Demographics details for Bigfork, MN vs Canton, PA
Population Overview
Compare main population characteristics in Bigfork, MN vs Canton, PA.
Data | Bigfork | Canton |
---|---|---|
Population | 403 | 1,719 |
Median Age | 66.3 years | 34.2 years |
Median Income | $33,750 | $41,000 |
Married Families | 31.0% | 37.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Bigfork vs Canton
- The population in Canton is higher at 1,719, compared to 403 in Bigfork.
- Residents in Bigfork have a higher median age of 66.3 years compared to 34.2 years in Canton.
- Canton has a higher median income of $41,000, compared to $33,750 in Bigfork.
- In Canton, the percentage of married families is higher at 37.0%, compared to 31.0% in Bigfork.
- The poverty level is higher in Canton at 10%, compared to 9% in Bigfork.
- Canton has a higher unemployment rate at 4.5% compared to 3.5% in Bigfork.
Demographics
Demographics Bigfork vs Canton provide insight into the diversity of the communities to compare.
Demographic | Bigfork | Canton |
---|---|---|
Black | 1 | Data is updating |
White | 93 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | Data is updating |
Two or More Races | 1 | Data is updating |
American Indian | 3 | Data is updating |
Demographics Comparison: Bigfork vs Canton
- A higher percentage of Black residents are in Bigfork at 1% compared to 0% in Canton.
- The percentage of White residents is higher in Canton at 100% compared to 93% in Bigfork.
- Both Bigfork and Canton have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Bigfork at 2% compared to 0% in Canton.
- More residents identify as two or more races in Bigfork at 1% compared to 0% in Canton.
- A greater percentage of American Indian residents live in Bigfork at 3% compared to 0% in Canton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bigfork | Canton |
---|---|---|
Mental Health Not Good | 16.0% | 18.9% |
Physical Health Not Good | 10.4% | 13.2% |
Depression | 24.3% | 25.9% |
Smoking | 21.9% | 23.5% |
Binge Drinking | 18.4% | 17.4% |
Obesity | 41.6% | 42.4% |
Disability Percentage | 23.0% | 20.0% |
Health Statistics Comparison: Bigfork vs Canton
- In Canton, a higher percentage report poor mental health at 18.9% compared to 16.0% in Bigfork.
- Higher depression rates are seen in Canton at 25.9% versus 24.3% in Bigfork.
- Canton has a higher smoking rate at 23.5% compared to 21.9% in Bigfork.
- Binge drinking is more common in Bigfork at 18.4% compared to 17.4% in Canton.
- Canton has higher obesity rates at 42.4% compared to 41.6% in Bigfork.
- Disability percentages are higher in Bigfork at 23.0% compared to 20.0% in Canton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bigfork | Canton |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.5% (8) |
High School Diploma | 26.6% (107) | 27.9% (479) |
Less than High School | 9.7% (39) | 14.1% (243) |
Bachelor's Degree and Higher | 8.2% (33) | 13.4% (231) |
Education Levels Comparison: Bigfork vs Canton
- In Canton, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Bigfork.
- In Canton, the rate of residents with high school diplomas is higher at 27.9% compared to 26.6% in Bigfork.
- The percentage of residents with less than a high school education is higher in Canton at 14.1%, compared to 9.7% in Bigfork.
- In Canton, a larger share of residents have a bachelor's degree or higher at 13.4% compared to 8.2% in Bigfork.
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.