Demographics details for Jefferson, OR vs Sumter, SC
Population Overview
Compare main population characteristics in Jefferson, OR vs Sumter, SC.
| Data | Jefferson | Sumter |
|---|---|---|
| Population | 3,304 | 42,757 |
| Median Age | 31.7 years | 33.1 years |
| Median Income | $87,604 | $48,900 |
| Married Families | 39.0% | 34.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 3.5 | 6.0 |
Population Comparison: Jefferson vs Sumter
- The population in Sumter is higher at 42,757, compared to 3,304 in Jefferson.
- The median age in Sumter is higher at 33.1 years, compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604 compared to $48,900 in Sumter.
- A higher percentage of married families is found in Jefferson at 39.0% compared to 34.0% in Sumter.
- The poverty level is higher in Sumter at 15%, compared to 10% in Jefferson.
- Sumter has a higher unemployment rate at 6.0% compared to 3.5% in Jefferson.
Demographics
Demographics Jefferson vs Sumter provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Sumter |
|---|---|---|
| Black | 2 | 48 |
| White | 67 | 36 |
| Asian | Data is updating | 2 |
| Hispanic | 20 | 7 |
| Two or More Races | 10 | 6 |
| American Indian | 1 | 1 |
Demographics Comparison: Jefferson vs Sumter
- In Sumter, the percentage of Black residents is higher at 48% compared to 2% in Jefferson.
- Jefferson has a higher percentage of White residents at 67% compared to 36% in Sumter.
- In Sumter, the Asian population stands at 2%, greater than 0% in Jefferson.
- The Hispanic community is larger in Jefferson at 20% compared to 7% in Sumter.
- More residents identify as two or more races in Jefferson at 10% compared to 6% in Sumter.
- The percentage of American Indian residents is the same in both Jefferson and Sumter at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Sumter |
|---|---|---|
| Mental Health Not Good | 18.4% | 18.7% |
| Physical Health Not Good | 12.0% | 13.7% |
| Depression | 28.9% | 20.9% |
| Smoking | 16.5% | 21.7% |
| Binge Drinking | 16.4% | 15.2% |
| Obesity | 36.5% | 42.5% |
| Disability Percentage | 13.0% | 15.0% |
Health Statistics Comparison: Jefferson vs Sumter
- In Sumter, a higher percentage report poor mental health at 18.7% compared to 18.4% in Jefferson.
- Depression is more prevalent in Jefferson at 28.9% compared to 20.9% in Sumter.
- Sumter has a higher smoking rate at 21.7% compared to 16.5% in Jefferson.
- Binge drinking is more common in Jefferson at 16.4% compared to 15.2% in Sumter.
- Sumter has higher obesity rates at 42.5% compared to 36.5% in Jefferson.
- There is a higher percentage of disabled individuals in Sumter at 15.0% compared to 13.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Sumter |
|---|---|---|
| No Schooling | 2.4% (78) | 0.6% (246) |
| High School Diploma | 13.0% (430) | 15.8% (6,741) |
| Less than High School | 13.9% (458) | 9.2% (3,936) |
| Bachelor's Degree and Higher | 11.0% (363) | 17.5% (7,485) |
Education Levels Comparison: Jefferson vs Sumter
- A higher percentage of residents in Jefferson have no formal schooling at 2.4% compared to 0.6% in Sumter.
- In Sumter, the rate of residents with high school diplomas is higher at 15.8% compared to 13.0% in Jefferson.
- More residents in Jefferson have less than a high school education at 13.9% compared to 9.2% in Sumter.
- In Sumter, a larger share of residents have a bachelor's degree or higher at 17.5% compared to 11.0% 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.