Minnesota
Unemployment Rate By County
in May, 2016
Updated on April 6, 2023.
According to data from the US BLS, the unemployment rate of Minnesota was 3.8% (sa) in May, 2016. Among all Minnesota counties, these 3 were among those with high unemployment rates (nsa): Clearwater (8.2%), Itasca (7.8%), and Koochiching (7.7%).
On the hand, the following three counties were among those with low unemployment rates (nsa): Rock (2.1%), Stevens (2.5%), and Nicollet (2.5%).
The chart and table below shows the unemployment rate (nsa) for each county.
You can see similar information by state for the United States.
Related Topics: Minnesota BLS Topic List.
Data Source: US Bureau of Labor Statistics.
See this for other months:
Minnesota
Unemployment Rate By County
in May, 2016
Minnesota
Unemployment Rate By County
in May, 2016
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County | Unemployment Rate (%) |
---|---|
Aitkin | 5.5 |
Anoka | 3.2 |
Becker | 3.5 |
Beltrami | 4.7 |
Benton | 3.7 |
Big Stone | 3.5 |
Blue Earth | 2.8 |
Brown | 3.8 |
Carlton | 4.6 |
Carver | 2.8 |
Cass | 5.2 |
Chippewa | 3.6 |
Chisago | 3.5 |
Clay | 2.8 |
Clearwater | 8.2 |
Cook | 4.1 |
Cottonwood | 5.4 |
Crow Wing | 4 |
Dakota | 3 |
Dodge | 2.8 |
Douglas | 2.7 |
Faribault | 3.8 |
Fillmore | 3.1 |
Freeborn | 3.2 |
Goodhue | 3.1 |
Grant | 3.3 |
Hennepin | 3 |
Houston | 3 |
Hubbard | 5.2 |
Isanti | 3.8 |
Itasca | 7.8 |
Jackson | 5.5 |
Kanabec | 5 |
Kandiyohi | 3.1 |
Kittson | 3.4 |
Koochiching | 7.7 |
Lac qui Parle | 3.4 |
Lake | 4.7 |
Lake of the Woods | 4 |
Le Sueur | 3.7 |
Lincoln | 2.8 |
Lyon | 2.9 |
McLeod | 3.9 |
Mahnomen | 4.6 |
Marshall | 5.5 |
Martin | 4 |
Meeker | 3.6 |
Mille Lacs | 4.7 |
Morrison | 4.1 |
Mower | 2.7 |
Murray | 3.3 |
Nicollet | 2.5 |
Nobles | 3.1 |
Norman | 3.9 |
Olmsted | 2.6 |
Otter Tail | 3.3 |
Pennington | 4.1 |
Pine | 4.5 |
Pipestone | 3 |
Polk | 3.7 |
Pope | 2.7 |
Ramsey | 3.2 |
Red Lake | 5.2 |
Redwood | 3.2 |
Renville | 5 |
Rice | 2.9 |
Rock | 2.1 |
Roseau | 3.8 |
St. Louis | 5.1 |
Scott | 2.7 |
Sherburne | 3.3 |
Sibley | 3.4 |
Stearns | 3.2 |
Steele | 2.9 |
Stevens | 2.5 |
Swift | 4.2 |
Todd | 3.5 |
Traverse | 2.8 |
Wabasha | 3.1 |
Wadena | 4.6 |
Waseca | 3.7 |
Washington | 2.9 |
Watonwan | 4.1 |
Wilkin | 2.7 |
Winona | 3.2 |
Wright | 3.2 |
Yellow Medicine | 3.2 |