Demographics details for Marathon, IA vs Clearfield, PA
Population Overview
Compare main population characteristics in Marathon, IA vs Clearfield, PA.
| Data | Marathon | Clearfield |
|---|---|---|
| Population | 223 | 5,868 |
| Median Age | 46.5 years | 38.4 years |
| Median Income | $38,750 | $50,485 |
| Married Families | 42.0% | 28.0% |
| Poverty Level | 13% | 13% |
| Unemployment Rate | 3.0 | 4.2 |
Population Comparison: Marathon vs Clearfield
- The population in Clearfield is higher at 5,868, compared to 223 in Marathon.
- Residents in Marathon have a higher median age of 46.5 years compared to 38.4 years in Clearfield.
- Clearfield has a higher median income of $50,485, compared to $38,750 in Marathon.
- A higher percentage of married families is found in Marathon at 42.0% compared to 28.0% in Clearfield.
- The poverty level is identical in both Marathon and Clearfield at 13%.
- Clearfield has a higher unemployment rate at 4.2% compared to 3.0% in Marathon.
Demographics
Demographics Marathon vs Clearfield provide insight into the diversity of the communities to compare.
| Demographic | Marathon | Clearfield |
|---|---|---|
| Black | Data is updating | 1 |
| White | 86 | 94 |
| Asian | Data is updating | 1 |
| Hispanic | 6 | 1 |
| Two or More Races | 8 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marathon vs Clearfield
- In Clearfield, the percentage of Black residents is higher at 1% compared to 0% in Marathon.
- The percentage of White residents is higher in Clearfield at 94% compared to 86% in Marathon.
- In Clearfield, the Asian population stands at 1%, greater than 0% in Marathon.
- The Hispanic community is larger in Marathon at 6% compared to 1% in Clearfield.
- More residents identify as two or more races in Marathon at 8% compared to 3% in Clearfield.
- The percentage of American Indian residents is the same in both Marathon and Clearfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marathon | Clearfield |
|---|---|---|
| Mental Health Not Good | 14.5% | 19.2% |
| Physical Health Not Good | 9.4% | 13.7% |
| Depression | 16.0% | 24.4% |
| Smoking | 17.3% | 23.8% |
| Binge Drinking | 21.5% | 17.6% |
| Obesity | 33.9% | 38.7% |
| Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Marathon vs Clearfield
- In Clearfield, a higher percentage report poor mental health at 19.2% compared to 14.5% in Marathon.
- Higher depression rates are seen in Clearfield at 24.4% versus 16.0% in Marathon.
- Clearfield has a higher smoking rate at 23.8% compared to 17.3% in Marathon.
- Binge drinking is more common in Marathon at 21.5% compared to 17.6% in Clearfield.
- Clearfield has higher obesity rates at 38.7% compared to 33.9% in Marathon.
- Disability percentages are the same in both Marathon and Clearfield at 17.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marathon | Clearfield |
|---|---|---|
| No Schooling | 1.3% (3) | 0.5% (32) |
| High School Diploma | 23.8% (53) | 27.8% (1,629) |
| Less than High School | 13.9% (31) | 5.6% (329) |
| Bachelor's Degree and Higher | 9.0% (20) | 14.5% (851) |
Education Levels Comparison: Marathon vs Clearfield
- A higher percentage of residents in Marathon have no formal schooling at 1.3% compared to 0.5% in Clearfield.
- In Clearfield, the rate of residents with high school diplomas is higher at 27.8% compared to 23.8% in Marathon.
- More residents in Marathon have less than a high school education at 13.9% compared to 5.6% in Clearfield.
- In Clearfield, a larger share of residents have a bachelor's degree or higher at 14.5% 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.