Demographics details for Santa clara, CA vs Butler, WI
Population Overview
Compare main population characteristics in Santa clara, CA vs Butler, WI.
| Data | Santa clara | Butler |
|---|---|---|
| Population | 126,930 | 1,811 |
| Median Age | 34.5 years | 38.0 years |
| Median Income | $165,352 | $65,000 |
| Married Families | 45.0% | 52.0% |
| Poverty Level | 8% | 5% |
| Unemployment Rate | 3.9 | 3.5 |
Population Comparison: Santa clara vs Butler
- In Santa clara, the population is higher at 126,930, compared to 1,811 in Butler.
- The median age in Butler is higher at 38.0 years, compared to 34.5 years in Santa clara.
- Santa clara has a higher median income of $165,352 compared to $65,000 in Butler.
- In Butler, the percentage of married families is higher at 52.0%, compared to 45.0% in Santa clara.
- Santa clara has a higher poverty level at 8% compared to 5% in Butler.
- The unemployment rate in Santa clara is higher at 3.9%, compared to 3.5% in Butler.
Demographics
Demographics Santa clara vs Butler provide insight into the diversity of the communities to compare.
| Demographic | Santa clara | Butler |
|---|---|---|
| Black | 2 | 2 |
| White | 27 | 88 |
| Asian | 48 | 5 |
| Hispanic | 15 | 3 |
| Two or More Races | 8 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Santa clara vs Butler
- The percentage of Black residents is the same in both Santa clara and Butler at 2%.
- The percentage of White residents is higher in Butler at 88% compared to 27% in Santa clara.
- The Asian population is larger in Santa clara at 48% compared to 5% in Butler.
- The Hispanic community is larger in Santa clara at 15% compared to 3% in Butler.
- More residents identify as two or more races in Santa clara at 8% compared to 2% in Butler.
- The percentage of American Indian residents is the same in both Santa clara and Butler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa clara | Butler |
|---|---|---|
| Mental Health Not Good | 12.0% | Data is updating% |
| Physical Health Not Good | 7.4% | Data is updating% |
| Depression | 14.2% | Data is updating% |
| Smoking | 7.1% | Data is updating% |
| Binge Drinking | 13.9% | Data is updating% |
| Obesity | 18.6% | Data is updating% |
| Disability Percentage | 7.0% | Data is updating% |
Health Statistics Comparison: Santa clara vs Butler
- More residents in Santa clara report poor mental health at 12.0% compared to 0.0% in Butler.
- Depression is more prevalent in Santa clara at 14.2% compared to 0.0% in Butler.
- Smoking is more prevalent in Santa clara at 7.1% compared to 0.0% in Butler.
- Binge drinking is more common in Santa clara at 13.9% compared to 0.0% in Butler.
- Obesity rates are higher in Santa clara at 18.6% compared to 0.0% in Butler.
- Disability percentages are higher in Santa clara at 7.0% compared to 0.0% in Butler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa clara | Butler |
|---|---|---|
| No Schooling | 0.9% (1,134) | 0.0% (Data is updating) |
| High School Diploma | 7.3% (9,232) | 0.0% (Data is updating) |
| Less than High School | 7.1% (8,967) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 46.5% (58,962) | 0.0% (Data is updating) |
Education Levels Comparison: Santa clara vs Butler
- A higher percentage of residents in Santa clara have no formal schooling at 0.9% compared to 0.0% in Butler.
- A higher percentage of residents in Santa clara hold a high school diploma at 7.3% compared to 0.0% in Butler.
- More residents in Santa clara have less than a high school education at 7.1% compared to 0.0% in Butler.
- A higher percentage of residents in Santa clara hold a bachelor's degree or higher at 46.5% compared to 0.0% in Butler.
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.