Demographics details for Keyser, WV vs Lombard, IL
Population Overview
Compare main population characteristics in Keyser, WV vs Lombard, IL.
| Data | Keyser | Lombard |
|---|---|---|
| Population | 4,849 | 43,856 |
| Median Age | 39.1 years | 37.7 years |
| Median Income | $46,724 | $95,509 |
| Married Families | 36.0% | 44.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 4.3 | 5.2 |
Population Comparison: Keyser vs Lombard
- The population in Lombard is higher at 43,856, compared to 4,849 in Keyser.
- Residents in Keyser have a higher median age of 39.1 years compared to 37.7 years in Lombard.
- Lombard has a higher median income of $95,509, compared to $46,724 in Keyser.
- In Lombard, the percentage of married families is higher at 44.0%, compared to 36.0% in Keyser.
- Keyser has a higher poverty level at 15% compared to 5% in Lombard.
- Lombard has a higher unemployment rate at 5.2% compared to 4.3% in Keyser.
Demographics
Demographics Keyser vs Lombard provide insight into the diversity of the communities to compare.
| Demographic | Keyser | Lombard |
|---|---|---|
| Black | 4 | 5 |
| White | 95 | 65 |
| Asian | Data is updating | 12 |
| Hispanic | Data is updating | 11 |
| Two or More Races | 1 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Keyser vs Lombard
- In Lombard, the percentage of Black residents is higher at 5% compared to 4% in Keyser.
- Keyser has a higher percentage of White residents at 95% compared to 65% in Lombard.
- In Lombard, the Asian population stands at 12%, greater than 0% in Keyser.
- Lombard has a higher percentage of Hispanic residents at 11%, compared to 0% in Keyser.
- The percentage of residents identifying as two or more races is higher in Lombard at 7%, compared to 1% in Keyser.
- The percentage of American Indian residents is the same in both Keyser and Lombard at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Keyser | Lombard |
|---|---|---|
| Mental Health Not Good | 20.0% | 13.0% |
| Physical Health Not Good | 13.6% | 8.5% |
| Depression | 27.3% | 17.9% |
| Smoking | 20.8% | 11.8% |
| Binge Drinking | 14.4% | 16.7% |
| Obesity | 35.3% | 30.9% |
| Disability Percentage | 20.0% | 9.0% |
Health Statistics Comparison: Keyser vs Lombard
- More residents in Keyser report poor mental health at 20.0% compared to 13.0% in Lombard.
- Depression is more prevalent in Keyser at 27.3% compared to 17.9% in Lombard.
- Smoking is more prevalent in Keyser at 20.8% compared to 11.8% in Lombard.
- More residents engage in binge drinking in Lombard at 16.7% compared to 14.4% in Keyser.
- Obesity rates are higher in Keyser at 35.3% compared to 30.9% in Lombard.
- Disability percentages are higher in Keyser at 20.0% 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 | Keyser | Lombard |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (166) |
| High School Diploma | 22.3% (1,081) | 13.2% (5,778) |
| Less than High School | 15.1% (734) | 3.9% (1,716) |
| Bachelor's Degree and Higher | 18.8% (914) | 35.6% (15,594) |
Education Levels Comparison: Keyser vs Lombard
- In Lombard, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Keyser.
- A higher percentage of residents in Keyser hold a high school diploma at 22.3% compared to 13.2% in Lombard.
- More residents in Keyser have less than a high school education at 15.1% 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 18.8% in Keyser.
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.