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Table Data - Housing Inventory: Median Home Size in Square Feet in Parkersburg-Vienna, WV (CBSA)

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Title Housing Inventory: Median Home Size in Square Feet in Parkersburg-Vienna, WV (CBSA)
Series ID MEDSQUFEE37620
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 5:06 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 1818
2016-08-01 1732
2016-09-01 1744
2016-10-01 1695
2016-11-01 1681
2016-12-01 1676
2017-01-01 1678
2017-02-01 1628
2017-03-01 1632
2017-04-01 1603
2017-05-01 1601
2017-06-01 1627
2017-07-01 1624
2017-08-01 1649
2017-09-01 1699
2017-10-01 1639
2017-11-01 1658
2017-12-01 1600
2018-01-01 1595
2018-02-01 1594
2018-03-01 1566
2018-04-01 1629
2018-05-01 1603
2018-06-01 1668
2018-07-01 1859
2018-08-01 1823
2018-09-01 1840
2018-10-01 1850
2018-11-01 1859
2018-12-01 1815
2019-01-01 1859
2019-02-01 1880
2019-03-01 1905
2019-04-01 1928
2019-05-01 1694
2019-06-01 1748
2019-07-01 1751
2019-08-01 1782
2019-09-01 1801
2019-10-01 1813
2019-11-01 1800
2019-12-01 1808
2020-01-01 1798
2020-02-01 1829
2020-03-01 1836
2020-04-01 1855
2020-05-01 1833
2020-06-01 1832
2020-07-01 1828
2020-08-01 1840
2020-09-01 1773
2020-10-01 1828
2020-11-01 1843
2020-12-01 1890
2021-01-01 1844
2021-02-01 1698
2021-03-01 1716
2021-04-01 1770
2021-05-01 1808
2021-06-01 1893
2021-07-01 1774
2021-08-01 1719
2021-09-01 1818
2021-10-01 1773
2021-11-01 1794
2021-12-01 1749
2022-01-01 1698
2022-02-01 1655
2022-03-01 1816
2022-04-01 1826
2022-05-01 1839
2022-06-01 1834
2022-07-01 1843
2022-08-01 1917
2022-09-01 1908
2022-10-01 1858
2022-11-01 2003
2022-12-01 1904
2023-01-01 1804
2023-02-01 1748
2023-03-01 1826
2023-04-01 1840
2023-05-01 1839
2023-06-01 1884
2023-07-01 1856
2023-08-01 1853
2023-09-01 1792
2023-10-01 1642
2023-11-01 1825
2023-12-01 1844
2024-01-01 1911
2024-02-01 2057
2024-03-01 2201
2024-04-01 2170
2024-05-01 2034

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