Demographics details for Palm bay, FL vs Suffolk, VA
Population Overview
Compare main population characteristics in Palm bay, FL vs Suffolk, VA.
| Data | Palm bay | Suffolk |
|---|---|---|
| Population | 129,234 | 98,537 |
| Median Age | 41.8 years | 38.5 years |
| Median Income | $62,538 | $87,758 |
| Married Families | 37.0% | 40.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 4.0 | 3.2 |
Population Comparison: Palm bay vs Suffolk
- In Palm bay, the population is higher at 129,234, compared to 98,537 in Suffolk.
- Residents in Palm bay have a higher median age of 41.8 years compared to 38.5 years in Suffolk.
- Suffolk has a higher median income of $87,758, compared to $62,538 in Palm bay.
- In Suffolk, the percentage of married families is higher at 40.0%, compared to 37.0% in Palm bay.
- Palm bay has a higher poverty level at 10% compared to 7% in Suffolk.
- The unemployment rate in Palm bay is higher at 4.0%, compared to 3.2% in Suffolk.
Demographics
Demographics Palm bay vs Suffolk provide insight into the diversity of the communities to compare.
| Demographic | Palm bay | Suffolk |
|---|---|---|
| Black | 18 | 40 |
| White | 51 | 47 |
| Asian | 2 | 2 |
| Hispanic | 17 | 5 |
| Two or More Races | 12 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Palm bay vs Suffolk
- In Suffolk, the percentage of Black residents is higher at 40% compared to 18% in Palm bay.
- Palm bay has a higher percentage of White residents at 51% compared to 47% in Suffolk.
- Both Palm bay and Suffolk have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Palm bay at 17% compared to 5% in Suffolk.
- More residents identify as two or more races in Palm bay at 12% compared to 6% in Suffolk.
- The percentage of American Indian residents is the same in both Palm bay and Suffolk at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palm bay | Suffolk |
|---|---|---|
| Mental Health Not Good | 16.8% | 16.6% |
| Physical Health Not Good | 11.5% | 10.6% |
| Depression | 20.3% | 21.4% |
| Smoking | 19.6% | 15.3% |
| Binge Drinking | 15.8% | 16.6% |
| Obesity | 34.9% | 42.4% |
| Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Palm bay vs Suffolk
- More residents in Palm bay report poor mental health at 16.8% compared to 16.6% in Suffolk.
- Higher depression rates are seen in Suffolk at 21.4% versus 20.3% in Palm bay.
- Smoking is more prevalent in Palm bay at 19.6% compared to 15.3% in Suffolk.
- More residents engage in binge drinking in Suffolk at 16.6% compared to 15.8% in Palm bay.
- Suffolk has higher obesity rates at 42.4% compared to 34.9% in Palm bay.
- Disability percentages are higher in Palm bay at 16.0% 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 | Palm bay | Suffolk |
|---|---|---|
| No Schooling | 0.9% (1,215) | 1.0% (965) |
| High School Diploma | 17.2% (22,173) | 14.9% (14,643) |
| Less than High School | 11.5% (14,805) | 7.8% (7,701) |
| Bachelor's Degree and Higher | 14.6% (18,880) | 21.0% (20,740) |
Education Levels Comparison: Palm bay vs Suffolk
- In Suffolk, a larger percentage of residents lack formal schooling at 1.0% compared to 0.9% in Palm bay.
- A higher percentage of residents in Palm bay hold a high school diploma at 17.2% compared to 14.9% in Suffolk.
- More residents in Palm bay have less than a high school education at 11.5% 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 14.6% in Palm bay.
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.