Demographics details for Westland, MI vs Jefferson, WI
Population Overview
Compare main population characteristics in Westland, MI vs Jefferson, WI.
| Data | Westland | Jefferson |
|---|---|---|
| Population | 84,037 | 7,649 |
| Median Age | 38.3 years | 44.8 years |
| Median Income | $59,930 | $69,844 |
| Married Families | 32.0% | 37.0% |
| Poverty Level | 8% | 5% |
| Unemployment Rate | 4.4 | 3.5 |
Population Comparison: Westland vs Jefferson
- In Westland, the population is higher at 84,037, compared to 7,649 in Jefferson.
- The median age in Jefferson is higher at 44.8 years, compared to 38.3 years in Westland.
- Jefferson has a higher median income of $69,844, compared to $59,930 in Westland.
- In Jefferson, the percentage of married families is higher at 37.0%, compared to 32.0% in Westland.
- Westland has a higher poverty level at 8% compared to 5% in Jefferson.
- The unemployment rate in Westland is higher at 4.4%, compared to 3.5% in Jefferson.
Demographics
Demographics Westland vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Westland | Jefferson |
|---|---|---|
| Black | 22 | 2 |
| White | 61 | 79 |
| Asian | 4 | Data is updating |
| Hispanic | 5 | 15 |
| Two or More Races | 7 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Westland vs Jefferson
- A higher percentage of Black residents are in Westland at 22% compared to 2% in Jefferson.
- The percentage of White residents is higher in Jefferson at 79% compared to 61% in Westland.
- The Asian population is larger in Westland at 4% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 15%, compared to 5% in Westland.
- More residents identify as two or more races in Westland at 7% compared to 4% in Jefferson.
- A greater percentage of American Indian residents live in Westland at 1% compared to 0% in Jefferson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Westland | Jefferson |
|---|---|---|
| Mental Health Not Good | 17.4% | 14.7% |
| Physical Health Not Good | 11.5% | 9.8% |
| Depression | 23.8% | 22.9% |
| Smoking | 20.7% | 15.3% |
| Binge Drinking | 18.2% | 24.2% |
| Obesity | 33.2% | 33.7% |
| Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Westland vs Jefferson
- More residents in Westland report poor mental health at 17.4% compared to 14.7% in Jefferson.
- Depression is more prevalent in Westland at 23.8% compared to 22.9% in Jefferson.
- Smoking is more prevalent in Westland at 20.7% compared to 15.3% in Jefferson.
- More residents engage in binge drinking in Jefferson at 24.2% compared to 18.2% in Westland.
- Jefferson has higher obesity rates at 33.7% compared to 33.2% in Westland.
- Disability percentages are higher in Westland 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 | Westland | Jefferson |
|---|---|---|
| No Schooling | 0.7% (605) | 2.8% (215) |
| High School Diploma | 19.6% (16,482) | 24.4% (1,865) |
| Less than High School | 11.9% (9,973) | 13.3% (1,019) |
| Bachelor's Degree and Higher | 15.7% (13,196) | 16.4% (1,254) |
Education Levels Comparison: Westland vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.8% compared to 0.7% in Westland.
- In Jefferson, the rate of residents with high school diplomas is higher at 24.4% compared to 19.6% in Westland.
- The percentage of residents with less than a high school education is higher in Jefferson at 13.3%, compared to 11.9% in Westland.
- In Jefferson, a larger share of residents have a bachelor's degree or higher at 16.4% compared to 15.7% in Westland.
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.