Demographics details for Molino, FL vs Eatonton, GA
Population Overview
Compare main population characteristics in Molino, FL vs Eatonton, GA.
| Data | Molino | Eatonton |
|---|---|---|
| Population | 1,253 | 6,545 |
| Median Age | 35.9 years | 41.1 years |
| Median Income | $87,614 | $53,870 |
| Married Families | 50.0% | 37.0% |
| Poverty Level | 13% | 14% |
| Unemployment Rate | 3.5 | 3.9 |
Population Comparison: Molino vs Eatonton
- The population in Eatonton is higher at 6,545, compared to 1,253 in Molino.
- The median age in Eatonton is higher at 41.1 years, compared to 35.9 years in Molino.
- Molino has a higher median income of $87,614 compared to $53,870 in Eatonton.
- A higher percentage of married families is found in Molino at 50.0% compared to 37.0% in Eatonton.
- The poverty level is higher in Eatonton at 14%, compared to 13% in Molino.
- Eatonton has a higher unemployment rate at 3.9% compared to 3.5% in Molino.
Demographics
Demographics Molino vs Eatonton provide insight into the diversity of the communities to compare.
| Demographic | Molino | Eatonton |
|---|---|---|
| Black | 13 | 56 |
| White | 54 | 44 |
| Asian | Data is updating | Data is updating |
| Hispanic | 12 | Data is updating |
| Two or More Races | 20 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Molino vs Eatonton
- In Eatonton, the percentage of Black residents is higher at 56% compared to 13% in Molino.
- Molino has a higher percentage of White residents at 54% compared to 44% in Eatonton.
- Both Molino and Eatonton have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Molino at 12% compared to 0% in Eatonton.
- More residents identify as two or more races in Molino at 20% compared to 0% in Eatonton.
- A greater percentage of American Indian residents live in Molino at 1% compared to 0% in Eatonton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Molino | Eatonton |
|---|---|---|
| Mental Health Not Good | 17.1% | 19.3% |
| Physical Health Not Good | 11.5% | 15.1% |
| Depression | 22.4% | 20.6% |
| Smoking | 21.3% | 22.9% |
| Binge Drinking | 15.8% | 12.8% |
| Obesity | 34.8% | 43.6% |
| Disability Percentage | 12.0% | 22.0% |
Health Statistics Comparison: Molino vs Eatonton
- In Eatonton, a higher percentage report poor mental health at 19.3% compared to 17.1% in Molino.
- Depression is more prevalent in Molino at 22.4% compared to 20.6% in Eatonton.
- Eatonton has a higher smoking rate at 22.9% compared to 21.3% in Molino.
- Binge drinking is more common in Molino at 15.8% compared to 12.8% in Eatonton.
- Eatonton has higher obesity rates at 43.6% compared to 34.8% in Molino.
- There is a higher percentage of disabled individuals in Eatonton at 22.0% compared to 12.0% in Molino.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Molino | Eatonton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.2% (10) |
| High School Diploma | 21.4% (268) | 27.1% (1,772) |
| Less than High School | 6.7% (84) | 6.1% (402) |
| Bachelor's Degree and Higher | 11.7% (147) | 13.7% (895) |
Education Levels Comparison: Molino vs Eatonton
- In Eatonton, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Molino.
- In Eatonton, the rate of residents with high school diplomas is higher at 27.1% compared to 21.4% in Molino.
- More residents in Molino have less than a high school education at 6.7% compared to 6.1% in Eatonton.
- In Eatonton, a larger share of residents have a bachelor's degree or higher at 13.7% compared to 11.7% in Molino.
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.