Demographics details for Boerne, TX vs Melbourne beach, FL
Population Overview
Compare main population characteristics in Boerne, TX vs Melbourne beach, FL.
| Data | Boerne | Melbourne beach |
|---|---|---|
| Population | 20,707 | 3,242 |
| Median Age | 38.3 years | 53.5 years |
| Median Income | $82,982 | $80,795 |
| Married Families | 38.0% | 50.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Boerne vs Melbourne beach
- In Boerne, the population is higher at 20,707, compared to 3,242 in Melbourne beach.
- The median age in Melbourne beach is higher at 53.5 years, compared to 38.3 years in Boerne.
- Boerne has a higher median income of $82,982 compared to $80,795 in Melbourne beach.
- In Melbourne beach, the percentage of married families is higher at 50.0%, compared to 38.0% in Boerne.
- The poverty level is higher in Melbourne beach at 8%, compared to 5% in Boerne.
- Melbourne beach has a higher unemployment rate at 4.5% compared to 3.5% in Boerne.
Demographics
Demographics Boerne vs Melbourne beach provide insight into the diversity of the communities to compare.
| Demographic | Boerne | Melbourne beach |
|---|---|---|
| Black | 1 | Data is updating |
| White | 60 | 86 |
| Asian | 1 | 1 |
| Hispanic | 27 | 9 |
| Two or More Races | 11 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Boerne vs Melbourne beach
- A higher percentage of Black residents are in Boerne at 1% compared to 0% in Melbourne beach.
- The percentage of White residents is higher in Melbourne beach at 86% compared to 60% in Boerne.
- Both Boerne and Melbourne beach have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Boerne at 27% compared to 9% in Melbourne beach.
- More residents identify as two or more races in Boerne at 11% compared to 4% in Melbourne beach.
- The percentage of American Indian residents is the same in both Boerne and Melbourne beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boerne | Melbourne beach |
|---|---|---|
| Mental Health Not Good | 15.8% | 14.2% |
| Physical Health Not Good | 9.9% | 8.2% |
| Depression | 22.7% | 19.2% |
| Smoking | 13.3% | 13.6% |
| Binge Drinking | 19.9% | 18.2% |
| Obesity | 33.4% | 28.6% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Boerne vs Melbourne beach
- More residents in Boerne report poor mental health at 15.8% compared to 14.2% in Melbourne beach.
- Depression is more prevalent in Boerne at 22.7% compared to 19.2% in Melbourne beach.
- Melbourne beach has a higher smoking rate at 13.6% compared to 13.3% in Boerne.
- Binge drinking is more common in Boerne at 19.9% compared to 18.2% in Melbourne beach.
- Obesity rates are higher in Boerne at 33.4% compared to 28.6% in Melbourne beach.
- There is a higher percentage of disabled individuals in Melbourne beach at 14.0% compared to 10.0% in Boerne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Boerne | Melbourne beach |
|---|---|---|
| No Schooling | 1.4% (284) | 0.7% (22) |
| High School Diploma | 6.7% (1,397) | 8.5% (275) |
| Less than High School | 13.6% (2,810) | 3.3% (108) |
| Bachelor's Degree and Higher | 26.9% (5,561) | 49.8% (1,616) |
Education Levels Comparison: Boerne vs Melbourne beach
- A higher percentage of residents in Boerne have no formal schooling at 1.4% compared to 0.7% in Melbourne beach.
- In Melbourne beach, the rate of residents with high school diplomas is higher at 8.5% compared to 6.7% in Boerne.
- More residents in Boerne have less than a high school education at 13.6% 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 26.9% in Boerne.
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.