Table Data - Housing Inventory: New Listing Count in Licking County, OH

Title	Housing Inventory: New Listing Count in Licking County, OH
Series ID	NEWLISCOU39089
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 4:48 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	308
2016-08-01	272
2016-09-01	258
2016-10-01	220
2016-11-01	164
2016-12-01	132
2017-01-01	166
2017-02-01	168
2017-03-01	246
2017-04-01	280
2017-05-01	294
2017-06-01	318
2017-07-01	304
2017-08-01	296
2017-09-01	240
2017-10-01	220
2017-11-01	182
2017-12-01	124
2018-01-01	142
2018-02-01	166
2018-03-01	216
2018-04-01	282
2018-05-01	296
2018-06-01	308
2018-07-01	280
2018-08-01	286
2018-09-01	236
2018-10-01	216
2018-11-01	164
2018-12-01	144
2019-01-01	166
2019-02-01	184
2019-03-01	220
2019-04-01	242
2019-05-01	296
2019-06-01	280
2019-07-01	330
2019-08-01	320
2019-09-01	294
2019-10-01	266
2019-11-01	180
2019-12-01	102
2020-01-01	148
2020-02-01	168
2020-03-01	238
2020-04-01	152
2020-05-01	236
2020-06-01	264
2020-07-01	224
2020-08-01	240
2020-09-01	236
2020-10-01	204
2020-11-01	186
2020-12-01	122
2021-01-01	132
2021-02-01	152
2021-03-01	224
2021-04-01	222
2021-05-01	256
2021-06-01	320
2021-07-01	296
2021-08-01	302
2021-09-01	312
2021-10-01	228
2021-11-01	202
2021-12-01	164
2022-01-01	152
2022-02-01	186
2022-03-01	178
2022-04-01	228
2022-05-01	246
2022-06-01	238
2022-07-01	284
2022-08-01	230
2022-09-01	236
2022-10-01	200
2022-11-01	166
2022-12-01	120
2023-01-01	166
2023-02-01	144
2023-03-01	176
2023-04-01	208
2023-05-01	212
2023-06-01	242
2023-07-01	232
2023-08-01	206
2023-09-01	244
2023-10-01	170
2023-11-01	152
2023-12-01	84
2024-01-01	126
2024-02-01	142
2024-03-01	196
2024-04-01	222
2024-05-01	224
2024-06-01	228
2024-07-01	258
2024-08-01	224
2024-09-01	188
2024-10-01	184
2024-11-01	156

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