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

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Title Housing Inventory: Median Home Size in Square Feet in Binghamton, NY (CBSA)
Series ID MEDSQUFEE13780
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2024-06-01
Last Updated 2024-07-09 5:23 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 1820
2016-08-01 1811
2016-09-01 1800
2016-10-01 1792
2016-11-01 1776
2016-12-01 1749
2017-01-01 1748
2017-02-01 1736
2017-03-01 1773
2017-04-01 1776
2017-05-01 1804
2017-06-01 1814
2017-07-01 1820
2017-08-01 1824
2017-09-01 1827
2017-10-01 1807
2017-11-01 1806
2017-12-01 1780
2018-01-01 1751
2018-02-01 1754
2018-03-01 1769
2018-04-01 1799
2018-05-01 1824
2018-06-01 1827
2018-07-01 1854
2018-08-01 1813
2018-09-01 1800
2018-10-01 1785
2018-11-01 1762
2018-12-01 1743
2019-01-01 1726
2019-02-01 1752
2019-03-01 1773
2019-04-01 1808
2019-05-01 1850
2019-06-01 1851
2019-07-01 1812
2019-08-01 1825
2019-09-01 1845
2019-10-01 1858
2019-11-01 1824
2019-12-01 1807
2020-01-01 1807
2020-02-01 1852
2020-03-01 1875
2020-04-01 1860
2020-05-01 1864
2020-06-01 1942
2020-07-01 1935
2020-08-01 1878
2020-09-01 1950
2020-10-01 1872
2020-11-01 1879
2020-12-01 1801
2021-01-01 1744
2021-02-01 1800
2021-03-01 1864
2021-04-01 1869
2021-05-01 1880
2021-06-01 1862
2021-07-01 1874
2021-08-01 1858
2021-09-01 1838
2021-10-01 1806
2021-11-01 1815
2021-12-01 1770
2022-01-01 1761
2022-02-01 1868
2022-03-01 1870
2022-04-01 1832
2022-05-01 1928
2022-06-01 1872
2022-07-01 1862
2022-08-01 1808
2022-09-01 1821
2022-10-01 1872
2022-11-01 1882
2022-12-01 1924
2023-01-01 1812
2023-02-01 1862
2023-03-01 1888
2023-04-01 1903
2023-05-01 1873
2023-06-01 1880
2023-07-01 1858
2023-08-01 1828
2023-09-01 1744
2023-10-01 1735
2023-11-01 1720
2023-12-01 1704
2024-01-01 1691
2024-02-01 1645
2024-03-01 1744
2024-04-01 1785
2024-05-01 1822
2024-06-01 1800

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