Federal Reserve Economic Data

Table Data - Housing Inventory: Price Increased Count in Boulder, CO (CBSA)

Title Housing Inventory: Price Increased Count in Boulder, CO (CBSA)
Series ID PRIINCCOU14500
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2024-11-01
Last Updated 2024-12-05 5:31 PM CST
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
2016-07-01 176
2016-08-01 122
2016-09-01 110
2016-10-01 84
2016-11-01 74
2016-12-01 48
2017-01-01 70
2017-02-01 50
2017-03-01 144
2017-04-01 188
2017-05-01 190
2017-06-01 216
2017-07-01 220
2017-08-01 134
2017-09-01 128
2017-10-01 98
2017-11-01 96
2017-12-01 96
2018-01-01 76
2018-02-01 42
2018-03-01 44
2018-04-01 86
2018-05-01 108
2018-06-01 100
2018-07-01 112
2018-08-01 130
2018-09-01 104
2018-10-01 74
2018-11-01 70
2018-12-01 48
2019-01-01 40
2019-02-01 92
2019-03-01 84
2019-04-01 34
2019-05-01 32
2019-06-01 16
2019-07-01 24
2019-08-01 40
2019-09-01 18
2019-10-01 8
2019-11-01 8
2019-12-01 44
2020-01-01 14
2020-02-01 20
2020-03-01 22
2020-04-01 20
2020-05-01 20
2020-06-01 28
2020-07-01 28
2020-08-01 24
2020-09-01 36
2020-10-01 20
2020-11-01 6
2020-12-01 10
2021-01-01 20
2021-02-01 16
2021-03-01 18
2021-04-01 10
2021-05-01 4
2021-06-01 8
2021-07-01 20
2021-08-01 10
2021-09-01 12
2021-10-01 8
2021-11-01 12
2021-12-01 12
2022-01-01 24
2022-02-01 18
2022-03-01 12
2022-04-01 12
2022-05-01 12
2022-06-01 14
2022-07-01 20
2022-08-01 14
2022-09-01 24
2022-10-01 16
2022-11-01 20
2022-12-01 8
2023-01-01 6
2023-02-01 10
2023-03-01 30
2023-04-01 12
2023-05-01 28
2023-06-01 38
2023-07-01 20
2023-08-01 22
2023-09-01 32
2023-10-01 12
2023-11-01 20
2023-12-01 12
2024-01-01 14
2024-02-01 16
2024-03-01 8
2024-04-01 18
2024-05-01 10
2024-06-01 8
2024-07-01 12
2024-08-01 20
2024-09-01 10
2024-10-01 6
2024-11-01 8

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