Demographics details for Rochester, NH vs Bethlehem, PA
Population Overview
Compare main population characteristics in Rochester, NH vs Bethlehem, PA.
| Data | Rochester | Bethlehem |
|---|---|---|
| Population | 33,169 | 77,617 |
| Median Age | 43.3 years | 35.9 years |
| Median Income | $74,882 | $62,072 |
| Married Families | 39.0% | 29.0% |
| Poverty Level | 7% | 13% |
| Unemployment Rate | 2.3 | 3.5 |
Population Comparison: Rochester vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 33,169 in Rochester.
- Residents in Rochester have a higher median age of 43.3 years compared to 35.9 years in Bethlehem.
- Rochester has a higher median income of $74,882 compared to $62,072 in Bethlehem.
- A higher percentage of married families is found in Rochester at 39.0% compared to 29.0% in Bethlehem.
- The poverty level is higher in Bethlehem at 13%, compared to 7% in Rochester.
- Bethlehem has a higher unemployment rate at 3.5% compared to 2.3% in Rochester.
Demographics
Demographics Rochester vs Bethlehem provide insight into the diversity of the communities to compare.
| Demographic | Rochester | Bethlehem |
|---|---|---|
| Black | 1 | 9 |
| White | 92 | 47 |
| Asian | 1 | 3 |
| Hispanic | 2 | 30 |
| Two or More Races | 4 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rochester vs Bethlehem
- In Bethlehem, the percentage of Black residents is higher at 9% compared to 1% in Rochester.
- Rochester has a higher percentage of White residents at 92% compared to 47% in Bethlehem.
- In Bethlehem, the Asian population stands at 3%, greater than 1% in Rochester.
- Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 2% in Rochester.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 4% in Rochester.
- The percentage of American Indian residents is the same in both Rochester and Bethlehem at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rochester | Bethlehem |
|---|---|---|
| Mental Health Not Good | 17.3% | 16.9% |
| Physical Health Not Good | 11.2% | 12.1% |
| Depression | 26.9% | 21.8% |
| Smoking | 17.0% | 18.4% |
| Binge Drinking | 18.3% | 17.6% |
| Obesity | 34.3% | 34.7% |
| Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Rochester vs Bethlehem
- More residents in Rochester report poor mental health at 17.3% compared to 16.9% in Bethlehem.
- Depression is more prevalent in Rochester at 26.9% compared to 21.8% in Bethlehem.
- Bethlehem has a higher smoking rate at 18.4% compared to 17.0% in Rochester.
- Binge drinking is more common in Rochester at 18.3% compared to 17.6% in Bethlehem.
- Bethlehem has higher obesity rates at 34.7% compared to 34.3% in Rochester.
- Disability percentages are higher in Rochester at 16.0% 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 | Rochester | Bethlehem |
|---|---|---|
| No Schooling | 0.6% (205) | 0.6% (452) |
| High School Diploma | 18.9% (6,274) | 16.9% (13,125) |
| Less than High School | 10.4% (3,451) | 12.9% (10,045) |
| Bachelor's Degree and Higher | 18.6% (6,185) | 22.0% (17,044) |
Education Levels Comparison: Rochester vs Bethlehem
- The percentage of residents with no formal schooling is the same in both Rochester and Bethlehem at 0.6%.
- A higher percentage of residents in Rochester hold a high school diploma at 18.9% compared to 16.9% in Bethlehem.
- The percentage of residents with less than a high school education is higher in Bethlehem at 12.9%, compared to 10.4% in Rochester.
- In Bethlehem, a larger share of residents have a bachelor's degree or higher at 22.0% compared to 18.6% in Rochester.
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.