Demographics details for Marathon, IA vs Forest park, GA
Population Overview
Compare main population characteristics in Marathon, IA vs Forest park, GA.
| Data | Marathon | Forest park |
|---|---|---|
| Population | 223 | 19,400 |
| Median Age | 46.5 years | 31.3 years |
| Median Income | $38,750 | $41,837 |
| Married Families | 42.0% | 23.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 3.0 | 4.5 |
Population Comparison: Marathon vs Forest park
- The population in Forest park is higher at 19,400, compared to 223 in Marathon.
- Residents in Marathon have a higher median age of 46.5 years compared to 31.3 years in Forest park.
- Forest park has a higher median income of $41,837, compared to $38,750 in Marathon.
- A higher percentage of married families is found in Marathon at 42.0% compared to 23.0% in Forest park.
- Marathon has a higher poverty level at 13% compared to 10% in Forest park.
- Forest park has a higher unemployment rate at 4.5% compared to 3.0% in Marathon.
Demographics
Demographics Marathon vs Forest park provide insight into the diversity of the communities to compare.
| Demographic | Marathon | Forest park |
|---|---|---|
| Black | Data is updating | 55 |
| White | 86 | 8 |
| Asian | Data is updating | 6 |
| Hispanic | 6 | 23 |
| Two or More Races | 8 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marathon vs Forest park
- In Forest park, the percentage of Black residents is higher at 55% compared to 0% in Marathon.
- Marathon has a higher percentage of White residents at 86% compared to 8% in Forest park.
- In Forest park, the Asian population stands at 6%, greater than 0% in Marathon.
- Forest park has a higher percentage of Hispanic residents at 23%, compared to 6% in Marathon.
- Both Marathon and Forest park have the same percentage of residents identifying as two or more races at 8%.
- The percentage of American Indian residents is the same in both Marathon and Forest park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marathon | Forest park |
|---|---|---|
| Mental Health Not Good | 14.5% | 18.3% |
| Physical Health Not Good | 9.4% | 16.0% |
| Depression | 16.0% | 17.8% |
| Smoking | 17.3% | 22.7% |
| Binge Drinking | 21.5% | 13.3% |
| Obesity | 33.9% | 43.0% |
| Disability Percentage | 17.0% | 15.0% |
Health Statistics Comparison: Marathon vs Forest park
- In Forest park, a higher percentage report poor mental health at 18.3% compared to 14.5% in Marathon.
- Higher depression rates are seen in Forest park at 17.8% versus 16.0% in Marathon.
- Forest park has a higher smoking rate at 22.7% compared to 17.3% in Marathon.
- Binge drinking is more common in Marathon at 21.5% compared to 13.3% in Forest park.
- Forest park has higher obesity rates at 43.0% compared to 33.9% in Marathon.
- Disability percentages are higher in Marathon at 17.0% compared to 15.0% in Forest park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marathon | Forest park |
|---|---|---|
| No Schooling | 1.3% (3) | 2.6% (504) |
| High School Diploma | 23.8% (53) | 18.4% (3,567) |
| Less than High School | 13.9% (31) | 21.7% (4,202) |
| Bachelor's Degree and Higher | 9.0% (20) | 6.4% (1,235) |
Education Levels Comparison: Marathon vs Forest park
- In Forest park, a larger percentage of residents lack formal schooling at 2.6% compared to 1.3% in Marathon.
- A higher percentage of residents in Marathon hold a high school diploma at 23.8% compared to 18.4% in Forest park.
- The percentage of residents with less than a high school education is higher in Forest park at 21.7%, compared to 13.9% in Marathon.
- A higher percentage of residents in Marathon hold a bachelor's degree or higher at 9.0% compared to 6.4% in Forest park.
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.