Demographics details for Saint cloud, MN vs Manhattan, MT
Population Overview
Compare main population characteristics in Saint cloud, MN vs Manhattan, MT.
| Data | Saint cloud | Manhattan |
|---|---|---|
| Population | 69,568 | 2,120 |
| Median Age | 30.3 years | 39.6 years |
| Median Income | $58,910 | $57,045 |
| Married Families | 30.0% | 37.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 4.3 | 4.2 |
Population Comparison: Saint cloud vs Manhattan
- In Saint cloud, the population is higher at 69,568, compared to 2,120 in Manhattan.
- The median age in Manhattan is higher at 39.6 years, compared to 30.3 years in Saint cloud.
- Saint cloud has a higher median income of $58,910 compared to $57,045 in Manhattan.
- In Manhattan, the percentage of married families is higher at 37.0%, compared to 30.0% in Saint cloud.
- Saint cloud has a higher poverty level at 11% compared to 10% in Manhattan.
- The unemployment rate in Saint cloud is higher at 4.3%, compared to 4.2% in Manhattan.
Demographics
Demographics Saint cloud vs Manhattan provide insight into the diversity of the communities to compare.
| Demographic | Saint cloud | Manhattan |
|---|---|---|
| Black | 18 | Data is updating |
| White | 68 | 94 |
| Asian | 4 | Data is updating |
| Hispanic | 4 | 2 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Saint cloud vs Manhattan
- A higher percentage of Black residents are in Saint cloud at 18% compared to 0% in Manhattan.
- The percentage of White residents is higher in Manhattan at 94% compared to 68% in Saint cloud.
- The Asian population is larger in Saint cloud at 4% compared to 0% in Manhattan.
- The Hispanic community is larger in Saint cloud at 4% compared to 2% in Manhattan.
- More residents identify as two or more races in Saint cloud at 6% compared to 3% in Manhattan.
- In Manhattan, 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 | Manhattan |
|---|---|---|
| Mental Health Not Good | 16.2% | 14.4% |
| Physical Health Not Good | 10.4% | 9.0% |
| Depression | 24.3% | 22.7% |
| Smoking | 19.0% | 13.5% |
| Binge Drinking | 20.3% | 24.2% |
| Obesity | 41.9% | 24.2% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Saint cloud vs Manhattan
- More residents in Saint cloud report poor mental health at 16.2% compared to 14.4% in Manhattan.
- Depression is more prevalent in Saint cloud at 24.3% compared to 22.7% in Manhattan.
- Smoking is more prevalent in Saint cloud at 19.0% compared to 13.5% in Manhattan.
- More residents engage in binge drinking in Manhattan at 24.2% compared to 20.3% in Saint cloud.
- Obesity rates are higher in Saint cloud at 41.9% compared to 24.2% in Manhattan.
- Disability percentages are the same in both Saint cloud and Manhattan at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Saint cloud | Manhattan |
|---|---|---|
| No Schooling | 1.0% (723) | 0.0% (Data is updating) |
| High School Diploma | 12.6% (8,774) | 15.3% (325) |
| Less than High School | 8.0% (5,546) | 0.6% (12) |
| Bachelor's Degree and Higher | 17.3% (12,024) | 18.5% (392) |
Education Levels Comparison: Saint cloud vs Manhattan
- A higher percentage of residents in Saint cloud have no formal schooling at 1.0% compared to 0.0% in Manhattan.
- In Manhattan, the rate of residents with high school diplomas is higher at 15.3% compared to 12.6% in Saint cloud.
- More residents in Saint cloud have less than a high school education at 8.0% compared to 0.6% in Manhattan.
- In Manhattan, a larger share of residents have a bachelor's degree or higher at 18.5% 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.