Demographics details for Ocean city, NJ vs Auburn, AL
Population Overview
Compare main population characteristics in Ocean city, NJ vs Auburn, AL.
| Data | Ocean city | Auburn |
|---|---|---|
| Population | 11,303 | 80,006 |
| Median Age | 56.9 years | 25.9 years |
| Median Income | $98,576 | $55,509 |
| Married Families | 53.0% | 32.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 3.2 | 3.0 |
Population Comparison: Ocean city vs Auburn
- The population in Auburn is higher at 80,006, compared to 11,303 in Ocean city.
- Residents in Ocean city have a higher median age of 56.9 years compared to 25.9 years in Auburn.
- Ocean city has a higher median income of $98,576 compared to $55,509 in Auburn.
- A higher percentage of married families is found in Ocean city at 53.0% compared to 32.0% in Auburn.
- The poverty level is higher in Auburn at 10%, compared to 0% in Ocean city.
- The unemployment rate in Ocean city is higher at 3.2%, compared to 3.0% in Auburn.
Demographics
Demographics Ocean city vs Auburn provide insight into the diversity of the communities to compare.
| Demographic | Ocean city | Auburn |
|---|---|---|
| Black | 3 | 17 |
| White | 86 | 69 |
| Asian | Data is updating | 8 |
| Hispanic | 8 | 3 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ocean city vs Auburn
- In Auburn, the percentage of Black residents is higher at 17% compared to 3% in Ocean city.
- Ocean city has a higher percentage of White residents at 86% compared to 69% in Auburn.
- In Auburn, the Asian population stands at 8%, greater than 0% in Ocean city.
- The Hispanic community is larger in Ocean city at 8% compared to 3% in Auburn.
- Both Ocean city and Auburn have the same percentage of residents identifying as two or more races at 3%.
- The percentage of American Indian residents is the same in both Ocean city and Auburn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ocean city | Auburn |
|---|---|---|
| Mental Health Not Good | 14.0% | 17.6% |
| Physical Health Not Good | 8.7% | 12.0% |
| Depression | 21.8% | 22.0% |
| Smoking | 11.9% | 15.5% |
| Binge Drinking | 20.3% | 14.5% |
| Obesity | 29.8% | 38.7% |
| Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Ocean city vs Auburn
- In Auburn, a higher percentage report poor mental health at 17.6% compared to 14.0% in Ocean city.
- Higher depression rates are seen in Auburn at 22.0% versus 21.8% in Ocean city.
- Auburn has a higher smoking rate at 15.5% compared to 11.9% in Ocean city.
- Binge drinking is more common in Ocean city at 20.3% compared to 14.5% in Auburn.
- Auburn has higher obesity rates at 38.7% compared to 29.8% in Ocean city.
- Disability percentages are higher in Ocean city at 14.0% 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 | Ocean city | Auburn |
|---|---|---|
| No Schooling | 0.4% (50) | 0.3% (236) |
| High School Diploma | 16.9% (1,907) | 5.3% (4,206) |
| Less than High School | 6.0% (676) | 2.5% (1,964) |
| Bachelor's Degree and Higher | 43.6% (4,926) | 30.7% (24,546) |
Education Levels Comparison: Ocean city vs Auburn
- A higher percentage of residents in Ocean city have no formal schooling at 0.4% compared to 0.3% in Auburn.
- A higher percentage of residents in Ocean city hold a high school diploma at 16.9% compared to 5.3% in Auburn.
- More residents in Ocean city have less than a high school education at 6.0% compared to 2.5% in Auburn.
- A higher percentage of residents in Ocean city hold a bachelor's degree or higher at 43.6% compared to 30.7% in Auburn.
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.