Demographics details for Bethlehem, PA vs Albert lea, MN
Population Overview
Compare main population characteristics in Bethlehem, PA vs Albert lea, MN.
| Data | Bethlehem | Albert lea |
|---|---|---|
| Population | 77,617 | 18,396 |
| Median Age | 35.9 years | 44.2 years |
| Median Income | $62,072 | $56,347 |
| Married Families | 29.0% | 35.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Bethlehem vs Albert lea
- In Bethlehem, the population is higher at 77,617, compared to 18,396 in Albert lea.
- The median age in Albert lea is higher at 44.2 years, compared to 35.9 years in Bethlehem.
- Bethlehem has a higher median income of $62,072 compared to $56,347 in Albert lea.
- In Albert lea, the percentage of married families is higher at 35.0%, compared to 29.0% in Bethlehem.
- Bethlehem has a higher poverty level at 13% compared to 10% in Albert lea.
- Albert lea has a higher unemployment rate at 4.0% compared to 3.5% in Bethlehem.
Demographics
Demographics Bethlehem vs Albert lea provide insight into the diversity of the communities to compare.
| Demographic | Bethlehem | Albert lea |
|---|---|---|
| Black | 9 | 2 |
| White | 47 | 72 |
| Asian | 3 | 3 |
| Hispanic | 30 | 15 |
| Two or More Races | 11 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bethlehem vs Albert lea
- A higher percentage of Black residents are in Bethlehem at 9% compared to 2% in Albert lea.
- The percentage of White residents is higher in Albert lea at 72% compared to 47% in Bethlehem.
- Both Bethlehem and Albert lea have the same percentage of Asian residents at 3%.
- The Hispanic community is larger in Bethlehem at 30% compared to 15% in Albert lea.
- More residents identify as two or more races in Bethlehem at 11% compared to 8% in Albert lea.
- The percentage of American Indian residents is the same in both Bethlehem and Albert lea at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bethlehem | Albert lea |
|---|---|---|
| Mental Health Not Good | 16.9% | 16.6% |
| Physical Health Not Good | 12.1% | 11.3% |
| Depression | 21.8% | 24.2% |
| Smoking | 18.4% | 22.1% |
| Binge Drinking | 17.6% | 18.3% |
| Obesity | 34.7% | 38.0% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Bethlehem vs Albert lea
- More residents in Bethlehem report poor mental health at 16.9% compared to 16.6% in Albert lea.
- Higher depression rates are seen in Albert lea at 24.2% versus 21.8% in Bethlehem.
- Albert lea has a higher smoking rate at 22.1% compared to 18.4% in Bethlehem.
- More residents engage in binge drinking in Albert lea at 18.3% compared to 17.6% in Bethlehem.
- Albert lea has higher obesity rates at 38.0% compared to 34.7% in Bethlehem.
- Disability percentages are the same in both Bethlehem and Albert lea at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bethlehem | Albert lea |
|---|---|---|
| No Schooling | 0.6% (452) | 2.0% (370) |
| High School Diploma | 16.9% (13,125) | 19.7% (3,624) |
| Less than High School | 12.9% (10,045) | 20.0% (3,680) |
| Bachelor's Degree and Higher | 22.0% (17,044) | 11.3% (2,086) |
Education Levels Comparison: Bethlehem vs Albert lea
- In Albert lea, a larger percentage of residents lack formal schooling at 2.0% compared to 0.6% in Bethlehem.
- In Albert lea, the rate of residents with high school diplomas is higher at 19.7% compared to 16.9% in Bethlehem.
- The percentage of residents with less than a high school education is higher in Albert lea at 20.0%, compared to 12.9% in Bethlehem.
- A higher percentage of residents in Bethlehem hold a bachelor's degree or higher at 22.0% 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.