Federal Reserve Economic Data

Table Data - Housing Inventory: Pending Listing Count in Myrtle Beach-Conway-North Myrtle Beach, SC-NC (CBSA)

Title Housing Inventory: Pending Listing Count in Myrtle Beach-Conway-North Myrtle Beach, SC-NC (CBSA)
Series ID PENLISCOU34820
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2024-09-01
Last Updated 2024-10-03 5:07 PM CDT
Notes The count of pending listings in a given market during the specified month, if a pending definition is available for that geography.

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 3081
2016-08-01 3066
2016-09-01 3198
2016-10-01 2943
2016-11-01 2751
2016-12-01 2591
2017-01-01 2401
2017-02-01 2861
2017-03-01 3206
2017-04-01 3405
2017-05-01 3492
2017-06-01 3527
2017-07-01 3483
2017-08-01 3459
2017-09-01 3217
2017-10-01 3127
2017-11-01 3059
2017-12-01 2792
2018-01-01 2605
2018-02-01 2966
2018-03-01 3327
2018-04-01 3540
2018-05-01 3657
2018-06-01 3578
2018-07-01 3466
2018-08-01 3390
2018-09-01 3375
2018-10-01 2896
2018-11-01 2840
2018-12-01 2608
2019-01-01 2423
2019-02-01 2896
2019-03-01 3173
2019-04-01 3268
2019-05-01 3392
2019-06-01 3285
2019-07-01 3300
2019-08-01 3287
2019-09-01 3121
2019-10-01 3012
2019-11-01 2970
2019-12-01 2737
2020-01-01 2616
2020-02-01 3153
2020-03-01 3445
2020-04-01 2958
2020-05-01 3155
2020-06-01 4139
2020-07-01 4290
2020-08-01 4374
2020-09-01 4617
2020-10-01 4567
2020-11-01 4465
2020-12-01 4075
2021-01-01 3975
2021-02-01 4892
2021-03-01 5364
2021-04-01 5581
2021-05-01 5666
2021-06-01 5374
2021-07-01 5094
2021-08-01 5111
2021-09-01 5169
2021-10-01 5222
2021-11-01 5157
2021-12-01 4865
2022-01-01 4537
2022-02-01 4968
2022-03-01 4816
2022-04-01 4709
2022-05-01 4633
2022-06-01 4399
2022-07-01 4066
2022-08-01 3979
2022-09-01 3829
2022-10-01 3345
2022-11-01 3069
2022-12-01 2708
2023-01-01 2669
2023-02-01 3261
2023-03-01 3513
2023-04-01 3524
2023-05-01 3510
2023-06-01 3376
2023-07-01 3283
2023-08-01 3311
2023-09-01 3186
2023-10-01 3050
2023-11-01 2775
2023-12-01 2549
2024-01-01 2481
2024-02-01 2974
2024-03-01 3454
2024-04-01 3579
2024-05-01 3594
2024-06-01 3592
2024-07-01 3565
2024-08-01 3415
2024-09-01 3417

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