Demographics details for Bigfork, MN vs Brooklyn, CT
Population Overview
Compare main population characteristics in Bigfork, MN vs Brooklyn, CT.
| Data | Bigfork | Brooklyn |
|---|---|---|
| Population | 403 | 8,244 |
| Median Age | 66.3 years | 41.5 years |
| Median Income | $33,750 | $80,945 |
| Married Families | 31.0% | Data is updating |
| Poverty Level | 9% | 6% |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Bigfork vs Brooklyn
- The population in Brooklyn is higher at 8,244, compared to 403 in Bigfork.
- Residents in Bigfork have a higher median age of 66.3 years compared to 41.5 years in Brooklyn.
- Brooklyn has a higher median income of $80,945, compared to $33,750 in Bigfork.
- A higher percentage of married families is found in Bigfork at 31.0% compared to 0.0% in Brooklyn.
- Bigfork has a higher poverty level at 9% compared to 6% in Brooklyn.
- The unemployment rate in Bigfork is higher at 3.5%, compared to 2.5% in Brooklyn.
Demographics
Demographics Bigfork vs Brooklyn provide insight into the diversity of the communities to compare.
| Demographic | Bigfork | Brooklyn |
|---|---|---|
| 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 Brooklyn
- A higher percentage of Black residents are in Bigfork at 1% compared to 0% in Brooklyn.
- The percentage of White residents is higher in Brooklyn at 100% compared to 93% in Bigfork.
- Both Bigfork and Brooklyn have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Bigfork at 2% compared to 0% in Brooklyn.
- More residents identify as two or more races in Bigfork at 1% compared to 0% in Brooklyn.
- A greater percentage of American Indian residents live in Bigfork at 3% compared to 0% in Brooklyn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bigfork | Brooklyn |
|---|---|---|
| Mental Health Not Good | 16.0% | Data is updating% |
| Physical Health Not Good | 10.4% | Data is updating% |
| Depression | 24.3% | Data is updating% |
| Smoking | 21.9% | Data is updating% |
| Binge Drinking | 18.4% | Data is updating% |
| Obesity | 41.6% | Data is updating% |
| Disability Percentage | 23.0% | Data is updating% |
Health Statistics Comparison: Bigfork vs Brooklyn
- More residents in Bigfork report poor mental health at 16.0% compared to 0.0% in Brooklyn.
- Depression is more prevalent in Bigfork at 24.3% compared to 0.0% in Brooklyn.
- Smoking is more prevalent in Bigfork at 21.9% compared to 0.0% in Brooklyn.
- Binge drinking is more common in Bigfork at 18.4% compared to 0.0% in Brooklyn.
- Obesity rates are higher in Bigfork at 41.6% compared to 0.0% in Brooklyn.
- Disability percentages are higher in Bigfork at 23.0% compared to 0.0% in Brooklyn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bigfork | Brooklyn |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 26.6% (107) | 0.0% (Data is updating) |
| Less than High School | 9.7% (39) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 8.2% (33) | 0.0% (Data is updating) |
Education Levels Comparison: Bigfork vs Brooklyn
- The percentage of residents with no formal schooling is the same in both Bigfork and Brooklyn at 0.0%.
- A higher percentage of residents in Bigfork hold a high school diploma at 26.6% compared to 0.0% in Brooklyn.
- More residents in Bigfork have less than a high school education at 9.7% compared to 0.0% in Brooklyn.
- A higher percentage of residents in Bigfork hold a bachelor's degree or higher at 8.2% compared to 0.0% in Brooklyn.
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.