Federal Reserve Economic Data

Table Data - Housing Inventory: Median Listing Price per Square Feet in Greensboro-High Point, NC (CBSA)

Title Housing Inventory: Median Listing Price per Square Feet in Greensboro-High Point, NC (CBSA)
Series ID MEDLISPRIPERSQUFEE24660
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units U.S. Dollars
Date Range 2016-07-01 to 2024-11-01
Last Updated 2024-12-05 5:16 PM CST
Notes The median listing price per square foot in a given market during the specified 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 91
2016-08-01 89
2016-09-01 90
2016-10-01 91
2016-11-01 90
2016-12-01 90
2017-01-01 90
2017-02-01 91
2017-03-01 95
2017-04-01 96
2017-05-01 96
2017-06-01 97
2017-07-01 96
2017-08-01 97
2017-09-01 97
2017-10-01 99
2017-11-01 100
2017-12-01 99
2018-01-01 99
2018-02-01 102
2018-03-01 103
2018-04-01 105
2018-05-01 105
2018-06-01 106
2018-07-01 107
2018-08-01 108
2018-09-01 109
2018-10-01 109
2018-11-01 108
2018-12-01 109
2019-01-01 109
2019-02-01 111
2019-03-01 113
2019-04-01 114
2019-05-01 113
2019-06-01 114
2019-07-01 112
2019-08-01 113
2019-09-01 115
2019-10-01 117
2019-11-01 116
2019-12-01 115
2020-01-01 116
2020-02-01 116
2020-03-01 116
2020-04-01 117
2020-05-01 117
2020-06-01 117
2020-07-01 119
2020-08-01 121
2020-09-01 121
2020-10-01 125
2020-11-01 121
2020-12-01 124
2021-01-01 124
2021-02-01 126
2021-03-01 131
2021-04-01 127
2021-05-01 131
2021-06-01 135
2021-07-01 133
2021-08-01 140
2021-09-01 141
2021-10-01 144
2021-11-01 146
2021-12-01 145
2022-01-01 143
2022-02-01 146
2022-03-01 144
2022-04-01 149
2022-05-01 160
2022-06-01 153
2022-07-01 165
2022-08-01 162
2022-09-01 162
2022-10-01 164
2022-11-01 165
2022-12-01 165
2023-01-01 166
2023-02-01 168
2023-03-01 172
2023-04-01 176
2023-05-01 175
2023-06-01 176
2023-07-01 175
2023-08-01 176
2023-09-01 172
2023-10-01 172
2023-11-01 170
2023-12-01 170
2024-01-01 167
2024-02-01 169
2024-03-01 168
2024-04-01 173
2024-05-01 173
2024-06-01 170
2024-07-01 161
2024-08-01 156
2024-09-01 177
2024-10-01 176
2024-11-01 177

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