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 Clinton County, NY Series ID: MEDSQUFEE36019 Source: Realtor.com Release: Housing Inventory Core Metrics Seasonal Adjustment: Not Seasonally Adjusted Frequency: Monthly Units: Level Date Range: 2016-07-01 to 2024-05-01 Last Updated: 2024-06-04 5:30 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 1792 2016-08-01 1771 2016-09-01 1762 2016-10-01 1752 2016-11-01 1735 2016-12-01 1713 2017-01-01 1700 2017-02-01 1705 2017-03-01 1704 2017-04-01 1735 2017-05-01 1727 2017-06-01 1745 2017-07-01 1754 2017-08-01 1766 2017-09-01 1728 2017-10-01 1701 2017-11-01 1683 2017-12-01 1680 2018-01-01 1620 2018-02-01 1631 2018-03-01 1653 2018-04-01 1690 2018-05-01 1705 2018-06-01 1734 2018-07-01 1767 2018-08-01 1767 2018-09-01 1786 2018-10-01 1746 2018-11-01 1793 2018-12-01 1749 2019-01-01 1759 2019-02-01 1714 2019-03-01 1726 2019-04-01 1726 2019-05-01 1712 2019-06-01 1659 2019-07-01 1708 2019-08-01 1712 2019-09-01 1709 2019-10-01 1707 2019-11-01 1702 2019-12-01 1714 2020-01-01 1651 2020-02-01 1652 2020-03-01 1816 2020-04-01 1831 2020-05-01 1803 2020-06-01 1738 2020-07-01 1745 2020-08-01 1795 2020-09-01 1747 2020-10-01 1689 2020-11-01 1750 2020-12-01 1743 2021-01-01 1669 2021-02-01 1675 2021-03-01 1727 2021-04-01 1813 2021-05-01 1880 2021-06-01 1800 2021-07-01 1814 2021-08-01 1780 2021-09-01 1798 2021-10-01 1728 2021-11-01 1661 2021-12-01 1662 2022-01-01 1663 2022-02-01 1663 2022-03-01 1579 2022-04-01 1540 2022-05-01 1617 2022-06-01 1639 2022-07-01 1728 2022-08-01 1734 2022-09-01 1663 2022-10-01 1610 2022-11-01 1611 2022-12-01 1549 2023-01-01 1559 2023-02-01 1577 2023-03-01 1707 2023-04-01 1704 2023-05-01 1773 2023-06-01 1809 2023-07-01 1722 2023-08-01 1661 2023-09-01 1609 2023-10-01 1733 2023-11-01 1766 2023-12-01 1800 2024-01-01 1774 2024-02-01 1623 2024-03-01 1717 2024-04-01 1748 2024-05-01 1786