Demographics details for Pinellas park, FL vs Suffolk, VA
Population Overview
Compare main population characteristics in Pinellas park, FL vs Suffolk, VA.
| Data | Pinellas park | Suffolk |
|---|---|---|
| Population | 53,653 | 98,537 |
| Median Age | 43.9 years | 38.5 years |
| Median Income | $62,306 | $87,758 |
| Married Families | 38.0% | 40.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 3.3 | 3.2 |
Population Comparison: Pinellas park vs Suffolk
- The population in Suffolk is higher at 98,537, compared to 53,653 in Pinellas park.
- Residents in Pinellas park have a higher median age of 43.9 years compared to 38.5 years in Suffolk.
- Suffolk has a higher median income of $87,758, compared to $62,306 in Pinellas park.
- In Suffolk, the percentage of married families is higher at 40.0%, compared to 38.0% in Pinellas park.
- Pinellas park has a higher poverty level at 10% compared to 7% in Suffolk.
- The unemployment rate in Pinellas park is higher at 3.3%, compared to 3.2% in Suffolk.
Demographics
Demographics Pinellas park vs Suffolk provide insight into the diversity of the communities to compare.
| Demographic | Pinellas park | Suffolk |
|---|---|---|
| Black | 6 | 40 |
| White | 62 | 47 |
| Asian | 11 | 2 |
| Hispanic | 13 | 5 |
| Two or More Races | 8 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pinellas park vs Suffolk
- In Suffolk, the percentage of Black residents is higher at 40% compared to 6% in Pinellas park.
- Pinellas park has a higher percentage of White residents at 62% compared to 47% in Suffolk.
- The Asian population is larger in Pinellas park at 11% compared to 2% in Suffolk.
- The Hispanic community is larger in Pinellas park at 13% compared to 5% in Suffolk.
- More residents identify as two or more races in Pinellas park at 8% compared to 6% in Suffolk.
- The percentage of American Indian residents is the same in both Pinellas park and Suffolk at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pinellas park | Suffolk |
|---|---|---|
| Mental Health Not Good | 16.8% | 16.6% |
| Physical Health Not Good | 11.5% | 10.6% |
| Depression | 19.6% | 21.4% |
| Smoking | 22.3% | 15.3% |
| Binge Drinking | 17.1% | 16.6% |
| Obesity | 27.8% | 42.4% |
| Disability Percentage | 17.0% | 11.0% |
Health Statistics Comparison: Pinellas park vs Suffolk
- More residents in Pinellas park report poor mental health at 16.8% compared to 16.6% in Suffolk.
- Higher depression rates are seen in Suffolk at 21.4% versus 19.6% in Pinellas park.
- Smoking is more prevalent in Pinellas park at 22.3% compared to 15.3% in Suffolk.
- Binge drinking is more common in Pinellas park at 17.1% compared to 16.6% in Suffolk.
- Suffolk has higher obesity rates at 42.4% compared to 27.8% in Pinellas park.
- Disability percentages are higher in Pinellas park at 17.0% compared to 11.0% in Suffolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pinellas park | Suffolk |
|---|---|---|
| No Schooling | 2.6% (1,420) | 1.0% (965) |
| High School Diploma | 17.5% (9,393) | 14.9% (14,643) |
| Less than High School | 19.3% (10,338) | 7.8% (7,701) |
| Bachelor's Degree and Higher | 17.9% (9,620) | 21.0% (20,740) |
Education Levels Comparison: Pinellas park vs Suffolk
- A higher percentage of residents in Pinellas park have no formal schooling at 2.6% compared to 1.0% in Suffolk.
- A higher percentage of residents in Pinellas park hold a high school diploma at 17.5% compared to 14.9% in Suffolk.
- More residents in Pinellas park have less than a high school education at 19.3% compared to 7.8% in Suffolk.
- In Suffolk, a larger share of residents have a bachelor's degree or higher at 21.0% 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.