Demographics details for Lombard, IL vs Dublin, GA
Population Overview
Compare main population characteristics in Lombard, IL vs Dublin, GA.
| Data | Lombard | Dublin |
|---|---|---|
| Population | 43,856 | 15,946 |
| Median Age | 37.7 years | 34.9 years |
| Median Income | $95,509 | $37,734 |
| Married Families | 44.0% | 25.0% |
| Poverty Level | 5% | 20% |
| Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Lombard vs Dublin
- In Lombard, the population is higher at 43,856, compared to 15,946 in Dublin.
- Residents in Lombard have a higher median age of 37.7 years compared to 34.9 years in Dublin.
- Lombard has a higher median income of $95,509 compared to $37,734 in Dublin.
- A higher percentage of married families is found in Lombard at 44.0% compared to 25.0% in Dublin.
- The poverty level is higher in Dublin at 20%, compared to 5% in Lombard.
- The unemployment rate in Lombard is higher at 5.2%, compared to 3.5% in Dublin.
Demographics
Demographics Lombard vs Dublin provide insight into the diversity of the communities to compare.
| Demographic | Lombard | Dublin |
|---|---|---|
| Black | 5 | 66 |
| White | 65 | 29 |
| Asian | 12 | 3 |
| Hispanic | 11 | 1 |
| Two or More Races | 7 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lombard vs Dublin
- In Dublin, the percentage of Black residents is higher at 66% compared to 5% in Lombard.
- Lombard has a higher percentage of White residents at 65% compared to 29% in Dublin.
- The Asian population is larger in Lombard at 12% compared to 3% in Dublin.
- The Hispanic community is larger in Lombard at 11% compared to 1% in Dublin.
- More residents identify as two or more races in Lombard at 7% compared to 1% in Dublin.
- The percentage of American Indian residents is the same in both Lombard and Dublin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lombard | Dublin |
|---|---|---|
| Mental Health Not Good | 13.0% | 19.8% |
| Physical Health Not Good | 8.5% | 15.4% |
| Depression | 17.9% | 22.1% |
| Smoking | 11.8% | 22.1% |
| Binge Drinking | 16.7% | 12.3% |
| Obesity | 30.9% | 43.4% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Lombard vs Dublin
- In Dublin, a higher percentage report poor mental health at 19.8% compared to 13.0% in Lombard.
- Higher depression rates are seen in Dublin at 22.1% versus 17.9% in Lombard.
- Dublin has a higher smoking rate at 22.1% compared to 11.8% in Lombard.
- Binge drinking is more common in Lombard at 16.7% compared to 12.3% in Dublin.
- Dublin has higher obesity rates at 43.4% compared to 30.9% in Lombard.
- There is a higher percentage of disabled individuals in Dublin 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 | Lombard | Dublin |
|---|---|---|
| No Schooling | 0.4% (166) | 1.0% (165) |
| High School Diploma | 13.2% (5,778) | 24.2% (3,864) |
| Less than High School | 3.9% (1,716) | 12.8% (2,046) |
| Bachelor's Degree and Higher | 35.6% (15,594) | 13.6% (2,168) |
Education Levels Comparison: Lombard vs Dublin
- In Dublin, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Lombard.
- In Dublin, the rate of residents with high school diplomas is higher at 24.2% compared to 13.2% in Lombard.
- The percentage of residents with less than a high school education is higher in Dublin at 12.8%, 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 13.6% in Dublin.
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.