Demographics details for Schriever, LA vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Schriever, LA vs Pittsburgh, PA.
| Data | Schriever | Pittsburgh |
|---|---|---|
| Population | 5,469 | 302,898 |
| Median Age | 39.0 years | 33.5 years |
| Median Income | $56,569 | $60,187 |
| Married Families | 36.0% | 26.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 4.0 | 3.4 |
Population Comparison: Schriever vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 5,469 in Schriever.
- Residents in Schriever have a higher median age of 39.0 years compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187, compared to $56,569 in Schriever.
- A higher percentage of married families is found in Schriever at 36.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 12% in Schriever.
- The unemployment rate in Schriever is higher at 4.0%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Schriever vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Schriever | Pittsburgh |
|---|---|---|
| Black | 30 | 23 |
| White | 54 | 62 |
| Asian | 1 | 6 |
| Hispanic | 7 | 4 |
| Two or More Races | 8 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Schriever vs Pittsburgh
- A higher percentage of Black residents are in Schriever at 30% compared to 23% in Pittsburgh.
- The percentage of White residents is higher in Pittsburgh at 62% compared to 54% in Schriever.
- In Pittsburgh, the Asian population stands at 6%, greater than 1% in Schriever.
- The Hispanic community is larger in Schriever at 7% compared to 4% in Pittsburgh.
- More residents identify as two or more races in Schriever at 8% compared to 5% in Pittsburgh.
- The percentage of American Indian residents is the same in both Schriever and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Schriever | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 22.4% | 16.3% |
| Physical Health Not Good | 15.5% | 11.7% |
| Depression | 29.8% | 21.1% |
| Smoking | 26.6% | 18.8% |
| Binge Drinking | 18.1% | 19.3% |
| Obesity | 41.8% | 35.0% |
| Disability Percentage | 22.0% | 14.0% |
Health Statistics Comparison: Schriever vs Pittsburgh
- More residents in Schriever report poor mental health at 22.4% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Schriever at 29.8% compared to 21.1% in Pittsburgh.
- Smoking is more prevalent in Schriever at 26.6% compared to 18.8% in Pittsburgh.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 18.1% in Schriever.
- Obesity rates are higher in Schriever at 41.8% compared to 35.0% in Pittsburgh.
- Disability percentages are higher in Schriever at 22.0% 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 | Schriever | Pittsburgh |
|---|---|---|
| No Schooling | 1.9% (104) | 0.6% (1,955) |
| High School Diploma | 25.0% (1,368) | 13.9% (42,015) |
| Less than High School | 18.0% (983) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 14.0% (765) | 32.1% (97,219) |
Education Levels Comparison: Schriever vs Pittsburgh
- A higher percentage of residents in Schriever have no formal schooling at 1.9% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Schriever hold a high school diploma at 25.0% compared to 13.9% in Pittsburgh.
- More residents in Schriever have less than a high school education at 18.0% 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 14.0% in Schriever.
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.