Demographics details for Oakland park, FL vs Auburn, AL
Population Overview
Compare main population characteristics in Oakland park, FL vs Auburn, AL.
| Data | Oakland park | Auburn |
|---|---|---|
| Population | 43,824 | 80,006 |
| Median Age | 39.1 years | 25.9 years |
| Median Income | $64,989 | $55,509 |
| Married Families | 30.0% | 32.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 3.1 | 3.0 |
Population Comparison: Oakland park vs Auburn
- The population in Auburn is higher at 80,006, compared to 43,824 in Oakland park.
- Residents in Oakland park have a higher median age of 39.1 years compared to 25.9 years in Auburn.
- Oakland park has a higher median income of $64,989 compared to $55,509 in Auburn.
- In Auburn, the percentage of married families is higher at 32.0%, compared to 30.0% in Oakland park.
- Oakland park has a higher poverty level at 14% compared to 10% in Auburn.
- The unemployment rate in Oakland park is higher at 3.1%, compared to 3.0% in Auburn.
Demographics
Demographics Oakland park vs Auburn provide insight into the diversity of the communities to compare.
| Demographic | Oakland park | Auburn |
|---|---|---|
| Black | 29 | 17 |
| White | 20 | 69 |
| Asian | 2 | 8 |
| Hispanic | 32 | 3 |
| Two or More Races | 17 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oakland park vs Auburn
- A higher percentage of Black residents are in Oakland park at 29% compared to 17% in Auburn.
- The percentage of White residents is higher in Auburn at 69% compared to 20% in Oakland park.
- In Auburn, the Asian population stands at 8%, greater than 2% in Oakland park.
- The Hispanic community is larger in Oakland park at 32% compared to 3% in Auburn.
- More residents identify as two or more races in Oakland park at 17% compared to 3% in Auburn.
- The percentage of American Indian residents is the same in both Oakland park and Auburn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oakland park | Auburn |
|---|---|---|
| Mental Health Not Good | 16.3% | 17.6% |
| Physical Health Not Good | 12.2% | 12.0% |
| Depression | 17.8% | 22.0% |
| Smoking | 20.1% | 15.5% |
| Binge Drinking | 15.0% | 14.5% |
| Obesity | 31.1% | 38.7% |
| Disability Percentage | 11.0% | 8.0% |
Health Statistics Comparison: Oakland park vs Auburn
- In Auburn, a higher percentage report poor mental health at 17.6% compared to 16.3% in Oakland park.
- Higher depression rates are seen in Auburn at 22.0% versus 17.8% in Oakland park.
- Smoking is more prevalent in Oakland park at 20.1% compared to 15.5% in Auburn.
- Binge drinking is more common in Oakland park at 15.0% compared to 14.5% in Auburn.
- Auburn has higher obesity rates at 38.7% compared to 31.1% in Oakland park.
- Disability percentages are higher in Oakland park at 11.0% 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 | Oakland park | Auburn |
|---|---|---|
| No Schooling | 1.4% (596) | 0.3% (236) |
| High School Diploma | 19.8% (8,695) | 5.3% (4,206) |
| Less than High School | 16.2% (7,092) | 2.5% (1,964) |
| Bachelor's Degree and Higher | 20.7% (9,073) | 30.7% (24,546) |
Education Levels Comparison: Oakland park vs Auburn
- A higher percentage of residents in Oakland park have no formal schooling at 1.4% compared to 0.3% in Auburn.
- A higher percentage of residents in Oakland park hold a high school diploma at 19.8% compared to 5.3% in Auburn.
- More residents in Oakland park have less than a high school education at 16.2% compared to 2.5% in Auburn.
- In Auburn, a larger share of residents have a bachelor's degree or higher at 30.7% compared to 20.7% in Oakland park.
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.