Demographics details for Southold, NY vs Sylvania, GA
Population Overview
Compare main population characteristics in Southold, NY vs Sylvania, GA.
| Data | Southold | Sylvania |
|---|---|---|
| Population | 22,125 | 2,602 |
| Median Age | 47.0 years | 43.7 years |
| Median Income | $92,839 | $36,682 |
| Married Families | 65.0% | 33.0% |
| Poverty Level | 5% | 18% |
| Unemployment Rate | 3.0 | 5.2 |
Population Comparison: Southold vs Sylvania
- In Southold, the population is higher at 22,125, compared to 2,602 in Sylvania.
- Residents in Southold have a higher median age of 47.0 years compared to 43.7 years in Sylvania.
- Southold has a higher median income of $92,839 compared to $36,682 in Sylvania.
- A higher percentage of married families is found in Southold at 65.0% compared to 33.0% in Sylvania.
- The poverty level is higher in Sylvania at 18%, compared to 5% in Southold.
- Sylvania has a higher unemployment rate at 5.2% compared to 3.0% in Southold.
Demographics
Demographics Southold vs Sylvania provide insight into the diversity of the communities to compare.
| Demographic | Southold | Sylvania |
|---|---|---|
| Black | 2 | 57 |
| White | 90 | 40 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | 1 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Southold vs Sylvania
- In Sylvania, the percentage of Black residents is higher at 57% compared to 2% in Southold.
- Southold has a higher percentage of White residents at 90% compared to 40% in Sylvania.
- The Asian population is larger in Southold at 1% compared to 0% in Sylvania.
- The Hispanic community is larger in Southold at 5% compared to 1% in Sylvania.
- Both Southold and Sylvania have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Southold and Sylvania at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Southold | Sylvania |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.9% |
| Physical Health Not Good | Data is updating% | 14.4% |
| Depression | Data is updating% | 21.8% |
| Smoking | Data is updating% | 21.8% |
| Binge Drinking | Data is updating% | 13.6% |
| Obesity | Data is updating% | 40.5% |
| Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Southold vs Sylvania
- In Sylvania, a higher percentage report poor mental health at 18.9% compared to 0.0% in Southold.
- Higher depression rates are seen in Sylvania at 21.8% versus 0.0% in Southold.
- Sylvania has a higher smoking rate at 21.8% compared to 0.0% in Southold.
- More residents engage in binge drinking in Sylvania at 13.6% compared to 0.0% in Southold.
- Sylvania has higher obesity rates at 40.5% compared to 0.0% in Southold.
- There is a higher percentage of disabled individuals in Sylvania at 16.0% compared to 0.0% in Southold.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Southold | Sylvania |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (8) |
| High School Diploma | 0.0% (Data is updating) | 27.1% (704) |
| Less than High School | 0.0% (Data is updating) | 18.6% (485) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 10.4% (271) |
Education Levels Comparison: Southold vs Sylvania
- In Sylvania, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Southold.
- In Sylvania, the rate of residents with high school diplomas is higher at 27.1% compared to 0.0% in Southold.
- The percentage of residents with less than a high school education is higher in Sylvania at 18.6%, compared to 0.0% in Southold.
- In Sylvania, a larger share of residents have a bachelor's degree or higher at 10.4% compared to 0.0% in Southold.
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.