Demographics details for Palm bay, FL vs Tuscaloosa, AL
Population Overview
Compare main population characteristics in Palm bay, FL vs Tuscaloosa, AL.
| Data | Palm bay | Tuscaloosa |
|---|---|---|
| Population | 129,234 | 110,602 |
| Median Age | 41.8 years | 28.8 years |
| Median Income | $62,538 | $47,257 |
| Married Families | 37.0% | 26.0% |
| Poverty Level | 10% | 21% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Palm bay vs Tuscaloosa
- In Palm bay, the population is higher at 129,234, compared to 110,602 in Tuscaloosa.
- Residents in Palm bay have a higher median age of 41.8 years compared to 28.8 years in Tuscaloosa.
- Palm bay has a higher median income of $62,538 compared to $47,257 in Tuscaloosa.
- A higher percentage of married families is found in Palm bay at 37.0% compared to 26.0% in Tuscaloosa.
- The poverty level is higher in Tuscaloosa at 21%, compared to 10% in Palm bay.
- The unemployment rate in Palm bay is higher at 4.0%, compared to 3.5% in Tuscaloosa.
Demographics
Demographics Palm bay vs Tuscaloosa provide insight into the diversity of the communities to compare.
| Demographic | Palm bay | Tuscaloosa |
|---|---|---|
| Black | 18 | 41 |
| White | 51 | 49 |
| Asian | 2 | 3 |
| Hispanic | 17 | 4 |
| Two or More Races | 12 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Palm bay vs Tuscaloosa
- In Tuscaloosa, the percentage of Black residents is higher at 41% compared to 18% in Palm bay.
- Palm bay has a higher percentage of White residents at 51% compared to 49% in Tuscaloosa.
- In Tuscaloosa, the Asian population stands at 3%, greater than 2% in Palm bay.
- The Hispanic community is larger in Palm bay at 17% compared to 4% in Tuscaloosa.
- More residents identify as two or more races in Palm bay at 12% compared to 3% in Tuscaloosa.
- The percentage of American Indian residents is the same in both Palm bay and Tuscaloosa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palm bay | Tuscaloosa |
|---|---|---|
| Mental Health Not Good | 16.8% | 19.5% |
| Physical Health Not Good | 11.5% | 13.6% |
| Depression | 20.3% | 21.9% |
| Smoking | 19.6% | 19.6% |
| Binge Drinking | 15.8% | 14.4% |
| Obesity | 34.9% | 44.5% |
| Disability Percentage | 16.0% | 9.0% |
Health Statistics Comparison: Palm bay vs Tuscaloosa
- In Tuscaloosa, a higher percentage report poor mental health at 19.5% compared to 16.8% in Palm bay.
- Higher depression rates are seen in Tuscaloosa at 21.9% versus 20.3% in Palm bay.
- Smoking rates are the same in both Palm bay and Tuscaloosa at 19.6%.
- Binge drinking is more common in Palm bay at 15.8% compared to 14.4% in Tuscaloosa.
- Tuscaloosa has higher obesity rates at 44.5% compared to 34.9% in Palm bay.
- Disability percentages are higher in Palm bay at 16.0% compared to 9.0% in Tuscaloosa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Palm bay | Tuscaloosa |
|---|---|---|
| No Schooling | 0.9% (1,215) | 0.7% (721) |
| High School Diploma | 17.2% (22,173) | 12.5% (13,878) |
| Less than High School | 11.5% (14,805) | 6.1% (6,781) |
| Bachelor's Degree and Higher | 14.6% (18,880) | 20.3% (22,425) |
Education Levels Comparison: Palm bay vs Tuscaloosa
- A higher percentage of residents in Palm bay have no formal schooling at 0.9% compared to 0.7% in Tuscaloosa.
- A higher percentage of residents in Palm bay hold a high school diploma at 17.2% compared to 12.5% in Tuscaloosa.
- More residents in Palm bay have less than a high school education at 11.5% compared to 6.1% in Tuscaloosa.
- In Tuscaloosa, a larger share of residents have a bachelor's degree or higher at 20.3% 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.