Demographics details for Jefferson, OR vs Wyandotte, MI
Population Overview
Compare main population characteristics in Jefferson, OR vs Wyandotte, MI.
| Data | Jefferson | Wyandotte |
|---|---|---|
| Population | 3,304 | 24,503 |
| Median Age | 31.7 years | 39.6 years |
| Median Income | $87,604 | $62,111 |
| Married Families | 39.0% | 35.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Jefferson vs Wyandotte
- The population in Wyandotte is higher at 24,503, compared to 3,304 in Jefferson.
- The median age in Wyandotte is higher at 39.6 years, compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604 compared to $62,111 in Wyandotte.
- A higher percentage of married families is found in Jefferson at 39.0% compared to 35.0% in Wyandotte.
- The poverty level is identical in both Jefferson and Wyandotte at 10%.
- Wyandotte has a higher unemployment rate at 4.2% compared to 3.5% in Jefferson.
Demographics
Demographics Jefferson vs Wyandotte provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Wyandotte |
|---|---|---|
| Black | 2 | 2 |
| White | 67 | 85 |
| Asian | Data is updating | 1 |
| Hispanic | 20 | 7 |
| Two or More Races | 10 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Jefferson vs Wyandotte
- The percentage of Black residents is the same in both Jefferson and Wyandotte at 2%.
- The percentage of White residents is higher in Wyandotte at 85% compared to 67% in Jefferson.
- In Wyandotte, the Asian population stands at 1%, greater than 0% in Jefferson.
- The Hispanic community is larger in Jefferson at 20% compared to 7% in Wyandotte.
- More residents identify as two or more races in Jefferson at 10% compared to 5% in Wyandotte.
- A greater percentage of American Indian residents live in Jefferson at 1% compared to 0% in Wyandotte.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Wyandotte |
|---|---|---|
| Mental Health Not Good | 18.4% | 17.6% |
| Physical Health Not Good | 12.0% | 11.5% |
| Depression | 28.9% | 25.3% |
| Smoking | 16.5% | 20.8% |
| Binge Drinking | 16.4% | 19.5% |
| Obesity | 36.5% | 32.1% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Jefferson vs Wyandotte
- More residents in Jefferson report poor mental health at 18.4% compared to 17.6% in Wyandotte.
- Depression is more prevalent in Jefferson at 28.9% compared to 25.3% in Wyandotte.
- Wyandotte has a higher smoking rate at 20.8% compared to 16.5% in Jefferson.
- More residents engage in binge drinking in Wyandotte at 19.5% compared to 16.4% in Jefferson.
- Obesity rates are higher in Jefferson at 36.5% compared to 32.1% in Wyandotte.
- There is a higher percentage of disabled individuals in Wyandotte 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 | Wyandotte |
|---|---|---|
| No Schooling | 2.4% (78) | 1.1% (280) |
| High School Diploma | 13.0% (430) | 21.6% (5,291) |
| Less than High School | 13.9% (458) | 12.0% (2,952) |
| Bachelor's Degree and Higher | 11.0% (363) | 16.2% (3,980) |
Education Levels Comparison: Jefferson vs Wyandotte
- A higher percentage of residents in Jefferson have no formal schooling at 2.4% compared to 1.1% in Wyandotte.
- In Wyandotte, the rate of residents with high school diplomas is higher at 21.6% compared to 13.0% in Jefferson.
- More residents in Jefferson have less than a high school education at 13.9% compared to 12.0% in Wyandotte.
- In Wyandotte, a larger share of residents have a bachelor's degree or higher at 16.2% compared to 11.0% 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.