Demographics details for Cusseta, GA vs Lombard, IL
Population Overview
Compare main population characteristics in Cusseta, GA vs Lombard, IL.
| Data | Cusseta | Lombard |
|---|---|---|
| Population | 12,153 | 43,856 |
| Median Age | 35.0 years | 37.7 years |
| Median Income | $51,400 | $95,509 |
| Married Families | 31.0% | 44.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 4.5 | 5.2 |
Population Comparison: Cusseta vs Lombard
- The population in Lombard is higher at 43,856, compared to 12,153 in Cusseta.
- The median age in Lombard is higher at 37.7 years, compared to 35.0 years in Cusseta.
- Lombard has a higher median income of $95,509, compared to $51,400 in Cusseta.
- In Lombard, the percentage of married families is higher at 44.0%, compared to 31.0% in Cusseta.
- Cusseta has a higher poverty level at 15% compared to 5% in Lombard.
- Lombard has a higher unemployment rate at 5.2% compared to 4.5% in Cusseta.
Demographics
Demographics Cusseta vs Lombard provide insight into the diversity of the communities to compare.
| Demographic | Cusseta | Lombard |
|---|---|---|
| Black | 38 | 5 |
| White | 50 | 65 |
| Asian | 1 | 12 |
| Hispanic | 10 | 11 |
| Two or More Races | 1 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cusseta vs Lombard
- A higher percentage of Black residents are in Cusseta at 38% compared to 5% in Lombard.
- The percentage of White residents is higher in Lombard at 65% compared to 50% in Cusseta.
- In Lombard, the Asian population stands at 12%, greater than 1% in Cusseta.
- Lombard has a higher percentage of Hispanic residents at 11%, compared to 10% in Cusseta.
- The percentage of residents identifying as two or more races is higher in Lombard at 7%, compared to 1% in Cusseta.
- The percentage of American Indian residents is the same in both Cusseta and Lombard at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cusseta | Lombard |
|---|---|---|
| Mental Health Not Good | Data is updating% | 13.0% |
| Physical Health Not Good | Data is updating% | 8.5% |
| Depression | Data is updating% | 17.9% |
| Smoking | Data is updating% | 11.8% |
| Binge Drinking | Data is updating% | 16.7% |
| Obesity | Data is updating% | 30.9% |
| Disability Percentage | Data is updating% | 9.0% |
Health Statistics Comparison: Cusseta vs Lombard
- In Lombard, a higher percentage report poor mental health at 13.0% compared to 0.0% in Cusseta.
- Higher depression rates are seen in Lombard at 17.9% versus 0.0% in Cusseta.
- Lombard has a higher smoking rate at 11.8% compared to 0.0% in Cusseta.
- More residents engage in binge drinking in Lombard at 16.7% compared to 0.0% in Cusseta.
- Lombard has higher obesity rates at 30.9% compared to 0.0% in Cusseta.
- There is a higher percentage of disabled individuals in Lombard at 9.0% compared to 0.0% in Cusseta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cusseta | Lombard |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (166) |
| High School Diploma | 0.0% (Data is updating) | 13.2% (5,778) |
| Less than High School | 0.0% (Data is updating) | 3.9% (1,716) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 35.6% (15,594) |
Education Levels Comparison: Cusseta vs Lombard
- In Lombard, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Cusseta.
- In Lombard, the rate of residents with high school diplomas is higher at 13.2% compared to 0.0% in Cusseta.
- The percentage of residents with less than a high school education is higher in Lombard at 3.9%, compared to 0.0% in Cusseta.
- In Lombard, a larger share of residents have a bachelor's degree or higher at 35.6% compared to 0.0% in Cusseta.
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.