Demographics details for Franklin park, IL vs Marathon, IA
Population Overview
Compare main population characteristics in Franklin park, IL vs Marathon, IA.
| Data | Franklin park | Marathon |
|---|---|---|
| Population | 18,059 | 223 |
| Median Age | 36.5 years | 46.5 years |
| Median Income | $74,167 | $38,750 |
| Married Families | 36.0% | 42.0% |
| Poverty Level | 9% | 13% |
| Unemployment Rate | 5.1 | 3.0 |
Population Comparison: Franklin park vs Marathon
- In Franklin park, the population is higher at 18,059, compared to 223 in Marathon.
- The median age in Marathon is higher at 46.5 years, compared to 36.5 years in Franklin park.
- Franklin park has a higher median income of $74,167 compared to $38,750 in Marathon.
- In Marathon, the percentage of married families is higher at 42.0%, compared to 36.0% in Franklin park.
- The poverty level is higher in Marathon at 13%, compared to 9% in Franklin park.
- The unemployment rate in Franklin park is higher at 5.1%, compared to 3.0% in Marathon.
Demographics
Demographics Franklin park vs Marathon provide insight into the diversity of the communities to compare.
| Demographic | Franklin park | Marathon |
|---|---|---|
| Black | 1 | Data is updating |
| White | 10 | 86 |
| Asian | 5 | Data is updating |
| Hispanic | 59 | 6 |
| Two or More Races | 23 | 8 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Franklin park vs Marathon
- A higher percentage of Black residents are in Franklin park at 1% compared to 0% in Marathon.
- The percentage of White residents is higher in Marathon at 86% compared to 10% in Franklin park.
- The Asian population is larger in Franklin park at 5% compared to 0% in Marathon.
- The Hispanic community is larger in Franklin park at 59% compared to 6% in Marathon.
- More residents identify as two or more races in Franklin park at 23% compared to 8% in Marathon.
- A greater percentage of American Indian residents live in Franklin park at 2% compared to 0% in Marathon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin park | Marathon |
|---|---|---|
| Mental Health Not Good | 14.2% | 14.5% |
| Physical Health Not Good | 10.9% | 9.4% |
| Depression | 17.7% | 16.0% |
| Smoking | 14.4% | 17.3% |
| Binge Drinking | 18.9% | 21.5% |
| Obesity | 30.9% | 33.9% |
| Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Franklin park vs Marathon
- In Marathon, a higher percentage report poor mental health at 14.5% compared to 14.2% in Franklin park.
- Depression is more prevalent in Franklin park at 17.7% compared to 16.0% in Marathon.
- Marathon has a higher smoking rate at 17.3% compared to 14.4% in Franklin park.
- More residents engage in binge drinking in Marathon at 21.5% compared to 18.9% in Franklin park.
- Marathon has higher obesity rates at 33.9% compared to 30.9% in Franklin park.
- There is a higher percentage of disabled individuals in Marathon at 17.0% compared to 11.0% in Franklin park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin park | Marathon |
|---|---|---|
| No Schooling | 2.5% (453) | 1.3% (3) |
| High School Diploma | 17.0% (3,067) | 23.8% (53) |
| Less than High School | 30.2% (5,452) | 13.9% (31) |
| Bachelor's Degree and Higher | 12.7% (2,297) | 9.0% (20) |
Education Levels Comparison: Franklin park vs Marathon
- A higher percentage of residents in Franklin park have no formal schooling at 2.5% compared to 1.3% in Marathon.
- In Marathon, the rate of residents with high school diplomas is higher at 23.8% compared to 17.0% in Franklin park.
- More residents in Franklin park have less than a high school education at 30.2% compared to 13.9% in Marathon.
- A higher percentage of residents in Franklin park hold a bachelor's degree or higher at 12.7% compared to 9.0% in Marathon.
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.