Demographics details for Palm city, FL vs Tuscaloosa, AL
Population Overview
Compare main population characteristics in Palm city, FL vs Tuscaloosa, AL.
Data | Palm city | Tuscaloosa |
---|---|---|
Population | 25,957 | 110,602 |
Median Age | 51.0 years | 28.8 years |
Median Income | $111,394 | $47,257 |
Married Families | 53.0% | 26.0% |
Poverty Level | 5% | 21% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Palm city vs Tuscaloosa
- The population in Tuscaloosa is higher at 110,602, compared to 25,957 in Palm city.
- Residents in Palm city have a higher median age of 51.0 years compared to 28.8 years in Tuscaloosa.
- Palm city has a higher median income of $111,394 compared to $47,257 in Tuscaloosa.
- A higher percentage of married families is found in Palm city at 53.0% compared to 26.0% in Tuscaloosa.
- The poverty level is higher in Tuscaloosa at 21%, compared to 5% in Palm city.
- The unemployment rate is the same in both Palm city and Tuscaloosa at 3.5%.
Demographics
Demographics Palm city vs Tuscaloosa provide insight into the diversity of the communities to compare.
Demographic | Palm city | Tuscaloosa |
---|---|---|
Black | 1 | 41 |
White | 82 | 49 |
Asian | 3 | 3 |
Hispanic | 8 | 4 |
Two or More Races | 6 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Palm city vs Tuscaloosa
- In Tuscaloosa, the percentage of Black residents is higher at 41% compared to 1% in Palm city.
- Palm city has a higher percentage of White residents at 82% compared to 49% in Tuscaloosa.
- Both Palm city and Tuscaloosa have the same percentage of Asian residents at 3%.
- The Hispanic community is larger in Palm city at 8% compared to 4% in Tuscaloosa.
- More residents identify as two or more races in Palm city at 6% compared to 3% in Tuscaloosa.
- The percentage of American Indian residents is the same in both Palm city and Tuscaloosa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Palm city | Tuscaloosa |
---|---|---|
Mental Health Not Good | 14.4% | 19.5% |
Physical Health Not Good | 8.4% | 13.6% |
Depression | 18.1% | 21.9% |
Smoking | 14.4% | 19.6% |
Binge Drinking | 18.3% | 14.4% |
Obesity | 25.4% | 44.5% |
Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Palm city vs Tuscaloosa
- In Tuscaloosa, a higher percentage report poor mental health at 19.5% compared to 14.4% in Palm city.
- Higher depression rates are seen in Tuscaloosa at 21.9% versus 18.1% in Palm city.
- Tuscaloosa has a higher smoking rate at 19.6% compared to 14.4% in Palm city.
- Binge drinking is more common in Palm city at 18.3% compared to 14.4% in Tuscaloosa.
- Tuscaloosa has higher obesity rates at 44.5% compared to 25.4% in Palm city.
- Disability percentages are higher in Palm city at 10.0% 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 city | Tuscaloosa |
---|---|---|
No Schooling | 0.6% (168) | 0.7% (721) |
High School Diploma | 10.0% (2,593) | 12.5% (13,878) |
Less than High School | 4.2% (1,093) | 6.1% (6,781) |
Bachelor's Degree and Higher | 35.9% (9,330) | 20.3% (22,425) |
Education Levels Comparison: Palm city vs Tuscaloosa
- In Tuscaloosa, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Palm city.
- In Tuscaloosa, the rate of residents with high school diplomas is higher at 12.5% compared to 10.0% in Palm city.
- The percentage of residents with less than a high school education is higher in Tuscaloosa at 6.1%, compared to 4.2% in Palm city.
- A higher percentage of residents in Palm city hold a bachelor's degree or higher at 35.9% compared to 20.3% in Tuscaloosa.
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.