Demographics details for Santa clara, CA vs Superior, WI
Population Overview
Compare main population characteristics in Santa clara, CA vs Superior, WI.
| Data | Santa clara | Superior |
|---|---|---|
| Population | 126,930 | 26,459 |
| Median Age | 34.5 years | 38.7 years |
| Median Income | $165,352 | $54,935 |
| Married Families | 45.0% | 33.0% |
| Poverty Level | 8% | 11% |
| Unemployment Rate | 3.9 | 3.8 |
Population Comparison: Santa clara vs Superior
- In Santa clara, the population is higher at 126,930, compared to 26,459 in Superior.
- The median age in Superior is higher at 38.7 years, compared to 34.5 years in Santa clara.
- Santa clara has a higher median income of $165,352 compared to $54,935 in Superior.
- A higher percentage of married families is found in Santa clara at 45.0% compared to 33.0% in Superior.
- The poverty level is higher in Superior at 11%, compared to 8% in Santa clara.
- The unemployment rate in Santa clara is higher at 3.9%, compared to 3.8% in Superior.
Demographics
Demographics Santa clara vs Superior provide insight into the diversity of the communities to compare.
| Demographic | Santa clara | Superior |
|---|---|---|
| Black | 2 | 2 |
| White | 27 | 87 |
| Asian | 48 | 2 |
| Hispanic | 15 | 2 |
| Two or More Races | 8 | 5 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Santa clara vs Superior
- The percentage of Black residents is the same in both Santa clara and Superior at 2%.
- The percentage of White residents is higher in Superior at 87% compared to 27% in Santa clara.
- The Asian population is larger in Santa clara at 48% compared to 2% in Superior.
- The Hispanic community is larger in Santa clara at 15% compared to 2% in Superior.
- More residents identify as two or more races in Santa clara at 8% compared to 5% in Superior.
- In Superior, the percentage of American Indian residents is higher at 2%, compared to 0% in Santa clara.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa clara | Superior |
|---|---|---|
| Mental Health Not Good | 12.0% | 15.7% |
| Physical Health Not Good | 7.4% | 10.8% |
| Depression | 14.2% | 24.0% |
| Smoking | 7.1% | 17.3% |
| Binge Drinking | 13.9% | 25.5% |
| Obesity | 18.6% | 36.9% |
| Disability Percentage | 7.0% | 16.0% |
Health Statistics Comparison: Santa clara vs Superior
- In Superior, a higher percentage report poor mental health at 15.7% compared to 12.0% in Santa clara.
- Higher depression rates are seen in Superior at 24.0% versus 14.2% in Santa clara.
- Superior has a higher smoking rate at 17.3% compared to 7.1% in Santa clara.
- More residents engage in binge drinking in Superior at 25.5% compared to 13.9% in Santa clara.
- Superior has higher obesity rates at 36.9% compared to 18.6% in Santa clara.
- There is a higher percentage of disabled individuals in Superior at 16.0% compared to 7.0% in Santa clara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa clara | Superior |
|---|---|---|
| No Schooling | 0.9% (1,134) | 0.6% (149) |
| High School Diploma | 7.3% (9,232) | 17.4% (4,616) |
| Less than High School | 7.1% (8,967) | 7.6% (2,003) |
| Bachelor's Degree and Higher | 46.5% (58,962) | 19.8% (5,251) |
Education Levels Comparison: Santa clara vs Superior
- A higher percentage of residents in Santa clara have no formal schooling at 0.9% compared to 0.6% in Superior.
- In Superior, the rate of residents with high school diplomas is higher at 17.4% compared to 7.3% in Santa clara.
- The percentage of residents with less than a high school education is higher in Superior at 7.6%, compared to 7.1% in Santa clara.
- A higher percentage of residents in Santa clara hold a bachelor's degree or higher at 46.5% compared to 19.8% in Superior.
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.