Demographics details for Waterford, CT vs Melbourne beach, FL
Population Overview
Compare main population characteristics in Waterford, CT vs Melbourne beach, FL.
| Data | Waterford | Melbourne beach |
|---|---|---|
| Population | 3,276 | 3,242 |
| Median Age | 45.2 years | 53.5 years |
| Median Income | $74,701 | $80,795 |
| Married Families | 34.0% | 50.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.7 | 4.5 |
Population Comparison: Waterford vs Melbourne beach
- In Waterford, the population is higher at 3,276, compared to 3,242 in Melbourne beach.
- The median age in Melbourne beach is higher at 53.5 years, compared to 45.2 years in Waterford.
- Melbourne beach has a higher median income of $80,795, compared to $74,701 in Waterford.
- In Melbourne beach, the percentage of married families is higher at 50.0%, compared to 34.0% in Waterford.
- The poverty level is higher in Melbourne beach at 8%, compared to 5% in Waterford.
- Melbourne beach has a higher unemployment rate at 4.5% compared to 3.7% in Waterford.
Demographics
Demographics Waterford vs Melbourne beach provide insight into the diversity of the communities to compare.
| Demographic | Waterford | Melbourne beach |
|---|---|---|
| Black | 4 | Data is updating |
| White | 80 | 86 |
| Asian | 5 | 1 |
| Hispanic | 5 | 9 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waterford vs Melbourne beach
- A higher percentage of Black residents are in Waterford at 4% compared to 0% in Melbourne beach.
- The percentage of White residents is higher in Melbourne beach at 86% compared to 80% in Waterford.
- The Asian population is larger in Waterford at 5% compared to 1% in Melbourne beach.
- Melbourne beach has a higher percentage of Hispanic residents at 9%, compared to 5% in Waterford.
- More residents identify as two or more races in Waterford at 6% compared to 4% in Melbourne beach.
- The percentage of American Indian residents is the same in both Waterford and Melbourne beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterford | Melbourne beach |
|---|---|---|
| Mental Health Not Good | 16.7% | 14.2% |
| Physical Health Not Good | 10.4% | 8.2% |
| Depression | 24.0% | 19.2% |
| Smoking | 17.5% | 13.6% |
| Binge Drinking | 17.2% | 18.2% |
| Obesity | 32.3% | 28.6% |
| Disability Percentage | 17.0% | 14.0% |
Health Statistics Comparison: Waterford vs Melbourne beach
- More residents in Waterford report poor mental health at 16.7% compared to 14.2% in Melbourne beach.
- Depression is more prevalent in Waterford at 24.0% compared to 19.2% in Melbourne beach.
- Smoking is more prevalent in Waterford at 17.5% compared to 13.6% in Melbourne beach.
- More residents engage in binge drinking in Melbourne beach at 18.2% compared to 17.2% in Waterford.
- Obesity rates are higher in Waterford at 32.3% compared to 28.6% in Melbourne beach.
- Disability percentages are higher in Waterford at 17.0% 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 | Waterford | Melbourne beach |
|---|---|---|
| No Schooling | 0.5% (17) | 0.7% (22) |
| High School Diploma | 22.6% (739) | 8.5% (275) |
| Less than High School | 5.9% (193) | 3.3% (108) |
| Bachelor's Degree and Higher | 17.8% (582) | 49.8% (1,616) |
Education Levels Comparison: Waterford vs Melbourne beach
- In Melbourne beach, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Waterford.
- A higher percentage of residents in Waterford hold a high school diploma at 22.6% compared to 8.5% in Melbourne beach.
- More residents in Waterford have less than a high school education at 5.9% 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 17.8% in Waterford.
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.