Demographics details for Saint cloud, MN vs Mercer, PA
Population Overview
Compare main population characteristics in Saint cloud, MN vs Mercer, PA.
| Data | Saint cloud | Mercer |
|---|---|---|
| Population | 69,568 | 109,220 |
| Median Age | 30.3 years | 45.0 years |
| Median Income | $58,910 | $57,353 |
| Married Families | 30.0% | 42.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 4.3 | 4.2 |
Population Comparison: Saint cloud vs Mercer
- The population in Mercer is higher at 109,220, compared to 69,568 in Saint cloud.
- The median age in Mercer is higher at 45.0 years, compared to 30.3 years in Saint cloud.
- Saint cloud has a higher median income of $58,910 compared to $57,353 in Mercer.
- In Mercer, the percentage of married families is higher at 42.0%, compared to 30.0% in Saint cloud.
- Saint cloud has a higher poverty level at 11% compared to 10% in Mercer.
- The unemployment rate in Saint cloud is higher at 4.3%, compared to 4.2% in Mercer.
Demographics
Demographics Saint cloud vs Mercer provide insight into the diversity of the communities to compare.
| Demographic | Saint cloud | Mercer |
|---|---|---|
| Black | 18 | 6 |
| White | 68 | 87 |
| Asian | 4 | 1 |
| Hispanic | 4 | 2 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Saint cloud vs Mercer
- A higher percentage of Black residents are in Saint cloud at 18% compared to 6% in Mercer.
- The percentage of White residents is higher in Mercer at 87% compared to 68% in Saint cloud.
- The Asian population is larger in Saint cloud at 4% compared to 1% in Mercer.
- The Hispanic community is larger in Saint cloud at 4% compared to 2% in Mercer.
- More residents identify as two or more races in Saint cloud at 6% compared to 4% in Mercer.
- The percentage of American Indian residents is the same in both Saint cloud and Mercer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Saint cloud | Mercer |
|---|---|---|
| Mental Health Not Good | 16.2% | 17.8% |
| Physical Health Not Good | 10.4% | 12.1% |
| Depression | 24.3% | 23.7% |
| Smoking | 19.0% | 20.1% |
| Binge Drinking | 20.3% | 18.5% |
| Obesity | 41.9% | 40.3% |
| Disability Percentage | 12.0% | 18.0% |
Health Statistics Comparison: Saint cloud vs Mercer
- In Mercer, a higher percentage report poor mental health at 17.8% compared to 16.2% in Saint cloud.
- Depression is more prevalent in Saint cloud at 24.3% compared to 23.7% in Mercer.
- Mercer has a higher smoking rate at 20.1% compared to 19.0% in Saint cloud.
- Binge drinking is more common in Saint cloud at 20.3% compared to 18.5% in Mercer.
- Obesity rates are higher in Saint cloud at 41.9% compared to 40.3% in Mercer.
- There is a higher percentage of disabled individuals in Mercer at 18.0% compared to 12.0% in Saint cloud.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Saint cloud | Mercer |
|---|---|---|
| No Schooling | 1.0% (723) | 0.6% (662) |
| High School Diploma | 12.6% (8,774) | 26.5% (28,924) |
| Less than High School | 8.0% (5,546) | 13.0% (14,161) |
| Bachelor's Degree and Higher | 17.3% (12,024) | 17.4% (19,021) |
Education Levels Comparison: Saint cloud vs Mercer
- A higher percentage of residents in Saint cloud have no formal schooling at 1.0% compared to 0.6% in Mercer.
- In Mercer, the rate of residents with high school diplomas is higher at 26.5% compared to 12.6% in Saint cloud.
- The percentage of residents with less than a high school education is higher in Mercer at 13.0%, compared to 8.0% in Saint cloud.
- In Mercer, a larger share of residents have a bachelor's degree or higher at 17.4% compared to 17.3% in Saint cloud.
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.