Demographics details for Suffolk, VA vs Fort mill, SC
Population Overview
Compare main population characteristics in Suffolk, VA vs Fort mill, SC.
| Data | Suffolk | Fort mill |
|---|---|---|
| Population | 98,537 | 30,940 |
| Median Age | 38.5 years | 36.7 years |
| Median Income | $87,758 | $128,125 |
| Married Families | 40.0% | 37.0% |
| Poverty Level | 7% | 5% |
| Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Suffolk vs Fort mill
- In Suffolk, the population is higher at 98,537, compared to 30,940 in Fort mill.
- Residents in Suffolk have a higher median age of 38.5 years compared to 36.7 years in Fort mill.
- Fort mill has a higher median income of $128,125, compared to $87,758 in Suffolk.
- A higher percentage of married families is found in Suffolk at 40.0% compared to 37.0% in Fort mill.
- Suffolk has a higher poverty level at 7% compared to 5% in Fort mill.
- Fort mill has a higher unemployment rate at 4.1% compared to 3.2% in Suffolk.
Demographics
Demographics Suffolk vs Fort mill provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Fort mill |
|---|---|---|
| Black | 40 | 9 |
| White | 47 | 79 |
| Asian | 2 | 3 |
| Hispanic | 5 | 5 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Suffolk vs Fort mill
- A higher percentage of Black residents are in Suffolk at 40% compared to 9% in Fort mill.
- The percentage of White residents is higher in Fort mill at 79% compared to 47% in Suffolk.
- In Fort mill, the Asian population stands at 3%, greater than 2% in Suffolk.
- The percentage of Hispanic residents is the same in both Suffolk and Fort mill at 5%.
- More residents identify as two or more races in Suffolk at 6% compared to 4% in Fort mill.
- The percentage of American Indian residents is the same in both Suffolk and Fort mill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Fort mill |
|---|---|---|
| Mental Health Not Good | 16.6% | 15.4% |
| Physical Health Not Good | 10.6% | 9.4% |
| Depression | 21.4% | 21.1% |
| Smoking | 15.3% | 12.3% |
| Binge Drinking | 16.6% | 18.3% |
| Obesity | 42.4% | 31.6% |
| Disability Percentage | 11.0% | 5.0% |
Health Statistics Comparison: Suffolk vs Fort mill
- More residents in Suffolk report poor mental health at 16.6% compared to 15.4% in Fort mill.
- Depression is more prevalent in Suffolk at 21.4% compared to 21.1% in Fort mill.
- Smoking is more prevalent in Suffolk at 15.3% compared to 12.3% in Fort mill.
- More residents engage in binge drinking in Fort mill at 18.3% compared to 16.6% in Suffolk.
- Obesity rates are higher in Suffolk at 42.4% compared to 31.6% in Fort mill.
- Disability percentages are higher in Suffolk at 11.0% compared to 5.0% in Fort mill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Suffolk | Fort mill |
|---|---|---|
| No Schooling | 1.0% (965) | 0.3% (78) |
| High School Diploma | 14.9% (14,643) | 7.7% (2,372) |
| Less than High School | 7.8% (7,701) | 2.8% (879) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 30.0% (9,271) |
Education Levels Comparison: Suffolk vs Fort mill
- A higher percentage of residents in Suffolk have no formal schooling at 1.0% compared to 0.3% in Fort mill.
- A higher percentage of residents in Suffolk hold a high school diploma at 14.9% compared to 7.7% in Fort mill.
- More residents in Suffolk have less than a high school education at 7.8% compared to 2.8% in Fort mill.
- In Fort mill, a larger share of residents have a bachelor's degree or higher at 30.0% compared to 21.0% in Suffolk.
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.