Demographics details for Moran, WY vs Bethlehem, PA
Population Overview
Compare main population characteristics in Moran, WY vs Bethlehem, PA.
Data | Moran | Bethlehem |
---|---|---|
Population | 47 | 77,617 |
Median Age | 47.0 years | 35.9 years |
Median Income | $75,000 | $62,072 |
Married Families | 24.0% | 29.0% |
Poverty Level | Data is updating | 13% |
Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Moran vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 47 in Moran.
- Residents in Moran have a higher median age of 47.0 years compared to 35.9 years in Bethlehem.
- Moran has a higher median income of $75,000 compared to $62,072 in Bethlehem.
- In Bethlehem, the percentage of married families is higher at 29.0%, compared to 24.0% in Moran.
- The poverty level is higher in Bethlehem at 13%, compared to 0% in Moran.
- Bethlehem has a higher unemployment rate at 3.5% compared to 2.5% in Moran.
Demographics
Demographics Moran vs Bethlehem provide insight into the diversity of the communities to compare.
Demographic | Moran | Bethlehem |
---|---|---|
Black | Data is updating | 9 |
White | 98.3 | 47 |
Asian | 1.7 | 3 |
Hispanic | Data is updating | 30 |
Two or More Races | Data is updating | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Moran vs Bethlehem
- In Bethlehem, the percentage of Black residents is higher at 9% compared to 0% in Moran.
- Moran has a higher percentage of White residents at 98.3% compared to 47% in Bethlehem.
- In Bethlehem, the Asian population stands at 3%, greater than 1.7% in Moran.
- Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 0% in Moran.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 0% in Moran.
- The percentage of American Indian residents is the same in both Moran and Bethlehem at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Moran | Bethlehem |
---|---|---|
Mental Health Not Good | Data is updating% | 16.9% |
Physical Health Not Good | Data is updating% | 12.1% |
Depression | Data is updating% | 21.8% |
Smoking | Data is updating% | 18.4% |
Binge Drinking | Data is updating% | 17.6% |
Obesity | Data is updating% | 34.7% |
Disability Percentage | Data is updating% | 13.0% |
Health Statistics Comparison: Moran vs Bethlehem
- In Bethlehem, a higher percentage report poor mental health at 16.9% compared to 0.0% in Moran.
- Higher depression rates are seen in Bethlehem at 21.8% versus 0.0% in Moran.
- Bethlehem has a higher smoking rate at 18.4% compared to 0.0% in Moran.
- More residents engage in binge drinking in Bethlehem at 17.6% compared to 0.0% in Moran.
- Bethlehem has higher obesity rates at 34.7% compared to 0.0% in Moran.
- There is a higher percentage of disabled individuals in Bethlehem at 13.0% compared to 0.0% in Moran.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Moran | Bethlehem |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.6% (452) |
High School Diploma | 0.0% (Data is updating) | 16.9% (13,125) |
Less than High School | 0.0% (Data is updating) | 12.9% (10,045) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 22.0% (17,044) |
Education Levels Comparison: Moran vs Bethlehem
- In Bethlehem, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Moran.
- In Bethlehem, the rate of residents with high school diplomas is higher at 16.9% compared to 0.0% in Moran.
- The percentage of residents with less than a high school education is higher in Bethlehem at 12.9%, compared to 0.0% in Moran.
- In Bethlehem, a larger share of residents have a bachelor's degree or higher at 22.0% compared to 0.0% in Moran.
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.