Demographics details for Waukegan, IL vs Saint marys, WV
Population Overview
Compare main population characteristics in Waukegan, IL vs Saint marys, WV.
| Data | Waukegan | Saint marys |
|---|---|---|
| Population | 87,976 | 1,808 |
| Median Age | 34.5 years | 40.5 years |
| Median Income | $66,077 | $53,125 |
| Married Families | 35.0% | 52.0% |
| Poverty Level | 14% | 11% |
| Unemployment Rate | 6.4 | 4.3 |
Population Comparison: Waukegan vs Saint marys
- In Waukegan, the population is higher at 87,976, compared to 1,808 in Saint marys.
- The median age in Saint marys is higher at 40.5 years, compared to 34.5 years in Waukegan.
- Waukegan has a higher median income of $66,077 compared to $53,125 in Saint marys.
- In Saint marys, the percentage of married families is higher at 52.0%, compared to 35.0% in Waukegan.
- Waukegan has a higher poverty level at 14% compared to 11% in Saint marys.
- The unemployment rate in Waukegan is higher at 6.4%, compared to 4.3% in Saint marys.
Demographics
Demographics Waukegan vs Saint marys provide insight into the diversity of the communities to compare.
| Demographic | Waukegan | Saint marys |
|---|---|---|
| Black | 18 | Data is updating |
| White | 2 | 91 |
| Asian | 7 | Data is updating |
| Hispanic | 54 | 4 |
| Two or More Races | 18 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Waukegan vs Saint marys
- A higher percentage of Black residents are in Waukegan at 18% compared to 0% in Saint marys.
- The percentage of White residents is higher in Saint marys at 91% compared to 2% in Waukegan.
- The Asian population is larger in Waukegan at 7% compared to 0% in Saint marys.
- The Hispanic community is larger in Waukegan at 54% compared to 4% in Saint marys.
- More residents identify as two or more races in Waukegan at 18% compared to 5% in Saint marys.
- A greater percentage of American Indian residents live in Waukegan at 1% compared to 0% in Saint marys.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waukegan | Saint marys |
|---|---|---|
| Mental Health Not Good | 16.6% | 20.2% |
| Physical Health Not Good | 13.4% | 14.0% |
| Depression | 17.9% | 28.5% |
| Smoking | 18.0% | 22.0% |
| Binge Drinking | 15.2% | 14.5% |
| Obesity | 39.3% | 44.3% |
| Disability Percentage | 11.0% | 21.0% |
Health Statistics Comparison: Waukegan vs Saint marys
- In Saint marys, a higher percentage report poor mental health at 20.2% compared to 16.6% in Waukegan.
- Higher depression rates are seen in Saint marys at 28.5% versus 17.9% in Waukegan.
- Saint marys has a higher smoking rate at 22.0% compared to 18.0% in Waukegan.
- Binge drinking is more common in Waukegan at 15.2% compared to 14.5% in Saint marys.
- Saint marys has higher obesity rates at 44.3% compared to 39.3% in Waukegan.
- There is a higher percentage of disabled individuals in Saint marys at 21.0% 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 | Saint marys |
|---|---|---|
| No Schooling | 3.1% (2,711) | 0.0% (Data is updating) |
| High School Diploma | 16.5% (14,503) | 34.4% (622) |
| Less than High School | 27.1% (23,842) | 15.7% (284) |
| Bachelor's Degree and Higher | 13.9% (12,220) | 15.0% (272) |
Education Levels Comparison: Waukegan vs Saint marys
- A higher percentage of residents in Waukegan have no formal schooling at 3.1% compared to 0.0% in Saint marys.
- In Saint marys, the rate of residents with high school diplomas is higher at 34.4% compared to 16.5% in Waukegan.
- More residents in Waukegan have less than a high school education at 27.1% compared to 15.7% in Saint marys.
- In Saint marys, a larger share of residents have a bachelor's degree or higher at 15.0% 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.