Demographics details for Lombard, IL vs Westminster, MD
Population Overview
Compare main population characteristics in Lombard, IL vs Westminster, MD.
| Data | Lombard | Westminster |
|---|---|---|
| Population | 43,856 | 20,393 |
| Median Age | 37.7 years | 37.3 years |
| Median Income | $95,509 | $71,286 |
| Married Families | 44.0% | 37.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Lombard vs Westminster
- In Lombard, the population is higher at 43,856, compared to 20,393 in Westminster.
- Residents in Lombard have a higher median age of 37.7 years compared to 37.3 years in Westminster.
- Lombard has a higher median income of $95,509 compared to $71,286 in Westminster.
- A higher percentage of married families is found in Lombard at 44.0% compared to 37.0% in Westminster.
- The poverty level is identical in both Lombard and Westminster at 5%.
- The unemployment rate in Lombard is higher at 5.2%, compared to 3.5% in Westminster.
Demographics
Demographics Lombard vs Westminster provide insight into the diversity of the communities to compare.
| Demographic | Lombard | Westminster |
|---|---|---|
| Black | 5 | 7 |
| White | 65 | 77 |
| Asian | 12 | 3 |
| Hispanic | 11 | 6 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lombard vs Westminster
- In Westminster, the percentage of Black residents is higher at 7% compared to 5% in Lombard.
- The percentage of White residents is higher in Westminster at 77% compared to 65% in Lombard.
- The Asian population is larger in Lombard at 12% compared to 3% in Westminster.
- The Hispanic community is larger in Lombard at 11% compared to 6% in Westminster.
- Both Lombard and Westminster have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Lombard and Westminster at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lombard | Westminster |
|---|---|---|
| Mental Health Not Good | 13.0% | 15.3% |
| Physical Health Not Good | 8.5% | 9.2% |
| Depression | 17.9% | 20.8% |
| Smoking | 11.8% | 13.6% |
| Binge Drinking | 16.7% | 17.5% |
| Obesity | 30.9% | 32.4% |
| Disability Percentage | 9.0% | 16.0% |
Health Statistics Comparison: Lombard vs Westminster
- In Westminster, a higher percentage report poor mental health at 15.3% compared to 13.0% in Lombard.
- Higher depression rates are seen in Westminster at 20.8% versus 17.9% in Lombard.
- Westminster has a higher smoking rate at 13.6% compared to 11.8% in Lombard.
- More residents engage in binge drinking in Westminster at 17.5% compared to 16.7% in Lombard.
- Westminster has higher obesity rates at 32.4% compared to 30.9% in Lombard.
- There is a higher percentage of disabled individuals in Westminster at 16.0% 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 | Lombard | Westminster |
|---|---|---|
| No Schooling | 0.4% (166) | 0.7% (137) |
| High School Diploma | 13.2% (5,778) | 16.2% (3,301) |
| Less than High School | 3.9% (1,716) | 13.1% (2,677) |
| Bachelor's Degree and Higher | 35.6% (15,594) | 23.5% (4,789) |
Education Levels Comparison: Lombard vs Westminster
- In Westminster, a larger percentage of residents lack formal schooling at 0.7% compared to 0.4% in Lombard.
- In Westminster, the rate of residents with high school diplomas is higher at 16.2% compared to 13.2% in Lombard.
- The percentage of residents with less than a high school education is higher in Westminster at 13.1%, compared to 3.9% in Lombard.
- A higher percentage of residents in Lombard hold a bachelor's degree or higher at 35.6% compared to 23.5% in Westminster.
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.