Demographics details for Waterbury, CT vs Park forest, IL
Population Overview
Compare main population characteristics in Waterbury, CT vs Park forest, IL.
| Data | Waterbury | Park forest |
|---|---|---|
| Population | 115,016 | 20,954 |
| Median Age | 36.7 years | 37.4 years |
| Median Income | $51,451 | $58,907 |
| Married Families | 28.0% | 25.0% |
| Poverty Level | 13% | 13% |
| Unemployment Rate | 4.5 | 8.9 |
Population Comparison: Waterbury vs Park forest
- In Waterbury, the population is higher at 115,016, compared to 20,954 in Park forest.
- The median age in Park forest is higher at 37.4 years, compared to 36.7 years in Waterbury.
- Park forest has a higher median income of $58,907, compared to $51,451 in Waterbury.
- A higher percentage of married families is found in Waterbury at 28.0% compared to 25.0% in Park forest.
- The poverty level is identical in both Waterbury and Park forest at 13%.
- Park forest has a higher unemployment rate at 8.9% compared to 4.5% in Waterbury.
Demographics
Demographics Waterbury vs Park forest provide insight into the diversity of the communities to compare.
| Demographic | Waterbury | Park forest |
|---|---|---|
| Black | 28 | 72 |
| White | 22 | 17 |
| Asian | 3 | Data is updating |
| Hispanic | 36 | 7 |
| Two or More Races | 11 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Waterbury vs Park forest
- In Park forest, the percentage of Black residents is higher at 72% compared to 28% in Waterbury.
- Waterbury has a higher percentage of White residents at 22% compared to 17% in Park forest.
- The Asian population is larger in Waterbury at 3% compared to 0% in Park forest.
- The Hispanic community is larger in Waterbury at 36% compared to 7% in Park forest.
- More residents identify as two or more races in Waterbury at 11% compared to 3% in Park forest.
- In Park forest, the percentage of American Indian residents is higher at 1%, compared to 0% in Waterbury.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterbury | Park forest |
|---|---|---|
| Mental Health Not Good | 17.3% | 15.5% |
| Physical Health Not Good | 13.3% | 11.2% |
| Depression | 22.0% | 16.9% |
| Smoking | 21.8% | 15.9% |
| Binge Drinking | 13.7% | 15.8% |
| Obesity | 37.1% | 37.2% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Waterbury vs Park forest
- More residents in Waterbury report poor mental health at 17.3% compared to 15.5% in Park forest.
- Depression is more prevalent in Waterbury at 22.0% compared to 16.9% in Park forest.
- Smoking is more prevalent in Waterbury at 21.8% compared to 15.9% in Park forest.
- More residents engage in binge drinking in Park forest at 15.8% compared to 13.7% in Waterbury.
- Park forest has higher obesity rates at 37.2% compared to 37.1% in Waterbury.
- Disability percentages are higher in Waterbury 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 | Waterbury | Park forest |
|---|---|---|
| No Schooling | 1.9% (2,221) | 2.4% (503) |
| High School Diploma | 21.4% (24,629) | 13.4% (2,802) |
| Less than High School | 20.7% (23,816) | 8.5% (1,787) |
| Bachelor's Degree and Higher | 11.1% (12,745) | 17.4% (3,650) |
Education Levels Comparison: Waterbury vs Park forest
- In Park forest, a larger percentage of residents lack formal schooling at 2.4% compared to 1.9% in Waterbury.
- A higher percentage of residents in Waterbury hold a high school diploma at 21.4% compared to 13.4% in Park forest.
- More residents in Waterbury have less than a high school education at 20.7% 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 11.1% in Waterbury.
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.