Demographics details for Paterson, NJ vs Park forest, IL
Population Overview
Compare main population characteristics in Paterson, NJ vs Park forest, IL.
| Data | Paterson | Park forest |
|---|---|---|
| Population | 156,661 | 20,954 |
| Median Age | 33.1 years | 37.4 years |
| Median Income | $52,092 | $58,907 |
| Married Families | 27.0% | 25.0% |
| Poverty Level | 18% | 13% |
| Unemployment Rate | 8.8 | 8.9 |
Population Comparison: Paterson vs Park forest
- In Paterson, the population is higher at 156,661, compared to 20,954 in Park forest.
- The median age in Park forest is higher at 37.4 years, compared to 33.1 years in Paterson.
- Park forest has a higher median income of $58,907, compared to $52,092 in Paterson.
- A higher percentage of married families is found in Paterson at 27.0% compared to 25.0% in Park forest.
- Paterson has a higher poverty level at 18% compared to 13% in Park forest.
- Park forest has a higher unemployment rate at 8.9% compared to 8.8% in Paterson.
Demographics
Demographics Paterson vs Park forest provide insight into the diversity of the communities to compare.
| Demographic | Paterson | Park forest |
|---|---|---|
| Black | 25 | 72 |
| White | Data is updating | 17 |
| Asian | 5 | Data is updating |
| Hispanic | 64 | 7 |
| Two or More Races | 17 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Paterson vs Park forest
- In Park forest, the percentage of Black residents is higher at 72% compared to 25% in Paterson.
- The percentage of White residents is higher in Park forest at 17% compared to 0% in Paterson.
- The Asian population is larger in Paterson at 5% compared to 0% in Park forest.
- The Hispanic community is larger in Paterson at 64% compared to 7% in Park forest.
- More residents identify as two or more races in Paterson at 17% compared to 3% in Park forest.
- In Park forest, the percentage of American Indian residents is higher at 1%, compared to 0% in Paterson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Paterson | Park forest |
|---|---|---|
| Mental Health Not Good | 17.5% | 15.5% |
| Physical Health Not Good | 15.1% | 11.2% |
| Depression | 16.5% | 16.9% |
| Smoking | 17.7% | 15.9% |
| Binge Drinking | 13.9% | 15.8% |
| Obesity | 38.0% | 37.2% |
| Disability Percentage | 7.0% | 14.0% |
Health Statistics Comparison: Paterson vs Park forest
- More residents in Paterson report poor mental health at 17.5% compared to 15.5% in Park forest.
- Higher depression rates are seen in Park forest at 16.9% versus 16.5% in Paterson.
- Smoking is more prevalent in Paterson at 17.7% compared to 15.9% in Park forest.
- More residents engage in binge drinking in Park forest at 15.8% compared to 13.9% in Paterson.
- Obesity rates are higher in Paterson at 38.0% compared to 37.2% in Park forest.
- There is a higher percentage of disabled individuals in Park forest at 14.0% compared to 7.0% in Paterson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Paterson | Park forest |
|---|---|---|
| No Schooling | 2.1% (3,278) | 2.4% (503) |
| High School Diploma | 25.1% (39,354) | 13.4% (2,802) |
| Less than High School | 26.1% (40,961) | 8.5% (1,787) |
| Bachelor's Degree and Higher | 7.9% (12,450) | 17.4% (3,650) |
Education Levels Comparison: Paterson vs Park forest
- In Park forest, a larger percentage of residents lack formal schooling at 2.4% compared to 2.1% in Paterson.
- A higher percentage of residents in Paterson hold a high school diploma at 25.1% compared to 13.4% in Park forest.
- More residents in Paterson have less than a high school education at 26.1% 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 7.9% in Paterson.
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.