Demographics details for Springfield, OR vs Bethlehem, PA
Population Overview
Compare main population characteristics in Springfield, OR vs Bethlehem, PA.
Data | Springfield | Bethlehem |
---|---|---|
Population | 61,400 | 77,617 |
Median Age | 37.3 years | 35.9 years |
Median Income | $60,982 | $62,072 |
Married Families | 36.0% | 29.0% |
Poverty Level | 10% | 13% |
Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Springfield vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 61,400 in Springfield.
- Residents in Springfield have a higher median age of 37.3 years compared to 35.9 years in Bethlehem.
- Bethlehem has a higher median income of $62,072, compared to $60,982 in Springfield.
- A higher percentage of married families is found in Springfield at 36.0% compared to 29.0% in Bethlehem.
- The poverty level is higher in Bethlehem at 13%, compared to 10% in Springfield.
- The unemployment rate in Springfield is higher at 4.1%, compared to 3.5% in Bethlehem.
Demographics
Demographics Springfield vs Bethlehem provide insight into the diversity of the communities to compare.
Demographic | Springfield | Bethlehem |
---|---|---|
Black | 1 | 9 |
White | 73 | 47 |
Asian | 2 | 3 |
Hispanic | 14 | 30 |
Two or More Races | 9 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Springfield vs Bethlehem
- In Bethlehem, the percentage of Black residents is higher at 9% compared to 1% in Springfield.
- Springfield has a higher percentage of White residents at 73% compared to 47% in Bethlehem.
- In Bethlehem, the Asian population stands at 3%, greater than 2% in Springfield.
- Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 14% in Springfield.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 9% in Springfield.
- A greater percentage of American Indian residents live in Springfield at 1% compared to 0% in Bethlehem.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Springfield | Bethlehem |
---|---|---|
Mental Health Not Good | 19.8% | 16.9% |
Physical Health Not Good | 13.3% | 12.1% |
Depression | 28.9% | 21.8% |
Smoking | 16.8% | 18.4% |
Binge Drinking | 16.9% | 17.6% |
Obesity | 36.4% | 34.7% |
Disability Percentage | 20.0% | 13.0% |
Health Statistics Comparison: Springfield vs Bethlehem
- More residents in Springfield report poor mental health at 19.8% compared to 16.9% in Bethlehem.
- Depression is more prevalent in Springfield at 28.9% compared to 21.8% in Bethlehem.
- Bethlehem has a higher smoking rate at 18.4% compared to 16.8% in Springfield.
- More residents engage in binge drinking in Bethlehem at 17.6% compared to 16.9% in Springfield.
- Obesity rates are higher in Springfield at 36.4% compared to 34.7% in Bethlehem.
- Disability percentages are higher in Springfield at 20.0% compared to 13.0% in Bethlehem.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Springfield | Bethlehem |
---|---|---|
No Schooling | 0.9% (528) | 0.6% (452) |
High School Diploma | 14.9% (9,128) | 16.9% (13,125) |
Less than High School | 14.4% (8,821) | 12.9% (10,045) |
Bachelor's Degree and Higher | 14.2% (8,749) | 22.0% (17,044) |
Education Levels Comparison: Springfield vs Bethlehem
- A higher percentage of residents in Springfield have no formal schooling at 0.9% compared to 0.6% in Bethlehem.
- In Bethlehem, the rate of residents with high school diplomas is higher at 16.9% compared to 14.9% in Springfield.
- More residents in Springfield have less than a high school education at 14.4% compared to 12.9% in Bethlehem.
- In Bethlehem, a larger share of residents have a bachelor's degree or higher at 22.0% compared to 14.2% in Springfield.
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.