Demographics details for Kaysville, UT vs Oxford, AL
Population Overview
Compare main population characteristics in Kaysville, UT vs Oxford, AL.
| Data | Kaysville | Oxford |
|---|---|---|
| Population | 32,761 | 22,002 |
| Median Age | 32.1 years | 37.4 years |
| Median Income | $121,867 | $66,031 |
| Married Families | 45.0% | 37.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 3.7 | 3.5 |
Population Comparison: Kaysville vs Oxford
- In Kaysville, the population is higher at 32,761, compared to 22,002 in Oxford.
- The median age in Oxford is higher at 37.4 years, compared to 32.1 years in Kaysville.
- Kaysville has a higher median income of $121,867 compared to $66,031 in Oxford.
- A higher percentage of married families is found in Kaysville at 45.0% compared to 37.0% in Oxford.
- The poverty level is higher in Oxford at 10%, compared to 0% in Kaysville.
- The unemployment rate in Kaysville is higher at 3.7%, compared to 3.5% in Oxford.
Demographics
Demographics Kaysville vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Kaysville | Oxford |
|---|---|---|
| Black | Data is updating | 16 |
| White | 88 | 73 |
| Asian | 1 | 1 |
| Hispanic | 5 | 7 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kaysville vs Oxford
- In Oxford, the percentage of Black residents is higher at 16% compared to 0% in Kaysville.
- Kaysville has a higher percentage of White residents at 88% compared to 73% in Oxford.
- Both Kaysville and Oxford have the same percentage of Asian residents at 1%.
- Oxford has a higher percentage of Hispanic residents at 7%, compared to 5% in Kaysville.
- More residents identify as two or more races in Kaysville at 6% compared to 3% in Oxford.
- The percentage of American Indian residents is the same in both Kaysville and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kaysville | Oxford |
|---|---|---|
| Mental Health Not Good | 14.8% | 18.8% |
| Physical Health Not Good | 8.7% | 13.2% |
| Depression | 23.7% | 23.8% |
| Smoking | 6.7% | 19.8% |
| Binge Drinking | 11.4% | 15.1% |
| Obesity | 31.6% | 37.4% |
| Disability Percentage | 8.0% | 19.0% |
Health Statistics Comparison: Kaysville vs Oxford
- In Oxford, a higher percentage report poor mental health at 18.8% compared to 14.8% in Kaysville.
- Higher depression rates are seen in Oxford at 23.8% versus 23.7% in Kaysville.
- Oxford has a higher smoking rate at 19.8% compared to 6.7% in Kaysville.
- More residents engage in binge drinking in Oxford at 15.1% compared to 11.4% in Kaysville.
- Oxford has higher obesity rates at 37.4% compared to 31.6% in Kaysville.
- There is a higher percentage of disabled individuals in Oxford at 19.0% compared to 8.0% in Kaysville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kaysville | Oxford |
|---|---|---|
| No Schooling | 0.4% (141) | 1.4% (306) |
| High School Diploma | 6.1% (1,986) | 16.1% (3,534) |
| Less than High School | 2.6% (859) | 17.9% (3,933) |
| Bachelor's Degree and Higher | 28.5% (9,340) | 16.5% (3,625) |
Education Levels Comparison: Kaysville vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Kaysville.
- In Oxford, the rate of residents with high school diplomas is higher at 16.1% compared to 6.1% in Kaysville.
- The percentage of residents with less than a high school education is higher in Oxford at 17.9%, compared to 2.6% in Kaysville.
- A higher percentage of residents in Kaysville hold a bachelor's degree or higher at 28.5% 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.