Demographics details for Park forest, IL vs Marion, OH
Population Overview
Compare main population characteristics in Park forest, IL vs Marion, OH.
| Data | Park forest | Marion |
|---|---|---|
| Population | 20,954 | 35,327 |
| Median Age | 37.4 years | 37.7 years |
| Median Income | $58,907 | $44,879 |
| Married Families | 25.0% | 29.0% |
| Poverty Level | 13% | 16% |
| Unemployment Rate | 8.9 | 6.0 |
Population Comparison: Park forest vs Marion
- The population in Marion is higher at 35,327, compared to 20,954 in Park forest.
- The median age in Marion is higher at 37.7 years, compared to 37.4 years in Park forest.
- Park forest has a higher median income of $58,907 compared to $44,879 in Marion.
- In Marion, the percentage of married families is higher at 29.0%, compared to 25.0% in Park forest.
- The poverty level is higher in Marion at 16%, compared to 13% in Park forest.
- The unemployment rate in Park forest is higher at 8.9%, compared to 6.0% in Marion.
Demographics
Demographics Park forest vs Marion provide insight into the diversity of the communities to compare.
| Demographic | Park forest | Marion |
|---|---|---|
| Black | 72 | 9 |
| White | 17 | 79 |
| Asian | Data is updating | Data is updating |
| Hispanic | 7 | 5 |
| Two or More Races | 3 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Park forest vs Marion
- A higher percentage of Black residents are in Park forest at 72% compared to 9% in Marion.
- The percentage of White residents is higher in Marion at 79% compared to 17% in Park forest.
- Both Park forest and Marion have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Park forest at 7% compared to 5% in Marion.
- The percentage of residents identifying as two or more races is higher in Marion at 7%, compared to 3% in Park forest.
- A greater percentage of American Indian residents live in Park forest at 1% compared to 0% in Marion.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Park forest | Marion |
|---|---|---|
| Mental Health Not Good | 15.5% | 19.2% |
| Physical Health Not Good | 11.2% | 14.7% |
| Depression | 16.9% | 24.8% |
| Smoking | 15.9% | 27.8% |
| Binge Drinking | 15.8% | 17.6% |
| Obesity | 37.2% | 48.6% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Park forest vs Marion
- In Marion, a higher percentage report poor mental health at 19.2% compared to 15.5% in Park forest.
- Higher depression rates are seen in Marion at 24.8% versus 16.9% in Park forest.
- Marion has a higher smoking rate at 27.8% compared to 15.9% in Park forest.
- More residents engage in binge drinking in Marion at 17.6% compared to 15.8% in Park forest.
- Marion has higher obesity rates at 48.6% compared to 37.2% in Park forest.
- There is a higher percentage of disabled individuals in Marion at 17.0% 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 | Park forest | Marion |
|---|---|---|
| No Schooling | 2.4% (503) | 1.1% (383) |
| High School Diploma | 13.4% (2,802) | 25.9% (9,142) |
| Less than High School | 8.5% (1,787) | 16.3% (5,747) |
| Bachelor's Degree and Higher | 17.4% (3,650) | 7.2% (2,557) |
Education Levels Comparison: Park forest vs Marion
- A higher percentage of residents in Park forest have no formal schooling at 2.4% compared to 1.1% in Marion.
- In Marion, the rate of residents with high school diplomas is higher at 25.9% compared to 13.4% in Park forest.
- The percentage of residents with less than a high school education is higher in Marion at 16.3%, compared to 8.5% in Park forest.
- A higher percentage of residents in Park forest hold a bachelor's degree or higher at 17.4% compared to 7.2% in Marion.
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.