Demographics details for Sylvania, GA vs Boyle, MS
Population Overview
Compare main population characteristics in Sylvania, GA vs Boyle, MS.
| Data | Sylvania | Boyle |
|---|---|---|
| Population | 2,602 | 499 |
| Median Age | 43.7 years | 36.7 years |
| Median Income | $36,682 | $33,750 |
| Married Families | 33.0% | 25.0% |
| Poverty Level | 18% | 20% |
| Unemployment Rate | 5.2 | 4.5 |
Population Comparison: Sylvania vs Boyle
- In Sylvania, the population is higher at 2,602, compared to 499 in Boyle.
- Residents in Sylvania have a higher median age of 43.7 years compared to 36.7 years in Boyle.
- Sylvania has a higher median income of $36,682 compared to $33,750 in Boyle.
- A higher percentage of married families is found in Sylvania at 33.0% compared to 25.0% in Boyle.
- The poverty level is higher in Boyle at 20%, compared to 18% in Sylvania.
- The unemployment rate in Sylvania is higher at 5.2%, compared to 4.5% in Boyle.
Demographics
Demographics Sylvania vs Boyle provide insight into the diversity of the communities to compare.
| Demographic | Sylvania | Boyle |
|---|---|---|
| Black | 57 | 50 |
| White | 40 | 50 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sylvania vs Boyle
- A higher percentage of Black residents are in Sylvania at 57% compared to 50% in Boyle.
- The percentage of White residents is higher in Boyle at 50% compared to 40% in Sylvania.
- Both Sylvania and Boyle have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Sylvania at 1% compared to 0% in Boyle.
- More residents identify as two or more races in Sylvania at 2% compared to 0% in Boyle.
- The percentage of American Indian residents is the same in both Sylvania and Boyle at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sylvania | Boyle |
|---|---|---|
| Mental Health Not Good | 18.9% | 17.4% |
| Physical Health Not Good | 14.4% | 13.3% |
| Depression | 21.8% | 20.4% |
| Smoking | 21.8% | 20.5% |
| Binge Drinking | 13.6% | 13.0% |
| Obesity | 40.5% | 41.3% |
| Disability Percentage | 16.0% | 48.0% |
Health Statistics Comparison: Sylvania vs Boyle
- More residents in Sylvania report poor mental health at 18.9% compared to 17.4% in Boyle.
- Depression is more prevalent in Sylvania at 21.8% compared to 20.4% in Boyle.
- Smoking is more prevalent in Sylvania at 21.8% compared to 20.5% in Boyle.
- Binge drinking is more common in Sylvania at 13.6% compared to 13.0% in Boyle.
- Boyle has higher obesity rates at 41.3% compared to 40.5% in Sylvania.
- There is a higher percentage of disabled individuals in Boyle at 48.0% 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 | Boyle |
|---|---|---|
| No Schooling | 0.3% (8) | 0.0% (Data is updating) |
| High School Diploma | 27.1% (704) | 16.2% (81) |
| Less than High School | 18.6% (485) | 17.0% (85) |
| Bachelor's Degree and Higher | 10.4% (271) | 41.7% (208) |
Education Levels Comparison: Sylvania vs Boyle
- A higher percentage of residents in Sylvania have no formal schooling at 0.3% compared to 0.0% in Boyle.
- A higher percentage of residents in Sylvania hold a high school diploma at 27.1% compared to 16.2% in Boyle.
- More residents in Sylvania have less than a high school education at 18.6% compared to 17.0% in Boyle.
- In Boyle, a larger share of residents have a bachelor's degree or higher at 41.7% compared to 10.4% in Sylvania.
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.