Demographics details for Helena, AL vs Oceanside, CA
Population Overview
Compare main population characteristics in Helena, AL vs Oceanside, CA.
| Data | Helena | Oceanside |
|---|---|---|
| Population | 21,862 | 172,199 |
| Median Age | 38.2 years | 37.5 years |
| Median Income | $107,360 | $86,701 |
| Married Families | 46.0% | 41.0% |
| Poverty Level | 6% | 9% |
| Unemployment Rate | 2.8 | 4.6 |
Population Comparison: Helena vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 21,862 in Helena.
- Residents in Helena have a higher median age of 38.2 years compared to 37.5 years in Oceanside.
- Helena has a higher median income of $107,360 compared to $86,701 in Oceanside.
- A higher percentage of married families is found in Helena at 46.0% compared to 41.0% in Oceanside.
- The poverty level is higher in Oceanside at 9%, compared to 6% in Helena.
- Oceanside has a higher unemployment rate at 4.6% compared to 2.8% in Helena.
Demographics
Demographics Helena vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Helena | Oceanside |
|---|---|---|
| Black | 18 | 4 |
| White | 73 | 31 |
| Asian | 1 | 7 |
| Hispanic | 3 | 38 |
| Two or More Races | 5 | 19 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Helena vs Oceanside
- A higher percentage of Black residents are in Helena at 18% compared to 4% in Oceanside.
- Helena has a higher percentage of White residents at 73% compared to 31% in Oceanside.
- In Oceanside, the Asian population stands at 7%, greater than 1% in Helena.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 3% in Helena.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 5% in Helena.
- In Oceanside, the percentage of American Indian residents is higher at 1%, compared to 0% in Helena.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Helena | Oceanside |
|---|---|---|
| Mental Health Not Good | 15.2% | 16.2% |
| Physical Health Not Good | 8.6% | 10.9% |
| Depression | 21.9% | 17.9% |
| Smoking | 11.8% | 11.7% |
| Binge Drinking | 18.0% | 18.9% |
| Obesity | 32.1% | 25.0% |
| Disability Percentage | 7.0% | 12.0% |
Health Statistics Comparison: Helena vs Oceanside
- In Oceanside, a higher percentage report poor mental health at 16.2% compared to 15.2% in Helena.
- Depression is more prevalent in Helena at 21.9% compared to 17.9% in Oceanside.
- Smoking is more prevalent in Helena at 11.8% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Oceanside at 18.9% compared to 18.0% in Helena.
- Obesity rates are higher in Helena at 32.1% compared to 25.0% in Oceanside.
- There is a higher percentage of disabled individuals in Oceanside at 12.0% compared to 7.0% in Helena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Helena | Oceanside |
|---|---|---|
| No Schooling | 0.5% (106) | 1.7% (2,927) |
| High School Diploma | 9.7% (2,129) | 12.0% (20,662) |
| Less than High School | 3.4% (749) | 17.7% (30,528) |
| Bachelor's Degree and Higher | 30.8% (6,741) | 23.5% (40,490) |
Education Levels Comparison: Helena vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 1.7% compared to 0.5% in Helena.
- In Oceanside, the rate of residents with high school diplomas is higher at 12.0% compared to 9.7% in Helena.
- The percentage of residents with less than a high school education is higher in Oceanside at 17.7%, compared to 3.4% in Helena.
- A higher percentage of residents in Helena hold a bachelor's degree or higher at 30.8% compared to 23.5% in Oceanside.
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.