Demographics details for Wheeler, TX vs Park forest, IL
Population Overview
Compare main population characteristics in Wheeler, TX vs Park forest, IL.
| Data | Wheeler | Park forest |
|---|---|---|
| Population | 4,807 | 20,954 |
| Median Age | 40.0 years | 37.4 years |
| Median Income | $58,158 | $58,907 |
| Married Families | 49.0% | 25.0% |
| Poverty Level | 14% | 13% |
| Unemployment Rate | 4.1 | 8.9 |
Population Comparison: Wheeler vs Park forest
- The population in Park forest is higher at 20,954, compared to 4,807 in Wheeler.
- Residents in Wheeler have a higher median age of 40.0 years compared to 37.4 years in Park forest.
- Park forest has a higher median income of $58,907, compared to $58,158 in Wheeler.
- A higher percentage of married families is found in Wheeler at 49.0% compared to 25.0% in Park forest.
- Wheeler has a higher poverty level at 14% compared to 13% in Park forest.
- Park forest has a higher unemployment rate at 8.9% compared to 4.1% in Wheeler.
Demographics
Demographics Wheeler vs Park forest provide insight into the diversity of the communities to compare.
| Demographic | Wheeler | Park forest |
|---|---|---|
| Black | 3 | 72 |
| White | 63 | 17 |
| Asian | Data is updating | Data is updating |
| Hispanic | 26 | 7 |
| Two or More Races | 8 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Wheeler vs Park forest
- In Park forest, the percentage of Black residents is higher at 72% compared to 3% in Wheeler.
- Wheeler has a higher percentage of White residents at 63% compared to 17% in Park forest.
- Both Wheeler and Park forest have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Wheeler at 26% compared to 7% in Park forest.
- More residents identify as two or more races in Wheeler at 8% compared to 3% in Park forest.
- In Park forest, the percentage of American Indian residents is higher at 1%, compared to 0% in Wheeler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeler | Park forest |
|---|---|---|
| Mental Health Not Good | 18.9% | 15.5% |
| Physical Health Not Good | 13.6% | 11.2% |
| Depression | 24.8% | 16.9% |
| Smoking | 20.3% | 15.9% |
| Binge Drinking | 17.8% | 15.8% |
| Obesity | 39.0% | 37.2% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Wheeler vs Park forest
- More residents in Wheeler report poor mental health at 18.9% compared to 15.5% in Park forest.
- Depression is more prevalent in Wheeler at 24.8% compared to 16.9% in Park forest.
- Smoking is more prevalent in Wheeler at 20.3% compared to 15.9% in Park forest.
- Binge drinking is more common in Wheeler at 17.8% compared to 15.8% in Park forest.
- Obesity rates are higher in Wheeler at 39.0% compared to 37.2% in Park forest.
- Disability percentages are higher in Wheeler 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 | Wheeler | Park forest |
|---|---|---|
| No Schooling | 1.2% (59) | 2.4% (503) |
| High School Diploma | 23.7% (1,141) | 13.4% (2,802) |
| Less than High School | 19.7% (948) | 8.5% (1,787) |
| Bachelor's Degree and Higher | 12.4% (596) | 17.4% (3,650) |
Education Levels Comparison: Wheeler vs Park forest
- In Park forest, a larger percentage of residents lack formal schooling at 2.4% compared to 1.2% in Wheeler.
- A higher percentage of residents in Wheeler hold a high school diploma at 23.7% compared to 13.4% in Park forest.
- More residents in Wheeler have less than a high school education at 19.7% 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 12.4% in Wheeler.
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.