Demographics details for Winder, GA vs Marathon, IA
Population Overview
Compare main population characteristics in Winder, GA vs Marathon, IA.
| Data | Winder | Marathon |
|---|---|---|
| Population | 19,400 | 223 |
| Median Age | 36.4 years | 46.5 years |
| Median Income | $57,365 | $38,750 |
| Married Families | 34.0% | 42.0% |
| Poverty Level | 13% | 13% |
| Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Winder vs Marathon
- In Winder, the population is higher at 19,400, compared to 223 in Marathon.
- The median age in Marathon is higher at 46.5 years, compared to 36.4 years in Winder.
- Winder has a higher median income of $57,365 compared to $38,750 in Marathon.
- In Marathon, the percentage of married families is higher at 42.0%, compared to 34.0% in Winder.
- The poverty level is identical in both Winder and Marathon at 13%.
- The unemployment rate in Winder is higher at 3.5%, compared to 3.0% in Marathon.
Demographics
Demographics Winder vs Marathon provide insight into the diversity of the communities to compare.
| Demographic | Winder | Marathon |
|---|---|---|
| Black | 20 | Data is updating |
| White | 53 | 86 |
| Asian | 2 | Data is updating |
| Hispanic | 15 | 6 |
| Two or More Races | 10 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winder vs Marathon
- A higher percentage of Black residents are in Winder at 20% compared to 0% in Marathon.
- The percentage of White residents is higher in Marathon at 86% compared to 53% in Winder.
- The Asian population is larger in Winder at 2% compared to 0% in Marathon.
- The Hispanic community is larger in Winder at 15% compared to 6% in Marathon.
- More residents identify as two or more races in Winder at 10% compared to 8% in Marathon.
- The percentage of American Indian residents is the same in both Winder and Marathon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winder | Marathon |
|---|---|---|
| Mental Health Not Good | 17.9% | 14.5% |
| Physical Health Not Good | 12.9% | 9.4% |
| Depression | 22.6% | 16.0% |
| Smoking | 19.8% | 17.3% |
| Binge Drinking | 15.5% | 21.5% |
| Obesity | 40.9% | 33.9% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Winder vs Marathon
- More residents in Winder report poor mental health at 17.9% compared to 14.5% in Marathon.
- Depression is more prevalent in Winder at 22.6% compared to 16.0% in Marathon.
- Smoking is more prevalent in Winder at 19.8% compared to 17.3% in Marathon.
- More residents engage in binge drinking in Marathon at 21.5% compared to 15.5% in Winder.
- Obesity rates are higher in Winder at 40.9% compared to 33.9% in Marathon.
- There is a higher percentage of disabled individuals in Marathon at 17.0% compared to 14.0% in Winder.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winder | Marathon |
|---|---|---|
| No Schooling | 1.2% (240) | 1.3% (3) |
| High School Diploma | 15.8% (3,070) | 23.8% (53) |
| Less than High School | 14.0% (2,718) | 13.9% (31) |
| Bachelor's Degree and Higher | 13.0% (2,516) | 9.0% (20) |
Education Levels Comparison: Winder vs Marathon
- In Marathon, a larger percentage of residents lack formal schooling at 1.3% compared to 1.2% in Winder.
- In Marathon, the rate of residents with high school diplomas is higher at 23.8% compared to 15.8% in Winder.
- More residents in Winder have less than a high school education at 14.0% compared to 13.9% in Marathon.
- A higher percentage of residents in Winder hold a bachelor's degree or higher at 13.0% 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.