Demographics details for Oxford, AL vs Olathe, KS
Population Overview
Compare main population characteristics in Oxford, AL vs Olathe, KS.
| Data | Oxford | Olathe |
|---|---|---|
| Population | 22,002 | 145,616 |
| Median Age | 37.4 years | 36.3 years |
| Median Income | $66,031 | $108,077 |
| Married Families | 37.0% | 44.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 3.5 | 3.1 |
Population Comparison: Oxford vs Olathe
- The population in Olathe is higher at 145,616, compared to 22,002 in Oxford.
- Residents in Oxford have a higher median age of 37.4 years compared to 36.3 years in Olathe.
- Olathe has a higher median income of $108,077, compared to $66,031 in Oxford.
- In Olathe, the percentage of married families is higher at 44.0%, compared to 37.0% in Oxford.
- Oxford has a higher poverty level at 10% compared to 7% in Olathe.
- The unemployment rate in Oxford is higher at 3.5%, compared to 3.1% in Olathe.
Demographics
Demographics Oxford vs Olathe provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Olathe |
|---|---|---|
| Black | 16 | 5 |
| White | 73 | 73 |
| Asian | 1 | 4 |
| Hispanic | 7 | 11 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Olathe
- A higher percentage of Black residents are in Oxford at 16% compared to 5% in Olathe.
- The percentage of White residents is the same in both Oxford and Olathe at 73%.
- In Olathe, the Asian population stands at 4%, greater than 1% in Oxford.
- Olathe has a higher percentage of Hispanic residents at 11%, compared to 7% in Oxford.
- The percentage of residents identifying as two or more races is higher in Olathe at 7%, compared to 3% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Olathe at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Olathe |
|---|---|---|
| Mental Health Not Good | 18.8% | 13.2% |
| Physical Health Not Good | 13.2% | 7.9% |
| Depression | 23.8% | 19.1% |
| Smoking | 19.8% | 11.6% |
| Binge Drinking | 15.1% | 19.7% |
| Obesity | 37.4% | 30.4% |
| Disability Percentage | 19.0% | 8.0% |
Health Statistics Comparison: Oxford vs Olathe
- More residents in Oxford report poor mental health at 18.8% compared to 13.2% in Olathe.
- Depression is more prevalent in Oxford at 23.8% compared to 19.1% in Olathe.
- Smoking is more prevalent in Oxford at 19.8% compared to 11.6% in Olathe.
- More residents engage in binge drinking in Olathe at 19.7% compared to 15.1% in Oxford.
- Obesity rates are higher in Oxford at 37.4% compared to 30.4% in Olathe.
- Disability percentages are higher in Oxford at 19.0% compared to 8.0% in Olathe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxford | Olathe |
|---|---|---|
| No Schooling | 1.4% (306) | 0.4% (512) |
| High School Diploma | 16.1% (3,534) | 9.0% (13,163) |
| Less than High School | 17.9% (3,933) | 6.3% (9,124) |
| Bachelor's Degree and Higher | 16.5% (3,625) | 32.3% (47,003) |
Education Levels Comparison: Oxford vs Olathe
- A higher percentage of residents in Oxford have no formal schooling at 1.4% compared to 0.4% in Olathe.
- A higher percentage of residents in Oxford hold a high school diploma at 16.1% compared to 9.0% in Olathe.
- More residents in Oxford have less than a high school education at 17.9% compared to 6.3% in Olathe.
- In Olathe, a larger share of residents have a bachelor's degree or higher at 32.3% compared to 16.5% 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.