Demographics details for Lombard, IL vs Mountain home, ID
Population Overview
Compare main population characteristics in Lombard, IL vs Mountain home, ID.
| Data | Lombard | Mountain home |
|---|---|---|
| Population | 43,856 | 16,469 |
| Median Age | 37.7 years | 31.3 years |
| Median Income | $95,509 | $53,108 |
| Married Families | 44.0% | 36.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 5.2 | 3.1 |
Population Comparison: Lombard vs Mountain home
- In Lombard, the population is higher at 43,856, compared to 16,469 in Mountain home.
- Residents in Lombard have a higher median age of 37.7 years compared to 31.3 years in Mountain home.
- Lombard has a higher median income of $95,509 compared to $53,108 in Mountain home.
- A higher percentage of married families is found in Lombard at 44.0% compared to 36.0% in Mountain home.
- The poverty level is higher in Mountain home at 12%, compared to 5% in Lombard.
- The unemployment rate in Lombard is higher at 5.2%, compared to 3.1% in Mountain home.
Demographics
Demographics Lombard vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Lombard | Mountain home |
|---|---|---|
| Black | 5 | 2 |
| White | 65 | 69 |
| Asian | 12 | 4 |
| Hispanic | 11 | 14 |
| Two or More Races | 7 | 9 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Lombard vs Mountain home
- A higher percentage of Black residents are in Lombard at 5% compared to 2% in Mountain home.
- The percentage of White residents is higher in Mountain home at 69% compared to 65% in Lombard.
- The Asian population is larger in Lombard at 12% compared to 4% in Mountain home.
- Mountain home has a higher percentage of Hispanic residents at 14%, compared to 11% in Lombard.
- The percentage of residents identifying as two or more races is higher in Mountain home at 9%, compared to 7% in Lombard.
- In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 0% in Lombard.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lombard | Mountain home |
|---|---|---|
| Mental Health Not Good | 13.0% | 16.9% |
| Physical Health Not Good | 8.5% | 12.6% |
| Depression | 17.9% | 22.4% |
| Smoking | 11.8% | 18.3% |
| Binge Drinking | 16.7% | 15.8% |
| Obesity | 30.9% | 36.1% |
| Disability Percentage | 9.0% | 18.0% |
Health Statistics Comparison: Lombard vs Mountain home
- In Mountain home, a higher percentage report poor mental health at 16.9% compared to 13.0% in Lombard.
- Higher depression rates are seen in Mountain home at 22.4% versus 17.9% in Lombard.
- Mountain home has a higher smoking rate at 18.3% compared to 11.8% in Lombard.
- Binge drinking is more common in Lombard at 16.7% compared to 15.8% in Mountain home.
- Mountain home has higher obesity rates at 36.1% compared to 30.9% in Lombard.
- There is a higher percentage of disabled individuals in Mountain home at 18.0% 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 | Mountain home |
|---|---|---|
| No Schooling | 0.4% (166) | 1.7% (273) |
| High School Diploma | 13.2% (5,778) | 16.3% (2,690) |
| Less than High School | 3.9% (1,716) | 12.8% (2,116) |
| Bachelor's Degree and Higher | 35.6% (15,594) | 10.4% (1,720) |
Education Levels Comparison: Lombard vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 1.7% compared to 0.4% in Lombard.
- In Mountain home, the rate of residents with high school diplomas is higher at 16.3% compared to 13.2% in Lombard.
- The percentage of residents with less than a high school education is higher in Mountain home 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 10.4% in Mountain home.
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.