Demographics details for Vidalia, GA vs Bluefield, WV
Population Overview
Compare main population characteristics in Vidalia, GA vs Bluefield, WV.
| Data | Vidalia | Bluefield |
|---|---|---|
| Population | 10,668 | 9,408 |
| Median Age | 37.4 years | 43.9 years |
| Median Income | $47,124 | $45,854 |
| Married Families | 32.0% | 36.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 5.0 | 3.1 |
Population Comparison: Vidalia vs Bluefield
- In Vidalia, the population is higher at 10,668, compared to 9,408 in Bluefield.
- The median age in Bluefield is higher at 43.9 years, compared to 37.4 years in Vidalia.
- Vidalia has a higher median income of $47,124 compared to $45,854 in Bluefield.
- In Bluefield, the percentage of married families is higher at 36.0%, compared to 32.0% in Vidalia.
- Vidalia has a higher poverty level at 14% compared to 12% in Bluefield.
- The unemployment rate in Vidalia is higher at 5.0%, compared to 3.1% in Bluefield.
Demographics
Demographics Vidalia vs Bluefield provide insight into the diversity of the communities to compare.
| Demographic | Vidalia | Bluefield |
|---|---|---|
| Black | 39 | 23 |
| White | 48 | 66 |
| Asian | 2 | Data is updating |
| Hispanic | 4 | 3 |
| Two or More Races | 7 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Vidalia vs Bluefield
- A higher percentage of Black residents are in Vidalia at 39% compared to 23% in Bluefield.
- The percentage of White residents is higher in Bluefield at 66% compared to 48% in Vidalia.
- The Asian population is larger in Vidalia at 2% compared to 0% in Bluefield.
- The Hispanic community is larger in Vidalia at 4% compared to 3% in Bluefield.
- The percentage of residents identifying as two or more races is higher in Bluefield at 8%, compared to 7% in Vidalia.
- The percentage of American Indian residents is the same in both Vidalia and Bluefield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Vidalia | Bluefield |
|---|---|---|
| Mental Health Not Good | 18.6% | 22.1% |
| Physical Health Not Good | 14.2% | 15.9% |
| Depression | 21.4% | 28.4% |
| Smoking | 20.9% | 21.4% |
| Binge Drinking | 13.9% | 12.0% |
| Obesity | 42.2% | 46.3% |
| Disability Percentage | 18.0% | 27.0% |
Health Statistics Comparison: Vidalia vs Bluefield
- In Bluefield, a higher percentage report poor mental health at 22.1% compared to 18.6% in Vidalia.
- Higher depression rates are seen in Bluefield at 28.4% versus 21.4% in Vidalia.
- Bluefield has a higher smoking rate at 21.4% compared to 20.9% in Vidalia.
- Binge drinking is more common in Vidalia at 13.9% compared to 12.0% in Bluefield.
- Bluefield has higher obesity rates at 46.3% compared to 42.2% in Vidalia.
- There is a higher percentage of disabled individuals in Bluefield at 27.0% compared to 18.0% in Vidalia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Vidalia | Bluefield |
|---|---|---|
| No Schooling | 0.9% (97) | 0.2% (21) |
| High School Diploma | 14.4% (1,539) | 19.0% (1,788) |
| Less than High School | 7.9% (846) | 16.0% (1,505) |
| Bachelor's Degree and Higher | 14.3% (1,525) | 19.4% (1,826) |
Education Levels Comparison: Vidalia vs Bluefield
- A higher percentage of residents in Vidalia have no formal schooling at 0.9% compared to 0.2% in Bluefield.
- In Bluefield, the rate of residents with high school diplomas is higher at 19.0% compared to 14.4% in Vidalia.
- The percentage of residents with less than a high school education is higher in Bluefield at 16.0%, compared to 7.9% in Vidalia.
- In Bluefield, a larger share of residents have a bachelor's degree or higher at 19.4% compared to 14.3% in Vidalia.
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.