Demographics details for Oxford, MS vs Clarksburg, WV
Population Overview
Compare main population characteristics in Oxford, MS vs Clarksburg, WV.
| Data | Oxford | Clarksburg |
|---|---|---|
| Population | 26,437 | 15,647 |
| Median Age | 27.7 years | 39.7 years |
| Median Income | $56,784 | $46,595 |
| Married Families | 28.0% | 32.0% |
| Poverty Level | 18% | 16% |
| Unemployment Rate | 2.7 | 4.2 |
Population Comparison: Oxford vs Clarksburg
- In Oxford, the population is higher at 26,437, compared to 15,647 in Clarksburg.
- The median age in Clarksburg is higher at 39.7 years, compared to 27.7 years in Oxford.
- Oxford has a higher median income of $56,784 compared to $46,595 in Clarksburg.
- In Clarksburg, 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 16% in Clarksburg.
- Clarksburg has a higher unemployment rate at 4.2% compared to 2.7% in Oxford.
Demographics
Demographics Oxford vs Clarksburg provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Clarksburg |
|---|---|---|
| Black | 25 | 3 |
| White | 68 | 90 |
| Asian | 3 | Data is updating |
| Hispanic | 2 | 2 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Clarksburg
- A higher percentage of Black residents are in Oxford at 25% compared to 3% in Clarksburg.
- The percentage of White residents is higher in Clarksburg at 90% compared to 68% in Oxford.
- The Asian population is larger in Oxford at 3% compared to 0% in Clarksburg.
- The percentage of Hispanic residents is the same in both Oxford and Clarksburg at 2%.
- The percentage of residents identifying as two or more races is higher in Clarksburg at 5%, compared to 2% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Clarksburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Clarksburg |
|---|---|---|
| Mental Health Not Good | 15.1% | 21.1% |
| Physical Health Not Good | 10.6% | 15.6% |
| Depression | 21.3% | 29.2% |
| Smoking | 15.2% | 25.6% |
| Binge Drinking | 14.9% | 13.1% |
| Obesity | 35.0% | 39.9% |
| Disability Percentage | 8.0% | 20.0% |
Health Statistics Comparison: Oxford vs Clarksburg
- In Clarksburg, a higher percentage report poor mental health at 21.1% compared to 15.1% in Oxford.
- Higher depression rates are seen in Clarksburg at 29.2% versus 21.3% in Oxford.
- Clarksburg has a higher smoking rate at 25.6% compared to 15.2% in Oxford.
- Binge drinking is more common in Oxford at 14.9% compared to 13.1% in Clarksburg.
- Clarksburg has higher obesity rates at 39.9% compared to 35.0% in Oxford.
- There is a higher percentage of disabled individuals in Clarksburg at 20.0% 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 | Clarksburg |
|---|---|---|
| No Schooling | 0.4% (114) | 0.4% (64) |
| High School Diploma | 7.0% (1,862) | 21.3% (3,327) |
| Less than High School | 5.5% (1,444) | 21.5% (3,357) |
| Bachelor's Degree and Higher | 33.0% (8,735) | 16.5% (2,584) |
Education Levels Comparison: Oxford vs Clarksburg
- The percentage of residents with no formal schooling is the same in both Oxford and Clarksburg at 0.4%.
- In Clarksburg, the rate of residents with high school diplomas is higher at 21.3% compared to 7.0% in Oxford.
- The percentage of residents with less than a high school education is higher in Clarksburg at 21.5%, 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 16.5% in Clarksburg.
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.