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Table Data - Housing Inventory: Price Increased Count in Greenville-Anderson-Mauldin, SC (CBSA)

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Title Housing Inventory: Price Increased Count in Greenville-Anderson-Mauldin, SC (CBSA)
Series ID PRIINCCOU24860
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 4:45 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
2016-07-01 328
2016-08-01 382
2016-09-01 260
2016-10-01 284
2016-11-01 308
2016-12-01 208
2017-01-01 174
2017-02-01 236
2017-03-01 350
2017-04-01 368
2017-05-01 418
2017-06-01 366
2017-07-01 332
2017-08-01 276
2017-09-01 268
2017-10-01 274
2017-11-01 212
2017-12-01 180
2018-01-01 238
2018-02-01 284
2018-03-01 356
2018-04-01 382
2018-05-01 330
2018-06-01 320
2018-07-01 296
2018-08-01 292
2018-09-01 276
2018-10-01 182
2018-11-01 214
2018-12-01 208
2019-01-01 224
2019-02-01 224
2019-03-01 212
2019-04-01 166
2019-05-01 138
2019-06-01 112
2019-07-01 130
2019-08-01 132
2019-09-01 114
2019-10-01 84
2019-11-01 68
2019-12-01 34
2020-01-01 78
2020-02-01 88
2020-03-01 90
2020-04-01 138
2020-05-01 204
2020-06-01 156
2020-07-01 198
2020-08-01 336
2020-09-01 246
2020-10-01 192
2020-11-01 216
2020-12-01 144
2021-01-01 376
2021-02-01 478
2021-03-01 616
2021-04-01 382
2021-05-01 240
2021-06-01 134
2021-07-01 168
2021-08-01 146
2021-09-01 164
2021-10-01 208
2021-11-01 178
2021-12-01 186
2022-01-01 180
2022-02-01 268
2022-03-01 222
2022-04-01 176
2022-05-01 152
2022-06-01 98
2022-07-01 80
2022-08-01 100
2022-09-01 96
2022-10-01 72
2022-11-01 68
2022-12-01 80
2023-01-01 112
2023-02-01 158
2023-03-01 166
2023-04-01 260
2023-05-01 172
2023-06-01 104
2023-07-01 172
2023-08-01 262
2023-09-01 112
2023-10-01 70
2023-11-01 56
2023-12-01 44
2024-01-01 94
2024-02-01 64
2024-03-01 96
2024-04-01 154
2024-05-01 114

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