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Table Data - Housing Inventory: Price Increased Count in Alabama

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Title Housing Inventory: Price Increased Count in Alabama
Series ID PRIINCCOUAL
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 5:21 PM CDT
Notes The count of listings which have had their price increased in a given market during the 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
2016-07-01 368
2016-08-01 452
2016-09-01 424
2016-10-01 520
2016-11-01 384
2016-12-01 468
2017-01-01 552
2017-02-01 720
2017-03-01 748
2017-04-01 492
2017-05-01 624
2017-06-01 596
2017-07-01 552
2017-08-01 478
2017-09-01 436
2017-10-01 514
2017-11-01 548
2017-12-01 384
2018-01-01 520
2018-02-01 804
2018-03-01 572
2018-04-01 648
2018-05-01 818
2018-06-01 812
2018-07-01 582
2018-08-01 494
2018-09-01 536
2018-10-01 510
2018-11-01 428
2018-12-01 436
2019-01-01 486
2019-02-01 490
2019-03-01 456
2019-04-01 430
2019-05-01 536
2019-06-01 532
2019-07-01 450
2019-08-01 396
2019-09-01 374
2019-10-01 362
2019-11-01 344
2019-12-01 376
2020-01-01 472
2020-02-01 684
2020-03-01 594
2020-04-01 504
2020-05-01 660
2020-06-01 894
2020-07-01 582
2020-08-01 804
2020-09-01 1054
2020-10-01 868
2020-11-01 686
2020-12-01 690
2021-01-01 1012
2021-02-01 854
2021-03-01 834
2021-04-01 1000
2021-05-01 860
2021-06-01 596
2021-07-01 376
2021-08-01 458
2021-09-01 466
2021-10-01 404
2021-11-01 496
2021-12-01 474
2022-01-01 456
2022-02-01 558
2022-03-01 618
2022-04-01 596
2022-05-01 390
2022-06-01 386
2022-07-01 328
2022-08-01 292
2022-09-01 350
2022-10-01 312
2022-11-01 368
2022-12-01 244
2023-01-01 378
2023-02-01 484
2023-03-01 510
2023-04-01 516
2023-05-01 426
2023-06-01 472
2023-07-01 528
2023-08-01 602
2023-09-01 552
2023-10-01 310
2023-11-01 320
2023-12-01 324
2024-01-01 516
2024-02-01 360
2024-03-01 716
2024-04-01 500
2024-05-01 404

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