Demographics details for Anaheim, CA vs Melbourne beach, FL
Population Overview
Compare main population characteristics in Anaheim, CA vs Melbourne beach, FL.
| Data | Anaheim | Melbourne beach |
|---|---|---|
| Population | 344,461 | 3,242 |
| Median Age | 35.4 years | 53.5 years |
| Median Income | $88,538 | $80,795 |
| Married Families | 37.0% | 50.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Anaheim vs Melbourne beach
- In Anaheim, the population is higher at 344,461, compared to 3,242 in Melbourne beach.
- The median age in Melbourne beach is higher at 53.5 years, compared to 35.4 years in Anaheim.
- Anaheim has a higher median income of $88,538 compared to $80,795 in Melbourne beach.
- In Melbourne beach, the percentage of married families is higher at 50.0%, compared to 37.0% in Anaheim.
- Anaheim has a higher poverty level at 12% compared to 8% in Melbourne beach.
- Melbourne beach has a higher unemployment rate at 4.5% compared to 4.2% in Anaheim.
Demographics
Demographics Anaheim vs Melbourne beach provide insight into the diversity of the communities to compare.
| Demographic | Anaheim | Melbourne beach |
|---|---|---|
| Black | 3 | Data is updating |
| White | 8 | 86 |
| Asian | 18 | 1 |
| Hispanic | 54 | 9 |
| Two or More Races | 16 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Anaheim vs Melbourne beach
- A higher percentage of Black residents are in Anaheim at 3% compared to 0% in Melbourne beach.
- The percentage of White residents is higher in Melbourne beach at 86% compared to 8% in Anaheim.
- The Asian population is larger in Anaheim at 18% compared to 1% in Melbourne beach.
- The Hispanic community is larger in Anaheim at 54% compared to 9% in Melbourne beach.
- More residents identify as two or more races in Anaheim at 16% compared to 4% in Melbourne beach.
- A greater percentage of American Indian residents live in Anaheim at 1% compared to 0% in Melbourne beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Anaheim | Melbourne beach |
|---|---|---|
| Mental Health Not Good | 15.5% | 14.2% |
| Physical Health Not Good | 11.6% | 8.2% |
| Depression | 17.3% | 19.2% |
| Smoking | 11.9% | 13.6% |
| Binge Drinking | 15.4% | 18.2% |
| Obesity | 28.6% | 28.6% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Anaheim vs Melbourne beach
- More residents in Anaheim report poor mental health at 15.5% compared to 14.2% in Melbourne beach.
- Higher depression rates are seen in Melbourne beach at 19.2% versus 17.3% in Anaheim.
- Melbourne beach has a higher smoking rate at 13.6% compared to 11.9% in Anaheim.
- More residents engage in binge drinking in Melbourne beach at 18.2% compared to 15.4% in Anaheim.
- Both cities have the same obesity rates at 28.6%.
- There is a higher percentage of disabled individuals in Melbourne beach at 14.0% compared to 9.0% in Anaheim.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Anaheim | Melbourne beach |
|---|---|---|
| No Schooling | 3.2% (10,878) | 0.7% (22) |
| High School Diploma | 13.6% (46,926) | 8.5% (275) |
| Less than High School | 28.0% (96,503) | 3.3% (108) |
| Bachelor's Degree and Higher | 18.9% (65,019) | 49.8% (1,616) |
Education Levels Comparison: Anaheim vs Melbourne beach
- A higher percentage of residents in Anaheim have no formal schooling at 3.2% compared to 0.7% in Melbourne beach.
- A higher percentage of residents in Anaheim hold a high school diploma at 13.6% compared to 8.5% in Melbourne beach.
- More residents in Anaheim have less than a high school education at 28.0% compared to 3.3% in Melbourne beach.
- In Melbourne beach, a larger share of residents have a bachelor's degree or higher at 49.8% compared to 18.9% in Anaheim.
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.