Demographics details for Melbourne beach, FL vs Bonita, CA
Population Overview
Compare main population characteristics in Melbourne beach, FL vs Bonita, CA.
| Data | Melbourne beach | Bonita |
|---|---|---|
| Population | 3,242 | 13,473 |
| Median Age | 53.5 years | 45.2 years |
| Median Income | $80,795 | $115,118 |
| Married Families | 50.0% | 41.0% |
| Poverty Level | 8% | 7% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Melbourne beach vs Bonita
- The population in Bonita is higher at 13,473, compared to 3,242 in Melbourne beach.
- Residents in Melbourne beach have a higher median age of 53.5 years compared to 45.2 years in Bonita.
- Bonita has a higher median income of $115,118, compared to $80,795 in Melbourne beach.
- A higher percentage of married families is found in Melbourne beach at 50.0% compared to 41.0% in Bonita.
- Melbourne beach has a higher poverty level at 8% compared to 7% in Bonita.
- The unemployment rate in Melbourne beach is higher at 4.5%, compared to 3.5% in Bonita.
Demographics
Demographics Melbourne beach vs Bonita provide insight into the diversity of the communities to compare.
| Demographic | Melbourne beach | Bonita |
|---|---|---|
| Black | Data is updating | 2 |
| White | 86 | 17 |
| Asian | 1 | 11 |
| Hispanic | 9 | 49 |
| Two or More Races | 4 | 21 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Melbourne beach vs Bonita
- In Bonita, the percentage of Black residents is higher at 2% compared to 0% in Melbourne beach.
- Melbourne beach has a higher percentage of White residents at 86% compared to 17% in Bonita.
- In Bonita, the Asian population stands at 11%, greater than 1% in Melbourne beach.
- Bonita has a higher percentage of Hispanic residents at 49%, compared to 9% in Melbourne beach.
- The percentage of residents identifying as two or more races is higher in Bonita at 21%, compared to 4% in Melbourne beach.
- The percentage of American Indian residents is the same in both Melbourne beach and Bonita at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Melbourne beach | Bonita |
|---|---|---|
| Mental Health Not Good | 14.2% | 14.3% |
| Physical Health Not Good | 8.2% | 9.4% |
| Depression | 19.2% | 16.2% |
| Smoking | 13.6% | 9.1% |
| Binge Drinking | 18.2% | 19.1% |
| Obesity | 28.6% | 23.3% |
| Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Melbourne beach vs Bonita
- In Bonita, a higher percentage report poor mental health at 14.3% compared to 14.2% in Melbourne beach.
- Depression is more prevalent in Melbourne beach at 19.2% compared to 16.2% in Bonita.
- Smoking is more prevalent in Melbourne beach at 13.6% compared to 9.1% in Bonita.
- More residents engage in binge drinking in Bonita at 19.1% compared to 18.2% in Melbourne beach.
- Obesity rates are higher in Melbourne beach at 28.6% compared to 23.3% in Bonita.
- Disability percentages are higher in Melbourne beach at 14.0% compared to 10.0% in Bonita.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Melbourne beach | Bonita |
|---|---|---|
| No Schooling | 0.7% (22) | 1.3% (177) |
| High School Diploma | 8.5% (275) | 12.6% (1,704) |
| Less than High School | 3.3% (108) | 13.3% (1,796) |
| Bachelor's Degree and Higher | 49.8% (1,616) | 29.2% (3,934) |
Education Levels Comparison: Melbourne beach vs Bonita
- In Bonita, a larger percentage of residents lack formal schooling at 1.3% compared to 0.7% in Melbourne beach.
- In Bonita, the rate of residents with high school diplomas is higher at 12.6% compared to 8.5% in Melbourne beach.
- The percentage of residents with less than a high school education is higher in Bonita at 13.3%, 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 29.2% in Bonita.
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.