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Table Data - Housing Inventory: New Listing Count in Monroe County, NY

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Title Housing Inventory: New Listing Count in Monroe County, NY
Series ID NEWLISCOU36055
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 1004
2016-08-01 938
2016-09-01 874
2016-10-01 724
2016-11-01 668
2016-12-01 524
2017-01-01 596
2017-02-01 740
2017-03-01 924
2017-04-01 1096
2017-05-01 1220
2017-06-01 1170
2017-07-01 1012
2017-08-01 908
2017-09-01 880
2017-10-01 786
2017-11-01 628
2017-12-01 532
2018-01-01 566
2018-02-01 688
2018-03-01 908
2018-04-01 1064
2018-05-01 1110
2018-06-01 1112
2018-07-01 994
2018-08-01 936
2018-09-01 884
2018-10-01 776
2018-11-01 660
2018-12-01 404
2019-01-01 584
2019-02-01 608
2019-03-01 796
2019-04-01 1042
2019-05-01 1122
2019-06-01 1072
2019-07-01 970
2019-08-01 888
2019-09-01 856
2019-10-01 800
2019-11-01 612
2019-12-01 374
2020-01-01 530
2020-02-01 684
2020-03-01 902
2020-04-01 422
2020-05-01 768
2020-06-01 1044
2020-07-01 986
2020-08-01 1008
2020-09-01 944
2020-10-01 816
2020-11-01 698
2020-12-01 434
2021-01-01 496
2021-02-01 532
2021-03-01 736
2021-04-01 904
2021-05-01 984
2021-06-01 1090
2021-07-01 1060
2021-08-01 940
2021-09-01 852
2021-10-01 756
2021-11-01 600
2021-12-01 416
2022-01-01 420
2022-02-01 484
2022-03-01 734
2022-04-01 792
2022-05-01 916
2022-06-01 1020
2022-07-01 824
2022-08-01 774
2022-09-01 786
2022-10-01 624
2022-11-01 536
2022-12-01 292
2023-01-01 412
2023-02-01 476
2023-03-01 548
2023-04-01 628
2023-05-01 742
2023-06-01 878
2023-07-01 820
2023-08-01 802
2023-09-01 716
2023-10-01 676
2023-11-01 502
2023-12-01 336
2024-01-01 446
2024-02-01 490
2024-03-01 576
2024-04-01 666
2024-05-01 752

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