Demographics details for Mount vernon, KY vs Kaysville, UT
Population Overview
Compare main population characteristics in Mount vernon, KY vs Kaysville, UT.
Data | Mount vernon | Kaysville |
---|---|---|
Population | 2,472 | 32,761 |
Median Age | 45.4 years | 32.1 years |
Median Income | $34,550 | $121,867 |
Married Families | 36.0% | 45.0% |
Poverty Level | 15% | Data is updating |
Unemployment Rate | 4.2 | 3.7 |
Population Comparison: Mount vernon vs Kaysville
- The population in Kaysville is higher at 32,761, compared to 2,472 in Mount vernon.
- Residents in Mount vernon have a higher median age of 45.4 years compared to 32.1 years in Kaysville.
- Kaysville has a higher median income of $121,867, compared to $34,550 in Mount vernon.
- In Kaysville, the percentage of married families is higher at 45.0%, compared to 36.0% in Mount vernon.
- Mount vernon has a higher poverty level at 15% compared to 0% in Kaysville.
- The unemployment rate in Mount vernon is higher at 4.2%, compared to 3.7% in Kaysville.
Demographics
Demographics Mount vernon vs Kaysville provide insight into the diversity of the communities to compare.
Demographic | Mount vernon | Kaysville |
---|---|---|
Black | Data is updating | Data is updating |
White | 94 | 88 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 5 |
Two or More Races | 6 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount vernon vs Kaysville
- The percentage of Black residents is the same in both Mount vernon and Kaysville at 0%.
- Mount vernon has a higher percentage of White residents at 94% compared to 88% in Kaysville.
- In Kaysville, the Asian population stands at 1%, greater than 0% in Mount vernon.
- Kaysville has a higher percentage of Hispanic residents at 5%, compared to 0% in Mount vernon.
- Both Mount vernon and Kaysville have the same percentage of residents identifying as two or more races at 6%.
- The percentage of American Indian residents is the same in both Mount vernon and Kaysville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount vernon | Kaysville |
---|---|---|
Mental Health Not Good | 21.3% | 14.8% |
Physical Health Not Good | 16.3% | 8.7% |
Depression | 30.7% | 23.7% |
Smoking | 26.1% | 6.7% |
Binge Drinking | 14.3% | 11.4% |
Obesity | 43.2% | 31.6% |
Disability Percentage | 23.0% | 8.0% |
Health Statistics Comparison: Mount vernon vs Kaysville
- More residents in Mount vernon report poor mental health at 21.3% compared to 14.8% in Kaysville.
- Depression is more prevalent in Mount vernon at 30.7% compared to 23.7% in Kaysville.
- Smoking is more prevalent in Mount vernon at 26.1% compared to 6.7% in Kaysville.
- Binge drinking is more common in Mount vernon at 14.3% compared to 11.4% in Kaysville.
- Obesity rates are higher in Mount vernon at 43.2% compared to 31.6% in Kaysville.
- Disability percentages are higher in Mount vernon at 23.0% 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 | Mount vernon | Kaysville |
---|---|---|
No Schooling | 0.5% (12) | 0.4% (141) |
High School Diploma | 17.4% (431) | 6.1% (1,986) |
Less than High School | 32.8% (810) | 2.6% (859) |
Bachelor's Degree and Higher | 7.4% (183) | 28.5% (9,340) |
Education Levels Comparison: Mount vernon vs Kaysville
- A higher percentage of residents in Mount vernon have no formal schooling at 0.5% compared to 0.4% in Kaysville.
- A higher percentage of residents in Mount vernon hold a high school diploma at 17.4% compared to 6.1% in Kaysville.
- More residents in Mount vernon have less than a high school education at 32.8% compared to 2.6% in Kaysville.
- In Kaysville, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 7.4% in Mount vernon.
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.