Demographics details for Iuka, MS vs Sugar valley, GA
Population Overview
Compare main population characteristics in Iuka, MS vs Sugar valley, GA.
| Data | Iuka | Sugar valley |
|---|---|---|
| Population | 3,096 | 8,120 |
| Median Age | 37.2 years | 38.8 years |
| Median Income | $43,887 | $68,839 |
| Married Families | 40.0% | 42.0% |
| Poverty Level | 22% | 9% |
| Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Iuka vs Sugar valley
- The population in Sugar valley is higher at 8,120, compared to 3,096 in Iuka.
- The median age in Sugar valley is higher at 38.8 years, compared to 37.2 years in Iuka.
- Sugar valley has a higher median income of $68,839, compared to $43,887 in Iuka.
- In Sugar valley, the percentage of married families is higher at 42.0%, compared to 40.0% in Iuka.
- Iuka has a higher poverty level at 22% compared to 9% in Sugar valley.
- The unemployment rate in Iuka is higher at 5.0%, compared to 3.5% in Sugar valley.
Demographics
Demographics Iuka vs Sugar valley provide insight into the diversity of the communities to compare.
| Demographic | Iuka | Sugar valley |
|---|---|---|
| Black | 4 | Data is updating |
| White | 94 | 86 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 9 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Iuka vs Sugar valley
- A higher percentage of Black residents are in Iuka at 4% compared to 0% in Sugar valley.
- Iuka has a higher percentage of White residents at 94% compared to 86% in Sugar valley.
- In Sugar valley, the Asian population stands at 1%, greater than 0% in Iuka.
- Sugar valley has a higher percentage of Hispanic residents at 9%, compared to 0% in Iuka.
- The percentage of residents identifying as two or more races is higher in Sugar valley at 4%, compared to 2% in Iuka.
- The percentage of American Indian residents is the same in both Iuka and Sugar valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Iuka | Sugar valley |
|---|---|---|
| Mental Health Not Good | 19.6% | Data is updating% |
| Physical Health Not Good | 15.1% | Data is updating% |
| Depression | 26.4% | Data is updating% |
| Smoking | 25.7% | Data is updating% |
| Binge Drinking | 14.6% | Data is updating% |
| Obesity | 40.0% | Data is updating% |
| Disability Percentage | 19.0% | 16.0% |
Health Statistics Comparison: Iuka vs Sugar valley
- More residents in Iuka report poor mental health at 19.6% compared to 0.0% in Sugar valley.
- Depression is more prevalent in Iuka at 26.4% compared to 0.0% in Sugar valley.
- Smoking is more prevalent in Iuka at 25.7% compared to 0.0% in Sugar valley.
- Binge drinking is more common in Iuka at 14.6% compared to 0.0% in Sugar valley.
- Obesity rates are higher in Iuka at 40.0% compared to 0.0% in Sugar valley.
- Disability percentages are higher in Iuka at 19.0% compared to 16.0% in Sugar valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Iuka | Sugar valley |
|---|---|---|
| No Schooling | 2.4% (75) | 1.4% (111) |
| High School Diploma | 19.9% (616) | 16.9% (1,371) |
| Less than High School | 21.0% (650) | 22.0% (1,784) |
| Bachelor's Degree and Higher | 11.2% (348) | 7.6% (619) |
Education Levels Comparison: Iuka vs Sugar valley
- A higher percentage of residents in Iuka have no formal schooling at 2.4% compared to 1.4% in Sugar valley.
- A higher percentage of residents in Iuka hold a high school diploma at 19.9% compared to 16.9% in Sugar valley.
- The percentage of residents with less than a high school education is higher in Sugar valley at 22.0%, compared to 21.0% in Iuka.
- A higher percentage of residents in Iuka hold a bachelor's degree or higher at 11.2% compared to 7.6% in Sugar valley.
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.