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Table Data - Housing Inventory: New Listing Count in Syracuse, NY (CBSA)

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Title Housing Inventory: New Listing Count in Syracuse, NY (CBSA)
Series ID NEWLISCOU45060
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 5:03 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
2016-07-01 964
2016-08-01 784
2016-09-01 746
2016-10-01 672
2016-11-01 540
2016-12-01 436
2017-01-01 508
2017-02-01 620
2017-03-01 810
2017-04-01 972
2017-05-01 1016
2017-06-01 912
2017-07-01 868
2017-08-01 846
2017-09-01 708
2017-10-01 702
2017-11-01 548
2017-12-01 476
2018-01-01 440
2018-02-01 538
2018-03-01 696
2018-04-01 848
2018-05-01 950
2018-06-01 1044
2018-07-01 836
2018-08-01 838
2018-09-01 668
2018-10-01 632
2018-11-01 452
2018-12-01 348
2019-01-01 418
2019-02-01 566
2019-03-01 716
2019-04-01 832
2019-05-01 946
2019-06-01 964
2019-07-01 854
2019-08-01 792
2019-09-01 756
2019-10-01 694
2019-11-01 400
2019-12-01 316
2020-01-01 440
2020-02-01 464
2020-03-01 620
2020-04-01 292
2020-05-01 512
2020-06-01 894
2020-07-01 792
2020-08-01 812
2020-09-01 774
2020-10-01 684
2020-11-01 430
2020-12-01 374
2021-01-01 492
2021-02-01 460
2021-03-01 672
2021-04-01 844
2021-05-01 912
2021-06-01 1050
2021-07-01 924
2021-08-01 990
2021-09-01 758
2021-10-01 732
2021-11-01 644
2021-12-01 424
2022-01-01 388
2022-02-01 420
2022-03-01 492
2022-04-01 672
2022-05-01 772
2022-06-01 792
2022-07-01 712
2022-08-01 624
2022-09-01 630
2022-10-01 544
2022-11-01 392
2022-12-01 232
2023-01-01 272
2023-02-01 330
2023-03-01 416
2023-04-01 508
2023-05-01 576
2023-06-01 640
2023-07-01 624
2023-08-01 624
2023-09-01 556
2023-10-01 486
2023-11-01 448
2023-12-01 292
2024-01-01 310
2024-02-01 340
2024-03-01 416
2024-04-01 458
2024-05-01 608

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