Demographics details for College park, MD vs Tampa, FL
Population Overview
Compare main population characteristics in College park, MD vs Tampa, FL.
Data | College park | Tampa |
---|---|---|
Population | 34,190 | 398,173 |
Median Age | 21.6 years | 35.5 years |
Median Income | $76,973 | $66,802 |
Married Families | 17.0% | 31.0% |
Poverty Level | 10% | 17% |
Unemployment Rate | 5.5 | 3.7 |
Population Comparison: College park vs Tampa
- The population in Tampa is higher at 398,173, compared to 34,190 in College park.
- The median age in Tampa is higher at 35.5 years, compared to 21.6 years in College park.
- College park has a higher median income of $76,973 compared to $66,802 in Tampa.
- In Tampa, the percentage of married families is higher at 31.0%, compared to 17.0% in College park.
- The poverty level is higher in Tampa at 17%, compared to 10% in College park.
- The unemployment rate in College park is higher at 5.5%, compared to 3.7% in Tampa.
Demographics
Demographics College park vs Tampa provide insight into the diversity of the communities to compare.
Demographic | College park | Tampa |
---|---|---|
Black | 23 | 21 |
White | 39 | 35 |
Asian | 14 | 5 |
Hispanic | 17 | 26 |
Two or More Races | 7 | 13 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: College park vs Tampa
- A higher percentage of Black residents are in College park at 23% compared to 21% in Tampa.
- College park has a higher percentage of White residents at 39% compared to 35% in Tampa.
- The Asian population is larger in College park at 14% compared to 5% in Tampa.
- Tampa has a higher percentage of Hispanic residents at 26%, compared to 17% in College park.
- The percentage of residents identifying as two or more races is higher in Tampa at 13%, compared to 7% in College park.
- The percentage of American Indian residents is the same in both College park and Tampa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | College park | Tampa |
---|---|---|
Mental Health Not Good | 14.8% | 15.8% |
Physical Health Not Good | 10.0% | 11.8% |
Depression | 15.4% | 17.6% |
Smoking | 12.4% | 18.0% |
Binge Drinking | 12.8% | 15.8% |
Obesity | 36.4% | 31.6% |
Disability Percentage | 5.0% | 11.0% |
Health Statistics Comparison: College park vs Tampa
- In Tampa, a higher percentage report poor mental health at 15.8% compared to 14.8% in College park.
- Higher depression rates are seen in Tampa at 17.6% versus 15.4% in College park.
- Tampa has a higher smoking rate at 18.0% compared to 12.4% in College park.
- More residents engage in binge drinking in Tampa at 15.8% compared to 12.8% in College park.
- Obesity rates are higher in College park at 36.4% compared to 31.6% in Tampa.
- There is a higher percentage of disabled individuals in Tampa 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 | College park | Tampa |
---|---|---|
No Schooling | 1.9% (657) | 1.2% (4,784) |
High School Diploma | 6.4% (2,199) | 13.0% (51,749) |
Less than High School | 9.4% (3,210) | 12.2% (48,642) |
Bachelor's Degree and Higher | 19.8% (6,769) | 28.7% (114,410) |
Education Levels Comparison: College park vs Tampa
- A higher percentage of residents in College park have no formal schooling at 1.9% compared to 1.2% in Tampa.
- In Tampa, the rate of residents with high school diplomas is higher at 13.0% compared to 6.4% in College park.
- The percentage of residents with less than a high school education is higher in Tampa at 12.2%, compared to 9.4% in College park.
- In Tampa, a larger share of residents have a bachelor's degree or higher at 28.7% 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.