Federal Reserve Economic Data

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

Title Housing Inventory: Median Home Size in Square Feet in Pike County, PA
Series ID MEDSQUFEE42103
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2024-10-01
Last Updated 2024-10-31 4:40 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 2019
2016-08-01 2039
2016-09-01 2015
2016-10-01 2016
2016-11-01 2000
2016-12-01 1976
2017-01-01 1982
2017-02-01 2000
2017-03-01 1931
2017-04-01 2000
2017-05-01 2002
2017-06-01 2000
2017-07-01 1991
2017-08-01 1970
2017-09-01 1980
2017-10-01 1988
2017-11-01 1995
2017-12-01 1924
2018-01-01 1852
2018-02-01 1861
2018-03-01 1894
2018-04-01 1909
2018-05-01 1895
2018-06-01 1898
2018-07-01 1914
2018-08-01 1941
2018-09-01 1920
2018-10-01 1905
2018-11-01 1915
2018-12-01 1920
2019-01-01 1950
2019-02-01 1995
2019-03-01 2061
2019-04-01 2108
2019-05-01 2153
2019-06-01 2150
2019-07-01 2154
2019-08-01 2163
2019-09-01 2167
2019-10-01 2185
2019-11-01 2192
2019-12-01 2165
2020-01-01 2191
2020-02-01 2207
2020-03-01 2186
2020-04-01 2200
2020-05-01 2207
2020-06-01 2230
2020-07-01 2338
2020-08-01 2288
2020-09-01 2227
2020-10-01 2200
2020-11-01 2293
2020-12-01 2269
2021-01-01 2283
2021-02-01 2316
2021-03-01 2251
2021-04-01 2342
2021-05-01 2304
2021-06-01 2233
2021-07-01 2284
2021-08-01 2221
2021-09-01 2204
2021-10-01 2156
2021-11-01 2170
2021-12-01 2183
2022-01-01 2187
2022-02-01 2280
2022-03-01 2261
2022-04-01 2280
2022-05-01 2193
2022-06-01 2197
2022-07-01 2122
2022-08-01 2161
2022-09-01 2104
2022-10-01 2156
2022-11-01 2186
2022-12-01 2164
2023-01-01 2188
2023-02-01 2156
2023-03-01 2178
2023-04-01 2205
2023-05-01 2194
2023-06-01 2156
2023-07-01 2248
2023-08-01 2190
2023-09-01 2156
2023-10-01 2156
2023-11-01 1968
2023-12-01 1928
2024-01-01 1902
2024-02-01 1980
2024-03-01 1924
2024-04-01 1879
2024-05-01 1915
2024-06-01 1916
2024-07-01 1960
2024-08-01 1863
2024-09-01 1850
2024-10-01 1840

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