Demographics details for Bethlehem, PA vs Mukilteo, WA
Population Overview
Compare main population characteristics in Bethlehem, PA vs Mukilteo, WA.
| Data | Bethlehem | Mukilteo |
|---|---|---|
| Population | 77,617 | 21,096 |
| Median Age | 35.9 years | 43.6 years |
| Median Income | $62,072 | $123,036 |
| Married Families | 29.0% | 48.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Bethlehem vs Mukilteo
- In Bethlehem, the population is higher at 77,617, compared to 21,096 in Mukilteo.
- The median age in Mukilteo is higher at 43.6 years, compared to 35.9 years in Bethlehem.
- Mukilteo has a higher median income of $123,036, compared to $62,072 in Bethlehem.
- In Mukilteo, the percentage of married families is higher at 48.0%, compared to 29.0% in Bethlehem.
- Bethlehem has a higher poverty level at 13% compared to 5% in Mukilteo.
- The unemployment rate in Bethlehem is higher at 3.5%, compared to 3.2% in Mukilteo.
Demographics
Demographics Bethlehem vs Mukilteo provide insight into the diversity of the communities to compare.
| Demographic | Bethlehem | Mukilteo |
|---|---|---|
| Black | 9 | 1 |
| White | 47 | 61 |
| Asian | 3 | 21 |
| Hispanic | 30 | 6 |
| Two or More Races | 11 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bethlehem vs Mukilteo
- A higher percentage of Black residents are in Bethlehem at 9% compared to 1% in Mukilteo.
- The percentage of White residents is higher in Mukilteo at 61% compared to 47% in Bethlehem.
- In Mukilteo, the Asian population stands at 21%, greater than 3% in Bethlehem.
- The Hispanic community is larger in Bethlehem at 30% compared to 6% in Mukilteo.
- Both Bethlehem and Mukilteo have the same percentage of residents identifying as two or more races at 11%.
- The percentage of American Indian residents is the same in both Bethlehem and Mukilteo at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bethlehem | Mukilteo |
|---|---|---|
| Mental Health Not Good | 16.9% | 14.6% |
| Physical Health Not Good | 12.1% | 8.9% |
| Depression | 21.8% | 26.5% |
| Smoking | 18.4% | 9.3% |
| Binge Drinking | 17.6% | 15.7% |
| Obesity | 34.7% | 29.2% |
| Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Bethlehem vs Mukilteo
- More residents in Bethlehem report poor mental health at 16.9% compared to 14.6% in Mukilteo.
- Higher depression rates are seen in Mukilteo at 26.5% versus 21.8% in Bethlehem.
- Smoking is more prevalent in Bethlehem at 18.4% compared to 9.3% in Mukilteo.
- Binge drinking is more common in Bethlehem at 17.6% compared to 15.7% in Mukilteo.
- Obesity rates are higher in Bethlehem at 34.7% compared to 29.2% in Mukilteo.
- Disability percentages are higher in Bethlehem at 13.0% compared to 10.0% in Mukilteo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bethlehem | Mukilteo |
|---|---|---|
| No Schooling | 0.6% (452) | 0.1% (24) |
| High School Diploma | 16.9% (13,125) | 9.7% (2,042) |
| Less than High School | 12.9% (10,045) | 2.0% (414) |
| Bachelor's Degree and Higher | 22.0% (17,044) | 38.3% (8,089) |
Education Levels Comparison: Bethlehem vs Mukilteo
- A higher percentage of residents in Bethlehem have no formal schooling at 0.6% compared to 0.1% in Mukilteo.
- A higher percentage of residents in Bethlehem hold a high school diploma at 16.9% compared to 9.7% in Mukilteo.
- More residents in Bethlehem have less than a high school education at 12.9% compared to 2.0% in Mukilteo.
- In Mukilteo, a larger share of residents have a bachelor's degree or higher at 38.3% 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.