Demographics details for Post falls, ID vs Canton, GA
Population Overview
Compare main population characteristics in Post falls, ID vs Canton, GA.
| Data | Post falls | Canton |
|---|---|---|
| Population | 44,194 | 35,809 |
| Median Age | 34.5 years | 34.6 years |
| Median Income | $71,042 | $75,414 |
| Married Families | 35.0% | 39.0% |
| Poverty Level | 8% | 9% |
| Unemployment Rate | 3.7 | 3.2 |
Population Comparison: Post falls vs Canton
- In Post falls, the population is higher at 44,194, compared to 35,809 in Canton.
- The median age in Canton is higher at 34.6 years, compared to 34.5 years in Post falls.
- Canton has a higher median income of $75,414, compared to $71,042 in Post falls.
- In Canton, the percentage of married families is higher at 39.0%, compared to 35.0% in Post falls.
- The poverty level is higher in Canton at 9%, compared to 8% in Post falls.
- The unemployment rate in Post falls is higher at 3.7%, compared to 3.2% in Canton.
Demographics
Demographics Post falls vs Canton provide insight into the diversity of the communities to compare.
| Demographic | Post falls | Canton |
|---|---|---|
| Black | Data is updating | 12 |
| White | 87 | 55 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 21 |
| Two or More Races | 7 | 8 |
| American Indian | 1 | 3 |
Demographics Comparison: Post falls vs Canton
- In Canton, the percentage of Black residents is higher at 12% compared to 0% in Post falls.
- Post falls has a higher percentage of White residents at 87% compared to 55% in Canton.
- In Canton, the Asian population stands at 1%, greater than 0% in Post falls.
- Canton has a higher percentage of Hispanic residents at 21%, compared to 5% in Post falls.
- The percentage of residents identifying as two or more races is higher in Canton at 8%, compared to 7% in Post falls.
- In Canton, the percentage of American Indian residents is higher at 3%, compared to 1% in Post falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Post falls | Canton |
|---|---|---|
| Mental Health Not Good | 16.9% | 15.8% |
| Physical Health Not Good | 12.3% | 11.9% |
| Depression | 22.9% | 21.8% |
| Smoking | 18.6% | 16.0% |
| Binge Drinking | 17.6% | 15.8% |
| Obesity | 29.8% | 33.4% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Post falls vs Canton
- More residents in Post falls report poor mental health at 16.9% compared to 15.8% in Canton.
- Depression is more prevalent in Post falls at 22.9% compared to 21.8% in Canton.
- Smoking is more prevalent in Post falls at 18.6% compared to 16.0% in Canton.
- Binge drinking is more common in Post falls at 17.6% compared to 15.8% in Canton.
- Canton has higher obesity rates at 33.4% compared to 29.8% in Post falls.
- Disability percentages are higher in Post falls at 12.0% compared to 10.0% in Canton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Post falls | Canton |
|---|---|---|
| No Schooling | 0.3% (121) | 3.5% (1,250) |
| High School Diploma | 14.1% (6,217) | 10.1% (3,609) |
| Less than High School | 7.7% (3,421) | 18.0% (6,437) |
| Bachelor's Degree and Higher | 13.1% (5,799) | 19.7% (7,056) |
Education Levels Comparison: Post falls vs Canton
- In Canton, a larger percentage of residents lack formal schooling at 3.5% compared to 0.3% in Post falls.
- A higher percentage of residents in Post falls hold a high school diploma at 14.1% compared to 10.1% in Canton.
- The percentage of residents with less than a high school education is higher in Canton at 18.0%, compared to 7.7% in Post falls.
- In Canton, a larger share of residents have a bachelor's degree or higher at 19.7% compared to 13.1% in Post falls.
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.