Demographics details for Santa clara, CA vs Ewa beach, HI
Population Overview
Compare main population characteristics in Santa clara, CA vs Ewa beach, HI.
Data | Santa clara | Ewa beach |
---|---|---|
Population | 126,930 | 15,167 |
Median Age | 34.5 years | 40.1 years |
Median Income | $165,352 | $114,207 |
Married Families | 45.0% | 39.0% |
Poverty Level | 8% | 8% |
Unemployment Rate | 3.9 | 2.5 |
Population Comparison: Santa clara vs Ewa beach
- In Santa clara, the population is higher at 126,930, compared to 15,167 in Ewa beach.
- The median age in Ewa beach is higher at 40.1 years, compared to 34.5 years in Santa clara.
- Santa clara has a higher median income of $165,352 compared to $114,207 in Ewa beach.
- A higher percentage of married families is found in Santa clara at 45.0% compared to 39.0% in Ewa beach.
- The poverty level is identical in both Santa clara and Ewa beach at 8%.
- The unemployment rate in Santa clara is higher at 3.9%, compared to 2.5% in Ewa beach.
Demographics
Demographics Santa clara vs Ewa beach provide insight into the diversity of the communities to compare.
Demographic | Santa clara | Ewa beach |
---|---|---|
Black | 2 | Data is updating |
White | 27 | 7 |
Asian | 48 | 54 |
Hispanic | 15 | 11 |
Two or More Races | 8 | 28 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Santa clara vs Ewa beach
- A higher percentage of Black residents are in Santa clara at 2% compared to 0% in Ewa beach.
- Santa clara has a higher percentage of White residents at 27% compared to 7% in Ewa beach.
- In Ewa beach, the Asian population stands at 54%, greater than 48% in Santa clara.
- The Hispanic community is larger in Santa clara at 15% 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 8% in Santa clara.
- The percentage of American Indian residents is the same in both Santa clara and Ewa beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa clara | Ewa beach |
---|---|---|
Mental Health Not Good | 12.0% | 13.5% |
Physical Health Not Good | 7.4% | 8.7% |
Depression | 14.2% | 11.9% |
Smoking | 7.1% | 13.0% |
Binge Drinking | 13.9% | 16.8% |
Obesity | 18.6% | 25.0% |
Disability Percentage | 7.0% | 10.0% |
Health Statistics Comparison: Santa clara vs Ewa beach
- In Ewa beach, a higher percentage report poor mental health at 13.5% compared to 12.0% in Santa clara.
- Depression is more prevalent in Santa clara at 14.2% compared to 11.9% in Ewa beach.
- Ewa beach has a higher smoking rate at 13.0% compared to 7.1% in Santa clara.
- More residents engage in binge drinking in Ewa beach at 16.8% compared to 13.9% in Santa clara.
- Ewa beach has higher obesity rates at 25.0% compared to 18.6% in Santa clara.
- There is a higher percentage of disabled individuals in Ewa beach at 10.0% compared to 7.0% in Santa clara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Santa clara | Ewa beach |
---|---|---|
No Schooling | 0.9% (1,134) | 2.2% (336) |
High School Diploma | 7.3% (9,232) | 23.9% (3,619) |
Less than High School | 7.1% (8,967) | 9.3% (1,409) |
Bachelor's Degree and Higher | 46.5% (58,962) | 14.8% (2,251) |
Education Levels Comparison: Santa clara vs Ewa beach
- In Ewa beach, a larger percentage of residents lack formal schooling at 2.2% compared to 0.9% in Santa clara.
- In Ewa beach, the rate of residents with high school diplomas is higher at 23.9% compared to 7.3% in Santa clara.
- The percentage of residents with less than a high school education is higher in Ewa beach at 9.3%, compared to 7.1% in Santa clara.
- A higher percentage of residents in Santa clara 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.