Demographics details for Oakland park, FL vs Surprise, AZ
Population Overview
Compare main population characteristics in Oakland park, FL vs Surprise, AZ.
| Data | Oakland park | Surprise |
|---|---|---|
| Population | 43,824 | 154,198 |
| Median Age | 39.1 years | 41.5 years |
| Median Income | $64,989 | $87,756 |
| Married Families | 30.0% | 44.0% |
| Poverty Level | 14% | 13% |
| Unemployment Rate | 3.1 | 3.9 |
Population Comparison: Oakland park vs Surprise
- The population in Surprise is higher at 154,198, compared to 43,824 in Oakland park.
- The median age in Surprise is higher at 41.5 years, compared to 39.1 years in Oakland park.
- Surprise has a higher median income of $87,756, compared to $64,989 in Oakland park.
- In Surprise, the percentage of married families is higher at 44.0%, compared to 30.0% in Oakland park.
- Oakland park has a higher poverty level at 14% compared to 13% in Surprise.
- Surprise has a higher unemployment rate at 3.9% compared to 3.1% in Oakland park.
Demographics
Demographics Oakland park vs Surprise provide insight into the diversity of the communities to compare.
| Demographic | Oakland park | Surprise |
|---|---|---|
| Black | 29 | 5 |
| White | 20 | 63 |
| Asian | 2 | 2 |
| Hispanic | 32 | 20 |
| Two or More Races | 17 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Oakland park vs Surprise
- A higher percentage of Black residents are in Oakland park at 29% compared to 5% in Surprise.
- The percentage of White residents is higher in Surprise at 63% compared to 20% in Oakland park.
- Both Oakland park and Surprise have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Oakland park at 32% compared to 20% in Surprise.
- More residents identify as two or more races in Oakland park at 17% compared to 9% in Surprise.
- In Surprise, the percentage of American Indian residents is higher at 1%, compared to 0% in Oakland park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oakland park | Surprise |
|---|---|---|
| Mental Health Not Good | 16.3% | 17.0% |
| Physical Health Not Good | 12.2% | 10.1% |
| Depression | 17.8% | 20.1% |
| Smoking | 20.1% | 14.4% |
| Binge Drinking | 15.0% | 18.5% |
| Obesity | 31.1% | 30.1% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Oakland park vs Surprise
- In Surprise, a higher percentage report poor mental health at 17.0% compared to 16.3% in Oakland park.
- Higher depression rates are seen in Surprise at 20.1% versus 17.8% in Oakland park.
- Smoking is more prevalent in Oakland park at 20.1% compared to 14.4% in Surprise.
- More residents engage in binge drinking in Surprise at 18.5% compared to 15.0% in Oakland park.
- Obesity rates are higher in Oakland park at 31.1% compared to 30.1% in Surprise.
- Disability percentages are the same in both Oakland park and Surprise at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oakland park | Surprise |
|---|---|---|
| No Schooling | 1.4% (596) | 0.5% (754) |
| High School Diploma | 19.8% (8,695) | 13.7% (21,050) |
| Less than High School | 16.2% (7,092) | 7.6% (11,792) |
| Bachelor's Degree and Higher | 20.7% (9,073) | 19.9% (30,735) |
Education Levels Comparison: Oakland park vs Surprise
- A higher percentage of residents in Oakland park have no formal schooling at 1.4% compared to 0.5% in Surprise.
- A higher percentage of residents in Oakland park hold a high school diploma at 19.8% compared to 13.7% in Surprise.
- More residents in Oakland park have less than a high school education at 16.2% compared to 7.6% in Surprise.
- A higher percentage of residents in Oakland park hold a bachelor's degree or higher at 20.7% compared to 19.9% in Surprise.
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.