Demographics details for Waycross, GA vs Williamsburg, KY
Population Overview
Compare main population characteristics in Waycross, GA vs Williamsburg, KY.
| Data | Waycross | Williamsburg |
|---|---|---|
| Population | 13,741 | 5,163 |
| Median Age | 34.7 years | 27.3 years |
| Median Income | $36,818 | $33,875 |
| Married Families | 20.0% | 29.0% |
| Poverty Level | 21% | 19% |
| Unemployment Rate | 6.5 | 4.5 |
Population Comparison: Waycross vs Williamsburg
- In Waycross, the population is higher at 13,741, compared to 5,163 in Williamsburg.
- Residents in Waycross have a higher median age of 34.7 years compared to 27.3 years in Williamsburg.
- Waycross has a higher median income of $36,818 compared to $33,875 in Williamsburg.
- In Williamsburg, the percentage of married families is higher at 29.0%, compared to 20.0% in Waycross.
- Waycross has a higher poverty level at 21% compared to 19% in Williamsburg.
- The unemployment rate in Waycross is higher at 6.5%, compared to 4.5% in Williamsburg.
Demographics
Demographics Waycross vs Williamsburg provide insight into the diversity of the communities to compare.
| Demographic | Waycross | Williamsburg |
|---|---|---|
| Black | 56 | 4 |
| White | 32 | 90 |
| Asian | Data is updating | 1 |
| Hispanic | 6 | 3 |
| Two or More Races | 6 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waycross vs Williamsburg
- A higher percentage of Black residents are in Waycross at 56% compared to 4% in Williamsburg.
- The percentage of White residents is higher in Williamsburg at 90% compared to 32% in Waycross.
- In Williamsburg, the Asian population stands at 1%, greater than 0% in Waycross.
- The Hispanic community is larger in Waycross at 6% compared to 3% in Williamsburg.
- More residents identify as two or more races in Waycross at 6% compared to 2% in Williamsburg.
- The percentage of American Indian residents is the same in both Waycross and Williamsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waycross | Williamsburg |
|---|---|---|
| Mental Health Not Good | 19.4% | 21.8% |
| Physical Health Not Good | 15.7% | 16.6% |
| Depression | 21.6% | 32.0% |
| Smoking | 23.2% | 26.4% |
| Binge Drinking | 12.9% | 14.1% |
| Obesity | 45.7% | 42.9% |
| Disability Percentage | 12.0% | 24.0% |
Health Statistics Comparison: Waycross vs Williamsburg
- In Williamsburg, a higher percentage report poor mental health at 21.8% compared to 19.4% in Waycross.
- Higher depression rates are seen in Williamsburg at 32.0% versus 21.6% in Waycross.
- Williamsburg has a higher smoking rate at 26.4% compared to 23.2% in Waycross.
- More residents engage in binge drinking in Williamsburg at 14.1% compared to 12.9% in Waycross.
- Obesity rates are higher in Waycross at 45.7% compared to 42.9% in Williamsburg.
- There is a higher percentage of disabled individuals in Williamsburg at 24.0% compared to 12.0% in Waycross.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waycross | Williamsburg |
|---|---|---|
| No Schooling | 1.2% (166) | 0.2% (11) |
| High School Diploma | 19.8% (2,727) | 12.5% (647) |
| Less than High School | 15.5% (2,123) | 24.8% (1,280) |
| Bachelor's Degree and Higher | 11.4% (1,561) | 12.3% (633) |
Education Levels Comparison: Waycross vs Williamsburg
- A higher percentage of residents in Waycross have no formal schooling at 1.2% compared to 0.2% in Williamsburg.
- A higher percentage of residents in Waycross hold a high school diploma at 19.8% compared to 12.5% in Williamsburg.
- The percentage of residents with less than a high school education is higher in Williamsburg at 24.8%, compared to 15.5% in Waycross.
- In Williamsburg, a larger share of residents have a bachelor's degree or higher at 12.3% compared to 11.4% in Waycross.
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.