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 Dauphin County, PA Series ID: MEDSQUFEE42043 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 4:41 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 1800 2016-08-01 1800 2016-09-01 1800 2016-10-01 1804 2016-11-01 1816 2016-12-01 1804 2017-01-01 1802 2017-02-01 1786 2017-03-01 1704 2017-04-01 1734 2017-05-01 1733 2017-06-01 1727 2017-07-01 1735 2017-08-01 1734 2017-09-01 1716 2017-10-01 1705 2017-11-01 1824 2017-12-01 1683 2018-01-01 1698 2018-02-01 1685 2018-03-01 1712 2018-04-01 1724 2018-05-01 1744 2018-06-01 1850 2018-07-01 1865 2018-08-01 1873 2018-09-01 1920 2018-10-01 1857 2018-11-01 1851 2018-12-01 1819 2019-01-01 1809 2019-02-01 1803 2019-03-01 1804 2019-04-01 1833 2019-05-01 1933 2019-06-01 2006 2019-07-01 2047 2019-08-01 2087 2019-09-01 2150 2019-10-01 2183 2019-11-01 2148 2019-12-01 2152 2020-01-01 2171 2020-02-01 2177 2020-03-01 2174 2020-04-01 2146 2020-05-01 2199 2020-06-01 2154 2020-07-01 2172 2020-08-01 2165 2020-09-01 2110 2020-10-01 2100 2020-11-01 2143 2020-12-01 2078 2021-01-01 2071 2021-02-01 2060 2021-03-01 2059 2021-04-01 2038 2021-05-01 1882 2021-06-01 1760 2021-07-01 1733 2021-08-01 1691 2021-09-01 1727 2021-10-01 1737 2021-11-01 1733 2021-12-01 1738 2022-01-01 1722 2022-02-01 1756 2022-03-01 1728 2022-04-01 1775 2022-05-01 1710 2022-06-01 1776 2022-07-01 1790 2022-08-01 1837 2022-09-01 1792 2022-10-01 1843 2022-11-01 1850 2022-12-01 1840 2023-01-01 1834 2023-02-01 1843 2023-03-01 1956 2023-04-01 1962 2023-05-01 1929 2023-06-01 1946 2023-07-01 1968 2023-08-01 1962 2023-09-01 1961 2023-10-01 1873 2023-11-01 1856 2023-12-01 1797 2024-01-01 1768 2024-02-01 1741 2024-03-01 1773 2024-04-01 1793 2024-05-01 1920