Federal Reserve Economic Data

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

Title Housing Inventory: Median Home Size in Square Feet in Lima, OH (CBSA)
Series ID MEDSQUFEE30620
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 5:31 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 1596
2016-08-01 1600
2016-09-01 1606
2016-10-01 1600
2016-11-01 1569
2016-12-01 1543
2017-01-01 1508
2017-02-01 1565
2017-03-01 1603
2017-04-01 1592
2017-05-01 1599
2017-06-01 1564
2017-07-01 1586
2017-08-01 1587
2017-09-01 1588
2017-10-01 1573
2017-11-01 1576
2017-12-01 1522
2018-01-01 1523
2018-02-01 1514
2018-03-01 1632
2018-04-01 1630
2018-05-01 1643
2018-06-01 1640
2018-07-01 1637
2018-08-01 1628
2018-09-01 1635
2018-10-01 1639
2018-11-01 1638
2018-12-01 1591
2019-01-01 1615
2019-02-01 1574
2019-03-01 1585
2019-04-01 1617
2019-05-01 1634
2019-06-01 1623
2019-07-01 1588
2019-08-01 1646
2019-09-01 1642
2019-10-01 1639
2019-11-01 1644
2019-12-01 1727
2020-01-01 1619
2020-02-01 1572
2020-03-01 1597
2020-04-01 1600
2020-05-01 1598
2020-06-01 1536
2020-07-01 1549
2020-08-01 1639
2020-09-01 1715
2020-10-01 1676
2020-11-01 1565
2020-12-01 1593
2021-01-01 1529
2021-02-01 1565
2021-03-01 1510
2021-04-01 1448
2021-05-01 1446
2021-06-01 1408
2021-07-01 1381
2021-08-01 1396
2021-09-01 1415
2021-10-01 1404
2021-11-01 1379
2021-12-01 1373
2022-01-01 1529
2022-02-01 1648
2022-03-01 1697
2022-04-01 1472
2022-05-01 1668
2022-06-01 1547
2022-07-01 1600
2022-08-01 1659
2022-09-01 1587
2022-10-01 1625
2022-11-01 1581
2022-12-01 1574
2023-01-01 1574
2023-02-01 1588
2023-03-01 1638
2023-04-01 1744
2023-05-01 1758
2023-06-01 1738
2023-07-01 1720
2023-08-01 1589
2023-09-01 1632
2023-10-01 1631
2023-11-01 1514
2023-12-01 1474
2024-01-01 1455
2024-02-01 1468
2024-03-01 1690
2024-04-01 1722
2024-05-01 1729
2024-06-01 1696
2024-07-01 1661
2024-08-01 1707
2024-09-01 1621
2024-10-01 1660

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