Demographics details for Oxford, MS vs Tampa, FL
Population Overview
Compare main population characteristics in Oxford, MS vs Tampa, FL.
| Data | Oxford | Tampa |
|---|---|---|
| Population | 26,437 | 398,173 |
| Median Age | 27.7 years | 35.5 years |
| Median Income | $56,784 | $66,802 |
| Married Families | 28.0% | 31.0% |
| Poverty Level | 18% | 17% |
| Unemployment Rate | 2.7 | 3.7 |
Population Comparison: Oxford vs Tampa
- The population in Tampa is higher at 398,173, compared to 26,437 in Oxford.
- The median age in Tampa is higher at 35.5 years, compared to 27.7 years in Oxford.
- Tampa has a higher median income of $66,802, compared to $56,784 in Oxford.
- In Tampa, the percentage of married families is higher at 31.0%, compared to 28.0% in Oxford.
- Oxford has a higher poverty level at 18% compared to 17% in Tampa.
- Tampa has a higher unemployment rate at 3.7% compared to 2.7% in Oxford.
Demographics
Demographics Oxford vs Tampa provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Tampa |
|---|---|---|
| Black | 25 | 21 |
| White | 68 | 35 |
| Asian | 3 | 5 |
| Hispanic | 2 | 26 |
| Two or More Races | 2 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Tampa
- A higher percentage of Black residents are in Oxford at 25% compared to 21% in Tampa.
- Oxford has a higher percentage of White residents at 68% compared to 35% in Tampa.
- In Tampa, the Asian population stands at 5%, greater than 3% in Oxford.
- Tampa has a higher percentage of Hispanic residents at 26%, compared to 2% in Oxford.
- The percentage of residents identifying as two or more races is higher in Tampa at 13%, compared to 2% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Tampa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Tampa |
|---|---|---|
| Mental Health Not Good | 15.1% | 15.8% |
| Physical Health Not Good | 10.6% | 11.8% |
| Depression | 21.3% | 17.6% |
| Smoking | 15.2% | 18.0% |
| Binge Drinking | 14.9% | 15.8% |
| Obesity | 35.0% | 31.6% |
| Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Oxford vs Tampa
- In Tampa, a higher percentage report poor mental health at 15.8% compared to 15.1% in Oxford.
- Depression is more prevalent in Oxford at 21.3% compared to 17.6% in Tampa.
- Tampa has a higher smoking rate at 18.0% compared to 15.2% in Oxford.
- More residents engage in binge drinking in Tampa at 15.8% compared to 14.9% in Oxford.
- Obesity rates are higher in Oxford at 35.0% compared to 31.6% in Tampa.
- There is a higher percentage of disabled individuals in Tampa 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 | Oxford | Tampa |
|---|---|---|
| No Schooling | 0.4% (114) | 1.2% (4,784) |
| High School Diploma | 7.0% (1,862) | 13.0% (51,749) |
| Less than High School | 5.5% (1,444) | 12.2% (48,642) |
| Bachelor's Degree and Higher | 33.0% (8,735) | 28.7% (114,410) |
Education Levels Comparison: Oxford vs Tampa
- In Tampa, a larger percentage of residents lack formal schooling at 1.2% compared to 0.4% in Oxford.
- In Tampa, the rate of residents with high school diplomas is higher at 13.0% compared to 7.0% in Oxford.
- The percentage of residents with less than a high school education is higher in Tampa at 12.2%, 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 28.7% in Tampa.
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.