Demographics details for Jefferson, SD vs Santa clarita, CA
Population Overview
Compare main population characteristics in Jefferson, SD vs Santa clarita, CA.
| Data | Jefferson | Santa clarita |
|---|---|---|
| Population | 457 | 221,345 |
| Median Age | 37.1 years | 37.3 years |
| Median Income | $77,601 | $116,186 |
| Married Families | 59.0% | 43.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 2.3 | 5.7 |
Population Comparison: Jefferson vs Santa clarita
- The population in Santa clarita is higher at 221,345, compared to 457 in Jefferson.
- The median age in Santa clarita is higher at 37.3 years, compared to 37.1 years in Jefferson.
- Santa clarita has a higher median income of $116,186, compared to $77,601 in Jefferson.
- A higher percentage of married families is found in Jefferson at 59.0% compared to 43.0% in Santa clarita.
- The poverty level is higher in Santa clarita at 8%, compared to 5% in Jefferson.
- Santa clarita has a higher unemployment rate at 5.7% compared to 2.3% in Jefferson.
Demographics
Demographics Jefferson vs Santa clarita provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Santa clarita |
|---|---|---|
| Black | Data is updating | 4 |
| White | 85 | 30 |
| Asian | Data is updating | 11 |
| Hispanic | 6 | 37 |
| Two or More Races | 4 | 17 |
| American Indian | 5 | 1 |
Demographics Comparison: Jefferson vs Santa clarita
- In Santa clarita, the percentage of Black residents is higher at 4% compared to 0% in Jefferson.
- Jefferson has a higher percentage of White residents at 85% compared to 30% in Santa clarita.
- In Santa clarita, the Asian population stands at 11%, greater than 0% in Jefferson.
- Santa clarita has a higher percentage of Hispanic residents at 37%, compared to 6% in Jefferson.
- The percentage of residents identifying as two or more races is higher in Santa clarita at 17%, compared to 4% in Jefferson.
- A greater percentage of American Indian residents live in Jefferson at 5% compared to 1% in Santa clarita.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Santa clarita |
|---|---|---|
| Mental Health Not Good | 12.5% | 14.7% |
| Physical Health Not Good | 8.2% | 9.6% |
| Depression | 16.7% | 16.8% |
| Smoking | 14.5% | 9.7% |
| Binge Drinking | 20.4% | 17.1% |
| Obesity | 38.6% | 26.2% |
| Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Jefferson vs Santa clarita
- In Santa clarita, a higher percentage report poor mental health at 14.7% compared to 12.5% in Jefferson.
- Higher depression rates are seen in Santa clarita at 16.8% versus 16.7% in Jefferson.
- Smoking is more prevalent in Jefferson at 14.5% compared to 9.7% in Santa clarita.
- Binge drinking is more common in Jefferson at 20.4% compared to 17.1% in Santa clarita.
- Obesity rates are higher in Jefferson at 38.6% compared to 26.2% in Santa clarita.
- Disability percentages are higher in Jefferson at 14.0% compared to 10.0% in Santa clarita.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Santa clarita |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (3,097) |
| High School Diploma | 22.3% (102) | 10.7% (23,725) |
| Less than High School | 7.9% (36) | 11.7% (25,882) |
| Bachelor's Degree and Higher | 23.0% (105) | 26.1% (57,684) |
Education Levels Comparison: Jefferson vs Santa clarita
- In Santa clarita, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Jefferson.
- A higher percentage of residents in Jefferson hold a high school diploma at 22.3% 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 7.9% in Jefferson.
- In Santa clarita, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 23.0% in Jefferson.
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.