Title: Housing Inventory: Median Listing Price per Square Feet in Richmond County, NY Series ID: MEDLISPRIPERSQUFEE36085 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 2024-03-01 Last Updated: 2024-04-04 4:57 PM CDT 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 (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 2016-07-01 307 2016-08-01 309 2016-09-01 316 2016-10-01 321 2016-11-01 324 2016-12-01 326 2017-01-01 326 2017-02-01 333 2017-03-01 341 2017-04-01 346 2017-05-01 350 2017-06-01 354 2017-07-01 356 2017-08-01 356 2017-09-01 355 2017-10-01 356 2017-11-01 359 2017-12-01 363 2018-01-01 361 2018-02-01 358 2018-03-01 358 2018-04-01 361 2018-05-01 362 2018-06-01 362 2018-07-01 375 2018-08-01 373 2018-09-01 373 2018-10-01 374 2018-11-01 379 2018-12-01 381 2019-01-01 382 2019-02-01 383 2019-03-01 379 2019-04-01 372 2019-05-01 372 2019-06-01 372 2019-07-01 371 2019-08-01 372 2019-09-01 373 2019-10-01 374 2019-11-01 377 2019-12-01 373 2020-01-01 374 2020-02-01 375 2020-03-01 379 2020-04-01 377 2020-05-01 375 2020-06-01 380 2020-07-01 384 2020-08-01 386 2020-09-01 389 2020-10-01 388 2020-11-01 390 2020-12-01 386 2021-01-01 386 2021-02-01 389 2021-03-01 393 2021-04-01 392 2021-05-01 400 2021-06-01 400 2021-07-01 403 2021-08-01 407 2021-09-01 408 2021-10-01 407 2021-11-01 409 2021-12-01 417 2022-01-01 426 2022-02-01 435 2022-03-01 439 2022-04-01 435 2022-05-01 437 2022-06-01 438 2022-07-01 443 2022-08-01 441 2022-09-01 434 2022-10-01 429 2022-11-01 427 2022-12-01 425 2023-01-01 430 2023-02-01 430 2023-03-01 428 2023-04-01 432 2023-05-01 436 2023-06-01 438 2023-07-01 439 2023-08-01 440 2023-09-01 448 2023-10-01 450 2023-11-01 449 2023-12-01 448 2024-01-01 449 2024-02-01 456 2024-03-01 456