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

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Title Housing Inventory: New Listing Count in Rochester, NY (CBSA)
Series ID NEWLISCOU40380
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 5:06 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 1476
2016-08-01 1352
2016-09-01 1156
2016-10-01 1068
2016-11-01 960
2016-12-01 708
2017-01-01 860
2017-02-01 1070
2017-03-01 1304
2017-04-01 1548
2017-05-01 1756
2017-06-01 1676
2017-07-01 1488
2017-08-01 1336
2017-09-01 1336
2017-10-01 1168
2017-11-01 898
2017-12-01 780
2018-01-01 778
2018-02-01 982
2018-03-01 1304
2018-04-01 1502
2018-05-01 1642
2018-06-01 1636
2018-07-01 1476
2018-08-01 1448
2018-09-01 1252
2018-10-01 1140
2018-11-01 982
2018-12-01 576
2019-01-01 818
2019-02-01 934
2019-03-01 1156
2019-04-01 1454
2019-05-01 1566
2019-06-01 1572
2019-07-01 1410
2019-08-01 1316
2019-09-01 1280
2019-10-01 1190
2019-11-01 844
2019-12-01 514
2020-01-01 772
2020-02-01 980
2020-03-01 1262
2020-04-01 584
2020-05-01 1068
2020-06-01 1532
2020-07-01 1380
2020-08-01 1420
2020-09-01 1322
2020-10-01 1240
2020-11-01 940
2020-12-01 594
2021-01-01 716
2021-02-01 762
2021-03-01 1016
2021-04-01 1226
2021-05-01 1308
2021-06-01 1502
2021-07-01 1508
2021-08-01 1336
2021-09-01 1150
2021-10-01 1048
2021-11-01 824
2021-12-01 578
2022-01-01 612
2022-02-01 654
2022-03-01 1004
2022-04-01 1188
2022-05-01 1342
2022-06-01 1422
2022-07-01 1176
2022-08-01 1126
2022-09-01 1082
2022-10-01 896
2022-11-01 742
2022-12-01 432
2023-01-01 564
2023-02-01 640
2023-03-01 752
2023-04-01 892
2023-05-01 1016
2023-06-01 1152
2023-07-01 1124
2023-08-01 1092
2023-09-01 996
2023-10-01 942
2023-11-01 692
2023-12-01 464
2024-01-01 562
2024-02-01 664
2024-03-01 820
2024-04-01 924
2024-05-01 1072

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