Demographics details for Kirkland, WA vs La crosse, WI
Population Overview
Compare main population characteristics in Kirkland, WA vs La crosse, WI.
| Data | Kirkland | La crosse |
|---|---|---|
| Population | 92,151 | 51,380 |
| Median Age | 38.0 years | 30.0 years |
| Median Income | $135,608 | $51,836 |
| Married Families | 45.0% | 26.0% |
| Poverty Level | 7% | 10% |
| Unemployment Rate | 4.4 | 3.2 |
Population Comparison: Kirkland vs La crosse
- In Kirkland, the population is higher at 92,151, compared to 51,380 in La crosse.
- Residents in Kirkland have a higher median age of 38.0 years compared to 30.0 years in La crosse.
- Kirkland has a higher median income of $135,608 compared to $51,836 in La crosse.
- A higher percentage of married families is found in Kirkland at 45.0% compared to 26.0% in La crosse.
- The poverty level is higher in La crosse at 10%, compared to 7% in Kirkland.
- The unemployment rate in Kirkland is higher at 4.4%, compared to 3.2% in La crosse.
Demographics
Demographics Kirkland vs La crosse provide insight into the diversity of the communities to compare.
| Demographic | Kirkland | La crosse |
|---|---|---|
| Black | 2 | 2 |
| White | 64 | 88 |
| Asian | 17 | 4 |
| Hispanic | 8 | 2 |
| Two or More Races | 8 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kirkland vs La crosse
- The percentage of Black residents is the same in both Kirkland and La crosse at 2%.
- The percentage of White residents is higher in La crosse at 88% compared to 64% in Kirkland.
- The Asian population is larger in Kirkland at 17% compared to 4% in La crosse.
- The Hispanic community is larger in Kirkland at 8% compared to 2% in La crosse.
- More residents identify as two or more races in Kirkland at 8% compared to 4% in La crosse.
- A greater percentage of American Indian residents live in Kirkland at 1% compared to 0% in La crosse.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kirkland | La crosse |
|---|---|---|
| Mental Health Not Good | 14.5% | 15.8% |
| Physical Health Not Good | 7.9% | 10.5% |
| Depression | 23.9% | 25.7% |
| Smoking | 7.8% | 16.8% |
| Binge Drinking | 18.5% | 23.1% |
| Obesity | 22.7% | 36.9% |
| Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Kirkland vs La crosse
- In La crosse, a higher percentage report poor mental health at 15.8% compared to 14.5% in Kirkland.
- Higher depression rates are seen in La crosse at 25.7% versus 23.9% in Kirkland.
- La crosse has a higher smoking rate at 16.8% compared to 7.8% in Kirkland.
- More residents engage in binge drinking in La crosse at 23.1% compared to 18.5% in Kirkland.
- La crosse has higher obesity rates at 36.9% compared to 22.7% in Kirkland.
- There is a higher percentage of disabled individuals in La crosse at 12.0% 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 | Kirkland | La crosse |
|---|---|---|
| No Schooling | 0.7% (602) | 0.5% (232) |
| High School Diploma | 7.2% (6,680) | 13.6% (6,986) |
| Less than High School | 3.9% (3,624) | 5.3% (2,721) |
| Bachelor's Degree and Higher | 45.5% (41,904) | 20.8% (10,707) |
Education Levels Comparison: Kirkland vs La crosse
- A higher percentage of residents in Kirkland have no formal schooling at 0.7% compared to 0.5% in La crosse.
- In La crosse, the rate of residents with high school diplomas is higher at 13.6% compared to 7.2% in Kirkland.
- The percentage of residents with less than a high school education is higher in La crosse at 5.3%, compared to 3.9% in Kirkland.
- A higher percentage of residents in Kirkland hold a bachelor's degree or higher at 45.5% compared to 20.8% in La crosse.
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.