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Table Data - Housing Inventory: New Listing Count in Hudson County, NJ

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Title Housing Inventory: New Listing Count in Hudson County, NJ
Series ID NEWLISCOU34017
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 4:50 PM CDT
Notes The count of new listings added to the market in a given geography 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
2016-07-01 424
2016-08-01 458
2016-09-01 524
2016-10-01 428
2016-11-01 388
2016-12-01 320
2017-01-01 436
2017-02-01 480
2017-03-01 540
2017-04-01 556
2017-05-01 638
2017-06-01 594
2017-07-01 544
2017-08-01 484
2017-09-01 560
2017-10-01 498
2017-11-01 406
2017-12-01 356
2018-01-01 482
2018-02-01 498
2018-03-01 640
2018-04-01 670
2018-05-01 680
2018-06-01 684
2018-07-01 574
2018-08-01 488
2018-09-01 1472
2018-10-01 552
2018-11-01 452
2018-12-01 388
2019-01-01 558
2019-02-01 590
2019-03-01 644
2019-04-01 682
2019-05-01 694
2019-06-01 512
2019-07-01 534
2019-08-01 520
2019-09-01 546
2019-10-01 490
2019-11-01 372
2019-12-01 204
2020-01-01 500
2020-02-01 476
2020-03-01 532
2020-04-01 264
2020-05-01 468
2020-06-01 710
2020-07-01 682
2020-08-01 712
2020-09-01 814
2020-10-01 680
2020-11-01 498
2020-12-01 422
2021-01-01 568
2021-02-01 546
2021-03-01 670
2021-04-01 712
2021-05-01 744
2021-06-01 702
2021-07-01 552
2021-08-01 596
2021-09-01 676
2021-10-01 580
2021-11-01 438
2021-12-01 422
2022-01-01 540
2022-02-01 598
2022-03-01 710
2022-04-01 724
2022-05-01 614
2022-06-01 658
2022-07-01 508
2022-08-01 496
2022-09-01 510
2022-10-01 356
2022-11-01 354
2022-12-01 228
2023-01-01 322
2023-02-01 422
2023-03-01 436
2023-04-01 464
2023-05-01 480
2023-06-01 406
2023-07-01 380
2023-08-01 390
2023-09-01 436
2023-10-01 376
2023-11-01 388
2023-12-01 392
2024-01-01 352
2024-02-01 374
2024-03-01 376
2024-04-01 516
2024-05-01 480

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