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Table Data - Housing Inventory: Median Home Size in Square Feet in Watertown-Fort Drum, NY (CBSA)

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Title Housing Inventory: Median Home Size in Square Feet in Watertown-Fort Drum, NY (CBSA)
Series ID MEDSQUFEE48060
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 5:02 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 1632
2016-08-01 1620
2016-09-01 1615
2016-10-01 1600
2016-11-01 1605
2016-12-01 1600
2017-01-01 1604
2017-02-01 1590
2017-03-01 1582
2017-04-01 1584
2017-05-01 1596
2017-06-01 1607
2017-07-01 1604
2017-08-01 1596
2017-09-01 1629
2017-10-01 1649
2017-11-01 1660
2017-12-01 1680
2018-01-01 1680
2018-02-01 1680
2018-03-01 1680
2018-04-01 1661
2018-05-01 1660
2018-06-01 1629
2018-07-01 1626
2018-08-01 1633
2018-09-01 1636
2018-10-01 1603
2018-11-01 1598
2018-12-01 1607
2019-01-01 1620
2019-02-01 1634
2019-03-01 1684
2019-04-01 1724
2019-05-01 1687
2019-06-01 1680
2019-07-01 1701
2019-08-01 1689
2019-09-01 1674
2019-10-01 1665
2019-11-01 1663
2019-12-01 1649
2020-01-01 1646
2020-02-01 1653
2020-03-01 1656
2020-04-01 1684
2020-05-01 1689
2020-06-01 1673
2020-07-01 1698
2020-08-01 1700
2020-09-01 1695
2020-10-01 1666
2020-11-01 1695
2020-12-01 1687
2021-01-01 1678
2021-02-01 1744
2021-03-01 1699
2021-04-01 1674
2021-05-01 1676
2021-06-01 1658
2021-07-01 1684
2021-08-01 1683
2021-09-01 1686
2021-10-01 1672
2021-11-01 1648
2021-12-01 1648
2022-01-01 1669
2022-02-01 1671
2022-03-01 1687
2022-04-01 1680
2022-05-01 1668
2022-06-01 1680
2022-07-01 1680
2022-08-01 1730
2022-09-01 1717
2022-10-01 1734
2022-11-01 1681
2022-12-01 1652
2023-01-01 1666
2023-02-01 1739
2023-03-01 1675
2023-04-01 1759
2023-05-01 1685
2023-06-01 1795
2023-07-01 1766
2023-08-01 1744
2023-09-01 1702
2023-10-01 1780
2023-11-01 1708
2023-12-01 1694
2024-01-01 1756
2024-02-01 1699
2024-03-01 1700
2024-04-01 1736
2024-05-01 1721

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