Demographics details for Bigfork, MN vs Lanett, AL
Population Overview
Compare main population characteristics in Bigfork, MN vs Lanett, AL.
| Data | Bigfork | Lanett |
|---|---|---|
| Population | 403 | 6,759 |
| Median Age | 66.3 years | 39.9 years |
| Median Income | $33,750 | $48,125 |
| Married Families | 31.0% | 24.0% |
| Poverty Level | 9% | Data is updating |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Bigfork vs Lanett
- The population in Lanett is higher at 6,759, compared to 403 in Bigfork.
- Residents in Bigfork have a higher median age of 66.3 years compared to 39.9 years in Lanett.
- Lanett has a higher median income of $48,125, compared to $33,750 in Bigfork.
- A higher percentage of married families is found in Bigfork at 31.0% compared to 24.0% in Lanett.
- Bigfork has a higher poverty level at 9% compared to 0% in Lanett.
- The unemployment rate in Bigfork is higher at 3.5%, compared to 3.2% in Lanett.
Demographics
Demographics Bigfork vs Lanett provide insight into the diversity of the communities to compare.
| Demographic | Bigfork | Lanett |
|---|---|---|
| Black | 1 | 73 |
| White | 93 | 16 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 8 |
| Two or More Races | 1 | 3 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Bigfork vs Lanett
- In Lanett, the percentage of Black residents is higher at 73% compared to 1% in Bigfork.
- Bigfork has a higher percentage of White residents at 93% compared to 16% in Lanett.
- Both Bigfork and Lanett have the same percentage of Asian residents at 0%.
- Lanett has a higher percentage of Hispanic residents at 8%, compared to 2% in Bigfork.
- The percentage of residents identifying as two or more races is higher in Lanett at 3%, compared to 1% in Bigfork.
- A greater percentage of American Indian residents live in Bigfork at 3% compared to 0% in Lanett.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bigfork | Lanett |
|---|---|---|
| Mental Health Not Good | 16.0% | 20.0% |
| Physical Health Not Good | 10.4% | 14.6% |
| Depression | 24.3% | 22.1% |
| Smoking | 21.9% | 21.6% |
| Binge Drinking | 18.4% | 12.7% |
| Obesity | 41.6% | 46.5% |
| Disability Percentage | 23.0% | 22.0% |
Health Statistics Comparison: Bigfork vs Lanett
- In Lanett, a higher percentage report poor mental health at 20.0% compared to 16.0% in Bigfork.
- Depression is more prevalent in Bigfork at 24.3% compared to 22.1% in Lanett.
- Smoking is more prevalent in Bigfork at 21.9% compared to 21.6% in Lanett.
- Binge drinking is more common in Bigfork at 18.4% compared to 12.7% in Lanett.
- Lanett has higher obesity rates at 46.5% compared to 41.6% in Bigfork.
- Disability percentages are higher in Bigfork at 23.0% compared to 22.0% in Lanett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bigfork | Lanett |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.3% (90) |
| High School Diploma | 26.6% (107) | 18.9% (1,277) |
| Less than High School | 9.7% (39) | 20.3% (1,369) |
| Bachelor's Degree and Higher | 8.2% (33) | 7.4% (498) |
Education Levels Comparison: Bigfork vs Lanett
- In Lanett, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Bigfork.
- A higher percentage of residents in Bigfork hold a high school diploma at 26.6% compared to 18.9% in Lanett.
- The percentage of residents with less than a high school education is higher in Lanett at 20.3%, compared to 9.7% in Bigfork.
- A higher percentage of residents in Bigfork hold a bachelor's degree or higher at 8.2% compared to 7.4% in Lanett.
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.