Demographics details for Folsom, PA vs Washington, IN
Population Overview
Compare main population characteristics in Folsom, PA vs Washington, IN.
| Data | Folsom | Washington |
|---|---|---|
| Population | 8,535 | 12,171 |
| Median Age | 37.5 years | 37.0 years |
| Median Income | $95,048 | $48,255 |
| Married Families | 41.0% | 38.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.6 | 3.2 |
Population Comparison: Folsom vs Washington
- The population in Washington is higher at 12,171, compared to 8,535 in Folsom.
- Residents in Folsom have a higher median age of 37.5 years compared to 37.0 years in Washington.
- Folsom has a higher median income of $95,048 compared to $48,255 in Washington.
- A higher percentage of married families is found in Folsom at 41.0% compared to 38.0% in Washington.
- The poverty level is higher in Washington at 12%, compared to 5% in Folsom.
- The unemployment rate in Folsom is higher at 3.6%, compared to 3.2% in Washington.
Demographics
Demographics Folsom vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Folsom | Washington |
|---|---|---|
| Black | 5 | 4 |
| White | 89 | 76 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 12 |
| Two or More Races | 2 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Folsom vs Washington
- A higher percentage of Black residents are in Folsom at 5% compared to 4% in Washington.
- Folsom has a higher percentage of White residents at 89% compared to 76% in Washington.
- Both Folsom and Washington have the same percentage of Asian residents at 0%.
- Washington has a higher percentage of Hispanic residents at 12%, compared to 4% in Folsom.
- The percentage of residents identifying as two or more races is higher in Washington at 8%, compared to 2% in Folsom.
- The percentage of American Indian residents is the same in both Folsom and Washington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Folsom | Washington |
|---|---|---|
| Mental Health Not Good | 15.5% | 18.7% |
| Physical Health Not Good | 9.8% | 13.5% |
| Depression | 22.1% | 27.6% |
| Smoking | 16.1% | 23.3% |
| Binge Drinking | 18.5% | 16.3% |
| Obesity | 31.2% | 36.4% |
| Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Folsom vs Washington
- In Washington, a higher percentage report poor mental health at 18.7% compared to 15.5% in Folsom.
- Higher depression rates are seen in Washington at 27.6% versus 22.1% in Folsom.
- Washington has a higher smoking rate at 23.3% compared to 16.1% in Folsom.
- Binge drinking is more common in Folsom at 18.5% compared to 16.3% in Washington.
- Washington has higher obesity rates at 36.4% compared to 31.2% in Folsom.
- There is a higher percentage of disabled individuals in Washington at 16.0% 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 | Washington |
|---|---|---|
| No Schooling | 0.8% (71) | 1.3% (163) |
| High School Diploma | 19.2% (1,635) | 22.8% (2,771) |
| Less than High School | 10.1% (860) | 20.2% (2,460) |
| Bachelor's Degree and Higher | 20.5% (1,751) | 9.3% (1,129) |
Education Levels Comparison: Folsom vs Washington
- In Washington, a larger percentage of residents lack formal schooling at 1.3% compared to 0.8% in Folsom.
- In Washington, the rate of residents with high school diplomas is higher at 22.8% compared to 19.2% in Folsom.
- The percentage of residents with less than a high school education is higher in Washington at 20.2%, 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 9.3% in Washington.
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.