Demographics details for Oxford, KS vs Kenosha, WI
Population Overview
Compare main population characteristics in Oxford, KS vs Kenosha, WI.
| Data | Oxford | Kenosha |
|---|---|---|
| Population | 1,048 | 98,484 |
| Median Age | 51.0 years | 36.3 years |
| Median Income | $53,164 | $64,963 |
| Married Families | 32.0% | 35.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Oxford vs Kenosha
- The population in Kenosha is higher at 98,484, compared to 1,048 in Oxford.
- Residents in Oxford have a higher median age of 51.0 years compared to 36.3 years in Kenosha.
- Kenosha has a higher median income of $64,963, compared to $53,164 in Oxford.
- In Kenosha, the percentage of married families is higher at 35.0%, compared to 32.0% in Oxford.
- The poverty level is higher in Kenosha at 13%, compared to 12% in Oxford.
- Kenosha has a higher unemployment rate at 4.1% compared to 3.5% in Oxford.
Demographics
Demographics Oxford vs Kenosha provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Kenosha |
|---|---|---|
| Black | 2 | 10 |
| White | 90 | 57 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 18 |
| Two or More Races | 5 | 12 |
| American Indian | 1 | 1 |
Demographics Comparison: Oxford vs Kenosha
- In Kenosha, the percentage of Black residents is higher at 10% compared to 2% in Oxford.
- Oxford has a higher percentage of White residents at 90% compared to 57% in Kenosha.
- In Kenosha, the Asian population stands at 2%, greater than 0% in Oxford.
- Kenosha has a higher percentage of Hispanic residents at 18%, compared to 2% in Oxford.
- The percentage of residents identifying as two or more races is higher in Kenosha at 12%, compared to 5% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Kenosha at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Kenosha |
|---|---|---|
| Mental Health Not Good | 15.8% | 15.7% |
| Physical Health Not Good | 9.8% | 11.1% |
| Depression | 21.1% | 23.4% |
| Smoking | 18.5% | 17.1% |
| Binge Drinking | 19.8% | 22.4% |
| Obesity | 39.1% | 38.8% |
| Disability Percentage | 17.0% | 14.0% |
Health Statistics Comparison: Oxford vs Kenosha
- More residents in Oxford report poor mental health at 15.8% compared to 15.7% in Kenosha.
- Higher depression rates are seen in Kenosha at 23.4% versus 21.1% in Oxford.
- Smoking is more prevalent in Oxford at 18.5% compared to 17.1% in Kenosha.
- More residents engage in binge drinking in Kenosha at 22.4% compared to 19.8% in Oxford.
- Obesity rates are higher in Oxford at 39.1% compared to 38.8% in Kenosha.
- Disability percentages are higher in Oxford at 17.0% compared to 14.0% in Kenosha.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxford | Kenosha |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.1% (1,036) |
| High School Diploma | 17.0% (178) | 15.4% (15,122) |
| Less than High School | 1.0% (10) | 12.9% (12,739) |
| Bachelor's Degree and Higher | 14.1% (148) | 18.1% (17,852) |
Education Levels Comparison: Oxford vs Kenosha
- In Kenosha, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Oxford.
- A higher percentage of residents in Oxford hold a high school diploma at 17.0% compared to 15.4% in Kenosha.
- The percentage of residents with less than a high school education is higher in Kenosha at 12.9%, compared to 1.0% in Oxford.
- In Kenosha, a larger share of residents have a bachelor's degree or higher at 18.1% compared to 14.1% 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.