Demographics details for Oxford, AL vs Miami beach, FL
Population Overview
Compare main population characteristics in Oxford, AL vs Miami beach, FL.
| Data | Oxford | Miami beach |
|---|---|---|
| Population | 22,002 | 80,017 |
| Median Age | 37.4 years | 42.3 years |
| Median Income | $66,031 | $65,116 |
| Married Families | 37.0% | 37.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 3.5 | 2.0 |
Population Comparison: Oxford vs Miami beach
- The population in Miami beach is higher at 80,017, compared to 22,002 in Oxford.
- The median age in Miami beach is higher at 42.3 years, compared to 37.4 years in Oxford.
- Oxford has a higher median income of $66,031 compared to $65,116 in Miami beach.
- The percentage of married families is the same in both Oxford and Miami beach at 37.0%.
- The poverty level is higher in Miami beach at 11%, compared to 10% in Oxford.
- The unemployment rate in Oxford is higher at 3.5%, compared to 2.0% in Miami beach.
Demographics
Demographics Oxford vs Miami beach provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Miami beach |
|---|---|---|
| Black | 16 | 5 |
| White | 73 | 15 |
| Asian | 1 | 2 |
| Hispanic | 7 | 57 |
| Two or More Races | 3 | 21 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Miami beach
- A higher percentage of Black residents are in Oxford at 16% compared to 5% in Miami beach.
- Oxford has a higher percentage of White residents at 73% compared to 15% in Miami beach.
- In Miami beach, the Asian population stands at 2%, greater than 1% in Oxford.
- Miami beach has a higher percentage of Hispanic residents at 57%, compared to 7% in Oxford.
- The percentage of residents identifying as two or more races is higher in Miami beach at 21%, compared to 3% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Miami beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Miami beach |
|---|---|---|
| Mental Health Not Good | 18.8% | 14.0% |
| Physical Health Not Good | 13.2% | 9.9% |
| Depression | 23.8% | 15.3% |
| Smoking | 19.8% | 13.1% |
| Binge Drinking | 15.1% | 15.7% |
| Obesity | 37.4% | 26.3% |
| Disability Percentage | 19.0% | 9.0% |
Health Statistics Comparison: Oxford vs Miami beach
- More residents in Oxford report poor mental health at 18.8% compared to 14.0% in Miami beach.
- Depression is more prevalent in Oxford at 23.8% compared to 15.3% in Miami beach.
- Smoking is more prevalent in Oxford at 19.8% compared to 13.1% in Miami beach.
- More residents engage in binge drinking in Miami beach at 15.7% compared to 15.1% in Oxford.
- Obesity rates are higher in Oxford at 37.4% compared to 26.3% in Miami beach.
- Disability percentages are higher in Oxford at 19.0% compared to 9.0% in Miami beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxford | Miami beach |
|---|---|---|
| No Schooling | 1.4% (306) | 1.7% (1,321) |
| High School Diploma | 16.1% (3,534) | 12.9% (10,324) |
| Less than High School | 17.9% (3,933) | 15.6% (12,478) |
| Bachelor's Degree and Higher | 16.5% (3,625) | 41.7% (33,393) |
Education Levels Comparison: Oxford vs Miami beach
- In Miami beach, a larger percentage of residents lack formal schooling at 1.7% compared to 1.4% in Oxford.
- A higher percentage of residents in Oxford hold a high school diploma at 16.1% compared to 12.9% in Miami beach.
- More residents in Oxford have less than a high school education at 17.9% compared to 15.6% in Miami beach.
- In Miami beach, a larger share of residents have a bachelor's degree or higher at 41.7% compared to 16.5% in Oxford.
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.