Demographics details for San angelo, TX vs Tuscaloosa, AL
Population Overview
Compare main population characteristics in San angelo, TX vs Tuscaloosa, AL.
| Data | San angelo | Tuscaloosa |
|---|---|---|
| Population | 99,112 | 110,602 |
| Median Age | 34.7 years | 28.8 years |
| Median Income | $65,040 | $47,257 |
| Married Families | 37.0% | 26.0% |
| Poverty Level | 13% | 21% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: San angelo vs Tuscaloosa
- The population in Tuscaloosa is higher at 110,602, compared to 99,112 in San angelo.
- Residents in San angelo have a higher median age of 34.7 years compared to 28.8 years in Tuscaloosa.
- San angelo has a higher median income of $65,040 compared to $47,257 in Tuscaloosa.
- A higher percentage of married families is found in San angelo at 37.0% compared to 26.0% in Tuscaloosa.
- The poverty level is higher in Tuscaloosa at 21%, compared to 13% in San angelo.
- The unemployment rate in San angelo is higher at 4.1%, compared to 3.5% in Tuscaloosa.
Demographics
Demographics San angelo vs Tuscaloosa provide insight into the diversity of the communities to compare.
| Demographic | San angelo | Tuscaloosa |
|---|---|---|
| Black | 5 | 41 |
| White | 33 | 49 |
| Asian | 1 | 3 |
| Hispanic | 44 | 4 |
| Two or More Races | 16 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: San angelo vs Tuscaloosa
- In Tuscaloosa, the percentage of Black residents is higher at 41% compared to 5% in San angelo.
- The percentage of White residents is higher in Tuscaloosa at 49% compared to 33% in San angelo.
- In Tuscaloosa, the Asian population stands at 3%, greater than 1% in San angelo.
- The Hispanic community is larger in San angelo at 44% compared to 4% in Tuscaloosa.
- More residents identify as two or more races in San angelo at 16% compared to 3% in Tuscaloosa.
- A greater percentage of American Indian residents live in San angelo at 1% compared to 0% in Tuscaloosa.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | San angelo | Tuscaloosa |
|---|---|---|
| Mental Health Not Good | 17.2% | 19.5% |
| Physical Health Not Good | 12.0% | 13.6% |
| Depression | 23.9% | 21.9% |
| Smoking | 16.3% | 19.6% |
| Binge Drinking | 18.3% | 14.4% |
| Obesity | 37.8% | 44.5% |
| Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: San angelo vs Tuscaloosa
- In Tuscaloosa, a higher percentage report poor mental health at 19.5% compared to 17.2% in San angelo.
- Depression is more prevalent in San angelo at 23.9% compared to 21.9% in Tuscaloosa.
- Tuscaloosa has a higher smoking rate at 19.6% compared to 16.3% in San angelo.
- Binge drinking is more common in San angelo at 18.3% compared to 14.4% in Tuscaloosa.
- Tuscaloosa has higher obesity rates at 44.5% compared to 37.8% in San angelo.
- Disability percentages are higher in San angelo 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 | San angelo | Tuscaloosa |
|---|---|---|
| No Schooling | 1.5% (1,444) | 0.7% (721) |
| High School Diploma | 14.0% (13,867) | 12.5% (13,878) |
| Less than High School | 17.7% (17,520) | 6.1% (6,781) |
| Bachelor's Degree and Higher | 15.8% (15,619) | 20.3% (22,425) |
Education Levels Comparison: San angelo vs Tuscaloosa
- A higher percentage of residents in San angelo have no formal schooling at 1.5% compared to 0.7% in Tuscaloosa.
- A higher percentage of residents in San angelo hold a high school diploma at 14.0% compared to 12.5% in Tuscaloosa.
- More residents in San angelo have less than a high school education at 17.7% 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 15.8% in San angelo.
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.