Federal Reserve Economic Data

Table Data - Housing Inventory: Median Home Size in Square Feet in Broome County, NY

Title Housing Inventory: Median Home Size in Square Feet in Broome County, NY
Series ID MEDSQUFEE36007
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2025-01-01
Last Updated 2025-01-30 4:50 PM CST
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 1747
2016-08-01 1748
2016-09-01 1738
2016-10-01 1718
2016-11-01 1700
2016-12-01 1693
2017-01-01 1691
2017-02-01 1688
2017-03-01 1719
2017-04-01 1730
2017-05-01 1770
2017-06-01 1766
2017-07-01 1777
2017-08-01 1779
2017-09-01 1764
2017-10-01 1753
2017-11-01 1767
2017-12-01 1750
2018-01-01 1725
2018-02-01 1723
2018-03-01 1738
2018-04-01 1771
2018-05-01 1808
2018-06-01 1813
2018-07-01 1842
2018-08-01 1797
2018-09-01 1772
2018-10-01 1747
2018-11-01 1738
2018-12-01 1718
2019-01-01 1706
2019-02-01 1719
2019-03-01 1738
2019-04-01 1782
2019-05-01 1812
2019-06-01 1820
2019-07-01 1800
2019-08-01 1813
2019-09-01 1833
2019-10-01 1842
2019-11-01 1812
2019-12-01 1796
2020-01-01 1791
2020-02-01 1822
2020-03-01 1835
2020-04-01 1800
2020-05-01 1827
2020-06-01 1868
2020-07-01 1825
2020-08-01 1850
2020-09-01 1907
2020-10-01 1836
2020-11-01 1857
2020-12-01 1815
2021-01-01 1747
2021-02-01 1799
2021-03-01 1872
2021-04-01 1854
2021-05-01 1848
2021-06-01 1801
2021-07-01 1852
2021-08-01 1825
2021-09-01 1793
2021-10-01 1739
2021-11-01 1730
2021-12-01 1673
2022-01-01 1690
2022-02-01 1799
2022-03-01 1783
2022-04-01 1762
2022-05-01 1804
2022-06-01 1786
2022-07-01 1755
2022-08-01 1785
2022-09-01 1800
2022-10-01 1869
2022-11-01 1948
2022-12-01 1995
2023-01-01 1870
2023-02-01 1867
2023-03-01 1929
2023-04-01 1953
2023-05-01 1885
2023-06-01 1870
2023-07-01 1831
2023-08-01 1823
2023-09-01 1744
2023-10-01 1711
2023-11-01 1692
2023-12-01 1701
2024-01-01 1625
2024-02-01 1593
2024-03-01 1702
2024-04-01 1750
2024-05-01 1801
2024-06-01 1769
2024-07-01 1763
2024-08-01 1793
2024-09-01 1790
2024-10-01 1772
2024-11-01 1728
2024-12-01 1746
2025-01-01 1700

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