Demographics details for Blue mounds, WI vs Ewa beach, HI
Population Overview
Compare main population characteristics in Blue mounds, WI vs Ewa beach, HI.
| Data | Blue mounds | Ewa beach |
|---|---|---|
| Population | 924 | 15,167 |
| Median Age | 37.0 years | 40.1 years |
| Median Income | $71,094 | $114,207 |
| Married Families | 34.0% | 39.0% |
| Poverty Level | 8% | 8% |
| Unemployment Rate | 2.4 | 2.5 |
Population Comparison: Blue mounds vs Ewa beach
- The population in Ewa beach is higher at 15,167, compared to 924 in Blue mounds.
- The median age in Ewa beach is higher at 40.1 years, compared to 37.0 years in Blue mounds.
- Ewa beach has a higher median income of $114,207, compared to $71,094 in Blue mounds.
- In Ewa beach, the percentage of married families is higher at 39.0%, compared to 34.0% in Blue mounds.
- The poverty level is identical in both Blue mounds and Ewa beach at 8%.
- Ewa beach has a higher unemployment rate at 2.5% compared to 2.4% in Blue mounds.
Demographics
Demographics Blue mounds vs Ewa beach provide insight into the diversity of the communities to compare.
| Demographic | Blue mounds | Ewa beach |
|---|---|---|
| Black | 1 | Data is updating |
| White | 96 | 7 |
| Asian | Data is updating | 54 |
| Hispanic | 1 | 11 |
| Two or More Races | 2 | 28 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Blue mounds vs Ewa beach
- A higher percentage of Black residents are in Blue mounds at 1% compared to 0% in Ewa beach.
- Blue mounds has a higher percentage of White residents at 96% compared to 7% in Ewa beach.
- In Ewa beach, the Asian population stands at 54%, greater than 0% in Blue mounds.
- Ewa beach has a higher percentage of Hispanic residents at 11%, compared to 1% in Blue mounds.
- The percentage of residents identifying as two or more races is higher in Ewa beach at 28%, compared to 2% in Blue mounds.
- The percentage of American Indian residents is the same in both Blue mounds and Ewa beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Blue mounds | Ewa beach |
|---|---|---|
| Mental Health Not Good | 13.4% | 13.5% |
| Physical Health Not Good | 7.8% | 8.7% |
| Depression | 24.2% | 11.9% |
| Smoking | 11.9% | 13.0% |
| Binge Drinking | 25.4% | 16.8% |
| Obesity | 27.3% | 25.0% |
| Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Blue mounds vs Ewa beach
- In Ewa beach, a higher percentage report poor mental health at 13.5% compared to 13.4% in Blue mounds.
- Depression is more prevalent in Blue mounds at 24.2% compared to 11.9% in Ewa beach.
- Ewa beach has a higher smoking rate at 13.0% compared to 11.9% in Blue mounds.
- Binge drinking is more common in Blue mounds at 25.4% compared to 16.8% in Ewa beach.
- Obesity rates are higher in Blue mounds at 27.3% compared to 25.0% in Ewa beach.
- Disability percentages are higher in Blue mounds 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 | Blue mounds | Ewa beach |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.2% (336) |
| High School Diploma | 15.3% (141) | 23.9% (3,619) |
| Less than High School | 9.0% (83) | 9.3% (1,409) |
| Bachelor's Degree and Higher | 19.7% (182) | 14.8% (2,251) |
Education Levels Comparison: Blue mounds vs Ewa beach
- In Ewa beach, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Blue mounds.
- In Ewa beach, the rate of residents with high school diplomas is higher at 23.9% compared to 15.3% in Blue mounds.
- The percentage of residents with less than a high school education is higher in Ewa beach at 9.3%, compared to 9.0% in Blue mounds.
- A higher percentage of residents in Blue mounds hold a bachelor's degree or higher at 19.7% 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.