Demographics details for Marathon, IA vs Volant, PA
Population Overview
Compare main population characteristics in Marathon, IA vs Volant, PA.
| Data | Marathon | Volant |
|---|---|---|
| Population | 223 | 125 |
| Median Age | 46.5 years | 55.8 years |
| Median Income | $38,750 | $64,375 |
| Married Families | 42.0% | 28.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Marathon vs Volant
- In Marathon, the population is higher at 223, compared to 125 in Volant.
- The median age in Volant is higher at 55.8 years, compared to 46.5 years in Marathon.
- Volant has a higher median income of $64,375, compared to $38,750 in Marathon.
- A higher percentage of married families is found in Marathon at 42.0% compared to 28.0% in Volant.
- Marathon has a higher poverty level at 13% compared to 10% in Volant.
- Volant has a higher unemployment rate at 3.5% compared to 3.0% in Marathon.
Demographics
Demographics Marathon vs Volant provide insight into the diversity of the communities to compare.
| Demographic | Marathon | Volant |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 86 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 6 | Data is updating |
| Two or More Races | 8 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marathon vs Volant
- The percentage of Black residents is the same in both Marathon and Volant at 0%.
- The percentage of White residents is higher in Volant at 100% compared to 86% in Marathon.
- Both Marathon and Volant have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Marathon at 6% compared to 0% in Volant.
- More residents identify as two or more races in Marathon at 8% compared to 0% in Volant.
- The percentage of American Indian residents is the same in both Marathon and Volant at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marathon | Volant |
|---|---|---|
| Mental Health Not Good | 14.5% | 16.5% |
| Physical Health Not Good | 9.4% | 10.4% |
| Depression | 16.0% | 23.9% |
| Smoking | 17.3% | 17.2% |
| Binge Drinking | 21.5% | 19.8% |
| Obesity | 33.9% | 33.5% |
| Disability Percentage | 17.0% | 4.0% |
Health Statistics Comparison: Marathon vs Volant
- In Volant, a higher percentage report poor mental health at 16.5% compared to 14.5% in Marathon.
- Higher depression rates are seen in Volant at 23.9% versus 16.0% in Marathon.
- Smoking is more prevalent in Marathon at 17.3% compared to 17.2% in Volant.
- Binge drinking is more common in Marathon at 21.5% compared to 19.8% in Volant.
- Obesity rates are higher in Marathon at 33.9% compared to 33.5% in Volant.
- Disability percentages are higher in Marathon at 17.0% compared to 4.0% in Volant.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marathon | Volant |
|---|---|---|
| No Schooling | 1.3% (3) | 0.0% (Data is updating) |
| High School Diploma | 23.8% (53) | 10.4% (13) |
| Less than High School | 13.9% (31) | 4.8% (6) |
| Bachelor's Degree and Higher | 9.0% (20) | 18.4% (23) |
Education Levels Comparison: Marathon vs Volant
- A higher percentage of residents in Marathon have no formal schooling at 1.3% compared to 0.0% in Volant.
- A higher percentage of residents in Marathon hold a high school diploma at 23.8% compared to 10.4% in Volant.
- More residents in Marathon have less than a high school education at 13.9% compared to 4.8% in Volant.
- In Volant, a larger share of residents have a bachelor's degree or higher at 18.4% 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.