Demographics details for Waukegan, IL vs Willow street, PA
Population Overview
Compare main population characteristics in Waukegan, IL vs Willow street, PA.
| Data | Waukegan | Willow street |
|---|---|---|
| Population | 87,976 | 9,640 |
| Median Age | 34.5 years | 52.8 years |
| Median Income | $66,077 | $100,727 |
| Married Families | 35.0% | 53.0% |
| Poverty Level | 14% | 5% |
| Unemployment Rate | 6.4 | 3.2 |
Population Comparison: Waukegan vs Willow street
- In Waukegan, the population is higher at 87,976, compared to 9,640 in Willow street.
- The median age in Willow street is higher at 52.8 years, compared to 34.5 years in Waukegan.
- Willow street has a higher median income of $100,727, compared to $66,077 in Waukegan.
- In Willow street, the percentage of married families is higher at 53.0%, compared to 35.0% in Waukegan.
- Waukegan has a higher poverty level at 14% compared to 5% in Willow street.
- The unemployment rate in Waukegan is higher at 6.4%, compared to 3.2% in Willow street.
Demographics
Demographics Waukegan vs Willow street provide insight into the diversity of the communities to compare.
| Demographic | Waukegan | Willow street |
|---|---|---|
| Black | 18 | 2 |
| White | 2 | 81 |
| Asian | 7 | 4 |
| Hispanic | 54 | 7 |
| Two or More Races | 18 | 5 |
| American Indian | 1 | 1 |
Demographics Comparison: Waukegan vs Willow street
- A higher percentage of Black residents are in Waukegan at 18% compared to 2% in Willow street.
- The percentage of White residents is higher in Willow street at 81% compared to 2% in Waukegan.
- The Asian population is larger in Waukegan at 7% compared to 4% in Willow street.
- The Hispanic community is larger in Waukegan at 54% compared to 7% in Willow street.
- More residents identify as two or more races in Waukegan at 18% compared to 5% in Willow street.
- The percentage of American Indian residents is the same in both Waukegan and Willow street at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waukegan | Willow street |
|---|---|---|
| Mental Health Not Good | 16.6% | 14.8% |
| Physical Health Not Good | 13.4% | 9.7% |
| Depression | 17.9% | 22.3% |
| Smoking | 18.0% | 14.9% |
| Binge Drinking | 15.2% | 18.7% |
| Obesity | 39.3% | 32.9% |
| Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Waukegan vs Willow street
- More residents in Waukegan report poor mental health at 16.6% compared to 14.8% in Willow street.
- Higher depression rates are seen in Willow street at 22.3% versus 17.9% in Waukegan.
- Smoking is more prevalent in Waukegan at 18.0% compared to 14.9% in Willow street.
- More residents engage in binge drinking in Willow street at 18.7% compared to 15.2% in Waukegan.
- Obesity rates are higher in Waukegan at 39.3% compared to 32.9% in Willow street.
- There is a higher percentage of disabled individuals in Willow street at 17.0% compared to 11.0% in Waukegan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waukegan | Willow street |
|---|---|---|
| No Schooling | 3.1% (2,711) | 0.3% (32) |
| High School Diploma | 16.5% (14,503) | 17.8% (1,717) |
| Less than High School | 27.1% (23,842) | 7.6% (734) |
| Bachelor's Degree and Higher | 13.9% (12,220) | 36.5% (3,517) |
Education Levels Comparison: Waukegan vs Willow street
- A higher percentage of residents in Waukegan have no formal schooling at 3.1% compared to 0.3% in Willow street.
- In Willow street, the rate of residents with high school diplomas is higher at 17.8% compared to 16.5% in Waukegan.
- More residents in Waukegan have less than a high school education at 27.1% compared to 7.6% in Willow street.
- In Willow street, a larger share of residents have a bachelor's degree or higher at 36.5% compared to 13.9% in Waukegan.
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.