Demographics details for Freeport, MN vs Orange, CA
Population Overview
Compare main population characteristics in Freeport, MN vs Orange, CA.
| Data | Freeport | Orange |
|---|---|---|
| Population | 677 | 136,178 |
| Median Age | 29.9 years | 36.5 years |
| Median Income | $91,250 | $109,335 |
| Married Families | 53.0% | 40.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 2.5 | 4.1 |
Population Comparison: Freeport vs Orange
- The population in Orange is higher at 136,178, compared to 677 in Freeport.
- The median age in Orange is higher at 36.5 years, compared to 29.9 years in Freeport.
- Orange has a higher median income of $109,335, compared to $91,250 in Freeport.
- A higher percentage of married families is found in Freeport at 53.0% compared to 40.0% in Orange.
- The poverty level is higher in Orange at 9%, compared to 5% in Freeport.
- Orange has a higher unemployment rate at 4.1% compared to 2.5% in Freeport.
Demographics
Demographics Freeport vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Freeport | Orange |
|---|---|---|
| Black | 2 | 2 |
| White | 82 | 29 |
| Asian | Data is updating | 14 |
| Hispanic | 12 | 40 |
| Two or More Races | 4 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Freeport vs Orange
- The percentage of Black residents is the same in both Freeport and Orange at 2%.
- Freeport has a higher percentage of White residents at 82% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 0% in Freeport.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 12% in Freeport.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 4% in Freeport.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in Freeport.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Freeport | Orange |
|---|---|---|
| Mental Health Not Good | 15.0% | 14.9% |
| Physical Health Not Good | 9.3% | 10.2% |
| Depression | 23.7% | 17.9% |
| Smoking | 17.2% | 10.5% |
| Binge Drinking | 23.3% | 16.8% |
| Obesity | 39.9% | 27.1% |
| Disability Percentage | 6.0% | 8.0% |
Health Statistics Comparison: Freeport vs Orange
- More residents in Freeport report poor mental health at 15.0% compared to 14.9% in Orange.
- Depression is more prevalent in Freeport at 23.7% compared to 17.9% in Orange.
- Smoking is more prevalent in Freeport at 17.2% compared to 10.5% in Orange.
- Binge drinking is more common in Freeport at 23.3% compared to 16.8% in Orange.
- Obesity rates are higher in Freeport at 39.9% compared to 27.1% in Orange.
- There is a higher percentage of disabled individuals in Orange at 8.0% compared to 6.0% in Freeport.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Freeport | Orange |
|---|---|---|
| No Schooling | 0.3% (2) | 1.8% (2,483) |
| High School Diploma | 19.9% (135) | 11.0% (14,986) |
| Less than High School | 9.2% (62) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 17.4% (118) | 28.2% (38,372) |
Education Levels Comparison: Freeport vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% compared to 0.3% in Freeport.
- A higher percentage of residents in Freeport hold a high school diploma at 19.9% 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 9.2% in Freeport.
- In Orange, a larger share of residents have a bachelor's degree or higher at 28.2% compared to 17.4% in Freeport.
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.