Demographics details for Lees summit, MO vs Lombard, IL
Population Overview
Compare main population characteristics in Lees summit, MO vs Lombard, IL.
Data | Lees summit | Lombard |
---|---|---|
Population | 103,465 | 43,856 |
Median Age | 38.6 years | 37.7 years |
Median Income | $103,447 | $95,509 |
Married Families | 45.0% | 44.0% |
Poverty Level | 5% | 5% |
Unemployment Rate | 3.3 | 5.2 |
Population Comparison: Lees summit vs Lombard
- In Lees summit, the population is higher at 103,465, compared to 43,856 in Lombard.
- Residents in Lees summit have a higher median age of 38.6 years compared to 37.7 years in Lombard.
- Lees summit has a higher median income of $103,447 compared to $95,509 in Lombard.
- A higher percentage of married families is found in Lees summit at 45.0% compared to 44.0% in Lombard.
- The poverty level is identical in both Lees summit and Lombard at 5%.
- Lombard has a higher unemployment rate at 5.2% compared to 3.3% in Lees summit.
Demographics
Demographics Lees summit vs Lombard provide insight into the diversity of the communities to compare.
Demographic | Lees summit | Lombard |
---|---|---|
Black | 9 | 5 |
White | 78 | 65 |
Asian | 2 | 12 |
Hispanic | 5 | 11 |
Two or More Races | 6 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lees summit vs Lombard
- A higher percentage of Black residents are in Lees summit at 9% compared to 5% in Lombard.
- Lees summit has a higher percentage of White residents at 78% compared to 65% in Lombard.
- In Lombard, the Asian population stands at 12%, greater than 2% in Lees summit.
- Lombard has a higher percentage of Hispanic residents at 11%, compared to 5% in Lees summit.
- The percentage of residents identifying as two or more races is higher in Lombard at 7%, compared to 6% in Lees summit.
- The percentage of American Indian residents is the same in both Lees summit and Lombard at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lees summit | Lombard |
---|---|---|
Mental Health Not Good | 16.0% | 13.0% |
Physical Health Not Good | 9.2% | 8.5% |
Depression | 21.8% | 17.9% |
Smoking | 13.1% | 11.8% |
Binge Drinking | 21.7% | 16.7% |
Obesity | 33.2% | 30.9% |
Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Lees summit vs Lombard
- More residents in Lees summit report poor mental health at 16.0% compared to 13.0% in Lombard.
- Depression is more prevalent in Lees summit at 21.8% compared to 17.9% in Lombard.
- Smoking is more prevalent in Lees summit at 13.1% compared to 11.8% in Lombard.
- Binge drinking is more common in Lees summit at 21.7% compared to 16.7% in Lombard.
- Obesity rates are higher in Lees summit at 33.2% compared to 30.9% in Lombard.
- Disability percentages are the same in both Lees summit and Lombard at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lees summit | Lombard |
---|---|---|
No Schooling | 0.3% (298) | 0.4% (166) |
High School Diploma | 11.1% (11,521) | 13.2% (5,778) |
Less than High School | 3.2% (3,308) | 3.9% (1,716) |
Bachelor's Degree and Higher | 32.3% (33,401) | 35.6% (15,594) |
Education Levels Comparison: Lees summit vs Lombard
- In Lombard, a larger percentage of residents lack formal schooling at 0.4% compared to 0.3% in Lees summit.
- In Lombard, the rate of residents with high school diplomas is higher at 13.2% compared to 11.1% in Lees summit.
- The percentage of residents with less than a high school education is higher in Lombard at 3.9%, compared to 3.2% in Lees summit.
- In Lombard, a larger share of residents have a bachelor's degree or higher at 35.6% compared to 32.3% in Lees summit.
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.