Demographics details for Washington, KS vs Lombard, IL
Population Overview
Compare main population characteristics in Washington, KS vs Lombard, IL.
| Data | Washington | Lombard |
|---|---|---|
| Population | 5,501 | 43,856 |
| Median Age | 44.9 years | 37.7 years |
| Median Income | $59,432 | $95,509 |
| Married Families | 46.0% | 44.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.0 | 5.2 |
Population Comparison: Washington vs Lombard
- The population in Lombard is higher at 43,856, compared to 5,501 in Washington.
- Residents in Washington have a higher median age of 44.9 years compared to 37.7 years in Lombard.
- Lombard has a higher median income of $95,509, compared to $59,432 in Washington.
- A higher percentage of married families is found in Washington at 46.0% compared to 44.0% in Lombard.
- Washington has a higher poverty level at 12% compared to 5% in Lombard.
- Lombard has a higher unemployment rate at 5.2% compared to 3.0% in Washington.
Demographics
Demographics Washington vs Lombard provide insight into the diversity of the communities to compare.
| Demographic | Washington | Lombard |
|---|---|---|
| Black | Data is updating | 5 |
| White | 93 | 65 |
| Asian | 1 | 12 |
| Hispanic | 4 | 11 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Lombard
- In Lombard, the percentage of Black residents is higher at 5% compared to 0% in Washington.
- Washington has a higher percentage of White residents at 93% compared to 65% in Lombard.
- In Lombard, the Asian population stands at 12%, greater than 1% in Washington.
- Lombard has a higher percentage of Hispanic residents at 11%, compared to 4% in Washington.
- The percentage of residents identifying as two or more races is higher in Lombard at 7%, compared to 2% in Washington.
- The percentage of American Indian residents is the same in both Washington and Lombard at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Lombard |
|---|---|---|
| Mental Health Not Good | 15.8% | 13.0% |
| Physical Health Not Good | 10.1% | 8.5% |
| Depression | 20.9% | 17.9% |
| Smoking | 18.8% | 11.8% |
| Binge Drinking | 20.4% | 16.7% |
| Obesity | 42.1% | 30.9% |
| Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: Washington vs Lombard
- More residents in Washington report poor mental health at 15.8% compared to 13.0% in Lombard.
- Depression is more prevalent in Washington at 20.9% compared to 17.9% in Lombard.
- Smoking is more prevalent in Washington at 18.8% compared to 11.8% in Lombard.
- Binge drinking is more common in Washington at 20.4% compared to 16.7% in Lombard.
- Obesity rates are higher in Washington at 42.1% compared to 30.9% in Lombard.
- Disability percentages are higher in Washington at 14.0% 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 | Washington | Lombard |
|---|---|---|
| No Schooling | 0.8% (45) | 0.4% (166) |
| High School Diploma | 24.9% (1,368) | 13.2% (5,778) |
| Less than High School | 9.0% (494) | 3.9% (1,716) |
| Bachelor's Degree and Higher | 15.8% (869) | 35.6% (15,594) |
Education Levels Comparison: Washington vs Lombard
- A higher percentage of residents in Washington have no formal schooling at 0.8% compared to 0.4% in Lombard.
- A higher percentage of residents in Washington hold a high school diploma at 24.9% compared to 13.2% in Lombard.
- More residents in Washington have less than a high school education at 9.0% 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 15.8% in Washington.
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.