Demographics details for Palmetto, FL vs White swan, WA
Population Overview
Compare main population characteristics in Palmetto, FL vs White swan, WA.
| Data | Palmetto | White swan |
|---|---|---|
| Population | 13,614 | 561 |
| Median Age | 50.0 years | 24.5 years |
| Median Income | $55,584 | $51,667 |
| Married Families | 39.0% | 13.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.5 | 8.2 |
Population Comparison: Palmetto vs White swan
- In Palmetto, the population is higher at 13,614, compared to 561 in White swan.
- Residents in Palmetto have a higher median age of 50.0 years compared to 24.5 years in White swan.
- Palmetto has a higher median income of $55,584 compared to $51,667 in White swan.
- A higher percentage of married families is found in Palmetto at 39.0% compared to 13.0% in White swan.
- The poverty level is higher in White swan at 12%, compared to 10% in Palmetto.
- White swan has a higher unemployment rate at 8.2% compared to 3.5% in Palmetto.
Demographics
Demographics Palmetto vs White swan provide insight into the diversity of the communities to compare.
| Demographic | Palmetto | White swan |
|---|---|---|
| Black | 15 | Data is updating |
| White | 59 | -6 |
| Asian | 2 | Data is updating |
| Hispanic | 21 | 26 |
| Two or More Races | 3 | 10 |
| American Indian | Data is updating | 70 |
Demographics Comparison: Palmetto vs White swan
- A higher percentage of Black residents are in Palmetto at 15% compared to 0% in White swan.
- Palmetto has a higher percentage of White residents at 59% compared to -6% in White swan.
- The Asian population is larger in Palmetto at 2% compared to 0% in White swan.
- White swan has a higher percentage of Hispanic residents at 26%, compared to 21% in Palmetto.
- The percentage of residents identifying as two or more races is higher in White swan at 10%, compared to 3% in Palmetto.
- In White swan, the percentage of American Indian residents is higher at 70%, compared to 0% in Palmetto.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palmetto | White swan |
|---|---|---|
| Mental Health Not Good | 16.8% | 22.0% |
| Physical Health Not Good | 13.7% | 18.1% |
| Depression | 19.8% | 24.7% |
| Smoking | 22.3% | 26.0% |
| Binge Drinking | 15.0% | 15.8% |
| Obesity | 34.7% | 43.8% |
| Disability Percentage | 16.0% | 21.0% |
Health Statistics Comparison: Palmetto vs White swan
- In White swan, a higher percentage report poor mental health at 22.0% compared to 16.8% in Palmetto.
- Higher depression rates are seen in White swan at 24.7% versus 19.8% in Palmetto.
- White swan has a higher smoking rate at 26.0% compared to 22.3% in Palmetto.
- More residents engage in binge drinking in White swan at 15.8% compared to 15.0% in Palmetto.
- White swan has higher obesity rates at 43.8% compared to 34.7% in Palmetto.
- There is a higher percentage of disabled individuals in White swan at 21.0% compared to 16.0% in Palmetto.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Palmetto | White swan |
|---|---|---|
| No Schooling | 0.6% (77) | 0.0% (Data is updating) |
| High School Diploma | 19.0% (2,581) | 16.4% (92) |
| Less than High School | 19.6% (2,665) | 24.8% (139) |
| Bachelor's Degree and Higher | 19.9% (2,709) | 0.9% (5) |
Education Levels Comparison: Palmetto vs White swan
- A higher percentage of residents in Palmetto have no formal schooling at 0.6% compared to 0.0% in White swan.
- A higher percentage of residents in Palmetto hold a high school diploma at 19.0% compared to 16.4% in White swan.
- The percentage of residents with less than a high school education is higher in White swan at 24.8%, compared to 19.6% in Palmetto.
- A higher percentage of residents in Palmetto hold a bachelor's degree or higher at 19.9% 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.