Federal Reserve Economic Data

Table Data - Housing Inventory: Median Home Size in Square Feet in Lackawanna County, PA

Title Housing Inventory: Median Home Size in Square Feet in Lackawanna County, PA
Series ID MEDSQUFEE42069
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2024-08-01
Last Updated 2024-09-05 4:43 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 1850
2016-08-01 1850
2016-09-01 1831
2016-10-01 1850
2016-11-01 1820
2016-12-01 1800
2017-01-01 1800
2017-02-01 1800
2017-03-01 1821
2017-04-01 1840
2017-05-01 1838
2017-06-01 1878
2017-07-01 1900
2017-08-01 1853
2017-09-01 1874
2017-10-01 1801
2017-11-01 1775
2017-12-01 1763
2018-01-01 1744
2018-02-01 1732
2018-03-01 1752
2018-04-01 1800
2018-05-01 1866
2018-06-01 1896
2018-07-01 1881
2018-08-01 1810
2018-09-01 1807
2018-10-01 1795
2018-11-01 1800
2018-12-01 1750
2019-01-01 1750
2019-02-01 1770
2019-03-01 1817
2019-04-01 1858
2019-05-01 1872
2019-06-01 1890
2019-07-01 1866
2019-08-01 1857
2019-09-01 1887
2019-10-01 1908
2019-11-01 1912
2019-12-01 1914
2020-01-01 1848
2020-02-01 1832
2020-03-01 1800
2020-04-01 1800
2020-05-01 1830
2020-06-01 1921
2020-07-01 1968
2020-08-01 1950
2020-09-01 1936
2020-10-01 1960
2020-11-01 1890
2020-12-01 1844
2021-01-01 1800
2021-02-01 1830
2021-03-01 1800
2021-04-01 1820
2021-05-01 1875
2021-06-01 1903
2021-07-01 1850
2021-08-01 1975
2021-09-01 1947
2021-10-01 1840
2021-11-01 1836
2021-12-01 1835
2022-01-01 1816
2022-02-01 1838
2022-03-01 1785
2022-04-01 1870
2022-05-01 1898
2022-06-01 1921
2022-07-01 1900
2022-08-01 1883
2022-09-01 1886
2022-10-01 1950
2022-11-01 1940
2022-12-01 1884
2023-01-01 1920
2023-02-01 1886
2023-03-01 1912
2023-04-01 1941
2023-05-01 1905
2023-06-01 1927
2023-07-01 1922
2023-08-01 1931
2023-09-01 1909
2023-10-01 1916
2023-11-01 1886
2023-12-01 1830
2024-01-01 1801
2024-02-01 1780
2024-03-01 1800
2024-04-01 1764
2024-05-01 1789
2024-06-01 1765
2024-07-01 1855
2024-08-01 1880

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