Demographics details for Blue springs, MO vs Canton, GA
Population Overview
Compare main population characteristics in Blue springs, MO vs Canton, GA.
| Data | Blue springs | Canton |
|---|---|---|
| Population | 59,518 | 35,809 |
| Median Age | 36.6 years | 34.6 years |
| Median Income | $82,965 | $75,414 |
| Married Families | 42.0% | 39.0% |
| Poverty Level | 9% | 9% |
| Unemployment Rate | 3.7 | 3.2 |
Population Comparison: Blue springs vs Canton
- In Blue springs, the population is higher at 59,518, compared to 35,809 in Canton.
- Residents in Blue springs have a higher median age of 36.6 years compared to 34.6 years in Canton.
- Blue springs has a higher median income of $82,965 compared to $75,414 in Canton.
- A higher percentage of married families is found in Blue springs at 42.0% compared to 39.0% in Canton.
- The poverty level is identical in both Blue springs and Canton at 9%.
- The unemployment rate in Blue springs is higher at 3.7%, compared to 3.2% in Canton.
Demographics
Demographics Blue springs vs Canton provide insight into the diversity of the communities to compare.
| Demographic | Blue springs | Canton |
|---|---|---|
| Black | 7 | 12 |
| White | 79 | 55 |
| Asian | 1 | 1 |
| Hispanic | 7 | 21 |
| Two or More Races | 6 | 8 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Blue springs vs Canton
- In Canton, the percentage of Black residents is higher at 12% compared to 7% in Blue springs.
- Blue springs has a higher percentage of White residents at 79% compared to 55% in Canton.
- Both Blue springs and Canton have the same percentage of Asian residents at 1%.
- Canton has a higher percentage of Hispanic residents at 21%, compared to 7% in Blue springs.
- The percentage of residents identifying as two or more races is higher in Canton at 8%, compared to 6% in Blue springs.
- In Canton, the percentage of American Indian residents is higher at 3%, compared to 0% in Blue springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Blue springs | Canton |
|---|---|---|
| Mental Health Not Good | 17.3% | 15.8% |
| Physical Health Not Good | 10.4% | 11.9% |
| Depression | 22.8% | 21.8% |
| Smoking | 15.6% | 16.0% |
| Binge Drinking | 21.5% | 15.8% |
| Obesity | 34.7% | 33.4% |
| Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Blue springs vs Canton
- More residents in Blue springs report poor mental health at 17.3% compared to 15.8% in Canton.
- Depression is more prevalent in Blue springs at 22.8% compared to 21.8% in Canton.
- Canton has a higher smoking rate at 16.0% compared to 15.6% in Blue springs.
- Binge drinking is more common in Blue springs at 21.5% compared to 15.8% in Canton.
- Obesity rates are higher in Blue springs at 34.7% compared to 33.4% in Canton.
- Disability percentages are the same in both Blue springs and Canton at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Blue springs | Canton |
|---|---|---|
| No Schooling | 0.3% (178) | 3.5% (1,250) |
| High School Diploma | 16.5% (9,835) | 10.1% (3,609) |
| Less than High School | 4.9% (2,932) | 18.0% (6,437) |
| Bachelor's Degree and Higher | 21.8% (12,992) | 19.7% (7,056) |
Education Levels Comparison: Blue springs vs Canton
- In Canton, a larger percentage of residents lack formal schooling at 3.5% compared to 0.3% in Blue springs.
- A higher percentage of residents in Blue springs hold a high school diploma at 16.5% 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 4.9% in Blue springs.
- A higher percentage of residents in Blue springs hold a bachelor's degree or higher at 21.8% compared to 19.7% in Canton.
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.