Department of Numbers

Dayton, Ohio Unemployment

The BLS reported that the unemployment rate for Dayton rose 0.1 percentage points in December 2015 to 4.9%. For the same month, the metro unemployment rate was 0.2 percentage points higher than the Ohio rate. The unemployment rate in Dayton peaked in December 2009 at 12.1% and is now 7.2 percentage points lower. From a post peak low of 4.2% in August 2015, the unemployment rate has now grown by 0.7 percentage points. You can also compare Dayton unemployment with unemployment in other cities.

Unemployment Rate December 2015 Month/Month Year/Year
National 5.0% 0.0 -0.6
Ohio 4.7% +0.2 -0.4
Dayton 4.9% +0.1 -0.2
Note: Metro level data is now seasonally adjusted.1 All comparisons are made with December 2015 data as January metro level unemployment data has not yet been released.

Unemployment Rate: Dayton, Ohio, National

Dayton, Ohio monthly unemployment rate chart

Note: Recessions shown in gray.

Dayton, Ohio Unemployed

The number of people unemployed in Dayton peaked in January 2010 at 48,300. There are now 29,592 fewer people unemployed in the metropolitan area. From a recent trough of 16,131 in August 2015, the number of unemployed has now grown by 2,577. Dayton employment and jobs data (including jobs lost/gained in Dayton, Ohio) is also available.

Unemployed Persons December 2015 Month/Month Year/Year
Dayton 18,708 +417 -750

Number of Unemployed Persons

Dayton, Ohio Unemployment History

Date National
Unemployment Rate
Ohio
Unemployment Rate
Dayton
Unemployment Rate
Dayton
Unemployed
January
2016
4.9%
December
2015
5.0% 4.7% 4.9% 18,708
November
2015
5.0% 4.5% 4.8% 18,291
October
2015
5.0% 4.4% 4.5% 17,240
September
2015
5.1% 4.5% 4.4% 16,702
August
2015
5.1% 4.6% 4.2% 16,131
July
2015
5.3% 5.0% 4.5% 17,323
June
2015
5.3% 5.2% 4.7% 18,032
May
2015
5.5% 5.2% 5.0% 18,918
April
2015
5.4% 5.2% 4.9% 18,538
March
2015
5.5% 5.1% 5.0% 18,861
February
2015
5.5% 5.1% 5.0% 19,022

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.