Federal Reserve Economic Data

Table Data - Housing Inventory: Median Home Size in Square Feet in Pitt County, NC

Title Housing Inventory: Median Home Size in Square Feet in Pitt County, NC
Series ID MEDSQUFEE37147
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2024-09-01
Last Updated 2024-10-03 4:29 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.

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.
DATE VALUE
2016-07-01 1838
2016-08-01 1839
2016-09-01 1870
2016-10-01 1884
2016-11-01 1908
2016-12-01 1879
2017-01-01 1878
2017-02-01 1870
2017-03-01 1915
2017-04-01 1953
2017-05-01 2042
2017-06-01 2024
2017-07-01 2034
2017-08-01 2025
2017-09-01 2021
2017-10-01 2058
2017-11-01 2055
2017-12-01 2013
2018-01-01 2010
2018-02-01 2096
2018-03-01 2060
2018-04-01 2157
2018-05-01 2127
2018-06-01 2147
2018-07-01 2097
2018-08-01 2078
2018-09-01 2022
2018-10-01 2012
2018-11-01 2056
2018-12-01 2019
2019-01-01 1989
2019-02-01 2064
2019-03-01 2145
2019-04-01 2214
2019-05-01 2287
2019-06-01 2231
2019-07-01 2140
2019-08-01 2152
2019-09-01 2123
2019-10-01 2103
2019-11-01 2125
2019-12-01 2148
2020-01-01 2146
2020-02-01 2170
2020-03-01 2202
2020-04-01 2204
2020-05-01 2325
2020-06-01 2380
2020-07-01 2485
2020-08-01 2436
2020-09-01 2353
2020-10-01 2257
2020-11-01 2295
2020-12-01 2231
2021-01-01 2238
2021-02-01 2203
2021-03-01 2242
2021-04-01 2124
2021-05-01 1977
2021-06-01 2037
2021-07-01 2006
2021-08-01 2009
2021-09-01 2012
2021-10-01 2006
2021-11-01 2027
2021-12-01 1933
2022-01-01 1926
2022-02-01 1926
2022-03-01 1939
2022-04-01 1998
2022-05-01 1972
2022-06-01 2104
2022-07-01 2183
2022-08-01 2195
2022-09-01 2174
2022-10-01 2182
2022-11-01 2177
2022-12-01 2162
2023-01-01 2160
2023-02-01 2161
2023-03-01 2181
2023-04-01 2196
2023-05-01 2225
2023-06-01 2206
2023-07-01 2129
2023-08-01 2104
2023-09-01 2043
2023-10-01 2032
2023-11-01 1994
2023-12-01 1995
2024-01-01 1937
2024-02-01 1902
2024-03-01 1886
2024-04-01 1896
2024-05-01 1874
2024-06-01 1880
2024-07-01 1900
2024-08-01 1870
2024-09-01 1873

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