Demographics details for Painter, VA vs Canton, GA
Population Overview
Compare main population characteristics in Painter, VA vs Canton, GA.
| Data | Painter | Canton |
|---|---|---|
| Population | 269 | 35,809 |
| Median Age | 34.7 years | 34.6 years |
| Median Income | $61,250 | $75,414 |
| Married Families | 29.0% | 39.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Painter vs Canton
- The population in Canton is higher at 35,809, compared to 269 in Painter.
- Residents in Painter have a higher median age of 34.7 years compared to 34.6 years in Canton.
- Canton has a higher median income of $75,414, compared to $61,250 in Painter.
- In Canton, the percentage of married families is higher at 39.0%, compared to 29.0% in Painter.
- Painter has a higher poverty level at 10% compared to 9% in Canton.
- The unemployment rate in Painter is higher at 3.5%, compared to 3.2% in Canton.
Demographics
Demographics Painter vs Canton provide insight into the diversity of the communities to compare.
| Demographic | Painter | Canton |
|---|---|---|
| Black | 14 | 12 |
| White | 51 | 55 |
| Asian | Data is updating | 1 |
| Hispanic | 19 | 21 |
| Two or More Races | 16 | 8 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Painter vs Canton
- A higher percentage of Black residents are in Painter at 14% compared to 12% in Canton.
- The percentage of White residents is higher in Canton at 55% compared to 51% in Painter.
- In Canton, the Asian population stands at 1%, greater than 0% in Painter.
- Canton has a higher percentage of Hispanic residents at 21%, compared to 19% in Painter.
- More residents identify as two or more races in Painter at 16% compared to 8% in Canton.
- In Canton, the percentage of American Indian residents is higher at 3%, compared to 0% in Painter.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Painter | Canton |
|---|---|---|
| Mental Health Not Good | 19.0% | 15.8% |
| Physical Health Not Good | 14.7% | 11.9% |
| Depression | 23.5% | 21.8% |
| Smoking | 22.2% | 16.0% |
| Binge Drinking | 14.5% | 15.8% |
| Obesity | 42.4% | 33.4% |
| Disability Percentage | 8.0% | 10.0% |
Health Statistics Comparison: Painter vs Canton
- More residents in Painter report poor mental health at 19.0% compared to 15.8% in Canton.
- Depression is more prevalent in Painter at 23.5% compared to 21.8% in Canton.
- Smoking is more prevalent in Painter at 22.2% compared to 16.0% in Canton.
- More residents engage in binge drinking in Canton at 15.8% compared to 14.5% in Painter.
- Obesity rates are higher in Painter at 42.4% compared to 33.4% in Canton.
- There is a higher percentage of disabled individuals in Canton at 10.0% compared to 8.0% in Painter.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Painter | Canton |
|---|---|---|
| No Schooling | 0.7% (2) | 3.5% (1,250) |
| High School Diploma | 13.8% (37) | 10.1% (3,609) |
| Less than High School | 24.9% (67) | 18.0% (6,437) |
| Bachelor's Degree and Higher | 8.9% (24) | 19.7% (7,056) |
Education Levels Comparison: Painter vs Canton
- In Canton, a larger percentage of residents lack formal schooling at 3.5% compared to 0.7% in Painter.
- A higher percentage of residents in Painter hold a high school diploma at 13.8% compared to 10.1% in Canton.
- More residents in Painter have less than a high school education at 24.9% compared to 18.0% in Canton.
- In Canton, a larger share of residents have a bachelor's degree or higher at 19.7% compared to 8.9% in Painter.
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.