Demographics details for Saint cloud, MN vs Dover, DE
Population Overview
Compare main population characteristics in Saint cloud, MN vs Dover, DE.
| Data | Saint cloud | Dover |
|---|---|---|
| Population | 69,568 | 38,594 |
| Median Age | 30.3 years | 34.7 years |
| Median Income | $58,910 | $54,438 |
| Married Families | 30.0% | 28.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 4.3 | 7.5 |
Population Comparison: Saint cloud vs Dover
- In Saint cloud, the population is higher at 69,568, compared to 38,594 in Dover.
- The median age in Dover is higher at 34.7 years, compared to 30.3 years in Saint cloud.
- Saint cloud has a higher median income of $58,910 compared to $54,438 in Dover.
- A higher percentage of married families is found in Saint cloud at 30.0% compared to 28.0% in Dover.
- Saint cloud has a higher poverty level at 11% compared to 10% in Dover.
- Dover has a higher unemployment rate at 7.5% compared to 4.3% in Saint cloud.
Demographics
Demographics Saint cloud vs Dover provide insight into the diversity of the communities to compare.
| Demographic | Saint cloud | Dover |
|---|---|---|
| Black | 18 | 43 |
| White | 68 | 34 |
| Asian | 4 | 3 |
| Hispanic | 4 | 9 |
| Two or More Races | 6 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Saint cloud vs Dover
- In Dover, the percentage of Black residents is higher at 43% compared to 18% in Saint cloud.
- Saint cloud has a higher percentage of White residents at 68% compared to 34% in Dover.
- The Asian population is larger in Saint cloud at 4% compared to 3% in Dover.
- Dover has a higher percentage of Hispanic residents at 9%, compared to 4% in Saint cloud.
- The percentage of residents identifying as two or more races is higher in Dover at 10%, compared to 6% in Saint cloud.
- In Dover, the percentage of American Indian residents is higher at 1%, compared to 0% in Saint cloud.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Saint cloud | Dover |
|---|---|---|
| Mental Health Not Good | 16.2% | 17.8% |
| Physical Health Not Good | 10.4% | 12.8% |
| Depression | 24.3% | 19.2% |
| Smoking | 19.0% | 20.1% |
| Binge Drinking | 20.3% | 12.1% |
| Obesity | 41.9% | 44.2% |
| Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: Saint cloud vs Dover
- In Dover, 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 19.2% in Dover.
- Dover 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 12.1% in Dover.
- Dover has higher obesity rates at 44.2% compared to 41.9% in Saint cloud.
- There is a higher percentage of disabled individuals in Dover at 17.0% 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 | Dover |
|---|---|---|
| No Schooling | 1.0% (723) | 0.7% (268) |
| High School Diploma | 12.6% (8,774) | 16.1% (6,218) |
| Less than High School | 8.0% (5,546) | 10.5% (4,067) |
| Bachelor's Degree and Higher | 17.3% (12,024) | 16.6% (6,422) |
Education Levels Comparison: Saint cloud vs Dover
- A higher percentage of residents in Saint cloud have no formal schooling at 1.0% compared to 0.7% in Dover.
- In Dover, the rate of residents with high school diplomas is higher at 16.1% compared to 12.6% in Saint cloud.
- The percentage of residents with less than a high school education is higher in Dover at 10.5%, compared to 8.0% in Saint cloud.
- A higher percentage of residents in Saint cloud hold a bachelor's degree or higher at 17.3% compared to 16.6% in Dover.
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.