Demographics details for White swan, WA vs Seth, WV
Population Overview
Compare main population characteristics in White swan, WA vs Seth, WV.
| Data | White swan | Seth |
|---|---|---|
| Population | 561 | 425 |
| Median Age | 24.5 years | 38.0 years |
| Median Income | $51,667 | $43,830 |
| Married Families | 13.0% | 64.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 8.2 | 5.2 |
Population Comparison: White swan vs Seth
- In White swan, the population is higher at 561, compared to 425 in Seth.
- The median age in Seth is higher at 38.0 years, compared to 24.5 years in White swan.
- White swan has a higher median income of $51,667 compared to $43,830 in Seth.
- In Seth, the percentage of married families is higher at 64.0%, compared to 13.0% in White swan.
- The poverty level is identical in both White swan and Seth at 12%.
- The unemployment rate in White swan is higher at 8.2%, compared to 5.2% in Seth.
Demographics
Demographics White swan vs Seth provide insight into the diversity of the communities to compare.
| Demographic | White swan | Seth |
|---|---|---|
| Black | Data is updating | 2.4 |
| White | -6 | 95.9 |
| Asian | Data is updating | 0.5 |
| Hispanic | 26 | Data is updating |
| Two or More Races | 10 | 1.2 |
| American Indian | 70 | Data is updating |
Demographics Comparison: White swan vs Seth
- In Seth, the percentage of Black residents is higher at 2.4% compared to 0% in White swan.
- The percentage of White residents is higher in Seth at 95.9% compared to -6% in White swan.
- In Seth, the Asian population stands at 0.5%, greater than 0% in White swan.
- The Hispanic community is larger in White swan at 26% compared to 0.0% in Seth.
- More residents identify as two or more races in White swan at 10% compared to 1.2% in Seth.
- A greater percentage of American Indian residents live in White swan at 70% compared to 0.0% in Seth.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White swan | Seth |
|---|---|---|
| Mental Health Not Good | 22.0% | Data is updating% |
| Physical Health Not Good | 18.1% | Data is updating% |
| Depression | 24.7% | Data is updating% |
| Smoking | 26.0% | Data is updating% |
| Binge Drinking | 15.8% | Data is updating% |
| Obesity | 43.8% | Data is updating% |
| Disability Percentage | 21.0% | Data is updating% |
Health Statistics Comparison: White swan vs Seth
- More residents in White swan report poor mental health at 22.0% compared to 0.0% in Seth.
- Depression is more prevalent in White swan at 24.7% compared to 0.0% in Seth.
- Smoking is more prevalent in White swan at 26.0% compared to 0.0% in Seth.
- Binge drinking is more common in White swan at 15.8% compared to 0.0% in Seth.
- Obesity rates are higher in White swan at 43.8% compared to 0.0% in Seth.
- Disability percentages are higher in White swan at 21.0% compared to 0.0% in Seth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | White swan | Seth |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 16.4% (92) | 0.0% (Data is updating) |
| Less than High School | 24.8% (139) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 0.9% (5) | 0.0% (Data is updating) |
Education Levels Comparison: White swan vs Seth
- The percentage of residents with no formal schooling is the same in both White swan and Seth at 0.0%.
- A higher percentage of residents in White swan hold a high school diploma at 16.4% compared to 0.0% in Seth.
- More residents in White swan have less than a high school education at 24.8% compared to 0.0% in Seth.
- A higher percentage of residents in White swan hold a bachelor's degree or higher at 0.9% compared to 0.0% in Seth.
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.