Demographics details for New albany, OH vs Eatonton, GA
Population Overview
Compare main population characteristics in New albany, OH vs Eatonton, GA.
| Data | New albany | Eatonton |
|---|---|---|
| Population | 11,043 | 6,545 |
| Median Age | 40.9 years | 41.1 years |
| Median Income | $224,824 | $53,870 |
| Married Families | 51.0% | 37.0% |
| Poverty Level | 1% | 14% |
| Unemployment Rate | 3.2 | 3.9 |
Population Comparison: New albany vs Eatonton
- In New albany, the population is higher at 11,043, compared to 6,545 in Eatonton.
- The median age in Eatonton is higher at 41.1 years, compared to 40.9 years in New albany.
- New albany has a higher median income of $224,824 compared to $53,870 in Eatonton.
- A higher percentage of married families is found in New albany at 51.0% compared to 37.0% in Eatonton.
- The poverty level is higher in Eatonton at 14%, compared to 1% in New albany.
- Eatonton has a higher unemployment rate at 3.9% compared to 3.2% in New albany.
Demographics
Demographics New albany vs Eatonton provide insight into the diversity of the communities to compare.
| Demographic | New albany | Eatonton |
|---|---|---|
| Black | 2 | 56 |
| White | 72 | 44 |
| Asian | 8 | Data is updating |
| Hispanic | 7 | Data is updating |
| Two or More Races | 11 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: New albany vs Eatonton
- In Eatonton, the percentage of Black residents is higher at 56% compared to 2% in New albany.
- New albany has a higher percentage of White residents at 72% compared to 44% in Eatonton.
- The Asian population is larger in New albany at 8% compared to 0% in Eatonton.
- The Hispanic community is larger in New albany at 7% compared to 0% in Eatonton.
- More residents identify as two or more races in New albany at 11% compared to 0% in Eatonton.
- The percentage of American Indian residents is the same in both New albany and Eatonton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New albany | Eatonton |
|---|---|---|
| Mental Health Not Good | 13.6% | 19.3% |
| Physical Health Not Good | 7.3% | 15.1% |
| Depression | 22.1% | 20.6% |
| Smoking | 10.1% | 22.9% |
| Binge Drinking | 20.8% | 12.8% |
| Obesity | 28.6% | 43.6% |
| Disability Percentage | 4.0% | 22.0% |
Health Statistics Comparison: New albany vs Eatonton
- In Eatonton, a higher percentage report poor mental health at 19.3% compared to 13.6% in New albany.
- Depression is more prevalent in New albany at 22.1% compared to 20.6% in Eatonton.
- Eatonton has a higher smoking rate at 22.9% compared to 10.1% in New albany.
- Binge drinking is more common in New albany at 20.8% compared to 12.8% in Eatonton.
- Eatonton has higher obesity rates at 43.6% compared to 28.6% in New albany.
- There is a higher percentage of disabled individuals in Eatonton at 22.0% compared to 4.0% in New albany.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New albany | Eatonton |
|---|---|---|
| No Schooling | 0.2% (17) | 0.2% (10) |
| High School Diploma | 3.4% (371) | 27.1% (1,772) |
| Less than High School | 1.0% (111) | 6.1% (402) |
| Bachelor's Degree and Higher | 45.6% (5,031) | 13.7% (895) |
Education Levels Comparison: New albany vs Eatonton
- The percentage of residents with no formal schooling is the same in both New albany and Eatonton at 0.2%.
- In Eatonton, the rate of residents with high school diplomas is higher at 27.1% compared to 3.4% in New albany.
- The percentage of residents with less than a high school education is higher in Eatonton at 6.1%, compared to 1.0% in New albany.
- A higher percentage of residents in New albany hold a bachelor's degree or higher at 45.6% compared to 13.7% in Eatonton.
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.