NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: Housing Inventory: Median Home Size in Square Feet in Lock Haven, PA (CBSA) Series ID: MEDSQUFEE30820 Source: Realtor.com Release: Housing Inventory Core Metrics Seasonal Adjustment: Not Seasonally Adjusted Frequency: Monthly Units: Level Date Range: 2016-07-01 to 2024-04-01 Last Updated: 2024-05-02 5:19 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 (https://www.realtor.com/research/data/). 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 (https://www.realtor.com/research/data/). DATE VALUE 2016-07-01 1744 2016-08-01 1722 2016-09-01 1833 2016-10-01 1759 2016-11-01 1693 2016-12-01 1712 2017-01-01 1713 2017-02-01 1800 2017-03-01 1772 2017-04-01 1768 2017-05-01 1741 2017-06-01 1851 2017-07-01 1888 2017-08-01 1846 2017-09-01 1780 2017-10-01 1956 2017-11-01 1974 2017-12-01 1960 2018-01-01 1920 2018-02-01 1798 2018-03-01 1596 2018-04-01 1678 2018-05-01 1761 2018-06-01 1768 2018-07-01 1756 2018-08-01 1803 2018-09-01 1758 2018-10-01 1780 2018-11-01 1796 2018-12-01 1761 2019-01-01 1758 2019-02-01 1760 2019-03-01 1743 2019-04-01 1725 2019-05-01 1754 2019-06-01 1800 2019-07-01 1716 2019-08-01 1679 2019-09-01 1651 2019-10-01 1646 2019-11-01 1640 2019-12-01 1639 2020-01-01 1635 2020-02-01 1606 2020-03-01 1634 2020-04-01 1666 2020-05-01 1658 2020-06-01 1660 2020-07-01 1701 2020-08-01 1723 2020-09-01 1640 2020-10-01 1646 2020-11-01 1696 2020-12-01 1815 2021-01-01 1780 2021-02-01 1805 2021-03-01 1789 2021-04-01 1807 2021-05-01 1800 2021-06-01 1870 2021-07-01 1750 2021-08-01 1809 2021-09-01 1803 2021-10-01 1862 2021-11-01 1764 2021-12-01 1776 2022-01-01 1660 2022-02-01 1652 2022-03-01 1759 2022-04-01 1644 2022-05-01 1742 2022-06-01 1751 2022-07-01 1840 2022-08-01 1758 2022-09-01 1734 2022-10-01 1729 2022-11-01 1722 2022-12-01 1781 2023-01-01 1667 2023-02-01 1716 2023-03-01 1728 2023-04-01 1763 2023-05-01 1692 2023-06-01 1746 2023-07-01 1729 2023-08-01 1756 2023-09-01 1755 2023-10-01 1887 2023-11-01 1773 2023-12-01 1731 2024-01-01 1692 2024-02-01 1692 2024-03-01 1680 2024-04-01 1690