Demographics details for Dixon, CA vs Marathon, IA
Population Overview
Compare main population characteristics in Dixon, CA vs Marathon, IA.
| Data | Dixon | Marathon |
|---|---|---|
| Population | 19,143 | 223 |
| Median Age | 33.5 years | 46.5 years |
| Median Income | $92,138 | $38,750 |
| Married Families | 38.0% | 42.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 5.2 | 3.0 |
Population Comparison: Dixon vs Marathon
- In Dixon, the population is higher at 19,143, compared to 223 in Marathon.
- The median age in Marathon is higher at 46.5 years, compared to 33.5 years in Dixon.
- Dixon has a higher median income of $92,138 compared to $38,750 in Marathon.
- In Marathon, the percentage of married families is higher at 42.0%, compared to 38.0% in Dixon.
- The poverty level is higher in Marathon at 13%, compared to 10% in Dixon.
- The unemployment rate in Dixon is higher at 5.2%, compared to 3.0% in Marathon.
Demographics
Demographics Dixon vs Marathon provide insight into the diversity of the communities to compare.
| Demographic | Dixon | Marathon |
|---|---|---|
| Black | 2 | Data is updating |
| White | 40 | 86 |
| Asian | 3 | Data is updating |
| Hispanic | 41 | 6 |
| Two or More Races | 14 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dixon vs Marathon
- A higher percentage of Black residents are in Dixon at 2% compared to 0% in Marathon.
- The percentage of White residents is higher in Marathon at 86% compared to 40% in Dixon.
- The Asian population is larger in Dixon at 3% compared to 0% in Marathon.
- The Hispanic community is larger in Dixon at 41% compared to 6% in Marathon.
- More residents identify as two or more races in Dixon at 14% compared to 8% in Marathon.
- The percentage of American Indian residents is the same in both Dixon and Marathon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dixon | Marathon |
|---|---|---|
| Mental Health Not Good | 16.7% | 14.5% |
| Physical Health Not Good | 11.7% | 9.4% |
| Depression | 19.8% | 16.0% |
| Smoking | 12.9% | 17.3% |
| Binge Drinking | 17.2% | 21.5% |
| Obesity | 31.6% | 33.9% |
| Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Dixon vs Marathon
- More residents in Dixon report poor mental health at 16.7% compared to 14.5% in Marathon.
- Depression is more prevalent in Dixon at 19.8% compared to 16.0% in Marathon.
- Marathon has a higher smoking rate at 17.3% compared to 12.9% in Dixon.
- More residents engage in binge drinking in Marathon at 21.5% compared to 17.2% in Dixon.
- Marathon has higher obesity rates at 33.9% compared to 31.6% in Dixon.
- There is a higher percentage of disabled individuals in Marathon at 17.0% compared to 11.0% in Dixon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dixon | Marathon |
|---|---|---|
| No Schooling | 2.0% (380) | 1.3% (3) |
| High School Diploma | 15.7% (3,013) | 23.8% (53) |
| Less than High School | 18.1% (3,473) | 13.9% (31) |
| Bachelor's Degree and Higher | 14.1% (2,695) | 9.0% (20) |
Education Levels Comparison: Dixon vs Marathon
- A higher percentage of residents in Dixon have no formal schooling at 2.0% compared to 1.3% in Marathon.
- In Marathon, the rate of residents with high school diplomas is higher at 23.8% compared to 15.7% in Dixon.
- More residents in Dixon have less than a high school education at 18.1% compared to 13.9% in Marathon.
- A higher percentage of residents in Dixon hold a bachelor's degree or higher at 14.1% 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.