Demographics details for Lancaster, SC vs Winder, GA
Population Overview
Compare main population characteristics in Lancaster, SC vs Winder, GA.
| Data | Lancaster | Winder |
|---|---|---|
| Population | 104,577 | 19,400 |
| Median Age | 42.2 years | 36.4 years |
| Median Income | $72,186 | $57,365 |
| Married Families | 42.0% | 34.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 4.7 | 3.5 |
Population Comparison: Lancaster vs Winder
- In Lancaster, the population is higher at 104,577, compared to 19,400 in Winder.
- Residents in Lancaster have a higher median age of 42.2 years compared to 36.4 years in Winder.
- Lancaster has a higher median income of $72,186 compared to $57,365 in Winder.
- A higher percentage of married families is found in Lancaster at 42.0% compared to 34.0% in Winder.
- The poverty level is higher in Winder at 13%, compared to 10% in Lancaster.
- The unemployment rate in Lancaster is higher at 4.7%, compared to 3.5% in Winder.
Demographics
Demographics Lancaster vs Winder provide insight into the diversity of the communities to compare.
| Demographic | Lancaster | Winder |
|---|---|---|
| Black | 18 | 20 |
| White | 70 | 53 |
| Asian | 2 | 2 |
| Hispanic | 6 | 15 |
| Two or More Races | 4 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lancaster vs Winder
- In Winder, the percentage of Black residents is higher at 20% compared to 18% in Lancaster.
- Lancaster has a higher percentage of White residents at 70% compared to 53% in Winder.
- Both Lancaster and Winder have the same percentage of Asian residents at 2%.
- Winder has a higher percentage of Hispanic residents at 15%, compared to 6% in Lancaster.
- The percentage of residents identifying as two or more races is higher in Winder at 10%, compared to 4% in Lancaster.
- The percentage of American Indian residents is the same in both Lancaster and Winder at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lancaster | Winder |
|---|---|---|
| Mental Health Not Good | 16.6% | 17.9% |
| Physical Health Not Good | 11.0% | 12.9% |
| Depression | 22.0% | 22.6% |
| Smoking | 16.9% | 19.8% |
| Binge Drinking | 17.3% | 15.5% |
| Obesity | 32.9% | 40.9% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Lancaster vs Winder
- In Winder, a higher percentage report poor mental health at 17.9% compared to 16.6% in Lancaster.
- Higher depression rates are seen in Winder at 22.6% versus 22.0% in Lancaster.
- Winder has a higher smoking rate at 19.8% compared to 16.9% in Lancaster.
- Binge drinking is more common in Lancaster at 17.3% compared to 15.5% in Winder.
- Winder has higher obesity rates at 40.9% compared to 32.9% in Lancaster.
- There is a higher percentage of disabled individuals in Winder at 14.0% compared to 12.0% in Lancaster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lancaster | Winder |
|---|---|---|
| No Schooling | 0.7% (689) | 1.2% (240) |
| High School Diploma | 16.0% (16,691) | 15.8% (3,070) |
| Less than High School | 12.5% (13,112) | 14.0% (2,718) |
| Bachelor's Degree and Higher | 20.2% (21,156) | 13.0% (2,516) |
Education Levels Comparison: Lancaster vs Winder
- In Winder, a larger percentage of residents lack formal schooling at 1.2% compared to 0.7% in Lancaster.
- A higher percentage of residents in Lancaster hold a high school diploma at 16.0% compared to 15.8% in Winder.
- The percentage of residents with less than a high school education is higher in Winder at 14.0%, compared to 12.5% in Lancaster.
- A higher percentage of residents in Lancaster hold a bachelor's degree or higher at 20.2% compared to 13.0% in Winder.
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.