Demographics details for Pittsburgh, PA vs Monroe, NY
Population Overview
Compare main population characteristics in Pittsburgh, PA vs Monroe, NY.
| Data | Pittsburgh | Monroe |
|---|---|---|
| Population | 302,898 | 39,912 |
| Median Age | 33.5 years | 40.0 years |
| Median Income | $60,187 | $90,000 |
| Married Families | 26.0% | 60.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 3.4 | 4.0 |
Population Comparison: Pittsburgh vs Monroe
- In Pittsburgh, the population is higher at 302,898, compared to 39,912 in Monroe.
- The median age in Monroe is higher at 40.0 years, compared to 33.5 years in Pittsburgh.
- Monroe has a higher median income of $90,000, compared to $60,187 in Pittsburgh.
- In Monroe, the percentage of married families is higher at 60.0%, compared to 26.0% in Pittsburgh.
- Pittsburgh has a higher poverty level at 15% compared to 5% in Monroe.
- Monroe has a higher unemployment rate at 4.0% compared to 3.4% in Pittsburgh.
Demographics
Demographics Pittsburgh vs Monroe provide insight into the diversity of the communities to compare.
| Demographic | Pittsburgh | Monroe |
|---|---|---|
| Black | 23 | 5 |
| White | 62 | 85 |
| Asian | 6 | 5 |
| Hispanic | 4 | 5 |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsburgh vs Monroe
- A higher percentage of Black residents are in Pittsburgh at 23% compared to 5% in Monroe.
- The percentage of White residents is higher in Monroe at 85% compared to 62% in Pittsburgh.
- The Asian population is larger in Pittsburgh at 6% compared to 5% in Monroe.
- Monroe has a higher percentage of Hispanic residents at 5%, compared to 4% in Pittsburgh.
- More residents identify as two or more races in Pittsburgh at 5% compared to 0% in Monroe.
- The percentage of American Indian residents is the same in both Pittsburgh and Monroe at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburgh | Monroe |
|---|---|---|
| Mental Health Not Good | 16.3% | Data is updating% |
| Physical Health Not Good | 11.7% | Data is updating% |
| Depression | 21.1% | Data is updating% |
| Smoking | 18.8% | Data is updating% |
| Binge Drinking | 19.3% | Data is updating% |
| Obesity | 35.0% | Data is updating% |
| Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Pittsburgh vs Monroe
- More residents in Pittsburgh report poor mental health at 16.3% compared to 0.0% in Monroe.
- Depression is more prevalent in Pittsburgh at 21.1% compared to 0.0% in Monroe.
- Smoking is more prevalent in Pittsburgh at 18.8% compared to 0.0% in Monroe.
- Binge drinking is more common in Pittsburgh at 19.3% compared to 0.0% in Monroe.
- Obesity rates are higher in Pittsburgh at 35.0% compared to 0.0% in Monroe.
- Disability percentages are higher in Pittsburgh at 14.0% compared to 0.0% in Monroe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburgh | Monroe |
|---|---|---|
| No Schooling | 0.6% (1,955) | 0.0% (Data is updating) |
| High School Diploma | 13.9% (42,015) | 0.0% (Data is updating) |
| Less than High School | 6.6% (20,087) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 32.1% (97,219) | 0.0% (Data is updating) |
Education Levels Comparison: Pittsburgh vs Monroe
- A higher percentage of residents in Pittsburgh have no formal schooling at 0.6% compared to 0.0% in Monroe.
- A higher percentage of residents in Pittsburgh hold a high school diploma at 13.9% compared to 0.0% in Monroe.
- More residents in Pittsburgh have less than a high school education at 6.6% compared to 0.0% in Monroe.
- A higher percentage of residents in Pittsburgh hold a bachelor's degree or higher at 32.1% compared to 0.0% in Monroe.
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.