Title: Housing Inventory: Median Home Size in Square Feet in Seneca Falls, NY (CBSA) Series ID: MEDSQUFEE42900 Source: Realtor.com Release: Housing Inventory Core Metrics Seasonal Adjustment: Not Seasonally Adjusted Frequency: Monthly Units: Level Date Range: 2016-07-01 to 2024-02-01 Last Updated: 2024-03-21 2:28 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 1785 2016-08-01 1763 2016-09-01 1738 2016-10-01 1750 2016-11-01 1739 2016-12-01 1738 2017-01-01 1745 2017-02-01 1808 2017-03-01 1801 2017-04-01 1784 2017-05-01 1714 2017-06-01 1685 2017-07-01 1690 2017-08-01 1691 2017-09-01 1683 2017-10-01 1777 2017-11-01 1831 2017-12-01 1813 2018-01-01 1750 2018-02-01 1669 2018-03-01 1660 2018-04-01 1712 2018-05-01 1774 2018-06-01 1700 2018-07-01 1848 2018-08-01 1796 2018-09-01 1783 2018-10-01 1746 2018-11-01 1746 2018-12-01 1704 2019-01-01 1701 2019-02-01 1703 2019-03-01 1699 2019-04-01 1699 2019-05-01 1734 2019-06-01 1827 2019-07-01 1754 2019-08-01 1796 2019-09-01 1772 2019-10-01 1753 2019-11-01 1768 2019-12-01 1707 2020-01-01 1681 2020-02-01 1691 2020-03-01 1730 2020-04-01 1760 2020-05-01 1752 2020-06-01 1776 2020-07-01 1970 2020-08-01 1900 2020-09-01 1877 2020-10-01 1792 2020-11-01 1690 2020-12-01 1679 2021-01-01 1792 2021-02-01 1823 2021-03-01 1667 2021-04-01 1665 2021-05-01 1701 2021-06-01 1809 2021-07-01 1820 2021-08-01 1898 2021-09-01 1799 2021-10-01 1885 2021-11-01 1870 2021-12-01 1879 2022-01-01 1733 2022-02-01 1783 2022-03-01 1645 2022-04-01 1602 2022-05-01 1821 2022-06-01 1723 2022-07-01 1616 2022-08-01 1439 2022-09-01 1438 2022-10-01 1530 2022-11-01 1794 2022-12-01 1748 2023-01-01 1469 2023-02-01 1712 2023-03-01 1867 2023-04-01 1913 2023-05-01 1857 2023-06-01 1897 2023-07-01 1888 2023-08-01 1918 2023-09-01 1705 2023-10-01 1670 2023-11-01 1866 2023-12-01 1738 2024-01-01 1926 2024-02-01 1612