Demographics details for College park, MD vs Orange, CA
Population Overview
Compare main population characteristics in College park, MD vs Orange, CA.
| Data | College park | Orange |
|---|---|---|
| Population | 34,190 | 136,178 |
| Median Age | 21.6 years | 36.5 years |
| Median Income | $76,973 | $109,335 |
| Married Families | 17.0% | 40.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 5.5 | 4.1 |
Population Comparison: College park vs Orange
- The population in Orange is higher at 136,178, compared to 34,190 in College park.
- The median age in Orange is higher at 36.5 years, compared to 21.6 years in College park.
- Orange has a higher median income of $109,335, compared to $76,973 in College park.
- In Orange, the percentage of married families is higher at 40.0%, compared to 17.0% in College park.
- College park has a higher poverty level at 10% compared to 9% in Orange.
- The unemployment rate in College park is higher at 5.5%, compared to 4.1% in Orange.
Demographics
Demographics College park vs Orange provide insight into the diversity of the communities to compare.
| Demographic | College park | Orange |
|---|---|---|
| Black | 23 | 2 |
| White | 39 | 29 |
| Asian | 14 | 14 |
| Hispanic | 17 | 40 |
| Two or More Races | 7 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: College park vs Orange
- A higher percentage of Black residents are in College park at 23% compared to 2% in Orange.
- College park has a higher percentage of White residents at 39% compared to 29% in Orange.
- Both College park and Orange have the same percentage of Asian residents at 14%.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 17% in College park.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 7% in College park.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in College park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | College park | Orange |
|---|---|---|
| Mental Health Not Good | 14.8% | 14.9% |
| Physical Health Not Good | 10.0% | 10.2% |
| Depression | 15.4% | 17.9% |
| Smoking | 12.4% | 10.5% |
| Binge Drinking | 12.8% | 16.8% |
| Obesity | 36.4% | 27.1% |
| Disability Percentage | 5.0% | 8.0% |
Health Statistics Comparison: College park vs Orange
- In Orange, a higher percentage report poor mental health at 14.9% compared to 14.8% in College park.
- Higher depression rates are seen in Orange at 17.9% versus 15.4% in College park.
- Smoking is more prevalent in College park at 12.4% compared to 10.5% in Orange.
- More residents engage in binge drinking in Orange at 16.8% compared to 12.8% in College park.
- Obesity rates are higher in College park at 36.4% compared to 27.1% in Orange.
- There is a higher percentage of disabled individuals in Orange at 8.0% compared to 5.0% in College park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | College park | Orange |
|---|---|---|
| No Schooling | 1.9% (657) | 1.8% (2,483) |
| High School Diploma | 6.4% (2,199) | 11.0% (14,986) |
| Less than High School | 9.4% (3,210) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 19.8% (6,769) | 28.2% (38,372) |
Education Levels Comparison: College park vs Orange
- A higher percentage of residents in College park have no formal schooling at 1.9% compared to 1.8% in Orange.
- In Orange, the rate of residents with high school diplomas is higher at 11.0% compared to 6.4% in College park.
- The percentage of residents with less than a high school education is higher in Orange at 15.5%, compared to 9.4% in College park.
- In Orange, a larger share of residents have a bachelor's degree or higher at 28.2% compared to 19.8% in College park.
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.