Demographics details for Coral springs, FL vs Oxford, AL
Population Overview
Compare main population characteristics in Coral springs, FL vs Oxford, AL.
| Data | Coral springs | Oxford |
|---|---|---|
| Population | 133,369 | 22,002 |
| Median Age | 36.8 years | 37.4 years |
| Median Income | $87,488 | $66,031 |
| Married Families | 40.0% | 37.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 3.3 | 3.5 |
Population Comparison: Coral springs vs Oxford
- In Coral springs, the population is higher at 133,369, compared to 22,002 in Oxford.
- The median age in Oxford is higher at 37.4 years, compared to 36.8 years in Coral springs.
- Coral springs has a higher median income of $87,488 compared to $66,031 in Oxford.
- A higher percentage of married families is found in Coral springs at 40.0% compared to 37.0% in Oxford.
- The poverty level is higher in Oxford at 10%, compared to 9% in Coral springs.
- Oxford has a higher unemployment rate at 3.5% compared to 3.3% in Coral springs.
Demographics
Demographics Coral springs vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Coral springs | Oxford |
|---|---|---|
| Black | 25 | 16 |
| White | 25 | 73 |
| Asian | 6 | 1 |
| Hispanic | 29 | 7 |
| Two or More Races | 15 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Coral springs vs Oxford
- A higher percentage of Black residents are in Coral springs at 25% compared to 16% in Oxford.
- The percentage of White residents is higher in Oxford at 73% compared to 25% in Coral springs.
- The Asian population is larger in Coral springs at 6% compared to 1% in Oxford.
- The Hispanic community is larger in Coral springs at 29% compared to 7% in Oxford.
- More residents identify as two or more races in Coral springs at 15% compared to 3% in Oxford.
- The percentage of American Indian residents is the same in both Coral springs and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Coral springs | Oxford |
|---|---|---|
| Mental Health Not Good | 14.9% | 18.8% |
| Physical Health Not Good | 9.5% | 13.2% |
| Depression | 17.1% | 23.8% |
| Smoking | 15.1% | 19.8% |
| Binge Drinking | 15.4% | 15.1% |
| Obesity | 27.3% | 37.4% |
| Disability Percentage | 9.0% | 19.0% |
Health Statistics Comparison: Coral springs vs Oxford
- In Oxford, a higher percentage report poor mental health at 18.8% compared to 14.9% in Coral springs.
- Higher depression rates are seen in Oxford at 23.8% versus 17.1% in Coral springs.
- Oxford has a higher smoking rate at 19.8% compared to 15.1% in Coral springs.
- Binge drinking is more common in Coral springs at 15.4% compared to 15.1% in Oxford.
- Oxford has higher obesity rates at 37.4% compared to 27.3% in Coral springs.
- There is a higher percentage of disabled individuals in Oxford at 19.0% compared to 9.0% in Coral springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Coral springs | Oxford |
|---|---|---|
| No Schooling | 0.9% (1,208) | 1.4% (306) |
| High School Diploma | 13.8% (18,441) | 16.1% (3,534) |
| Less than High School | 6.2% (8,208) | 17.9% (3,933) |
| Bachelor's Degree and Higher | 25.6% (34,184) | 16.5% (3,625) |
Education Levels Comparison: Coral springs vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 1.4% compared to 0.9% in Coral springs.
- In Oxford, the rate of residents with high school diplomas is higher at 16.1% compared to 13.8% in Coral springs.
- The percentage of residents with less than a high school education is higher in Oxford at 17.9%, compared to 6.2% in Coral springs.
- A higher percentage of residents in Coral springs hold a bachelor's degree or higher at 25.6% 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.