Demographics details for Manhattan, KS vs Lombard, IL
Population Overview
Compare main population characteristics in Manhattan, KS vs Lombard, IL.
| Data | Manhattan | Lombard |
|---|---|---|
| Population | 53,829 | 43,856 |
| Median Age | 24.7 years | 37.7 years |
| Median Income | $55,316 | $95,509 |
| Married Families | 29.0% | 44.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 3.8 | 5.2 |
Population Comparison: Manhattan vs Lombard
- In Manhattan, the population is higher at 53,829, compared to 43,856 in Lombard.
- The median age in Lombard is higher at 37.7 years, compared to 24.7 years in Manhattan.
- Lombard has a higher median income of $95,509, compared to $55,316 in Manhattan.
- In Lombard, the percentage of married families is higher at 44.0%, compared to 29.0% in Manhattan.
- Manhattan has a higher poverty level at 15% compared to 5% in Lombard.
- Lombard has a higher unemployment rate at 5.2% compared to 3.8% in Manhattan.
Demographics
Demographics Manhattan vs Lombard provide insight into the diversity of the communities to compare.
| Demographic | Manhattan | Lombard |
|---|---|---|
| Black | 5 | 5 |
| White | 74 | 65 |
| Asian | 5 | 12 |
| Hispanic | 8 | 11 |
| Two or More Races | 7 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Manhattan vs Lombard
- The percentage of Black residents is the same in both Manhattan and Lombard at 5%.
- Manhattan has a higher percentage of White residents at 74% compared to 65% in Lombard.
- In Lombard, the Asian population stands at 12%, greater than 5% in Manhattan.
- Lombard has a higher percentage of Hispanic residents at 11%, compared to 8% in Manhattan.
- Both Manhattan and Lombard have the same percentage of residents identifying as two or more races at 7%.
- A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Lombard.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manhattan | Lombard |
|---|---|---|
| Mental Health Not Good | 15.7% | 13.0% |
| Physical Health Not Good | 10.1% | 8.5% |
| Depression | 20.2% | 17.9% |
| Smoking | 16.0% | 11.8% |
| Binge Drinking | 20.6% | 16.7% |
| Obesity | 32.2% | 30.9% |
| Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Manhattan vs Lombard
- More residents in Manhattan report poor mental health at 15.7% compared to 13.0% in Lombard.
- Depression is more prevalent in Manhattan at 20.2% compared to 17.9% in Lombard.
- Smoking is more prevalent in Manhattan at 16.0% compared to 11.8% in Lombard.
- Binge drinking is more common in Manhattan at 20.6% compared to 16.7% in Lombard.
- Obesity rates are higher in Manhattan at 32.2% compared to 30.9% in Lombard.
- Disability percentages are higher in Manhattan 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 | Manhattan | Lombard |
|---|---|---|
| No Schooling | 0.5% (256) | 0.4% (166) |
| High School Diploma | 5.8% (3,138) | 13.2% (5,778) |
| Less than High School | 4.2% (2,256) | 3.9% (1,716) |
| Bachelor's Degree and Higher | 26.0% (14,017) | 35.6% (15,594) |
Education Levels Comparison: Manhattan vs Lombard
- A higher percentage of residents in Manhattan have no formal schooling at 0.5% compared to 0.4% in Lombard.
- In Lombard, the rate of residents with high school diplomas is higher at 13.2% compared to 5.8% in Manhattan.
- More residents in Manhattan have less than a high school education at 4.2% compared to 3.9% in Lombard.
- In Lombard, a larger share of residents have a bachelor's degree or higher at 35.6% compared to 26.0% in Manhattan.
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.