Federal Reserve Economic Data

Table Data - Housing Inventory: New Listing Count in Bloomington, IN (CBSA)

Title Housing Inventory: New Listing Count in Bloomington, IN (CBSA)
Series ID NEWLISCOU14020
Source Realtor.com
Release Housing Inventory Core Metrics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Monthly
Units Level
Date Range 2016-07-01 to 2025-02-01
Last Updated 2025-02-27 5:18 PM CST
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
2016-07-01 212
2016-08-01 180
2016-09-01 190
2016-10-01 180
2016-11-01 138
2016-12-01 112
2017-01-01 168
2017-02-01 204
2017-03-01 230
2017-04-01 288
2017-05-01 260
2017-06-01 276
2017-07-01 216
2017-08-01 234
2017-09-01 160
2017-10-01 162
2017-11-01 134
2017-12-01 100
2018-01-01 160
2018-02-01 170
2018-03-01 244
2018-04-01 262
2018-05-01 260
2018-06-01 236
2018-07-01 202
2018-08-01 182
2018-09-01 184
2018-10-01 182
2018-11-01 116
2018-12-01 88
2019-01-01 156
2019-02-01 178
2019-03-01 212
2019-04-01 248
2019-05-01 266
2019-06-01 228
2019-07-01 194
2019-08-01 196
2019-09-01 178
2019-10-01 162
2019-11-01 80
2019-12-01 66
2020-01-01 166
2020-02-01 192
2020-03-01 204
2020-04-01 140
2020-05-01 208
2020-06-01 216
2020-07-01 202
2020-08-01 196
2020-09-01 200
2020-10-01 164
2020-11-01 134
2020-12-01 90
2021-01-01 112
2021-02-01 144
2021-03-01 206
2021-04-01 220
2021-05-01 236
2021-06-01 258
2021-07-01 204
2021-08-01 236
2021-09-01 186
2021-10-01 188
2021-11-01 138
2021-12-01 96
2022-01-01 124
2022-02-01 132
2022-03-01 288
2022-04-01 244
2022-05-01 246
2022-06-01 260
2022-07-01 236
2022-08-01 188
2022-09-01 210
2022-10-01 168
2022-11-01 94
2022-12-01 52
2023-01-01 126
2023-02-01 142
2023-03-01 170
2023-04-01 224
2023-05-01 210
2023-06-01 162
2023-07-01 168
2023-08-01 166
2023-09-01 172
2023-10-01 130
2023-11-01 106
2023-12-01 84
2024-01-01 84
2024-02-01 146
2024-03-01 160
2024-04-01 208
2024-05-01 210
2024-06-01 196
2024-07-01 162
2024-08-01 156
2024-09-01 184
2024-10-01 162
2024-11-01 128
2024-12-01 82
2025-01-01 100
2025-02-01 158

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