Demographics details for Bethlehem, PA vs Garfield, WA
Population Overview
Compare main population characteristics in Bethlehem, PA vs Garfield, WA.
| Data | Bethlehem | Garfield |
|---|---|---|
| Population | 77,617 | 2,363 |
| Median Age | 35.9 years | 49.9 years |
| Median Income | $62,072 | $57,958 |
| Married Families | 29.0% | 57.0% |
| Poverty Level | 13% | Data is updating |
| Unemployment Rate | 3.5 | 4.4 |
Population Comparison: Bethlehem vs Garfield
- In Bethlehem, the population is higher at 77,617, compared to 2,363 in Garfield.
- The median age in Garfield is higher at 49.9 years, compared to 35.9 years in Bethlehem.
- Bethlehem has a higher median income of $62,072 compared to $57,958 in Garfield.
- In Garfield, the percentage of married families is higher at 57.0%, compared to 29.0% in Bethlehem.
- Bethlehem has a higher poverty level at 13% compared to 0% in Garfield.
- Garfield has a higher unemployment rate at 4.4% compared to 3.5% in Bethlehem.
Demographics
Demographics Bethlehem vs Garfield provide insight into the diversity of the communities to compare.
| Demographic | Bethlehem | Garfield |
|---|---|---|
| Black | 9 | 1 |
| White | 47 | 88 |
| Asian | 3 | 1 |
| Hispanic | 30 | 4 |
| Two or More Races | 11 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bethlehem vs Garfield
- A higher percentage of Black residents are in Bethlehem at 9% compared to 1% in Garfield.
- The percentage of White residents is higher in Garfield at 88% compared to 47% in Bethlehem.
- The Asian population is larger in Bethlehem at 3% compared to 1% in Garfield.
- The Hispanic community is larger in Bethlehem at 30% compared to 4% in Garfield.
- More residents identify as two or more races in Bethlehem at 11% compared to 6% in Garfield.
- The percentage of American Indian residents is the same in both Bethlehem and Garfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bethlehem | Garfield |
|---|---|---|
| Mental Health Not Good | 16.9% | 17.2% |
| Physical Health Not Good | 12.1% | 11.0% |
| Depression | 21.8% | 28.7% |
| Smoking | 18.4% | 14.6% |
| Binge Drinking | 17.6% | 18.2% |
| Obesity | 34.7% | 40.3% |
| Disability Percentage | 13.0% | 23.0% |
Health Statistics Comparison: Bethlehem vs Garfield
- In Garfield, a higher percentage report poor mental health at 17.2% compared to 16.9% in Bethlehem.
- Higher depression rates are seen in Garfield at 28.7% versus 21.8% in Bethlehem.
- Smoking is more prevalent in Bethlehem at 18.4% compared to 14.6% in Garfield.
- More residents engage in binge drinking in Garfield at 18.2% compared to 17.6% in Bethlehem.
- Garfield has higher obesity rates at 40.3% compared to 34.7% in Bethlehem.
- There is a higher percentage of disabled individuals in Garfield at 23.0% 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 | Bethlehem | Garfield |
|---|---|---|
| No Schooling | 0.6% (452) | 0.0% (Data is updating) |
| High School Diploma | 16.9% (13,125) | 15.7% (371) |
| Less than High School | 12.9% (10,045) | 10.2% (242) |
| Bachelor's Degree and Higher | 22.0% (17,044) | 19.4% (458) |
Education Levels Comparison: Bethlehem vs Garfield
- A higher percentage of residents in Bethlehem have no formal schooling at 0.6% compared to 0.0% in Garfield.
- A higher percentage of residents in Bethlehem hold a high school diploma at 16.9% compared to 15.7% in Garfield.
- More residents in Bethlehem have less than a high school education at 12.9% compared to 10.2% in Garfield.
- A higher percentage of residents in Bethlehem hold a bachelor's degree or higher at 22.0% compared to 19.4% in Garfield.
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.