Title: Housing Inventory: Median Home Size in Square Feet in Sanford, NC (CBSA) Series ID: MEDSQUFEE41820 Source: Realtor.com Release: Housing Inventory Core Metrics Seasonal Adjustment: Not Seasonally Adjusted Frequency: Monthly Units: Level Date Range: 2016-07-01 to 2024-03-01 Last Updated: 2024-04-04 5:12 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 2232 2016-08-01 2224 2016-09-01 2217 2016-10-01 2100 2016-11-01 2100 2016-12-01 2100 2017-01-01 2100 2017-02-01 2075 2017-03-01 2100 2017-04-01 2100 2017-05-01 2120 2017-06-01 2100 2017-07-01 2112 2017-08-01 2110 2017-09-01 2116 2017-10-01 2100 2017-11-01 2100 2017-12-01 2100 2018-01-01 2271 2018-02-01 2156 2018-03-01 2100 2018-04-01 2100 2018-05-01 2189 2018-06-01 2102 2018-07-01 2237 2018-08-01 2270 2018-09-01 2100 2018-10-01 2100 2018-11-01 2100 2018-12-01 2100 2019-01-01 2111 2019-02-01 2147 2019-03-01 2145 2019-04-01 2156 2019-05-01 2170 2019-06-01 2256 2019-07-01 2179 2019-08-01 2158 2019-09-01 2126 2019-10-01 2100 2019-11-01 2100 2019-12-01 2100 2020-01-01 2093 2020-02-01 2100 2020-03-01 2143 2020-04-01 2201 2020-05-01 2144 2020-06-01 2304 2020-07-01 2311 2020-08-01 2300 2020-09-01 2329 2020-10-01 2300 2020-11-01 2298 2020-12-01 2336 2021-01-01 2300 2021-02-01 2296 2021-03-01 2100 2021-04-01 2216 2021-05-01 1950 2021-06-01 2171 2021-07-01 2301 2021-08-01 2259 2021-09-01 2105 2021-10-01 2120 2021-11-01 2324 2021-12-01 2298 2022-01-01 2301 2022-02-01 1925 2022-03-01 2061 2022-04-01 2300 2022-05-01 2190 2022-06-01 2337 2022-07-01 2189 2022-08-01 2271 2022-09-01 2257 2022-10-01 2151 2022-11-01 2156 2022-12-01 2243 2023-01-01 2116 2023-02-01 2085 2023-03-01 2038 2023-04-01 2134 2023-05-01 2134 2023-06-01 2157 2023-07-01 2083 2023-08-01 2051 2023-09-01 2072 2023-10-01 2055 2023-11-01 2023 2023-12-01 2034 2024-01-01 2095 2024-02-01 2020 2024-03-01 2057