Demographics details for Albert lea, MN vs Saxton, PA
Population Overview
Compare main population characteristics in Albert lea, MN vs Saxton, PA.
| Data | Albert lea | Saxton |
|---|---|---|
| Population | 18,396 | 715 |
| Median Age | 44.2 years | 43.9 years |
| Median Income | $56,347 | $36,250 |
| Married Families | 35.0% | 27.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.0 | 4.0 |
Population Comparison: Albert lea vs Saxton
- In Albert lea, the population is higher at 18,396, compared to 715 in Saxton.
- Residents in Albert lea have a higher median age of 44.2 years compared to 43.9 years in Saxton.
- Albert lea has a higher median income of $56,347 compared to $36,250 in Saxton.
- A higher percentage of married families is found in Albert lea at 35.0% compared to 27.0% in Saxton.
- The poverty level is higher in Saxton at 12%, compared to 10% in Albert lea.
- The unemployment rate is the same in both Albert lea and Saxton at 4.0%.
Demographics
Demographics Albert lea vs Saxton provide insight into the diversity of the communities to compare.
| Demographic | Albert lea | Saxton |
|---|---|---|
| Black | 2 | 3 |
| White | 72 | 96 |
| Asian | 3 | Data is updating |
| Hispanic | 15 | Data is updating |
| Two or More Races | 8 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Albert lea vs Saxton
- In Saxton, the percentage of Black residents is higher at 3% compared to 2% in Albert lea.
- The percentage of White residents is higher in Saxton at 96% compared to 72% in Albert lea.
- The Asian population is larger in Albert lea at 3% compared to 0% in Saxton.
- The Hispanic community is larger in Albert lea at 15% compared to 0% in Saxton.
- More residents identify as two or more races in Albert lea at 8% compared to 1% in Saxton.
- The percentage of American Indian residents is the same in both Albert lea and Saxton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Albert lea | Saxton |
|---|---|---|
| Mental Health Not Good | 16.6% | 18.4% |
| Physical Health Not Good | 11.3% | 12.7% |
| Depression | 24.2% | 25.0% |
| Smoking | 22.1% | 21.8% |
| Binge Drinking | 18.3% | 18.4% |
| Obesity | 38.0% | 37.0% |
| Disability Percentage | 13.0% | 24.0% |
Health Statistics Comparison: Albert lea vs Saxton
- In Saxton, a higher percentage report poor mental health at 18.4% compared to 16.6% in Albert lea.
- Higher depression rates are seen in Saxton at 25.0% versus 24.2% in Albert lea.
- Smoking is more prevalent in Albert lea at 22.1% compared to 21.8% in Saxton.
- More residents engage in binge drinking in Saxton at 18.4% compared to 18.3% in Albert lea.
- Obesity rates are higher in Albert lea at 38.0% compared to 37.0% in Saxton.
- There is a higher percentage of disabled individuals in Saxton at 24.0% compared to 13.0% in Albert lea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Albert lea | Saxton |
|---|---|---|
| No Schooling | 2.0% (370) | 0.0% (Data is updating) |
| High School Diploma | 19.7% (3,624) | 31.0% (222) |
| Less than High School | 20.0% (3,680) | 12.3% (88) |
| Bachelor's Degree and Higher | 11.3% (2,086) | 13.3% (95) |
Education Levels Comparison: Albert lea vs Saxton
- A higher percentage of residents in Albert lea have no formal schooling at 2.0% compared to 0.0% in Saxton.
- In Saxton, the rate of residents with high school diplomas is higher at 31.0% compared to 19.7% in Albert lea.
- More residents in Albert lea have less than a high school education at 20.0% compared to 12.3% in Saxton.
- In Saxton, a larger share of residents have a bachelor's degree or higher at 13.3% compared to 11.3% in Albert lea.
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.