Demographics details for Folsom, PA vs Campbell, OH
Population Overview
Compare main population characteristics in Folsom, PA vs Campbell, OH.
| Data | Folsom | Campbell |
|---|---|---|
| Population | 8,535 | 7,743 |
| Median Age | 37.5 years | 39.7 years |
| Median Income | $95,048 | $43,176 |
| Married Families | 41.0% | 26.0% |
| Poverty Level | 5% | 24% |
| Unemployment Rate | 3.6 | 6.8 |
Population Comparison: Folsom vs Campbell
- In Folsom, the population is higher at 8,535, compared to 7,743 in Campbell.
- The median age in Campbell is higher at 39.7 years, compared to 37.5 years in Folsom.
- Folsom has a higher median income of $95,048 compared to $43,176 in Campbell.
- A higher percentage of married families is found in Folsom at 41.0% compared to 26.0% in Campbell.
- The poverty level is higher in Campbell at 24%, compared to 5% in Folsom.
- Campbell has a higher unemployment rate at 6.8% compared to 3.6% in Folsom.
Demographics
Demographics Folsom vs Campbell provide insight into the diversity of the communities to compare.
| Demographic | Folsom | Campbell |
|---|---|---|
| Black | 5 | 20 |
| White | 89 | 40 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 27 |
| Two or More Races | 2 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Folsom vs Campbell
- In Campbell, the percentage of Black residents is higher at 20% compared to 5% in Folsom.
- Folsom has a higher percentage of White residents at 89% compared to 40% in Campbell.
- Both Folsom and Campbell have the same percentage of Asian residents at 0%.
- Campbell has a higher percentage of Hispanic residents at 27%, compared to 4% in Folsom.
- The percentage of residents identifying as two or more races is higher in Campbell at 13%, compared to 2% in Folsom.
- The percentage of American Indian residents is the same in both Folsom and Campbell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Folsom | Campbell |
|---|---|---|
| Mental Health Not Good | 15.5% | 21.8% |
| Physical Health Not Good | 9.8% | 17.3% |
| Depression | 22.1% | 26.9% |
| Smoking | 16.1% | 29.5% |
| Binge Drinking | 18.5% | 14.3% |
| Obesity | 31.2% | 47.4% |
| Disability Percentage | 10.0% | 15.0% |
Health Statistics Comparison: Folsom vs Campbell
- In Campbell, a higher percentage report poor mental health at 21.8% compared to 15.5% in Folsom.
- Higher depression rates are seen in Campbell at 26.9% versus 22.1% in Folsom.
- Campbell has a higher smoking rate at 29.5% compared to 16.1% in Folsom.
- Binge drinking is more common in Folsom at 18.5% compared to 14.3% in Campbell.
- Campbell has higher obesity rates at 47.4% compared to 31.2% in Folsom.
- There is a higher percentage of disabled individuals in Campbell at 15.0% 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 | Campbell |
|---|---|---|
| No Schooling | 0.8% (71) | 1.2% (96) |
| High School Diploma | 19.2% (1,635) | 22.6% (1,748) |
| Less than High School | 10.1% (860) | 19.7% (1,524) |
| Bachelor's Degree and Higher | 20.5% (1,751) | 11.4% (886) |
Education Levels Comparison: Folsom vs Campbell
- In Campbell, a larger percentage of residents lack formal schooling at 1.2% compared to 0.8% in Folsom.
- In Campbell, the rate of residents with high school diplomas is higher at 22.6% compared to 19.2% in Folsom.
- The percentage of residents with less than a high school education is higher in Campbell at 19.7%, 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 11.4% in Campbell.
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.