Demographics details for Coconut creek, FL vs Oxford, MS
Population Overview
Compare main population characteristics in Coconut creek, FL vs Oxford, MS.
| Data | Coconut creek | Oxford |
|---|---|---|
| Population | 57,348 | 26,437 |
| Median Age | 42.4 years | 27.7 years |
| Median Income | $72,740 | $56,784 |
| Married Families | 37.0% | 28.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 3.2 | 2.7 |
Population Comparison: Coconut creek vs Oxford
- In Coconut creek, the population is higher at 57,348, compared to 26,437 in Oxford.
- Residents in Coconut creek have a higher median age of 42.4 years compared to 27.7 years in Oxford.
- Coconut creek has a higher median income of $72,740 compared to $56,784 in Oxford.
- A higher percentage of married families is found in Coconut creek at 37.0% compared to 28.0% in Oxford.
- The poverty level is higher in Oxford at 18%, compared to 10% in Coconut creek.
- The unemployment rate in Coconut creek is higher at 3.2%, compared to 2.7% in Oxford.
Demographics
Demographics Coconut creek vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Coconut creek | Oxford |
|---|---|---|
| Black | 15 | 25 |
| White | 39 | 68 |
| Asian | 3 | 3 |
| Hispanic | 27 | 2 |
| Two or More Races | 16 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Coconut creek vs Oxford
- In Oxford, the percentage of Black residents is higher at 25% compared to 15% in Coconut creek.
- The percentage of White residents is higher in Oxford at 68% compared to 39% in Coconut creek.
- Both Coconut creek and Oxford have the same percentage of Asian residents at 3%.
- The Hispanic community is larger in Coconut creek at 27% compared to 2% in Oxford.
- More residents identify as two or more races in Coconut creek at 16% compared to 2% in Oxford.
- The percentage of American Indian residents is the same in both Coconut creek and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Coconut creek | Oxford |
|---|---|---|
| Mental Health Not Good | 15.4% | 15.1% |
| Physical Health Not Good | 9.9% | 10.6% |
| Depression | 17.8% | 21.3% |
| Smoking | 16.2% | 15.2% |
| Binge Drinking | 15.6% | 14.9% |
| Obesity | 27.5% | 35.0% |
| Disability Percentage | 11.0% | 8.0% |
Health Statistics Comparison: Coconut creek vs Oxford
- More residents in Coconut creek report poor mental health at 15.4% compared to 15.1% in Oxford.
- Higher depression rates are seen in Oxford at 21.3% versus 17.8% in Coconut creek.
- Smoking is more prevalent in Coconut creek at 16.2% compared to 15.2% in Oxford.
- Binge drinking is more common in Coconut creek at 15.6% compared to 14.9% in Oxford.
- Oxford has higher obesity rates at 35.0% compared to 27.5% in Coconut creek.
- Disability percentages are higher in Coconut creek at 11.0% compared to 8.0% in Oxford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Coconut creek | Oxford |
|---|---|---|
| No Schooling | 1.4% (831) | 0.4% (114) |
| High School Diploma | 16.6% (9,506) | 7.0% (1,862) |
| Less than High School | 8.9% (5,111) | 5.5% (1,444) |
| Bachelor's Degree and Higher | 26.5% (15,196) | 33.0% (8,735) |
Education Levels Comparison: Coconut creek vs Oxford
- A higher percentage of residents in Coconut creek have no formal schooling at 1.4% compared to 0.4% in Oxford.
- A higher percentage of residents in Coconut creek hold a high school diploma at 16.6% compared to 7.0% in Oxford.
- More residents in Coconut creek have less than a high school education at 8.9% compared to 5.5% in Oxford.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 33.0% compared to 26.5% in Coconut creek.
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.