Demographics details for Baltimore, MD vs Mount pocono, PA
Population Overview
Compare main population characteristics in Baltimore, MD vs Mount pocono, PA.
| Data | Baltimore | Mount pocono |
|---|---|---|
| Population | 569,931 | 3,071 |
| Median Age | 36.0 years | 38.5 years |
| Median Income | $58,349 | $81,127 |
| Married Families | 23.0% | 30.0% |
| Poverty Level | 16% | 10% |
| Unemployment Rate | 4.3 | 4.8 |
Population Comparison: Baltimore vs Mount pocono
- In Baltimore, the population is higher at 569,931, compared to 3,071 in Mount pocono.
- The median age in Mount pocono is higher at 38.5 years, compared to 36.0 years in Baltimore.
- Mount pocono has a higher median income of $81,127, compared to $58,349 in Baltimore.
- In Mount pocono, the percentage of married families is higher at 30.0%, compared to 23.0% in Baltimore.
- Baltimore has a higher poverty level at 16% compared to 10% in Mount pocono.
- Mount pocono has a higher unemployment rate at 4.8% compared to 4.3% in Baltimore.
Demographics
Demographics Baltimore vs Mount pocono provide insight into the diversity of the communities to compare.
| Demographic | Baltimore | Mount pocono |
|---|---|---|
| Black | 63 | 16 |
| White | 23 | 41 |
| Asian | 3 | 6 |
| Hispanic | 6 | 33 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Baltimore vs Mount pocono
- A higher percentage of Black residents are in Baltimore at 63% compared to 16% in Mount pocono.
- The percentage of White residents is higher in Mount pocono at 41% compared to 23% in Baltimore.
- In Mount pocono, the Asian population stands at 6%, greater than 3% in Baltimore.
- Mount pocono has a higher percentage of Hispanic residents at 33%, compared to 6% in Baltimore.
- More residents identify as two or more races in Baltimore at 5% compared to 4% in Mount pocono.
- The percentage of American Indian residents is the same in both Baltimore and Mount pocono at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baltimore | Mount pocono |
|---|---|---|
| Mental Health Not Good | 17.9% | 16.1% |
| Physical Health Not Good | 12.3% | 11.8% |
| Depression | 20.2% | 20.1% |
| Smoking | 19.8% | 18.1% |
| Binge Drinking | 15.4% | 16.1% |
| Obesity | 37.1% | 34.3% |
| Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Baltimore vs Mount pocono
- More residents in Baltimore report poor mental health at 17.9% compared to 16.1% in Mount pocono.
- Depression is more prevalent in Baltimore at 20.2% compared to 20.1% in Mount pocono.
- Smoking is more prevalent in Baltimore at 19.8% compared to 18.1% in Mount pocono.
- More residents engage in binge drinking in Mount pocono at 16.1% compared to 15.4% in Baltimore.
- Obesity rates are higher in Baltimore at 37.1% compared to 34.3% in Mount pocono.
- Disability percentages are higher in Baltimore at 16.0% compared to 13.0% in Mount pocono.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Baltimore | Mount pocono |
|---|---|---|
| No Schooling | 1.2% (6,683) | 3.2% (98) |
| High School Diploma | 16.8% (95,744) | 27.4% (842) |
| Less than High School | 11.9% (67,970) | 18.1% (555) |
| Bachelor's Degree and Higher | 25.1% (143,174) | 15.9% (488) |
Education Levels Comparison: Baltimore vs Mount pocono
- In Mount pocono, a larger percentage of residents lack formal schooling at 3.2% compared to 1.2% in Baltimore.
- In Mount pocono, the rate of residents with high school diplomas is higher at 27.4% compared to 16.8% in Baltimore.
- The percentage of residents with less than a high school education is higher in Mount pocono at 18.1%, compared to 11.9% in Baltimore.
- A higher percentage of residents in Baltimore hold a bachelor's degree or higher at 25.1% compared to 15.9% in Mount pocono.
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.