Demographics details for Windber, PA vs Marietta, GA
Population Overview
Compare main population characteristics in Windber, PA vs Marietta, GA.
| Data | Windber | Marietta |
|---|---|---|
| Population | 3,875 | 62,602 |
| Median Age | 41.5 years | 35.2 years |
| Median Income | $48,299 | $67,589 |
| Married Families | 38.0% | 31.0% |
| Poverty Level | 9% | 11% |
| Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Windber vs Marietta
- The population in Marietta is higher at 62,602, compared to 3,875 in Windber.
- Residents in Windber have a higher median age of 41.5 years compared to 35.2 years in Marietta.
- Marietta has a higher median income of $67,589, compared to $48,299 in Windber.
- A higher percentage of married families is found in Windber at 38.0% compared to 31.0% in Marietta.
- The poverty level is higher in Marietta at 11%, compared to 9% in Windber.
- The unemployment rate in Windber is higher at 5.1%, compared to 3.5% in Marietta.
Demographics
Demographics Windber vs Marietta provide insight into the diversity of the communities to compare.
| Demographic | Windber | Marietta |
|---|---|---|
| Black | Data is updating | 30 |
| White | 99 | 41 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 18 |
| Two or More Races | 1 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Windber vs Marietta
- In Marietta, the percentage of Black residents is higher at 30% compared to 0% in Windber.
- Windber has a higher percentage of White residents at 99% compared to 41% in Marietta.
- In Marietta, the Asian population stands at 2%, greater than 0% in Windber.
- Marietta has a higher percentage of Hispanic residents at 18%, compared to 0% in Windber.
- The percentage of residents identifying as two or more races is higher in Marietta at 8%, compared to 1% in Windber.
- In Marietta, the percentage of American Indian residents is higher at 1%, compared to 0% in Windber.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Windber | Marietta |
|---|---|---|
| Mental Health Not Good | 18.8% | 15.1% |
| Physical Health Not Good | 13.5% | 11.1% |
| Depression | 24.8% | 18.1% |
| Smoking | 23.4% | 14.5% |
| Binge Drinking | 18.1% | 14.5% |
| Obesity | 41.2% | 32.3% |
| Disability Percentage | 13.0% | 9.0% |
Health Statistics Comparison: Windber vs Marietta
- More residents in Windber report poor mental health at 18.8% compared to 15.1% in Marietta.
- Depression is more prevalent in Windber at 24.8% compared to 18.1% in Marietta.
- Smoking is more prevalent in Windber at 23.4% compared to 14.5% in Marietta.
- Binge drinking is more common in Windber at 18.1% compared to 14.5% in Marietta.
- Obesity rates are higher in Windber at 41.2% compared to 32.3% in Marietta.
- Disability percentages are higher in Windber at 13.0% compared to 9.0% in Marietta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Windber | Marietta |
|---|---|---|
| No Schooling | 0.6% (24) | 1.8% (1,148) |
| High School Diploma | 38.3% (1,484) | 10.0% (6,250) |
| Less than High School | 6.9% (268) | 13.1% (8,224) |
| Bachelor's Degree and Higher | 12.8% (496) | 29.9% (18,706) |
Education Levels Comparison: Windber vs Marietta
- In Marietta, a larger percentage of residents lack formal schooling at 1.8% compared to 0.6% in Windber.
- A higher percentage of residents in Windber hold a high school diploma at 38.3% compared to 10.0% in Marietta.
- The percentage of residents with less than a high school education is higher in Marietta at 13.1%, compared to 6.9% in Windber.
- In Marietta, a larger share of residents have a bachelor's degree or higher at 29.9% compared to 12.8% in Windber.
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.