Demographics details for Oxford, NC vs Cudahy, WI
Population Overview
Compare main population characteristics in Oxford, NC vs Cudahy, WI.
| Data | Oxford | Cudahy |
|---|---|---|
| Population | 8,771 | 17,796 |
| Median Age | 43.1 years | 42.4 years |
| Median Income | $42,016 | $66,592 |
| Married Families | 29.0% | 39.0% |
| Poverty Level | 12% | 11% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Oxford vs Cudahy
- The population in Cudahy is higher at 17,796, compared to 8,771 in Oxford.
- Residents in Oxford have a higher median age of 43.1 years compared to 42.4 years in Cudahy.
- Cudahy has a higher median income of $66,592, compared to $42,016 in Oxford.
- In Cudahy, the percentage of married families is higher at 39.0%, compared to 29.0% in Oxford.
- Oxford has a higher poverty level at 12% compared to 11% in Cudahy.
- The unemployment rate in Oxford is higher at 4.1%, compared to 3.5% in Cudahy.
Demographics
Demographics Oxford vs Cudahy provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Cudahy |
|---|---|---|
| Black | 55 | 3 |
| White | 31 | 77 |
| Asian | 1 | 2 |
| Hispanic | 6 | 9 |
| Two or More Races | 7 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Cudahy
- A higher percentage of Black residents are in Oxford at 55% compared to 3% in Cudahy.
- The percentage of White residents is higher in Cudahy at 77% compared to 31% in Oxford.
- In Cudahy, the Asian population stands at 2%, greater than 1% in Oxford.
- Cudahy has a higher percentage of Hispanic residents at 9%, compared to 6% in Oxford.
- The percentage of residents identifying as two or more races is higher in Cudahy at 9%, compared to 7% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Cudahy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Cudahy |
|---|---|---|
| Mental Health Not Good | 17.7% | 15.5% |
| Physical Health Not Good | 13.3% | 9.6% |
| Depression | 22.8% | 24.3% |
| Smoking | 20.8% | 16.4% |
| Binge Drinking | 14.8% | 26.4% |
| Obesity | 45.0% | 34.2% |
| Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Oxford vs Cudahy
- More residents in Oxford report poor mental health at 17.7% compared to 15.5% in Cudahy.
- Higher depression rates are seen in Cudahy at 24.3% versus 22.8% in Oxford.
- Smoking is more prevalent in Oxford at 20.8% compared to 16.4% in Cudahy.
- More residents engage in binge drinking in Cudahy at 26.4% compared to 14.8% in Oxford.
- Obesity rates are higher in Oxford at 45.0% compared to 34.2% in Cudahy.
- There is a higher percentage of disabled individuals in Cudahy at 16.0% 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 | Oxford | Cudahy |
|---|---|---|
| No Schooling | 2.9% (256) | 0.9% (166) |
| High School Diploma | 15.8% (1,386) | 25.1% (4,460) |
| Less than High School | 11.2% (980) | 9.9% (1,768) |
| Bachelor's Degree and Higher | 16.6% (1,457) | 21.0% (3,730) |
Education Levels Comparison: Oxford vs Cudahy
- A higher percentage of residents in Oxford have no formal schooling at 2.9% compared to 0.9% in Cudahy.
- In Cudahy, the rate of residents with high school diplomas is higher at 25.1% compared to 15.8% in Oxford.
- More residents in Oxford have less than a high school education at 11.2% compared to 9.9% in Cudahy.
- In Cudahy, a larger share of residents have a bachelor's degree or higher at 21.0% 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.