Demographics details for Bethlehem, PA vs Union city, GA
Population Overview
Compare main population characteristics in Bethlehem, PA vs Union city, GA.
Data | Bethlehem | Union city |
---|---|---|
Population | 77,617 | 27,895 |
Median Age | 35.9 years | 32.7 years |
Median Income | $62,072 | $46,696 |
Married Families | 29.0% | 17.0% |
Poverty Level | 13% | 16% |
Unemployment Rate | 3.5 | 6.1 |
Population Comparison: Bethlehem vs Union city
- In Bethlehem, the population is higher at 77,617, compared to 27,895 in Union city.
- Residents in Bethlehem have a higher median age of 35.9 years compared to 32.7 years in Union city.
- Bethlehem has a higher median income of $62,072 compared to $46,696 in Union city.
- A higher percentage of married families is found in Bethlehem at 29.0% compared to 17.0% in Union city.
- The poverty level is higher in Union city at 16%, compared to 13% in Bethlehem.
- Union city has a higher unemployment rate at 6.1% compared to 3.5% in Bethlehem.
Demographics
Demographics Bethlehem vs Union city provide insight into the diversity of the communities to compare.
Demographic | Bethlehem | Union city |
---|---|---|
Black | 9 | 85 |
White | 47 | 6 |
Asian | 3 | Data is updating |
Hispanic | 30 | 5 |
Two or More Races | 11 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Bethlehem vs Union city
- In Union city, the percentage of Black residents is higher at 85% compared to 9% in Bethlehem.
- Bethlehem has a higher percentage of White residents at 47% compared to 6% in Union city.
- The Asian population is larger in Bethlehem at 3% compared to 0% in Union city.
- The Hispanic community is larger in Bethlehem at 30% compared to 5% in Union city.
- More residents identify as two or more races in Bethlehem at 11% compared to 4% in Union city.
- The percentage of American Indian residents is the same in both Bethlehem and Union city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bethlehem | Union city |
---|---|---|
Mental Health Not Good | 16.9% | 16.7% |
Physical Health Not Good | 12.1% | 12.2% |
Depression | 21.8% | 17.2% |
Smoking | 18.4% | 18.0% |
Binge Drinking | 17.6% | 13.5% |
Obesity | 34.7% | 36.6% |
Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Bethlehem vs Union city
- More residents in Bethlehem report poor mental health at 16.9% compared to 16.7% in Union city.
- Depression is more prevalent in Bethlehem at 21.8% compared to 17.2% in Union city.
- Smoking is more prevalent in Bethlehem at 18.4% compared to 18.0% in Union city.
- Binge drinking is more common in Bethlehem at 17.6% compared to 13.5% in Union city.
- Union city has higher obesity rates at 36.6% compared to 34.7% in Bethlehem.
- Disability percentages are higher in Bethlehem at 13.0% compared to 12.0% in Union city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bethlehem | Union city |
---|---|---|
No Schooling | 0.6% (452) | 0.5% (129) |
High School Diploma | 16.9% (13,125) | 13.2% (3,681) |
Less than High School | 12.9% (10,045) | 7.8% (2,166) |
Bachelor's Degree and Higher | 22.0% (17,044) | 17.3% (4,828) |
Education Levels Comparison: Bethlehem vs Union city
- A higher percentage of residents in Bethlehem have no formal schooling at 0.6% compared to 0.5% in Union city.
- A higher percentage of residents in Bethlehem hold a high school diploma at 16.9% compared to 13.2% in Union city.
- More residents in Bethlehem have less than a high school education at 12.9% compared to 7.8% in Union city.
- A higher percentage of residents in Bethlehem hold a bachelor's degree or higher at 22.0% compared to 17.3% in Union city.
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.