Demographics details for Cleveland, OH vs College park, MD
Population Overview
Compare main population characteristics in Cleveland, OH vs College park, MD.
| Data | Cleveland | College park |
|---|---|---|
| Population | 361,607 | 34,190 |
| Median Age | 36.3 years | 21.6 years |
| Median Income | $37,271 | $76,973 |
| Married Families | 20.0% | 17.0% |
| Poverty Level | 23% | 10% |
| Unemployment Rate | 5.7 | 5.5 |
Population Comparison: Cleveland vs College park
- In Cleveland, the population is higher at 361,607, compared to 34,190 in College park.
- Residents in Cleveland have a higher median age of 36.3 years compared to 21.6 years in College park.
- College park has a higher median income of $76,973, compared to $37,271 in Cleveland.
- A higher percentage of married families is found in Cleveland at 20.0% compared to 17.0% in College park.
- Cleveland has a higher poverty level at 23% compared to 10% in College park.
- The unemployment rate in Cleveland is higher at 5.7%, compared to 5.5% in College park.
Demographics
Demographics Cleveland vs College park provide insight into the diversity of the communities to compare.
| Demographic | Cleveland | College park |
|---|---|---|
| Black | 48 | 23 |
| White | 28 | 39 |
| Asian | 3 | 14 |
| Hispanic | 13 | 17 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cleveland vs College park
- A higher percentage of Black residents are in Cleveland at 48% compared to 23% in College park.
- The percentage of White residents is higher in College park at 39% compared to 28% in Cleveland.
- In College park, the Asian population stands at 14%, greater than 3% in Cleveland.
- College park has a higher percentage of Hispanic residents at 17%, compared to 13% in Cleveland.
- More residents identify as two or more races in Cleveland at 8% compared to 7% in College park.
- The percentage of American Indian residents is the same in both Cleveland and College park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cleveland | College park |
|---|---|---|
| Mental Health Not Good | 20.2% | 14.8% |
| Physical Health Not Good | 16.6% | 10.0% |
| Depression | 24.0% | 15.4% |
| Smoking | 27.1% | 12.4% |
| Binge Drinking | 14.8% | 12.8% |
| Obesity | 42.1% | 36.4% |
| Disability Percentage | 20.0% | 5.0% |
Health Statistics Comparison: Cleveland vs College park
- More residents in Cleveland report poor mental health at 20.2% compared to 14.8% in College park.
- Depression is more prevalent in Cleveland at 24.0% compared to 15.4% in College park.
- Smoking is more prevalent in Cleveland at 27.1% compared to 12.4% in College park.
- Binge drinking is more common in Cleveland at 14.8% compared to 12.8% in College park.
- Obesity rates are higher in Cleveland at 42.1% compared to 36.4% in College park.
- Disability percentages are higher in Cleveland at 20.0% 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 | Cleveland | College park |
|---|---|---|
| No Schooling | 1.6% (5,667) | 1.9% (657) |
| High School Diploma | 19.0% (68,853) | 6.4% (2,199) |
| Less than High School | 17.5% (63,329) | 9.4% (3,210) |
| Bachelor's Degree and Higher | 14.3% (51,656) | 19.8% (6,769) |
Education Levels Comparison: Cleveland vs College park
- In College park, a larger percentage of residents lack formal schooling at 1.9% compared to 1.6% in Cleveland.
- A higher percentage of residents in Cleveland hold a high school diploma at 19.0% compared to 6.4% in College park.
- More residents in Cleveland have less than a high school education at 17.5% 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 14.3% in Cleveland.
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.