Demographics details for Sandy, UT vs South holland, IL
Population Overview
Compare main population characteristics in Sandy, UT vs South holland, IL.
| Data | Sandy | South holland |
|---|---|---|
| Population | 93,022 | 20,685 |
| Median Age | 36.9 years | 42.6 years |
| Median Income | $108,165 | $79,567 |
| Married Families | 47.0% | 34.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 3.6 | 5.2 |
Population Comparison: Sandy vs South holland
- In Sandy, the population is higher at 93,022, compared to 20,685 in South holland.
- The median age in South holland is higher at 42.6 years, compared to 36.9 years in Sandy.
- Sandy has a higher median income of $108,165 compared to $79,567 in South holland.
- A higher percentage of married families is found in Sandy at 47.0% compared to 34.0% in South holland.
- The poverty level is higher in South holland at 10%, compared to 6% in Sandy.
- South holland has a higher unemployment rate at 5.2% compared to 3.6% in Sandy.
Demographics
Demographics Sandy vs South holland provide insight into the diversity of the communities to compare.
| Demographic | Sandy | South holland |
|---|---|---|
| Black | 1 | 83 |
| White | 77 | 8 |
| Asian | 4 | 1 |
| Hispanic | 11 | 5 |
| Two or More Races | 6 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Sandy vs South holland
- In South holland, the percentage of Black residents is higher at 83% compared to 1% in Sandy.
- Sandy has a higher percentage of White residents at 77% compared to 8% in South holland.
- The Asian population is larger in Sandy at 4% compared to 1% in South holland.
- The Hispanic community is larger in Sandy at 11% compared to 5% in South holland.
- More residents identify as two or more races in Sandy at 6% compared to 3% in South holland.
- A greater percentage of American Indian residents live in Sandy at 1% compared to 0% in South holland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sandy | South holland |
|---|---|---|
| Mental Health Not Good | 17.1% | 14.8% |
| Physical Health Not Good | 9.4% | 10.9% |
| Depression | 26.7% | 15.1% |
| Smoking | 7.8% | 15.3% |
| Binge Drinking | 16.4% | 15.6% |
| Obesity | 29.0% | 37.3% |
| Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: Sandy vs South holland
- More residents in Sandy report poor mental health at 17.1% compared to 14.8% in South holland.
- Depression is more prevalent in Sandy at 26.7% compared to 15.1% in South holland.
- South holland has a higher smoking rate at 15.3% compared to 7.8% in Sandy.
- Binge drinking is more common in Sandy at 16.4% compared to 15.6% in South holland.
- South holland has higher obesity rates at 37.3% compared to 29.0% in Sandy.
- There is a higher percentage of disabled individuals in South holland 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 | South holland |
|---|---|---|
| No Schooling | 0.5% (424) | 0.5% (94) |
| High School Diploma | 10.9% (10,176) | 15.5% (3,210) |
| Less than High School | 5.7% (5,337) | 7.8% (1,623) |
| Bachelor's Degree and Higher | 30.5% (28,394) | 20.0% (4,142) |
Education Levels Comparison: Sandy vs South holland
- The percentage of residents with no formal schooling is the same in both Sandy and South holland at 0.5%.
- In South holland, the rate of residents with high school diplomas is higher at 15.5% compared to 10.9% in Sandy.
- The percentage of residents with less than a high school education is higher in South holland at 7.8%, 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 20.0% in South holland.
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.