-02-01	48
2020-03-01	56
2020-04-01	62
2020-05-01	48
2020-06-01	66
2020-07-01	54
2020-08-01	60
2020-09-01	74
2020-10-01	64
2020-11-01	66
2020-12-01	38
2021-01-01	32
2021-02-01	22
2021-03-01	14
2021-04-01	18
2021-05-01	36
2021-06-01	52
2021-07-01	72
2021-08-01	82
2021-09-01	94
2021-10-01	76
2021-11-01	56
2021-12-01	26
2022-01-01	28
2022-02-01	16
2022-03-01	22
2022-04-01	40
2022-05-01	44
2022-06-01	66
2022-07-01	108
2022-08-01	118
2022-09-01	126
2022-10-01	112
2022-11-01	120
2022-12-01	56
2023-01-01	86
2023-02-01	62
2023-03-01	68
2023-04-01	60
2023-05-01	72
2023-06-01	88
2023-07-01	128
2023-08-01	126
2023-09-01	144
2023-10-01	174
2023-11-01	148
2023-12-01	108
2024-01-01	90
2024-02-01	74
2024-03-01	64
2024-04-01	106
2024-05-01	146
2024-06-01	148
2024-07-01	172
2024-08-01	208
2024-09-01	200
2024-10-01	164
2024-11-01	168
2024-12-01	98
2025-01-01	86
2025-02-01	122

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