Demographics details for Bowie, MD vs Saint cloud, MN
Population Overview
Compare main population characteristics in Bowie, MD vs Saint cloud, MN.
| Data | Bowie | Saint cloud |
|---|---|---|
| Population | 57,192 | 69,568 |
| Median Age | 43.2 years | 30.3 years |
| Median Income | $138,797 | $58,910 |
| Married Families | 41.0% | 30.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 2.8 | 4.3 |
Population Comparison: Bowie vs Saint cloud
- The population in Saint cloud is higher at 69,568, compared to 57,192 in Bowie.
- Residents in Bowie have a higher median age of 43.2 years compared to 30.3 years in Saint cloud.
- Bowie has a higher median income of $138,797 compared to $58,910 in Saint cloud.
- A higher percentage of married families is found in Bowie at 41.0% compared to 30.0% in Saint cloud.
- The poverty level is higher in Saint cloud at 11%, compared to 5% in Bowie.
- Saint cloud has a higher unemployment rate at 4.3% compared to 2.8% in Bowie.
Demographics
Demographics Bowie vs Saint cloud provide insight into the diversity of the communities to compare.
| Demographic | Bowie | Saint cloud |
|---|---|---|
| Black | 58 | 18 |
| White | 24 | 68 |
| Asian | 3 | 4 |
| Hispanic | 8 | 4 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bowie vs Saint cloud
- A higher percentage of Black residents are in Bowie at 58% compared to 18% in Saint cloud.
- The percentage of White residents is higher in Saint cloud at 68% compared to 24% in Bowie.
- In Saint cloud, the Asian population stands at 4%, greater than 3% in Bowie.
- The Hispanic community is larger in Bowie at 8% compared to 4% in Saint cloud.
- More residents identify as two or more races in Bowie at 7% compared to 6% in Saint cloud.
- The percentage of American Indian residents is the same in both Bowie and Saint cloud at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bowie | Saint cloud |
|---|---|---|
| Mental Health Not Good | 12.4% | 16.2% |
| Physical Health Not Good | 7.4% | 10.4% |
| Depression | 13.3% | 24.3% |
| Smoking | 8.7% | 19.0% |
| Binge Drinking | 13.6% | 20.3% |
| Obesity | 35.1% | 41.9% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Bowie vs Saint cloud
- In Saint cloud, a higher percentage report poor mental health at 16.2% compared to 12.4% in Bowie.
- Higher depression rates are seen in Saint cloud at 24.3% versus 13.3% in Bowie.
- Saint cloud has a higher smoking rate at 19.0% compared to 8.7% in Bowie.
- More residents engage in binge drinking in Saint cloud at 20.3% compared to 13.6% in Bowie.
- Saint cloud has higher obesity rates at 41.9% compared to 35.1% in Bowie.
- There is a higher percentage of disabled individuals in Saint cloud at 12.0% compared to 9.0% in Bowie.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bowie | Saint cloud |
|---|---|---|
| No Schooling | 0.9% (531) | 1.0% (723) |
| High School Diploma | 12.2% (6,950) | 12.6% (8,774) |
| Less than High School | 5.9% (3,399) | 8.0% (5,546) |
| Bachelor's Degree and Higher | 35.9% (20,525) | 17.3% (12,024) |
Education Levels Comparison: Bowie vs Saint cloud
- In Saint cloud, a larger percentage of residents lack formal schooling at 1.0% compared to 0.9% in Bowie.
- In Saint cloud, the rate of residents with high school diplomas is higher at 12.6% compared to 12.2% in Bowie.
- The percentage of residents with less than a high school education is higher in Saint cloud at 8.0%, compared to 5.9% in Bowie.
- A higher percentage of residents in Bowie hold a bachelor's degree or higher at 35.9% 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.