Demographics details for Freeland, MI vs Bethlehem, PA
Population Overview
Compare main population characteristics in Freeland, MI vs Bethlehem, PA.
Data | Freeland | Bethlehem |
---|---|---|
Population | 7,357 | 77,617 |
Median Age | 37.4 years | 35.9 years |
Median Income | $95,478 | $62,072 |
Married Families | 39.0% | 29.0% |
Poverty Level | 4% | 13% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Freeland vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 7,357 in Freeland.
- Residents in Freeland have a higher median age of 37.4 years compared to 35.9 years in Bethlehem.
- Freeland has a higher median income of $95,478 compared to $62,072 in Bethlehem.
- A higher percentage of married families is found in Freeland at 39.0% compared to 29.0% in Bethlehem.
- The poverty level is higher in Bethlehem at 13%, compared to 4% in Freeland.
- The unemployment rate is the same in both Freeland and Bethlehem at 3.5%.
Demographics
Demographics Freeland vs Bethlehem provide insight into the diversity of the communities to compare.
Demographic | Freeland | Bethlehem |
---|---|---|
Black | 9 | 9 |
White | 76 | 47 |
Asian | 1 | 3 |
Hispanic | 5 | 30 |
Two or More Races | 8 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Freeland vs Bethlehem
- The percentage of Black residents is the same in both Freeland and Bethlehem at 9%.
- Freeland has a higher percentage of White residents at 76% compared to 47% in Bethlehem.
- In Bethlehem, the Asian population stands at 3%, greater than 1% in Freeland.
- Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 5% in Freeland.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 8% in Freeland.
- A greater percentage of American Indian residents live in Freeland at 1% compared to 0% in Bethlehem.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Freeland | Bethlehem |
---|---|---|
Mental Health Not Good | 14.5% | 16.9% |
Physical Health Not Good | 9.1% | 12.1% |
Depression | 20.4% | 21.8% |
Smoking | 14.2% | 18.4% |
Binge Drinking | 20.3% | 17.6% |
Obesity | 37.8% | 34.7% |
Disability Percentage | 4.0% | 13.0% |
Health Statistics Comparison: Freeland vs Bethlehem
- In Bethlehem, a higher percentage report poor mental health at 16.9% compared to 14.5% in Freeland.
- Higher depression rates are seen in Bethlehem at 21.8% versus 20.4% in Freeland.
- Bethlehem has a higher smoking rate at 18.4% compared to 14.2% in Freeland.
- Binge drinking is more common in Freeland at 20.3% compared to 17.6% in Bethlehem.
- Obesity rates are higher in Freeland at 37.8% compared to 34.7% in Bethlehem.
- There is a higher percentage of disabled individuals in Bethlehem at 13.0% compared to 4.0% in Freeland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Freeland | Bethlehem |
---|---|---|
No Schooling | 0.7% (51) | 0.6% (452) |
High School Diploma | 13.8% (1,014) | 16.9% (13,125) |
Less than High School | 7.4% (542) | 12.9% (10,045) |
Bachelor's Degree and Higher | 21.8% (1,605) | 22.0% (17,044) |
Education Levels Comparison: Freeland vs Bethlehem
- A higher percentage of residents in Freeland have no formal schooling at 0.7% compared to 0.6% in Bethlehem.
- In Bethlehem, the rate of residents with high school diplomas is higher at 16.9% compared to 13.8% in Freeland.
- The percentage of residents with less than a high school education is higher in Bethlehem at 12.9%, compared to 7.4% in Freeland.
- In Bethlehem, a larger share of residents have a bachelor's degree or higher at 22.0% compared to 21.8% in Freeland.
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.