Demographics details for Savannah, GA vs Winfield, WV
Population Overview
Compare main population characteristics in Savannah, GA vs Winfield, WV.
| Data | Savannah | Winfield |
|---|---|---|
| Population | 148,004 | 2,377 |
| Median Age | 33.5 years | 41.1 years |
| Median Income | $54,748 | $101,500 |
| Married Families | 26.0% | 63.0% |
| Poverty Level | 20% | Data is updating |
| Unemployment Rate | 4.2 | 3.6 |
Population Comparison: Savannah vs Winfield
- In Savannah, the population is higher at 148,004, compared to 2,377 in Winfield.
- The median age in Winfield is higher at 41.1 years, compared to 33.5 years in Savannah.
- Winfield has a higher median income of $101,500, compared to $54,748 in Savannah.
- In Winfield, the percentage of married families is higher at 63.0%, compared to 26.0% in Savannah.
- Savannah has a higher poverty level at 20% compared to 0% in Winfield.
- The unemployment rate in Savannah is higher at 4.2%, compared to 3.6% in Winfield.
Demographics
Demographics Savannah vs Winfield provide insight into the diversity of the communities to compare.
| Demographic | Savannah | Winfield |
|---|---|---|
| Black | 53 | 2 |
| White | 34 | 90 |
| Asian | 3 | 3 |
| Hispanic | 6 | Data is updating |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Savannah vs Winfield
- A higher percentage of Black residents are in Savannah at 53% compared to 2% in Winfield.
- The percentage of White residents is higher in Winfield at 90% compared to 34% in Savannah.
- Both Savannah and Winfield have the same percentage of Asian residents at 3%.
- The Hispanic community is larger in Savannah at 6% compared to 0% in Winfield.
- The percentage of residents identifying as two or more races is higher in Winfield at 5%, compared to 4% in Savannah.
- The percentage of American Indian residents is the same in both Savannah and Winfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Savannah | Winfield |
|---|---|---|
| Mental Health Not Good | 17.5% | 17.7% |
| Physical Health Not Good | 13.3% | 11.0% |
| Depression | 19.4% | 26.3% |
| Smoking | 19.7% | 15.9% |
| Binge Drinking | 14.3% | 15.6% |
| Obesity | 36.9% | 42.3% |
| Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Savannah vs Winfield
- In Winfield, a higher percentage report poor mental health at 17.7% compared to 17.5% in Savannah.
- Higher depression rates are seen in Winfield at 26.3% versus 19.4% in Savannah.
- Smoking is more prevalent in Savannah at 19.7% compared to 15.9% in Winfield.
- More residents engage in binge drinking in Winfield at 15.6% compared to 14.3% in Savannah.
- Winfield has higher obesity rates at 42.3% compared to 36.9% in Savannah.
- Disability percentages are higher in Savannah at 15.0% compared to 14.0% in Winfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Savannah | Winfield |
|---|---|---|
| No Schooling | 0.6% (853) | 0.3% (7) |
| High School Diploma | 14.6% (21,663) | 23.1% (548) |
| Less than High School | 8.0% (11,888) | 11.1% (264) |
| Bachelor's Degree and Higher | 20.4% (30,130) | 31.5% (748) |
Education Levels Comparison: Savannah vs Winfield
- A higher percentage of residents in Savannah have no formal schooling at 0.6% compared to 0.3% in Winfield.
- In Winfield, the rate of residents with high school diplomas is higher at 23.1% compared to 14.6% in Savannah.
- The percentage of residents with less than a high school education is higher in Winfield at 11.1%, compared to 8.0% in Savannah.
- In Winfield, a larger share of residents have a bachelor's degree or higher at 31.5% compared to 20.4% in Savannah.
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.