Demographics details for Winnsboro, SC vs Greenbelt, MD
Population Overview
Compare main population characteristics in Winnsboro, SC vs Greenbelt, MD.
Data | Winnsboro | Greenbelt |
---|---|---|
Population | 3,162 | 24,360 |
Median Age | 34.2 years | 37.2 years |
Median Income | $31,194 | $82,019 |
Married Families | 23.0% | 30.0% |
Poverty Level | 20% | 9% |
Unemployment Rate | 3.5 | 6.5 |
Population Comparison: Winnsboro vs Greenbelt
- The population in Greenbelt is higher at 24,360, compared to 3,162 in Winnsboro.
- The median age in Greenbelt is higher at 37.2 years, compared to 34.2 years in Winnsboro.
- Greenbelt has a higher median income of $82,019, compared to $31,194 in Winnsboro.
- In Greenbelt, the percentage of married families is higher at 30.0%, compared to 23.0% in Winnsboro.
- Winnsboro has a higher poverty level at 20% compared to 9% in Greenbelt.
- Greenbelt has a higher unemployment rate at 6.5% compared to 3.5% in Winnsboro.
Demographics
Demographics Winnsboro vs Greenbelt provide insight into the diversity of the communities to compare.
Demographic | Winnsboro | Greenbelt |
---|---|---|
Black | 70 | 48 |
White | 29 | 17 |
Asian | Data is updating | 12 |
Hispanic | 1 | 16 |
Two or More Races | Data is updating | 6 |
American Indian | Data is updating | 1 |
Demographics Comparison: Winnsboro vs Greenbelt
- A higher percentage of Black residents are in Winnsboro at 70% compared to 48% in Greenbelt.
- Winnsboro has a higher percentage of White residents at 29% compared to 17% in Greenbelt.
- In Greenbelt, the Asian population stands at 12%, greater than 0% in Winnsboro.
- Greenbelt has a higher percentage of Hispanic residents at 16%, compared to 1% in Winnsboro.
- The percentage of residents identifying as two or more races is higher in Greenbelt at 6%, compared to 0% in Winnsboro.
- In Greenbelt, the percentage of American Indian residents is higher at 1%, compared to 0% in Winnsboro.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Winnsboro | Greenbelt |
---|---|---|
Mental Health Not Good | 21.5% | 12.9% |
Physical Health Not Good | 16.5% | 8.1% |
Depression | 21.5% | 13.0% |
Smoking | 26.6% | 9.8% |
Binge Drinking | 13.4% | 12.3% |
Obesity | 46.7% | 36.0% |
Disability Percentage | 20.0% | 10.0% |
Health Statistics Comparison: Winnsboro vs Greenbelt
- More residents in Winnsboro report poor mental health at 21.5% compared to 12.9% in Greenbelt.
- Depression is more prevalent in Winnsboro at 21.5% compared to 13.0% in Greenbelt.
- Smoking is more prevalent in Winnsboro at 26.6% compared to 9.8% in Greenbelt.
- Binge drinking is more common in Winnsboro at 13.4% compared to 12.3% in Greenbelt.
- Obesity rates are higher in Winnsboro at 46.7% compared to 36.0% in Greenbelt.
- Disability percentages are higher in Winnsboro at 20.0% compared to 10.0% in Greenbelt.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Winnsboro | Greenbelt |
---|---|---|
No Schooling | 0.4% (12) | 2.2% (530) |
High School Diploma | 26.6% (840) | 9.0% (2,195) |
Less than High School | 12.2% (385) | 11.4% (2,766) |
Bachelor's Degree and Higher | 9.8% (311) | 32.2% (7,832) |
Education Levels Comparison: Winnsboro vs Greenbelt
- In Greenbelt, a larger percentage of residents lack formal schooling at 2.2% compared to 0.4% in Winnsboro.
- A higher percentage of residents in Winnsboro hold a high school diploma at 26.6% compared to 9.0% in Greenbelt.
- More residents in Winnsboro have less than a high school education at 12.2% compared to 11.4% in Greenbelt.
- In Greenbelt, a larger share of residents have a bachelor's degree or higher at 32.2% compared to 9.8% in Winnsboro.
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.