Demographics details for Weaverville, CA vs Bethlehem, PA
Population Overview
Compare main population characteristics in Weaverville, CA vs Bethlehem, PA.
Data | Weaverville | Bethlehem |
---|---|---|
Population | 3,582 | 77,617 |
Median Age | 43.9 years | 35.9 years |
Median Income | $49,539 | $62,072 |
Married Families | 33.0% | 29.0% |
Poverty Level | 9% | 13% |
Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Weaverville vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 3,582 in Weaverville.
- Residents in Weaverville have a higher median age of 43.9 years compared to 35.9 years in Bethlehem.
- Bethlehem has a higher median income of $62,072, compared to $49,539 in Weaverville.
- A higher percentage of married families is found in Weaverville at 33.0% compared to 29.0% in Bethlehem.
- The poverty level is higher in Bethlehem at 13%, compared to 9% in Weaverville.
- The unemployment rate in Weaverville is higher at 5.0%, compared to 3.5% in Bethlehem.
Demographics
Demographics Weaverville vs Bethlehem provide insight into the diversity of the communities to compare.
Demographic | Weaverville | Bethlehem |
---|---|---|
Black | Data is updating | 9 |
White | 80 | 47 |
Asian | 2 | 3 |
Hispanic | 5 | 30 |
Two or More Races | 5 | 11 |
American Indian | 8 | Data is updating |
Demographics Comparison: Weaverville vs Bethlehem
- In Bethlehem, the percentage of Black residents is higher at 9% compared to 0% in Weaverville.
- Weaverville has a higher percentage of White residents at 80% compared to 47% in Bethlehem.
- In Bethlehem, the Asian population stands at 3%, greater than 2% in Weaverville.
- Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 5% in Weaverville.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 5% in Weaverville.
- A greater percentage of American Indian residents live in Weaverville at 8% compared to 0% in Bethlehem.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Weaverville | Bethlehem |
---|---|---|
Mental Health Not Good | 18.9% | 16.9% |
Physical Health Not Good | 12.6% | 12.1% |
Depression | 23.1% | 21.8% |
Smoking | 16.2% | 18.4% |
Binge Drinking | 17.5% | 17.6% |
Obesity | 31.2% | 34.7% |
Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Weaverville vs Bethlehem
- More residents in Weaverville report poor mental health at 18.9% compared to 16.9% in Bethlehem.
- Depression is more prevalent in Weaverville at 23.1% compared to 21.8% in Bethlehem.
- Bethlehem has a higher smoking rate at 18.4% compared to 16.2% in Weaverville.
- More residents engage in binge drinking in Bethlehem at 17.6% compared to 17.5% in Weaverville.
- Bethlehem has higher obesity rates at 34.7% compared to 31.2% in Weaverville.
- Disability percentages are higher in Weaverville at 18.0% 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 | Weaverville | Bethlehem |
---|---|---|
No Schooling | 0.3% (10) | 0.6% (452) |
High School Diploma | 13.3% (477) | 16.9% (13,125) |
Less than High School | 1.8% (64) | 12.9% (10,045) |
Bachelor's Degree and Higher | 18.4% (658) | 22.0% (17,044) |
Education Levels Comparison: Weaverville vs Bethlehem
- In Bethlehem, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Weaverville.
- In Bethlehem, the rate of residents with high school diplomas is higher at 16.9% compared to 13.3% in Weaverville.
- The percentage of residents with less than a high school education is higher in Bethlehem at 12.9%, compared to 1.8% in Weaverville.
- In Bethlehem, a larger share of residents have a bachelor's degree or higher at 22.0% compared to 18.4% in Weaverville.
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.