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Table Data - Housing Inventory: Median Home Size in Square Feet in Lancaster County, SC

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Title Housing Inventory: Median Home Size in Square Feet in Lancaster County, SC
Series ID MEDSQUFEE45057
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2024-05-01
Last Updated 2024-06-04 4:41 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 2286
2016-08-01 2376
2016-09-01 2364
2016-10-01 2314
2016-11-01 2314
2016-12-01 2375
2017-01-01 2432
2017-02-01 2324
2017-03-01 2433
2017-04-01 2439
2017-05-01 2434
2017-06-01 2425
2017-07-01 2383
2017-08-01 2514
2017-09-01 2558
2017-10-01 2552
2017-11-01 2479
2017-12-01 2445
2018-01-01 2422
2018-02-01 2422
2018-03-01 2475
2018-04-01 2498
2018-05-01 2478
2018-06-01 2641
2018-07-01 2606
2018-08-01 2602
2018-09-01 2589
2018-10-01 2523
2018-11-01 2514
2018-12-01 2478
2019-01-01 2496
2019-02-01 2511
2019-03-01 2526
2019-04-01 2508
2019-05-01 2582
2019-06-01 2589
2019-07-01 2584
2019-08-01 2561
2019-09-01 2547
2019-10-01 2521
2019-11-01 2439
2019-12-01 2370
2020-01-01 2311
2020-02-01 2406
2020-03-01 2433
2020-04-01 2459
2020-05-01 2563
2020-06-01 2504
2020-07-01 2529
2020-08-01 2568
2020-09-01 2568
2020-10-01 2624
2020-11-01 2684
2020-12-01 2720
2021-01-01 2441
2021-02-01 2390
2021-03-01 2367
2021-04-01 2335
2021-05-01 2211
2021-06-01 2226
2021-07-01 2149
2021-08-01 2153
2021-09-01 2291
2021-10-01 2294
2021-11-01 1930
2021-12-01 1832
2022-01-01 1899
2022-02-01 2105
2022-03-01 2113
2022-04-01 2115
2022-05-01 2427
2022-06-01 2382
2022-07-01 2251
2022-08-01 2246
2022-09-01 2225
2022-10-01 2095
2022-11-01 1969
2022-12-01 1830
2023-01-01 1840
2023-02-01 1793
2023-03-01 1937
2023-04-01 2086
2023-05-01 1983
2023-06-01 2016
2023-07-01 1956
2023-08-01 1899
2023-09-01 1963
2023-10-01 1931
2023-11-01 1865
2023-12-01 1819
2024-01-01 1745
2024-02-01 1725
2024-03-01 1782
2024-04-01 1839
2024-05-01 1982

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