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 Home Size in Square Feet in Pinehurst-Southern Pines, NC (CBSA) Series ID: MEDSQUFEE38240 Source: Realtor.com Release: Housing Inventory Core Metrics Seasonal Adjustment: Not Seasonally Adjusted Frequency: Monthly Units: Level Date Range: 2016-07-01 to 2024-05-01 Last Updated: 2024-06-04 5:06 PM CDT Notes: The median home size in square feet for listings 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 2459 2016-08-01 2457 2016-09-01 2500 2016-10-01 2500 2016-11-01 2500 2016-12-01 2500 2017-01-01 2454 2017-02-01 2342 2017-03-01 2307 2017-04-01 2335 2017-05-01 2362 2017-06-01 2446 2017-07-01 2482 2017-08-01 2500 2017-09-01 2490 2017-10-01 2479 2017-11-01 2491 2017-12-01 2500 2018-01-01 2500 2018-02-01 2500 2018-03-01 2500 2018-04-01 2500 2018-05-01 2500 2018-06-01 2500 2018-07-01 2512 2018-08-01 2500 2018-09-01 2500 2018-10-01 2500 2018-11-01 2500 2018-12-01 2500 2019-01-01 2500 2019-02-01 2448 2019-03-01 2478 2019-04-01 2540 2019-05-01 2562 2019-06-01 2545 2019-07-01 2556 2019-08-01 2551 2019-09-01 2550 2019-10-01 2549 2019-11-01 2510 2019-12-01 2551 2020-01-01 2521 2020-02-01 2514 2020-03-01 2516 2020-04-01 2500 2020-05-01 2500 2020-06-01 2512 2020-07-01 2492 2020-08-01 2500 2020-09-01 2544 2020-10-01 2550 2020-11-01 2536 2020-12-01 2518 2021-01-01 2512 2021-02-01 2389 2021-03-01 2345 2021-04-01 2343 2021-05-01 2262 2021-06-01 2298 2021-07-01 2254 2021-08-01 2312 2021-09-01 2281 2021-10-01 2288 2021-11-01 2369 2021-12-01 2357 2022-01-01 2367 2022-02-01 2344 2022-03-01 2463 2022-04-01 2445 2022-05-01 2427 2022-06-01 2415 2022-07-01 2500 2022-08-01 2453 2022-09-01 2491 2022-10-01 2497 2022-11-01 2474 2022-12-01 2455 2023-01-01 2444 2023-02-01 2416 2023-03-01 2429 2023-04-01 2468 2023-05-01 2383 2023-06-01 2355 2023-07-01 2375 2023-08-01 2331 2023-09-01 2283 2023-10-01 2209 2023-11-01 2253 2023-12-01 2292 2024-01-01 2299 2024-02-01 2304 2024-03-01 2351 2024-04-01 2363 2024-05-01 2370