Demographics details for Oceanside, CA vs Edgefield, SC
Population Overview
Compare main population characteristics in Oceanside, CA vs Edgefield, SC.
| Data | Oceanside | Edgefield |
|---|---|---|
| Population | 172,199 | 26,932 |
| Median Age | 37.5 years | 42.9 years |
| Median Income | $86,701 | $60,033 |
| Married Families | 41.0% | 38.0% |
| Poverty Level | 9% | 13% |
| Unemployment Rate | 4.6 | 4.9 |
Population Comparison: Oceanside vs Edgefield
- In Oceanside, the population is higher at 172,199, compared to 26,932 in Edgefield.
- The median age in Edgefield is higher at 42.9 years, compared to 37.5 years in Oceanside.
- Oceanside has a higher median income of $86,701 compared to $60,033 in Edgefield.
- A higher percentage of married families is found in Oceanside at 41.0% compared to 38.0% in Edgefield.
- The poverty level is higher in Edgefield at 13%, compared to 9% in Oceanside.
- Edgefield has a higher unemployment rate at 4.9% compared to 4.6% in Oceanside.
Demographics
Demographics Oceanside vs Edgefield provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Edgefield |
|---|---|---|
| Black | 4 | 32 |
| White | 31 | 56 |
| Asian | 7 | Data is updating |
| Hispanic | 38 | 7 |
| Two or More Races | 19 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Oceanside vs Edgefield
- In Edgefield, the percentage of Black residents is higher at 32% compared to 4% in Oceanside.
- The percentage of White residents is higher in Edgefield at 56% compared to 31% in Oceanside.
- The Asian population is larger in Oceanside at 7% compared to 0% in Edgefield.
- The Hispanic community is larger in Oceanside at 38% compared to 7% in Edgefield.
- More residents identify as two or more races in Oceanside at 19% compared to 5% in Edgefield.
- A greater percentage of American Indian residents live in Oceanside at 1% compared to 0% in Edgefield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Edgefield |
|---|---|---|
| Mental Health Not Good | 16.2% | 18.1% |
| Physical Health Not Good | 10.9% | 13.1% |
| Depression | 17.9% | 20.3% |
| Smoking | 11.7% | 20.3% |
| Binge Drinking | 18.9% | 16.5% |
| Obesity | 25.0% | 36.7% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Oceanside vs Edgefield
- In Edgefield, a higher percentage report poor mental health at 18.1% compared to 16.2% in Oceanside.
- Higher depression rates are seen in Edgefield at 20.3% versus 17.9% in Oceanside.
- Edgefield has a higher smoking rate at 20.3% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oceanside at 18.9% compared to 16.5% in Edgefield.
- Edgefield has higher obesity rates at 36.7% compared to 25.0% in Oceanside.
- There is a higher percentage of disabled individuals in Edgefield at 14.0% compared to 12.0% in Oceanside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | Edgefield |
|---|---|---|
| No Schooling | 1.7% (2,927) | 0.7% (199) |
| High School Diploma | 12.0% (20,662) | 19.2% (5,180) |
| Less than High School | 17.7% (30,528) | 18.3% (4,938) |
| Bachelor's Degree and Higher | 23.5% (40,490) | 14.1% (3,798) |
Education Levels Comparison: Oceanside vs Edgefield
- A higher percentage of residents in Oceanside have no formal schooling at 1.7% compared to 0.7% in Edgefield.
- In Edgefield, the rate of residents with high school diplomas is higher at 19.2% compared to 12.0% in Oceanside.
- The percentage of residents with less than a high school education is higher in Edgefield at 18.3%, compared to 17.7% in Oceanside.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 23.5% compared to 14.1% in Edgefield.
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.