Demographics details for Whitehall, WI vs Oxford, NC
Population Overview
Compare main population characteristics in Whitehall, WI vs Oxford, NC.
| Data | Whitehall | Oxford |
|---|---|---|
| Population | 1,632 | 8,771 |
| Median Age | 36.8 years | 43.1 years |
| Median Income | $56,894 | $42,016 |
| Married Families | 30.0% | 29.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.6 | 4.1 |
Population Comparison: Whitehall vs Oxford
- The population in Oxford is higher at 8,771, compared to 1,632 in Whitehall.
- The median age in Oxford is higher at 43.1 years, compared to 36.8 years in Whitehall.
- Whitehall has a higher median income of $56,894 compared to $42,016 in Oxford.
- A higher percentage of married families is found in Whitehall at 30.0% compared to 29.0% in Oxford.
- The poverty level is higher in Oxford at 12%, compared to 7% in Whitehall.
- Oxford has a higher unemployment rate at 4.1% compared to 3.6% in Whitehall.
Demographics
Demographics Whitehall vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Whitehall | Oxford |
|---|---|---|
| Black | 1 | 55 |
| White | 83 | 31 |
| Asian | Data is updating | 1 |
| Hispanic | 12 | 6 |
| Two or More Races | 3 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Whitehall vs Oxford
- In Oxford, the percentage of Black residents is higher at 55% compared to 1% in Whitehall.
- Whitehall has a higher percentage of White residents at 83% compared to 31% in Oxford.
- In Oxford, the Asian population stands at 1%, greater than 0% in Whitehall.
- The Hispanic community is larger in Whitehall at 12% compared to 6% in Oxford.
- The percentage of residents identifying as two or more races is higher in Oxford at 7%, compared to 3% in Whitehall.
- A greater percentage of American Indian residents live in Whitehall at 1% compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitehall | Oxford |
|---|---|---|
| Mental Health Not Good | 15.2% | 17.7% |
| Physical Health Not Good | 10.3% | 13.3% |
| Depression | 24.0% | 22.8% |
| Smoking | 16.7% | 20.8% |
| Binge Drinking | 24.4% | 14.8% |
| Obesity | 34.9% | 45.0% |
| Disability Percentage | 15.0% | 15.0% |
Health Statistics Comparison: Whitehall vs Oxford
- In Oxford, a higher percentage report poor mental health at 17.7% compared to 15.2% in Whitehall.
- Depression is more prevalent in Whitehall at 24.0% compared to 22.8% in Oxford.
- Oxford has a higher smoking rate at 20.8% compared to 16.7% in Whitehall.
- Binge drinking is more common in Whitehall at 24.4% compared to 14.8% in Oxford.
- Oxford has higher obesity rates at 45.0% compared to 34.9% in Whitehall.
- Disability percentages are the same in both Whitehall 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 | Whitehall | Oxford |
|---|---|---|
| No Schooling | 0.4% (7) | 2.9% (256) |
| High School Diploma | 24.4% (398) | 15.8% (1,386) |
| Less than High School | 15.7% (256) | 11.2% (980) |
| Bachelor's Degree and Higher | 8.6% (141) | 16.6% (1,457) |
Education Levels Comparison: Whitehall vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 2.9% compared to 0.4% in Whitehall.
- A higher percentage of residents in Whitehall hold a high school diploma at 24.4% compared to 15.8% in Oxford.
- More residents in Whitehall have less than a high school education at 15.7% compared to 11.2% in Oxford.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 16.6% compared to 8.6% in Whitehall.
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.