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Table Data - Housing Inventory: Median Home Size in Square Feet in Durham-Chapel Hill, NC (CBSA)

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Title Housing Inventory: Median Home Size in Square Feet in Durham-Chapel Hill, NC (CBSA)
Series ID MEDSQUFEE20500
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 5:14 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.

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
2016-07-01 2500
2016-08-01 2480
2016-09-01 2481
2016-10-01 2492
2016-11-01 2500
2016-12-01 2440
2017-01-01 2428
2017-02-01 2452
2017-03-01 2501
2017-04-01 2605
2017-05-01 2621
2017-06-01 2618
2017-07-01 2600
2017-08-01 2559
2017-09-01 2556
2017-10-01 2532
2017-11-01 2515
2017-12-01 2480
2018-01-01 2462
2018-02-01 2471
2018-03-01 2468
2018-04-01 2502
2018-05-01 2485
2018-06-01 2446
2018-07-01 2433
2018-08-01 2400
2018-09-01 2376
2018-10-01 2361
2018-11-01 2327
2018-12-01 2302
2019-01-01 2243
2019-02-01 2304
2019-03-01 2364
2019-04-01 2423
2019-05-01 2413
2019-06-01 2369
2019-07-01 2306
2019-08-01 2257
2019-09-01 2255
2019-10-01 2253
2019-11-01 2260
2019-12-01 2227
2020-01-01 2201
2020-02-01 2231
2020-03-01 2331
2020-04-01 2205
2020-05-01 2201
2020-06-01 2309
2020-07-01 2307
2020-08-01 2282
2020-09-01 2334
2020-10-01 2276
2020-11-01 2250
2020-12-01 2226
2021-01-01 2197
2021-02-01 2188
2021-03-01 2140
2021-04-01 2211
2021-05-01 2119
2021-06-01 2067
2021-07-01 2059
2021-08-01 2079
2021-09-01 2046
2021-10-01 2129
2021-11-01 1999
2021-12-01 1939
2022-01-01 1901
2022-02-01 1899
2022-03-01 1984
2022-04-01 2017
2022-05-01 2007
2022-06-01 2033
2022-07-01 2059
2022-08-01 2074
2022-09-01 2053
2022-10-01 2080
2022-11-01 2087
2022-12-01 2086
2023-01-01 2074
2023-02-01 2135
2023-03-01 2206
2023-04-01 2229
2023-05-01 2184
2023-06-01 2153
2023-07-01 2178
2023-08-01 2200
2023-09-01 2154
2023-10-01 2159
2023-11-01 2127
2023-12-01 2025
2024-01-01 2024
2024-02-01 2017
2024-03-01 2134
2024-04-01 2111
2024-05-01 2206

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