Demographics details for Hope, AR vs Melbourne beach, FL
Population Overview
Compare main population characteristics in Hope, AR vs Melbourne beach, FL.
| Data | Hope | Melbourne beach |
|---|---|---|
| Population | 8,624 | 3,242 |
| Median Age | 36.2 years | 53.5 years |
| Median Income | $43,018 | $80,795 |
| Married Families | 29.0% | 50.0% |
| Poverty Level | 20% | 8% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Hope vs Melbourne beach
- In Hope, the population is higher at 8,624, compared to 3,242 in Melbourne beach.
- The median age in Melbourne beach is higher at 53.5 years, compared to 36.2 years in Hope.
- Melbourne beach has a higher median income of $80,795, compared to $43,018 in Hope.
- In Melbourne beach, the percentage of married families is higher at 50.0%, compared to 29.0% in Hope.
- Hope has a higher poverty level at 20% compared to 8% in Melbourne beach.
- The unemployment rate is the same in both Hope and Melbourne beach at 4.5%.
Demographics
Demographics Hope vs Melbourne beach provide insight into the diversity of the communities to compare.
| Demographic | Hope | Melbourne beach |
|---|---|---|
| Black | 48 | Data is updating |
| White | 28 | 86 |
| Asian | Data is updating | 1 |
| Hispanic | 19 | 9 |
| Two or More Races | 4 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Hope vs Melbourne beach
- A higher percentage of Black residents are in Hope at 48% compared to 0% in Melbourne beach.
- The percentage of White residents is higher in Melbourne beach at 86% compared to 28% in Hope.
- In Melbourne beach, the Asian population stands at 1%, greater than 0% in Hope.
- The Hispanic community is larger in Hope at 19% compared to 9% in Melbourne beach.
- Both Hope and Melbourne beach have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Hope at 1% compared to 0% in Melbourne beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hope | Melbourne beach |
|---|---|---|
| Mental Health Not Good | 20.9% | 14.2% |
| Physical Health Not Good | 16.6% | 8.2% |
| Depression | 24.8% | 19.2% |
| Smoking | 25.2% | 13.6% |
| Binge Drinking | 12.1% | 18.2% |
| Obesity | 48.0% | 28.6% |
| Disability Percentage | 20.0% | 14.0% |
Health Statistics Comparison: Hope vs Melbourne beach
- More residents in Hope report poor mental health at 20.9% compared to 14.2% in Melbourne beach.
- Depression is more prevalent in Hope at 24.8% compared to 19.2% in Melbourne beach.
- Smoking is more prevalent in Hope at 25.2% compared to 13.6% in Melbourne beach.
- More residents engage in binge drinking in Melbourne beach at 18.2% compared to 12.1% in Hope.
- Obesity rates are higher in Hope at 48.0% compared to 28.6% in Melbourne beach.
- Disability percentages are higher in Hope at 20.0% 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 | Hope | Melbourne beach |
|---|---|---|
| No Schooling | 3.0% (258) | 0.7% (22) |
| High School Diploma | 20.8% (1,790) | 8.5% (275) |
| Less than High School | 19.0% (1,641) | 3.3% (108) |
| Bachelor's Degree and Higher | 10.0% (863) | 49.8% (1,616) |
Education Levels Comparison: Hope vs Melbourne beach
- A higher percentage of residents in Hope have no formal schooling at 3.0% compared to 0.7% in Melbourne beach.
- A higher percentage of residents in Hope hold a high school diploma at 20.8% compared to 8.5% in Melbourne beach.
- More residents in Hope have less than a high school education at 19.0% 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 10.0% in Hope.
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.