Demographics details for White swan, WA vs Coral gables, FL
Population Overview
Compare main population characteristics in White swan, WA vs Coral gables, FL.
Data | White swan | Coral gables |
---|---|---|
Population | 561 | 49,193 |
Median Age | 24.5 years | 39.3 years |
Median Income | $51,667 | $118,203 |
Married Families | 13.0% | 39.0% |
Poverty Level | 12% | 6% |
Unemployment Rate | 8.2 | 2.7 |
Population Comparison: White swan vs Coral gables
- The population in Coral gables is higher at 49,193, compared to 561 in White swan.
- The median age in Coral gables is higher at 39.3 years, compared to 24.5 years in White swan.
- Coral gables has a higher median income of $118,203, compared to $51,667 in White swan.
- In Coral gables, the percentage of married families is higher at 39.0%, compared to 13.0% in White swan.
- White swan has a higher poverty level at 12% compared to 6% in Coral gables.
- The unemployment rate in White swan is higher at 8.2%, compared to 2.7% in Coral gables.
Demographics
Demographics White swan vs Coral gables provide insight into the diversity of the communities to compare.
Demographic | White swan | Coral gables |
---|---|---|
Black | Data is updating | 4 |
White | -6 | 6 |
Asian | Data is updating | 4 |
Hispanic | 26 | 58 |
Two or More Races | 10 | 28 |
American Indian | 70 | Data is updating |
Demographics Comparison: White swan vs Coral gables
- In Coral gables, the percentage of Black residents is higher at 4% compared to 0% in White swan.
- The percentage of White residents is higher in Coral gables at 6% compared to -6% in White swan.
- In Coral gables, the Asian population stands at 4%, greater than 0% in White swan.
- Coral gables has a higher percentage of Hispanic residents at 58%, compared to 26% in White swan.
- The percentage of residents identifying as two or more races is higher in Coral gables at 28%, compared to 10% in White swan.
- A greater percentage of American Indian residents live in White swan at 70% compared to 0% in Coral gables.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | White swan | Coral gables |
---|---|---|
Mental Health Not Good | 22.0% | 13.0% |
Physical Health Not Good | 18.1% | 7.7% |
Depression | 24.7% | 14.6% |
Smoking | 26.0% | 9.4% |
Binge Drinking | 15.8% | 15.5% |
Obesity | 43.8% | 23.8% |
Disability Percentage | 21.0% | 8.0% |
Health Statistics Comparison: White swan vs Coral gables
- More residents in White swan report poor mental health at 22.0% compared to 13.0% in Coral gables.
- Depression is more prevalent in White swan at 24.7% compared to 14.6% in Coral gables.
- Smoking is more prevalent in White swan at 26.0% compared to 9.4% in Coral gables.
- Binge drinking is more common in White swan at 15.8% compared to 15.5% in Coral gables.
- Obesity rates are higher in White swan at 43.8% compared to 23.8% in Coral gables.
- Disability percentages are higher in White swan at 21.0% compared to 8.0% in Coral gables.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | White swan | Coral gables |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (195) |
High School Diploma | 16.4% (92) | 5.4% (2,681) |
Less than High School | 24.8% (139) | 3.8% (1,890) |
Bachelor's Degree and Higher | 0.9% (5) | 45.6% (22,440) |
Education Levels Comparison: White swan vs Coral gables
- In Coral gables, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in White swan.
- A higher percentage of residents in White swan hold a high school diploma at 16.4% compared to 5.4% in Coral gables.
- More residents in White swan have less than a high school education at 24.8% compared to 3.8% in Coral gables.
- In Coral gables, a larger share of residents have a bachelor's degree or higher at 45.6% compared to 0.9% in White swan.
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.