Demographics details for League city, TX vs Kaysville, UT
Population Overview
Compare main population characteristics in League city, TX vs Kaysville, UT.
Data | League city | Kaysville |
---|---|---|
Population | 115,418 | 32,761 |
Median Age | 37.1 years | 32.1 years |
Median Income | $117,316 | $121,867 |
Married Families | 48.0% | 45.0% |
Poverty Level | 6% | Data is updating |
Unemployment Rate | 3.8 | 3.7 |
Population Comparison: League city vs Kaysville
- In League city, the population is higher at 115,418, compared to 32,761 in Kaysville.
- Residents in League city have a higher median age of 37.1 years compared to 32.1 years in Kaysville.
- Kaysville has a higher median income of $121,867, compared to $117,316 in League city.
- A higher percentage of married families is found in League city at 48.0% compared to 45.0% in Kaysville.
- League city has a higher poverty level at 6% compared to 0% in Kaysville.
- The unemployment rate in League city is higher at 3.8%, compared to 3.7% in Kaysville.
Demographics
Demographics League city vs Kaysville provide insight into the diversity of the communities to compare.
Demographic | League city | Kaysville |
---|---|---|
Black | 8 | Data is updating |
White | 57 | 88 |
Asian | 6 | 1 |
Hispanic | 19 | 5 |
Two or More Races | 10 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: League city vs Kaysville
- A higher percentage of Black residents are in League city at 8% compared to 0% in Kaysville.
- The percentage of White residents is higher in Kaysville at 88% compared to 57% in League city.
- The Asian population is larger in League city at 6% compared to 1% in Kaysville.
- The Hispanic community is larger in League city at 19% compared to 5% in Kaysville.
- More residents identify as two or more races in League city at 10% compared to 6% in Kaysville.
- The percentage of American Indian residents is the same in both League city and Kaysville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | League city | Kaysville |
---|---|---|
Mental Health Not Good | 14.1% | 14.8% |
Physical Health Not Good | 8.6% | 8.7% |
Depression | 21.0% | 23.7% |
Smoking | 11.2% | 6.7% |
Binge Drinking | 19.5% | 11.4% |
Obesity | 30.4% | 31.6% |
Disability Percentage | 9.0% | 8.0% |
Health Statistics Comparison: League city vs Kaysville
- In Kaysville, a higher percentage report poor mental health at 14.8% compared to 14.1% in League city.
- Higher depression rates are seen in Kaysville at 23.7% versus 21.0% in League city.
- Smoking is more prevalent in League city at 11.2% compared to 6.7% in Kaysville.
- Binge drinking is more common in League city at 19.5% compared to 11.4% in Kaysville.
- Kaysville has higher obesity rates at 31.6% compared to 30.4% in League city.
- Disability percentages are higher in League city 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 | League city | Kaysville |
---|---|---|
No Schooling | 0.5% (597) | 0.4% (141) |
High School Diploma | 8.9% (10,242) | 6.1% (1,986) |
Less than High School | 4.9% (5,692) | 2.6% (859) |
Bachelor's Degree and Higher | 31.5% (36,360) | 28.5% (9,340) |
Education Levels Comparison: League city vs Kaysville
- A higher percentage of residents in League city have no formal schooling at 0.5% compared to 0.4% in Kaysville.
- A higher percentage of residents in League city hold a high school diploma at 8.9% compared to 6.1% in Kaysville.
- More residents in League city have less than a high school education at 4.9% compared to 2.6% in Kaysville.
- A higher percentage of residents in League city hold a bachelor's degree or higher at 31.5% 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.