Demographics details for Mason, OH vs Bethlehem, PA
Population Overview
Compare main population characteristics in Mason, OH vs Bethlehem, PA.
| Data | Mason | Bethlehem |
|---|---|---|
| Population | 35,520 | 77,617 |
| Median Age | 41.7 years | 35.9 years |
| Median Income | $121,082 | $62,072 |
| Married Families | 47.0% | 29.0% |
| Poverty Level | 4% | 13% |
| Unemployment Rate | 4.8 | 3.5 |
Population Comparison: Mason vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 35,520 in Mason.
- Residents in Mason have a higher median age of 41.7 years compared to 35.9 years in Bethlehem.
- Mason has a higher median income of $121,082 compared to $62,072 in Bethlehem.
- A higher percentage of married families is found in Mason at 47.0% compared to 29.0% in Bethlehem.
- The poverty level is higher in Bethlehem at 13%, compared to 4% in Mason.
- The unemployment rate in Mason is higher at 4.8%, compared to 3.5% in Bethlehem.
Demographics
Demographics Mason vs Bethlehem provide insight into the diversity of the communities to compare.
| Demographic | Mason | Bethlehem |
|---|---|---|
| Black | 5 | 9 |
| White | 74 | 47 |
| Asian | 14 | 3 |
| Hispanic | 3 | 30 |
| Two or More Races | 4 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mason vs Bethlehem
- In Bethlehem, the percentage of Black residents is higher at 9% compared to 5% in Mason.
- Mason has a higher percentage of White residents at 74% compared to 47% in Bethlehem.
- The Asian population is larger in Mason at 14% compared to 3% in Bethlehem.
- Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 3% in Mason.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 4% in Mason.
- The percentage of American Indian residents is the same in both Mason and Bethlehem at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mason | Bethlehem |
|---|---|---|
| Mental Health Not Good | 13.5% | 16.9% |
| Physical Health Not Good | 8.0% | 12.1% |
| Depression | 19.8% | 21.8% |
| Smoking | 11.8% | 18.4% |
| Binge Drinking | 19.1% | 17.6% |
| Obesity | 33.5% | 34.7% |
| Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Mason vs Bethlehem
- In Bethlehem, a higher percentage report poor mental health at 16.9% compared to 13.5% in Mason.
- Higher depression rates are seen in Bethlehem at 21.8% versus 19.8% in Mason.
- Bethlehem has a higher smoking rate at 18.4% compared to 11.8% in Mason.
- Binge drinking is more common in Mason at 19.1% compared to 17.6% in Bethlehem.
- Bethlehem has higher obesity rates at 34.7% compared to 33.5% in Mason.
- There is a higher percentage of disabled individuals in Bethlehem at 13.0% compared to 8.0% in Mason.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mason | Bethlehem |
|---|---|---|
| No Schooling | 0.5% (183) | 0.6% (452) |
| High School Diploma | 8.9% (3,151) | 16.9% (13,125) |
| Less than High School | 3.0% (1,071) | 12.9% (10,045) |
| Bachelor's Degree and Higher | 40.7% (14,469) | 22.0% (17,044) |
Education Levels Comparison: Mason vs Bethlehem
- In Bethlehem, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Mason.
- In Bethlehem, the rate of residents with high school diplomas is higher at 16.9% compared to 8.9% in Mason.
- The percentage of residents with less than a high school education is higher in Bethlehem at 12.9%, compared to 3.0% in Mason.
- A higher percentage of residents in Mason hold a bachelor's degree or higher at 40.7% compared to 22.0% in Bethlehem.
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.