Demographics details for Spencer, WI vs Santa clarita, CA
Population Overview
Compare main population characteristics in Spencer, WI vs Santa clarita, CA.
| Data | Spencer | Santa clarita |
|---|---|---|
| Population | 1,809 | 221,345 |
| Median Age | 35.1 years | 37.3 years |
| Median Income | $67,411 | $116,186 |
| Married Families | 34.0% | 43.0% |
| Poverty Level | 8% | 8% |
| Unemployment Rate | 3.5 | 5.7 |
Population Comparison: Spencer vs Santa clarita
- The population in Santa clarita is higher at 221,345, compared to 1,809 in Spencer.
- The median age in Santa clarita is higher at 37.3 years, compared to 35.1 years in Spencer.
- Santa clarita has a higher median income of $116,186, compared to $67,411 in Spencer.
- In Santa clarita, the percentage of married families is higher at 43.0%, compared to 34.0% in Spencer.
- The poverty level is identical in both Spencer and Santa clarita at 8%.
- Santa clarita has a higher unemployment rate at 5.7% compared to 3.5% in Spencer.
Demographics
Demographics Spencer vs Santa clarita provide insight into the diversity of the communities to compare.
| Demographic | Spencer | Santa clarita |
|---|---|---|
| Black | Data is updating | 4 |
| White | 98 | 30 |
| Asian | Data is updating | 11 |
| Hispanic | 1 | 37 |
| Two or More Races | 1 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Spencer vs Santa clarita
- In Santa clarita, the percentage of Black residents is higher at 4% compared to 0% in Spencer.
- Spencer has a higher percentage of White residents at 98% compared to 30% in Santa clarita.
- In Santa clarita, the Asian population stands at 11%, greater than 0% in Spencer.
- Santa clarita has a higher percentage of Hispanic residents at 37%, compared to 1% in Spencer.
- The percentage of residents identifying as two or more races is higher in Santa clarita at 17%, compared to 1% in Spencer.
- In Santa clarita, the percentage of American Indian residents is higher at 1%, compared to 0% in Spencer.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spencer | Santa clarita |
|---|---|---|
| Mental Health Not Good | 15.0% | 14.7% |
| Physical Health Not Good | 10.0% | 9.6% |
| Depression | 24.5% | 16.8% |
| Smoking | 16.6% | 9.7% |
| Binge Drinking | 25.9% | 17.1% |
| Obesity | 34.7% | 26.2% |
| Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Spencer vs Santa clarita
- More residents in Spencer report poor mental health at 15.0% compared to 14.7% in Santa clarita.
- Depression is more prevalent in Spencer at 24.5% compared to 16.8% in Santa clarita.
- Smoking is more prevalent in Spencer at 16.6% compared to 9.7% in Santa clarita.
- Binge drinking is more common in Spencer at 25.9% compared to 17.1% in Santa clarita.
- Obesity rates are higher in Spencer at 34.7% compared to 26.2% in Santa clarita.
- There is a higher percentage of disabled individuals in Santa clarita at 10.0% compared to 9.0% in Spencer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Spencer | Santa clarita |
|---|---|---|
| No Schooling | 0.3% (6) | 1.4% (3,097) |
| High School Diploma | 20.9% (378) | 10.7% (23,725) |
| Less than High School | 10.5% (190) | 11.7% (25,882) |
| Bachelor's Degree and Higher | 11.5% (208) | 26.1% (57,684) |
Education Levels Comparison: Spencer vs Santa clarita
- In Santa clarita, a larger percentage of residents lack formal schooling at 1.4% compared to 0.3% in Spencer.
- A higher percentage of residents in Spencer hold a high school diploma at 20.9% compared to 10.7% in Santa clarita.
- The percentage of residents with less than a high school education is higher in Santa clarita at 11.7%, compared to 10.5% in Spencer.
- In Santa clarita, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 11.5% in Spencer.
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.