Demographics details for Jefferson, WI vs Ellsworth, MI
Population Overview
Compare main population characteristics in Jefferson, WI vs Ellsworth, MI.
| Data | Jefferson | Ellsworth |
|---|---|---|
| Population | 7,649 | 358 |
| Median Age | 44.8 years | 41.7 years |
| Median Income | $69,844 | $56,250 |
| Married Families | 37.0% | 38.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Jefferson vs Ellsworth
- In Jefferson, the population is higher at 7,649, compared to 358 in Ellsworth.
- Residents in Jefferson have a higher median age of 44.8 years compared to 41.7 years in Ellsworth.
- Jefferson has a higher median income of $69,844 compared to $56,250 in Ellsworth.
- In Ellsworth, the percentage of married families is higher at 38.0%, compared to 37.0% in Jefferson.
- The poverty level is higher in Ellsworth at 10%, compared to 5% in Jefferson.
- Ellsworth has a higher unemployment rate at 4.2% compared to 3.5% in Jefferson.
Demographics
Demographics Jefferson vs Ellsworth provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Ellsworth |
|---|---|---|
| Black | 2 | 4 |
| White | 79 | 90 |
| Asian | Data is updating | 1 |
| Hispanic | 15 | 1 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Jefferson vs Ellsworth
- In Ellsworth, the percentage of Black residents is higher at 4% compared to 2% in Jefferson.
- The percentage of White residents is higher in Ellsworth at 90% compared to 79% in Jefferson.
- In Ellsworth, the Asian population stands at 1%, greater than 0% in Jefferson.
- The Hispanic community is larger in Jefferson at 15% compared to 1% in Ellsworth.
- Both Jefferson and Ellsworth have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Jefferson and Ellsworth at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Ellsworth |
|---|---|---|
| Mental Health Not Good | 14.7% | 16.2% |
| Physical Health Not Good | 9.8% | 9.8% |
| Depression | 22.9% | 24.9% |
| Smoking | 15.3% | 15.6% |
| Binge Drinking | 24.2% | 19.3% |
| Obesity | 33.7% | 34.3% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Jefferson vs Ellsworth
- In Ellsworth, a higher percentage report poor mental health at 16.2% compared to 14.7% in Jefferson.
- Higher depression rates are seen in Ellsworth at 24.9% versus 22.9% in Jefferson.
- Ellsworth has a higher smoking rate at 15.6% compared to 15.3% in Jefferson.
- Binge drinking is more common in Jefferson at 24.2% compared to 19.3% in Ellsworth.
- Ellsworth has higher obesity rates at 34.3% compared to 33.7% in Jefferson.
- Disability percentages are the same in both Jefferson and Ellsworth at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Ellsworth |
|---|---|---|
| No Schooling | 2.8% (215) | 0.3% (1) |
| High School Diploma | 24.4% (1,865) | 19.6% (70) |
| Less than High School | 13.3% (1,019) | 2.2% (8) |
| Bachelor's Degree and Higher | 16.4% (1,254) | 14.2% (51) |
Education Levels Comparison: Jefferson vs Ellsworth
- A higher percentage of residents in Jefferson have no formal schooling at 2.8% compared to 0.3% in Ellsworth.
- A higher percentage of residents in Jefferson hold a high school diploma at 24.4% compared to 19.6% in Ellsworth.
- More residents in Jefferson have less than a high school education at 13.3% compared to 2.2% in Ellsworth.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 16.4% compared to 14.2% in Ellsworth.
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.