Demographics details for Boyle, MS vs Menomonee falls, WI
Population Overview
Compare main population characteristics in Boyle, MS vs Menomonee falls, WI.
Data | Boyle | Menomonee falls |
---|---|---|
Population | 499 | 39,246 |
Median Age | 36.7 years | 41.9 years |
Median Income | $33,750 | $96,986 |
Married Families | 25.0% | 46.0% |
Poverty Level | 20% | 5% |
Unemployment Rate | 4.5 | 2.8 |
Population Comparison: Boyle vs Menomonee falls
- The population in Menomonee falls is higher at 39,246, compared to 499 in Boyle.
- The median age in Menomonee falls is higher at 41.9 years, compared to 36.7 years in Boyle.
- Menomonee falls has a higher median income of $96,986, compared to $33,750 in Boyle.
- In Menomonee falls, the percentage of married families is higher at 46.0%, compared to 25.0% in Boyle.
- Boyle has a higher poverty level at 20% compared to 5% in Menomonee falls.
- The unemployment rate in Boyle is higher at 4.5%, compared to 2.8% in Menomonee falls.
Demographics
Demographics Boyle vs Menomonee falls provide insight into the diversity of the communities to compare.
Demographic | Boyle | Menomonee falls |
---|---|---|
Black | 50 | 4 |
White | 50 | 82 |
Asian | Data is updating | 5 |
Hispanic | Data is updating | 5 |
Two or More Races | Data is updating | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Boyle vs Menomonee falls
- A higher percentage of Black residents are in Boyle at 50% compared to 4% in Menomonee falls.
- The percentage of White residents is higher in Menomonee falls at 82% compared to 50% in Boyle.
- In Menomonee falls, the Asian population stands at 5%, greater than 0% in Boyle.
- Menomonee falls has a higher percentage of Hispanic residents at 5%, compared to 0% in Boyle.
- The percentage of residents identifying as two or more races is higher in Menomonee falls at 4%, compared to 0% in Boyle.
- The percentage of American Indian residents is the same in both Boyle and Menomonee falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Boyle | Menomonee falls |
---|---|---|
Mental Health Not Good | 17.4% | 12.7% |
Physical Health Not Good | 13.3% | 7.7% |
Depression | 20.4% | 20.0% |
Smoking | 20.5% | 11.6% |
Binge Drinking | 13.0% | 25.0% |
Obesity | 41.3% | 33.4% |
Disability Percentage | 48.0% | 10.0% |
Health Statistics Comparison: Boyle vs Menomonee falls
- More residents in Boyle report poor mental health at 17.4% compared to 12.7% in Menomonee falls.
- Depression is more prevalent in Boyle at 20.4% compared to 20.0% in Menomonee falls.
- Smoking is more prevalent in Boyle at 20.5% compared to 11.6% in Menomonee falls.
- More residents engage in binge drinking in Menomonee falls at 25.0% compared to 13.0% in Boyle.
- Obesity rates are higher in Boyle at 41.3% compared to 33.4% in Menomonee falls.
- Disability percentages are higher in Boyle at 48.0% compared to 10.0% in Menomonee falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Boyle | Menomonee falls |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.3% (117) |
High School Diploma | 16.2% (81) | 14.9% (5,834) |
Less than High School | 17.0% (85) | 4.9% (1,936) |
Bachelor's Degree and Higher | 41.7% (208) | 33.4% (13,122) |
Education Levels Comparison: Boyle vs Menomonee falls
- In Menomonee falls, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Boyle.
- A higher percentage of residents in Boyle hold a high school diploma at 16.2% compared to 14.9% in Menomonee falls.
- More residents in Boyle have less than a high school education at 17.0% compared to 4.9% in Menomonee falls.
- A higher percentage of residents in Boyle hold a bachelor's degree or higher at 41.7% compared to 33.4% in Menomonee falls.
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.