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 2025-01-01
Last Updated 2025-01-30 4:42 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 1850
2016-08-01 1850
2016-09-01 1830
2016-10-01 1850
2016-11-01 1821
2016-12-01 1800
2017-01-01 1800
2017-02-01 1800
2017-03-01 1824
2017-04-01 1843
2017-05-01 1840
2017-06-01 1876
2017-07-01 1885
2017-08-01 1852
2017-09-01 1866
2017-10-01 1801
2017-11-01 1775
2017-12-01 1764
2018-01-01 1745
2018-02-01 1737
2018-03-01 1752
2018-04-01 1800
2018-05-01 1866
2018-06-01 1892
2018-07-01 1880
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 1813
2019-04-01 1853
2019-05-01 1872
2019-06-01 1890
2019-07-01 1865
2019-08-01 1857
2019-09-01 1888
2019-10-01 1909
2019-11-01 1910
2019-12-01 1913
2020-01-01 1846
2020-02-01 1829
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 1891
2020-12-01 1845
2021-01-01 1800
2021-02-01 1838
2021-03-01 1808
2021-04-01 1829
2021-05-01 1886
2021-06-01 1911
2021-07-01 1860
2021-08-01 1979
2021-09-01 1947
2021-10-01 1840
2021-11-01 1845
2021-12-01 1838
2022-01-01 1834
2022-02-01 1839
2022-03-01 1785
2022-04-01 1870
2022-05-01 1899
2022-06-01 1924
2022-07-01 1901
2022-08-01 1886
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 1906
2023-10-01 1916
2023-11-01 1886
2023-12-01 1818
2024-01-01 1800
2024-02-01 1748
2024-03-01 1800
2024-04-01 1764
2024-05-01 1790
2024-06-01 1760
2024-07-01 1855
2024-08-01 1879
2024-09-01 1825
2024-10-01 1893
2024-11-01 1910
2024-12-01 1856
2025-01-01 1839

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