Demographics details for Winfield, KS vs Park forest, IL
Population Overview
Compare main population characteristics in Winfield, KS vs Park forest, IL.
| Data | Winfield | Park forest |
|---|---|---|
| Population | 11,701 | 20,954 |
| Median Age | 37.1 years | 37.4 years |
| Median Income | $55,850 | $58,907 |
| Married Families | 34.0% | 25.0% |
| Poverty Level | 11% | 13% |
| Unemployment Rate | 3.5 | 8.9 |
Population Comparison: Winfield vs Park forest
- The population in Park forest is higher at 20,954, compared to 11,701 in Winfield.
- The median age in Park forest is higher at 37.4 years, compared to 37.1 years in Winfield.
- Park forest has a higher median income of $58,907, compared to $55,850 in Winfield.
- A higher percentage of married families is found in Winfield at 34.0% compared to 25.0% in Park forest.
- The poverty level is higher in Park forest at 13%, compared to 11% in Winfield.
- Park forest has a higher unemployment rate at 8.9% compared to 3.5% in Winfield.
Demographics
Demographics Winfield vs Park forest provide insight into the diversity of the communities to compare.
| Demographic | Winfield | Park forest |
|---|---|---|
| Black | 3 | 72 |
| White | 79 | 17 |
| Asian | 4 | Data is updating |
| Hispanic | 8 | 7 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Winfield vs Park forest
- In Park forest, the percentage of Black residents is higher at 72% compared to 3% in Winfield.
- Winfield has a higher percentage of White residents at 79% compared to 17% in Park forest.
- The Asian population is larger in Winfield at 4% compared to 0% in Park forest.
- The Hispanic community is larger in Winfield at 8% compared to 7% in Park forest.
- More residents identify as two or more races in Winfield at 6% compared to 3% in Park forest.
- In Park forest, the percentage of American Indian residents is higher at 1%, compared to 0% in Winfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winfield | Park forest |
|---|---|---|
| Mental Health Not Good | 17.1% | 15.5% |
| Physical Health Not Good | 11.2% | 11.2% |
| Depression | 22.4% | 16.9% |
| Smoking | 20.5% | 15.9% |
| Binge Drinking | 17.4% | 15.8% |
| Obesity | 40.5% | 37.2% |
| Disability Percentage | 19.0% | 14.0% |
Health Statistics Comparison: Winfield vs Park forest
- More residents in Winfield report poor mental health at 17.1% compared to 15.5% in Park forest.
- Depression is more prevalent in Winfield at 22.4% compared to 16.9% in Park forest.
- Smoking is more prevalent in Winfield at 20.5% compared to 15.9% in Park forest.
- Binge drinking is more common in Winfield at 17.4% compared to 15.8% in Park forest.
- Obesity rates are higher in Winfield at 40.5% compared to 37.2% in Park forest.
- Disability percentages are higher in Winfield at 19.0% 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 | Winfield | Park forest |
|---|---|---|
| No Schooling | 1.5% (173) | 2.4% (503) |
| High School Diploma | 15.9% (1,856) | 13.4% (2,802) |
| Less than High School | 10.4% (1,217) | 8.5% (1,787) |
| Bachelor's Degree and Higher | 19.1% (2,232) | 17.4% (3,650) |
Education Levels Comparison: Winfield vs Park forest
- In Park forest, a larger percentage of residents lack formal schooling at 2.4% compared to 1.5% in Winfield.
- A higher percentage of residents in Winfield hold a high school diploma at 15.9% compared to 13.4% in Park forest.
- More residents in Winfield have less than a high school education at 10.4% compared to 8.5% in Park forest.
- A higher percentage of residents in Winfield hold a bachelor's degree or higher at 19.1% compared to 17.4% in Park forest.
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.