Demographics details for Saint marys, WV vs Waycross, GA
Population Overview
Compare main population characteristics in Saint marys, WV vs Waycross, GA.
Data | Saint marys | Waycross |
---|---|---|
Population | 1,808 | 13,741 |
Median Age | 40.5 years | 34.7 years |
Median Income | $53,125 | $36,818 |
Married Families | 52.0% | 20.0% |
Poverty Level | 11% | 21% |
Unemployment Rate | 4.3 | 6.5 |
Population Comparison: Saint marys vs Waycross
- The population in Waycross is higher at 13,741, compared to 1,808 in Saint marys.
- Residents in Saint marys have a higher median age of 40.5 years compared to 34.7 years in Waycross.
- Saint marys has a higher median income of $53,125 compared to $36,818 in Waycross.
- A higher percentage of married families is found in Saint marys at 52.0% compared to 20.0% in Waycross.
- The poverty level is higher in Waycross at 21%, compared to 11% in Saint marys.
- Waycross has a higher unemployment rate at 6.5% compared to 4.3% in Saint marys.
Demographics
Demographics Saint marys vs Waycross provide insight into the diversity of the communities to compare.
Demographic | Saint marys | Waycross |
---|---|---|
Black | Data is updating | 56 |
White | 91 | 32 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 6 |
Two or More Races | 5 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Saint marys vs Waycross
- In Waycross, the percentage of Black residents is higher at 56% compared to 0% in Saint marys.
- Saint marys has a higher percentage of White residents at 91% compared to 32% in Waycross.
- Both Saint marys and Waycross have the same percentage of Asian residents at 0%.
- Waycross has a higher percentage of Hispanic residents at 6%, compared to 4% in Saint marys.
- The percentage of residents identifying as two or more races is higher in Waycross at 6%, compared to 5% in Saint marys.
- The percentage of American Indian residents is the same in both Saint marys and Waycross at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Saint marys | Waycross |
---|---|---|
Mental Health Not Good | 20.2% | 19.4% |
Physical Health Not Good | 14.0% | 15.7% |
Depression | 28.5% | 21.6% |
Smoking | 22.0% | 23.2% |
Binge Drinking | 14.5% | 12.9% |
Obesity | 44.3% | 45.7% |
Disability Percentage | 21.0% | 12.0% |
Health Statistics Comparison: Saint marys vs Waycross
- More residents in Saint marys report poor mental health at 20.2% compared to 19.4% in Waycross.
- Depression is more prevalent in Saint marys at 28.5% compared to 21.6% in Waycross.
- Waycross has a higher smoking rate at 23.2% compared to 22.0% in Saint marys.
- Binge drinking is more common in Saint marys at 14.5% compared to 12.9% in Waycross.
- Waycross has higher obesity rates at 45.7% compared to 44.3% in Saint marys.
- Disability percentages are higher in Saint marys at 21.0% 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 | Saint marys | Waycross |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.2% (166) |
High School Diploma | 34.4% (622) | 19.8% (2,727) |
Less than High School | 15.7% (284) | 15.5% (2,123) |
Bachelor's Degree and Higher | 15.0% (272) | 11.4% (1,561) |
Education Levels Comparison: Saint marys vs Waycross
- In Waycross, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Saint marys.
- A higher percentage of residents in Saint marys hold a high school diploma at 34.4% compared to 19.8% in Waycross.
- More residents in Saint marys have less than a high school education at 15.7% compared to 15.5% in Waycross.
- A higher percentage of residents in Saint marys hold a bachelor's degree or higher at 15.0% 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.