Demographics details for Pittsburgh, PA vs South solon, OH
Population Overview
Compare main population characteristics in Pittsburgh, PA vs South solon, OH.
Data | Pittsburgh | South solon |
---|---|---|
Population | 302,898 | 327 |
Median Age | 33.5 years | 39.8 years |
Median Income | $60,187 | $56,563 |
Married Families | 26.0% | 48.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Pittsburgh vs South solon
- In Pittsburgh, the population is higher at 302,898, compared to 327 in South solon.
- The median age in South solon is higher at 39.8 years, compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187 compared to $56,563 in South solon.
- In South solon, the percentage of married families is higher at 48.0%, compared to 26.0% in Pittsburgh.
- Pittsburgh has a higher poverty level at 15% compared to 12% in South solon.
- South solon has a higher unemployment rate at 3.5% compared to 3.4% in Pittsburgh.
Demographics
Demographics Pittsburgh vs South solon provide insight into the diversity of the communities to compare.
Demographic | Pittsburgh | South solon |
---|---|---|
Black | 23 | Data is updating |
White | 62 | 70 |
Asian | 6 | Data is updating |
Hispanic | 4 | 20 |
Two or More Races | 5 | 10 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsburgh vs South solon
- A higher percentage of Black residents are in Pittsburgh at 23% compared to 0% in South solon.
- The percentage of White residents is higher in South solon at 70% compared to 62% in Pittsburgh.
- The Asian population is larger in Pittsburgh at 6% compared to 0% in South solon.
- South solon has a higher percentage of Hispanic residents at 20%, compared to 4% in Pittsburgh.
- The percentage of residents identifying as two or more races is higher in South solon at 10%, compared to 5% in Pittsburgh.
- The percentage of American Indian residents is the same in both Pittsburgh and South solon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pittsburgh | South solon |
---|---|---|
Mental Health Not Good | 16.3% | 17.7% |
Physical Health Not Good | 11.7% | 11.9% |
Depression | 21.1% | 24.2% |
Smoking | 18.8% | 21.3% |
Binge Drinking | 19.3% | 19.1% |
Obesity | 35.0% | 40.5% |
Disability Percentage | 14.0% | 16.0% |
Health Statistics Comparison: Pittsburgh vs South solon
- In South solon, a higher percentage report poor mental health at 17.7% compared to 16.3% in Pittsburgh.
- Higher depression rates are seen in South solon at 24.2% versus 21.1% in Pittsburgh.
- South solon has a higher smoking rate at 21.3% compared to 18.8% in Pittsburgh.
- Binge drinking is more common in Pittsburgh at 19.3% compared to 19.1% in South solon.
- South solon has higher obesity rates at 40.5% compared to 35.0% in Pittsburgh.
- There is a higher percentage of disabled individuals in South solon at 16.0% compared to 14.0% in Pittsburgh.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pittsburgh | South solon |
---|---|---|
No Schooling | 0.6% (1,955) | 0.3% (1) |
High School Diploma | 13.9% (42,015) | 41.0% (134) |
Less than High School | 6.6% (20,087) | 21.4% (70) |
Bachelor's Degree and Higher | 32.1% (97,219) | 7.6% (25) |
Education Levels Comparison: Pittsburgh vs South solon
- A higher percentage of residents in Pittsburgh have no formal schooling at 0.6% compared to 0.3% in South solon.
- In South solon, the rate of residents with high school diplomas is higher at 41.0% compared to 13.9% in Pittsburgh.
- The percentage of residents with less than a high school education is higher in South solon at 21.4%, compared to 6.6% in Pittsburgh.
- A higher percentage of residents in Pittsburgh hold a bachelor's degree or higher at 32.1% compared to 7.6% in South solon.
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.