Demographics details for Jefferson, WI vs Princeton, IL
Population Overview
Compare main population characteristics in Jefferson, WI vs Princeton, IL.
| Data | Jefferson | Princeton |
|---|---|---|
| Population | 7,649 | 7,721 |
| Median Age | 44.8 years | 46.5 years |
| Median Income | $69,844 | $55,926 |
| Married Families | 37.0% | 39.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Jefferson vs Princeton
- The population in Princeton is higher at 7,721, compared to 7,649 in Jefferson.
- The median age in Princeton is higher at 46.5 years, compared to 44.8 years in Jefferson.
- Jefferson has a higher median income of $69,844 compared to $55,926 in Princeton.
- In Princeton, the percentage of married families is higher at 39.0%, compared to 37.0% in Jefferson.
- The poverty level is higher in Princeton at 8%, compared to 5% in Jefferson.
- Princeton has a higher unemployment rate at 4.0% compared to 3.5% in Jefferson.
Demographics
Demographics Jefferson vs Princeton provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Princeton |
|---|---|---|
| Black | 2 | Data is updating |
| White | 79 | 91 |
| Asian | Data is updating | 1 |
| Hispanic | 15 | 4 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Jefferson vs Princeton
- A higher percentage of Black residents are in Jefferson at 2% compared to 0% in Princeton.
- The percentage of White residents is higher in Princeton at 91% compared to 79% in Jefferson.
- In Princeton, the Asian population stands at 1%, greater than 0% in Jefferson.
- The Hispanic community is larger in Jefferson at 15% compared to 4% in Princeton.
- Both Jefferson and Princeton 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 Princeton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Princeton |
|---|---|---|
| Mental Health Not Good | 14.7% | 16.3% |
| Physical Health Not Good | 9.8% | 10.7% |
| Depression | 22.9% | 22.4% |
| Smoking | 15.3% | 16.9% |
| Binge Drinking | 24.2% | 18.1% |
| Obesity | 33.7% | 36.4% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Jefferson vs Princeton
- In Princeton, a higher percentage report poor mental health at 16.3% compared to 14.7% in Jefferson.
- Depression is more prevalent in Jefferson at 22.9% compared to 22.4% in Princeton.
- Princeton has a higher smoking rate at 16.9% compared to 15.3% in Jefferson.
- Binge drinking is more common in Jefferson at 24.2% compared to 18.1% in Princeton.
- Princeton has higher obesity rates at 36.4% compared to 33.7% in Jefferson.
- There is a higher percentage of disabled individuals in Princeton at 16.0% compared to 13.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Princeton |
|---|---|---|
| No Schooling | 2.8% (215) | 0.3% (20) |
| High School Diploma | 24.4% (1,865) | 20.9% (1,617) |
| Less than High School | 13.3% (1,019) | 11.2% (863) |
| Bachelor's Degree and Higher | 16.4% (1,254) | 20.1% (1,554) |
Education Levels Comparison: Jefferson vs Princeton
- A higher percentage of residents in Jefferson have no formal schooling at 2.8% compared to 0.3% in Princeton.
- A higher percentage of residents in Jefferson hold a high school diploma at 24.4% compared to 20.9% in Princeton.
- More residents in Jefferson have less than a high school education at 13.3% compared to 11.2% in Princeton.
- In Princeton, a larger share of residents have a bachelor's degree or higher at 20.1% compared to 16.4% in Jefferson.
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.