Table Data - Housing Inventory: Pending Ratio in New London County, CT

Title Housing Inventory: Pending Ratio in New London County, CT
Series ID PENRAT9011
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Ratio
Date Range 2016-07-01 to 2024-12-01
Last Updated 2025-01-07 4:23 PM CST
Notes The share of pending listing to active listings in a given market during the specified 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 0.1727
2016-08-01 0.1628
2016-09-01 0.1628
2016-10-01 0.1457
2016-11-01 0.1524
2016-12-01 0.1405
2017-01-01 0.1273
2017-02-01 0.1371
2017-03-01 0.1937
2017-04-01 0.2486
2017-05-01 0.2556
2017-06-01 0.2398
2017-07-01 0.2298
2017-08-01 0.1414
2017-09-01 0.1349
2017-10-01 0.1114
2017-11-01 0.0958
2017-12-01 0.0946
2018-01-01 0.1169
2018-02-01 0.1459
2018-03-01 0.1881
2018-04-01 0.2048
2018-05-01 0.2102
2018-06-01 0.2165
2018-07-01 0.1815
2018-08-01 0.1820
2018-09-01 0.1643
2018-10-01 0.1580
2018-11-01 0.1629
2018-12-01 0.1520
2019-01-01 0.1682
2019-02-01 0.1839
2019-03-01 0.2083
2019-04-01 0.2420
2019-05-01 0.2556
2019-06-01 0.2161
2019-07-01 0.2184
2019-08-01 0.2088
2019-09-01 0.1934
2019-10-01 0.1799
2019-11-01 0.1820
2019-12-01 0.1733
2020-01-01 0.1824
2020-02-01 0.2289
2020-03-01 0.2916
2020-04-01 0.2851
2020-05-01 0.3700
2020-06-01 0.5132
2020-07-01 0.6403
2020-08-01 0.6767
2020-09-01 0.6439
2020-10-01 0.5679
2020-11-01 0.5690
2020-12-01 0.5228
2021-01-01 0.5333
2021-02-01 0.7553
2021-03-01 0.8186
2021-04-01 0.8258
2021-05-01 0.8586
2021-06-01 1.2149
2021-07-01 1.5176
2021-08-01 1.3901
2021-09-01 1.3988
2021-10-01 1.3454
2021-11-01 1.4405
2021-12-01 1.5900
2022-01-01 1.7852
2022-02-01 1.7099
2022-03-01 1.7190
2022-04-01 2.0635
2022-05-01 1.8219
2022-06-01 1.5143
2022-07-01 1.3069
2022-08-01 1.3062
2022-09-01 1.2254
2022-10-01 1.1547
2022-11-01 1.0920
2022-12-01 1.0836
2023-01-01 1.1339
2023-02-01 1.3397
2023-03-01 1.4688
2023-04-01 1.4929
2023-05-01 1.4207
2023-06-01 1.4901
2023-07-01 1.4441
2023-08-01 1.3298
2023-09-01 1.4045
2023-10-01 1.1994
2023-11-01 1.1074
2023-12-01 1.1086
2024-01-01 0.9580
2024-02-01 1.1703
2024-03-01 1.3047
2024-04-01 1.3156
2024-05-01 1.1884
2024-06-01 1.2513
2024-07-01 1.2846
2024-08-01 1.1241
2024-09-01 0.9775
2024-10-01 1.0527
2024-11-01 1.0623
2024-12-01 1.2043

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