Demographics details for Boones mill, VA vs Dayton, OH
Population Overview
Compare main population characteristics in Boones mill, VA vs Dayton, OH.
| Data | Boones mill | Dayton |
|---|---|---|
| Population | 258 | 135,944 |
| Median Age | 52.4 years | 34.0 years |
| Median Income | $67,083 | $41,443 |
| Married Families | 37.0% | 21.0% |
| Poverty Level | 8% | 18% |
| Unemployment Rate | 3.5 | 6.8 |
Population Comparison: Boones mill vs Dayton
- The population in Dayton is higher at 135,944, compared to 258 in Boones mill.
- Residents in Boones mill have a higher median age of 52.4 years compared to 34.0 years in Dayton.
- Boones mill has a higher median income of $67,083 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Boones mill at 37.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 8% in Boones mill.
- Dayton has a higher unemployment rate at 6.8% compared to 3.5% in Boones mill.
Demographics
Demographics Boones mill vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Boones mill | Dayton |
|---|---|---|
| Black | 2 | 38 |
| White | 96 | 50 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 5 |
| Two or More Races | 2 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Boones mill vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 2% in Boones mill.
- Boones mill has a higher percentage of White residents at 96% compared to 50% in Dayton.
- In Dayton, the Asian population stands at 1%, greater than 0% in Boones mill.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 0% in Boones mill.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 2% in Boones mill.
- The percentage of American Indian residents is the same in both Boones mill and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boones mill | Dayton |
|---|---|---|
| Mental Health Not Good | 17.6% | 21.9% |
| Physical Health Not Good | 11.6% | 16.5% |
| Depression | 24.8% | 26.5% |
| Smoking | 18.3% | 26.0% |
| Binge Drinking | 18.0% | 15.2% |
| Obesity | 35.6% | 47.6% |
| Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Boones mill vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 17.6% in Boones mill.
- Higher depression rates are seen in Dayton at 26.5% versus 24.8% in Boones mill.
- Dayton has a higher smoking rate at 26.0% compared to 18.3% in Boones mill.
- Binge drinking is more common in Boones mill at 18.0% compared to 15.2% in Dayton.
- Dayton has higher obesity rates at 47.6% compared to 35.6% in Boones mill.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 11.0% in Boones mill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Boones mill | Dayton |
|---|---|---|
| No Schooling | 2.3% (6) | 0.9% (1,157) |
| High School Diploma | 11.2% (29) | 16.3% (22,101) |
| Less than High School | 20.2% (52) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 20.5% (53) | 12.7% (17,260) |
Education Levels Comparison: Boones mill vs Dayton
- A higher percentage of residents in Boones mill have no formal schooling at 2.3% compared to 0.9% in Dayton.
- In Dayton, the rate of residents with high school diplomas is higher at 16.3% compared to 11.2% in Boones mill.
- More residents in Boones mill have less than a high school education at 20.2% compared to 13.9% in Dayton.
- A higher percentage of residents in Boones mill hold a bachelor's degree or higher at 20.5% compared to 12.7% in Dayton.
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.