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

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Title	Housing Inventory: New Listing Count in Lincoln County, NC
Series ID	NEWLISCOU37109
Source	Realtor.com
Release	Housing Inventory Core Metrics
Seasonal Adjustment	Not Seasonally Adjusted
Frequency	Monthly
Units	Level
Date Range	2016-07-01 to 2024-06-01
Last Updated	2024-07-09 4:49 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	128
2016-08-01	122
2016-09-01	112
2016-10-01	128
2016-11-01	80
2016-12-01	96
2017-01-01	106
2017-02-01	162
2017-03-01	118
2017-04-01	172
2017-05-01	136
2017-06-01	168
2017-07-01	120
2017-08-01	136
2017-09-01	92
2017-10-01	104
2017-11-01	98
2017-12-01	52
2018-01-01	112
2018-02-01	110
2018-03-01	132
2018-04-01	152
2018-05-01	184
2018-06-01	156
2018-07-01	148
2018-08-01	148
2018-09-01	116
2018-10-01	108
2018-11-01	86
2018-12-01	68
2019-01-01	94
2019-02-01	118
2019-03-01	136
2019-04-01	152
2019-05-01	144
2019-06-01	136
2019-07-01	180
2019-08-01	308
2019-09-01	226
2019-10-01	152
2019-11-01	80
2019-12-01	70
2020-01-01	88
2020-02-01	116
2020-03-01	154
2020-04-01	112
2020-05-01	152
2020-06-01	140
2020-07-01	110
2020-08-01	148
2020-09-01	180
2020-10-01	180
2020-11-01	100
2020-12-01	94
2021-01-01	104
2021-02-01	122
2021-03-01	126
2021-04-01	190
2021-05-01	156
2021-06-01	154
2021-07-01	160
2021-08-01	174
2021-09-01	154
2021-10-01	140
2021-11-01	138
2021-12-01	100
2022-01-01	96
2022-02-01	108
2022-03-01	124
2022-04-01	120
2022-05-01	158
2022-06-01	142
2022-07-01	136
2022-08-01	108
2022-09-01	150
2022-10-01	116
2022-11-01	78
2022-12-01	52
2023-01-01	82
2023-02-01	88
2023-03-01	100
2023-04-01	120
2023-05-01	130
2023-06-01	104
2023-07-01	120
2023-08-01	90
2023-09-01	112
2023-10-01	122
2023-11-01	92
2023-12-01	52
2024-01-01	88
2024-02-01	100
2024-03-01	128
2024-04-01	146
2024-05-01	136
2024-06-01	124

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