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 Pocatello, ID (CBSA) Series ID: MEDSQUFEE38540 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 4:47 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 2103 2016-08-01 2072 2016-09-01 2095 2016-10-01 2192 2016-11-01 2182 2016-12-01 2234 2017-01-01 2143 2017-02-01 2196 2017-03-01 2194 2017-04-01 2203 2017-05-01 2247 2017-06-01 2245 2017-07-01 2153 2017-08-01 2148 2017-09-01 2219 2017-10-01 2229 2017-11-01 2240 2017-12-01 2214 2018-01-01 2177 2018-02-01 2207 2018-03-01 2214 2018-04-01 2254 2018-05-01 2298 2018-06-01 2236 2018-07-01 2127 2018-08-01 2261 2018-09-01 2276 2018-10-01 2361 2018-11-01 2426 2018-12-01 2451 2019-01-01 2266 2019-02-01 2395 2019-03-01 2546 2019-04-01 2537 2019-05-01 2570 2019-06-01 2430 2019-07-01 2360 2019-08-01 2340 2019-09-01 2311 2019-10-01 2299 2019-11-01 2296 2019-12-01 2361 2020-01-01 2307 2020-02-01 2258 2020-03-01 2441 2020-04-01 2479 2020-05-01 2500 2020-06-01 2536 2020-07-01 2478 2020-08-01 2352 2020-09-01 2245 2020-10-01 2076 2020-11-01 2198 2020-12-01 2143 2021-01-01 2209 2021-02-01 2485 2021-03-01 2538 2021-04-01 2341 2021-05-01 2252 2021-06-01 2290 2021-07-01 2364 2021-08-01 2529 2021-09-01 2546 2021-10-01 2352 2021-11-01 2256 2021-12-01 2255 2022-01-01 2200 2022-02-01 2727 2022-03-01 2728 2022-04-01 2792 2022-05-01 2320 2022-06-01 2260 2022-07-01 2287 2022-08-01 2254 2022-09-01 2188 2022-10-01 2280 2022-11-01 2296 2022-12-01 2282 2023-01-01 2292 2023-02-01 2506 2023-03-01 2512 2023-04-01 2662 2023-05-01 2625 2023-06-01 2641 2023-07-01 2518 2023-08-01 2522 2023-09-01 2493 2023-10-01 2324 2023-11-01 2207 2023-12-01 2165 2024-01-01 2175 2024-02-01 2305 2024-03-01 2298 2024-04-01 2435