Demographics details for Marathon, IA vs Plainfield, IL
Population Overview
Compare main population characteristics in Marathon, IA vs Plainfield, IL.
| Data | Marathon | Plainfield |
|---|---|---|
| Population | 223 | 46,243 |
| Median Age | 46.5 years | 37.7 years |
| Median Income | $38,750 | $143,064 |
| Married Families | 42.0% | 46.0% |
| Poverty Level | 13% | 7% |
| Unemployment Rate | 3.0 | 5.6 |
Population Comparison: Marathon vs Plainfield
- The population in Plainfield is higher at 46,243, compared to 223 in Marathon.
- Residents in Marathon have a higher median age of 46.5 years compared to 37.7 years in Plainfield.
- Plainfield has a higher median income of $143,064, compared to $38,750 in Marathon.
- In Plainfield, the percentage of married families is higher at 46.0%, compared to 42.0% in Marathon.
- Marathon has a higher poverty level at 13% compared to 7% in Plainfield.
- Plainfield has a higher unemployment rate at 5.6% compared to 3.0% in Marathon.
Demographics
Demographics Marathon vs Plainfield provide insight into the diversity of the communities to compare.
| Demographic | Marathon | Plainfield |
|---|---|---|
| Black | Data is updating | 9 |
| White | 86 | 69 |
| Asian | Data is updating | 9 |
| Hispanic | 6 | 8 |
| Two or More Races | 8 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marathon vs Plainfield
- In Plainfield, the percentage of Black residents is higher at 9% compared to 0% in Marathon.
- Marathon has a higher percentage of White residents at 86% compared to 69% in Plainfield.
- In Plainfield, the Asian population stands at 9%, greater than 0% in Marathon.
- Plainfield has a higher percentage of Hispanic residents at 8%, compared to 6% in Marathon.
- More residents identify as two or more races in Marathon at 8% compared to 5% in Plainfield.
- The percentage of American Indian residents is the same in both Marathon and Plainfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marathon | Plainfield |
|---|---|---|
| Mental Health Not Good | 14.5% | 12.7% |
| Physical Health Not Good | 9.4% | 8.0% |
| Depression | 16.0% | 17.8% |
| Smoking | 17.3% | 10.8% |
| Binge Drinking | 21.5% | 17.9% |
| Obesity | 33.9% | 30.4% |
| Disability Percentage | 17.0% | 8.0% |
Health Statistics Comparison: Marathon vs Plainfield
- More residents in Marathon report poor mental health at 14.5% compared to 12.7% in Plainfield.
- Higher depression rates are seen in Plainfield at 17.8% versus 16.0% in Marathon.
- Smoking is more prevalent in Marathon at 17.3% compared to 10.8% in Plainfield.
- Binge drinking is more common in Marathon at 21.5% compared to 17.9% in Plainfield.
- Obesity rates are higher in Marathon at 33.9% compared to 30.4% in Plainfield.
- Disability percentages are higher in Marathon at 17.0% compared to 8.0% in Plainfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marathon | Plainfield |
|---|---|---|
| No Schooling | 1.3% (3) | 0.5% (213) |
| High School Diploma | 23.8% (53) | 8.9% (4,121) |
| Less than High School | 13.9% (31) | 4.8% (2,237) |
| Bachelor's Degree and Higher | 9.0% (20) | 33.1% (15,293) |
Education Levels Comparison: Marathon vs Plainfield
- A higher percentage of residents in Marathon have no formal schooling at 1.3% compared to 0.5% in Plainfield.
- A higher percentage of residents in Marathon hold a high school diploma at 23.8% compared to 8.9% in Plainfield.
- More residents in Marathon have less than a high school education at 13.9% compared to 4.8% in Plainfield.
- In Plainfield, a larger share of residents have a bachelor's degree or higher at 33.1% 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.