NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: Housing Inventory: Median Days on Market in Berlin, NH-VT (CBSA) Series ID: MEDDAYONMAR13620 Source: Realtor.com Release: Housing Inventory Core Metrics Seasonal Adjustment: Not Seasonally Adjusted Frequency: Monthly Units: Level Date Range: 2016-07-01 to 2024-04-01 Last Updated: 2024-05-02 5:28 PM CDT Notes: The median number of days property listings spend on the market in a given geography during the specified month (calculated from list date to closing, pending, or off-market date depending on data availability). 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 (https://www.realtor.com/research/data/). 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 (https://www.realtor.com/research/data/). DATE VALUE 2016-07-01 93 2016-08-01 96 2016-09-01 107 2016-10-01 124 2016-11-01 140 2016-12-01 148 2017-01-01 154 2017-02-01 166 2017-03-01 177 2017-04-01 166 2017-05-01 89 2017-06-01 78 2017-07-01 71 2017-08-01 86 2017-09-01 97 2017-10-01 107 2017-11-01 127 2017-12-01 141 2018-01-01 153 2018-02-01 165 2018-03-01 170 2018-04-01 151 2018-05-01 97 2018-06-01 65 2018-07-01 65 2018-08-01 74 2018-09-01 88 2018-10-01 100 2018-11-01 111 2018-12-01 128 2019-01-01 143 2019-02-01 155 2019-03-01 158 2019-04-01 154 2019-05-01 93 2019-06-01 57 2019-07-01 65 2019-08-01 77 2019-09-01 91 2019-10-01 103 2019-11-01 117 2019-12-01 135 2020-01-01 145 2020-02-01 159 2020-03-01 156 2020-04-01 155 2020-05-01 114 2020-06-01 82 2020-07-01 75 2020-08-01 71 2020-09-01 59 2020-10-01 55 2020-11-01 79 2020-12-01 93 2021-01-01 116 2021-02-01 133 2021-03-01 101 2021-04-01 43 2021-05-01 38 2021-06-01 31 2021-07-01 45 2021-08-01 58 2021-09-01 57 2021-10-01 67 2021-11-01 71 2021-12-01 78 2022-01-01 77 2022-02-01 74 2022-03-01 67 2022-04-01 40 2022-05-01 32 2022-06-01 30 2022-07-01 43 2022-08-01 54 2022-09-01 63 2022-10-01 70 2022-11-01 77 2022-12-01 88 2023-01-01 98 2023-02-01 121 2023-03-01 102 2023-04-01 56 2023-05-01 48 2023-06-01 41 2023-07-01 48 2023-08-01 45 2023-09-01 47 2023-10-01 49 2023-11-01 57 2023-12-01 78 2024-01-01 92 2024-02-01 98 2024-03-01 91 2024-04-01 71