Demographics details for Volant, PA vs Lake leelanau, MI
Population Overview
Compare main population characteristics in Volant, PA vs Lake leelanau, MI.
Data | Volant | Lake leelanau |
---|---|---|
Population | 125 | 165 |
Median Age | 55.8 years | 27.9 years |
Median Income | $64,375 | $48,125 |
Married Families | 28.0% | 32.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Volant vs Lake leelanau
- The population in Lake leelanau is higher at 165, compared to 125 in Volant.
- Residents in Volant have a higher median age of 55.8 years compared to 27.9 years in Lake leelanau.
- Volant has a higher median income of $64,375 compared to $48,125 in Lake leelanau.
- In Lake leelanau, the percentage of married families is higher at 32.0%, compared to 28.0% in Volant.
- Volant has a higher poverty level at 10% compared to 9% in Lake leelanau.
- Lake leelanau has a higher unemployment rate at 4.1% compared to 3.5% in Volant.
Demographics
Demographics Volant vs Lake leelanau provide insight into the diversity of the communities to compare.
Demographic | Volant | Lake leelanau |
---|---|---|
Black | Data is updating | Data is updating |
White | 100 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | Data is updating |
Two or More Races | Data is updating | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Volant vs Lake leelanau
- The percentage of Black residents is the same in both Volant and Lake leelanau at 0%.
- The percentage of White residents is the same in both Volant and Lake leelanau at 100%.
- Both Volant and Lake leelanau have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Volant and Lake leelanau at 0%.
- Both Volant and Lake leelanau have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Volant and Lake leelanau at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Volant | Lake leelanau |
---|---|---|
Mental Health Not Good | 16.5% | 14.4% |
Physical Health Not Good | 10.4% | 8.4% |
Depression | 23.9% | 22.5% |
Smoking | 17.2% | 12.5% |
Binge Drinking | 19.8% | 18.9% |
Obesity | 33.5% | 31.7% |
Disability Percentage | 4.0% | 24.0% |
Health Statistics Comparison: Volant vs Lake leelanau
- More residents in Volant report poor mental health at 16.5% compared to 14.4% in Lake leelanau.
- Depression is more prevalent in Volant at 23.9% compared to 22.5% in Lake leelanau.
- Smoking is more prevalent in Volant at 17.2% compared to 12.5% in Lake leelanau.
- Binge drinking is more common in Volant at 19.8% compared to 18.9% in Lake leelanau.
- Obesity rates are higher in Volant at 33.5% compared to 31.7% in Lake leelanau.
- There is a higher percentage of disabled individuals in Lake leelanau at 24.0% compared to 4.0% in Volant.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Volant | Lake leelanau |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.4% (4) |
High School Diploma | 10.4% (13) | 13.3% (22) |
Less than High School | 4.8% (6) | 4.8% (8) |
Bachelor's Degree and Higher | 18.4% (23) | 13.9% (23) |
Education Levels Comparison: Volant vs Lake leelanau
- In Lake leelanau, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Volant.
- In Lake leelanau, the rate of residents with high school diplomas is higher at 13.3% compared to 10.4% in Volant.
- Both cities report the same percentage of residents with less than a high school education at 4.8%.
- A higher percentage of residents in Volant hold a bachelor's degree or higher at 18.4% compared to 13.9% in Lake leelanau.
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.