Demographics details for Sandy, UT vs Jefferson, OR
Population Overview
Compare main population characteristics in Sandy, UT vs Jefferson, OR.
| Data | Sandy | Jefferson |
|---|---|---|
| Population | 93,022 | 3,304 |
| Median Age | 36.9 years | 31.7 years |
| Median Income | $108,165 | $87,604 |
| Married Families | 47.0% | 39.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 3.6 | 3.5 |
Population Comparison: Sandy vs Jefferson
- In Sandy, the population is higher at 93,022, compared to 3,304 in Jefferson.
- Residents in Sandy have a higher median age of 36.9 years compared to 31.7 years in Jefferson.
- Sandy has a higher median income of $108,165 compared to $87,604 in Jefferson.
- A higher percentage of married families is found in Sandy at 47.0% compared to 39.0% in Jefferson.
- The poverty level is higher in Jefferson at 10%, compared to 6% in Sandy.
- The unemployment rate in Sandy is higher at 3.6%, compared to 3.5% in Jefferson.
Demographics
Demographics Sandy vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Sandy | Jefferson |
|---|---|---|
| Black | 1 | 2 |
| White | 77 | 67 |
| Asian | 4 | Data is updating |
| Hispanic | 11 | 20 |
| Two or More Races | 6 | 10 |
| American Indian | 1 | 1 |
Demographics Comparison: Sandy vs Jefferson
- In Jefferson, the percentage of Black residents is higher at 2% compared to 1% in Sandy.
- Sandy has a higher percentage of White residents at 77% compared to 67% in Jefferson.
- The Asian population is larger in Sandy at 4% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 20%, compared to 11% in Sandy.
- The percentage of residents identifying as two or more races is higher in Jefferson at 10%, compared to 6% in Sandy.
- The percentage of American Indian residents is the same in both Sandy and Jefferson at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sandy | Jefferson |
|---|---|---|
| Mental Health Not Good | 17.1% | 18.4% |
| Physical Health Not Good | 9.4% | 12.0% |
| Depression | 26.7% | 28.9% |
| Smoking | 7.8% | 16.5% |
| Binge Drinking | 16.4% | 16.4% |
| Obesity | 29.0% | 36.5% |
| Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: Sandy vs Jefferson
- In Jefferson, a higher percentage report poor mental health at 18.4% compared to 17.1% in Sandy.
- Higher depression rates are seen in Jefferson at 28.9% versus 26.7% in Sandy.
- Jefferson has a higher smoking rate at 16.5% compared to 7.8% in Sandy.
- Binge drinking rates are similar in both Sandy and Jefferson at 16.4%.
- Jefferson has higher obesity rates at 36.5% compared to 29.0% in Sandy.
- There is a higher percentage of disabled individuals in Jefferson at 13.0% compared to 9.0% in Sandy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sandy | Jefferson |
|---|---|---|
| No Schooling | 0.5% (424) | 2.4% (78) |
| High School Diploma | 10.9% (10,176) | 13.0% (430) |
| Less than High School | 5.7% (5,337) | 13.9% (458) |
| Bachelor's Degree and Higher | 30.5% (28,394) | 11.0% (363) |
Education Levels Comparison: Sandy vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.4% compared to 0.5% in Sandy.
- In Jefferson, the rate of residents with high school diplomas is higher at 13.0% compared to 10.9% in Sandy.
- The percentage of residents with less than a high school education is higher in Jefferson at 13.9%, compared to 5.7% in Sandy.
- A higher percentage of residents in Sandy hold a bachelor's degree or higher at 30.5% compared to 11.0% in Jefferson.
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.