Demographics details for Wyoming, MI vs Park forest, IL
Population Overview
Compare main population characteristics in Wyoming, MI vs Park forest, IL.
| Data | Wyoming | Park forest |
|---|---|---|
| Population | 76,726 | 20,954 |
| Median Age | 33.9 years | 37.4 years |
| Median Income | $67,234 | $58,907 |
| Married Families | 37.0% | 25.0% |
| Poverty Level | 11% | 13% |
| Unemployment Rate | 4.4 | 8.9 |
Population Comparison: Wyoming vs Park forest
- In Wyoming, the population is higher at 76,726, compared to 20,954 in Park forest.
- The median age in Park forest is higher at 37.4 years, compared to 33.9 years in Wyoming.
- Wyoming has a higher median income of $67,234 compared to $58,907 in Park forest.
- A higher percentage of married families is found in Wyoming at 37.0% compared to 25.0% in Park forest.
- The poverty level is higher in Park forest at 13%, compared to 11% in Wyoming.
- Park forest has a higher unemployment rate at 8.9% compared to 4.4% in Wyoming.
Demographics
Demographics Wyoming vs Park forest provide insight into the diversity of the communities to compare.
| Demographic | Wyoming | Park forest |
|---|---|---|
| Black | 10 | 72 |
| White | 49 | 17 |
| Asian | 3 | Data is updating |
| Hispanic | 24 | 7 |
| Two or More Races | 13 | 3 |
| American Indian | 1 | 1 |
Demographics Comparison: Wyoming vs Park forest
- In Park forest, the percentage of Black residents is higher at 72% compared to 10% in Wyoming.
- Wyoming has a higher percentage of White residents at 49% compared to 17% in Park forest.
- The Asian population is larger in Wyoming at 3% compared to 0% in Park forest.
- The Hispanic community is larger in Wyoming at 24% compared to 7% in Park forest.
- More residents identify as two or more races in Wyoming at 13% compared to 3% in Park forest.
- The percentage of American Indian residents is the same in both Wyoming and Park forest at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wyoming | Park forest |
|---|---|---|
| Mental Health Not Good | 17.8% | 15.5% |
| Physical Health Not Good | 11.6% | 11.2% |
| Depression | 26.2% | 16.9% |
| Smoking | 18.0% | 15.9% |
| Binge Drinking | 17.6% | 15.8% |
| Obesity | 33.5% | 37.2% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Wyoming vs Park forest
- More residents in Wyoming report poor mental health at 17.8% compared to 15.5% in Park forest.
- Depression is more prevalent in Wyoming at 26.2% compared to 16.9% in Park forest.
- Smoking is more prevalent in Wyoming at 18.0% compared to 15.9% in Park forest.
- Binge drinking is more common in Wyoming at 17.6% compared to 15.8% in Park forest.
- Park forest has higher obesity rates at 37.2% compared to 33.5% in Wyoming.
- There is a higher percentage of disabled individuals in Park forest at 14.0% compared to 12.0% in Wyoming.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wyoming | Park forest |
|---|---|---|
| No Schooling | 1.2% (918) | 2.4% (503) |
| High School Diploma | 16.7% (12,843) | 13.4% (2,802) |
| Less than High School | 15.0% (11,484) | 8.5% (1,787) |
| Bachelor's Degree and Higher | 15.4% (11,845) | 17.4% (3,650) |
Education Levels Comparison: Wyoming vs Park forest
- In Park forest, a larger percentage of residents lack formal schooling at 2.4% compared to 1.2% in Wyoming.
- A higher percentage of residents in Wyoming hold a high school diploma at 16.7% compared to 13.4% in Park forest.
- More residents in Wyoming have less than a high school education at 15.0% 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 15.4% in Wyoming.
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.