Demographics details for Sandy, UT vs Santa ana, CA
Population Overview
Compare main population characteristics in Sandy, UT vs Santa ana, CA.
| Data | Sandy | Santa ana |
|---|---|---|
| Population | 93,022 | 308,189 |
| Median Age | 36.9 years | 33.4 years |
| Median Income | $108,165 | $84,210 |
| Married Families | 47.0% | 35.0% |
| Poverty Level | 6% | 14% |
| Unemployment Rate | 3.6 | 4.1 |
Population Comparison: Sandy vs Santa ana
- The population in Santa ana is higher at 308,189, compared to 93,022 in Sandy.
- Residents in Sandy have a higher median age of 36.9 years compared to 33.4 years in Santa ana.
- Sandy has a higher median income of $108,165 compared to $84,210 in Santa ana.
- A higher percentage of married families is found in Sandy at 47.0% compared to 35.0% in Santa ana.
- The poverty level is higher in Santa ana at 14%, compared to 6% in Sandy.
- Santa ana has a higher unemployment rate at 4.1% compared to 3.6% in Sandy.
Demographics
Demographics Sandy vs Santa ana provide insight into the diversity of the communities to compare.
| Demographic | Sandy | Santa ana |
|---|---|---|
| Black | 1 | 1 |
| White | 77 | -5 |
| Asian | 4 | 12 |
| Hispanic | 11 | 78 |
| Two or More Races | 6 | 13 |
| American Indian | 1 | 1 |
Demographics Comparison: Sandy vs Santa ana
- The percentage of Black residents is the same in both Sandy and Santa ana at 1%.
- Sandy has a higher percentage of White residents at 77% compared to -5% in Santa ana.
- In Santa ana, the Asian population stands at 12%, greater than 4% in Sandy.
- Santa ana has a higher percentage of Hispanic residents at 78%, compared to 11% in Sandy.
- The percentage of residents identifying as two or more races is higher in Santa ana at 13%, compared to 6% in Sandy.
- The percentage of American Indian residents is the same in both Sandy and Santa ana at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sandy | Santa ana |
|---|---|---|
| Mental Health Not Good | 17.1% | 16.4% |
| Physical Health Not Good | 9.4% | 13.8% |
| Depression | 26.7% | 17.2% |
| Smoking | 7.8% | 13.4% |
| Binge Drinking | 16.4% | 14.6% |
| Obesity | 29.0% | 31.6% |
| Disability Percentage | 9.0% | 8.0% |
Health Statistics Comparison: Sandy vs Santa ana
- More residents in Sandy report poor mental health at 17.1% compared to 16.4% in Santa ana.
- Depression is more prevalent in Sandy at 26.7% compared to 17.2% in Santa ana.
- Santa ana has a higher smoking rate at 13.4% compared to 7.8% in Sandy.
- Binge drinking is more common in Sandy at 16.4% compared to 14.6% in Santa ana.
- Santa ana has higher obesity rates at 31.6% compared to 29.0% in Sandy.
- Disability percentages are higher in Sandy at 9.0% compared to 8.0% in Santa ana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sandy | Santa ana |
|---|---|---|
| No Schooling | 0.5% (424) | 5.1% (15,819) |
| High School Diploma | 10.9% (10,176) | 14.7% (45,332) |
| Less than High School | 5.7% (5,337) | 42.9% (132,303) |
| Bachelor's Degree and Higher | 30.5% (28,394) | 11.6% (35,860) |
Education Levels Comparison: Sandy vs Santa ana
- In Santa ana, a larger percentage of residents lack formal schooling at 5.1% compared to 0.5% in Sandy.
- In Santa ana, the rate of residents with high school diplomas is higher at 14.7% compared to 10.9% in Sandy.
- The percentage of residents with less than a high school education is higher in Santa ana at 42.9%, 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 11.6% in Santa ana.
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.