Demographics details for Pittsburgh, PA vs Centralia, WA
Population Overview
Compare main population characteristics in Pittsburgh, PA vs Centralia, WA.
| Data | Pittsburgh | Centralia |
|---|---|---|
| Population | 302,898 | 18,773 |
| Median Age | 33.5 years | 38.5 years |
| Median Income | $60,187 | $50,422 |
| Married Families | 26.0% | 28.0% |
| Poverty Level | 15% | 14% |
| Unemployment Rate | 3.4 | 5.4 |
Population Comparison: Pittsburgh vs Centralia
- In Pittsburgh, the population is higher at 302,898, compared to 18,773 in Centralia.
- The median age in Centralia is higher at 38.5 years, compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187 compared to $50,422 in Centralia.
- In Centralia, the percentage of married families is higher at 28.0%, compared to 26.0% in Pittsburgh.
- Pittsburgh has a higher poverty level at 15% compared to 14% in Centralia.
- Centralia has a higher unemployment rate at 5.4% compared to 3.4% in Pittsburgh.
Demographics
Demographics Pittsburgh vs Centralia provide insight into the diversity of the communities to compare.
| Demographic | Pittsburgh | Centralia |
|---|---|---|
| Black | 23 | 1 |
| White | 62 | 70 |
| Asian | 6 | 1 |
| Hispanic | 4 | 17 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsburgh vs Centralia
- A higher percentage of Black residents are in Pittsburgh at 23% compared to 1% in Centralia.
- The percentage of White residents is higher in Centralia at 70% compared to 62% in Pittsburgh.
- The Asian population is larger in Pittsburgh at 6% compared to 1% in Centralia.
- Centralia has a higher percentage of Hispanic residents at 17%, compared to 4% in Pittsburgh.
- The percentage of residents identifying as two or more races is higher in Centralia at 11%, compared to 5% in Pittsburgh.
- The percentage of American Indian residents is the same in both Pittsburgh and Centralia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburgh | Centralia |
|---|---|---|
| Mental Health Not Good | 16.3% | 19.3% |
| Physical Health Not Good | 11.7% | 13.5% |
| Depression | 21.1% | 27.5% |
| Smoking | 18.8% | 19.2% |
| Binge Drinking | 19.3% | 15.9% |
| Obesity | 35.0% | 36.5% |
| Disability Percentage | 14.0% | 19.0% |
Health Statistics Comparison: Pittsburgh vs Centralia
- In Centralia, a higher percentage report poor mental health at 19.3% compared to 16.3% in Pittsburgh.
- Higher depression rates are seen in Centralia at 27.5% versus 21.1% in Pittsburgh.
- Centralia has a higher smoking rate at 19.2% compared to 18.8% in Pittsburgh.
- Binge drinking is more common in Pittsburgh at 19.3% compared to 15.9% in Centralia.
- Centralia has higher obesity rates at 36.5% compared to 35.0% in Pittsburgh.
- There is a higher percentage of disabled individuals in Centralia at 19.0% 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 | Centralia |
|---|---|---|
| No Schooling | 0.6% (1,955) | 1.1% (214) |
| High School Diploma | 13.9% (42,015) | 17.6% (3,312) |
| Less than High School | 6.6% (20,087) | 19.3% (3,617) |
| Bachelor's Degree and Higher | 32.1% (97,219) | 11.6% (2,187) |
Education Levels Comparison: Pittsburgh vs Centralia
- In Centralia, a larger percentage of residents lack formal schooling at 1.1% compared to 0.6% in Pittsburgh.
- In Centralia, the rate of residents with high school diplomas is higher at 17.6% compared to 13.9% in Pittsburgh.
- The percentage of residents with less than a high school education is higher in Centralia at 19.3%, 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 11.6% in Centralia.
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.