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Table Data - Housing Inventory: New Listing Count in Pima County, AZ

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Title Housing Inventory: New Listing Count in Pima County, AZ
Series ID NEWLISCOU4019
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2024-02-01
Last Updated 2024-03-21 2:07 PM CDT
Notes The count of new listings added to the market in a given geography during the 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 1440
2016-08-01 1472
2016-09-01 1568
2016-10-01 1648
2016-11-01 1558
2016-12-01 1224
2017-01-01 1690
2017-02-01 1784
2017-03-01 1806
2017-04-01 1788
2017-05-01 1700
2017-06-01 1600
2017-07-01 1528
2017-08-01 1574
2017-09-01 1612
2017-10-01 1634
2017-11-01 1602
2017-12-01 1192
2018-01-01 1674
2018-02-01 1706
2018-03-01 1828
2018-04-01 1870
2018-05-01 1834
2018-06-01 1596
2018-07-01 1520
2018-08-01 1592
2018-09-01 1608
2018-10-01 1582
2018-11-01 1610
2018-12-01 1296
2019-01-01 1724
2019-02-01 1750
2019-03-01 1748
2019-04-01 1898
2019-05-01 1668
2019-06-01 1684
2019-07-01 1540
2019-08-01 1532
2019-09-01 1630
2019-10-01 1672
2019-11-01 1416
2019-12-01 1064
2020-01-01 1646
2020-02-01 1744
2020-03-01 1866
2020-04-01 1268
2020-05-01 1420
2020-06-01 1456
2020-07-01 1448
2020-08-01 1624
2020-09-01 1754
2020-10-01 1768
2020-11-01 1462
2020-12-01 1206
2021-01-01 1452
2021-02-01 1616
2021-03-01 1788
2021-04-01 1686
2021-05-01 1732
2021-06-01 1730
2021-07-01 1612
2021-08-01 1678
2021-09-01 1696
2021-10-01 1780
2021-11-01 1502
2021-12-01 1268
2022-01-01 1412
2022-02-01 1602
2022-03-01 1666
2022-04-01 1720
2022-05-01 1720
2022-06-01 1728
2022-07-01 1604
2022-08-01 1574
2022-09-01 1436
2022-10-01 1348
2022-11-01 1140
2022-12-01 856
2023-01-01 1278
2023-02-01 1248
2023-03-01 1250
2023-04-01 1240
2023-05-01 1322
2023-06-01 1118
2023-07-01 1176
2023-08-01 1138
2023-09-01 1184
2023-10-01 1286
2023-11-01 1082
2023-12-01 996
2024-01-01 1312
2024-02-01 1456

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