Demographics details for Melbourne beach, FL vs Akron, OH
Population Overview
Compare main population characteristics in Melbourne beach, FL vs Akron, OH.
| Data | Melbourne beach | Akron |
|---|---|---|
| Population | 3,242 | 188,509 |
| Median Age | 53.5 years | 37.1 years |
| Median Income | $80,795 | $46,596 |
| Married Families | 50.0% | 27.0% |
| Poverty Level | 8% | 11% |
| Unemployment Rate | 4.5 | 6.1 |
Population Comparison: Melbourne beach vs Akron
- The population in Akron is higher at 188,509, compared to 3,242 in Melbourne beach.
- Residents in Melbourne beach have a higher median age of 53.5 years compared to 37.1 years in Akron.
- Melbourne beach has a higher median income of $80,795 compared to $46,596 in Akron.
- A higher percentage of married families is found in Melbourne beach at 50.0% compared to 27.0% in Akron.
- The poverty level is higher in Akron at 11%, compared to 8% in Melbourne beach.
- Akron has a higher unemployment rate at 6.1% compared to 4.5% in Melbourne beach.
Demographics
Demographics Melbourne beach vs Akron provide insight into the diversity of the communities to compare.
| Demographic | Melbourne beach | Akron |
|---|---|---|
| Black | Data is updating | 30 |
| White | 86 | 54 |
| Asian | 1 | 5 |
| Hispanic | 9 | 3 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Melbourne beach vs Akron
- In Akron, the percentage of Black residents is higher at 30% compared to 0% in Melbourne beach.
- Melbourne beach has a higher percentage of White residents at 86% compared to 54% in Akron.
- In Akron, the Asian population stands at 5%, greater than 1% in Melbourne beach.
- The Hispanic community is larger in Melbourne beach at 9% compared to 3% in Akron.
- The percentage of residents identifying as two or more races is higher in Akron at 8%, compared to 4% in Melbourne beach.
- The percentage of American Indian residents is the same in both Melbourne beach and Akron at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Melbourne beach | Akron |
|---|---|---|
| Mental Health Not Good | 14.2% | 20.2% |
| Physical Health Not Good | 8.2% | 14.8% |
| Depression | 19.2% | 25.2% |
| Smoking | 13.6% | 25.9% |
| Binge Drinking | 18.2% | 15.7% |
| Obesity | 28.6% | 48.5% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Melbourne beach vs Akron
- In Akron, a higher percentage report poor mental health at 20.2% compared to 14.2% in Melbourne beach.
- Higher depression rates are seen in Akron at 25.2% versus 19.2% in Melbourne beach.
- Akron has a higher smoking rate at 25.9% compared to 13.6% in Melbourne beach.
- Binge drinking is more common in Melbourne beach at 18.2% compared to 15.7% in Akron.
- Akron has higher obesity rates at 48.5% compared to 28.6% in Melbourne beach.
- There is a higher percentage of disabled individuals in Akron at 17.0% compared to 14.0% in Melbourne beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Melbourne beach | Akron |
|---|---|---|
| No Schooling | 0.7% (22) | 1.7% (3,143) |
| High School Diploma | 8.5% (275) | 19.9% (37,479) |
| Less than High School | 3.3% (108) | 12.6% (23,658) |
| Bachelor's Degree and Higher | 49.8% (1,616) | 15.5% (29,175) |
Education Levels Comparison: Melbourne beach vs Akron
- In Akron, a larger percentage of residents lack formal schooling at 1.7% compared to 0.7% in Melbourne beach.
- In Akron, the rate of residents with high school diplomas is higher at 19.9% compared to 8.5% in Melbourne beach.
- The percentage of residents with less than a high school education is higher in Akron at 12.6%, compared to 3.3% in Melbourne beach.
- A higher percentage of residents in Melbourne beach hold a bachelor's degree or higher at 49.8% compared to 15.5% in Akron.
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.