Demographics details for South gate, CA vs College park, MD
Population Overview
Compare main population characteristics in South gate, CA vs College park, MD.
Data | South gate | College park |
---|---|---|
Population | 90,926 | 34,190 |
Median Age | 33.7 years | 21.6 years |
Median Income | $67,188 | $76,973 |
Married Families | 34.0% | 17.0% |
Poverty Level | 18% | 10% |
Unemployment Rate | 6.1 | 5.5 |
Population Comparison: South gate vs College park
- In South gate, the population is higher at 90,926, compared to 34,190 in College park.
- Residents in South gate have a higher median age of 33.7 years compared to 21.6 years in College park.
- College park has a higher median income of $76,973, compared to $67,188 in South gate.
- A higher percentage of married families is found in South gate at 34.0% compared to 17.0% in College park.
- South gate has a higher poverty level at 18% compared to 10% in College park.
- The unemployment rate in South gate is higher at 6.1%, compared to 5.5% in College park.
Demographics
Demographics South gate vs College park provide insight into the diversity of the communities to compare.
Demographic | South gate | College park |
---|---|---|
Black | 1 | 23 |
White | -21 | 39 |
Asian | 1 | 14 |
Hispanic | 97 | 17 |
Two or More Races | 21 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: South gate vs College park
- In College park, the percentage of Black residents is higher at 23% compared to 1% in South gate.
- The percentage of White residents is higher in College park at 39% compared to -21% in South gate.
- In College park, the Asian population stands at 14%, greater than 1% in South gate.
- The Hispanic community is larger in South gate at 97% compared to 17% in College park.
- More residents identify as two or more races in South gate at 21% compared to 7% in College park.
- A greater percentage of American Indian residents live in South gate at 1% compared to 0% in College park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | South gate | College park |
---|---|---|
Mental Health Not Good | 16.8% | 14.8% |
Physical Health Not Good | 14.9% | 10.0% |
Depression | 16.3% | 15.4% |
Smoking | 12.7% | 12.4% |
Binge Drinking | 14.5% | 12.8% |
Obesity | 34.1% | 36.4% |
Disability Percentage | 9.0% | 5.0% |
Health Statistics Comparison: South gate vs College park
- More residents in South gate report poor mental health at 16.8% compared to 14.8% in College park.
- Depression is more prevalent in South gate at 16.3% compared to 15.4% in College park.
- Smoking is more prevalent in South gate at 12.7% compared to 12.4% in College park.
- Binge drinking is more common in South gate at 14.5% compared to 12.8% in College park.
- College park has higher obesity rates at 36.4% compared to 34.1% in South gate.
- Disability percentages are higher in South gate at 9.0% 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 | South gate | College park |
---|---|---|
No Schooling | 4.6% (4,160) | 1.9% (657) |
High School Diploma | 14.9% (13,536) | 6.4% (2,199) |
Less than High School | 53.3% (48,481) | 9.4% (3,210) |
Bachelor's Degree and Higher | 7.5% (6,822) | 19.8% (6,769) |
Education Levels Comparison: South gate vs College park
- A higher percentage of residents in South gate have no formal schooling at 4.6% compared to 1.9% in College park.
- A higher percentage of residents in South gate hold a high school diploma at 14.9% compared to 6.4% in College park.
- More residents in South gate have less than a high school education at 53.3% 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 7.5% in South gate.
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.