Demographics details for Ewa beach, HI vs Williams bay, WI
Population Overview
Compare main population characteristics in Ewa beach, HI vs Williams bay, WI.
Data | Ewa beach | Williams bay |
---|---|---|
Population | 15,167 | 2,969 |
Median Age | 40.1 years | 48.2 years |
Median Income | $114,207 | $71,250 |
Married Families | 39.0% | 43.0% |
Poverty Level | 8% | Data is updating |
Unemployment Rate | 2.5 | 3.0 |
Population Comparison: Ewa beach vs Williams bay
- In Ewa beach, the population is higher at 15,167, compared to 2,969 in Williams bay.
- The median age in Williams bay is higher at 48.2 years, compared to 40.1 years in Ewa beach.
- Ewa beach has a higher median income of $114,207 compared to $71,250 in Williams bay.
- In Williams bay, the percentage of married families is higher at 43.0%, compared to 39.0% in Ewa beach.
- Ewa beach has a higher poverty level at 8% compared to 0% in Williams bay.
- Williams bay has a higher unemployment rate at 3.0% compared to 2.5% in Ewa beach.
Demographics
Demographics Ewa beach vs Williams bay provide insight into the diversity of the communities to compare.
Demographic | Ewa beach | Williams bay |
---|---|---|
Black | Data is updating | Data is updating |
White | 7 | 91 |
Asian | 54 | Data is updating |
Hispanic | 11 | 8 |
Two or More Races | 28 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Ewa beach vs Williams bay
- The percentage of Black residents is the same in both Ewa beach and Williams bay at 0%.
- The percentage of White residents is higher in Williams bay at 91% compared to 7% in Ewa beach.
- The Asian population is larger in Ewa beach at 54% compared to 0% in Williams bay.
- The Hispanic community is larger in Ewa beach at 11% compared to 8% in Williams bay.
- More residents identify as two or more races in Ewa beach at 28% compared to 1% in Williams bay.
- The percentage of American Indian residents is the same in both Ewa beach and Williams bay at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ewa beach | Williams bay |
---|---|---|
Mental Health Not Good | 13.5% | 14.3% |
Physical Health Not Good | 8.7% | 9.1% |
Depression | 11.9% | 22.8% |
Smoking | 13.0% | 13.3% |
Binge Drinking | 16.8% | 24.1% |
Obesity | 25.0% | 36.4% |
Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Ewa beach vs Williams bay
- In Williams bay, a higher percentage report poor mental health at 14.3% compared to 13.5% in Ewa beach.
- Higher depression rates are seen in Williams bay at 22.8% versus 11.9% in Ewa beach.
- Williams bay has a higher smoking rate at 13.3% compared to 13.0% in Ewa beach.
- More residents engage in binge drinking in Williams bay at 24.1% compared to 16.8% in Ewa beach.
- Williams bay has higher obesity rates at 36.4% compared to 25.0% in Ewa beach.
- There is a higher percentage of disabled individuals in Williams bay at 19.0% 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 | Ewa beach | Williams bay |
---|---|---|
No Schooling | 2.2% (336) | 0.3% (9) |
High School Diploma | 23.9% (3,619) | 11.6% (345) |
Less than High School | 9.3% (1,409) | 1.4% (43) |
Bachelor's Degree and Higher | 14.8% (2,251) | 34.6% (1,028) |
Education Levels Comparison: Ewa beach vs Williams bay
- A higher percentage of residents in Ewa beach have no formal schooling at 2.2% compared to 0.3% in Williams bay.
- A higher percentage of residents in Ewa beach hold a high school diploma at 23.9% compared to 11.6% in Williams bay.
- More residents in Ewa beach have less than a high school education at 9.3% compared to 1.4% in Williams bay.
- In Williams bay, a larger share of residents have a bachelor's degree or higher at 34.6% 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.