Demographics details for Blanchard, OK vs Sylvania, GA
Population Overview
Compare main population characteristics in Blanchard, OK vs Sylvania, GA.
| Data | Blanchard | Sylvania |
|---|---|---|
| Population | 9,481 | 2,602 |
| Median Age | 40.5 years | 43.7 years |
| Median Income | $86,964 | $36,682 |
| Married Families | 48.0% | 33.0% |
| Poverty Level | 8% | 18% |
| Unemployment Rate | 3.2 | 5.2 |
Population Comparison: Blanchard vs Sylvania
- In Blanchard, the population is higher at 9,481, compared to 2,602 in Sylvania.
- The median age in Sylvania is higher at 43.7 years, compared to 40.5 years in Blanchard.
- Blanchard has a higher median income of $86,964 compared to $36,682 in Sylvania.
- A higher percentage of married families is found in Blanchard at 48.0% compared to 33.0% in Sylvania.
- The poverty level is higher in Sylvania at 18%, compared to 8% in Blanchard.
- Sylvania has a higher unemployment rate at 5.2% compared to 3.2% in Blanchard.
Demographics
Demographics Blanchard vs Sylvania provide insight into the diversity of the communities to compare.
| Demographic | Blanchard | Sylvania |
|---|---|---|
| Black | 1 | 57 |
| White | 85 | 40 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 1 |
| Two or More Races | 6 | 2 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Blanchard vs Sylvania
- In Sylvania, the percentage of Black residents is higher at 57% compared to 1% in Blanchard.
- Blanchard has a higher percentage of White residents at 85% compared to 40% in Sylvania.
- Both Blanchard and Sylvania have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Blanchard at 5% compared to 1% in Sylvania.
- More residents identify as two or more races in Blanchard at 6% compared to 2% in Sylvania.
- A greater percentage of American Indian residents live in Blanchard at 3% compared to 0% in Sylvania.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Blanchard | Sylvania |
|---|---|---|
| Mental Health Not Good | 16.5% | 18.9% |
| Physical Health Not Good | 10.7% | 14.4% |
| Depression | 24.1% | 21.8% |
| Smoking | 16.5% | 21.8% |
| Binge Drinking | 16.0% | 13.6% |
| Obesity | 38.2% | 40.5% |
| Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Blanchard vs Sylvania
- In Sylvania, a higher percentage report poor mental health at 18.9% compared to 16.5% in Blanchard.
- Depression is more prevalent in Blanchard at 24.1% compared to 21.8% in Sylvania.
- Sylvania has a higher smoking rate at 21.8% compared to 16.5% in Blanchard.
- Binge drinking is more common in Blanchard at 16.0% compared to 13.6% in Sylvania.
- Sylvania has higher obesity rates at 40.5% compared to 38.2% in Blanchard.
- There is a higher percentage of disabled individuals in Sylvania at 16.0% compared to 11.0% in Blanchard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Blanchard | Sylvania |
|---|---|---|
| No Schooling | 0.5% (45) | 0.3% (8) |
| High School Diploma | 15.6% (1,481) | 27.1% (704) |
| Less than High School | 6.7% (631) | 18.6% (485) |
| Bachelor's Degree and Higher | 21.6% (2,052) | 10.4% (271) |
Education Levels Comparison: Blanchard vs Sylvania
- A higher percentage of residents in Blanchard have no formal schooling at 0.5% compared to 0.3% in Sylvania.
- In Sylvania, the rate of residents with high school diplomas is higher at 27.1% compared to 15.6% in Blanchard.
- The percentage of residents with less than a high school education is higher in Sylvania at 18.6%, compared to 6.7% in Blanchard.
- A higher percentage of residents in Blanchard hold a bachelor's degree or higher at 21.6% 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.