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 Randolph County, NC Series ID: MEDSQUFEE37151 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 1892 2016-08-01 1907 2016-09-01 1909 2016-10-01 1896 2016-11-01 1855 2016-12-01 1805 2017-01-01 1810 2017-02-01 1822 2017-03-01 1814 2017-04-01 1805 2017-05-01 1809 2017-06-01 1815 2017-07-01 1811 2017-08-01 1816 2017-09-01 1802 2017-10-01 1806 2017-11-01 1796 2017-12-01 1799 2018-01-01 1754 2018-02-01 1748 2018-03-01 1812 2018-04-01 1858 2018-05-01 1877 2018-06-01 1807 2018-07-01 1855 2018-08-01 1806 2018-09-01 1811 2018-10-01 1811 2018-11-01 1823 2018-12-01 1803 2019-01-01 1800 2019-02-01 1800 2019-03-01 1930 2019-04-01 2041 2019-05-01 2078 2019-06-01 2109 2019-07-01 1831 2019-08-01 1747 2019-09-01 1674 2019-10-01 1732 2019-11-01 1648 2019-12-01 1818 2020-01-01 1592 2020-02-01 1758 2020-03-01 1696 2020-04-01 1637 2020-05-01 2091 2020-06-01 1937 2020-07-01 2054 2020-08-01 1755 2020-09-01 1766 2020-10-01 2008 2020-11-01 1734 2020-12-01 1578 2021-01-01 1925 2021-02-01 1800 2021-03-01 1790 2021-04-01 1978 2021-05-01 1800 2021-06-01 1803 2021-07-01 1856 2021-08-01 1823 2021-09-01 1856 2021-10-01 1842 2021-11-01 1854 2021-12-01 2279 2022-01-01 2041 2022-02-01 1858 2022-03-01 1937 2022-04-01 1831 2022-05-01 1779 2022-06-01 1586 2022-07-01 1605 2022-08-01 1474 2022-09-01 1596 2022-10-01 1430 2022-11-01 1429 2022-12-01 1435 2023-01-01 1389 2023-02-01 1540 2023-03-01 1437 2023-04-01 1429 2023-05-01 1429 2023-06-01 1429 2023-07-01 1429 2023-08-01 1461 2023-09-01 1536 2023-10-01 1456 2023-11-01 1789 2023-12-01 1641 2024-01-01 1670 2024-02-01 1429 2024-03-01 1546 2024-04-01 1612 2024-05-01 2401