Demographics details for Albert, ok vs Bethlehem, PA
Population Overview
Compare main population characteristics in Albert, ok vs Bethlehem, PA.
Data | Albert | Bethlehem |
---|---|---|
Population | 230 | 77,617 |
Median Age | 35.0 years | 35.9 years |
Median Income | $60,000 | $62,072 |
Married Families | 50.0% | 29.0% |
Poverty Level | 10% | 13% |
Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Albert vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 230 in Albert.
- The median age in Bethlehem is higher at 35.9 years, compared to 35.0 years in Albert.
- Bethlehem has a higher median income of $62,072, compared to $60,000 in Albert.
- A higher percentage of married families is found in Albert at 50.0% compared to 29.0% in Bethlehem.
- The poverty level is higher in Bethlehem at 13%, compared to 10% in Albert.
- The unemployment rate in Albert is higher at 5.0%, compared to 3.5% in Bethlehem.
Demographics
Demographics Albert vs Bethlehem provide insight into the diversity of the communities to compare.
Demographic | Albert | Bethlehem |
---|---|---|
Black | 5 | 9 |
White | 85 | 47 |
Asian | 5 | 3 |
Hispanic | 5 | 30 |
Two or More Races | Data is updating | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Albert vs Bethlehem
- In Bethlehem, the percentage of Black residents is higher at 9% compared to 5% in Albert.
- Albert has a higher percentage of White residents at 85% compared to 47% in Bethlehem.
- The Asian population is larger in Albert at 5% compared to 3% in Bethlehem.
- Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 5% in Albert.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 0% in Albert.
- The percentage of American Indian residents is the same in both Albert and Bethlehem at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Albert | Bethlehem |
---|---|---|
Mental Health Not Good | Data is updating% | 16.9% |
Physical Health Not Good | Data is updating% | 12.1% |
Depression | Data is updating% | 21.8% |
Smoking | Data is updating% | 18.4% |
Binge Drinking | Data is updating% | 17.6% |
Obesity | Data is updating% | 34.7% |
Disability Percentage | Data is updating% | 13.0% |
Health Statistics Comparison: Albert vs Bethlehem
- In Bethlehem, a higher percentage report poor mental health at 16.9% compared to 0.0% in Albert.
- Higher depression rates are seen in Bethlehem at 21.8% versus 0.0% in Albert.
- Bethlehem has a higher smoking rate at 18.4% compared to 0.0% in Albert.
- More residents engage in binge drinking in Bethlehem at 17.6% compared to 0.0% in Albert.
- Bethlehem has higher obesity rates at 34.7% compared to 0.0% in Albert.
- There is a higher percentage of disabled individuals in Bethlehem at 13.0% compared to 0.0% in Albert.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Albert | Bethlehem |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.6% (452) |
High School Diploma | 0.0% (Data is updating) | 16.9% (13,125) |
Less than High School | 0.0% (Data is updating) | 12.9% (10,045) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 22.0% (17,044) |
Education Levels Comparison: Albert vs Bethlehem
- In Bethlehem, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Albert.
- In Bethlehem, the rate of residents with high school diplomas is higher at 16.9% compared to 0.0% in Albert.
- The percentage of residents with less than a high school education is higher in Bethlehem at 12.9%, compared to 0.0% in Albert.
- In Bethlehem, a larger share of residents have a bachelor's degree or higher at 22.0% compared to 0.0% in Albert.
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.