Demographics details for Saint marys, WV vs Lombard, IL
Population Overview
Compare main population characteristics in Saint marys, WV vs Lombard, IL.
| Data | Saint marys | Lombard |
|---|---|---|
| Population | 1,808 | 43,856 |
| Median Age | 40.5 years | 37.7 years |
| Median Income | $53,125 | $95,509 |
| Married Families | 52.0% | 44.0% |
| Poverty Level | 11% | 5% |
| Unemployment Rate | 4.3 | 5.2 |
Population Comparison: Saint marys vs Lombard
- The population in Lombard is higher at 43,856, compared to 1,808 in Saint marys.
- Residents in Saint marys have a higher median age of 40.5 years compared to 37.7 years in Lombard.
- Lombard has a higher median income of $95,509, compared to $53,125 in Saint marys.
- A higher percentage of married families is found in Saint marys at 52.0% compared to 44.0% in Lombard.
- Saint marys has a higher poverty level at 11% compared to 5% in Lombard.
- Lombard has a higher unemployment rate at 5.2% compared to 4.3% in Saint marys.
Demographics
Demographics Saint marys vs Lombard provide insight into the diversity of the communities to compare.
| Demographic | Saint marys | Lombard |
|---|---|---|
| Black | Data is updating | 5 |
| White | 91 | 65 |
| Asian | Data is updating | 12 |
| Hispanic | 4 | 11 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Saint marys vs Lombard
- In Lombard, the percentage of Black residents is higher at 5% compared to 0% in Saint marys.
- Saint marys has a higher percentage of White residents at 91% compared to 65% in Lombard.
- In Lombard, the Asian population stands at 12%, greater than 0% in Saint marys.
- Lombard has a higher percentage of Hispanic residents at 11%, compared to 4% in Saint marys.
- The percentage of residents identifying as two or more races is higher in Lombard at 7%, compared to 5% in Saint marys.
- The percentage of American Indian residents is the same in both Saint marys and Lombard at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Saint marys | Lombard |
|---|---|---|
| Mental Health Not Good | 20.2% | 13.0% |
| Physical Health Not Good | 14.0% | 8.5% |
| Depression | 28.5% | 17.9% |
| Smoking | 22.0% | 11.8% |
| Binge Drinking | 14.5% | 16.7% |
| Obesity | 44.3% | 30.9% |
| Disability Percentage | 21.0% | 9.0% |
Health Statistics Comparison: Saint marys vs Lombard
- More residents in Saint marys report poor mental health at 20.2% compared to 13.0% in Lombard.
- Depression is more prevalent in Saint marys at 28.5% compared to 17.9% in Lombard.
- Smoking is more prevalent in Saint marys at 22.0% compared to 11.8% in Lombard.
- More residents engage in binge drinking in Lombard at 16.7% compared to 14.5% in Saint marys.
- Obesity rates are higher in Saint marys at 44.3% compared to 30.9% in Lombard.
- Disability percentages are higher in Saint marys at 21.0% compared to 9.0% in Lombard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Saint marys | Lombard |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (166) |
| High School Diploma | 34.4% (622) | 13.2% (5,778) |
| Less than High School | 15.7% (284) | 3.9% (1,716) |
| Bachelor's Degree and Higher | 15.0% (272) | 35.6% (15,594) |
Education Levels Comparison: Saint marys vs Lombard
- In Lombard, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Saint marys.
- A higher percentage of residents in Saint marys hold a high school diploma at 34.4% compared to 13.2% in Lombard.
- More residents in Saint marys have less than a high school education at 15.7% compared to 3.9% in Lombard.
- In Lombard, a larger share of residents have a bachelor's degree or higher at 35.6% compared to 15.0% in Saint marys.
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.