Table Data - Housing Inventory: Median Home Size in Square Feet in Port Clinton, OH (CBSA)

Title Housing Inventory: Median Home Size in Square Feet in Port Clinton, OH (CBSA)
Series ID MEDSQUFEE38840
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2022-08-01
Last Updated 2022-09-01 5:18 PM CDT
Notes The median home size in square feet for listings in a given market during the specified 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 1554
2016-08-01 1605
2016-09-01 1592
2016-10-01 1610
2016-11-01 1620
2016-12-01 1600
2017-01-01 1578
2017-02-01 1568
2017-03-01 1601
2017-04-01 1620
2017-05-01 1668
2017-06-01 1688
2017-07-01 1640
2017-08-01 1641
2017-09-01 1654
2017-10-01 1653
2017-11-01 1698
2017-12-01 1642
2018-01-01 1614
2018-02-01 1650
2018-03-01 1718
2018-04-01 1723
2018-05-01 1734
2018-06-01 1720
2018-07-01 1755
2018-08-01 1733
2018-09-01 1650
2018-10-01 1645
2018-11-01 1624
2018-12-01 1602
2019-01-01 1631
2019-02-01 1661
2019-03-01 1716
2019-04-01 1724
2019-05-01 1662
2019-06-01 1648
2019-07-01 1660
2019-08-01 1657
2019-09-01 1679
2019-10-01 1757
2019-11-01 1694
2019-12-01 1739
2020-01-01 1694
2020-02-01 1620
2020-03-01 1610
2020-04-01 1601
2020-05-01 1694
2020-06-01 1720
2020-07-01 1720
2020-08-01 1784
2020-09-01 1894
2020-10-01 1832
2020-11-01 1767
2020-12-01 1768
2021-01-01 1554
2021-02-01 1511
2021-03-01 1496
2021-04-01 1501
2021-05-01 1600
2021-06-01 1717
2021-07-01 1600
2021-08-01 1760
2021-09-01 1810
2021-10-01 1768
2021-11-01 1708
2021-12-01 1768
2022-01-01 1904
2022-02-01 1785
2022-03-01 1742
2022-04-01 1780
2022-05-01 1689
2022-06-01 1763
2022-07-01 1712
2022-08-01 1769

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