Demographics details for Boon, MI vs Villas, NJ
Population Overview
Compare main population characteristics in Boon, MI vs Villas, NJ.
| Data | Boon | Villas |
|---|---|---|
| Population | 56 | 9,925 |
| Median Age | 52.9 years | 42.4 years |
| Median Income | $90,000 | $74,182 |
| Married Families | 43.0% | 42.0% |
| Poverty Level | 5% | 6% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Boon vs Villas
- The population in Villas is higher at 9,925, compared to 56 in Boon.
- Residents in Boon have a higher median age of 52.9 years compared to 42.4 years in Villas.
- Boon has a higher median income of $90,000 compared to $74,182 in Villas.
- A higher percentage of married families is found in Boon at 43.0% compared to 42.0% in Villas.
- The poverty level is higher in Villas at 6%, compared to 5% in Boon.
- The unemployment rate is the same in both Boon and Villas at 4.2%.
Demographics
Demographics Boon vs Villas provide insight into the diversity of the communities to compare.
| Demographic | Boon | Villas |
|---|---|---|
| Black | Data is updating | 1 |
| White | 100 | 88 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 6 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Boon vs Villas
- In Villas, the percentage of Black residents is higher at 1% compared to 0% in Boon.
- Boon has a higher percentage of White residents at 100% compared to 88% in Villas.
- In Villas, the Asian population stands at 1%, greater than 0% in Boon.
- Villas has a higher percentage of Hispanic residents at 6%, compared to 0% in Boon.
- The percentage of residents identifying as two or more races is higher in Villas at 6%, compared to 0% in Boon.
- The percentage of American Indian residents is the same in both Boon and Villas at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boon | Villas |
|---|---|---|
| Mental Health Not Good | 19.1% | 17.8% |
| Physical Health Not Good | 13.1% | 12.2% |
| Depression | 26.7% | 25.1% |
| Smoking | 24.7% | 19.2% |
| Binge Drinking | 18.4% | 18.9% |
| Obesity | 38.7% | 34.4% |
| Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Boon vs Villas
- More residents in Boon report poor mental health at 19.1% compared to 17.8% in Villas.
- Depression is more prevalent in Boon at 26.7% compared to 25.1% in Villas.
- Smoking is more prevalent in Boon at 24.7% compared to 19.2% in Villas.
- More residents engage in binge drinking in Villas at 18.9% compared to 18.4% in Boon.
- Obesity rates are higher in Boon at 38.7% compared to 34.4% in Villas.
- There is a higher percentage of disabled individuals in Villas at 18.0% compared to 11.0% in Boon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Boon | Villas |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (89) |
| High School Diploma | 21.4% (12) | 24.7% (2,455) |
| Less than High School | 10.7% (6) | 9.5% (946) |
| Bachelor's Degree and Higher | 26.8% (15) | 17.4% (1,724) |
Education Levels Comparison: Boon vs Villas
- In Villas, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Boon.
- In Villas, the rate of residents with high school diplomas is higher at 24.7% compared to 21.4% in Boon.
- More residents in Boon have less than a high school education at 10.7% compared to 9.5% in Villas.
- A higher percentage of residents in Boon hold a bachelor's degree or higher at 26.8% compared to 17.4% in Villas.
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.