Demographics details for Bangor, WI vs Bigfork, MN
Population Overview
Compare main population characteristics in Bangor, WI vs Bigfork, MN.
| Data | Bangor | Bigfork |
|---|---|---|
| Population | 1,446 | 403 |
| Median Age | 40.0 years | 66.3 years |
| Median Income | $72,019 | $33,750 |
| Married Families | 41.0% | 31.0% |
| Poverty Level | 8% | 9% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Bangor vs Bigfork
- In Bangor, the population is higher at 1,446, compared to 403 in Bigfork.
- The median age in Bigfork is higher at 66.3 years, compared to 40.0 years in Bangor.
- Bangor has a higher median income of $72,019 compared to $33,750 in Bigfork.
- A higher percentage of married families is found in Bangor at 41.0% compared to 31.0% in Bigfork.
- The poverty level is higher in Bigfork at 9%, compared to 8% in Bangor.
- Bigfork has a higher unemployment rate at 3.5% compared to 3.0% in Bangor.
Demographics
Demographics Bangor vs Bigfork provide insight into the diversity of the communities to compare.
| Demographic | Bangor | Bigfork |
|---|---|---|
| Black | Data is updating | 1 |
| White | 97 | 93 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | 2 |
| Two or More Races | 1 | 1 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Bangor vs Bigfork
- In Bigfork, the percentage of Black residents is higher at 1% compared to 0% in Bangor.
- Bangor has a higher percentage of White residents at 97% compared to 93% in Bigfork.
- The Asian population is larger in Bangor at 1% compared to 0% in Bigfork.
- Bigfork has a higher percentage of Hispanic residents at 2%, compared to 1% in Bangor.
- Both Bangor and Bigfork have the same percentage of residents identifying as two or more races at 1%.
- In Bigfork, the percentage of American Indian residents is higher at 3%, compared to 0% in Bangor.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bangor | Bigfork |
|---|---|---|
| Mental Health Not Good | 14.7% | 16.0% |
| Physical Health Not Good | 9.4% | 10.4% |
| Depression | 25.2% | 24.3% |
| Smoking | 15.3% | 21.9% |
| Binge Drinking | 25.4% | 18.4% |
| Obesity | 35.2% | 41.6% |
| Disability Percentage | 9.0% | 23.0% |
Health Statistics Comparison: Bangor vs Bigfork
- In Bigfork, a higher percentage report poor mental health at 16.0% compared to 14.7% in Bangor.
- Depression is more prevalent in Bangor at 25.2% compared to 24.3% in Bigfork.
- Bigfork has a higher smoking rate at 21.9% compared to 15.3% in Bangor.
- Binge drinking is more common in Bangor at 25.4% compared to 18.4% in Bigfork.
- Bigfork has higher obesity rates at 41.6% compared to 35.2% in Bangor.
- There is a higher percentage of disabled individuals in Bigfork at 23.0% compared to 9.0% in Bangor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bangor | Bigfork |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 15.5% (224) | 26.6% (107) |
| Less than High School | 5.1% (74) | 9.7% (39) |
| Bachelor's Degree and Higher | 16.6% (240) | 8.2% (33) |
Education Levels Comparison: Bangor vs Bigfork
- The percentage of residents with no formal schooling is the same in both Bangor and Bigfork at 0.0%.
- In Bigfork, the rate of residents with high school diplomas is higher at 26.6% compared to 15.5% in Bangor.
- The percentage of residents with less than a high school education is higher in Bigfork at 9.7%, compared to 5.1% in Bangor.
- A higher percentage of residents in Bangor hold a bachelor's degree or higher at 16.6% 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.