Demographics details for Mount clemens, MI vs Germantown, TN
Population Overview
Compare main population characteristics in Mount clemens, MI vs Germantown, TN.
Data | Mount clemens | Germantown |
---|---|---|
Population | 15,409 | 40,816 |
Median Age | 40.2 years | 43.5 years |
Median Income | $55,154 | $140,429 |
Married Families | 30.0% | 53.0% |
Poverty Level | 12% | 4% |
Unemployment Rate | 3.5 | 2.9 |
Population Comparison: Mount clemens vs Germantown
- The population in Germantown is higher at 40,816, compared to 15,409 in Mount clemens.
- The median age in Germantown is higher at 43.5 years, compared to 40.2 years in Mount clemens.
- Germantown has a higher median income of $140,429, compared to $55,154 in Mount clemens.
- In Germantown, the percentage of married families is higher at 53.0%, compared to 30.0% in Mount clemens.
- Mount clemens has a higher poverty level at 12% compared to 4% in Germantown.
- The unemployment rate in Mount clemens is higher at 3.5%, compared to 2.9% in Germantown.
Demographics
Demographics Mount clemens vs Germantown provide insight into the diversity of the communities to compare.
Demographic | Mount clemens | Germantown |
---|---|---|
Black | 24 | 5 |
White | 65 | 85 |
Asian | Data is updating | 5 |
Hispanic | 3 | 2 |
Two or More Races | 8 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount clemens vs Germantown
- A higher percentage of Black residents are in Mount clemens at 24% compared to 5% in Germantown.
- The percentage of White residents is higher in Germantown at 85% compared to 65% in Mount clemens.
- In Germantown, the Asian population stands at 5%, greater than 0% in Mount clemens.
- The Hispanic community is larger in Mount clemens at 3% compared to 2% in Germantown.
- More residents identify as two or more races in Mount clemens at 8% compared to 3% in Germantown.
- The percentage of American Indian residents is the same in both Mount clemens and Germantown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount clemens | Germantown |
---|---|---|
Mental Health Not Good | 19.9% | 13.7% |
Physical Health Not Good | 14.1% | 7.9% |
Depression | 25.8% | 22.1% |
Smoking | 25.2% | 10.1% |
Binge Drinking | 16.9% | 18.8% |
Obesity | 42.7% | 26.5% |
Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Mount clemens vs Germantown
- More residents in Mount clemens report poor mental health at 19.9% compared to 13.7% in Germantown.
- Depression is more prevalent in Mount clemens at 25.8% compared to 22.1% in Germantown.
- Smoking is more prevalent in Mount clemens at 25.2% compared to 10.1% in Germantown.
- More residents engage in binge drinking in Germantown at 18.8% compared to 16.9% in Mount clemens.
- Obesity rates are higher in Mount clemens at 42.7% compared to 26.5% in Germantown.
- Disability percentages are higher in Mount clemens at 14.0% compared to 8.0% in Germantown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount clemens | Germantown |
---|---|---|
No Schooling | 1.4% (222) | 0.1% (57) |
High School Diploma | 22.3% (3,437) | 5.2% (2,137) |
Less than High School | 16.6% (2,554) | 1.9% (786) |
Bachelor's Degree and Higher | 12.1% (1,867) | 47.7% (19,459) |
Education Levels Comparison: Mount clemens vs Germantown
- A higher percentage of residents in Mount clemens have no formal schooling at 1.4% compared to 0.1% in Germantown.
- A higher percentage of residents in Mount clemens hold a high school diploma at 22.3% compared to 5.2% in Germantown.
- More residents in Mount clemens have less than a high school education at 16.6% compared to 1.9% in Germantown.
- In Germantown, a larger share of residents have a bachelor's degree or higher at 47.7% 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.