Demographics details for Marathon, IA vs Riverbank, CA
Population Overview
Compare main population characteristics in Marathon, IA vs Riverbank, CA.
| Data | Marathon | Riverbank |
|---|---|---|
| Population | 223 | 24,826 |
| Median Age | 46.5 years | 33.6 years |
| Median Income | $38,750 | $89,504 |
| Married Families | 42.0% | 38.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 3.0 | 5.2 |
Population Comparison: Marathon vs Riverbank
- The population in Riverbank is higher at 24,826, compared to 223 in Marathon.
- Residents in Marathon have a higher median age of 46.5 years compared to 33.6 years in Riverbank.
- Riverbank has a higher median income of $89,504, compared to $38,750 in Marathon.
- A higher percentage of married families is found in Marathon at 42.0% compared to 38.0% in Riverbank.
- Marathon has a higher poverty level at 13% compared to 10% in Riverbank.
- Riverbank has a higher unemployment rate at 5.2% compared to 3.0% in Marathon.
Demographics
Demographics Marathon vs Riverbank provide insight into the diversity of the communities to compare.
| Demographic | Marathon | Riverbank |
|---|---|---|
| Black | Data is updating | 1 |
| White | 86 | 13 |
| Asian | Data is updating | 6 |
| Hispanic | 6 | 55 |
| Two or More Races | 8 | 23 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Marathon vs Riverbank
- In Riverbank, the percentage of Black residents is higher at 1% compared to 0% in Marathon.
- Marathon has a higher percentage of White residents at 86% compared to 13% in Riverbank.
- In Riverbank, the Asian population stands at 6%, greater than 0% in Marathon.
- Riverbank has a higher percentage of Hispanic residents at 55%, compared to 6% in Marathon.
- The percentage of residents identifying as two or more races is higher in Riverbank at 23%, compared to 8% in Marathon.
- In Riverbank, the percentage of American Indian residents is higher at 2%, compared to 0% in Marathon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marathon | Riverbank |
|---|---|---|
| Mental Health Not Good | 14.5% | 17.2% |
| Physical Health Not Good | 9.4% | 13.2% |
| Depression | 16.0% | 21.0% |
| Smoking | 17.3% | 15.0% |
| Binge Drinking | 21.5% | 16.4% |
| Obesity | 33.9% | 35.0% |
| Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Marathon vs Riverbank
- In Riverbank, a higher percentage report poor mental health at 17.2% compared to 14.5% in Marathon.
- Higher depression rates are seen in Riverbank at 21.0% versus 16.0% in Marathon.
- Smoking is more prevalent in Marathon at 17.3% compared to 15.0% in Riverbank.
- Binge drinking is more common in Marathon at 21.5% compared to 16.4% in Riverbank.
- Riverbank has higher obesity rates at 35.0% compared to 33.9% in Marathon.
- Disability percentages are higher in Marathon at 17.0% compared to 10.0% in Riverbank.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marathon | Riverbank |
|---|---|---|
| No Schooling | 1.3% (3) | 3.1% (766) |
| High School Diploma | 23.8% (53) | 15.2% (3,764) |
| Less than High School | 13.9% (31) | 22.2% (5,505) |
| Bachelor's Degree and Higher | 9.0% (20) | 11.3% (2,804) |
Education Levels Comparison: Marathon vs Riverbank
- In Riverbank, a larger percentage of residents lack formal schooling at 3.1% compared to 1.3% in Marathon.
- A higher percentage of residents in Marathon hold a high school diploma at 23.8% compared to 15.2% in Riverbank.
- The percentage of residents with less than a high school education is higher in Riverbank at 22.2%, compared to 13.9% in Marathon.
- In Riverbank, a larger share of residents have a bachelor's degree or higher at 11.3% 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.