Demographics details for Dayton, TN vs Saint cloud, MN
Population Overview
Compare main population characteristics in Dayton, TN vs Saint cloud, MN.
| Data | Dayton | Saint cloud |
|---|---|---|
| Population | 7,347 | 69,568 |
| Median Age | 34.6 years | 30.3 years |
| Median Income | $54,511 | $58,910 |
| Married Families | 36.0% | 30.0% |
| Poverty Level | 15% | 11% |
| Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Dayton vs Saint cloud
- The population in Saint cloud is higher at 69,568, compared to 7,347 in Dayton.
- Residents in Dayton have a higher median age of 34.6 years compared to 30.3 years in Saint cloud.
- Saint cloud has a higher median income of $58,910, compared to $54,511 in Dayton.
- A higher percentage of married families is found in Dayton at 36.0% compared to 30.0% in Saint cloud.
- Dayton has a higher poverty level at 15% compared to 11% in Saint cloud.
- Saint cloud has a higher unemployment rate at 4.3% compared to 3.5% in Dayton.
Demographics
Demographics Dayton vs Saint cloud provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Saint cloud |
|---|---|---|
| Black | 4 | 18 |
| White | 83 | 68 |
| Asian | 2 | 4 |
| Hispanic | 6 | 4 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dayton vs Saint cloud
- In Saint cloud, the percentage of Black residents is higher at 18% compared to 4% in Dayton.
- Dayton has a higher percentage of White residents at 83% compared to 68% in Saint cloud.
- In Saint cloud, the Asian population stands at 4%, greater than 2% in Dayton.
- The Hispanic community is larger in Dayton at 6% compared to 4% in Saint cloud.
- The percentage of residents identifying as two or more races is higher in Saint cloud at 6%, compared to 5% in Dayton.
- The percentage of American Indian residents is the same in both Dayton and Saint cloud at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Saint cloud |
|---|---|---|
| Mental Health Not Good | 22.9% | 16.2% |
| Physical Health Not Good | 17.4% | 10.4% |
| Depression | 32.0% | 24.3% |
| Smoking | 28.8% | 19.0% |
| Binge Drinking | 13.4% | 20.3% |
| Obesity | 44.2% | 41.9% |
| Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Dayton vs Saint cloud
- More residents in Dayton report poor mental health at 22.9% compared to 16.2% in Saint cloud.
- Depression is more prevalent in Dayton at 32.0% compared to 24.3% in Saint cloud.
- Smoking is more prevalent in Dayton at 28.8% compared to 19.0% in Saint cloud.
- More residents engage in binge drinking in Saint cloud at 20.3% compared to 13.4% in Dayton.
- Obesity rates are higher in Dayton at 44.2% compared to 41.9% in Saint cloud.
- Disability percentages are higher in Dayton at 20.0% 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 | Dayton | Saint cloud |
|---|---|---|
| No Schooling | 2.0% (145) | 1.0% (723) |
| High School Diploma | 19.8% (1,453) | 12.6% (8,774) |
| Less than High School | 23.6% (1,732) | 8.0% (5,546) |
| Bachelor's Degree and Higher | 10.7% (783) | 17.3% (12,024) |
Education Levels Comparison: Dayton vs Saint cloud
- A higher percentage of residents in Dayton have no formal schooling at 2.0% compared to 1.0% in Saint cloud.
- A higher percentage of residents in Dayton hold a high school diploma at 19.8% compared to 12.6% in Saint cloud.
- More residents in Dayton have less than a high school education at 23.6% compared to 8.0% in Saint cloud.
- In Saint cloud, a larger share of residents have a bachelor's degree or higher at 17.3% compared to 10.7% in Dayton.
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.