Table Data - Housing Inventory: Median Listing Price in Georgetown County, SC
| Title | Housing Inventory: Median Listing Price in Georgetown County, SC |
|---|---|
| Series ID | MEDLISPRI45043 |
| Source | Realtor.com |
| Release | Housing Inventory Core Metrics |
| Seasonal Adjustment | Not Seasonally Adjusted |
| Frequency | Monthly |
| Units | U.S. Dollars |
| Date Range | 2016-07-01 to 2026-09-01 |
| Last Updated | 2026-10-01 7:20 PM CDT |
| Notes | The median listing price 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 | 370000 |
| 2016-08-01 | 374900 |
| 2016-09-01 | 374950 |
| 2016-10-01 | 375000 |
| 2016-11-01 | 374875 |
| 2016-12-01 | 375000 |
| 2017-01-01 | 362950 |
| 2017-02-01 | 369950 |
| 2017-03-01 | 369950 |
| 2017-04-01 | 371450 |
| 2017-05-01 | 379900 |
| 2017-06-01 | 385000 |
| 2017-07-01 | 399900 |
| 2017-08-01 | 399488 |
| 2017-09-01 | 399938 |
| 2017-10-01 | 399994 |
| 2017-11-01 | 399000 |
| 2017-12-01 | 399000 |
| 2018-01-01 | 390000 |
| 2018-02-01 | 373475 |
| 2018-03-01 | 379900 |
| 2018-04-01 | 386995 |
| 2018-05-01 | 381947 |
| 2018-06-01 | 375250 |
| 2018-07-01 | 398750 |
| 2018-08-01 | 411950 |
| 2018-09-01 | 399900 |
| 2018-10-01 | 399675 |
| 2018-11-01 | 388250 |
| 2018-12-01 | 374900 |
| 2019-01-01 | 374900 |
| 2019-02-01 | 389400 |
| 2019-03-01 | 394171 |
| 2019-04-01 | 399900 |
| 2019-05-01 | 399450 |
| 2019-06-01 | 409000 |
| 2019-07-01 | 423995 |
| 2019-08-01 | 418873 |
| 2019-09-01 | 408257 |
| 2019-10-01 | 401180 |
| 2019-11-01 | 400000 |
| 2019-12-01 | 394473 |
| 2020-01-01 | 389104 |
| 2020-02-01 | 380000 |
| 2020-03-01 | 379675 |
| 2020-04-01 | 381950 |
| 2020-05-01 | 384900 |
| 2020-06-01 | 384450 |
| 2020-07-01 | 387615 |
| 2020-08-01 | 359900 |
| 2020-09-01 | 335450 |
| 2020-10-01 | 346043 |
| 2020-11-01 | 364850 |
| 2020-12-01 | 359000 |
| 2021-01-01 | 359000 |
| 2021-02-01 | 357450 |
| 2021-03-01 | 360975 |
| 2021-04-01 | 357500 |
| 2021-05-01 | 400000 |
| 2021-06-01 | 399000 |
| 2021-07-01 | 425000 |
| 2021-08-01 | 425000 |
| 2021-09-01 | 412925 |
| 2021-10-01 | 392000 |
| 2021-11-01 | 382000 |
| 2021-12-01 | 349948 |
| 2022-01-01 | 373500 |
| 2022-02-01 | 353875 |
| 2022-03-01 | 378500 |
| 2022-04-01 | 432000 |
| 2022-05-01 | 430250 |
| 2022-06-01 | 458475 |
| 2022-07-01 | 476450 |
| 2022-08-01 | 499225 |
| 2022-09-01 | 499225 |
| 2022-10-01 | 499900 |
| 2022-11-01 | 485500 |
| 2022-12-01 | 445000 |
| 2023-01-01 | 468995 |
| 2023-02-01 | 455123 |
| 2023-03-01 | 456990 |
| 2023-04-01 | 452395 |
| 2023-05-01 | 427425 |
| 2023-06-01 | 430000 |
| 2023-07-01 | 459990 |
| 2023-08-01 | 486600 |
| 2023-09-01 | 484500 |
| 2023-10-01 | 494350 |
| 2023-11-01 | 513725 |
| 2023-12-01 | 509900 |
| 2024-01-01 | 499638 |
| 2024-02-01 | 507413 |
| 2024-03-01 | 499000 |
| 2024-04-01 | 475806 |
| 2024-05-01 | 449000 |
| 2024-06-01 | 448000 |
| 2024-07-01 | 431750 |
| 2024-08-01 | 439900 |
| 2024-09-01 | 439000 |
| 2024-10-01 | 439000 |
| 2024-11-01 | 439000 |
| 2024-12-01 | 425975 |
| 2025-01-01 | 424995 |
| 2025-02-01 | 425498 |
| 2025-03-01 | 439900 |
| 2025-04-01 | 459448 |
| 2025-05-01 | 462825 |
| 2025-06-01 | 462448 |
| 2025-07-01 | 460631 |
| 2025-08-01 | 462825 |
| 2025-09-01 | 487500 |
| 2025-10-01 | 487225 |
| 2025-11-01 | 475000 |
| 2025-12-01 | 475000 |
| 2026-01-01 | 451000 |
| 2026-02-01 | 450000 |
| 2026-03-01 | 459000 |
| 2026-04-01 | 467250 |
| 2026-05-01 | 455000 |
| 2026-06-01 | 451250 |
| 2026-07-01 | 477000 |
| 2026-08-01 | 456500 |
| 2026-09-01 | 477500 |