Demographics details for Pittsburgh, PA vs Morrow, GA
Population Overview
Compare main population characteristics in Pittsburgh, PA vs Morrow, GA.
| Data | Pittsburgh | Morrow |
|---|---|---|
| Population | 302,898 | 6,426 |
| Median Age | 33.5 years | 28.9 years |
| Median Income | $60,187 | $64,890 |
| Married Families | 26.0% | 34.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 3.4 | 4.5 |
Population Comparison: Pittsburgh vs Morrow
- In Pittsburgh, the population is higher at 302,898, compared to 6,426 in Morrow.
- Residents in Pittsburgh have a higher median age of 33.5 years compared to 28.9 years in Morrow.
- Morrow has a higher median income of $64,890, compared to $60,187 in Pittsburgh.
- In Morrow, the percentage of married families is higher at 34.0%, compared to 26.0% in Pittsburgh.
- Pittsburgh has a higher poverty level at 15% compared to 12% in Morrow.
- Morrow has a higher unemployment rate at 4.5% compared to 3.4% in Pittsburgh.
Demographics
Demographics Pittsburgh vs Morrow provide insight into the diversity of the communities to compare.
| Demographic | Pittsburgh | Morrow |
|---|---|---|
| Black | 23 | 37 |
| White | 62 | 22 |
| Asian | 6 | 29 |
| Hispanic | 4 | 28 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsburgh vs Morrow
- In Morrow, the percentage of Black residents is higher at 37% compared to 23% in Pittsburgh.
- Pittsburgh has a higher percentage of White residents at 62% compared to 22% in Morrow.
- In Morrow, the Asian population stands at 29%, greater than 6% in Pittsburgh.
- Morrow has a higher percentage of Hispanic residents at 28%, compared to 4% in Pittsburgh.
- The percentage of residents identifying as two or more races is higher in Morrow at 7%, compared to 5% in Pittsburgh.
- The percentage of American Indian residents is the same in both Pittsburgh and Morrow at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburgh | Morrow |
|---|---|---|
| Mental Health Not Good | 16.3% | 16.8% |
| Physical Health Not Good | 11.7% | 13.2% |
| Depression | 21.1% | 16.2% |
| Smoking | 18.8% | 19.1% |
| Binge Drinking | 19.3% | 12.3% |
| Obesity | 35.0% | 37.5% |
| Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Pittsburgh vs Morrow
- In Morrow, a higher percentage report poor mental health at 16.8% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Pittsburgh at 21.1% compared to 16.2% in Morrow.
- Morrow has a higher smoking rate at 19.1% compared to 18.8% in Pittsburgh.
- Binge drinking is more common in Pittsburgh at 19.3% compared to 12.3% in Morrow.
- Morrow has higher obesity rates at 37.5% compared to 35.0% in Pittsburgh.
- Disability percentages are higher in Pittsburgh at 14.0% compared to 10.0% in Morrow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburgh | Morrow |
|---|---|---|
| No Schooling | 0.6% (1,955) | 2.6% (168) |
| High School Diploma | 13.9% (42,015) | 14.5% (929) |
| Less than High School | 6.6% (20,087) | 19.9% (1,280) |
| Bachelor's Degree and Higher | 32.1% (97,219) | 10.0% (642) |
Education Levels Comparison: Pittsburgh vs Morrow
- In Morrow, a larger percentage of residents lack formal schooling at 2.6% compared to 0.6% in Pittsburgh.
- In Morrow, the rate of residents with high school diplomas is higher at 14.5% compared to 13.9% in Pittsburgh.
- The percentage of residents with less than a high school education is higher in Morrow at 19.9%, 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 10.0% in Morrow.
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.