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Table Data - Housing Inventory: Price Increased Count in Connecticut

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Title Housing Inventory: Price Increased Count in Connecticut
Series ID PRIINCCOUCT
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 5:21 PM CDT
Notes The count of listings which have had their price increased 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
2016-07-01 144
2016-08-01 130
2016-09-01 124
2016-10-01 144
2016-11-01 90
2016-12-01 76
2017-01-01 130
2017-02-01 94
2017-03-01 88
2017-04-01 120
2017-05-01 130
2017-06-01 112
2017-07-01 100
2017-08-01 102
2017-09-01 116
2017-10-01 90
2017-11-01 92
2017-12-01 76
2018-01-01 98
2018-02-01 118
2018-03-01 124
2018-04-01 98
2018-05-01 128
2018-06-01 152
2018-07-01 114
2018-08-01 106
2018-09-01 108
2018-10-01 104
2018-11-01 84
2018-12-01 72
2019-01-01 104
2019-02-01 84
2019-03-01 60
2019-04-01 74
2019-05-01 94
2019-06-01 96
2019-07-01 106
2019-08-01 64
2019-09-01 72
2019-10-01 72
2019-11-01 92
2019-12-01 50
2020-01-01 92
2020-02-01 100
2020-03-01 94
2020-04-01 68
2020-05-01 116
2020-06-01 172
2020-07-01 160
2020-08-01 236
2020-09-01 292
2020-10-01 212
2020-11-01 110
2020-12-01 104
2021-01-01 184
2021-02-01 206
2021-03-01 240
2021-04-01 228
2021-05-01 172
2021-06-01 124
2021-07-01 112
2021-08-01 200
2021-09-01 104
2021-10-01 144
2021-11-01 88
2021-12-01 184
2022-01-01 160
2022-02-01 166
2022-03-01 144
2022-04-01 112
2022-05-01 104
2022-06-01 88
2022-07-01 72
2022-08-01 68
2022-09-01 72
2022-10-01 44
2022-11-01 52
2022-12-01 68
2023-01-01 66
2023-02-01 108
2023-03-01 84
2023-04-01 64
2023-05-01 100
2023-06-01 80
2023-07-01 60
2023-08-01 72
2023-09-01 56
2023-10-01 56
2023-11-01 42
2023-12-01 40
2024-01-01 46
2024-02-01 56
2024-03-01 60
2024-04-01 54
2024-05-01 68

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