Demographics details for Bella vista, AR vs Oxford, NC
Population Overview
Compare main population characteristics in Bella vista, AR vs Oxford, NC.
| Data | Bella vista | Oxford |
|---|---|---|
| Population | 31,733 | 8,771 |
| Median Age | 50.2 years | 43.1 years |
| Median Income | $83,989 | $42,016 |
| Married Families | 54.0% | 29.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Bella vista vs Oxford
- In Bella vista, the population is higher at 31,733, compared to 8,771 in Oxford.
- Residents in Bella vista have a higher median age of 50.2 years compared to 43.1 years in Oxford.
- Bella vista has a higher median income of $83,989 compared to $42,016 in Oxford.
- A higher percentage of married families is found in Bella vista at 54.0% compared to 29.0% in Oxford.
- The poverty level is higher in Oxford at 12%, compared to 7% in Bella vista.
- Oxford has a higher unemployment rate at 4.1% compared to 3.5% in Bella vista.
Demographics
Demographics Bella vista vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Bella vista | Oxford |
|---|---|---|
| Black | Data is updating | 55 |
| White | 84 | 31 |
| Asian | 1 | 1 |
| Hispanic | 4 | 6 |
| Two or More Races | 10 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Bella vista vs Oxford
- In Oxford, the percentage of Black residents is higher at 55% compared to 0% in Bella vista.
- Bella vista has a higher percentage of White residents at 84% compared to 31% in Oxford.
- Both Bella vista and Oxford have the same percentage of Asian residents at 1%.
- Oxford has a higher percentage of Hispanic residents at 6%, compared to 4% in Bella vista.
- More residents identify as two or more races in Bella vista at 10% compared to 7% in Oxford.
- A greater percentage of American Indian residents live in Bella vista at 1% compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bella vista | Oxford |
|---|---|---|
| Mental Health Not Good | 16.4% | 17.7% |
| Physical Health Not Good | 10.1% | 13.3% |
| Depression | 24.0% | 22.8% |
| Smoking | 14.4% | 20.8% |
| Binge Drinking | 17.6% | 14.8% |
| Obesity | 33.0% | 45.0% |
| Disability Percentage | 15.0% | 15.0% |
Health Statistics Comparison: Bella vista vs Oxford
- In Oxford, a higher percentage report poor mental health at 17.7% compared to 16.4% in Bella vista.
- Depression is more prevalent in Bella vista at 24.0% compared to 22.8% in Oxford.
- Oxford has a higher smoking rate at 20.8% compared to 14.4% in Bella vista.
- Binge drinking is more common in Bella vista at 17.6% compared to 14.8% in Oxford.
- Oxford has higher obesity rates at 45.0% compared to 33.0% in Bella vista.
- Disability percentages are the same in both Bella vista and Oxford at 15.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bella vista | Oxford |
|---|---|---|
| No Schooling | 0.3% (110) | 2.9% (256) |
| High School Diploma | 17.0% (5,393) | 15.8% (1,386) |
| Less than High School | 5.9% (1,884) | 11.2% (980) |
| Bachelor's Degree and Higher | 27.5% (8,730) | 16.6% (1,457) |
Education Levels Comparison: Bella vista vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 2.9% compared to 0.3% in Bella vista.
- A higher percentage of residents in Bella vista hold a high school diploma at 17.0% compared to 15.8% in Oxford.
- The percentage of residents with less than a high school education is higher in Oxford at 11.2%, compared to 5.9% in Bella vista.
- A higher percentage of residents in Bella vista hold a bachelor's degree or higher at 27.5% 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.