Demographics details for Compton, CA vs College park, MD
Population Overview
Compare main population characteristics in Compton, CA vs College park, MD.
Data | Compton | College park |
---|---|---|
Population | 91,988 | 34,190 |
Median Age | 33.4 years | 21.6 years |
Median Income | $69,728 | $76,973 |
Married Families | 31.0% | 17.0% |
Poverty Level | 21% | 10% |
Unemployment Rate | 7.6 | 5.5 |
Population Comparison: Compton vs College park
- In Compton, the population is higher at 91,988, compared to 34,190 in College park.
- Residents in Compton have a higher median age of 33.4 years compared to 21.6 years in College park.
- College park has a higher median income of $76,973, compared to $69,728 in Compton.
- A higher percentage of married families is found in Compton at 31.0% compared to 17.0% in College park.
- Compton has a higher poverty level at 21% compared to 10% in College park.
- The unemployment rate in Compton is higher at 7.6%, compared to 5.5% in College park.
Demographics
Demographics Compton vs College park provide insight into the diversity of the communities to compare.
Demographic | Compton | College park |
---|---|---|
Black | 26 | 23 |
White | -21 | 39 |
Asian | 1 | 14 |
Hispanic | 73 | 17 |
Two or More Races | 21 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Compton vs College park
- A higher percentage of Black residents are in Compton at 26% compared to 23% in College park.
- The percentage of White residents is higher in College park at 39% compared to -21% in Compton.
- In College park, the Asian population stands at 14%, greater than 1% in Compton.
- The Hispanic community is larger in Compton at 73% compared to 17% in College park.
- More residents identify as two or more races in Compton at 21% compared to 7% in College park.
- The percentage of American Indian residents is the same in both Compton and College park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Compton | College park |
---|---|---|
Mental Health Not Good | 18.4% | 14.8% |
Physical Health Not Good | 15.7% | 10.0% |
Depression | 16.3% | 15.4% |
Smoking | 15.9% | 12.4% |
Binge Drinking | 13.4% | 12.8% |
Obesity | 37.8% | 36.4% |
Disability Percentage | 11.0% | 5.0% |
Health Statistics Comparison: Compton vs College park
- More residents in Compton report poor mental health at 18.4% compared to 14.8% in College park.
- Depression is more prevalent in Compton at 16.3% compared to 15.4% in College park.
- Smoking is more prevalent in Compton at 15.9% compared to 12.4% in College park.
- Binge drinking is more common in Compton at 13.4% compared to 12.8% in College park.
- Obesity rates are higher in Compton at 37.8% compared to 36.4% in College park.
- Disability percentages are higher in Compton at 11.0% 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 | Compton | College park |
---|---|---|
No Schooling | 5.1% (4,703) | 1.9% (657) |
High School Diploma | 16.7% (15,373) | 6.4% (2,199) |
Less than High School | 44.3% (40,709) | 9.4% (3,210) |
Bachelor's Degree and Higher | 6.7% (6,166) | 19.8% (6,769) |
Education Levels Comparison: Compton vs College park
- A higher percentage of residents in Compton have no formal schooling at 5.1% compared to 1.9% in College park.
- A higher percentage of residents in Compton hold a high school diploma at 16.7% compared to 6.4% in College park.
- More residents in Compton have less than a high school education at 44.3% compared to 9.4% in College park.
- In College park, a larger share of residents have a bachelor's degree or higher at 19.8% compared to 6.7% in Compton.
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.