Demographics details for Livermore, CA vs Kaysville, UT
Population Overview
Compare main population characteristics in Livermore, CA vs Kaysville, UT.
| Data | Livermore | Kaysville |
|---|---|---|
| Population | 84,701 | 32,761 |
| Median Age | 40.3 years | 32.1 years |
| Median Income | $152,590 | $121,867 |
| Married Families | 48.0% | 45.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 3.9 | 3.7 |
Population Comparison: Livermore vs Kaysville
- In Livermore, the population is higher at 84,701, compared to 32,761 in Kaysville.
- Residents in Livermore have a higher median age of 40.3 years compared to 32.1 years in Kaysville.
- Livermore has a higher median income of $152,590 compared to $121,867 in Kaysville.
- A higher percentage of married families is found in Livermore at 48.0% compared to 45.0% in Kaysville.
- Livermore has a higher poverty level at 5% compared to 0% in Kaysville.
- The unemployment rate in Livermore is higher at 3.9%, compared to 3.7% in Kaysville.
Demographics
Demographics Livermore vs Kaysville provide insight into the diversity of the communities to compare.
| Demographic | Livermore | Kaysville |
|---|---|---|
| Black | 2 | Data is updating |
| White | 44 | 88 |
| Asian | 17 | 1 |
| Hispanic | 23 | 5 |
| Two or More Races | 13 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Livermore vs Kaysville
- A higher percentage of Black residents are in Livermore at 2% compared to 0% in Kaysville.
- The percentage of White residents is higher in Kaysville at 88% compared to 44% in Livermore.
- The Asian population is larger in Livermore at 17% compared to 1% in Kaysville.
- The Hispanic community is larger in Livermore at 23% compared to 5% in Kaysville.
- More residents identify as two or more races in Livermore at 13% compared to 6% in Kaysville.
- A greater percentage of American Indian residents live in Livermore at 1% compared to 0% in Kaysville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Livermore | Kaysville |
|---|---|---|
| Mental Health Not Good | 14.9% | 14.8% |
| Physical Health Not Good | 8.8% | 8.7% |
| Depression | 19.6% | 23.7% |
| Smoking | 9.4% | 6.7% |
| Binge Drinking | 18.4% | 11.4% |
| Obesity | 26.6% | 31.6% |
| Disability Percentage | 9.0% | 8.0% |
Health Statistics Comparison: Livermore vs Kaysville
- More residents in Livermore report poor mental health at 14.9% compared to 14.8% in Kaysville.
- Higher depression rates are seen in Kaysville at 23.7% versus 19.6% in Livermore.
- Smoking is more prevalent in Livermore at 9.4% compared to 6.7% in Kaysville.
- Binge drinking is more common in Livermore at 18.4% compared to 11.4% in Kaysville.
- Kaysville has higher obesity rates at 31.6% compared to 26.6% in Livermore.
- Disability percentages are higher in Livermore at 9.0% 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 | Livermore | Kaysville |
|---|---|---|
| No Schooling | 1.4% (1,173) | 0.4% (141) |
| High School Diploma | 9.5% (8,051) | 6.1% (1,986) |
| Less than High School | 7.8% (6,576) | 2.6% (859) |
| Bachelor's Degree and Higher | 35.4% (30,013) | 28.5% (9,340) |
Education Levels Comparison: Livermore vs Kaysville
- A higher percentage of residents in Livermore have no formal schooling at 1.4% compared to 0.4% in Kaysville.
- A higher percentage of residents in Livermore hold a high school diploma at 9.5% compared to 6.1% in Kaysville.
- More residents in Livermore have less than a high school education at 7.8% compared to 2.6% in Kaysville.
- A higher percentage of residents in Livermore hold a bachelor's degree or higher at 35.4% compared to 28.5% in Kaysville.
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.