Demographics details for Dublin, GA vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Dublin, GA vs Pittsburgh, PA.
| Data | Dublin | Pittsburgh |
|---|---|---|
| Population | 15,946 | 302,898 |
| Median Age | 34.9 years | 33.5 years |
| Median Income | $37,734 | $60,187 |
| Married Families | 25.0% | 26.0% |
| Poverty Level | 20% | 15% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Dublin vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 15,946 in Dublin.
- Residents in Dublin have a higher median age of 34.9 years compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187, compared to $37,734 in Dublin.
- In Pittsburgh, the percentage of married families is higher at 26.0%, compared to 25.0% in Dublin.
- Dublin has a higher poverty level at 20% compared to 15% in Pittsburgh.
- The unemployment rate in Dublin is higher at 3.5%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Dublin vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Dublin | Pittsburgh |
|---|---|---|
| Black | 66 | 23 |
| White | 29 | 62 |
| Asian | 3 | 6 |
| Hispanic | 1 | 4 |
| Two or More Races | 1 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dublin vs Pittsburgh
- A higher percentage of Black residents are in Dublin at 66% compared to 23% in Pittsburgh.
- The percentage of White residents is higher in Pittsburgh at 62% compared to 29% in Dublin.
- In Pittsburgh, the Asian population stands at 6%, greater than 3% in Dublin.
- Pittsburgh has a higher percentage of Hispanic residents at 4%, compared to 1% in Dublin.
- The percentage of residents identifying as two or more races is higher in Pittsburgh at 5%, compared to 1% in Dublin.
- The percentage of American Indian residents is the same in both Dublin and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dublin | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 19.8% | 16.3% |
| Physical Health Not Good | 15.4% | 11.7% |
| Depression | 22.1% | 21.1% |
| Smoking | 22.1% | 18.8% |
| Binge Drinking | 12.3% | 19.3% |
| Obesity | 43.4% | 35.0% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Dublin vs Pittsburgh
- More residents in Dublin report poor mental health at 19.8% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Dublin at 22.1% compared to 21.1% in Pittsburgh.
- Smoking is more prevalent in Dublin at 22.1% compared to 18.8% in Pittsburgh.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 12.3% in Dublin.
- Obesity rates are higher in Dublin at 43.4% compared to 35.0% in Pittsburgh.
- Disability percentages are the same in both Dublin 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 | Dublin | Pittsburgh |
|---|---|---|
| No Schooling | 1.0% (165) | 0.6% (1,955) |
| High School Diploma | 24.2% (3,864) | 13.9% (42,015) |
| Less than High School | 12.8% (2,046) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 13.6% (2,168) | 32.1% (97,219) |
Education Levels Comparison: Dublin vs Pittsburgh
- A higher percentage of residents in Dublin have no formal schooling at 1.0% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Dublin hold a high school diploma at 24.2% compared to 13.9% in Pittsburgh.
- More residents in Dublin have less than a high school education at 12.8% 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 13.6% in Dublin.
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.