Demographics details for Boon, MI vs Christiansburg, VA
Population Overview
Compare main population characteristics in Boon, MI vs Christiansburg, VA.
| Data | Boon | Christiansburg |
|---|---|---|
| Population | 56 | 22,562 |
| Median Age | 52.9 years | 39.1 years |
| Median Income | $90,000 | $71,468 |
| Married Families | 43.0% | 45.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Boon vs Christiansburg
- The population in Christiansburg is higher at 22,562, compared to 56 in Boon.
- Residents in Boon have a higher median age of 52.9 years compared to 39.1 years in Christiansburg.
- Boon has a higher median income of $90,000 compared to $71,468 in Christiansburg.
- In Christiansburg, the percentage of married families is higher at 45.0%, compared to 43.0% in Boon.
- The poverty level is higher in Christiansburg at 9%, compared to 5% in Boon.
- The unemployment rate in Boon is higher at 4.2%, compared to 3.2% in Christiansburg.
Demographics
Demographics Boon vs Christiansburg provide insight into the diversity of the communities to compare.
| Demographic | Boon | Christiansburg |
|---|---|---|
| Black | Data is updating | 5 |
| White | 100 | 84 |
| Asian | Data is updating | 4 |
| Hispanic | Data is updating | 3 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Boon vs Christiansburg
- In Christiansburg, the percentage of Black residents is higher at 5% compared to 0% in Boon.
- Boon has a higher percentage of White residents at 100% compared to 84% in Christiansburg.
- In Christiansburg, the Asian population stands at 4%, greater than 0% in Boon.
- Christiansburg has a higher percentage of Hispanic residents at 3%, compared to 0% in Boon.
- The percentage of residents identifying as two or more races is higher in Christiansburg at 4%, compared to 0% in Boon.
- The percentage of American Indian residents is the same in both Boon and Christiansburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boon | Christiansburg |
|---|---|---|
| Mental Health Not Good | 19.1% | 16.1% |
| Physical Health Not Good | 13.1% | 9.9% |
| Depression | 26.7% | 25.8% |
| Smoking | 24.7% | 14.4% |
| Binge Drinking | 18.4% | 19.2% |
| Obesity | 38.7% | 30.3% |
| Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Boon vs Christiansburg
- More residents in Boon report poor mental health at 19.1% compared to 16.1% in Christiansburg.
- Depression is more prevalent in Boon at 26.7% compared to 25.8% in Christiansburg.
- Smoking is more prevalent in Boon at 24.7% compared to 14.4% in Christiansburg.
- More residents engage in binge drinking in Christiansburg at 19.2% compared to 18.4% in Boon.
- Obesity rates are higher in Boon at 38.7% compared to 30.3% in Christiansburg.
- There is a higher percentage of disabled individuals in Christiansburg at 17.0% 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 | Christiansburg |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (66) |
| High School Diploma | 21.4% (12) | 14.0% (3,152) |
| Less than High School | 10.7% (6) | 8.1% (1,827) |
| Bachelor's Degree and Higher | 26.8% (15) | 31.9% (7,193) |
Education Levels Comparison: Boon vs Christiansburg
- In Christiansburg, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Boon.
- A higher percentage of residents in Boon hold a high school diploma at 21.4% compared to 14.0% in Christiansburg.
- More residents in Boon have less than a high school education at 10.7% compared to 8.1% in Christiansburg.
- In Christiansburg, a larger share of residents have a bachelor's degree or higher at 31.9% compared to 26.8% in Boon.
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.