Demographics details for Warner robins, GA vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Warner robins, GA vs Pittsburgh, PA.
Data | Warner robins | Pittsburgh |
---|---|---|
Population | 82,175 | 302,898 |
Median Age | 32.4 years | 33.5 years |
Median Income | $63,678 | $60,187 |
Married Families | 32.0% | 26.0% |
Poverty Level | 8% | 15% |
Unemployment Rate | 3.8 | 3.4 |
Population Comparison: Warner robins vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 82,175 in Warner robins.
- The median age in Pittsburgh is higher at 33.5 years, compared to 32.4 years in Warner robins.
- Warner robins has a higher median income of $63,678 compared to $60,187 in Pittsburgh.
- A higher percentage of married families is found in Warner robins at 32.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 8% in Warner robins.
- The unemployment rate in Warner robins is higher at 3.8%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Warner robins vs Pittsburgh provide insight into the diversity of the communities to compare.
Demographic | Warner robins | Pittsburgh |
---|---|---|
Black | 40 | 23 |
White | 42 | 62 |
Asian | 3 | 6 |
Hispanic | 7 | 4 |
Two or More Races | 7 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Warner robins vs Pittsburgh
- A higher percentage of Black residents are in Warner robins at 40% compared to 23% in Pittsburgh.
- The percentage of White residents is higher in Pittsburgh at 62% compared to 42% in Warner robins.
- In Pittsburgh, the Asian population stands at 6%, greater than 3% in Warner robins.
- The Hispanic community is larger in Warner robins at 7% compared to 4% in Pittsburgh.
- More residents identify as two or more races in Warner robins at 7% compared to 5% in Pittsburgh.
- A greater percentage of American Indian residents live in Warner robins at 1% compared to 0% in Pittsburgh.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Warner robins | Pittsburgh |
---|---|---|
Mental Health Not Good | 17.6% | 16.3% |
Physical Health Not Good | 13.1% | 11.7% |
Depression | 22.1% | 21.1% |
Smoking | 18.6% | 18.8% |
Binge Drinking | 15.9% | 19.3% |
Obesity | 39.9% | 35.0% |
Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Warner robins vs Pittsburgh
- More residents in Warner robins report poor mental health at 17.6% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Warner robins at 22.1% compared to 21.1% in Pittsburgh.
- Pittsburgh has a higher smoking rate at 18.8% compared to 18.6% in Warner robins.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 15.9% in Warner robins.
- Obesity rates are higher in Warner robins at 39.9% compared to 35.0% in Pittsburgh.
- There is a higher percentage of disabled individuals in Pittsburgh at 14.0% compared to 12.0% in Warner robins.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Warner robins | Pittsburgh |
---|---|---|
No Schooling | 0.4% (335) | 0.6% (1,955) |
High School Diploma | 14.9% (12,260) | 13.9% (42,015) |
Less than High School | 7.0% (5,714) | 6.6% (20,087) |
Bachelor's Degree and Higher | 19.2% (15,752) | 32.1% (97,219) |
Education Levels Comparison: Warner robins vs Pittsburgh
- In Pittsburgh, a larger percentage of residents lack formal schooling at 0.6% compared to 0.4% in Warner robins.
- A higher percentage of residents in Warner robins hold a high school diploma at 14.9% compared to 13.9% in Pittsburgh.
- More residents in Warner robins have less than a high school education at 7.0% 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 19.2% in Warner robins.
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.