Demographics details for Jefferson, WI vs Smyrna, DE
Population Overview
Compare main population characteristics in Jefferson, WI vs Smyrna, DE.
| Data | Jefferson | Smyrna |
|---|---|---|
| Population | 7,649 | 13,294 |
| Median Age | 44.8 years | 34.2 years |
| Median Income | $69,844 | $68,260 |
| Married Families | 37.0% | 34.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Jefferson vs Smyrna
- The population in Smyrna is higher at 13,294, compared to 7,649 in Jefferson.
- Residents in Jefferson have a higher median age of 44.8 years compared to 34.2 years in Smyrna.
- Jefferson has a higher median income of $69,844 compared to $68,260 in Smyrna.
- A higher percentage of married families is found in Jefferson at 37.0% compared to 34.0% in Smyrna.
- The poverty level is higher in Smyrna at 8%, compared to 5% in Jefferson.
- Smyrna has a higher unemployment rate at 4.0% compared to 3.5% in Jefferson.
Demographics
Demographics Jefferson vs Smyrna provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Smyrna |
|---|---|---|
| Black | 2 | 34 |
| White | 79 | 47 |
| Asian | Data is updating | 3 |
| Hispanic | 15 | 7 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Jefferson vs Smyrna
- In Smyrna, the percentage of Black residents is higher at 34% compared to 2% in Jefferson.
- Jefferson has a higher percentage of White residents at 79% compared to 47% in Smyrna.
- In Smyrna, the Asian population stands at 3%, greater than 0% in Jefferson.
- The Hispanic community is larger in Jefferson at 15% compared to 7% in Smyrna.
- The percentage of residents identifying as two or more races is higher in Smyrna at 9%, compared to 4% in Jefferson.
- The percentage of American Indian residents is the same in both Jefferson and Smyrna at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Smyrna |
|---|---|---|
| Mental Health Not Good | 14.7% | 16.1% |
| Physical Health Not Good | 9.8% | 10.7% |
| Depression | 22.9% | 18.9% |
| Smoking | 15.3% | 16.8% |
| Binge Drinking | 24.2% | 13.8% |
| Obesity | 33.7% | 40.1% |
| Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Jefferson vs Smyrna
- In Smyrna, a higher percentage report poor mental health at 16.1% compared to 14.7% in Jefferson.
- Depression is more prevalent in Jefferson at 22.9% compared to 18.9% in Smyrna.
- Smyrna has a higher smoking rate at 16.8% compared to 15.3% in Jefferson.
- Binge drinking is more common in Jefferson at 24.2% compared to 13.8% in Smyrna.
- Smyrna has higher obesity rates at 40.1% compared to 33.7% in Jefferson.
- Disability percentages are higher in Jefferson at 13.0% compared to 10.0% in Smyrna.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Smyrna |
|---|---|---|
| No Schooling | 2.8% (215) | 0.6% (80) |
| High School Diploma | 24.4% (1,865) | 21.7% (2,889) |
| Less than High School | 13.3% (1,019) | 8.2% (1,088) |
| Bachelor's Degree and Higher | 16.4% (1,254) | 14.0% (1,867) |
Education Levels Comparison: Jefferson vs Smyrna
- A higher percentage of residents in Jefferson have no formal schooling at 2.8% compared to 0.6% in Smyrna.
- A higher percentage of residents in Jefferson hold a high school diploma at 24.4% compared to 21.7% in Smyrna.
- More residents in Jefferson have less than a high school education at 13.3% compared to 8.2% in Smyrna.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 16.4% compared to 14.0% in Smyrna.
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.