Demographics details for Marathon, IA vs Moran, WY
Population Overview
Compare main population characteristics in Marathon, IA vs Moran, WY.
| Data | Marathon | Moran |
|---|---|---|
| Population | 223 | 47 |
| Median Age | 46.5 years | 47.0 years |
| Median Income | $38,750 | $75,000 |
| Married Families | 42.0% | 24.0% |
| Poverty Level | 13% | Data is updating |
| Unemployment Rate | 3.0 | 2.5 |
Population Comparison: Marathon vs Moran
- In Marathon, the population is higher at 223, compared to 47 in Moran.
- The median age in Moran is higher at 47.0 years, compared to 46.5 years in Marathon.
- Moran has a higher median income of $75,000, compared to $38,750 in Marathon.
- A higher percentage of married families is found in Marathon at 42.0% compared to 24.0% in Moran.
- Marathon has a higher poverty level at 13% compared to 0% in Moran.
- The unemployment rate in Marathon is higher at 3.0%, compared to 2.5% in Moran.
Demographics
Demographics Marathon vs Moran provide insight into the diversity of the communities to compare.
| Demographic | Marathon | Moran |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 86 | 98.3 |
| Asian | Data is updating | 1.7 |
| 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 Moran
- The percentage of Black residents is the same in both Marathon and Moran at 0%.
- The percentage of White residents is higher in Moran at 98.3% compared to 86% in Marathon.
- In Moran, the Asian population stands at 1.7%, greater than 0% in Marathon.
- The Hispanic community is larger in Marathon at 6% compared to 0% in Moran.
- More residents identify as two or more races in Marathon at 8% compared to 0% in Moran.
- The percentage of American Indian residents is the same in both Marathon and Moran at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marathon | Moran |
|---|---|---|
| Mental Health Not Good | 14.5% | Data is updating% |
| Physical Health Not Good | 9.4% | Data is updating% |
| Depression | 16.0% | Data is updating% |
| Smoking | 17.3% | Data is updating% |
| Binge Drinking | 21.5% | Data is updating% |
| Obesity | 33.9% | Data is updating% |
| Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Marathon vs Moran
- More residents in Marathon report poor mental health at 14.5% compared to 0.0% in Moran.
- Depression is more prevalent in Marathon at 16.0% compared to 0.0% in Moran.
- Smoking is more prevalent in Marathon at 17.3% compared to 0.0% in Moran.
- Binge drinking is more common in Marathon at 21.5% compared to 0.0% in Moran.
- Obesity rates are higher in Marathon at 33.9% compared to 0.0% in Moran.
- Disability percentages are higher in Marathon at 17.0% compared to 0.0% in Moran.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marathon | Moran |
|---|---|---|
| No Schooling | 1.3% (3) | 0.0% (Data is updating) |
| High School Diploma | 23.8% (53) | 0.0% (Data is updating) |
| Less than High School | 13.9% (31) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 9.0% (20) | 0.0% (Data is updating) |
Education Levels Comparison: Marathon vs Moran
- A higher percentage of residents in Marathon have no formal schooling at 1.3% compared to 0.0% in Moran.
- A higher percentage of residents in Marathon hold a high school diploma at 23.8% compared to 0.0% in Moran.
- More residents in Marathon have less than a high school education at 13.9% compared to 0.0% in Moran.
- A higher percentage of residents in Marathon hold a bachelor's degree or higher at 9.0% compared to 0.0% in Moran.
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.