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Table Data - Housing Inventory: Price Reduced Count in Lee County, FL

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Title Housing Inventory: Price Reduced Count in Lee County, FL
Series ID PRIREDCOU12071
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2024-06-01
Last Updated 2024-07-09 5:01 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 2608
2016-08-01 2456
2016-09-01 2342
2016-10-01 2648
2016-11-01 2800
2016-12-01 2736
2017-01-01 3778
2017-02-01 4484
2017-03-01 5064
2017-04-01 4260
2017-05-01 3654
2017-06-01 3182
2017-07-01 3032
2017-08-01 2506
2017-09-01 2012
2017-10-01 2484
2017-11-01 2802
2017-12-01 2572
2018-01-01 3502
2018-02-01 4622
2018-03-01 4728
2018-04-01 4464
2018-05-01 3806
2018-06-01 3448
2018-07-01 2904
2018-08-01 3100
2018-09-01 2848
2018-10-01 3200
2018-11-01 2686
2018-12-01 2304
2019-01-01 3796
2019-02-01 4422
2019-03-01 4028
2019-04-01 3172
2019-05-01 2752
2019-06-01 2180
2019-07-01 1876
2019-08-01 1844
2019-09-01 1808
2019-10-01 1820
2019-11-01 1948
2019-12-01 1576
2020-01-01 2644
2020-02-01 3028
2020-03-01 2726
2020-04-01 1272
2020-05-01 1484
2020-06-01 1536
2020-07-01 1438
2020-08-01 1276
2020-09-01 1036
2020-10-01 1064
2020-11-01 1064
2020-12-01 1012
2021-01-01 924
2021-02-01 764
2021-03-01 550
2021-04-01 468
2021-05-01 420
2021-06-01 522
2021-07-01 556
2021-08-01 606
2021-09-01 598
2021-10-01 596
2021-11-01 542
2021-12-01 480
2022-01-01 420
2022-02-01 442
2022-03-01 566
2022-04-01 776
2022-05-01 1198
2022-06-01 1700
2022-07-01 1956
2022-08-01 1850
2022-09-01 1968
2022-10-01 916
2022-11-01 1280
2022-12-01 1224
2023-01-01 1858
2023-02-01 2152
2023-03-01 2490
2023-04-01 2472
2023-05-01 2518
2023-06-01 2236
2023-07-01 2264
2023-08-01 2088
2023-09-01 2312
2023-10-01 2874
2023-11-01 3200
2023-12-01 2380
2024-01-01 3824
2024-02-01 4690
2024-03-01 5108
2024-04-01 4608
2024-05-01 3756
2024-06-01 3472

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