Demographics details for Jefferson, SD vs Eglon, WV
Population Overview
Compare main population characteristics in Jefferson, SD vs Eglon, WV.
| Data | Jefferson | Eglon |
|---|---|---|
| Population | 457 | 100 |
| Median Age | 37.1 years | 45.0 years |
| Median Income | $77,601 | $60,000 |
| Married Families | 59.0% | 70.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 2.3 | 5.0 |
Population Comparison: Jefferson vs Eglon
- In Jefferson, the population is higher at 457, compared to 100 in Eglon.
- The median age in Eglon is higher at 45.0 years, compared to 37.1 years in Jefferson.
- Jefferson has a higher median income of $77,601 compared to $60,000 in Eglon.
- In Eglon, the percentage of married families is higher at 70.0%, compared to 59.0% in Jefferson.
- The poverty level is higher in Eglon at 10%, compared to 5% in Jefferson.
- Eglon has a higher unemployment rate at 5.0% compared to 2.3% in Jefferson.
Demographics
Demographics Jefferson vs Eglon provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Eglon |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 85 | 95 |
| Asian | Data is updating | 2 |
| Hispanic | 6 | 1 |
| Two or More Races | 4 | 2 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Jefferson vs Eglon
- The percentage of Black residents is the same in both Jefferson and Eglon at 0%.
- The percentage of White residents is higher in Eglon at 95% compared to 85% in Jefferson.
- In Eglon, the Asian population stands at 2%, greater than 0% in Jefferson.
- The Hispanic community is larger in Jefferson at 6% compared to 1% in Eglon.
- More residents identify as two or more races in Jefferson at 4% compared to 2% in Eglon.
- A greater percentage of American Indian residents live in Jefferson at 5% compared to 0% in Eglon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Eglon |
|---|---|---|
| Mental Health Not Good | 12.5% | Data is updating% |
| Physical Health Not Good | 8.2% | Data is updating% |
| Depression | 16.7% | Data is updating% |
| Smoking | 14.5% | Data is updating% |
| Binge Drinking | 20.4% | Data is updating% |
| Obesity | 38.6% | Data is updating% |
| Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Jefferson vs Eglon
- More residents in Jefferson report poor mental health at 12.5% compared to 0.0% in Eglon.
- Depression is more prevalent in Jefferson at 16.7% compared to 0.0% in Eglon.
- Smoking is more prevalent in Jefferson at 14.5% compared to 0.0% in Eglon.
- Binge drinking is more common in Jefferson at 20.4% compared to 0.0% in Eglon.
- Obesity rates are higher in Jefferson at 38.6% compared to 0.0% in Eglon.
- Disability percentages are higher in Jefferson at 14.0% compared to 0.0% in Eglon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Eglon |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 22.3% (102) | 0.0% (Data is updating) |
| Less than High School | 7.9% (36) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 23.0% (105) | 0.0% (Data is updating) |
Education Levels Comparison: Jefferson vs Eglon
- The percentage of residents with no formal schooling is the same in both Jefferson and Eglon at 0.0%.
- A higher percentage of residents in Jefferson hold a high school diploma at 22.3% compared to 0.0% in Eglon.
- More residents in Jefferson have less than a high school education at 7.9% compared to 0.0% in Eglon.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 23.0% compared to 0.0% in Eglon.
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.