Demographics details for Kaysville, UT vs Blue ridge, GA
Population Overview
Compare main population characteristics in Kaysville, UT vs Blue ridge, GA.
Data | Kaysville | Blue ridge |
---|---|---|
Population | 32,761 | 1,226 |
Median Age | 32.1 years | 47.3 years |
Median Income | $121,867 | $34,659 |
Married Families | 45.0% | 42.0% |
Poverty Level | Data is updating | 14% |
Unemployment Rate | 3.7 | 3.5 |
Population Comparison: Kaysville vs Blue ridge
- In Kaysville, the population is higher at 32,761, compared to 1,226 in Blue ridge.
- The median age in Blue ridge is higher at 47.3 years, compared to 32.1 years in Kaysville.
- Kaysville has a higher median income of $121,867 compared to $34,659 in Blue ridge.
- A higher percentage of married families is found in Kaysville at 45.0% compared to 42.0% in Blue ridge.
- The poverty level is higher in Blue ridge at 14%, compared to 0% in Kaysville.
- The unemployment rate in Kaysville is higher at 3.7%, compared to 3.5% in Blue ridge.
Demographics
Demographics Kaysville vs Blue ridge provide insight into the diversity of the communities to compare.
Demographic | Kaysville | Blue ridge |
---|---|---|
Black | Data is updating | 3 |
White | 88 | 93 |
Asian | 1 | Data is updating |
Hispanic | 5 | 3 |
Two or More Races | 6 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Kaysville vs Blue ridge
- In Blue ridge, the percentage of Black residents is higher at 3% compared to 0% in Kaysville.
- The percentage of White residents is higher in Blue ridge at 93% compared to 88% in Kaysville.
- The Asian population is larger in Kaysville at 1% compared to 0% in Blue ridge.
- The Hispanic community is larger in Kaysville at 5% compared to 3% in Blue ridge.
- More residents identify as two or more races in Kaysville at 6% compared to 1% in Blue ridge.
- The percentage of American Indian residents is the same in both Kaysville and Blue ridge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kaysville | Blue ridge |
---|---|---|
Mental Health Not Good | 14.8% | 17.5% |
Physical Health Not Good | 8.7% | 12.4% |
Depression | 23.7% | 23.5% |
Smoking | 6.7% | 18.6% |
Binge Drinking | 11.4% | 17.3% |
Obesity | 31.6% | 32.9% |
Disability Percentage | 8.0% | 27.0% |
Health Statistics Comparison: Kaysville vs Blue ridge
- In Blue ridge, a higher percentage report poor mental health at 17.5% compared to 14.8% in Kaysville.
- Depression is more prevalent in Kaysville at 23.7% compared to 23.5% in Blue ridge.
- Blue ridge has a higher smoking rate at 18.6% compared to 6.7% in Kaysville.
- More residents engage in binge drinking in Blue ridge at 17.3% compared to 11.4% in Kaysville.
- Blue ridge has higher obesity rates at 32.9% compared to 31.6% in Kaysville.
- There is a higher percentage of disabled individuals in Blue ridge at 27.0% 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 | Blue ridge |
---|---|---|
No Schooling | 0.4% (141) | 3.5% (43) |
High School Diploma | 6.1% (1,986) | 21.1% (259) |
Less than High School | 2.6% (859) | 38.8% (476) |
Bachelor's Degree and Higher | 28.5% (9,340) | 15.3% (187) |
Education Levels Comparison: Kaysville vs Blue ridge
- In Blue ridge, a larger percentage of residents lack formal schooling at 3.5% compared to 0.4% in Kaysville.
- In Blue ridge, the rate of residents with high school diplomas is higher at 21.1% compared to 6.1% in Kaysville.
- The percentage of residents with less than a high school education is higher in Blue ridge at 38.8%, 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 15.3% in Blue ridge.
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.