Demographics details for Kaysville, UT vs Elm city, NC
Population Overview
Compare main population characteristics in Kaysville, UT vs Elm city, NC.
| Data | Kaysville | Elm city |
|---|---|---|
| Population | 32,761 | 1,204 |
| Median Age | 32.1 years | 48.0 years |
| Median Income | $121,867 | $48,125 |
| Married Families | 45.0% | 43.0% |
| Poverty Level | Data is updating | 15% |
| Unemployment Rate | 3.7 | 5.1 |
Population Comparison: Kaysville vs Elm city
- In Kaysville, the population is higher at 32,761, compared to 1,204 in Elm city.
- The median age in Elm city is higher at 48.0 years, compared to 32.1 years in Kaysville.
- Kaysville has a higher median income of $121,867 compared to $48,125 in Elm city.
- A higher percentage of married families is found in Kaysville at 45.0% compared to 43.0% in Elm city.
- The poverty level is higher in Elm city at 15%, compared to 0% in Kaysville.
- Elm city has a higher unemployment rate at 5.1% compared to 3.7% in Kaysville.
Demographics
Demographics Kaysville vs Elm city provide insight into the diversity of the communities to compare.
| Demographic | Kaysville | Elm city |
|---|---|---|
| Black | Data is updating | 60 |
| White | 88 | 25 |
| Asian | 1 | 3 |
| Hispanic | 5 | 11 |
| Two or More Races | 6 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kaysville vs Elm city
- In Elm city, the percentage of Black residents is higher at 60% compared to 0% in Kaysville.
- Kaysville has a higher percentage of White residents at 88% compared to 25% in Elm city.
- In Elm city, the Asian population stands at 3%, greater than 1% in Kaysville.
- Elm city has a higher percentage of Hispanic residents at 11%, compared to 5% in Kaysville.
- More residents identify as two or more races in Kaysville at 6% compared to 1% in Elm city.
- The percentage of American Indian residents is the same in both Kaysville and Elm city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kaysville | Elm city |
|---|---|---|
| Mental Health Not Good | 14.8% | 16.8% |
| Physical Health Not Good | 8.7% | 12.0% |
| Depression | 23.7% | 21.2% |
| Smoking | 6.7% | 18.8% |
| Binge Drinking | 11.4% | 15.7% |
| Obesity | 31.6% | 37.9% |
| Disability Percentage | 8.0% | 19.0% |
Health Statistics Comparison: Kaysville vs Elm city
- In Elm city, a higher percentage report poor mental health at 16.8% compared to 14.8% in Kaysville.
- Depression is more prevalent in Kaysville at 23.7% compared to 21.2% in Elm city.
- Elm city has a higher smoking rate at 18.8% compared to 6.7% in Kaysville.
- More residents engage in binge drinking in Elm city at 15.7% compared to 11.4% in Kaysville.
- Elm city has higher obesity rates at 37.9% compared to 31.6% in Kaysville.
- There is a higher percentage of disabled individuals in Elm city 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 | Elm city |
|---|---|---|
| No Schooling | 0.4% (141) | 0.7% (8) |
| High School Diploma | 6.1% (1,986) | 24.1% (290) |
| Less than High School | 2.6% (859) | 15.1% (182) |
| Bachelor's Degree and Higher | 28.5% (9,340) | 11.5% (139) |
Education Levels Comparison: Kaysville vs Elm city
- In Elm city, a larger percentage of residents lack formal schooling at 0.7% compared to 0.4% in Kaysville.
- In Elm city, the rate of residents with high school diplomas is higher at 24.1% compared to 6.1% in Kaysville.
- The percentage of residents with less than a high school education is higher in Elm city at 15.1%, 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 11.5% in Elm city.
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.