Demographics details for Bigfork, MN vs Charlottesville, VA
Population Overview
Compare main population characteristics in Bigfork, MN vs Charlottesville, VA.
Data | Bigfork | Charlottesville |
---|---|---|
Population | 403 | 45,373 |
Median Age | 66.3 years | 32.4 years |
Median Income | $33,750 | $67,177 |
Married Families | 31.0% | 30.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 3.5 | 2.7 |
Population Comparison: Bigfork vs Charlottesville
- The population in Charlottesville is higher at 45,373, compared to 403 in Bigfork.
- Residents in Bigfork have a higher median age of 66.3 years compared to 32.4 years in Charlottesville.
- Charlottesville has a higher median income of $67,177, compared to $33,750 in Bigfork.
- A higher percentage of married families is found in Bigfork at 31.0% compared to 30.0% in Charlottesville.
- The poverty level is higher in Charlottesville at 12%, compared to 9% in Bigfork.
- The unemployment rate in Bigfork is higher at 3.5%, compared to 2.7% in Charlottesville.
Demographics
Demographics Bigfork vs Charlottesville provide insight into the diversity of the communities to compare.
Demographic | Bigfork | Charlottesville |
---|---|---|
Black | 1 | 18 |
White | 93 | 63 |
Asian | Data is updating | 7 |
Hispanic | 2 | 6 |
Two or More Races | 1 | 6 |
American Indian | 3 | Data is updating |
Demographics Comparison: Bigfork vs Charlottesville
- In Charlottesville, the percentage of Black residents is higher at 18% compared to 1% in Bigfork.
- Bigfork has a higher percentage of White residents at 93% compared to 63% in Charlottesville.
- In Charlottesville, the Asian population stands at 7%, greater than 0% in Bigfork.
- Charlottesville has a higher percentage of Hispanic residents at 6%, compared to 2% in Bigfork.
- The percentage of residents identifying as two or more races is higher in Charlottesville at 6%, compared to 1% in Bigfork.
- A greater percentage of American Indian residents live in Bigfork at 3% compared to 0% in Charlottesville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bigfork | Charlottesville |
---|---|---|
Mental Health Not Good | 16.0% | 16.4% |
Physical Health Not Good | 10.4% | 10.5% |
Depression | 24.3% | 22.4% |
Smoking | 21.9% | 15.0% |
Binge Drinking | 18.4% | 16.7% |
Obesity | 41.6% | 32.9% |
Disability Percentage | 23.0% | 9.0% |
Health Statistics Comparison: Bigfork vs Charlottesville
- In Charlottesville, a higher percentage report poor mental health at 16.4% compared to 16.0% in Bigfork.
- Depression is more prevalent in Bigfork at 24.3% compared to 22.4% in Charlottesville.
- Smoking is more prevalent in Bigfork at 21.9% compared to 15.0% in Charlottesville.
- Binge drinking is more common in Bigfork at 18.4% compared to 16.7% in Charlottesville.
- Obesity rates are higher in Bigfork at 41.6% compared to 32.9% in Charlottesville.
- Disability percentages are higher in Bigfork at 23.0% compared to 9.0% in Charlottesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bigfork | Charlottesville |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (495) |
High School Diploma | 26.6% (107) | 7.8% (3,550) |
Less than High School | 9.7% (39) | 7.6% (3,427) |
Bachelor's Degree and Higher | 8.2% (33) | 38.2% (17,339) |
Education Levels Comparison: Bigfork vs Charlottesville
- In Charlottesville, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Bigfork.
- A higher percentage of residents in Bigfork hold a high school diploma at 26.6% compared to 7.8% in Charlottesville.
- More residents in Bigfork have less than a high school education at 9.7% compared to 7.6% in Charlottesville.
- In Charlottesville, a larger share of residents have a bachelor's degree or higher at 38.2% 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.