Demographics details for Lombard, IL vs Lexington, KY
Population Overview
Compare main population characteristics in Lombard, IL vs Lexington, KY.
| Data | Lombard | Lexington |
|---|---|---|
| Population | 43,856 | 320,347 |
| Median Age | 37.7 years | 35.2 years |
| Median Income | $95,509 | $66,087 |
| Married Families | 44.0% | 36.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 5.2 | 4.2 |
Population Comparison: Lombard vs Lexington
- The population in Lexington is higher at 320,347, compared to 43,856 in Lombard.
- Residents in Lombard have a higher median age of 37.7 years compared to 35.2 years in Lexington.
- Lombard has a higher median income of $95,509 compared to $66,087 in Lexington.
- A higher percentage of married families is found in Lombard at 44.0% compared to 36.0% in Lexington.
- The poverty level is higher in Lexington at 11%, compared to 5% in Lombard.
- The unemployment rate in Lombard is higher at 5.2%, compared to 4.2% in Lexington.
Demographics
Demographics Lombard vs Lexington provide insight into the diversity of the communities to compare.
| Demographic | Lombard | Lexington |
|---|---|---|
| Black | 5 | 15 |
| White | 65 | 68 |
| Asian | 12 | 4 |
| Hispanic | 11 | 7 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lombard vs Lexington
- In Lexington, the percentage of Black residents is higher at 15% compared to 5% in Lombard.
- The percentage of White residents is higher in Lexington at 68% compared to 65% in Lombard.
- The Asian population is larger in Lombard at 12% compared to 4% in Lexington.
- The Hispanic community is larger in Lombard at 11% compared to 7% in Lexington.
- More residents identify as two or more races in Lombard at 7% compared to 6% in Lexington.
- The percentage of American Indian residents is the same in both Lombard and Lexington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lombard | Lexington |
|---|---|---|
| Mental Health Not Good | 13.0% | 17.1% |
| Physical Health Not Good | 8.5% | 12.0% |
| Depression | 17.9% | 24.0% |
| Smoking | 11.8% | 17.0% |
| Binge Drinking | 16.7% | 15.9% |
| Obesity | 30.9% | 36.0% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Lombard vs Lexington
- In Lexington, a higher percentage report poor mental health at 17.1% compared to 13.0% in Lombard.
- Higher depression rates are seen in Lexington at 24.0% versus 17.9% in Lombard.
- Lexington has a higher smoking rate at 17.0% compared to 11.8% in Lombard.
- Binge drinking is more common in Lombard at 16.7% compared to 15.9% in Lexington.
- Lexington has higher obesity rates at 36.0% compared to 30.9% in Lombard.
- There is a higher percentage of disabled individuals in Lexington at 12.0% 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 | Lexington |
|---|---|---|
| No Schooling | 0.4% (166) | 0.6% (2,032) |
| High School Diploma | 13.2% (5,778) | 9.9% (31,844) |
| Less than High School | 3.9% (1,716) | 8.7% (27,787) |
| Bachelor's Degree and Higher | 35.6% (15,594) | 30.4% (97,540) |
Education Levels Comparison: Lombard vs Lexington
- In Lexington, 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 9.9% in Lexington.
- The percentage of residents with less than a high school education is higher in Lexington at 8.7%, 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 30.4% in Lexington.
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.