Demographics details for Rudolph, WI vs Oxford, NC
Population Overview
Compare main population characteristics in Rudolph, WI vs Oxford, NC.
| Data | Rudolph | Oxford |
|---|---|---|
| Population | 439 | 8,771 |
| Median Age | 38.0 years | 43.1 years |
| Median Income | $65,000 | $42,016 |
| Married Families | 60.0% | 29.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Rudolph vs Oxford
- The population in Oxford is higher at 8,771, compared to 439 in Rudolph.
- The median age in Oxford is higher at 43.1 years, compared to 38.0 years in Rudolph.
- Rudolph has a higher median income of $65,000 compared to $42,016 in Oxford.
- A higher percentage of married families is found in Rudolph at 60.0% compared to 29.0% in Oxford.
- The poverty level is higher in Oxford at 12%, compared to 6% in Rudolph.
- Oxford has a higher unemployment rate at 4.1% compared to 3.5% in Rudolph.
Demographics
Demographics Rudolph vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Rudolph | Oxford |
|---|---|---|
| Black | Data is updating | 55 |
| White | 100 | 31 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 6 |
| Two or More Races | Data is updating | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rudolph vs Oxford
- In Oxford, the percentage of Black residents is higher at 55% compared to 0% in Rudolph.
- Rudolph has a higher percentage of White residents at 100% compared to 31% in Oxford.
- In Oxford, the Asian population stands at 1%, greater than 0% in Rudolph.
- Oxford has a higher percentage of Hispanic residents at 6%, compared to 0% in Rudolph.
- The percentage of residents identifying as two or more races is higher in Oxford at 7%, compared to 0% in Rudolph.
- The percentage of American Indian residents is the same in both Rudolph and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rudolph | Oxford |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.7% |
| Physical Health Not Good | Data is updating% | 13.3% |
| Depression | Data is updating% | 22.8% |
| Smoking | Data is updating% | 20.8% |
| Binge Drinking | Data is updating% | 14.8% |
| Obesity | Data is updating% | 45.0% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Rudolph vs Oxford
- In Oxford, a higher percentage report poor mental health at 17.7% compared to 0.0% in Rudolph.
- Higher depression rates are seen in Oxford at 22.8% versus 0.0% in Rudolph.
- Oxford has a higher smoking rate at 20.8% compared to 0.0% in Rudolph.
- More residents engage in binge drinking in Oxford at 14.8% compared to 0.0% in Rudolph.
- Oxford has higher obesity rates at 45.0% compared to 0.0% in Rudolph.
- There is a higher percentage of disabled individuals in Oxford at 15.0% compared to 0.0% in Rudolph.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rudolph | Oxford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.9% (256) |
| High School Diploma | 0.0% (Data is updating) | 15.8% (1,386) |
| Less than High School | 0.0% (Data is updating) | 11.2% (980) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 16.6% (1,457) |
Education Levels Comparison: Rudolph vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 2.9% compared to 0.0% in Rudolph.
- In Oxford, the rate of residents with high school diplomas is higher at 15.8% compared to 0.0% in Rudolph.
- The percentage of residents with less than a high school education is higher in Oxford at 11.2%, compared to 0.0% in Rudolph.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 16.6% compared to 0.0% in Rudolph.
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.