Demographics details for Dassel, MN vs Mount clemens, MI
Population Overview
Compare main population characteristics in Dassel, MN vs Mount clemens, MI.
Data | Dassel | Mount clemens |
---|---|---|
Population | 1,483 | 15,409 |
Median Age | 43.7 years | 40.2 years |
Median Income | $58,958 | $55,154 |
Married Families | 33.0% | 30.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Dassel vs Mount clemens
- The population in Mount clemens is higher at 15,409, compared to 1,483 in Dassel.
- Residents in Dassel have a higher median age of 43.7 years compared to 40.2 years in Mount clemens.
- Dassel has a higher median income of $58,958 compared to $55,154 in Mount clemens.
- A higher percentage of married families is found in Dassel at 33.0% compared to 30.0% in Mount clemens.
- The poverty level is higher in Mount clemens at 12%, compared to 9% in Dassel.
- The unemployment rate is the same in both Dassel and Mount clemens at 3.5%.
Demographics
Demographics Dassel vs Mount clemens provide insight into the diversity of the communities to compare.
Demographic | Dassel | Mount clemens |
---|---|---|
Black | Data is updating | 24 |
White | 95 | 65 |
Asian | 1 | Data is updating |
Hispanic | 1 | 3 |
Two or More Races | 3 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Dassel vs Mount clemens
- In Mount clemens, the percentage of Black residents is higher at 24% compared to 0% in Dassel.
- Dassel has a higher percentage of White residents at 95% compared to 65% in Mount clemens.
- The Asian population is larger in Dassel at 1% compared to 0% in Mount clemens.
- Mount clemens has a higher percentage of Hispanic residents at 3%, compared to 1% in Dassel.
- The percentage of residents identifying as two or more races is higher in Mount clemens at 8%, compared to 3% in Dassel.
- The percentage of American Indian residents is the same in both Dassel and Mount clemens at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dassel | Mount clemens |
---|---|---|
Mental Health Not Good | 14.6% | 19.9% |
Physical Health Not Good | 8.8% | 14.1% |
Depression | 23.2% | 25.8% |
Smoking | 17.4% | 25.2% |
Binge Drinking | 22.1% | 16.9% |
Obesity | 32.6% | 42.7% |
Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Dassel vs Mount clemens
- In Mount clemens, a higher percentage report poor mental health at 19.9% compared to 14.6% in Dassel.
- Higher depression rates are seen in Mount clemens at 25.8% versus 23.2% in Dassel.
- Mount clemens has a higher smoking rate at 25.2% compared to 17.4% in Dassel.
- Binge drinking is more common in Dassel at 22.1% compared to 16.9% in Mount clemens.
- Mount clemens has higher obesity rates at 42.7% compared to 32.6% in Dassel.
- There is a higher percentage of disabled individuals in Mount clemens at 14.0% compared to 13.0% in Dassel.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Dassel | Mount clemens |
---|---|---|
No Schooling | 0.5% (8) | 1.4% (222) |
High School Diploma | 25.1% (372) | 22.3% (3,437) |
Less than High School | 9.4% (140) | 16.6% (2,554) |
Bachelor's Degree and Higher | 14.8% (220) | 12.1% (1,867) |
Education Levels Comparison: Dassel vs Mount clemens
- In Mount clemens, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Dassel.
- A higher percentage of residents in Dassel hold a high school diploma at 25.1% compared to 22.3% in Mount clemens.
- The percentage of residents with less than a high school education is higher in Mount clemens at 16.6%, compared to 9.4% in Dassel.
- A higher percentage of residents in Dassel hold a bachelor's degree or higher at 14.8% compared to 12.1% in Mount clemens.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.