Demographics details for Southaven, MS vs Eglon, WV
Population Overview
Compare main population characteristics in Southaven, MS vs Eglon, WV.
| Data | Southaven | Eglon |
|---|---|---|
| Population | 56,360 | 100 |
| Median Age | 35.4 years | 45.0 years |
| Median Income | $72,513 | $60,000 |
| Married Families | 37.0% | 70.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Southaven vs Eglon
- In Southaven, the population is higher at 56,360, compared to 100 in Eglon.
- The median age in Eglon is higher at 45.0 years, compared to 35.4 years in Southaven.
- Southaven has a higher median income of $72,513 compared to $60,000 in Eglon.
- In Eglon, the percentage of married families is higher at 70.0%, compared to 37.0% in Southaven.
- Southaven has a higher poverty level at 12% compared to 10% in Eglon.
- Eglon has a higher unemployment rate at 5.0% compared to 3.2% in Southaven.
Demographics
Demographics Southaven vs Eglon provide insight into the diversity of the communities to compare.
| Demographic | Southaven | Eglon |
|---|---|---|
| Black | 35 | Data is updating |
| White | 55 | 95 |
| Asian | 1 | 2 |
| Hispanic | 5 | 1 |
| Two or More Races | 4 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Southaven vs Eglon
- A higher percentage of Black residents are in Southaven at 35% compared to 0% in Eglon.
- The percentage of White residents is higher in Eglon at 95% compared to 55% in Southaven.
- In Eglon, the Asian population stands at 2%, greater than 1% in Southaven.
- The Hispanic community is larger in Southaven at 5% compared to 1% in Eglon.
- More residents identify as two or more races in Southaven at 4% compared to 2% in Eglon.
- The percentage of American Indian residents is the same in both Southaven and Eglon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Southaven | Eglon |
|---|---|---|
| Mental Health Not Good | 15.6% | Data is updating% |
| Physical Health Not Good | 10.9% | Data is updating% |
| Depression | 22.9% | Data is updating% |
| Smoking | 16.7% | Data is updating% |
| Binge Drinking | 14.1% | Data is updating% |
| Obesity | 39.7% | Data is updating% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Southaven vs Eglon
- More residents in Southaven report poor mental health at 15.6% compared to 0.0% in Eglon.
- Depression is more prevalent in Southaven at 22.9% compared to 0.0% in Eglon.
- Smoking is more prevalent in Southaven at 16.7% compared to 0.0% in Eglon.
- Binge drinking is more common in Southaven at 14.1% compared to 0.0% in Eglon.
- Obesity rates are higher in Southaven at 39.7% compared to 0.0% in Eglon.
- Disability percentages are higher in Southaven at 10.0% compared to 0.0% in Eglon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Southaven | Eglon |
|---|---|---|
| No Schooling | 1.2% (658) | 0.0% (Data is updating) |
| High School Diploma | 15.8% (8,925) | 0.0% (Data is updating) |
| Less than High School | 8.7% (4,879) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 16.0% (9,035) | 0.0% (Data is updating) |
Education Levels Comparison: Southaven vs Eglon
- A higher percentage of residents in Southaven have no formal schooling at 1.2% compared to 0.0% in Eglon.
- A higher percentage of residents in Southaven hold a high school diploma at 15.8% compared to 0.0% in Eglon.
- More residents in Southaven have less than a high school education at 8.7% compared to 0.0% in Eglon.
- A higher percentage of residents in Southaven hold a bachelor's degree or higher at 16.0% compared to 0.0% in Eglon.
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.