Demographics details for Fort payne, AL vs Lombard, IL
Population Overview
Compare main population characteristics in Fort payne, AL vs Lombard, IL.
| Data | Fort payne | Lombard |
|---|---|---|
| Population | 14,879 | 43,856 |
| Median Age | 39.7 years | 37.7 years |
| Median Income | $44,549 | $95,509 |
| Married Families | 38.0% | 44.0% |
| Poverty Level | 11% | 5% |
| Unemployment Rate | 2.5 | 5.2 |
Population Comparison: Fort payne vs Lombard
- The population in Lombard is higher at 43,856, compared to 14,879 in Fort payne.
- Residents in Fort payne have a higher median age of 39.7 years compared to 37.7 years in Lombard.
- Lombard has a higher median income of $95,509, compared to $44,549 in Fort payne.
- In Lombard, the percentage of married families is higher at 44.0%, compared to 38.0% in Fort payne.
- Fort payne has a higher poverty level at 11% compared to 5% in Lombard.
- Lombard has a higher unemployment rate at 5.2% compared to 2.5% in Fort payne.
Demographics
Demographics Fort payne vs Lombard provide insight into the diversity of the communities to compare.
| Demographic | Fort payne | Lombard |
|---|---|---|
| Black | 2 | 5 |
| White | 72 | 65 |
| Asian | Data is updating | 12 |
| Hispanic | 20 | 11 |
| Two or More Races | 4 | 7 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Fort payne vs Lombard
- In Lombard, the percentage of Black residents is higher at 5% compared to 2% in Fort payne.
- Fort payne has a higher percentage of White residents at 72% compared to 65% in Lombard.
- In Lombard, the Asian population stands at 12%, greater than 0% in Fort payne.
- The Hispanic community is larger in Fort payne at 20% compared to 11% in Lombard.
- The percentage of residents identifying as two or more races is higher in Lombard at 7%, compared to 4% in Fort payne.
- A greater percentage of American Indian residents live in Fort payne at 2% compared to 0% in Lombard.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fort payne | Lombard |
|---|---|---|
| Mental Health Not Good | 21.2% | 13.0% |
| Physical Health Not Good | 16.1% | 8.5% |
| Depression | 26.0% | 17.9% |
| Smoking | 23.3% | 11.8% |
| Binge Drinking | 14.3% | 16.7% |
| Obesity | 41.8% | 30.9% |
| Disability Percentage | 13.0% | 9.0% |
Health Statistics Comparison: Fort payne vs Lombard
- More residents in Fort payne report poor mental health at 21.2% compared to 13.0% in Lombard.
- Depression is more prevalent in Fort payne at 26.0% compared to 17.9% in Lombard.
- Smoking is more prevalent in Fort payne at 23.3% compared to 11.8% in Lombard.
- More residents engage in binge drinking in Lombard at 16.7% compared to 14.3% in Fort payne.
- Obesity rates are higher in Fort payne at 41.8% compared to 30.9% in Lombard.
- Disability percentages are higher in Fort payne at 13.0% 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 | Fort payne | Lombard |
|---|---|---|
| No Schooling | 2.7% (402) | 0.4% (166) |
| High School Diploma | 14.2% (2,110) | 13.2% (5,778) |
| Less than High School | 27.9% (4,155) | 3.9% (1,716) |
| Bachelor's Degree and Higher | 11.9% (1,767) | 35.6% (15,594) |
Education Levels Comparison: Fort payne vs Lombard
- A higher percentage of residents in Fort payne have no formal schooling at 2.7% compared to 0.4% in Lombard.
- A higher percentage of residents in Fort payne hold a high school diploma at 14.2% compared to 13.2% in Lombard.
- More residents in Fort payne have less than a high school education at 27.9% 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 11.9% in Fort payne.
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.