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Table Data - Housing Inventory: New Listing Count in Gaston County, NC

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Title Housing Inventory: New Listing Count in Gaston County, NC
Series ID NEWLISCOU37071
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 4:49 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
2016-07-01 316
2016-08-01 306
2016-09-01 306
2016-10-01 240
2016-11-01 244
2016-12-01 176
2017-01-01 220
2017-02-01 290
2017-03-01 282
2017-04-01 320
2017-05-01 332
2017-06-01 292
2017-07-01 312
2017-08-01 320
2017-09-01 300
2017-10-01 272
2017-11-01 284
2017-12-01 192
2018-01-01 244
2018-02-01 326
2018-03-01 296
2018-04-01 324
2018-05-01 380
2018-06-01 324
2018-07-01 392
2018-08-01 348
2018-09-01 332
2018-10-01 280
2018-11-01 228
2018-12-01 208
2019-01-01 294
2019-02-01 294
2019-03-01 304
2019-04-01 322
2019-05-01 392
2019-06-01 372
2019-07-01 390
2019-08-01 620
2019-09-01 502
2019-10-01 422
2019-11-01 304
2019-12-01 212
2020-01-01 246
2020-02-01 288
2020-03-01 384
2020-04-01 298
2020-05-01 320
2020-06-01 312
2020-07-01 334
2020-08-01 356
2020-09-01 338
2020-10-01 424
2020-11-01 324
2020-12-01 278
2021-01-01 256
2021-02-01 276
2021-03-01 322
2021-04-01 322
2021-05-01 328
2021-06-01 374
2021-07-01 404
2021-08-01 364
2021-09-01 362
2021-10-01 320
2021-11-01 340
2021-12-01 264
2022-01-01 312
2022-02-01 282
2022-03-01 306
2022-04-01 372
2022-05-01 446
2022-06-01 422
2022-07-01 392
2022-08-01 346
2022-09-01 334
2022-10-01 300
2022-11-01 278
2022-12-01 204
2023-01-01 234
2023-02-01 280
2023-03-01 304
2023-04-01 320
2023-05-01 300
2023-06-01 268
2023-07-01 300
2023-08-01 298
2023-09-01 312
2023-10-01 324
2023-11-01 288
2023-12-01 260
2024-01-01 242
2024-02-01 318
2024-03-01 376
2024-04-01 382
2024-05-01 322

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