Demographics details for Center, TX vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Center, TX vs Pittsburgh, PA.
| Data | Center | Pittsburgh |
|---|---|---|
| Population | 5,147 | 302,898 |
| Median Age | 38.2 years | 33.5 years |
| Median Income | $57,875 | $60,187 |
| Married Families | 36.0% | 26.0% |
| Poverty Level | 14% | 15% |
| Unemployment Rate | 4.5 | 3.4 |
Population Comparison: Center vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 5,147 in Center.
- Residents in Center have a higher median age of 38.2 years compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187, compared to $57,875 in Center.
- A higher percentage of married families is found in Center at 36.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 14% in Center.
- The unemployment rate in Center is higher at 4.5%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Center vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Center | Pittsburgh |
|---|---|---|
| Black | 26 | 23 |
| White | 44 | 62 |
| Asian | Data is updating | 6 |
| Hispanic | 27 | 4 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Center vs Pittsburgh
- A higher percentage of Black residents are in Center at 26% compared to 23% in Pittsburgh.
- The percentage of White residents is higher in Pittsburgh at 62% compared to 44% in Center.
- In Pittsburgh, the Asian population stands at 6%, greater than 0% in Center.
- The Hispanic community is larger in Center at 27% compared to 4% in Pittsburgh.
- The percentage of residents identifying as two or more races is higher in Pittsburgh at 5%, compared to 3% in Center.
- The percentage of American Indian residents is the same in both Center and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Center | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 21.0% | 16.3% |
| Physical Health Not Good | 16.7% | 11.7% |
| Depression | 24.3% | 21.1% |
| Smoking | 24.8% | 18.8% |
| Binge Drinking | 14.6% | 19.3% |
| Obesity | 44.2% | 35.0% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Center vs Pittsburgh
- More residents in Center report poor mental health at 21.0% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Center at 24.3% compared to 21.1% in Pittsburgh.
- Smoking is more prevalent in Center at 24.8% compared to 18.8% in Pittsburgh.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 14.6% in Center.
- Obesity rates are higher in Center at 44.2% compared to 35.0% in Pittsburgh.
- Disability percentages are the same in both Center and Pittsburgh at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Center | Pittsburgh |
|---|---|---|
| No Schooling | 1.6% (81) | 0.6% (1,955) |
| High School Diploma | 24.8% (1,277) | 13.9% (42,015) |
| Less than High School | 26.6% (1,369) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 8.0% (414) | 32.1% (97,219) |
Education Levels Comparison: Center vs Pittsburgh
- A higher percentage of residents in Center have no formal schooling at 1.6% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Center hold a high school diploma at 24.8% compared to 13.9% in Pittsburgh.
- More residents in Center have less than a high school education at 26.6% 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 8.0% in Center.
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.