Demographics details for Rupert, ID vs Ewa beach, HI
Population Overview
Compare main population characteristics in Rupert, ID vs Ewa beach, HI.
Data | Rupert | Ewa beach |
---|---|---|
Population | 6,238 | 15,167 |
Median Age | 34.1 years | 40.1 years |
Median Income | $53,348 | $114,207 |
Married Families | 38.0% | 39.0% |
Poverty Level | 12% | 8% |
Unemployment Rate | 4.1 | 2.5 |
Population Comparison: Rupert vs Ewa beach
- The population in Ewa beach is higher at 15,167, compared to 6,238 in Rupert.
- The median age in Ewa beach is higher at 40.1 years, compared to 34.1 years in Rupert.
- Ewa beach has a higher median income of $114,207, compared to $53,348 in Rupert.
- In Ewa beach, the percentage of married families is higher at 39.0%, compared to 38.0% in Rupert.
- Rupert has a higher poverty level at 12% compared to 8% in Ewa beach.
- The unemployment rate in Rupert is higher at 4.1%, compared to 2.5% in Ewa beach.
Demographics
Demographics Rupert vs Ewa beach provide insight into the diversity of the communities to compare.
Demographic | Rupert | Ewa beach |
---|---|---|
Black | Data is updating | Data is updating |
White | 39 | 7 |
Asian | Data is updating | 54 |
Hispanic | 47 | 11 |
Two or More Races | 13 | 28 |
American Indian | 1 | Data is updating |
Demographics Comparison: Rupert vs Ewa beach
- The percentage of Black residents is the same in both Rupert and Ewa beach at 0%.
- Rupert has a higher percentage of White residents at 39% compared to 7% in Ewa beach.
- In Ewa beach, the Asian population stands at 54%, greater than 0% in Rupert.
- The Hispanic community is larger in Rupert at 47% compared to 11% in Ewa beach.
- The percentage of residents identifying as two or more races is higher in Ewa beach at 28%, compared to 13% in Rupert.
- A greater percentage of American Indian residents live in Rupert at 1% compared to 0% in Ewa beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Rupert | Ewa beach |
---|---|---|
Mental Health Not Good | 17.5% | 13.5% |
Physical Health Not Good | 14.9% | 8.7% |
Depression | 23.0% | 11.9% |
Smoking | 20.0% | 13.0% |
Binge Drinking | 14.0% | 16.8% |
Obesity | 39.7% | 25.0% |
Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Rupert vs Ewa beach
- More residents in Rupert report poor mental health at 17.5% compared to 13.5% in Ewa beach.
- Depression is more prevalent in Rupert at 23.0% compared to 11.9% in Ewa beach.
- Smoking is more prevalent in Rupert at 20.0% compared to 13.0% in Ewa beach.
- More residents engage in binge drinking in Ewa beach at 16.8% compared to 14.0% in Rupert.
- Obesity rates are higher in Rupert at 39.7% compared to 25.0% in Ewa beach.
- Disability percentages are higher in Rupert at 14.0% 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 | Rupert | Ewa beach |
---|---|---|
No Schooling | 1.7% (107) | 2.2% (336) |
High School Diploma | 16.8% (1,046) | 23.9% (3,619) |
Less than High School | 25.5% (1,589) | 9.3% (1,409) |
Bachelor's Degree and Higher | 5.7% (354) | 14.8% (2,251) |
Education Levels Comparison: Rupert vs Ewa beach
- In Ewa beach, a larger percentage of residents lack formal schooling at 2.2% compared to 1.7% in Rupert.
- In Ewa beach, the rate of residents with high school diplomas is higher at 23.9% compared to 16.8% in Rupert.
- More residents in Rupert have less than a high school education at 25.5% compared to 9.3% in Ewa beach.
- In Ewa beach, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 5.7% in Rupert.
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.