Demographics details for Bentleyville, PA vs Baltimore, MD
Population Overview
Compare main population characteristics in Bentleyville, PA vs Baltimore, MD.
| Data | Bentleyville | Baltimore |
|---|---|---|
| Population | 2,331 | 569,931 |
| Median Age | 36.8 years | 36.0 years |
| Median Income | $53,152 | $58,349 |
| Married Families | 32.0% | 23.0% |
| Poverty Level | 12% | 16% |
| Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Bentleyville vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 2,331 in Bentleyville.
- Residents in Bentleyville have a higher median age of 36.8 years compared to 36.0 years in Baltimore.
- Baltimore has a higher median income of $58,349, compared to $53,152 in Bentleyville.
- A higher percentage of married families is found in Bentleyville at 32.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 12% in Bentleyville.
- Baltimore has a higher unemployment rate at 4.3% compared to 3.5% in Bentleyville.
Demographics
Demographics Bentleyville vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Bentleyville | Baltimore |
|---|---|---|
| Black | 2 | 63 |
| White | 88 | 23 |
| Asian | Data is updating | 3 |
| Hispanic | 4 | 6 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bentleyville vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 2% in Bentleyville.
- Bentleyville has a higher percentage of White residents at 88% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 0% in Bentleyville.
- Baltimore has a higher percentage of Hispanic residents at 6%, compared to 4% in Bentleyville.
- More residents identify as two or more races in Bentleyville at 6% compared to 5% in Baltimore.
- The percentage of American Indian residents is the same in both Bentleyville and Baltimore at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bentleyville | Baltimore |
|---|---|---|
| Mental Health Not Good | 18.3% | 17.9% |
| Physical Health Not Good | 12.9% | 12.3% |
| Depression | 23.9% | 20.2% |
| Smoking | 22.5% | 19.8% |
| Binge Drinking | 17.7% | 15.4% |
| Obesity | 37.1% | 37.1% |
| Disability Percentage | 24.0% | 16.0% |
Health Statistics Comparison: Bentleyville vs Baltimore
- More residents in Bentleyville report poor mental health at 18.3% compared to 17.9% in Baltimore.
- Depression is more prevalent in Bentleyville at 23.9% compared to 20.2% in Baltimore.
- Smoking is more prevalent in Bentleyville at 22.5% compared to 19.8% in Baltimore.
- Binge drinking is more common in Bentleyville at 17.7% compared to 15.4% in Baltimore.
- Both cities have the same obesity rates at 37.1%.
- Disability percentages are higher in Bentleyville at 24.0% compared to 16.0% in Baltimore.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bentleyville | Baltimore |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.2% (6,683) |
| High School Diploma | 24.8% (577) | 16.8% (95,744) |
| Less than High School | 16.4% (383) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 12.4% (288) | 25.1% (143,174) |
Education Levels Comparison: Bentleyville vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Bentleyville.
- A higher percentage of residents in Bentleyville hold a high school diploma at 24.8% compared to 16.8% in Baltimore.
- More residents in Bentleyville have less than a high school education at 16.4% compared to 11.9% in Baltimore.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 12.4% in Bentleyville.
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.