Demographics details for Suffolk, VA vs Edgefield, SC
Population Overview
Compare main population characteristics in Suffolk, VA vs Edgefield, SC.
| Data | Suffolk | Edgefield |
|---|---|---|
| Population | 98,537 | 26,932 |
| Median Age | 38.5 years | 42.9 years |
| Median Income | $87,758 | $60,033 |
| Married Families | 40.0% | 38.0% |
| Poverty Level | 7% | 13% |
| Unemployment Rate | 3.2 | 4.9 |
Population Comparison: Suffolk vs Edgefield
- In Suffolk, the population is higher at 98,537, compared to 26,932 in Edgefield.
- The median age in Edgefield is higher at 42.9 years, compared to 38.5 years in Suffolk.
- Suffolk has a higher median income of $87,758 compared to $60,033 in Edgefield.
- A higher percentage of married families is found in Suffolk at 40.0% compared to 38.0% in Edgefield.
- The poverty level is higher in Edgefield at 13%, compared to 7% in Suffolk.
- Edgefield has a higher unemployment rate at 4.9% compared to 3.2% in Suffolk.
Demographics
Demographics Suffolk vs Edgefield provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Edgefield |
|---|---|---|
| Black | 40 | 32 |
| White | 47 | 56 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 7 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Suffolk vs Edgefield
- A higher percentage of Black residents are in Suffolk at 40% compared to 32% in Edgefield.
- The percentage of White residents is higher in Edgefield at 56% compared to 47% in Suffolk.
- The Asian population is larger in Suffolk at 2% compared to 0% in Edgefield.
- Edgefield has a higher percentage of Hispanic residents at 7%, compared to 5% in Suffolk.
- More residents identify as two or more races in Suffolk at 6% compared to 5% in Edgefield.
- The percentage of American Indian residents is the same in both Suffolk and Edgefield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Edgefield |
|---|---|---|
| Mental Health Not Good | 16.6% | 18.1% |
| Physical Health Not Good | 10.6% | 13.1% |
| Depression | 21.4% | 20.3% |
| Smoking | 15.3% | 20.3% |
| Binge Drinking | 16.6% | 16.5% |
| Obesity | 42.4% | 36.7% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Suffolk vs Edgefield
- In Edgefield, a higher percentage report poor mental health at 18.1% compared to 16.6% in Suffolk.
- Depression is more prevalent in Suffolk at 21.4% compared to 20.3% in Edgefield.
- Edgefield has a higher smoking rate at 20.3% compared to 15.3% in Suffolk.
- Binge drinking is more common in Suffolk at 16.6% compared to 16.5% in Edgefield.
- Obesity rates are higher in Suffolk at 42.4% compared to 36.7% in Edgefield.
- There is a higher percentage of disabled individuals in Edgefield at 14.0% compared to 11.0% in Suffolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Suffolk | Edgefield |
|---|---|---|
| No Schooling | 1.0% (965) | 0.7% (199) |
| High School Diploma | 14.9% (14,643) | 19.2% (5,180) |
| Less than High School | 7.8% (7,701) | 18.3% (4,938) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 14.1% (3,798) |
Education Levels Comparison: Suffolk vs Edgefield
- A higher percentage of residents in Suffolk have no formal schooling at 1.0% compared to 0.7% in Edgefield.
- In Edgefield, the rate of residents with high school diplomas is higher at 19.2% compared to 14.9% in Suffolk.
- The percentage of residents with less than a high school education is higher in Edgefield at 18.3%, compared to 7.8% in Suffolk.
- A higher percentage of residents in Suffolk hold a bachelor's degree or higher at 21.0% 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.