Demographics details for Lombard, IL vs Virginia beach, VA
Population Overview
Compare main population characteristics in Lombard, IL vs Virginia beach, VA.
| Data | Lombard | Virginia beach |
|---|---|---|
| Population | 43,856 | 455,618 |
| Median Age | 37.7 years | 37.1 years |
| Median Income | $95,509 | $87,544 |
| Married Families | 44.0% | 42.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 5.2 | 2.8 |
Population Comparison: Lombard vs Virginia beach
- The population in Virginia beach is higher at 455,618, compared to 43,856 in Lombard.
- Residents in Lombard have a higher median age of 37.7 years compared to 37.1 years in Virginia beach.
- Lombard has a higher median income of $95,509 compared to $87,544 in Virginia beach.
- A higher percentage of married families is found in Lombard at 44.0% compared to 42.0% in Virginia beach.
- The poverty level is higher in Virginia beach at 10%, compared to 5% in Lombard.
- The unemployment rate in Lombard is higher at 5.2%, compared to 2.8% in Virginia beach.
Demographics
Demographics Lombard vs Virginia beach provide insight into the diversity of the communities to compare.
| Demographic | Lombard | Virginia beach |
|---|---|---|
| Black | 5 | 19 |
| White | 65 | 56 |
| Asian | 12 | 7 |
| Hispanic | 11 | 9 |
| Two or More Races | 7 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lombard vs Virginia beach
- In Virginia beach, the percentage of Black residents is higher at 19% compared to 5% in Lombard.
- Lombard has a higher percentage of White residents at 65% compared to 56% in Virginia beach.
- The Asian population is larger in Lombard at 12% compared to 7% in Virginia beach.
- The Hispanic community is larger in Lombard at 11% compared to 9% in Virginia beach.
- The percentage of residents identifying as two or more races is higher in Virginia beach at 9%, compared to 7% in Lombard.
- The percentage of American Indian residents is the same in both Lombard and Virginia beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lombard | Virginia beach |
|---|---|---|
| Mental Health Not Good | 13.0% | 14.5% |
| Physical Health Not Good | 8.5% | 9.3% |
| Depression | 17.9% | 20.4% |
| Smoking | 11.8% | 13.7% |
| Binge Drinking | 16.7% | 16.8% |
| Obesity | 30.9% | 31.5% |
| Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Lombard vs Virginia beach
- In Virginia beach, a higher percentage report poor mental health at 14.5% compared to 13.0% in Lombard.
- Higher depression rates are seen in Virginia beach at 20.4% versus 17.9% in Lombard.
- Virginia beach has a higher smoking rate at 13.7% compared to 11.8% in Lombard.
- More residents engage in binge drinking in Virginia beach at 16.8% compared to 16.7% in Lombard.
- Virginia beach has higher obesity rates at 31.5% compared to 30.9% in Lombard.
- There is a higher percentage of disabled individuals in Virginia beach at 11.0% 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 | Virginia beach |
|---|---|---|
| No Schooling | 0.4% (166) | 0.6% (2,931) |
| High School Diploma | 13.2% (5,778) | 11.8% (53,968) |
| Less than High School | 3.9% (1,716) | 6.0% (27,564) |
| Bachelor's Degree and Higher | 35.6% (15,594) | 27.6% (125,790) |
Education Levels Comparison: Lombard vs Virginia beach
- In Virginia beach, a larger percentage of residents lack formal schooling at 0.6% compared to 0.4% in Lombard.
- A higher percentage of residents in Lombard hold a high school diploma at 13.2% compared to 11.8% in Virginia beach.
- The percentage of residents with less than a high school education is higher in Virginia beach at 6.0%, 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 27.6% in Virginia beach.
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.