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 Syracuse, NY (CBSA) Series ID: MEDSQUFEE45060 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 5:11 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 1722 2016-08-01 1713 2016-09-01 1702 2016-10-01 1704 2016-11-01 1700 2016-12-01 1694 2017-01-01 1693 2017-02-01 1701 2017-03-01 1724 2017-04-01 1754 2017-05-01 1757 2017-06-01 1755 2017-07-01 1768 2017-08-01 1752 2017-09-01 1730 2017-10-01 1728 2017-11-01 1705 2017-12-01 1700 2018-01-01 1678 2018-02-01 1693 2018-03-01 1719 2018-04-01 1735 2018-05-01 1767 2018-06-01 1776 2018-07-01 1787 2018-08-01 1784 2018-09-01 1764 2018-10-01 1769 2018-11-01 1766 2018-12-01 1753 2019-01-01 1754 2019-02-01 1757 2019-03-01 1784 2019-04-01 1816 2019-05-01 1800 2019-06-01 1800 2019-07-01 1799 2019-08-01 1780 2019-09-01 1773 2019-10-01 1766 2019-11-01 1758 2019-12-01 1748 2020-01-01 1727 2020-02-01 1749 2020-03-01 1773 2020-04-01 1786 2020-05-01 1799 2020-06-01 1810 2020-07-01 1805 2020-08-01 1795 2020-09-01 1790 2020-10-01 1780 2020-11-01 1768 2020-12-01 1758 2021-01-01 1717 2021-02-01 1761 2021-03-01 1758 2021-04-01 1752 2021-05-01 1776 2021-06-01 1789 2021-07-01 1738 2021-08-01 1701 2021-09-01 1679 2021-10-01 1680 2021-11-01 1639 2021-12-01 1633 2022-01-01 1645 2022-02-01 1640 2022-03-01 1643 2022-04-01 1651 2022-05-01 1686 2022-06-01 1719 2022-07-01 1729 2022-08-01 1731 2022-09-01 1705 2022-10-01 1664 2022-11-01 1645 2022-12-01 1630 2023-01-01 1616 2023-02-01 1652 2023-03-01 1655 2023-04-01 1667 2023-05-01 1613 2023-06-01 1700 2023-07-01 1715 2023-08-01 1693 2023-09-01 1700 2023-10-01 1700 2023-11-01 1663 2023-12-01 1619 2024-01-01 1621 2024-02-01 1604 2024-03-01 1631 2024-04-01 1639