Demographics details for Auburn, AL vs Oceanside, CA
Population Overview
Compare main population characteristics in Auburn, AL vs Oceanside, CA.
| Data | Auburn | Oceanside |
|---|---|---|
| Population | 80,006 | 172,199 |
| Median Age | 25.9 years | 37.5 years |
| Median Income | $55,509 | $86,701 |
| Married Families | 32.0% | 41.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 3.0 | 4.6 |
Population Comparison: Auburn vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 80,006 in Auburn.
- The median age in Oceanside is higher at 37.5 years, compared to 25.9 years in Auburn.
- Oceanside has a higher median income of $86,701, compared to $55,509 in Auburn.
- In Oceanside, the percentage of married families is higher at 41.0%, compared to 32.0% in Auburn.
- Auburn has a higher poverty level at 10% compared to 9% in Oceanside.
- Oceanside has a higher unemployment rate at 4.6% compared to 3.0% in Auburn.
Demographics
Demographics Auburn vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Auburn | Oceanside |
|---|---|---|
| Black | 17 | 4 |
| White | 69 | 31 |
| Asian | 8 | 7 |
| Hispanic | 3 | 38 |
| Two or More Races | 3 | 19 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Auburn vs Oceanside
- A higher percentage of Black residents are in Auburn at 17% compared to 4% in Oceanside.
- Auburn has a higher percentage of White residents at 69% compared to 31% in Oceanside.
- The Asian population is larger in Auburn at 8% compared to 7% in Oceanside.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 3% in Auburn.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 3% in Auburn.
- In Oceanside, the percentage of American Indian residents is higher at 1%, compared to 0% in Auburn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Auburn | Oceanside |
|---|---|---|
| Mental Health Not Good | 17.6% | 16.2% |
| Physical Health Not Good | 12.0% | 10.9% |
| Depression | 22.0% | 17.9% |
| Smoking | 15.5% | 11.7% |
| Binge Drinking | 14.5% | 18.9% |
| Obesity | 38.7% | 25.0% |
| Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Auburn vs Oceanside
- More residents in Auburn report poor mental health at 17.6% compared to 16.2% in Oceanside.
- Depression is more prevalent in Auburn at 22.0% compared to 17.9% in Oceanside.
- Smoking is more prevalent in Auburn at 15.5% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Oceanside at 18.9% compared to 14.5% in Auburn.
- Obesity rates are higher in Auburn at 38.7% compared to 25.0% in Oceanside.
- There is a higher percentage of disabled individuals in Oceanside at 12.0% compared to 8.0% in Auburn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Auburn | Oceanside |
|---|---|---|
| No Schooling | 0.3% (236) | 1.7% (2,927) |
| High School Diploma | 5.3% (4,206) | 12.0% (20,662) |
| Less than High School | 2.5% (1,964) | 17.7% (30,528) |
| Bachelor's Degree and Higher | 30.7% (24,546) | 23.5% (40,490) |
Education Levels Comparison: Auburn vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 1.7% compared to 0.3% in Auburn.
- In Oceanside, the rate of residents with high school diplomas is higher at 12.0% compared to 5.3% in Auburn.
- The percentage of residents with less than a high school education is higher in Oceanside at 17.7%, compared to 2.5% in Auburn.
- A higher percentage of residents in Auburn hold a bachelor's degree or higher at 30.7% 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.