Demographics details for Pinellas park, FL vs Dayton, PA
Population Overview
Compare main population characteristics in Pinellas park, FL vs Dayton, PA.
| Data | Pinellas park | Dayton |
|---|---|---|
| Population | 53,653 | 544 |
| Median Age | 43.9 years | 44.7 years |
| Median Income | $62,306 | $53,750 |
| Married Families | 38.0% | 50.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 3.3 | 4.5 |
Population Comparison: Pinellas park vs Dayton
- In Pinellas park, the population is higher at 53,653, compared to 544 in Dayton.
- The median age in Dayton is higher at 44.7 years, compared to 43.9 years in Pinellas park.
- Pinellas park has a higher median income of $62,306 compared to $53,750 in Dayton.
- In Dayton, the percentage of married families is higher at 50.0%, compared to 38.0% in Pinellas park.
- Pinellas park has a higher poverty level at 10% compared to 7% in Dayton.
- Dayton has a higher unemployment rate at 4.5% compared to 3.3% in Pinellas park.
Demographics
Demographics Pinellas park vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Pinellas park | Dayton |
|---|---|---|
| Black | 6 | Data is updating |
| White | 62 | 96 |
| Asian | 11 | Data is updating |
| Hispanic | 13 | Data is updating |
| Two or More Races | 8 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pinellas park vs Dayton
- A higher percentage of Black residents are in Pinellas park at 6% compared to 0% in Dayton.
- The percentage of White residents is higher in Dayton at 96% compared to 62% in Pinellas park.
- The Asian population is larger in Pinellas park at 11% compared to 0% in Dayton.
- The Hispanic community is larger in Pinellas park at 13% compared to 0% in Dayton.
- More residents identify as two or more races in Pinellas park at 8% compared to 4% in Dayton.
- The percentage of American Indian residents is the same in both Pinellas park and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pinellas park | Dayton |
|---|---|---|
| Mental Health Not Good | 16.8% | 18.1% |
| Physical Health Not Good | 11.5% | 13.0% |
| Depression | 19.6% | 24.0% |
| Smoking | 22.3% | 22.4% |
| Binge Drinking | 17.1% | 18.3% |
| Obesity | 27.8% | 36.0% |
| Disability Percentage | 17.0% | 22.0% |
Health Statistics Comparison: Pinellas park vs Dayton
- In Dayton, a higher percentage report poor mental health at 18.1% compared to 16.8% in Pinellas park.
- Higher depression rates are seen in Dayton at 24.0% versus 19.6% in Pinellas park.
- Dayton has a higher smoking rate at 22.4% compared to 22.3% in Pinellas park.
- More residents engage in binge drinking in Dayton at 18.3% compared to 17.1% in Pinellas park.
- Dayton has higher obesity rates at 36.0% compared to 27.8% in Pinellas park.
- There is a higher percentage of disabled individuals in Dayton at 22.0% compared to 17.0% in Pinellas park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pinellas park | Dayton |
|---|---|---|
| No Schooling | 2.6% (1,420) | 0.6% (3) |
| High School Diploma | 17.5% (9,393) | 35.1% (191) |
| Less than High School | 19.3% (10,338) | 15.8% (86) |
| Bachelor's Degree and Higher | 17.9% (9,620) | 9.2% (50) |
Education Levels Comparison: Pinellas park vs Dayton
- A higher percentage of residents in Pinellas park have no formal schooling at 2.6% compared to 0.6% in Dayton.
- In Dayton, the rate of residents with high school diplomas is higher at 35.1% compared to 17.5% in Pinellas park.
- More residents in Pinellas park have less than a high school education at 19.3% compared to 15.8% in Dayton.
- A higher percentage of residents in Pinellas park hold a bachelor's degree or higher at 17.9% compared to 9.2% in Dayton.
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.