Demographics details for Summerfield, NC vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Summerfield, NC vs Pittsburgh, PA.
Data | Summerfield | Pittsburgh |
---|---|---|
Population | 11,111 | 302,898 |
Median Age | 45.1 years | 33.5 years |
Median Income | $148,182 | $60,187 |
Married Families | 52.0% | 26.0% |
Poverty Level | 7% | 15% |
Unemployment Rate | 3.4 | 3.4 |
Population Comparison: Summerfield vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 11,111 in Summerfield.
- Residents in Summerfield have a higher median age of 45.1 years compared to 33.5 years in Pittsburgh.
- Summerfield has a higher median income of $148,182 compared to $60,187 in Pittsburgh.
- A higher percentage of married families is found in Summerfield at 52.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 7% in Summerfield.
- The unemployment rate is the same in both Summerfield and Pittsburgh at 3.4%.
Demographics
Demographics Summerfield vs Pittsburgh provide insight into the diversity of the communities to compare.
Demographic | Summerfield | Pittsburgh |
---|---|---|
Black | 5 | 23 |
White | 82 | 62 |
Asian | 4 | 6 |
Hispanic | 5 | 4 |
Two or More Races | 4 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Summerfield vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 5% in Summerfield.
- Summerfield has a higher percentage of White residents at 82% compared to 62% in Pittsburgh.
- In Pittsburgh, the Asian population stands at 6%, greater than 4% in Summerfield.
- The Hispanic community is larger in Summerfield at 5% compared to 4% in Pittsburgh.
- The percentage of residents identifying as two or more races is higher in Pittsburgh at 5%, compared to 4% in Summerfield.
- The percentage of American Indian residents is the same in both Summerfield and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Summerfield | Pittsburgh |
---|---|---|
Mental Health Not Good | 13.0% | 16.3% |
Physical Health Not Good | 8.2% | 11.7% |
Depression | 22.6% | 21.1% |
Smoking | 10.6% | 18.8% |
Binge Drinking | 19.5% | 19.3% |
Obesity | 28.7% | 35.0% |
Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Summerfield vs Pittsburgh
- In Pittsburgh, a higher percentage report poor mental health at 16.3% compared to 13.0% in Summerfield.
- Depression is more prevalent in Summerfield at 22.6% compared to 21.1% in Pittsburgh.
- Pittsburgh has a higher smoking rate at 18.8% compared to 10.6% in Summerfield.
- Binge drinking is more common in Summerfield at 19.5% compared to 19.3% in Pittsburgh.
- Pittsburgh has higher obesity rates at 35.0% compared to 28.7% in Summerfield.
- There is a higher percentage of disabled individuals in Pittsburgh at 14.0% compared to 12.0% in Summerfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Summerfield | Pittsburgh |
---|---|---|
No Schooling | 1.0% (109) | 0.6% (1,955) |
High School Diploma | 8.8% (973) | 13.9% (42,015) |
Less than High School | 6.1% (674) | 6.6% (20,087) |
Bachelor's Degree and Higher | 38.9% (4,326) | 32.1% (97,219) |
Education Levels Comparison: Summerfield vs Pittsburgh
- A higher percentage of residents in Summerfield have no formal schooling at 1.0% compared to 0.6% in Pittsburgh.
- In Pittsburgh, the rate of residents with high school diplomas is higher at 13.9% compared to 8.8% in Summerfield.
- The percentage of residents with less than a high school education is higher in Pittsburgh at 6.6%, compared to 6.1% in Summerfield.
- A higher percentage of residents in Summerfield hold a bachelor's degree or higher at 38.9% compared to 32.1% in Pittsburgh.
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.