Demographics details for Lombard, IL vs Shelbyville, IN
Population Overview
Compare main population characteristics in Lombard, IL vs Shelbyville, IN.
Data | Lombard | Shelbyville |
---|---|---|
Population | 43,856 | 20,159 |
Median Age | 37.7 years | 35.6 years |
Median Income | $95,509 | $55,850 |
Married Families | 44.0% | 38.0% |
Poverty Level | 5% | 8% |
Unemployment Rate | 5.2 | 3.2 |
Population Comparison: Lombard vs Shelbyville
- In Lombard, the population is higher at 43,856, compared to 20,159 in Shelbyville.
- Residents in Lombard have a higher median age of 37.7 years compared to 35.6 years in Shelbyville.
- Lombard has a higher median income of $95,509 compared to $55,850 in Shelbyville.
- A higher percentage of married families is found in Lombard at 44.0% compared to 38.0% in Shelbyville.
- The poverty level is higher in Shelbyville at 8%, compared to 5% in Lombard.
- The unemployment rate in Lombard is higher at 5.2%, compared to 3.2% in Shelbyville.
Demographics
Demographics Lombard vs Shelbyville provide insight into the diversity of the communities to compare.
Demographic | Lombard | Shelbyville |
---|---|---|
Black | 5 | 3 |
White | 65 | 83 |
Asian | 12 | 2 |
Hispanic | 11 | 9 |
Two or More Races | 7 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lombard vs Shelbyville
- A higher percentage of Black residents are in Lombard at 5% compared to 3% in Shelbyville.
- The percentage of White residents is higher in Shelbyville at 83% compared to 65% in Lombard.
- The Asian population is larger in Lombard at 12% compared to 2% in Shelbyville.
- The Hispanic community is larger in Lombard at 11% compared to 9% in Shelbyville.
- More residents identify as two or more races in Lombard at 7% compared to 3% in Shelbyville.
- The percentage of American Indian residents is the same in both Lombard and Shelbyville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lombard | Shelbyville |
---|---|---|
Mental Health Not Good | 13.0% | 18.1% |
Physical Health Not Good | 8.5% | 12.6% |
Depression | 17.9% | 26.8% |
Smoking | 11.8% | 21.7% |
Binge Drinking | 16.7% | 16.4% |
Obesity | 30.9% | 41.5% |
Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: Lombard vs Shelbyville
- In Shelbyville, a higher percentage report poor mental health at 18.1% compared to 13.0% in Lombard.
- Higher depression rates are seen in Shelbyville at 26.8% versus 17.9% in Lombard.
- Shelbyville has a higher smoking rate at 21.7% compared to 11.8% in Lombard.
- Binge drinking is more common in Lombard at 16.7% compared to 16.4% in Shelbyville.
- Shelbyville has higher obesity rates at 41.5% compared to 30.9% in Lombard.
- There is a higher percentage of disabled individuals in Shelbyville at 15.0% 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 | Shelbyville |
---|---|---|
No Schooling | 0.4% (166) | 1.1% (212) |
High School Diploma | 13.2% (5,778) | 24.9% (5,016) |
Less than High School | 3.9% (1,716) | 17.0% (3,430) |
Bachelor's Degree and Higher | 35.6% (15,594) | 11.8% (2,384) |
Education Levels Comparison: Lombard vs Shelbyville
- In Shelbyville, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Lombard.
- In Shelbyville, the rate of residents with high school diplomas is higher at 24.9% compared to 13.2% in Lombard.
- The percentage of residents with less than a high school education is higher in Shelbyville at 17.0%, 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 11.8% in Shelbyville.
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.