Demographics details for Jefferson, SD vs Compton, CA
Population Overview
Compare main population characteristics in Jefferson, SD vs Compton, CA.
| Data | Jefferson | Compton |
|---|---|---|
| Population | 457 | 91,988 |
| Median Age | 37.1 years | 33.4 years |
| Median Income | $77,601 | $69,728 |
| Married Families | 59.0% | 31.0% |
| Poverty Level | 5% | 21% |
| Unemployment Rate | 2.3 | 7.6 |
Population Comparison: Jefferson vs Compton
- The population in Compton is higher at 91,988, compared to 457 in Jefferson.
- Residents in Jefferson have a higher median age of 37.1 years compared to 33.4 years in Compton.
- Jefferson has a higher median income of $77,601 compared to $69,728 in Compton.
- A higher percentage of married families is found in Jefferson at 59.0% compared to 31.0% in Compton.
- The poverty level is higher in Compton at 21%, compared to 5% in Jefferson.
- Compton has a higher unemployment rate at 7.6% compared to 2.3% in Jefferson.
Demographics
Demographics Jefferson vs Compton provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Compton |
|---|---|---|
| Black | Data is updating | 26 |
| White | 85 | -21 |
| Asian | Data is updating | 1 |
| Hispanic | 6 | 73 |
| Two or More Races | 4 | 21 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Jefferson vs Compton
- In Compton, the percentage of Black residents is higher at 26% compared to 0% in Jefferson.
- Jefferson has a higher percentage of White residents at 85% compared to -21% in Compton.
- In Compton, the Asian population stands at 1%, greater than 0% in Jefferson.
- Compton has a higher percentage of Hispanic residents at 73%, compared to 6% in Jefferson.
- The percentage of residents identifying as two or more races is higher in Compton at 21%, compared to 4% in Jefferson.
- A greater percentage of American Indian residents live in Jefferson at 5% compared to 0% in Compton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Compton |
|---|---|---|
| Mental Health Not Good | 12.5% | 18.4% |
| Physical Health Not Good | 8.2% | 15.7% |
| Depression | 16.7% | 16.3% |
| Smoking | 14.5% | 15.9% |
| Binge Drinking | 20.4% | 13.4% |
| Obesity | 38.6% | 37.8% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Jefferson vs Compton
- In Compton, a higher percentage report poor mental health at 18.4% compared to 12.5% in Jefferson.
- Depression is more prevalent in Jefferson at 16.7% compared to 16.3% in Compton.
- Compton has a higher smoking rate at 15.9% compared to 14.5% in Jefferson.
- Binge drinking is more common in Jefferson at 20.4% compared to 13.4% in Compton.
- Obesity rates are higher in Jefferson at 38.6% compared to 37.8% in Compton.
- Disability percentages are higher in Jefferson at 14.0% compared to 11.0% in Compton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Compton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 5.1% (4,703) |
| High School Diploma | 22.3% (102) | 16.7% (15,373) |
| Less than High School | 7.9% (36) | 44.3% (40,709) |
| Bachelor's Degree and Higher | 23.0% (105) | 6.7% (6,166) |
Education Levels Comparison: Jefferson vs Compton
- In Compton, a larger percentage of residents lack formal schooling at 5.1% compared to 0.0% in Jefferson.
- A higher percentage of residents in Jefferson hold a high school diploma at 22.3% compared to 16.7% in Compton.
- The percentage of residents with less than a high school education is higher in Compton at 44.3%, compared to 7.9% in Jefferson.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 23.0% compared to 6.7% in Compton.
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.