Demographics details for Oxford, MS vs Burkesville, KY
Population Overview
Compare main population characteristics in Oxford, MS vs Burkesville, KY.
| Data | Oxford | Burkesville |
|---|---|---|
| Population | 26,437 | 1,380 |
| Median Age | 27.7 years | 51.6 years |
| Median Income | $56,784 | $26,563 |
| Married Families | 28.0% | 29.0% |
| Poverty Level | 18% | 14% |
| Unemployment Rate | 2.7 | 3.5 |
Population Comparison: Oxford vs Burkesville
- In Oxford, the population is higher at 26,437, compared to 1,380 in Burkesville.
- The median age in Burkesville is higher at 51.6 years, compared to 27.7 years in Oxford.
- Oxford has a higher median income of $56,784 compared to $26,563 in Burkesville.
- In Burkesville, the percentage of married families is higher at 29.0%, compared to 28.0% in Oxford.
- Oxford has a higher poverty level at 18% compared to 14% in Burkesville.
- Burkesville has a higher unemployment rate at 3.5% compared to 2.7% in Oxford.
Demographics
Demographics Oxford vs Burkesville provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Burkesville |
|---|---|---|
| Black | 25 | 11 |
| White | 68 | 83 |
| Asian | 3 | 1 |
| Hispanic | 2 | 3 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Burkesville
- A higher percentage of Black residents are in Oxford at 25% compared to 11% in Burkesville.
- The percentage of White residents is higher in Burkesville at 83% compared to 68% in Oxford.
- The Asian population is larger in Oxford at 3% compared to 1% in Burkesville.
- Burkesville has a higher percentage of Hispanic residents at 3%, compared to 2% in Oxford.
- Both Oxford and Burkesville have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Oxford and Burkesville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Burkesville |
|---|---|---|
| Mental Health Not Good | 15.1% | 21.8% |
| Physical Health Not Good | 10.6% | 16.8% |
| Depression | 21.3% | 29.6% |
| Smoking | 15.2% | 27.1% |
| Binge Drinking | 14.9% | 13.7% |
| Obesity | 35.0% | 43.9% |
| Disability Percentage | 8.0% | 28.0% |
Health Statistics Comparison: Oxford vs Burkesville
- In Burkesville, a higher percentage report poor mental health at 21.8% compared to 15.1% in Oxford.
- Higher depression rates are seen in Burkesville at 29.6% versus 21.3% in Oxford.
- Burkesville has a higher smoking rate at 27.1% compared to 15.2% in Oxford.
- Binge drinking is more common in Oxford at 14.9% compared to 13.7% in Burkesville.
- Burkesville has higher obesity rates at 43.9% compared to 35.0% in Oxford.
- There is a higher percentage of disabled individuals in Burkesville at 28.0% 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 | Burkesville |
|---|---|---|
| No Schooling | 0.4% (114) | 0.6% (8) |
| High School Diploma | 7.0% (1,862) | 32.7% (451) |
| Less than High School | 5.5% (1,444) | 35.8% (494) |
| Bachelor's Degree and Higher | 33.0% (8,735) | 5.2% (72) |
Education Levels Comparison: Oxford vs Burkesville
- In Burkesville, a larger percentage of residents lack formal schooling at 0.6% compared to 0.4% in Oxford.
- In Burkesville, the rate of residents with high school diplomas is higher at 32.7% compared to 7.0% in Oxford.
- The percentage of residents with less than a high school education is higher in Burkesville at 35.8%, 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 5.2% in Burkesville.
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.