Demographics details for The plains, VA vs Pittsburgh, PA
Population Overview
Compare main population characteristics in The plains, VA vs Pittsburgh, PA.
| Data | The plains | Pittsburgh |
|---|---|---|
| Population | 250 | 302,898 |
| Median Age | 45.2 years | 33.5 years |
| Median Income | $108,250 | $60,187 |
| Married Families | 32.0% | 26.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 3.2 | 3.4 |
Population Comparison: The plains vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 250 in The plains.
- Residents in The plains have a higher median age of 45.2 years compared to 33.5 years in Pittsburgh.
- The plains has a higher median income of $108,250 compared to $60,187 in Pittsburgh.
- A higher percentage of married families is found in The plains at 32.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 5% in The plains.
- Pittsburgh has a higher unemployment rate at 3.4% compared to 3.2% in The plains.
Demographics
Demographics The plains vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | The plains | Pittsburgh |
|---|---|---|
| Black | Data is updating | 23 |
| White | 54 | 62 |
| Asian | 1 | 6 |
| Hispanic | 29 | 4 |
| Two or More Races | 16 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: The plains vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 0% in The plains.
- The percentage of White residents is higher in Pittsburgh at 62% compared to 54% in The plains.
- In Pittsburgh, the Asian population stands at 6%, greater than 1% in The plains.
- The Hispanic community is larger in The plains at 29% compared to 4% in Pittsburgh.
- More residents identify as two or more races in The plains at 16% compared to 5% in Pittsburgh.
- The percentage of American Indian residents is the same in both The plains and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | The plains | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 14.5% | 16.3% |
| Physical Health Not Good | 8.9% | 11.7% |
| Depression | 20.2% | 21.1% |
| Smoking | 12.9% | 18.8% |
| Binge Drinking | 19.4% | 19.3% |
| Obesity | 33.8% | 35.0% |
| Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: The plains vs Pittsburgh
- In Pittsburgh, a higher percentage report poor mental health at 16.3% compared to 14.5% in The plains.
- Higher depression rates are seen in Pittsburgh at 21.1% versus 20.2% in The plains.
- Pittsburgh has a higher smoking rate at 18.8% compared to 12.9% in The plains.
- Binge drinking is more common in The plains at 19.4% compared to 19.3% in Pittsburgh.
- Pittsburgh has higher obesity rates at 35.0% compared to 33.8% in The plains.
- There is a higher percentage of disabled individuals in Pittsburgh at 14.0% compared to 8.0% in The plains.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | The plains | Pittsburgh |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (1,955) |
| High School Diploma | 15.2% (38) | 13.9% (42,015) |
| Less than High School | 27.2% (68) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 20.4% (51) | 32.1% (97,219) |
Education Levels Comparison: The plains vs Pittsburgh
- In Pittsburgh, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in The plains.
- A higher percentage of residents in The plains hold a high school diploma at 15.2% compared to 13.9% in Pittsburgh.
- More residents in The plains have less than a high school education at 27.2% compared to 6.6% in Pittsburgh.
- In Pittsburgh, a larger share of residents have a bachelor's degree or higher at 32.1% compared to 20.4% in The plains.
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.