Demographics details for Swan lake, NY vs Kirkland, WA
Population Overview
Compare main population characteristics in Swan lake, NY vs Kirkland, WA.
Data | Swan lake | Kirkland |
---|---|---|
Population | 331 | 92,151 |
Median Age | 40.0 years | 38.0 years |
Median Income | $55,000 | $135,608 |
Married Families | 52.0% | 45.0% |
Poverty Level | 5% | 7% |
Unemployment Rate | 3.0 | 4.4 |
Population Comparison: Swan lake vs Kirkland
- The population in Kirkland is higher at 92,151, compared to 331 in Swan lake.
- Residents in Swan lake have a higher median age of 40.0 years compared to 38.0 years in Kirkland.
- Kirkland has a higher median income of $135,608, compared to $55,000 in Swan lake.
- A higher percentage of married families is found in Swan lake at 52.0% compared to 45.0% in Kirkland.
- The poverty level is higher in Kirkland at 7%, compared to 5% in Swan lake.
- Kirkland has a higher unemployment rate at 4.4% compared to 3.0% in Swan lake.
Demographics
Demographics Swan lake vs Kirkland provide insight into the diversity of the communities to compare.
Demographic | Swan lake | Kirkland |
---|---|---|
Black | 5 | 2 |
White | 80 | 64 |
Asian | 10 | 17 |
Hispanic | 5 | 8 |
Two or More Races | Data is updating | 8 |
American Indian | Data is updating | 1 |
Demographics Comparison: Swan lake vs Kirkland
- A higher percentage of Black residents are in Swan lake at 5% compared to 2% in Kirkland.
- Swan lake has a higher percentage of White residents at 80% compared to 64% in Kirkland.
- In Kirkland, the Asian population stands at 17%, greater than 10% in Swan lake.
- Kirkland has a higher percentage of Hispanic residents at 8%, compared to 5% in Swan lake.
- The percentage of residents identifying as two or more races is higher in Kirkland at 8%, compared to 0% in Swan lake.
- In Kirkland, the percentage of American Indian residents is higher at 1%, compared to 0% in Swan lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Swan lake | Kirkland |
---|---|---|
Mental Health Not Good | Data is updating% | 14.5% |
Physical Health Not Good | Data is updating% | 7.9% |
Depression | Data is updating% | 23.9% |
Smoking | Data is updating% | 7.8% |
Binge Drinking | Data is updating% | 18.5% |
Obesity | Data is updating% | 22.7% |
Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Swan lake vs Kirkland
- In Kirkland, a higher percentage report poor mental health at 14.5% compared to 0.0% in Swan lake.
- Higher depression rates are seen in Kirkland at 23.9% versus 0.0% in Swan lake.
- Kirkland has a higher smoking rate at 7.8% compared to 0.0% in Swan lake.
- More residents engage in binge drinking in Kirkland at 18.5% compared to 0.0% in Swan lake.
- Kirkland has higher obesity rates at 22.7% compared to 0.0% in Swan lake.
- There is a higher percentage of disabled individuals in Kirkland at 8.0% compared to 0.0% in Swan lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Swan lake | Kirkland |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.7% (602) |
High School Diploma | 0.0% (Data is updating) | 7.2% (6,680) |
Less than High School | 0.0% (Data is updating) | 3.9% (3,624) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 45.5% (41,904) |
Education Levels Comparison: Swan lake vs Kirkland
- In Kirkland, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Swan lake.
- In Kirkland, the rate of residents with high school diplomas is higher at 7.2% compared to 0.0% in Swan lake.
- The percentage of residents with less than a high school education is higher in Kirkland at 3.9%, compared to 0.0% in Swan lake.
- In Kirkland, a larger share of residents have a bachelor's degree or higher at 45.5% compared to 0.0% in Swan lake.
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.