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Table Data - Housing Inventory: New Listing Count in Middlesex County, CT

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Title Housing Inventory: New Listing Count in Middlesex County, CT
Series ID NEWLISCOU9007
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2024-02-01
Last Updated 2024-03-21 1:47 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
2016-07-01 300
2016-08-01 304
2016-09-01 304
2016-10-01 260
2016-11-01 240
2016-12-01 180
2017-01-01 238
2017-02-01 242
2017-03-01 320
2017-04-01 380
2017-05-01 408
2017-06-01 358
2017-07-01 284
2017-08-01 322
2017-09-01 296
2017-10-01 256
2017-11-01 212
2017-12-01 156
2018-01-01 178
2018-02-01 274
2018-03-01 292
2018-04-01 388
2018-05-01 406
2018-06-01 344
2018-07-01 296
2018-08-01 258
2018-09-01 292
2018-10-01 282
2018-11-01 244
2018-12-01 124
2019-01-01 178
2019-02-01 220
2019-03-01 312
2019-04-01 392
2019-05-01 386
2019-06-01 344
2019-07-01 256
2019-08-01 244
2019-09-01 262
2019-10-01 242
2019-11-01 180
2019-12-01 160
2020-01-01 188
2020-02-01 184
2020-03-01 288
2020-04-01 182
2020-05-01 244
2020-06-01 356
2020-07-01 344
2020-08-01 352
2020-09-01 390
2020-10-01 304
2020-11-01 250
2020-12-01 160
2021-01-01 192
2021-02-01 200
2021-03-01 316
2021-04-01 286
2021-05-01 344
2021-06-01 372
2021-07-01 276
2021-08-01 262
2021-09-01 256
2021-10-01 212
2021-11-01 164
2021-12-01 124
2022-01-01 140
2022-02-01 170
2022-03-01 236
2022-04-01 248
2022-05-01 288
2022-06-01 280
2022-07-01 224
2022-08-01 194
2022-09-01 210
2022-10-01 160
2022-11-01 136
2022-12-01 68
2023-01-01 116
2023-02-01 130
2023-03-01 166
2023-04-01 200
2023-05-01 260
2023-06-01 218
2023-07-01 180
2023-08-01 172
2023-09-01 192
2023-10-01 162
2023-11-01 156
2023-12-01 88
2024-01-01 98
2024-02-01 112

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