Demographics details for Saint cloud, MN vs Orange, CA
Population Overview
Compare main population characteristics in Saint cloud, MN vs Orange, CA.
| Data | Saint cloud | Orange |
|---|---|---|
| Population | 69,568 | 136,178 |
| Median Age | 30.3 years | 36.5 years |
| Median Income | $58,910 | $109,335 |
| Married Families | 30.0% | 40.0% |
| Poverty Level | 11% | 9% |
| Unemployment Rate | 4.3 | 4.1 |
Population Comparison: Saint cloud vs Orange
- The population in Orange is higher at 136,178, compared to 69,568 in Saint cloud.
- The median age in Orange is higher at 36.5 years, compared to 30.3 years in Saint cloud.
- Orange has a higher median income of $109,335, compared to $58,910 in Saint cloud.
- In Orange, the percentage of married families is higher at 40.0%, compared to 30.0% in Saint cloud.
- Saint cloud has a higher poverty level at 11% compared to 9% in Orange.
- The unemployment rate in Saint cloud is higher at 4.3%, compared to 4.1% in Orange.
Demographics
Demographics Saint cloud vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Saint cloud | Orange |
|---|---|---|
| Black | 18 | 2 |
| White | 68 | 29 |
| Asian | 4 | 14 |
| Hispanic | 4 | 40 |
| Two or More Races | 6 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Saint cloud vs Orange
- A higher percentage of Black residents are in Saint cloud at 18% compared to 2% in Orange.
- Saint cloud has a higher percentage of White residents at 68% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 4% in Saint cloud.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 4% in Saint cloud.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 6% in Saint cloud.
- In Orange, 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 | Orange |
|---|---|---|
| Mental Health Not Good | 16.2% | 14.9% |
| Physical Health Not Good | 10.4% | 10.2% |
| Depression | 24.3% | 17.9% |
| Smoking | 19.0% | 10.5% |
| Binge Drinking | 20.3% | 16.8% |
| Obesity | 41.9% | 27.1% |
| Disability Percentage | 12.0% | 8.0% |
Health Statistics Comparison: Saint cloud vs Orange
- More residents in Saint cloud report poor mental health at 16.2% compared to 14.9% in Orange.
- Depression is more prevalent in Saint cloud at 24.3% compared to 17.9% in Orange.
- Smoking is more prevalent in Saint cloud at 19.0% compared to 10.5% in Orange.
- Binge drinking is more common in Saint cloud at 20.3% compared to 16.8% in Orange.
- Obesity rates are higher in Saint cloud at 41.9% compared to 27.1% in Orange.
- Disability percentages are higher in Saint cloud at 12.0% compared to 8.0% in Orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Saint cloud | Orange |
|---|---|---|
| No Schooling | 1.0% (723) | 1.8% (2,483) |
| High School Diploma | 12.6% (8,774) | 11.0% (14,986) |
| Less than High School | 8.0% (5,546) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 17.3% (12,024) | 28.2% (38,372) |
Education Levels Comparison: Saint cloud vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% compared to 1.0% in Saint cloud.
- A higher percentage of residents in Saint cloud hold a high school diploma at 12.6% compared to 11.0% in Orange.
- The percentage of residents with less than a high school education is higher in Orange at 15.5%, compared to 8.0% in Saint cloud.
- In Orange, a larger share of residents have a bachelor's degree or higher at 28.2% 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.