Federal Reserve Economic Data

Table Data - Housing Inventory: Price Increased Count in Raleigh, NC (CBSA)

Title Housing Inventory: Price Increased Count in Raleigh, NC (CBSA)
Series ID PRIINCCOU39580
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2024-10-01
Last Updated 2024-10-31 5:09 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
2016-07-01 188
2016-08-01 158
2016-09-01 156
2016-10-01 204
2016-11-01 146
2016-12-01 116
2017-01-01 234
2017-02-01 190
2017-03-01 296
2017-04-01 264
2017-05-01 190
2017-06-01 222
2017-07-01 280
2017-08-01 170
2017-09-01 176
2017-10-01 200
2017-11-01 202
2017-12-01 152
2018-01-01 324
2018-02-01 282
2018-03-01 316
2018-04-01 396
2018-05-01 406
2018-06-01 260
2018-07-01 402
2018-08-01 308
2018-09-01 228
2018-10-01 210
2018-11-01 158
2018-12-01 180
2019-01-01 228
2019-02-01 200
2019-03-01 172
2019-04-01 196
2019-05-01 216
2019-06-01 224
2019-07-01 176
2019-08-01 176
2019-09-01 132
2019-10-01 104
2019-11-01 132
2019-12-01 118
2020-01-01 192
2020-02-01 240
2020-03-01 192
2020-04-01 218
2020-05-01 256
2020-06-01 244
2020-07-01 312
2020-08-01 608
2020-09-01 500
2020-10-01 392
2020-11-01 330
2020-12-01 320
2021-01-01 560
2021-02-01 496
2021-03-01 406
2021-04-01 304
2021-05-01 252
2021-06-01 138
2021-07-01 128
2021-08-01 172
2021-09-01 136
2021-10-01 168
2021-11-01 120
2021-12-01 102
2022-01-01 132
2022-02-01 80
2022-03-01 66
2022-04-01 96
2022-05-01 86
2022-06-01 62
2022-07-01 128
2022-08-01 70
2022-09-01 116
2022-10-01 132
2022-11-01 70
2022-12-01 156
2023-01-01 164
2023-02-01 168
2023-03-01 186
2023-04-01 208
2023-05-01 206
2023-06-01 198
2023-07-01 156
2023-08-01 172
2023-09-01 136
2023-10-01 128
2023-11-01 138
2023-12-01 96
2024-01-01 134
2024-02-01 212
2024-03-01 164
2024-04-01 136
2024-05-01 202
2024-06-01 136
2024-07-01 90
2024-08-01 96
2024-09-01 84
2024-10-01 184

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