Demographics details for Addison, IL vs Bethlehem, PA
Population Overview
Compare main population characteristics in Addison, IL vs Bethlehem, PA.
| Data | Addison | Bethlehem |
|---|---|---|
| Population | 35,127 | 77,617 |
| Median Age | 40.1 years | 35.9 years |
| Median Income | $82,547 | $62,072 |
| Married Families | 43.0% | 29.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 5.6 | 3.5 |
Population Comparison: Addison vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 35,127 in Addison.
- Residents in Addison have a higher median age of 40.1 years compared to 35.9 years in Bethlehem.
- Addison has a higher median income of $82,547 compared to $62,072 in Bethlehem.
- A higher percentage of married families is found in Addison at 43.0% compared to 29.0% in Bethlehem.
- The poverty level is higher in Bethlehem at 13%, compared to 5% in Addison.
- The unemployment rate in Addison is higher at 5.6%, compared to 3.5% in Bethlehem.
Demographics
Demographics Addison vs Bethlehem provide insight into the diversity of the communities to compare.
| Demographic | Addison | Bethlehem |
|---|---|---|
| Black | 4 | 9 |
| White | 32 | 47 |
| Asian | 9 | 3 |
| Hispanic | 42 | 30 |
| Two or More Races | 12 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Addison vs Bethlehem
- In Bethlehem, the percentage of Black residents is higher at 9% compared to 4% in Addison.
- The percentage of White residents is higher in Bethlehem at 47% compared to 32% in Addison.
- The Asian population is larger in Addison at 9% compared to 3% in Bethlehem.
- The Hispanic community is larger in Addison at 42% compared to 30% in Bethlehem.
- More residents identify as two or more races in Addison at 12% compared to 11% in Bethlehem.
- A greater percentage of American Indian residents live in Addison at 1% compared to 0% in Bethlehem.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Addison | Bethlehem |
|---|---|---|
| Mental Health Not Good | 14.2% | 16.9% |
| Physical Health Not Good | 10.8% | 12.1% |
| Depression | 17.7% | 21.8% |
| Smoking | 14.9% | 18.4% |
| Binge Drinking | 15.5% | 17.6% |
| Obesity | 35.0% | 34.7% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Addison vs Bethlehem
- In Bethlehem, a higher percentage report poor mental health at 16.9% compared to 14.2% in Addison.
- Higher depression rates are seen in Bethlehem at 21.8% versus 17.7% in Addison.
- Bethlehem has a higher smoking rate at 18.4% compared to 14.9% in Addison.
- More residents engage in binge drinking in Bethlehem at 17.6% compared to 15.5% in Addison.
- Obesity rates are higher in Addison at 35.0% compared to 34.7% in Bethlehem.
- There is a higher percentage of disabled individuals in Bethlehem at 13.0% compared to 10.0% in Addison.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Addison | Bethlehem |
|---|---|---|
| No Schooling | 2.1% (744) | 0.6% (452) |
| High School Diploma | 19.0% (6,671) | 16.9% (13,125) |
| Less than High School | 27.2% (9,554) | 12.9% (10,045) |
| Bachelor's Degree and Higher | 17.1% (6,014) | 22.0% (17,044) |
Education Levels Comparison: Addison vs Bethlehem
- A higher percentage of residents in Addison have no formal schooling at 2.1% compared to 0.6% in Bethlehem.
- A higher percentage of residents in Addison hold a high school diploma at 19.0% compared to 16.9% in Bethlehem.
- More residents in Addison have less than a high school education at 27.2% compared to 12.9% in Bethlehem.
- In Bethlehem, a larger share of residents have a bachelor's degree or higher at 22.0% compared to 17.1% in Addison.
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.