Demographics details for Milan, OH vs Oakland park, FL
Population Overview
Compare main population characteristics in Milan, OH vs Oakland park, FL.
| Data | Milan | Oakland park |
|---|---|---|
| Population | 1,359 | 43,824 |
| Median Age | 40.1 years | 39.1 years |
| Median Income | $90,145 | $64,989 |
| Married Families | 51.0% | 30.0% |
| Poverty Level | 5% | 14% |
| Unemployment Rate | 3.5 | 3.1 |
Population Comparison: Milan vs Oakland park
- The population in Oakland park is higher at 43,824, compared to 1,359 in Milan.
- Residents in Milan have a higher median age of 40.1 years compared to 39.1 years in Oakland park.
- Milan has a higher median income of $90,145 compared to $64,989 in Oakland park.
- A higher percentage of married families is found in Milan at 51.0% compared to 30.0% in Oakland park.
- The poverty level is higher in Oakland park at 14%, compared to 5% in Milan.
- The unemployment rate in Milan is higher at 3.5%, compared to 3.1% in Oakland park.
Demographics
Demographics Milan vs Oakland park provide insight into the diversity of the communities to compare.
| Demographic | Milan | Oakland park |
|---|---|---|
| Black | 2 | 29 |
| White | 94 | 20 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 32 |
| Two or More Races | 2 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Milan vs Oakland park
- In Oakland park, the percentage of Black residents is higher at 29% compared to 2% in Milan.
- Milan has a higher percentage of White residents at 94% compared to 20% in Oakland park.
- In Oakland park, the Asian population stands at 2%, greater than 0% in Milan.
- Oakland park has a higher percentage of Hispanic residents at 32%, compared to 2% in Milan.
- The percentage of residents identifying as two or more races is higher in Oakland park at 17%, compared to 2% in Milan.
- The percentage of American Indian residents is the same in both Milan and Oakland park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milan | Oakland park |
|---|---|---|
| Mental Health Not Good | 16.5% | 16.3% |
| Physical Health Not Good | 10.6% | 12.2% |
| Depression | 24.1% | 17.8% |
| Smoking | 19.3% | 20.1% |
| Binge Drinking | 21.0% | 15.0% |
| Obesity | 39.2% | 31.1% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Milan vs Oakland park
- More residents in Milan report poor mental health at 16.5% compared to 16.3% in Oakland park.
- Depression is more prevalent in Milan at 24.1% compared to 17.8% in Oakland park.
- Oakland park has a higher smoking rate at 20.1% compared to 19.3% in Milan.
- Binge drinking is more common in Milan at 21.0% compared to 15.0% in Oakland park.
- Obesity rates are higher in Milan at 39.2% compared to 31.1% in Oakland park.
- Disability percentages are higher in Milan at 13.0% 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 | Milan | Oakland park |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (596) |
| High School Diploma | 30.7% (417) | 19.8% (8,695) |
| Less than High School | 4.0% (54) | 16.2% (7,092) |
| Bachelor's Degree and Higher | 18.3% (249) | 20.7% (9,073) |
Education Levels Comparison: Milan vs Oakland park
- In Oakland park, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Milan.
- A higher percentage of residents in Milan hold a high school diploma at 30.7% 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 4.0% in Milan.
- In Oakland park, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 18.3% in Milan.
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.