Table Data - Market Hotness: Supply Score in Monroe County, NY
NOTE: To improve accessibility of data for all users, this file was converted from a text format to an html table.
| Title | Market Hotness: Supply Score in Monroe County, NY |
|---|---|
| Series ID | SUSCCOUNTY36055 |
| Source | Realtor.com |
| Release | Market Hotness Index |
| Seasonal Adjustment | Not Seasonally Adjusted |
| Frequency | Monthly |
| Units | Score |
| Date Range | 2017-08-01 to 2024-05-01 |
| Last Updated | 2024-06-04 4:23 PM CDT |
| Notes | The supply score is an index representing a zip code, county or metro's median days on market ranking compared to other zip codes, counties or metros. 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 |
|---|---|
| 2017-08-01 | 96.69576060 |
| 2017-09-01 | 97.94264339 |
| 2017-10-01 | 98.00498753 |
| 2017-11-01 | 97.25685786 |
| 2017-12-01 | 96.38403990 |
| 2018-01-01 | 97.56857855 |
| 2018-02-01 | 96.44638404 |
| 2018-03-01 | 97.00748130 |
| 2018-04-01 | 97.13216958 |
| 2018-05-01 | 97.56857855 |
| 2018-06-01 | 98.37905237 |
| 2018-07-01 | 98.37905237 |
| 2018-08-01 | 97.13216958 |
| 2018-09-01 | 97.25685786 |
| 2018-10-01 | 98.12967581 |
| 2018-11-01 | 97.88029925 |
| 2018-12-01 | 96.50872818 |
| 2019-01-01 | 98.81546135 |
| 2019-02-01 | 98.75311721 |
| 2019-03-01 | 99.18952619 |
| 2019-04-01 | 99.31421446 |
| 2019-05-01 | 99.56359102 |
| 2019-06-01 | 99.87531172 |
| 2019-07-01 | 99.93765586 |
| 2019-08-01 | 99.62593516 |
| 2019-09-01 | 99.37655860 |
| 2019-10-01 | 98.87780549 |
| 2019-11-01 | 99.43890274 |
| 2019-12-01 | 99.18952619 |
| 2020-01-01 | 99.62593516 |
| 2020-02-01 | 99.25187032 |
| 2020-03-01 | 98.69077307 |
| 2020-04-01 | 94.45137157 |
| 2020-05-01 | 98.94014963 |
| 2020-06-01 | 100.00000000 |
| 2020-07-01 | 99.87531172 |
| 2020-08-01 | 99.87531172 |
| 2020-09-01 | 99.87531172 |
| 2020-10-01 | 99.75062344 |
| 2020-11-01 | 99.68827930 |
| 2020-12-01 | 98.94014963 |
| 2021-01-01 | 98.50374065 |
| 2021-02-01 | 99.18952619 |
| 2021-03-01 | 99.00249377 |
| 2021-04-01 | 99.31421446 |
| 2021-05-01 | 98.94014963 |
| 2021-06-01 | 99.06483791 |
| 2021-07-01 | 99.62593516 |
| 2021-08-01 | 99.93765586 |
| 2021-09-01 | 99.81296758 |
| 2021-10-01 | 99.87531172 |
| 2021-11-01 | 99.93765586 |
| 2021-12-01 | 99.56359102 |
| 2022-01-01 | 99.56359102 |
| 2022-02-01 | 99.18952619 |
| 2022-03-01 | 99.43890274 |
| 2022-04-01 | 99.12718205 |
| 2022-05-01 | 99.50124688 |
| 2022-06-01 | 100.00000000 |
| 2022-07-01 | 100.00000000 |
| 2022-08-01 | 99.87531172 |
| 2022-09-01 | 100.00000000 |
| 2022-10-01 | 100.00000000 |
| 2022-11-01 | 100.00000000 |
| 2022-12-01 | 99.87531172 |
| 2023-01-01 | 99.93765586 |
| 2023-02-01 | 99.93765586 |
| 2023-03-01 | 100.00000000 |
| 2023-04-01 | 100.00000000 |
| 2023-05-01 | 100.00000000 |
| 2023-06-01 | 100.00000000 |
| 2023-07-01 | 100.00000000 |
| 2023-08-01 | 100.00000000 |
| 2023-09-01 | 100.00000000 |
| 2023-10-01 | 100.00000000 |
| 2023-11-01 | 100.00000000 |
| 2023-12-01 | 100.00000000 |
| 2024-01-01 | 100.00000000 |
| 2024-02-01 | 99.93765586 |
| 2024-03-01 | 100.00000000 |
| 2024-04-01 | 100.00000000 |
| 2024-05-01 | 100.00000000 |
