Demographics details for Olla, LA vs Ewa beach, HI
Population Overview
Compare main population characteristics in Olla, LA vs Ewa beach, HI.
Data | Olla | Ewa beach |
---|---|---|
Population | 1,617 | 15,167 |
Median Age | 35.0 years | 40.1 years |
Median Income | $45,000 | $114,207 |
Married Families | 200.0% | 39.0% |
Poverty Level | 12% | 8% |
Unemployment Rate | 3.0 | 2.5 |
Population Comparison: Olla vs Ewa beach
- The population in Ewa beach is higher at 15,167, compared to 1,617 in Olla.
- The median age in Ewa beach is higher at 40.1 years, compared to 35.0 years in Olla.
- Ewa beach has a higher median income of $114,207, compared to $45,000 in Olla.
- A higher percentage of married families is found in Olla at 200.0% compared to 39.0% in Ewa beach.
- Olla has a higher poverty level at 12% compared to 8% in Ewa beach.
- The unemployment rate in Olla is higher at 3.0%, compared to 2.5% in Ewa beach.
Demographics
Demographics Olla vs Ewa beach provide insight into the diversity of the communities to compare.
Demographic | Olla | Ewa beach |
---|---|---|
Black | 20 | Data is updating |
White | 70 | 7 |
Asian | 5 | 54 |
Hispanic | 5 | 11 |
Two or More Races | Data is updating | 28 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Olla vs Ewa beach
- A higher percentage of Black residents are in Olla at 20% compared to 0% in Ewa beach.
- Olla has a higher percentage of White residents at 70% compared to 7% in Ewa beach.
- In Ewa beach, the Asian population stands at 54%, greater than 5% in Olla.
- Ewa beach has a higher percentage of Hispanic residents at 11%, compared to 5% in Olla.
- The percentage of residents identifying as two or more races is higher in Ewa beach at 28%, compared to 0% in Olla.
- The percentage of American Indian residents is the same in both Olla and Ewa beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Olla | Ewa beach |
---|---|---|
Mental Health Not Good | Data is updating% | 13.5% |
Physical Health Not Good | Data is updating% | 8.7% |
Depression | Data is updating% | 11.9% |
Smoking | Data is updating% | 13.0% |
Binge Drinking | Data is updating% | 16.8% |
Obesity | Data is updating% | 25.0% |
Disability Percentage | Data is updating% | 10.0% |
Health Statistics Comparison: Olla vs Ewa beach
- In Ewa beach, a higher percentage report poor mental health at 13.5% compared to 0.0% in Olla.
- Higher depression rates are seen in Ewa beach at 11.9% versus 0.0% in Olla.
- Ewa beach has a higher smoking rate at 13.0% compared to 0.0% in Olla.
- More residents engage in binge drinking in Ewa beach at 16.8% compared to 0.0% in Olla.
- Ewa beach has higher obesity rates at 25.0% compared to 0.0% in Olla.
- There is a higher percentage of disabled individuals in Ewa beach at 10.0% compared to 0.0% in Olla.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Olla | Ewa beach |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.2% (336) |
High School Diploma | 0.0% (Data is updating) | 23.9% (3,619) |
Less than High School | 0.0% (Data is updating) | 9.3% (1,409) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 14.8% (2,251) |
Education Levels Comparison: Olla vs Ewa beach
- In Ewa beach, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Olla.
- In Ewa beach, the rate of residents with high school diplomas is higher at 23.9% compared to 0.0% in Olla.
- The percentage of residents with less than a high school education is higher in Ewa beach at 9.3%, compared to 0.0% in Olla.
- In Ewa beach, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 0.0% in Olla.
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.