Demographics details for Maryville, MO vs Oakland park, FL
Population Overview
Compare main population characteristics in Maryville, MO vs Oakland park, FL.
| Data | Maryville | Oakland park |
|---|---|---|
| Population | 10,461 | 43,824 |
| Median Age | 25.0 years | 39.1 years |
| Median Income | $49,144 | $64,989 |
| Married Families | 28.0% | 30.0% |
| Poverty Level | 15% | 14% |
| Unemployment Rate | 3.5 | 3.1 |
Population Comparison: Maryville vs Oakland park
- The population in Oakland park is higher at 43,824, compared to 10,461 in Maryville.
- The median age in Oakland park is higher at 39.1 years, compared to 25.0 years in Maryville.
- Oakland park has a higher median income of $64,989, compared to $49,144 in Maryville.
- In Oakland park, the percentage of married families is higher at 30.0%, compared to 28.0% in Maryville.
- Maryville has a higher poverty level at 15% compared to 14% in Oakland park.
- The unemployment rate in Maryville is higher at 3.5%, compared to 3.1% in Oakland park.
Demographics
Demographics Maryville vs Oakland park provide insight into the diversity of the communities to compare.
| Demographic | Maryville | Oakland park |
|---|---|---|
| Black | 4 | 29 |
| White | 89 | 20 |
| Asian | 2 | 2 |
| Hispanic | 3 | 32 |
| Two or More Races | 2 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Maryville vs Oakland park
- In Oakland park, the percentage of Black residents is higher at 29% compared to 4% in Maryville.
- Maryville has a higher percentage of White residents at 89% compared to 20% in Oakland park.
- Both Maryville and Oakland park have the same percentage of Asian residents at 2%.
- Oakland park has a higher percentage of Hispanic residents at 32%, compared to 3% in Maryville.
- The percentage of residents identifying as two or more races is higher in Oakland park at 17%, compared to 2% in Maryville.
- The percentage of American Indian residents is the same in both Maryville and Oakland park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Maryville | Oakland park |
|---|---|---|
| Mental Health Not Good | 18.1% | 16.3% |
| Physical Health Not Good | 13.2% | 12.2% |
| Depression | 23.8% | 17.8% |
| Smoking | 20.1% | 20.1% |
| Binge Drinking | 17.9% | 15.0% |
| Obesity | 40.4% | 31.1% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Maryville vs Oakland park
- More residents in Maryville report poor mental health at 18.1% compared to 16.3% in Oakland park.
- Depression is more prevalent in Maryville at 23.8% compared to 17.8% in Oakland park.
- Smoking rates are the same in both Maryville and Oakland park at 20.1%.
- Binge drinking is more common in Maryville at 17.9% compared to 15.0% in Oakland park.
- Obesity rates are higher in Maryville at 40.4% compared to 31.1% in Oakland park.
- Disability percentages are the same in both Maryville and Oakland park at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Maryville | Oakland park |
|---|---|---|
| No Schooling | 0.1% (15) | 1.4% (596) |
| High School Diploma | 14.1% (1,471) | 19.8% (8,695) |
| Less than High School | 5.0% (522) | 16.2% (7,092) |
| Bachelor's Degree and Higher | 16.7% (1,743) | 20.7% (9,073) |
Education Levels Comparison: Maryville vs Oakland park
- In Oakland park, a larger percentage of residents lack formal schooling at 1.4% compared to 0.1% in Maryville.
- In Oakland park, the rate of residents with high school diplomas is higher at 19.8% compared to 14.1% in Maryville.
- The percentage of residents with less than a high school education is higher in Oakland park at 16.2%, compared to 5.0% in Maryville.
- In Oakland park, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 16.7% in Maryville.
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.