Demographics details for Saint cloud, MN vs Bunnell, FL
Population Overview
Compare main population characteristics in Saint cloud, MN vs Bunnell, FL.
Data | Saint cloud | Bunnell |
---|---|---|
Population | 69,568 | 3,631 |
Median Age | 30.3 years | 51.4 years |
Median Income | $58,910 | $42,831 |
Married Families | 30.0% | 26.0% |
Poverty Level | 11% | 15% |
Unemployment Rate | 4.3 | 4.1 |
Population Comparison: Saint cloud vs Bunnell
- In Saint cloud, the population is higher at 69,568, compared to 3,631 in Bunnell.
- The median age in Bunnell is higher at 51.4 years, compared to 30.3 years in Saint cloud.
- Saint cloud has a higher median income of $58,910 compared to $42,831 in Bunnell.
- A higher percentage of married families is found in Saint cloud at 30.0% compared to 26.0% in Bunnell.
- The poverty level is higher in Bunnell at 15%, compared to 11% in Saint cloud.
- The unemployment rate in Saint cloud is higher at 4.3%, compared to 4.1% in Bunnell.
Demographics
Demographics Saint cloud vs Bunnell provide insight into the diversity of the communities to compare.
Demographic | Saint cloud | Bunnell |
---|---|---|
Black | 18 | 19 |
White | 68 | 68 |
Asian | 4 | 1 |
Hispanic | 4 | 4 |
Two or More Races | 6 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Saint cloud vs Bunnell
- In Bunnell, the percentage of Black residents is higher at 19% compared to 18% in Saint cloud.
- The percentage of White residents is the same in both Saint cloud and Bunnell at 68%.
- The Asian population is larger in Saint cloud at 4% compared to 1% in Bunnell.
- The percentage of Hispanic residents is the same in both Saint cloud and Bunnell at 4%.
- The percentage of residents identifying as two or more races is higher in Bunnell at 8%, compared to 6% in Saint cloud.
- The percentage of American Indian residents is the same in both Saint cloud and Bunnell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Saint cloud | Bunnell |
---|---|---|
Mental Health Not Good | 16.2% | 16.7% |
Physical Health Not Good | 10.4% | 11.5% |
Depression | 24.3% | 21.0% |
Smoking | 19.0% | 21.0% |
Binge Drinking | 20.3% | 16.5% |
Obesity | 41.9% | 34.3% |
Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Saint cloud vs Bunnell
- In Bunnell, a higher percentage report poor mental health at 16.7% compared to 16.2% in Saint cloud.
- Depression is more prevalent in Saint cloud at 24.3% compared to 21.0% in Bunnell.
- Bunnell has a higher smoking rate at 21.0% compared to 19.0% in Saint cloud.
- Binge drinking is more common in Saint cloud at 20.3% compared to 16.5% in Bunnell.
- Obesity rates are higher in Saint cloud at 41.9% compared to 34.3% in Bunnell.
- Disability percentages are higher in Saint cloud at 12.0% compared to 9.0% in Bunnell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Saint cloud | Bunnell |
---|---|---|
No Schooling | 1.0% (723) | 0.7% (25) |
High School Diploma | 12.6% (8,774) | 31.2% (1,134) |
Less than High School | 8.0% (5,546) | 13.9% (505) |
Bachelor's Degree and Higher | 17.3% (12,024) | 11.3% (411) |
Education Levels Comparison: Saint cloud vs Bunnell
- A higher percentage of residents in Saint cloud have no formal schooling at 1.0% compared to 0.7% in Bunnell.
- In Bunnell, the rate of residents with high school diplomas is higher at 31.2% compared to 12.6% in Saint cloud.
- The percentage of residents with less than a high school education is higher in Bunnell at 13.9%, 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 11.3% in Bunnell.
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.