Demographics details for Valley, AL vs Oakland park, FL
Population Overview
Compare main population characteristics in Valley, AL vs Oakland park, FL.
| Data | Valley | Oakland park |
|---|---|---|
| Population | 10,323 | 43,824 |
| Median Age | 32.5 years | 39.1 years |
| Median Income | $54,237 | $64,989 |
| Married Families | 30.0% | 30.0% |
| Poverty Level | 14% | 14% |
| Unemployment Rate | 3.2 | 3.1 |
Population Comparison: Valley vs Oakland park
- The population in Oakland park is higher at 43,824, compared to 10,323 in Valley.
- The median age in Oakland park is higher at 39.1 years, compared to 32.5 years in Valley.
- Oakland park has a higher median income of $64,989, compared to $54,237 in Valley.
- The percentage of married families is the same in both Valley and Oakland park at 30.0%.
- The poverty level is identical in both Valley and Oakland park at 14%.
- The unemployment rate in Valley is higher at 3.2%, compared to 3.1% in Oakland park.
Demographics
Demographics Valley vs Oakland park provide insight into the diversity of the communities to compare.
| Demographic | Valley | Oakland park |
|---|---|---|
| Black | 39 | 29 |
| White | 56 | 20 |
| Asian | Data is updating | 2 |
| Hispanic | 3 | 32 |
| Two or More Races | 2 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Valley vs Oakland park
- A higher percentage of Black residents are in Valley at 39% compared to 29% in Oakland park.
- Valley has a higher percentage of White residents at 56% compared to 20% in Oakland park.
- In Oakland park, the Asian population stands at 2%, greater than 0% in Valley.
- Oakland park has a higher percentage of Hispanic residents at 32%, compared to 3% in Valley.
- The percentage of residents identifying as two or more races is higher in Oakland park at 17%, compared to 2% in Valley.
- The percentage of American Indian residents is the same in both Valley and Oakland park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Valley | Oakland park |
|---|---|---|
| Mental Health Not Good | 19.5% | 16.3% |
| Physical Health Not Good | 13.6% | 12.2% |
| Depression | 23.5% | 17.8% |
| Smoking | 20.1% | 20.1% |
| Binge Drinking | 14.3% | 15.0% |
| Obesity | 42.9% | 31.1% |
| Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Valley vs Oakland park
- More residents in Valley report poor mental health at 19.5% compared to 16.3% in Oakland park.
- Depression is more prevalent in Valley at 23.5% compared to 17.8% in Oakland park.
- Smoking rates are the same in both Valley and Oakland park at 20.1%.
- More residents engage in binge drinking in Oakland park at 15.0% compared to 14.3% in Valley.
- Obesity rates are higher in Valley at 42.9% compared to 31.1% in Oakland park.
- Disability percentages are higher in Valley at 16.0% compared to 11.0% in Oakland park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Valley | Oakland park |
|---|---|---|
| No Schooling | 2.4% (252) | 1.4% (596) |
| High School Diploma | 22.3% (2,302) | 19.8% (8,695) |
| Less than High School | 14.2% (1,467) | 16.2% (7,092) |
| Bachelor's Degree and Higher | 9.3% (956) | 20.7% (9,073) |
Education Levels Comparison: Valley vs Oakland park
- A higher percentage of residents in Valley have no formal schooling at 2.4% compared to 1.4% in Oakland park.
- A higher percentage of residents in Valley hold a high school diploma at 22.3% compared to 19.8% in Oakland park.
- The percentage of residents with less than a high school education is higher in Oakland park at 16.2%, compared to 14.2% in Valley.
- In Oakland park, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 9.3% in Valley.
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.