Demographics details for Pinellas park, FL vs Fairborn, OH
Population Overview
Compare main population characteristics in Pinellas park, FL vs Fairborn, OH.
Data | Pinellas park | Fairborn |
---|---|---|
Population | 53,653 | 34,977 |
Median Age | 43.9 years | 35.1 years |
Median Income | $62,306 | $53,783 |
Married Families | 38.0% | 33.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 3.3 | 5.1 |
Population Comparison: Pinellas park vs Fairborn
- In Pinellas park, the population is higher at 53,653, compared to 34,977 in Fairborn.
- Residents in Pinellas park have a higher median age of 43.9 years compared to 35.1 years in Fairborn.
- Pinellas park has a higher median income of $62,306 compared to $53,783 in Fairborn.
- A higher percentage of married families is found in Pinellas park at 38.0% compared to 33.0% in Fairborn.
- Pinellas park has a higher poverty level at 10% compared to 9% in Fairborn.
- Fairborn has a higher unemployment rate at 5.1% compared to 3.3% in Pinellas park.
Demographics
Demographics Pinellas park vs Fairborn provide insight into the diversity of the communities to compare.
Demographic | Pinellas park | Fairborn |
---|---|---|
Black | 6 | 9 |
White | 62 | 78 |
Asian | 11 | 1 |
Hispanic | 13 | 4 |
Two or More Races | 8 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pinellas park vs Fairborn
- In Fairborn, the percentage of Black residents is higher at 9% compared to 6% in Pinellas park.
- The percentage of White residents is higher in Fairborn at 78% compared to 62% in Pinellas park.
- The Asian population is larger in Pinellas park at 11% compared to 1% in Fairborn.
- The Hispanic community is larger in Pinellas park at 13% compared to 4% in Fairborn.
- Both Pinellas park and Fairborn have the same percentage of residents identifying as two or more races at 8%.
- The percentage of American Indian residents is the same in both Pinellas park and Fairborn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pinellas park | Fairborn |
---|---|---|
Mental Health Not Good | 16.8% | 18.3% |
Physical Health Not Good | 11.5% | 12.4% |
Depression | 19.6% | 23.4% |
Smoking | 22.3% | 20.5% |
Binge Drinking | 17.1% | 16.3% |
Obesity | 27.8% | 39.7% |
Disability Percentage | 17.0% | 16.0% |
Health Statistics Comparison: Pinellas park vs Fairborn
- In Fairborn, a higher percentage report poor mental health at 18.3% compared to 16.8% in Pinellas park.
- Higher depression rates are seen in Fairborn at 23.4% versus 19.6% in Pinellas park.
- Smoking is more prevalent in Pinellas park at 22.3% compared to 20.5% in Fairborn.
- Binge drinking is more common in Pinellas park at 17.1% compared to 16.3% in Fairborn.
- Fairborn has higher obesity rates at 39.7% compared to 27.8% in Pinellas park.
- Disability percentages are higher in Pinellas park at 17.0% compared to 16.0% in Fairborn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pinellas park | Fairborn |
---|---|---|
No Schooling | 2.6% (1,420) | 0.3% (116) |
High School Diploma | 17.5% (9,393) | 13.2% (4,620) |
Less than High School | 19.3% (10,338) | 12.5% (4,382) |
Bachelor's Degree and Higher | 17.9% (9,620) | 19.4% (6,782) |
Education Levels Comparison: Pinellas park vs Fairborn
- A higher percentage of residents in Pinellas park have no formal schooling at 2.6% compared to 0.3% in Fairborn.
- A higher percentage of residents in Pinellas park hold a high school diploma at 17.5% compared to 13.2% in Fairborn.
- More residents in Pinellas park have less than a high school education at 19.3% compared to 12.5% in Fairborn.
- In Fairborn, a larger share of residents have a bachelor's degree or higher at 19.4% compared to 17.9% in Pinellas park.
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.