Demographics details for Ewa beach, HI vs Ogema, WI
Population Overview
Compare main population characteristics in Ewa beach, HI vs Ogema, WI.
| Data | Ewa beach | Ogema |
|---|---|---|
| Population | 15,167 | 684 |
| Median Age | 40.1 years | 35.0 years |
| Median Income | $114,207 | $55,000 |
| Married Families | 39.0% | 40.0% |
| Poverty Level | 8% | 5% |
| Unemployment Rate | 2.5 | 3.0 |
Population Comparison: Ewa beach vs Ogema
- In Ewa beach, the population is higher at 15,167, compared to 684 in Ogema.
- Residents in Ewa beach have a higher median age of 40.1 years compared to 35.0 years in Ogema.
- Ewa beach has a higher median income of $114,207 compared to $55,000 in Ogema.
- In Ogema, the percentage of married families is higher at 40.0%, compared to 39.0% in Ewa beach.
- Ewa beach has a higher poverty level at 8% compared to 5% in Ogema.
- Ogema has a higher unemployment rate at 3.0% compared to 2.5% in Ewa beach.
Demographics
Demographics Ewa beach vs Ogema provide insight into the diversity of the communities to compare.
| Demographic | Ewa beach | Ogema |
|---|---|---|
| Black | Data is updating | 1 |
| White | 7 | 96 |
| Asian | 54 | Data is updating |
| Hispanic | 11 | 2 |
| Two or More Races | 28 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ewa beach vs Ogema
- In Ogema, the percentage of Black residents is higher at 1% compared to 0% in Ewa beach.
- The percentage of White residents is higher in Ogema at 96% compared to 7% in Ewa beach.
- The Asian population is larger in Ewa beach at 54% compared to 0% in Ogema.
- The Hispanic community is larger in Ewa beach at 11% compared to 2% in Ogema.
- More residents identify as two or more races in Ewa beach at 28% compared to 1% in Ogema.
- The percentage of American Indian residents is the same in both Ewa beach and Ogema at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ewa beach | Ogema |
|---|---|---|
| Mental Health Not Good | 13.5% | Data is updating% |
| Physical Health Not Good | 8.7% | Data is updating% |
| Depression | 11.9% | Data is updating% |
| Smoking | 13.0% | Data is updating% |
| Binge Drinking | 16.8% | Data is updating% |
| Obesity | 25.0% | Data is updating% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Ewa beach vs Ogema
- More residents in Ewa beach report poor mental health at 13.5% compared to 0.0% in Ogema.
- Depression is more prevalent in Ewa beach at 11.9% compared to 0.0% in Ogema.
- Smoking is more prevalent in Ewa beach at 13.0% compared to 0.0% in Ogema.
- Binge drinking is more common in Ewa beach at 16.8% compared to 0.0% in Ogema.
- Obesity rates are higher in Ewa beach at 25.0% compared to 0.0% in Ogema.
- Disability percentages are higher in Ewa beach at 10.0% compared to 0.0% in Ogema.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ewa beach | Ogema |
|---|---|---|
| No Schooling | 2.2% (336) | 0.0% (Data is updating) |
| High School Diploma | 23.9% (3,619) | 0.0% (Data is updating) |
| Less than High School | 9.3% (1,409) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 14.8% (2,251) | 0.0% (Data is updating) |
Education Levels Comparison: Ewa beach vs Ogema
- A higher percentage of residents in Ewa beach have no formal schooling at 2.2% compared to 0.0% in Ogema.
- A higher percentage of residents in Ewa beach hold a high school diploma at 23.9% compared to 0.0% in Ogema.
- More residents in Ewa beach have less than a high school education at 9.3% compared to 0.0% in Ogema.
- A higher percentage of residents in Ewa beach hold a bachelor's degree or higher at 14.8% compared to 0.0% in Ogema.
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.