Demographics details for Bethlehem, PA vs Blue springs, MO
Population Overview
Compare main population characteristics in Bethlehem, PA vs Blue springs, MO.
| Data | Bethlehem | Blue springs |
|---|---|---|
| Population | 77,617 | 59,518 |
| Median Age | 35.9 years | 36.6 years |
| Median Income | $62,072 | $82,965 |
| Married Families | 29.0% | 42.0% |
| Poverty Level | 13% | 9% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Bethlehem vs Blue springs
- In Bethlehem, the population is higher at 77,617, compared to 59,518 in Blue springs.
- The median age in Blue springs is higher at 36.6 years, compared to 35.9 years in Bethlehem.
- Blue springs has a higher median income of $82,965, compared to $62,072 in Bethlehem.
- In Blue springs, the percentage of married families is higher at 42.0%, compared to 29.0% in Bethlehem.
- Bethlehem has a higher poverty level at 13% compared to 9% in Blue springs.
- Blue springs has a higher unemployment rate at 3.7% compared to 3.5% in Bethlehem.
Demographics
Demographics Bethlehem vs Blue springs provide insight into the diversity of the communities to compare.
| Demographic | Bethlehem | Blue springs |
|---|---|---|
| Black | 9 | 7 |
| White | 47 | 79 |
| Asian | 3 | 1 |
| Hispanic | 30 | 7 |
| Two or More Races | 11 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bethlehem vs Blue springs
- A higher percentage of Black residents are in Bethlehem at 9% compared to 7% in Blue springs.
- The percentage of White residents is higher in Blue springs at 79% compared to 47% in Bethlehem.
- The Asian population is larger in Bethlehem at 3% compared to 1% in Blue springs.
- The Hispanic community is larger in Bethlehem at 30% compared to 7% in Blue springs.
- More residents identify as two or more races in Bethlehem at 11% compared to 6% in Blue springs.
- The percentage of American Indian residents is the same in both Bethlehem and Blue springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bethlehem | Blue springs |
|---|---|---|
| Mental Health Not Good | 16.9% | 17.3% |
| Physical Health Not Good | 12.1% | 10.4% |
| Depression | 21.8% | 22.8% |
| Smoking | 18.4% | 15.6% |
| Binge Drinking | 17.6% | 21.5% |
| Obesity | 34.7% | 34.7% |
| Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Bethlehem vs Blue springs
- In Blue springs, a higher percentage report poor mental health at 17.3% compared to 16.9% in Bethlehem.
- Higher depression rates are seen in Blue springs at 22.8% versus 21.8% in Bethlehem.
- Smoking is more prevalent in Bethlehem at 18.4% compared to 15.6% in Blue springs.
- More residents engage in binge drinking in Blue springs at 21.5% compared to 17.6% in Bethlehem.
- Both cities have the same obesity rates at 34.7%.
- Disability percentages are higher in Bethlehem at 13.0% compared to 10.0% in Blue springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bethlehem | Blue springs |
|---|---|---|
| No Schooling | 0.6% (452) | 0.3% (178) |
| High School Diploma | 16.9% (13,125) | 16.5% (9,835) |
| Less than High School | 12.9% (10,045) | 4.9% (2,932) |
| Bachelor's Degree and Higher | 22.0% (17,044) | 21.8% (12,992) |
Education Levels Comparison: Bethlehem vs Blue springs
- A higher percentage of residents in Bethlehem have no formal schooling at 0.6% compared to 0.3% in Blue springs.
- A higher percentage of residents in Bethlehem hold a high school diploma at 16.9% compared to 16.5% in Blue springs.
- More residents in Bethlehem have less than a high school education at 12.9% compared to 4.9% in Blue springs.
- A higher percentage of residents in Bethlehem hold a bachelor's degree or higher at 22.0% compared to 21.8% in Blue springs.
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.