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

Title Housing Inventory: New Listing Count in Orange County, NC
Series ID NEWLISCOU37135
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2026-05-01
Last Updated 2026-06-04 3:24 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
2016-07-01 156
2016-08-01 156
2016-09-01 132
2016-10-01 104
2016-11-01 98
2016-12-01 64
2017-01-01 102
2017-02-01 166
2017-03-01 270
2017-04-01 236
2017-05-01 224
2017-06-01 202
2017-07-01 216
2017-08-01 150
2017-09-01 144
2017-10-01 122
2017-11-01 96
2017-12-01 92
2018-01-01 110
2018-02-01 200
2018-03-01 292
2018-04-01 230
2018-05-01 228
2018-06-01 196
2018-07-01 192
2018-08-01 120
2018-09-01 148
2018-10-01 154
2018-11-01 100
2018-12-01 80
2019-01-01 122
2019-02-01 162
2019-03-01 180
2019-04-01 254
2019-05-01 268
2019-06-01 184
2019-07-01 156
2019-08-01 144
2019-09-01 148
2019-10-01 152
2019-11-01 88
2019-12-01 70
2020-01-01 110
2020-02-01 152
2020-03-01 226
2020-04-01 146
2020-05-01 196
2020-06-01 170
2020-07-01 164
2020-08-01 164
2020-09-01 144
2020-10-01 192
2020-11-01 118
2020-12-01 86
2021-01-01 128
2021-02-01 128
2021-03-01 176
2021-04-01 198
2021-05-01 192
2021-06-01 198
2021-07-01 164
2021-08-01 138
2021-09-01 170
2021-10-01 148
2021-11-01 104
2021-12-01 84
2022-01-01 84
2022-02-01 96
2022-03-01 146
2022-04-01 168
2022-05-01 160
2022-06-01 184
2022-07-01 172
2022-08-01 158
2022-09-01 168
2022-10-01 108
2022-11-01 86
2022-12-01 56
2023-01-01 78
2023-02-01 82
2023-03-01 138
2023-04-01 176
2023-05-01 170
2023-06-01 160
2023-07-01 144
2023-08-01 126
2023-09-01 132
2023-10-01 118
2023-11-01 84
2023-12-01 72
2024-01-01 92
2024-02-01 144
2024-03-01 164
2024-04-01 194
2024-05-01 180
2024-06-01 168
2024-07-01 104
2024-08-01 128
2024-09-01 120
2024-10-01 114
2024-11-01 112
2024-12-01 48
2025-01-01 68
2025-02-01 116
2025-03-01 240
2025-04-01 244
2025-05-01 188
2025-06-01 196
2025-07-01 130
2025-08-01 140
2025-09-01 142
2025-10-01 170
2025-11-01 96
2025-12-01 58
2026-01-01 80
2026-02-01 168
2026-03-01 272
2026-04-01 250
2026-05-01 196

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