Demographics details for Sylvania, GA vs Stanley, VA
Population Overview
Compare main population characteristics in Sylvania, GA vs Stanley, VA.
| Data | Sylvania | Stanley |
|---|---|---|
| Population | 2,602 | 1,702 |
| Median Age | 43.7 years | 41.1 years |
| Median Income | $36,682 | $42,976 |
| Married Families | 33.0% | 31.0% |
| Poverty Level | 18% | Data is updating |
| Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Sylvania vs Stanley
- In Sylvania, the population is higher at 2,602, compared to 1,702 in Stanley.
- Residents in Sylvania have a higher median age of 43.7 years compared to 41.1 years in Stanley.
- Stanley has a higher median income of $42,976, compared to $36,682 in Sylvania.
- A higher percentage of married families is found in Sylvania at 33.0% compared to 31.0% in Stanley.
- Sylvania has a higher poverty level at 18% compared to 0% in Stanley.
- The unemployment rate in Sylvania is higher at 5.2%, compared to 3.5% in Stanley.
Demographics
Demographics Sylvania vs Stanley provide insight into the diversity of the communities to compare.
| Demographic | Sylvania | Stanley |
|---|---|---|
| Black | 57 | Data is updating |
| White | 40 | 95 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 2 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sylvania vs Stanley
- A higher percentage of Black residents are in Sylvania at 57% compared to 0% in Stanley.
- The percentage of White residents is higher in Stanley at 95% compared to 40% in Sylvania.
- Both Sylvania and Stanley have the same percentage of Asian residents at 0%.
- Stanley has a higher percentage of Hispanic residents at 2%, compared to 1% in Sylvania.
- The percentage of residents identifying as two or more races is higher in Stanley at 3%, compared to 2% in Sylvania.
- The percentage of American Indian residents is the same in both Sylvania and Stanley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sylvania | Stanley |
|---|---|---|
| Mental Health Not Good | 18.9% | 20.1% |
| Physical Health Not Good | 14.4% | 14.1% |
| Depression | 21.8% | 27.4% |
| Smoking | 21.8% | 23.9% |
| Binge Drinking | 13.6% | 16.8% |
| Obesity | 40.5% | 40.4% |
| Disability Percentage | 16.0% | 24.0% |
Health Statistics Comparison: Sylvania vs Stanley
- In Stanley, a higher percentage report poor mental health at 20.1% compared to 18.9% in Sylvania.
- Higher depression rates are seen in Stanley at 27.4% versus 21.8% in Sylvania.
- Stanley has a higher smoking rate at 23.9% compared to 21.8% in Sylvania.
- More residents engage in binge drinking in Stanley at 16.8% compared to 13.6% in Sylvania.
- Obesity rates are higher in Sylvania at 40.5% compared to 40.4% in Stanley.
- There is a higher percentage of disabled individuals in Stanley at 24.0% compared to 16.0% in Sylvania.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sylvania | Stanley |
|---|---|---|
| No Schooling | 0.3% (8) | 0.6% (10) |
| High School Diploma | 27.1% (704) | 28.0% (477) |
| Less than High School | 18.6% (485) | 38.5% (656) |
| Bachelor's Degree and Higher | 10.4% (271) | 7.4% (126) |
Education Levels Comparison: Sylvania vs Stanley
- In Stanley, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Sylvania.
- In Stanley, the rate of residents with high school diplomas is higher at 28.0% compared to 27.1% in Sylvania.
- The percentage of residents with less than a high school education is higher in Stanley at 38.5%, compared to 18.6% in Sylvania.
- A higher percentage of residents in Sylvania hold a bachelor's degree or higher at 10.4% compared to 7.4% in Stanley.
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.