Demographics details for Southaven, MS vs Bluefield, WV
Population Overview
Compare main population characteristics in Southaven, MS vs Bluefield, WV.
| Data | Southaven | Bluefield |
|---|---|---|
| Population | 56,360 | 9,408 |
| Median Age | 35.4 years | 43.9 years |
| Median Income | $72,513 | $45,854 |
| Married Families | 37.0% | 36.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.2 | 3.1 |
Population Comparison: Southaven vs Bluefield
- In Southaven, the population is higher at 56,360, compared to 9,408 in Bluefield.
- The median age in Bluefield is higher at 43.9 years, compared to 35.4 years in Southaven.
- Southaven has a higher median income of $72,513 compared to $45,854 in Bluefield.
- A higher percentage of married families is found in Southaven at 37.0% compared to 36.0% in Bluefield.
- The poverty level is identical in both Southaven and Bluefield at 12%.
- The unemployment rate in Southaven is higher at 3.2%, compared to 3.1% in Bluefield.
Demographics
Demographics Southaven vs Bluefield provide insight into the diversity of the communities to compare.
| Demographic | Southaven | Bluefield |
|---|---|---|
| Black | 35 | 23 |
| White | 55 | 66 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | 3 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Southaven vs Bluefield
- A higher percentage of Black residents are in Southaven at 35% compared to 23% in Bluefield.
- The percentage of White residents is higher in Bluefield at 66% compared to 55% in Southaven.
- The Asian population is larger in Southaven at 1% compared to 0% in Bluefield.
- The Hispanic community is larger in Southaven at 5% compared to 3% in Bluefield.
- The percentage of residents identifying as two or more races is higher in Bluefield at 8%, compared to 4% in Southaven.
- The percentage of American Indian residents is the same in both Southaven and Bluefield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Southaven | Bluefield |
|---|---|---|
| Mental Health Not Good | 15.6% | 22.1% |
| Physical Health Not Good | 10.9% | 15.9% |
| Depression | 22.9% | 28.4% |
| Smoking | 16.7% | 21.4% |
| Binge Drinking | 14.1% | 12.0% |
| Obesity | 39.7% | 46.3% |
| Disability Percentage | 10.0% | 27.0% |
Health Statistics Comparison: Southaven vs Bluefield
- In Bluefield, a higher percentage report poor mental health at 22.1% compared to 15.6% in Southaven.
- Higher depression rates are seen in Bluefield at 28.4% versus 22.9% in Southaven.
- Bluefield has a higher smoking rate at 21.4% compared to 16.7% in Southaven.
- Binge drinking is more common in Southaven at 14.1% compared to 12.0% in Bluefield.
- Bluefield has higher obesity rates at 46.3% compared to 39.7% in Southaven.
- There is a higher percentage of disabled individuals in Bluefield at 27.0% compared to 10.0% in Southaven.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Southaven | Bluefield |
|---|---|---|
| No Schooling | 1.2% (658) | 0.2% (21) |
| High School Diploma | 15.8% (8,925) | 19.0% (1,788) |
| Less than High School | 8.7% (4,879) | 16.0% (1,505) |
| Bachelor's Degree and Higher | 16.0% (9,035) | 19.4% (1,826) |
Education Levels Comparison: Southaven vs Bluefield
- A higher percentage of residents in Southaven have no formal schooling at 1.2% compared to 0.2% in Bluefield.
- In Bluefield, the rate of residents with high school diplomas is higher at 19.0% compared to 15.8% in Southaven.
- The percentage of residents with less than a high school education is higher in Bluefield at 16.0%, compared to 8.7% in Southaven.
- In Bluefield, a larger share of residents have a bachelor's degree or higher at 19.4% compared to 16.0% in Southaven.
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.