Demographics details for Folsom, PA vs Dayton, OH
Population Overview
Compare main population characteristics in Folsom, PA vs Dayton, OH.
| Data | Folsom | Dayton |
|---|---|---|
| Population | 8,535 | 135,944 |
| Median Age | 37.5 years | 34.0 years |
| Median Income | $95,048 | $41,443 |
| Married Families | 41.0% | 21.0% |
| Poverty Level | 5% | 18% |
| Unemployment Rate | 3.6 | 6.8 |
Population Comparison: Folsom vs Dayton
- The population in Dayton is higher at 135,944, compared to 8,535 in Folsom.
- Residents in Folsom have a higher median age of 37.5 years compared to 34.0 years in Dayton.
- Folsom has a higher median income of $95,048 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Folsom at 41.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 5% in Folsom.
- Dayton has a higher unemployment rate at 6.8% compared to 3.6% in Folsom.
Demographics
Demographics Folsom vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Folsom | Dayton |
|---|---|---|
| Black | 5 | 38 |
| White | 89 | 50 |
| Asian | Data is updating | 1 |
| Hispanic | 4 | 5 |
| Two or More Races | 2 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Folsom vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 5% in Folsom.
- Folsom has a higher percentage of White residents at 89% compared to 50% in Dayton.
- In Dayton, the Asian population stands at 1%, greater than 0% in Folsom.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 4% in Folsom.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 2% in Folsom.
- The percentage of American Indian residents is the same in both Folsom and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Folsom | Dayton |
|---|---|---|
| Mental Health Not Good | 15.5% | 21.9% |
| Physical Health Not Good | 9.8% | 16.5% |
| Depression | 22.1% | 26.5% |
| Smoking | 16.1% | 26.0% |
| Binge Drinking | 18.5% | 15.2% |
| Obesity | 31.2% | 47.6% |
| Disability Percentage | 10.0% | 18.0% |
Health Statistics Comparison: Folsom vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 15.5% in Folsom.
- Higher depression rates are seen in Dayton at 26.5% versus 22.1% in Folsom.
- Dayton has a higher smoking rate at 26.0% compared to 16.1% in Folsom.
- Binge drinking is more common in Folsom at 18.5% compared to 15.2% in Dayton.
- Dayton has higher obesity rates at 47.6% compared to 31.2% in Folsom.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 10.0% in Folsom.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Folsom | Dayton |
|---|---|---|
| No Schooling | 0.8% (71) | 0.9% (1,157) |
| High School Diploma | 19.2% (1,635) | 16.3% (22,101) |
| Less than High School | 10.1% (860) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 20.5% (1,751) | 12.7% (17,260) |
Education Levels Comparison: Folsom vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 0.9% compared to 0.8% in Folsom.
- A higher percentage of residents in Folsom hold a high school diploma at 19.2% compared to 16.3% in Dayton.
- The percentage of residents with less than a high school education is higher in Dayton at 13.9%, compared to 10.1% in Folsom.
- A higher percentage of residents in Folsom hold a bachelor's degree or higher at 20.5% compared to 12.7% in Dayton.
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.