Demographics details for Princeton, MO vs Mount clemens, MI
Population Overview
Compare main population characteristics in Princeton, MO vs Mount clemens, MI.
| Data | Princeton | Mount clemens |
|---|---|---|
| Population | 977 | 15,409 |
| Median Age | 39.3 years | 40.2 years |
| Median Income | $45,764 | $55,154 |
| Married Families | 33.0% | 30.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Princeton vs Mount clemens
- The population in Mount clemens is higher at 15,409, compared to 977 in Princeton.
- The median age in Mount clemens is higher at 40.2 years, compared to 39.3 years in Princeton.
- Mount clemens has a higher median income of $55,154, compared to $45,764 in Princeton.
- A higher percentage of married families is found in Princeton at 33.0% compared to 30.0% in Mount clemens.
- Princeton has a higher poverty level at 14% compared to 12% in Mount clemens.
- The unemployment rate is the same in both Princeton and Mount clemens at 3.5%.
Demographics
Demographics Princeton vs Mount clemens provide insight into the diversity of the communities to compare.
| Demographic | Princeton | Mount clemens |
|---|---|---|
| Black | 1 | 24 |
| White | 82 | 65 |
| Asian | Data is updating | Data is updating |
| Hispanic | 9 | 3 |
| Two or More Races | 6 | 8 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Princeton vs Mount clemens
- In Mount clemens, the percentage of Black residents is higher at 24% compared to 1% in Princeton.
- Princeton has a higher percentage of White residents at 82% compared to 65% in Mount clemens.
- Both Princeton and Mount clemens have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Princeton at 9% compared to 3% in Mount clemens.
- The percentage of residents identifying as two or more races is higher in Mount clemens at 8%, compared to 6% in Princeton.
- A greater percentage of American Indian residents live in Princeton at 2% compared to 0% in Mount clemens.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Princeton | Mount clemens |
|---|---|---|
| Mental Health Not Good | 18.5% | 19.9% |
| Physical Health Not Good | 13.2% | 14.1% |
| Depression | 25.8% | 25.8% |
| Smoking | 22.5% | 25.2% |
| Binge Drinking | 18.2% | 16.9% |
| Obesity | 38.6% | 42.7% |
| Disability Percentage | 20.0% | 14.0% |
Health Statistics Comparison: Princeton vs Mount clemens
- In Mount clemens, a higher percentage report poor mental health at 19.9% compared to 18.5% in Princeton.
- Both cities have comparable depression rates at 25.8%.
- Mount clemens has a higher smoking rate at 25.2% compared to 22.5% in Princeton.
- Binge drinking is more common in Princeton at 18.2% compared to 16.9% in Mount clemens.
- Mount clemens has higher obesity rates at 42.7% compared to 38.6% in Princeton.
- Disability percentages are higher in Princeton at 20.0% compared to 14.0% in Mount clemens.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Princeton | Mount clemens |
|---|---|---|
| No Schooling | 0.2% (2) | 1.4% (222) |
| High School Diploma | 29.8% (291) | 22.3% (3,437) |
| Less than High School | 18.0% (176) | 16.6% (2,554) |
| Bachelor's Degree and Higher | 16.9% (165) | 12.1% (1,867) |
Education Levels Comparison: Princeton vs Mount clemens
- In Mount clemens, a larger percentage of residents lack formal schooling at 1.4% compared to 0.2% in Princeton.
- A higher percentage of residents in Princeton hold a high school diploma at 29.8% compared to 22.3% in Mount clemens.
- More residents in Princeton have less than a high school education at 18.0% compared to 16.6% in Mount clemens.
- A higher percentage of residents in Princeton hold a bachelor's degree or higher at 16.9% 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.