Demographics details for Bethlehem, PA vs Roberts, MT
Population Overview
Compare main population characteristics in Bethlehem, PA vs Roberts, MT.
| Data | Bethlehem | Roberts |
|---|---|---|
| Population | 77,617 | 281 |
| Median Age | 35.9 years | 39.5 years |
| Median Income | $62,072 | $76,688 |
| Married Families | 29.0% | 31.0% |
| Poverty Level | 13% | 9% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Bethlehem vs Roberts
- In Bethlehem, the population is higher at 77,617, compared to 281 in Roberts.
- The median age in Roberts is higher at 39.5 years, compared to 35.9 years in Bethlehem.
- Roberts has a higher median income of $76,688, compared to $62,072 in Bethlehem.
- In Roberts, the percentage of married families is higher at 31.0%, compared to 29.0% in Bethlehem.
- Bethlehem has a higher poverty level at 13% compared to 9% in Roberts.
- The unemployment rate in Bethlehem is higher at 3.5%, compared to 3.2% in Roberts.
Demographics
Demographics Bethlehem vs Roberts provide insight into the diversity of the communities to compare.
| Demographic | Bethlehem | Roberts |
|---|---|---|
| Black | 9 | Data is updating |
| White | 47 | 92 |
| Asian | 3 | Data is updating |
| Hispanic | 30 | Data is updating |
| Two or More Races | 11 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bethlehem vs Roberts
- A higher percentage of Black residents are in Bethlehem at 9% compared to 0% in Roberts.
- The percentage of White residents is higher in Roberts at 92% compared to 47% in Bethlehem.
- The Asian population is larger in Bethlehem at 3% compared to 0% in Roberts.
- The Hispanic community is larger in Bethlehem at 30% compared to 0% in Roberts.
- More residents identify as two or more races in Bethlehem at 11% compared to 8% in Roberts.
- The percentage of American Indian residents is the same in both Bethlehem and Roberts at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bethlehem | Roberts |
|---|---|---|
| Mental Health Not Good | 16.9% | 14.7% |
| Physical Health Not Good | 12.1% | 9.2% |
| Depression | 21.8% | 23.0% |
| Smoking | 18.4% | 13.9% |
| Binge Drinking | 17.6% | 23.3% |
| Obesity | 34.7% | 29.4% |
| Disability Percentage | 13.0% | 23.0% |
Health Statistics Comparison: Bethlehem vs Roberts
- More residents in Bethlehem report poor mental health at 16.9% compared to 14.7% in Roberts.
- Higher depression rates are seen in Roberts at 23.0% versus 21.8% in Bethlehem.
- Smoking is more prevalent in Bethlehem at 18.4% compared to 13.9% in Roberts.
- More residents engage in binge drinking in Roberts at 23.3% compared to 17.6% in Bethlehem.
- Obesity rates are higher in Bethlehem at 34.7% compared to 29.4% in Roberts.
- There is a higher percentage of disabled individuals in Roberts at 23.0% 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 | Bethlehem | Roberts |
|---|---|---|
| No Schooling | 0.6% (452) | 0.0% (Data is updating) |
| High School Diploma | 16.9% (13,125) | 12.8% (36) |
| Less than High School | 12.9% (10,045) | 15.7% (44) |
| Bachelor's Degree and Higher | 22.0% (17,044) | 19.9% (56) |
Education Levels Comparison: Bethlehem vs Roberts
- A higher percentage of residents in Bethlehem have no formal schooling at 0.6% compared to 0.0% in Roberts.
- A higher percentage of residents in Bethlehem hold a high school diploma at 16.9% compared to 12.8% in Roberts.
- The percentage of residents with less than a high school education is higher in Roberts at 15.7%, compared to 12.9% in Bethlehem.
- A higher percentage of residents in Bethlehem hold a bachelor's degree or higher at 22.0% compared to 19.9% in Roberts.
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.