Demographics details for Eatonton, GA vs Dayton, OH
Population Overview
Compare main population characteristics in Eatonton, GA vs Dayton, OH.
| Data | Eatonton | Dayton |
|---|---|---|
| Population | 6,545 | 135,944 |
| Median Age | 41.1 years | 34.0 years |
| Median Income | $53,870 | $41,443 |
| Married Families | 37.0% | 21.0% |
| Poverty Level | 14% | 18% |
| Unemployment Rate | 3.9 | 6.8 |
Population Comparison: Eatonton vs Dayton
- The population in Dayton is higher at 135,944, compared to 6,545 in Eatonton.
- Residents in Eatonton have a higher median age of 41.1 years compared to 34.0 years in Dayton.
- Eatonton has a higher median income of $53,870 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Eatonton at 37.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 14% in Eatonton.
- Dayton has a higher unemployment rate at 6.8% compared to 3.9% in Eatonton.
Demographics
Demographics Eatonton vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Eatonton | Dayton |
|---|---|---|
| Black | 56 | 38 |
| White | 44 | 50 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 5 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Eatonton vs Dayton
- A higher percentage of Black residents are in Eatonton at 56% compared to 38% in Dayton.
- The percentage of White residents is higher in Dayton at 50% compared to 44% in Eatonton.
- In Dayton, the Asian population stands at 1%, greater than 0% in Eatonton.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 0% in Eatonton.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 0% in Eatonton.
- The percentage of American Indian residents is the same in both Eatonton and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Eatonton | Dayton |
|---|---|---|
| Mental Health Not Good | 19.3% | 21.9% |
| Physical Health Not Good | 15.1% | 16.5% |
| Depression | 20.6% | 26.5% |
| Smoking | 22.9% | 26.0% |
| Binge Drinking | 12.8% | 15.2% |
| Obesity | 43.6% | 47.6% |
| Disability Percentage | 22.0% | 18.0% |
Health Statistics Comparison: Eatonton vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 19.3% in Eatonton.
- Higher depression rates are seen in Dayton at 26.5% versus 20.6% in Eatonton.
- Dayton has a higher smoking rate at 26.0% compared to 22.9% in Eatonton.
- More residents engage in binge drinking in Dayton at 15.2% compared to 12.8% in Eatonton.
- Dayton has higher obesity rates at 47.6% compared to 43.6% in Eatonton.
- Disability percentages are higher in Eatonton at 22.0% compared to 18.0% in Dayton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Eatonton | Dayton |
|---|---|---|
| No Schooling | 0.2% (10) | 0.9% (1,157) |
| High School Diploma | 27.1% (1,772) | 16.3% (22,101) |
| Less than High School | 6.1% (402) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 13.7% (895) | 12.7% (17,260) |
Education Levels Comparison: Eatonton vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 0.9% compared to 0.2% in Eatonton.
- A higher percentage of residents in Eatonton hold a high school diploma at 27.1% compared to 16.3% in Dayton.
- The percentage of residents with less than a high school education is higher in Dayton at 13.9%, compared to 6.1% in Eatonton.
- A higher percentage of residents in Eatonton hold a bachelor's degree or higher at 13.7% compared to 12.7% in Dayton.
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.