Demographics details for Oxford, NC vs Orlando, FL
Population Overview
Compare main population characteristics in Oxford, NC vs Orlando, FL.
| Data | Oxford | Orlando |
|---|---|---|
| Population | 8,771 | 316,081 |
| Median Age | 43.1 years | 34.7 years |
| Median Income | $42,016 | $66,292 |
| Married Families | 29.0% | 31.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Oxford vs Orlando
- The population in Orlando is higher at 316,081, compared to 8,771 in Oxford.
- Residents in Oxford have a higher median age of 43.1 years compared to 34.7 years in Orlando.
- Orlando has a higher median income of $66,292, compared to $42,016 in Oxford.
- In Orlando, the percentage of married families is higher at 31.0%, compared to 29.0% in Oxford.
- The poverty level is identical in both Oxford and Orlando at 12%.
- The unemployment rate in Oxford is higher at 4.1%, compared to 3.2% in Orlando.
Demographics
Demographics Oxford vs Orlando provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Orlando |
|---|---|---|
| Black | 55 | 23 |
| White | 31 | 23 |
| Asian | 1 | 4 |
| Hispanic | 6 | 34 |
| Two or More Races | 7 | 16 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Orlando
- A higher percentage of Black residents are in Oxford at 55% compared to 23% in Orlando.
- Oxford has a higher percentage of White residents at 31% compared to 23% in Orlando.
- In Orlando, the Asian population stands at 4%, greater than 1% in Oxford.
- Orlando has a higher percentage of Hispanic residents at 34%, compared to 6% in Oxford.
- The percentage of residents identifying as two or more races is higher in Orlando at 16%, compared to 7% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Orlando at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Orlando |
|---|---|---|
| Mental Health Not Good | 17.7% | 15.5% |
| Physical Health Not Good | 13.3% | 11.5% |
| Depression | 22.8% | 17.2% |
| Smoking | 20.8% | 17.7% |
| Binge Drinking | 14.8% | 14.1% |
| Obesity | 45.0% | 31.1% |
| Disability Percentage | 15.0% | 9.0% |
Health Statistics Comparison: Oxford vs Orlando
- More residents in Oxford report poor mental health at 17.7% compared to 15.5% in Orlando.
- Depression is more prevalent in Oxford at 22.8% compared to 17.2% in Orlando.
- Smoking is more prevalent in Oxford at 20.8% compared to 17.7% in Orlando.
- Binge drinking is more common in Oxford at 14.8% compared to 14.1% in Orlando.
- Obesity rates are higher in Oxford at 45.0% compared to 31.1% in Orlando.
- Disability percentages are higher in Oxford at 15.0% compared to 9.0% in Orlando.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxford | Orlando |
|---|---|---|
| No Schooling | 2.9% (256) | 1.1% (3,445) |
| High School Diploma | 15.8% (1,386) | 13.7% (43,377) |
| Less than High School | 11.2% (980) | 9.2% (29,000) |
| Bachelor's Degree and Higher | 16.6% (1,457) | 28.8% (90,981) |
Education Levels Comparison: Oxford vs Orlando
- A higher percentage of residents in Oxford have no formal schooling at 2.9% compared to 1.1% in Orlando.
- A higher percentage of residents in Oxford hold a high school diploma at 15.8% compared to 13.7% in Orlando.
- More residents in Oxford have less than a high school education at 11.2% compared to 9.2% in Orlando.
- In Orlando, a larger share of residents have a bachelor's degree or higher at 28.8% compared to 16.6% 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.