Demographics details for Williamsport, PA vs Newnan, GA
Population Overview
Compare main population characteristics in Williamsport, PA vs Newnan, GA.
| Data | Williamsport | Newnan |
|---|---|---|
| Population | 27,403 | 44,485 |
| Median Age | 30.3 years | 35.0 years |
| Median Income | $48,388 | $74,606 |
| Married Families | 24.0% | 36.0% |
| Poverty Level | 16% | 10% |
| Unemployment Rate | 4.1 | 4.1 |
Population Comparison: Williamsport vs Newnan
- The population in Newnan is higher at 44,485, compared to 27,403 in Williamsport.
- The median age in Newnan is higher at 35.0 years, compared to 30.3 years in Williamsport.
- Newnan has a higher median income of $74,606, compared to $48,388 in Williamsport.
- In Newnan, the percentage of married families is higher at 36.0%, compared to 24.0% in Williamsport.
- Williamsport has a higher poverty level at 16% compared to 10% in Newnan.
- The unemployment rate is the same in both Williamsport and Newnan at 4.1%.
Demographics
Demographics Williamsport vs Newnan provide insight into the diversity of the communities to compare.
| Demographic | Williamsport | Newnan |
|---|---|---|
| Black | 14 | 34 |
| White | 75 | 48 |
| Asian | 1 | 3 |
| Hispanic | 3 | 8 |
| Two or More Races | 6 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Williamsport vs Newnan
- In Newnan, the percentage of Black residents is higher at 34% compared to 14% in Williamsport.
- Williamsport has a higher percentage of White residents at 75% compared to 48% in Newnan.
- In Newnan, the Asian population stands at 3%, greater than 1% in Williamsport.
- Newnan has a higher percentage of Hispanic residents at 8%, compared to 3% in Williamsport.
- The percentage of residents identifying as two or more races is higher in Newnan at 7%, compared to 6% in Williamsport.
- A greater percentage of American Indian residents live in Williamsport at 1% compared to 0% in Newnan.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Williamsport | Newnan |
|---|---|---|
| Mental Health Not Good | 18.9% | 16.7% |
| Physical Health Not Good | 13.7% | 12.1% |
| Depression | 24.6% | 20.4% |
| Smoking | 22.7% | 16.3% |
| Binge Drinking | 16.2% | 15.7% |
| Obesity | 40.4% | 36.3% |
| Disability Percentage | 18.0% | 9.0% |
Health Statistics Comparison: Williamsport vs Newnan
- More residents in Williamsport report poor mental health at 18.9% compared to 16.7% in Newnan.
- Depression is more prevalent in Williamsport at 24.6% compared to 20.4% in Newnan.
- Smoking is more prevalent in Williamsport at 22.7% compared to 16.3% in Newnan.
- Binge drinking is more common in Williamsport at 16.2% compared to 15.7% in Newnan.
- Obesity rates are higher in Williamsport at 40.4% compared to 36.3% in Newnan.
- Disability percentages are higher in Williamsport at 18.0% compared to 9.0% in Newnan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Williamsport | Newnan |
|---|---|---|
| No Schooling | 0.7% (186) | 0.3% (150) |
| High School Diploma | 16.4% (4,487) | 12.5% (5,575) |
| Less than High School | 12.8% (3,507) | 9.0% (3,998) |
| Bachelor's Degree and Higher | 16.1% (4,416) | 24.3% (10,809) |
Education Levels Comparison: Williamsport vs Newnan
- A higher percentage of residents in Williamsport have no formal schooling at 0.7% compared to 0.3% in Newnan.
- A higher percentage of residents in Williamsport hold a high school diploma at 16.4% compared to 12.5% in Newnan.
- More residents in Williamsport have less than a high school education at 12.8% compared to 9.0% in Newnan.
- In Newnan, a larger share of residents have a bachelor's degree or higher at 24.3% compared to 16.1% in Williamsport.
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.