Demographics details for Tuscaloosa, AL vs Sabin, MN
Population Overview
Compare main population characteristics in Tuscaloosa, AL vs Sabin, MN.
| Data | Tuscaloosa | Sabin |
|---|---|---|
| Population | 110,602 | 610 |
| Median Age | 28.8 years | 33.3 years |
| Median Income | $47,257 | $118,750 |
| Married Families | 26.0% | 50.0% |
| Poverty Level | 21% | Data is updating |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Tuscaloosa vs Sabin
- In Tuscaloosa, the population is higher at 110,602, compared to 610 in Sabin.
- The median age in Sabin is higher at 33.3 years, compared to 28.8 years in Tuscaloosa.
- Sabin has a higher median income of $118,750, compared to $47,257 in Tuscaloosa.
- In Sabin, the percentage of married families is higher at 50.0%, compared to 26.0% in Tuscaloosa.
- Tuscaloosa has a higher poverty level at 21% compared to 0% in Sabin.
- The unemployment rate in Tuscaloosa is higher at 3.5%, compared to 2.5% in Sabin.
Demographics
Demographics Tuscaloosa vs Sabin provide insight into the diversity of the communities to compare.
| Demographic | Tuscaloosa | Sabin |
|---|---|---|
| Black | 41 | Data is updating |
| White | 49 | 82 |
| Asian | 3 | 1 |
| Hispanic | 4 | 3 |
| Two or More Races | 3 | 8 |
| American Indian | Data is updating | 6 |
Demographics Comparison: Tuscaloosa vs Sabin
- A higher percentage of Black residents are in Tuscaloosa at 41% compared to 0% in Sabin.
- The percentage of White residents is higher in Sabin at 82% compared to 49% in Tuscaloosa.
- The Asian population is larger in Tuscaloosa at 3% compared to 1% in Sabin.
- The Hispanic community is larger in Tuscaloosa at 4% compared to 3% in Sabin.
- The percentage of residents identifying as two or more races is higher in Sabin at 8%, compared to 3% in Tuscaloosa.
- In Sabin, the percentage of American Indian residents is higher at 6%, compared to 0% in Tuscaloosa.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tuscaloosa | Sabin |
|---|---|---|
| Mental Health Not Good | 19.5% | 14.2% |
| Physical Health Not Good | 13.6% | 8.4% |
| Depression | 21.9% | 25.3% |
| Smoking | 19.6% | 15.3% |
| Binge Drinking | 14.4% | 20.6% |
| Obesity | 44.5% | 33.7% |
| Disability Percentage | 9.0% | 5.0% |
Health Statistics Comparison: Tuscaloosa vs Sabin
- More residents in Tuscaloosa report poor mental health at 19.5% compared to 14.2% in Sabin.
- Higher depression rates are seen in Sabin at 25.3% versus 21.9% in Tuscaloosa.
- Smoking is more prevalent in Tuscaloosa at 19.6% compared to 15.3% in Sabin.
- More residents engage in binge drinking in Sabin at 20.6% compared to 14.4% in Tuscaloosa.
- Obesity rates are higher in Tuscaloosa at 44.5% compared to 33.7% in Sabin.
- Disability percentages are higher in Tuscaloosa at 9.0% compared to 5.0% in Sabin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tuscaloosa | Sabin |
|---|---|---|
| No Schooling | 0.7% (721) | 0.2% (1) |
| High School Diploma | 12.5% (13,878) | 14.1% (86) |
| Less than High School | 6.1% (6,781) | 3.6% (22) |
| Bachelor's Degree and Higher | 20.3% (22,425) | 17.9% (109) |
Education Levels Comparison: Tuscaloosa vs Sabin
- A higher percentage of residents in Tuscaloosa have no formal schooling at 0.7% compared to 0.2% in Sabin.
- In Sabin, the rate of residents with high school diplomas is higher at 14.1% compared to 12.5% in Tuscaloosa.
- More residents in Tuscaloosa have less than a high school education at 6.1% compared to 3.6% in Sabin.
- A higher percentage of residents in Tuscaloosa hold a bachelor's degree or higher at 20.3% compared to 17.9% in Sabin.
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.