Davenport-Moline-Rock Island, Iowa Unemployment
The BLS reported that the unemployment rate for Davenport fell 0.0 percentage points in January 2023 to 3.8%. For the same month, the metro unemployment rate was 0.8 percentage points higher than the Iowa rate. The unemployment rate in Davenport peaked in April 2020 at 15.5% and is now 11.7 percentage points lower. From a post peak low of 3.8% in October 2022, the unemployment rate has now grown by 0.0 percentage points. You can also compare Davenport unemployment with unemployment in other cities.
Unemployment Rate | January 2023 | Month/Month | Year/Year |
---|---|---|---|
National | 3.4% | -0.1 | -0.6 |
Iowa | 3.0% | 0.0 | +0.3 |
Davenport | 3.8% | 0.0 | -0.6 |
Unemployment Rate: Davenport, Iowa, National
Note: Recessions shown in gray.
Davenport, Iowa Unemployed
The number of people unemployed in Davenport peaked in April 2020 at 28,507. There are now 21,310 fewer people unemployed in the metropolitan area. Davenport employment and jobs data (including jobs lost/gained in Davenport, Iowa) is also available.
Unemployed Persons | January 2023 | Month/Month | Year/Year |
---|---|---|---|
Davenport | 7,197 | -181 | -1,073 |
Number of Unemployed Persons
Davenport, Iowa Unemployment History
Date | National Unemployment Rate |
Iowa Unemployment Rate |
Davenport Unemployment Rate |
Davenport Unemployed |
---|---|---|---|---|
February 2023 |
3.6% | — | — | — |
January 2023 |
3.4% | 3.0% | 3.8% | 7,197 |
December 2022 |
3.5% | 3.0% | 3.8% | 7,378 |
November 2022 |
3.6% | 3.1% | 3.9% | 7,467 |
October 2022 |
3.7% | 3.1% | 3.8% | 7,415 |
September 2022 |
3.5% | 3.1% | 3.9% | 7,463 |
August 2022 |
3.7% | 2.9% | 4.0% | 7,583 |
July 2022 |
3.5% | 2.8% | 4.0% | 7,578 |
June 2022 |
3.6% | 2.6% | 4.0% | 7,619 |
May 2022 |
3.6% | 2.4% | 4.1% | 7,744 |
April 2022 |
3.6% | 2.3% | 4.1% | 7,736 |
March 2022 |
3.6% | 2.4% | 4.2% | 7,818 |
1. Metro area unemployment rates are now seasonally adjusted. The BLS has started publishing smoothed seasonally adjusted metropolitan area data which makes comparisons to state and national data more relevant than the unadjusted numbers. ↩