Waterbury, Connecticut Unemployment
The BLS reported that the unemployment rate for Waterbury fell 0.0 percentage points in September 2022 to 5.1%. For the same month, the metro unemployment rate was 1.1 percentage points higher than the Connecticut rate. The unemployment rate in Waterbury peaked in July 2020 at 13.0% and is now 7.9 percentage points lower. From a post peak low of 5.1% in June 2022, the unemployment rate has now grown by 0.0 percentage points. You can also compare Waterbury unemployment with unemployment in other cities.
| Unemployment Rate | September 2022 | Month/Month | Year/Year |
|---|---|---|---|
| National | 3.5% | -0.2 | -1.2 |
| Connecticut | 4.0% | -0.1 | -1.6 |
| Waterbury | 5.1% | 0.0 | -1.8 |
Unemployment Rate: Waterbury, Connecticut, National
Note: Recessions shown in gray.
Waterbury, Connecticut Unemployed
The number of people unemployed in Waterbury peaked in July 2020 at 14,704. There are now 9,045 fewer people unemployed in the metropolitan area. From a recent trough of 5,597 in July 2022, the number of unemployed has now grown by 62.
| Unemployed Persons | September 2022 | Month/Month | Year/Year |
|---|---|---|---|
| Waterbury | 5,659 | +39 | -1,883 |
Number of Unemployed Persons
Waterbury, Connecticut Unemployment History
| Date | National Unemployment Rate |
Connecticut Unemployment Rate |
Waterbury Unemployment Rate |
Waterbury Unemployed |
|---|---|---|---|---|
| October 2022 |
3.7% | — | — | — |
| September 2022 |
3.5% | 4.0% | 5.1% | 5,659 |
| August 2022 |
3.7% | 4.1% | 5.1% | 5,620 |
| July 2022 |
3.5% | 3.7% | 5.1% | 5,597 |
| June 2022 |
3.6% | 4.0% | 5.1% | 5,641 |
| May 2022 |
3.6% | 4.2% | 5.2% | 5,773 |
| April 2022 |
3.6% | 4.4% | 5.4% | 5,952 |
| March 2022 |
3.6% | 4.6% | 5.6% | 6,198 |
| February 2022 |
3.8% | 4.9% | 5.9% | 6,495 |
| January 2022 |
4.0% | 5.3% | 6.2% | 6,765 |
| December 2021 |
3.9% | 5.1% | 6.6% | 7,182 |
| November 2021 |
4.2% | 5.2% | 6.5% | 7,139 |
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. ↩
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