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Table Data - Housing Inventory: Price Reduced Count in Syracuse, NY (CBSA)

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Title Housing Inventory: Price Reduced Count in Syracuse, NY (CBSA)
Series ID PRIREDCOU45060
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 listings which have had their price reduced 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
2016-07-01 796
2016-08-01 802
2016-09-01 768
2016-10-01 716
2016-11-01 598
2016-12-01 312
2017-01-01 482
2017-02-01 386
2017-03-01 440
2017-04-01 460
2017-05-01 590
2017-06-01 614
2017-07-01 704
2017-08-01 712
2017-09-01 676
2017-10-01 726
2017-11-01 596
2017-12-01 384
2018-01-01 304
2018-02-01 346
2018-03-01 344
2018-04-01 352
2018-05-01 568
2018-06-01 684
2018-07-01 762
2018-08-01 736
2018-09-01 728
2018-10-01 670
2018-11-01 484
2018-12-01 280
2019-01-01 296
2019-02-01 264
2019-03-01 276
2019-04-01 334
2019-05-01 428
2019-06-01 520
2019-07-01 604
2019-08-01 612
2019-09-01 586
2019-10-01 566
2019-11-01 400
2019-12-01 188
2020-01-01 252
2020-02-01 252
2020-03-01 230
2020-04-01 90
2020-05-01 160
2020-06-01 246
2020-07-01 268
2020-08-01 308
2020-09-01 284
2020-10-01 324
2020-11-01 224
2020-12-01 138
2021-01-01 124
2021-02-01 110
2021-03-01 84
2021-04-01 120
2021-05-01 128
2021-06-01 188
2021-07-01 276
2021-08-01 342
2021-09-01 306
2021-10-01 296
2021-11-01 224
2021-12-01 144
2022-01-01 72
2022-02-01 76
2022-03-01 76
2022-04-01 76
2022-05-01 106
2022-06-01 188
2022-07-01 216
2022-08-01 252
2022-09-01 256
2022-10-01 228
2022-11-01 166
2022-12-01 64
2023-01-01 94
2023-02-01 74
2023-03-01 88
2023-04-01 96
2023-05-01 114
2023-06-01 120
2023-07-01 140
2023-08-01 162
2023-09-01 176
2023-10-01 208
2023-11-01 176
2023-12-01 132
2024-01-01 104
2024-02-01 96
2024-03-01 100
2024-04-01 102
2024-05-01 116

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