Demographics details for Viburnum, MO vs Oxford, NC
Population Overview
Compare main population characteristics in Viburnum, MO vs Oxford, NC.
| Data | Viburnum | Oxford |
|---|---|---|
| Population | 660 | 8,771 |
| Median Age | 46.3 years | 43.1 years |
| Median Income | $51,429 | $42,016 |
| Married Families | 47.0% | 29.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Viburnum vs Oxford
- The population in Oxford is higher at 8,771, compared to 660 in Viburnum.
- Residents in Viburnum have a higher median age of 46.3 years compared to 43.1 years in Oxford.
- Viburnum has a higher median income of $51,429 compared to $42,016 in Oxford.
- A higher percentage of married families is found in Viburnum at 47.0% compared to 29.0% in Oxford.
- The poverty level is identical in both Viburnum and Oxford at 12%.
- Oxford has a higher unemployment rate at 4.1% compared to 3.5% in Viburnum.
Demographics
Demographics Viburnum vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Viburnum | Oxford |
|---|---|---|
| Black | Data is updating | 55 |
| White | 91 | 31 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 6 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Viburnum vs Oxford
- In Oxford, the percentage of Black residents is higher at 55% compared to 0% in Viburnum.
- Viburnum has a higher percentage of White residents at 91% compared to 31% in Oxford.
- In Oxford, the Asian population stands at 1%, greater than 0% in Viburnum.
- Oxford has a higher percentage of Hispanic residents at 6%, compared to 1% in Viburnum.
- More residents identify as two or more races in Viburnum at 8% compared to 7% in Oxford.
- The percentage of American Indian residents is the same in both Viburnum and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Viburnum | Oxford |
|---|---|---|
| Mental Health Not Good | 19.6% | 17.7% |
| Physical Health Not Good | 14.3% | 13.3% |
| Depression | 26.8% | 22.8% |
| Smoking | 25.5% | 20.8% |
| Binge Drinking | 17.1% | 14.8% |
| Obesity | 39.1% | 45.0% |
| Disability Percentage | 31.0% | 15.0% |
Health Statistics Comparison: Viburnum vs Oxford
- More residents in Viburnum report poor mental health at 19.6% compared to 17.7% in Oxford.
- Depression is more prevalent in Viburnum at 26.8% compared to 22.8% in Oxford.
- Smoking is more prevalent in Viburnum at 25.5% compared to 20.8% in Oxford.
- Binge drinking is more common in Viburnum at 17.1% compared to 14.8% in Oxford.
- Oxford has higher obesity rates at 45.0% compared to 39.1% in Viburnum.
- Disability percentages are higher in Viburnum at 31.0% compared to 15.0% in Oxford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Viburnum | Oxford |
|---|---|---|
| No Schooling | 0.6% (4) | 2.9% (256) |
| High School Diploma | 29.4% (194) | 15.8% (1,386) |
| Less than High School | 12.7% (84) | 11.2% (980) |
| Bachelor's Degree and Higher | 17.1% (113) | 16.6% (1,457) |
Education Levels Comparison: Viburnum vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 2.9% compared to 0.6% in Viburnum.
- A higher percentage of residents in Viburnum hold a high school diploma at 29.4% compared to 15.8% in Oxford.
- More residents in Viburnum have less than a high school education at 12.7% compared to 11.2% in Oxford.
- A higher percentage of residents in Viburnum hold a bachelor's degree or higher at 17.1% 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.