Demographics details for Edgefield, SC vs Jefferson, SD
Population Overview
Compare main population characteristics in Edgefield, SC vs Jefferson, SD.
| Data | Edgefield | Jefferson |
|---|---|---|
| Population | 26,932 | 457 |
| Median Age | 42.9 years | 37.1 years |
| Median Income | $60,033 | $77,601 |
| Married Families | 38.0% | 59.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 4.9 | 2.3 |
Population Comparison: Edgefield vs Jefferson
- In Edgefield, the population is higher at 26,932, compared to 457 in Jefferson.
- Residents in Edgefield have a higher median age of 42.9 years compared to 37.1 years in Jefferson.
- Jefferson has a higher median income of $77,601, compared to $60,033 in Edgefield.
- In Jefferson, the percentage of married families is higher at 59.0%, compared to 38.0% in Edgefield.
- Edgefield has a higher poverty level at 13% compared to 5% in Jefferson.
- The unemployment rate in Edgefield is higher at 4.9%, compared to 2.3% in Jefferson.
Demographics
Demographics Edgefield vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Edgefield | Jefferson |
|---|---|---|
| Black | 32 | Data is updating |
| White | 56 | 85 |
| Asian | Data is updating | Data is updating |
| Hispanic | 7 | 6 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Edgefield vs Jefferson
- A higher percentage of Black residents are in Edgefield at 32% compared to 0% in Jefferson.
- The percentage of White residents is higher in Jefferson at 85% compared to 56% in Edgefield.
- Both Edgefield and Jefferson have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Edgefield at 7% compared to 6% in Jefferson.
- More residents identify as two or more races in Edgefield at 5% compared to 4% in Jefferson.
- In Jefferson, the percentage of American Indian residents is higher at 5%, compared to 0% in Edgefield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Edgefield | Jefferson |
|---|---|---|
| Mental Health Not Good | 18.1% | 12.5% |
| Physical Health Not Good | 13.1% | 8.2% |
| Depression | 20.3% | 16.7% |
| Smoking | 20.3% | 14.5% |
| Binge Drinking | 16.5% | 20.4% |
| Obesity | 36.7% | 38.6% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Edgefield vs Jefferson
- More residents in Edgefield report poor mental health at 18.1% compared to 12.5% in Jefferson.
- Depression is more prevalent in Edgefield at 20.3% compared to 16.7% in Jefferson.
- Smoking is more prevalent in Edgefield at 20.3% compared to 14.5% in Jefferson.
- More residents engage in binge drinking in Jefferson at 20.4% compared to 16.5% in Edgefield.
- Jefferson has higher obesity rates at 38.6% compared to 36.7% in Edgefield.
- Disability percentages are the same in both Edgefield and Jefferson at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Edgefield | Jefferson |
|---|---|---|
| No Schooling | 0.7% (199) | 0.0% (Data is updating) |
| High School Diploma | 19.2% (5,180) | 22.3% (102) |
| Less than High School | 18.3% (4,938) | 7.9% (36) |
| Bachelor's Degree and Higher | 14.1% (3,798) | 23.0% (105) |
Education Levels Comparison: Edgefield vs Jefferson
- A higher percentage of residents in Edgefield have no formal schooling at 0.7% compared to 0.0% in Jefferson.
- In Jefferson, the rate of residents with high school diplomas is higher at 22.3% compared to 19.2% in Edgefield.
- More residents in Edgefield have less than a high school education at 18.3% compared to 7.9% in Jefferson.
- In Jefferson, a larger share of residents have a bachelor's degree or higher at 23.0% compared to 14.1% in Edgefield.
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.