Demographics details for Washburn, WI vs Park forest, IL
Population Overview
Compare main population characteristics in Washburn, WI vs Park forest, IL.
| Data | Washburn | Park forest |
|---|---|---|
| Population | 16,911 | 20,954 |
| Median Age | 52.2 years | 37.4 years |
| Median Income | $58,504 | $58,907 |
| Married Families | 48.0% | 25.0% |
| Poverty Level | 8% | 13% |
| Unemployment Rate | 3.3 | 8.9 |
Population Comparison: Washburn vs Park forest
- The population in Park forest is higher at 20,954, compared to 16,911 in Washburn.
- Residents in Washburn have a higher median age of 52.2 years compared to 37.4 years in Park forest.
- Park forest has a higher median income of $58,907, compared to $58,504 in Washburn.
- A higher percentage of married families is found in Washburn at 48.0% compared to 25.0% in Park forest.
- The poverty level is higher in Park forest at 13%, compared to 8% in Washburn.
- Park forest has a higher unemployment rate at 8.9% compared to 3.3% in Washburn.
Demographics
Demographics Washburn vs Park forest provide insight into the diversity of the communities to compare.
| Demographic | Washburn | Park forest |
|---|---|---|
| Black | 1 | 72 |
| White | 92 | 17 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | 7 |
| Two or More Races | 3 | 3 |
| American Indian | 1 | 1 |
Demographics Comparison: Washburn vs Park forest
- In Park forest, the percentage of Black residents is higher at 72% compared to 1% in Washburn.
- Washburn has a higher percentage of White residents at 92% compared to 17% in Park forest.
- The Asian population is larger in Washburn at 1% compared to 0% in Park forest.
- Park forest has a higher percentage of Hispanic residents at 7%, compared to 2% in Washburn.
- Both Washburn and Park forest have the same percentage of residents identifying as two or more races at 3%.
- The percentage of American Indian residents is the same in both Washburn and Park forest at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washburn | Park forest |
|---|---|---|
| Mental Health Not Good | 15.7% | 15.5% |
| Physical Health Not Good | 10.5% | 11.2% |
| Depression | 24.3% | 16.9% |
| Smoking | 17.4% | 15.9% |
| Binge Drinking | 23.4% | 15.8% |
| Obesity | 34.0% | 37.2% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Washburn vs Park forest
- More residents in Washburn report poor mental health at 15.7% compared to 15.5% in Park forest.
- Depression is more prevalent in Washburn at 24.3% compared to 16.9% in Park forest.
- Smoking is more prevalent in Washburn at 17.4% compared to 15.9% in Park forest.
- Binge drinking is more common in Washburn at 23.4% compared to 15.8% in Park forest.
- Park forest has higher obesity rates at 37.2% compared to 34.0% in Washburn.
- Disability percentages are higher in Washburn at 16.0% compared to 14.0% in Park forest.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washburn | Park forest |
|---|---|---|
| No Schooling | 0.7% (115) | 2.4% (503) |
| High School Diploma | 22.9% (3,881) | 13.4% (2,802) |
| Less than High School | 9.6% (1,628) | 8.5% (1,787) |
| Bachelor's Degree and Higher | 17.2% (2,913) | 17.4% (3,650) |
Education Levels Comparison: Washburn vs Park forest
- In Park forest, a larger percentage of residents lack formal schooling at 2.4% compared to 0.7% in Washburn.
- A higher percentage of residents in Washburn hold a high school diploma at 22.9% compared to 13.4% in Park forest.
- More residents in Washburn have less than a high school education at 9.6% compared to 8.5% in Park forest.
- In Park forest, a larger share of residents have a bachelor's degree or higher at 17.4% compared to 17.2% in Washburn.
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.