Demographics details for Paw paw, MI vs Tuscaloosa, AL
Population Overview
Compare main population characteristics in Paw paw, MI vs Tuscaloosa, AL.
| Data | Paw paw | Tuscaloosa |
|---|---|---|
| Population | 3,395 | 110,602 |
| Median Age | 35.4 years | 28.8 years |
| Median Income | $46,516 | $47,257 |
| Married Families | 25.0% | 26.0% |
| Poverty Level | 10% | 21% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Paw paw vs Tuscaloosa
- The population in Tuscaloosa is higher at 110,602, compared to 3,395 in Paw paw.
- Residents in Paw paw have a higher median age of 35.4 years compared to 28.8 years in Tuscaloosa.
- Tuscaloosa has a higher median income of $47,257, compared to $46,516 in Paw paw.
- In Tuscaloosa, the percentage of married families is higher at 26.0%, compared to 25.0% in Paw paw.
- The poverty level is higher in Tuscaloosa at 21%, compared to 10% in Paw paw.
- The unemployment rate is the same in both Paw paw and Tuscaloosa at 3.5%.
Demographics
Demographics Paw paw vs Tuscaloosa provide insight into the diversity of the communities to compare.
| Demographic | Paw paw | Tuscaloosa |
|---|---|---|
| Black | 2 | 41 |
| White | 75 | 49 |
| Asian | 1 | 3 |
| Hispanic | 12 | 4 |
| Two or More Races | 10 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Paw paw vs Tuscaloosa
- In Tuscaloosa, the percentage of Black residents is higher at 41% compared to 2% in Paw paw.
- Paw paw has a higher percentage of White residents at 75% compared to 49% in Tuscaloosa.
- In Tuscaloosa, the Asian population stands at 3%, greater than 1% in Paw paw.
- The Hispanic community is larger in Paw paw at 12% compared to 4% in Tuscaloosa.
- More residents identify as two or more races in Paw paw at 10% compared to 3% in Tuscaloosa.
- The percentage of American Indian residents is the same in both Paw paw and Tuscaloosa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Paw paw | Tuscaloosa |
|---|---|---|
| Mental Health Not Good | 18.1% | 19.5% |
| Physical Health Not Good | 12.0% | 13.6% |
| Depression | 26.2% | 21.9% |
| Smoking | 20.2% | 19.6% |
| Binge Drinking | 18.4% | 14.4% |
| Obesity | 37.1% | 44.5% |
| Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: Paw paw vs Tuscaloosa
- In Tuscaloosa, a higher percentage report poor mental health at 19.5% compared to 18.1% in Paw paw.
- Depression is more prevalent in Paw paw at 26.2% compared to 21.9% in Tuscaloosa.
- Smoking is more prevalent in Paw paw at 20.2% compared to 19.6% in Tuscaloosa.
- Binge drinking is more common in Paw paw at 18.4% compared to 14.4% in Tuscaloosa.
- Tuscaloosa has higher obesity rates at 44.5% compared to 37.1% in Paw paw.
- Disability percentages are higher in Paw paw at 14.0% 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 | Paw paw | Tuscaloosa |
|---|---|---|
| No Schooling | 1.4% (47) | 0.7% (721) |
| High School Diploma | 20.0% (679) | 12.5% (13,878) |
| Less than High School | 10.7% (364) | 6.1% (6,781) |
| Bachelor's Degree and Higher | 7.6% (259) | 20.3% (22,425) |
Education Levels Comparison: Paw paw vs Tuscaloosa
- A higher percentage of residents in Paw paw have no formal schooling at 1.4% compared to 0.7% in Tuscaloosa.
- A higher percentage of residents in Paw paw hold a high school diploma at 20.0% compared to 12.5% in Tuscaloosa.
- More residents in Paw paw have less than a high school education at 10.7% 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 7.6% in Paw paw.
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.