Demographics details for Maryville, MO vs Tuscaloosa, AL
Population Overview
Compare main population characteristics in Maryville, MO vs Tuscaloosa, AL.
| Data | Maryville | Tuscaloosa |
|---|---|---|
| Population | 10,461 | 110,602 |
| Median Age | 25.0 years | 28.8 years |
| Median Income | $49,144 | $47,257 |
| Married Families | 28.0% | 26.0% |
| Poverty Level | 15% | 21% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Maryville vs Tuscaloosa
- The population in Tuscaloosa is higher at 110,602, compared to 10,461 in Maryville.
- The median age in Tuscaloosa is higher at 28.8 years, compared to 25.0 years in Maryville.
- Maryville has a higher median income of $49,144 compared to $47,257 in Tuscaloosa.
- A higher percentage of married families is found in Maryville at 28.0% compared to 26.0% in Tuscaloosa.
- The poverty level is higher in Tuscaloosa at 21%, compared to 15% in Maryville.
- The unemployment rate is the same in both Maryville and Tuscaloosa at 3.5%.
Demographics
Demographics Maryville vs Tuscaloosa provide insight into the diversity of the communities to compare.
| Demographic | Maryville | Tuscaloosa |
|---|---|---|
| Black | 4 | 41 |
| White | 89 | 49 |
| Asian | 2 | 3 |
| Hispanic | 3 | 4 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Maryville vs Tuscaloosa
- In Tuscaloosa, the percentage of Black residents is higher at 41% compared to 4% in Maryville.
- Maryville has a higher percentage of White residents at 89% compared to 49% in Tuscaloosa.
- In Tuscaloosa, the Asian population stands at 3%, greater than 2% in Maryville.
- Tuscaloosa has a higher percentage of Hispanic residents at 4%, compared to 3% in Maryville.
- The percentage of residents identifying as two or more races is higher in Tuscaloosa at 3%, compared to 2% in Maryville.
- The percentage of American Indian residents is the same in both Maryville and Tuscaloosa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Maryville | Tuscaloosa |
|---|---|---|
| Mental Health Not Good | 18.1% | 19.5% |
| Physical Health Not Good | 13.2% | 13.6% |
| Depression | 23.8% | 21.9% |
| Smoking | 20.1% | 19.6% |
| Binge Drinking | 17.9% | 14.4% |
| Obesity | 40.4% | 44.5% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Maryville vs Tuscaloosa
- In Tuscaloosa, a higher percentage report poor mental health at 19.5% compared to 18.1% in Maryville.
- Depression is more prevalent in Maryville at 23.8% compared to 21.9% in Tuscaloosa.
- Smoking is more prevalent in Maryville at 20.1% compared to 19.6% in Tuscaloosa.
- Binge drinking is more common in Maryville at 17.9% compared to 14.4% in Tuscaloosa.
- Tuscaloosa has higher obesity rates at 44.5% compared to 40.4% in Maryville.
- Disability percentages are higher in Maryville at 11.0% 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 | Maryville | Tuscaloosa |
|---|---|---|
| No Schooling | 0.1% (15) | 0.7% (721) |
| High School Diploma | 14.1% (1,471) | 12.5% (13,878) |
| Less than High School | 5.0% (522) | 6.1% (6,781) |
| Bachelor's Degree and Higher | 16.7% (1,743) | 20.3% (22,425) |
Education Levels Comparison: Maryville vs Tuscaloosa
- In Tuscaloosa, a larger percentage of residents lack formal schooling at 0.7% compared to 0.1% in Maryville.
- A higher percentage of residents in Maryville hold a high school diploma at 14.1% compared to 12.5% in Tuscaloosa.
- The percentage of residents with less than a high school education is higher in Tuscaloosa at 6.1%, compared to 5.0% in Maryville.
- In Tuscaloosa, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 16.7% in Maryville.
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.