Demographics details for Melbourne beach, FL vs Falconer, NY
Population Overview
Compare main population characteristics in Melbourne beach, FL vs Falconer, NY.
| Data | Melbourne beach | Falconer |
|---|---|---|
| Population | 3,242 | 2,262 |
| Median Age | 53.5 years | 46.4 years |
| Median Income | $80,795 | $50,625 |
| Married Families | 50.0% | 37.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Melbourne beach vs Falconer
- In Melbourne beach, the population is higher at 3,242, compared to 2,262 in Falconer.
- Residents in Melbourne beach have a higher median age of 53.5 years compared to 46.4 years in Falconer.
- Melbourne beach has a higher median income of $80,795 compared to $50,625 in Falconer.
- A higher percentage of married families is found in Melbourne beach at 50.0% compared to 37.0% in Falconer.
- The poverty level is higher in Falconer at 10%, compared to 8% in Melbourne beach.
- The unemployment rate is the same in both Melbourne beach and Falconer at 4.5%.
Demographics
Demographics Melbourne beach vs Falconer provide insight into the diversity of the communities to compare.
| Demographic | Melbourne beach | Falconer |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 86 | 99 |
| Asian | 1 | Data is updating |
| Hispanic | 9 | Data is updating |
| Two or More Races | 4 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Melbourne beach vs Falconer
- The percentage of Black residents is the same in both Melbourne beach and Falconer at 0%.
- The percentage of White residents is higher in Falconer at 99% compared to 86% in Melbourne beach.
- The Asian population is larger in Melbourne beach at 1% compared to 0% in Falconer.
- The Hispanic community is larger in Melbourne beach at 9% compared to 0% in Falconer.
- More residents identify as two or more races in Melbourne beach at 4% compared to 1% in Falconer.
- The percentage of American Indian residents is the same in both Melbourne beach and Falconer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Melbourne beach | Falconer |
|---|---|---|
| Mental Health Not Good | 14.2% | 16.9% |
| Physical Health Not Good | 8.2% | 11.6% |
| Depression | 19.2% | 26.7% |
| Smoking | 13.6% | 21.4% |
| Binge Drinking | 18.2% | 18.6% |
| Obesity | 28.6% | 36.5% |
| Disability Percentage | 14.0% | 23.0% |
Health Statistics Comparison: Melbourne beach vs Falconer
- In Falconer, a higher percentage report poor mental health at 16.9% compared to 14.2% in Melbourne beach.
- Higher depression rates are seen in Falconer at 26.7% versus 19.2% in Melbourne beach.
- Falconer has a higher smoking rate at 21.4% compared to 13.6% in Melbourne beach.
- More residents engage in binge drinking in Falconer at 18.6% compared to 18.2% in Melbourne beach.
- Falconer has higher obesity rates at 36.5% compared to 28.6% in Melbourne beach.
- There is a higher percentage of disabled individuals in Falconer at 23.0% 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 | Falconer |
|---|---|---|
| No Schooling | 0.7% (22) | 0.2% (5) |
| High School Diploma | 8.5% (275) | 20.2% (458) |
| Less than High School | 3.3% (108) | 13.0% (294) |
| Bachelor's Degree and Higher | 49.8% (1,616) | 10.5% (237) |
Education Levels Comparison: Melbourne beach vs Falconer
- A higher percentage of residents in Melbourne beach have no formal schooling at 0.7% compared to 0.2% in Falconer.
- In Falconer, the rate of residents with high school diplomas is higher at 20.2% compared to 8.5% in Melbourne beach.
- The percentage of residents with less than a high school education is higher in Falconer at 13.0%, 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 10.5% in Falconer.
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.