Demographics details for Jefferson, WI vs Kirkland, WA
Population Overview
Compare main population characteristics in Jefferson, WI vs Kirkland, WA.
| Data | Jefferson | Kirkland |
|---|---|---|
| Population | 7,649 | 92,151 |
| Median Age | 44.8 years | 38.0 years |
| Median Income | $69,844 | $135,608 |
| Married Families | 37.0% | 45.0% |
| Poverty Level | 5% | 7% |
| Unemployment Rate | 3.5 | 4.4 |
Population Comparison: Jefferson vs Kirkland
- The population in Kirkland is higher at 92,151, compared to 7,649 in Jefferson.
- Residents in Jefferson have a higher median age of 44.8 years compared to 38.0 years in Kirkland.
- Kirkland has a higher median income of $135,608, compared to $69,844 in Jefferson.
- In Kirkland, the percentage of married families is higher at 45.0%, compared to 37.0% in Jefferson.
- The poverty level is higher in Kirkland at 7%, compared to 5% in Jefferson.
- Kirkland has a higher unemployment rate at 4.4% compared to 3.5% in Jefferson.
Demographics
Demographics Jefferson vs Kirkland provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Kirkland |
|---|---|---|
| Black | 2 | 2 |
| White | 79 | 64 |
| Asian | Data is updating | 17 |
| Hispanic | 15 | 8 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Jefferson vs Kirkland
- The percentage of Black residents is the same in both Jefferson and Kirkland at 2%.
- Jefferson has a higher percentage of White residents at 79% compared to 64% in Kirkland.
- In Kirkland, the Asian population stands at 17%, greater than 0% in Jefferson.
- The Hispanic community is larger in Jefferson at 15% compared to 8% in Kirkland.
- The percentage of residents identifying as two or more races is higher in Kirkland at 8%, compared to 4% in Jefferson.
- In Kirkland, the percentage of American Indian residents is higher at 1%, compared to 0% in Jefferson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Kirkland |
|---|---|---|
| Mental Health Not Good | 14.7% | 14.5% |
| Physical Health Not Good | 9.8% | 7.9% |
| Depression | 22.9% | 23.9% |
| Smoking | 15.3% | 7.8% |
| Binge Drinking | 24.2% | 18.5% |
| Obesity | 33.7% | 22.7% |
| Disability Percentage | 13.0% | 8.0% |
Health Statistics Comparison: Jefferson vs Kirkland
- More residents in Jefferson report poor mental health at 14.7% compared to 14.5% in Kirkland.
- Higher depression rates are seen in Kirkland at 23.9% versus 22.9% in Jefferson.
- Smoking is more prevalent in Jefferson at 15.3% compared to 7.8% in Kirkland.
- Binge drinking is more common in Jefferson at 24.2% compared to 18.5% in Kirkland.
- Obesity rates are higher in Jefferson at 33.7% compared to 22.7% in Kirkland.
- Disability percentages are higher in Jefferson at 13.0% compared to 8.0% in Kirkland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Kirkland |
|---|---|---|
| No Schooling | 2.8% (215) | 0.7% (602) |
| High School Diploma | 24.4% (1,865) | 7.2% (6,680) |
| Less than High School | 13.3% (1,019) | 3.9% (3,624) |
| Bachelor's Degree and Higher | 16.4% (1,254) | 45.5% (41,904) |
Education Levels Comparison: Jefferson vs Kirkland
- A higher percentage of residents in Jefferson have no formal schooling at 2.8% compared to 0.7% in Kirkland.
- A higher percentage of residents in Jefferson hold a high school diploma at 24.4% compared to 7.2% in Kirkland.
- More residents in Jefferson have less than a high school education at 13.3% compared to 3.9% in Kirkland.
- In Kirkland, a larger share of residents have a bachelor's degree or higher at 45.5% 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.