Demographics details for Plains, GA vs Oakland park, FL
Population Overview
Compare main population characteristics in Plains, GA vs Oakland park, FL.
| Data | Plains | Oakland park |
|---|---|---|
| Population | 557 | 43,824 |
| Median Age | 42.1 years | 39.1 years |
| Median Income | $36,138 | $64,989 |
| Married Families | 47.0% | 30.0% |
| Poverty Level | 18% | 14% |
| Unemployment Rate | 3.6 | 3.1 |
Population Comparison: Plains vs Oakland park
- The population in Oakland park is higher at 43,824, compared to 557 in Plains.
- Residents in Plains have a higher median age of 42.1 years compared to 39.1 years in Oakland park.
- Oakland park has a higher median income of $64,989, compared to $36,138 in Plains.
- A higher percentage of married families is found in Plains at 47.0% compared to 30.0% in Oakland park.
- Plains has a higher poverty level at 18% compared to 14% in Oakland park.
- The unemployment rate in Plains is higher at 3.6%, compared to 3.1% in Oakland park.
Demographics
Demographics Plains vs Oakland park provide insight into the diversity of the communities to compare.
| Demographic | Plains | Oakland park |
|---|---|---|
| Black | 79 | 29 |
| White | 12 | 20 |
| Asian | Data is updating | 2 |
| Hispanic | 8 | 32 |
| Two or More Races | 1 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Plains vs Oakland park
- A higher percentage of Black residents are in Plains at 79% compared to 29% in Oakland park.
- The percentage of White residents is higher in Oakland park at 20% compared to 12% in Plains.
- In Oakland park, the Asian population stands at 2%, greater than 0% in Plains.
- Oakland park has a higher percentage of Hispanic residents at 32%, compared to 8% in Plains.
- The percentage of residents identifying as two or more races is higher in Oakland park at 17%, compared to 1% in Plains.
- The percentage of American Indian residents is the same in both Plains and Oakland park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Plains | Oakland park |
|---|---|---|
| Mental Health Not Good | 17.4% | 16.3% |
| Physical Health Not Good | 13.4% | 12.2% |
| Depression | 19.8% | 17.8% |
| Smoking | 19.7% | 20.1% |
| Binge Drinking | 13.9% | 15.0% |
| Obesity | 39.5% | 31.1% |
| Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: Plains vs Oakland park
- More residents in Plains report poor mental health at 17.4% compared to 16.3% in Oakland park.
- Depression is more prevalent in Plains at 19.8% compared to 17.8% in Oakland park.
- Oakland park has a higher smoking rate at 20.1% compared to 19.7% in Plains.
- More residents engage in binge drinking in Oakland park at 15.0% compared to 13.9% in Plains.
- Obesity rates are higher in Plains at 39.5% compared to 31.1% in Oakland park.
- Disability percentages are higher in Plains at 15.0% 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 | Plains | Oakland park |
|---|---|---|
| No Schooling | 0.9% (5) | 1.4% (596) |
| High School Diploma | 22.8% (127) | 19.8% (8,695) |
| Less than High School | 22.3% (124) | 16.2% (7,092) |
| Bachelor's Degree and Higher | 11.7% (65) | 20.7% (9,073) |
Education Levels Comparison: Plains vs Oakland park
- In Oakland park, a larger percentage of residents lack formal schooling at 1.4% compared to 0.9% in Plains.
- A higher percentage of residents in Plains hold a high school diploma at 22.8% compared to 19.8% in Oakland park.
- More residents in Plains have less than a high school education at 22.3% compared to 16.2% in Oakland park.
- In Oakland park, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 11.7% in Plains.
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.