Demographics details for Park forest, IL vs Mantua, NJ
Population Overview
Compare main population characteristics in Park forest, IL vs Mantua, NJ.
| Data | Park forest | Mantua |
|---|---|---|
| Population | 20,954 | 15,283 |
| Median Age | 37.4 years | 43.6 years |
| Median Income | $58,907 | $108,958 |
| Married Families | 25.0% | 45.0% |
| Poverty Level | 13% | 7% |
| Unemployment Rate | 8.9 | 3.5 |
Population Comparison: Park forest vs Mantua
- In Park forest, the population is higher at 20,954, compared to 15,283 in Mantua.
- The median age in Mantua is higher at 43.6 years, compared to 37.4 years in Park forest.
- Mantua has a higher median income of $108,958, compared to $58,907 in Park forest.
- In Mantua, the percentage of married families is higher at 45.0%, compared to 25.0% in Park forest.
- Park forest has a higher poverty level at 13% compared to 7% in Mantua.
- The unemployment rate in Park forest is higher at 8.9%, compared to 3.5% in Mantua.
Demographics
Demographics Park forest vs Mantua provide insight into the diversity of the communities to compare.
| Demographic | Park forest | Mantua |
|---|---|---|
| Black | 72 | 5 |
| White | 17 | 91 |
| Asian | Data is updating | 1 |
| Hispanic | 7 | 1 |
| Two or More Races | 3 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Park forest vs Mantua
- A higher percentage of Black residents are in Park forest at 72% compared to 5% in Mantua.
- The percentage of White residents is higher in Mantua at 91% compared to 17% in Park forest.
- In Mantua, the Asian population stands at 1%, greater than 0% in Park forest.
- The Hispanic community is larger in Park forest at 7% compared to 1% in Mantua.
- More residents identify as two or more races in Park forest at 3% compared to 2% in Mantua.
- A greater percentage of American Indian residents live in Park forest at 1% compared to 0% in Mantua.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Park forest | Mantua |
|---|---|---|
| Mental Health Not Good | 15.5% | Data is updating% |
| Physical Health Not Good | 11.2% | Data is updating% |
| Depression | 16.9% | Data is updating% |
| Smoking | 15.9% | Data is updating% |
| Binge Drinking | 15.8% | Data is updating% |
| Obesity | 37.2% | Data is updating% |
| Disability Percentage | 14.0% | 12.0% |
Health Statistics Comparison: Park forest vs Mantua
- More residents in Park forest report poor mental health at 15.5% compared to 0.0% in Mantua.
- Depression is more prevalent in Park forest at 16.9% compared to 0.0% in Mantua.
- Smoking is more prevalent in Park forest at 15.9% compared to 0.0% in Mantua.
- Binge drinking is more common in Park forest at 15.8% compared to 0.0% in Mantua.
- Obesity rates are higher in Park forest at 37.2% compared to 0.0% in Mantua.
- Disability percentages are higher in Park forest at 14.0% compared to 12.0% in Mantua.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Park forest | Mantua |
|---|---|---|
| No Schooling | 2.4% (503) | 0.7% (105) |
| High School Diploma | 13.4% (2,802) | 21.8% (3,333) |
| Less than High School | 8.5% (1,787) | 7.1% (1,085) |
| Bachelor's Degree and Higher | 17.4% (3,650) | 24.8% (3,788) |
Education Levels Comparison: Park forest vs Mantua
- A higher percentage of residents in Park forest have no formal schooling at 2.4% compared to 0.7% in Mantua.
- In Mantua, the rate of residents with high school diplomas is higher at 21.8% compared to 13.4% in Park forest.
- More residents in Park forest have less than a high school education at 8.5% compared to 7.1% in Mantua.
- In Mantua, a larger share of residents have a bachelor's degree or higher at 24.8% 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.