Demographics details for Jefferson, WI vs Dixon, CA
Population Overview
Compare main population characteristics in Jefferson, WI vs Dixon, CA.
| Data | Jefferson | Dixon |
|---|---|---|
| Population | 7,649 | 19,143 |
| Median Age | 44.8 years | 33.5 years |
| Median Income | $69,844 | $92,138 |
| Married Families | 37.0% | 38.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Jefferson vs Dixon
- The population in Dixon is higher at 19,143, compared to 7,649 in Jefferson.
- Residents in Jefferson have a higher median age of 44.8 years compared to 33.5 years in Dixon.
- Dixon has a higher median income of $92,138, compared to $69,844 in Jefferson.
- In Dixon, the percentage of married families is higher at 38.0%, compared to 37.0% in Jefferson.
- The poverty level is higher in Dixon at 10%, compared to 5% in Jefferson.
- Dixon has a higher unemployment rate at 5.2% compared to 3.5% in Jefferson.
Demographics
Demographics Jefferson vs Dixon provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Dixon |
|---|---|---|
| Black | 2 | 2 |
| White | 79 | 40 |
| Asian | Data is updating | 3 |
| Hispanic | 15 | 41 |
| Two or More Races | 4 | 14 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Jefferson vs Dixon
- The percentage of Black residents is the same in both Jefferson and Dixon at 2%.
- Jefferson has a higher percentage of White residents at 79% compared to 40% in Dixon.
- In Dixon, the Asian population stands at 3%, greater than 0% in Jefferson.
- Dixon has a higher percentage of Hispanic residents at 41%, compared to 15% in Jefferson.
- The percentage of residents identifying as two or more races is higher in Dixon at 14%, compared to 4% in Jefferson.
- The percentage of American Indian residents is the same in both Jefferson and Dixon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Dixon |
|---|---|---|
| Mental Health Not Good | 14.7% | 16.7% |
| Physical Health Not Good | 9.8% | 11.7% |
| Depression | 22.9% | 19.8% |
| Smoking | 15.3% | 12.9% |
| Binge Drinking | 24.2% | 17.2% |
| Obesity | 33.7% | 31.6% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Jefferson vs Dixon
- In Dixon, a higher percentage report poor mental health at 16.7% compared to 14.7% in Jefferson.
- Depression is more prevalent in Jefferson at 22.9% compared to 19.8% in Dixon.
- Smoking is more prevalent in Jefferson at 15.3% compared to 12.9% in Dixon.
- Binge drinking is more common in Jefferson at 24.2% compared to 17.2% in Dixon.
- Obesity rates are higher in Jefferson at 33.7% compared to 31.6% in Dixon.
- Disability percentages are higher in Jefferson at 13.0% compared to 11.0% in Dixon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Dixon |
|---|---|---|
| No Schooling | 2.8% (215) | 2.0% (380) |
| High School Diploma | 24.4% (1,865) | 15.7% (3,013) |
| Less than High School | 13.3% (1,019) | 18.1% (3,473) |
| Bachelor's Degree and Higher | 16.4% (1,254) | 14.1% (2,695) |
Education Levels Comparison: Jefferson vs Dixon
- A higher percentage of residents in Jefferson have no formal schooling at 2.8% compared to 2.0% in Dixon.
- A higher percentage of residents in Jefferson hold a high school diploma at 24.4% compared to 15.7% in Dixon.
- The percentage of residents with less than a high school education is higher in Dixon at 18.1%, compared to 13.3% in Jefferson.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 16.4% compared to 14.1% in Dixon.
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.