Demographics details for Mount clemens, MI vs Whitehall, WI
Population Overview
Compare main population characteristics in Mount clemens, MI vs Whitehall, WI.
| Data | Mount clemens | Whitehall |
|---|---|---|
| Population | 15,409 | 1,632 |
| Median Age | 40.2 years | 36.8 years |
| Median Income | $55,154 | $56,894 |
| Married Families | 30.0% | 30.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Mount clemens vs Whitehall
- In Mount clemens, the population is higher at 15,409, compared to 1,632 in Whitehall.
- Residents in Mount clemens have a higher median age of 40.2 years compared to 36.8 years in Whitehall.
- Whitehall has a higher median income of $56,894, compared to $55,154 in Mount clemens.
- The percentage of married families is the same in both Mount clemens and Whitehall at 30.0%.
- Mount clemens has a higher poverty level at 12% compared to 7% in Whitehall.
- Whitehall has a higher unemployment rate at 3.6% compared to 3.5% in Mount clemens.
Demographics
Demographics Mount clemens vs Whitehall provide insight into the diversity of the communities to compare.
| Demographic | Mount clemens | Whitehall |
|---|---|---|
| Black | 24 | 1 |
| White | 65 | 83 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 12 |
| Two or More Races | 8 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mount clemens vs Whitehall
- A higher percentage of Black residents are in Mount clemens at 24% compared to 1% in Whitehall.
- The percentage of White residents is higher in Whitehall at 83% compared to 65% in Mount clemens.
- Both Mount clemens and Whitehall have the same percentage of Asian residents at 0%.
- Whitehall has a higher percentage of Hispanic residents at 12%, compared to 3% in Mount clemens.
- More residents identify as two or more races in Mount clemens at 8% compared to 3% in Whitehall.
- In Whitehall, the percentage of American Indian residents is higher at 1%, compared to 0% in Mount clemens.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount clemens | Whitehall |
|---|---|---|
| Mental Health Not Good | 19.9% | 15.2% |
| Physical Health Not Good | 14.1% | 10.3% |
| Depression | 25.8% | 24.0% |
| Smoking | 25.2% | 16.7% |
| Binge Drinking | 16.9% | 24.4% |
| Obesity | 42.7% | 34.9% |
| Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Mount clemens vs Whitehall
- More residents in Mount clemens report poor mental health at 19.9% compared to 15.2% in Whitehall.
- Depression is more prevalent in Mount clemens at 25.8% compared to 24.0% in Whitehall.
- Smoking is more prevalent in Mount clemens at 25.2% compared to 16.7% in Whitehall.
- More residents engage in binge drinking in Whitehall at 24.4% compared to 16.9% in Mount clemens.
- Obesity rates are higher in Mount clemens at 42.7% compared to 34.9% in Whitehall.
- There is a higher percentage of disabled individuals in Whitehall at 15.0% 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 | Mount clemens | Whitehall |
|---|---|---|
| No Schooling | 1.4% (222) | 0.4% (7) |
| High School Diploma | 22.3% (3,437) | 24.4% (398) |
| Less than High School | 16.6% (2,554) | 15.7% (256) |
| Bachelor's Degree and Higher | 12.1% (1,867) | 8.6% (141) |
Education Levels Comparison: Mount clemens vs Whitehall
- A higher percentage of residents in Mount clemens have no formal schooling at 1.4% compared to 0.4% in Whitehall.
- In Whitehall, the rate of residents with high school diplomas is higher at 24.4% compared to 22.3% in Mount clemens.
- More residents in Mount clemens have less than a high school education at 16.6% compared to 15.7% in Whitehall.
- A higher percentage of residents in Mount clemens hold a bachelor's degree or higher at 12.1% compared to 8.6% in Whitehall.
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.