Demographics details for Iuka, MS vs Eatonton, GA
Population Overview
Compare main population characteristics in Iuka, MS vs Eatonton, GA.
| Data | Iuka | Eatonton |
|---|---|---|
| Population | 3,096 | 6,545 |
| Median Age | 37.2 years | 41.1 years |
| Median Income | $43,887 | $53,870 |
| Married Families | 40.0% | 37.0% |
| Poverty Level | 22% | 14% |
| Unemployment Rate | 5.0 | 3.9 |
Population Comparison: Iuka vs Eatonton
- The population in Eatonton is higher at 6,545, compared to 3,096 in Iuka.
- The median age in Eatonton is higher at 41.1 years, compared to 37.2 years in Iuka.
- Eatonton has a higher median income of $53,870, compared to $43,887 in Iuka.
- A higher percentage of married families is found in Iuka at 40.0% compared to 37.0% in Eatonton.
- Iuka has a higher poverty level at 22% compared to 14% in Eatonton.
- The unemployment rate in Iuka is higher at 5.0%, compared to 3.9% in Eatonton.
Demographics
Demographics Iuka vs Eatonton provide insight into the diversity of the communities to compare.
| Demographic | Iuka | Eatonton |
|---|---|---|
| Black | 4 | 56 |
| White | 94 | 44 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Iuka vs Eatonton
- In Eatonton, the percentage of Black residents is higher at 56% compared to 4% in Iuka.
- Iuka has a higher percentage of White residents at 94% compared to 44% in Eatonton.
- Both Iuka and Eatonton have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Iuka and Eatonton at 0%.
- More residents identify as two or more races in Iuka at 2% compared to 0% in Eatonton.
- The percentage of American Indian residents is the same in both Iuka and Eatonton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Iuka | Eatonton |
|---|---|---|
| Mental Health Not Good | 19.6% | 19.3% |
| Physical Health Not Good | 15.1% | 15.1% |
| Depression | 26.4% | 20.6% |
| Smoking | 25.7% | 22.9% |
| Binge Drinking | 14.6% | 12.8% |
| Obesity | 40.0% | 43.6% |
| Disability Percentage | 19.0% | 22.0% |
Health Statistics Comparison: Iuka vs Eatonton
- More residents in Iuka report poor mental health at 19.6% compared to 19.3% in Eatonton.
- Depression is more prevalent in Iuka at 26.4% compared to 20.6% in Eatonton.
- Smoking is more prevalent in Iuka at 25.7% compared to 22.9% in Eatonton.
- Binge drinking is more common in Iuka at 14.6% compared to 12.8% in Eatonton.
- Eatonton has higher obesity rates at 43.6% compared to 40.0% in Iuka.
- There is a higher percentage of disabled individuals in Eatonton at 22.0% compared to 19.0% in Iuka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Iuka | Eatonton |
|---|---|---|
| No Schooling | 2.4% (75) | 0.2% (10) |
| High School Diploma | 19.9% (616) | 27.1% (1,772) |
| Less than High School | 21.0% (650) | 6.1% (402) |
| Bachelor's Degree and Higher | 11.2% (348) | 13.7% (895) |
Education Levels Comparison: Iuka vs Eatonton
- A higher percentage of residents in Iuka have no formal schooling at 2.4% compared to 0.2% in Eatonton.
- In Eatonton, the rate of residents with high school diplomas is higher at 27.1% compared to 19.9% in Iuka.
- More residents in Iuka have less than a high school education at 21.0% 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 11.2% in Iuka.
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.