Demographics details for Wildwood, GA vs Folsom, PA
Population Overview
Compare main population characteristics in Wildwood, GA vs Folsom, PA.
| Data | Wildwood | Folsom |
|---|---|---|
| Population | 1,923 | 8,535 |
| Median Age | 35.0 years | 37.5 years |
| Median Income | $50,000 | $95,048 |
| Married Families | 30.0% | 41.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 4.0 | 3.6 |
Population Comparison: Wildwood vs Folsom
- The population in Folsom is higher at 8,535, compared to 1,923 in Wildwood.
- The median age in Folsom is higher at 37.5 years, compared to 35.0 years in Wildwood.
- Folsom has a higher median income of $95,048, compared to $50,000 in Wildwood.
- In Folsom, the percentage of married families is higher at 41.0%, compared to 30.0% in Wildwood.
- Wildwood has a higher poverty level at 12% compared to 5% in Folsom.
- The unemployment rate in Wildwood is higher at 4.0%, compared to 3.6% in Folsom.
Demographics
Demographics Wildwood vs Folsom provide insight into the diversity of the communities to compare.
| Demographic | Wildwood | Folsom |
|---|---|---|
| Black | 5 | 5 |
| White | 90 | 89 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 4 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wildwood vs Folsom
- The percentage of Black residents is the same in both Wildwood and Folsom at 5%.
- Wildwood has a higher percentage of White residents at 90% compared to 89% in Folsom.
- Both Wildwood and Folsom have the same percentage of Asian residents at 0%.
- Folsom has a higher percentage of Hispanic residents at 4%, compared to 3% in Wildwood.
- Both Wildwood and Folsom have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Wildwood and Folsom at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wildwood | Folsom |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.5% |
| Physical Health Not Good | Data is updating% | 9.8% |
| Depression | Data is updating% | 22.1% |
| Smoking | Data is updating% | 16.1% |
| Binge Drinking | Data is updating% | 18.5% |
| Obesity | Data is updating% | 31.2% |
| Disability Percentage | Data is updating% | 10.0% |
Health Statistics Comparison: Wildwood vs Folsom
- In Folsom, a higher percentage report poor mental health at 15.5% compared to 0.0% in Wildwood.
- Higher depression rates are seen in Folsom at 22.1% versus 0.0% in Wildwood.
- Folsom has a higher smoking rate at 16.1% compared to 0.0% in Wildwood.
- More residents engage in binge drinking in Folsom at 18.5% compared to 0.0% in Wildwood.
- Folsom has higher obesity rates at 31.2% compared to 0.0% in Wildwood.
- There is a higher percentage of disabled individuals in Folsom at 10.0% compared to 0.0% in Wildwood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wildwood | Folsom |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (71) |
| High School Diploma | 0.0% (Data is updating) | 19.2% (1,635) |
| Less than High School | 0.0% (Data is updating) | 10.1% (860) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 20.5% (1,751) |
Education Levels Comparison: Wildwood vs Folsom
- In Folsom, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Wildwood.
- In Folsom, the rate of residents with high school diplomas is higher at 19.2% compared to 0.0% in Wildwood.
- The percentage of residents with less than a high school education is higher in Folsom at 10.1%, compared to 0.0% in Wildwood.
- In Folsom, a larger share of residents have a bachelor's degree or higher at 20.5% compared to 0.0% in Wildwood.
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.