Demographics details for Woodinville, WA vs Ewa beach, HI
Population Overview
Compare main population characteristics in Woodinville, WA vs Ewa beach, HI.
Data | Woodinville | Ewa beach |
---|---|---|
Population | 13,261 | 15,167 |
Median Age | 40.6 years | 40.1 years |
Median Income | $142,500 | $114,207 |
Married Families | 49.0% | 39.0% |
Poverty Level | Data is updating | 8% |
Unemployment Rate | 4.1 | 2.5 |
Population Comparison: Woodinville vs Ewa beach
- The population in Ewa beach is higher at 15,167, compared to 13,261 in Woodinville.
- Residents in Woodinville have a higher median age of 40.6 years compared to 40.1 years in Ewa beach.
- Woodinville has a higher median income of $142,500 compared to $114,207 in Ewa beach.
- A higher percentage of married families is found in Woodinville at 49.0% compared to 39.0% in Ewa beach.
- The poverty level is higher in Ewa beach at 8%, compared to 0% in Woodinville.
- The unemployment rate in Woodinville is higher at 4.1%, compared to 2.5% in Ewa beach.
Demographics
Demographics Woodinville vs Ewa beach provide insight into the diversity of the communities to compare.
Demographic | Woodinville | Ewa beach |
---|---|---|
Black | 2 | Data is updating |
White | 67 | 7 |
Asian | 17 | 54 |
Hispanic | 9 | 11 |
Two or More Races | 5 | 28 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodinville vs Ewa beach
- A higher percentage of Black residents are in Woodinville at 2% compared to 0% in Ewa beach.
- Woodinville has a higher percentage of White residents at 67% compared to 7% in Ewa beach.
- In Ewa beach, the Asian population stands at 54%, greater than 17% in Woodinville.
- Ewa beach has a higher percentage of Hispanic residents at 11%, compared to 9% in Woodinville.
- The percentage of residents identifying as two or more races is higher in Ewa beach at 28%, compared to 5% in Woodinville.
- The percentage of American Indian residents is the same in both Woodinville and Ewa beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Woodinville | Ewa beach |
---|---|---|
Mental Health Not Good | 15.0% | 13.5% |
Physical Health Not Good | 8.2% | 8.7% |
Depression | 24.3% | 11.9% |
Smoking | 8.6% | 13.0% |
Binge Drinking | 18.6% | 16.8% |
Obesity | 23.0% | 25.0% |
Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Woodinville vs Ewa beach
- More residents in Woodinville report poor mental health at 15.0% compared to 13.5% in Ewa beach.
- Depression is more prevalent in Woodinville at 24.3% compared to 11.9% in Ewa beach.
- Ewa beach has a higher smoking rate at 13.0% compared to 8.6% in Woodinville.
- Binge drinking is more common in Woodinville at 18.6% compared to 16.8% in Ewa beach.
- Ewa beach has higher obesity rates at 25.0% compared to 23.0% in Woodinville.
- Disability percentages are higher in Woodinville at 11.0% compared to 10.0% in Ewa beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Woodinville | Ewa beach |
---|---|---|
No Schooling | 0.2% (21) | 2.2% (336) |
High School Diploma | 7.4% (985) | 23.9% (3,619) |
Less than High School | 2.6% (349) | 9.3% (1,409) |
Bachelor's Degree and Higher | 46.5% (6,169) | 14.8% (2,251) |
Education Levels Comparison: Woodinville vs Ewa beach
- In Ewa beach, a larger percentage of residents lack formal schooling at 2.2% compared to 0.2% in Woodinville.
- In Ewa beach, the rate of residents with high school diplomas is higher at 23.9% compared to 7.4% in Woodinville.
- The percentage of residents with less than a high school education is higher in Ewa beach at 9.3%, compared to 2.6% in Woodinville.
- A higher percentage of residents in Woodinville hold a bachelor's degree or higher at 46.5% compared to 14.8% in Ewa beach.
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.