Demographics details for Oxford, MS vs Macclenny, FL
Population Overview
Compare main population characteristics in Oxford, MS vs Macclenny, FL.
| Data | Oxford | Macclenny |
|---|---|---|
| Population | 26,437 | 7,670 |
| Median Age | 27.7 years | 37.5 years |
| Median Income | $56,784 | $62,134 |
| Married Families | 28.0% | 32.0% |
| Poverty Level | 18% | 11% |
| Unemployment Rate | 2.7 | 3.5 |
Population Comparison: Oxford vs Macclenny
- In Oxford, the population is higher at 26,437, compared to 7,670 in Macclenny.
- The median age in Macclenny is higher at 37.5 years, compared to 27.7 years in Oxford.
- Macclenny has a higher median income of $62,134, compared to $56,784 in Oxford.
- In Macclenny, the percentage of married families is higher at 32.0%, compared to 28.0% in Oxford.
- Oxford has a higher poverty level at 18% compared to 11% in Macclenny.
- Macclenny has a higher unemployment rate at 3.5% compared to 2.7% in Oxford.
Demographics
Demographics Oxford vs Macclenny provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Macclenny |
|---|---|---|
| Black | 25 | 19 |
| White | 68 | 66 |
| Asian | 3 | 1 |
| Hispanic | 2 | 4 |
| Two or More Races | 2 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Oxford vs Macclenny
- A higher percentage of Black residents are in Oxford at 25% compared to 19% in Macclenny.
- Oxford has a higher percentage of White residents at 68% compared to 66% in Macclenny.
- The Asian population is larger in Oxford at 3% compared to 1% in Macclenny.
- Macclenny has a higher percentage of Hispanic residents at 4%, compared to 2% in Oxford.
- The percentage of residents identifying as two or more races is higher in Macclenny at 9%, compared to 2% in Oxford.
- In Macclenny, the percentage of American Indian residents is higher at 1%, compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Macclenny |
|---|---|---|
| Mental Health Not Good | 15.1% | 17.2% |
| Physical Health Not Good | 10.6% | 11.2% |
| Depression | 21.3% | 20.4% |
| Smoking | 15.2% | 22.6% |
| Binge Drinking | 14.9% | 17.1% |
| Obesity | 35.0% | 36.5% |
| Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: Oxford vs Macclenny
- In Macclenny, a higher percentage report poor mental health at 17.2% compared to 15.1% in Oxford.
- Depression is more prevalent in Oxford at 21.3% compared to 20.4% in Macclenny.
- Macclenny has a higher smoking rate at 22.6% compared to 15.2% in Oxford.
- More residents engage in binge drinking in Macclenny at 17.1% compared to 14.9% in Oxford.
- Macclenny has higher obesity rates at 36.5% compared to 35.0% in Oxford.
- There is a higher percentage of disabled individuals in Macclenny at 14.0% 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 | Oxford | Macclenny |
|---|---|---|
| No Schooling | 0.4% (114) | 0.1% (4) |
| High School Diploma | 7.0% (1,862) | 17.8% (1,365) |
| Less than High School | 5.5% (1,444) | 13.5% (1,033) |
| Bachelor's Degree and Higher | 33.0% (8,735) | 10.4% (799) |
Education Levels Comparison: Oxford vs Macclenny
- A higher percentage of residents in Oxford have no formal schooling at 0.4% compared to 0.1% in Macclenny.
- In Macclenny, the rate of residents with high school diplomas is higher at 17.8% compared to 7.0% in Oxford.
- The percentage of residents with less than a high school education is higher in Macclenny at 13.5%, compared to 5.5% in Oxford.
- A higher percentage of residents in Oxford hold a bachelor's degree or higher at 33.0% compared to 10.4% in Macclenny.
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.