Demographics details for Tuscaloosa, AL vs Englewood, OH
Population Overview
Compare main population characteristics in Tuscaloosa, AL vs Englewood, OH.
Data | Tuscaloosa | Englewood |
---|---|---|
Population | 110,602 | 13,301 |
Median Age | 28.8 years | 43.1 years |
Median Income | $47,257 | $67,769 |
Married Families | 26.0% | 40.0% |
Poverty Level | 21% | 5% |
Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Tuscaloosa vs Englewood
- In Tuscaloosa, the population is higher at 110,602, compared to 13,301 in Englewood.
- The median age in Englewood is higher at 43.1 years, compared to 28.8 years in Tuscaloosa.
- Englewood has a higher median income of $67,769, compared to $47,257 in Tuscaloosa.
- In Englewood, the percentage of married families is higher at 40.0%, compared to 26.0% in Tuscaloosa.
- Tuscaloosa has a higher poverty level at 21% compared to 5% in Englewood.
- Englewood has a higher unemployment rate at 3.6% compared to 3.5% in Tuscaloosa.
Demographics
Demographics Tuscaloosa vs Englewood provide insight into the diversity of the communities to compare.
Demographic | Tuscaloosa | Englewood |
---|---|---|
Black | 41 | 16 |
White | 49 | 76 |
Asian | 3 | 1 |
Hispanic | 4 | 1 |
Two or More Races | 3 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Tuscaloosa vs Englewood
- A higher percentage of Black residents are in Tuscaloosa at 41% compared to 16% in Englewood.
- The percentage of White residents is higher in Englewood at 76% compared to 49% in Tuscaloosa.
- The Asian population is larger in Tuscaloosa at 3% compared to 1% in Englewood.
- The Hispanic community is larger in Tuscaloosa at 4% compared to 1% in Englewood.
- The percentage of residents identifying as two or more races is higher in Englewood at 6%, compared to 3% in Tuscaloosa.
- The percentage of American Indian residents is the same in both Tuscaloosa and Englewood at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tuscaloosa | Englewood |
---|---|---|
Mental Health Not Good | 19.5% | 17.7% |
Physical Health Not Good | 13.6% | 11.0% |
Depression | 21.9% | 25.5% |
Smoking | 19.6% | 16.8% |
Binge Drinking | 14.4% | 18.8% |
Obesity | 44.5% | 37.9% |
Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: Tuscaloosa vs Englewood
- More residents in Tuscaloosa report poor mental health at 19.5% compared to 17.7% in Englewood.
- Higher depression rates are seen in Englewood at 25.5% versus 21.9% in Tuscaloosa.
- Smoking is more prevalent in Tuscaloosa at 19.6% compared to 16.8% in Englewood.
- More residents engage in binge drinking in Englewood at 18.8% compared to 14.4% in Tuscaloosa.
- Obesity rates are higher in Tuscaloosa at 44.5% compared to 37.9% in Englewood.
- There is a higher percentage of disabled individuals in Englewood at 13.0% 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 | Tuscaloosa | Englewood |
---|---|---|
No Schooling | 0.7% (721) | 0.2% (22) |
High School Diploma | 12.5% (13,878) | 17.4% (2,316) |
Less than High School | 6.1% (6,781) | 2.3% (303) |
Bachelor's Degree and Higher | 20.3% (22,425) | 21.4% (2,846) |
Education Levels Comparison: Tuscaloosa vs Englewood
- A higher percentage of residents in Tuscaloosa have no formal schooling at 0.7% compared to 0.2% in Englewood.
- In Englewood, the rate of residents with high school diplomas is higher at 17.4% compared to 12.5% in Tuscaloosa.
- More residents in Tuscaloosa have less than a high school education at 6.1% compared to 2.3% in Englewood.
- In Englewood, a larger share of residents have a bachelor's degree or higher at 21.4% 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.