Demographics details for Bonne terre, MO vs Dayton, OH
Population Overview
Compare main population characteristics in Bonne terre, MO vs Dayton, OH.
| Data | Bonne terre | Dayton |
|---|---|---|
| Population | 6,667 | 135,944 |
| Median Age | 39.0 years | 34.0 years |
| Median Income | $34,409 | $41,443 |
| Married Families | 33.0% | 21.0% |
| Poverty Level | 15% | 18% |
| Unemployment Rate | 4.3 | 6.8 |
Population Comparison: Bonne terre vs Dayton
- The population in Dayton is higher at 135,944, compared to 6,667 in Bonne terre.
- Residents in Bonne terre have a higher median age of 39.0 years compared to 34.0 years in Dayton.
- Dayton has a higher median income of $41,443, compared to $34,409 in Bonne terre.
- A higher percentage of married families is found in Bonne terre at 33.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 15% in Bonne terre.
- Dayton has a higher unemployment rate at 6.8% compared to 4.3% in Bonne terre.
Demographics
Demographics Bonne terre vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Bonne terre | Dayton |
|---|---|---|
| Black | 12 | 38 |
| White | 75 | 50 |
| Asian | 3 | 1 |
| Hispanic | 3 | 5 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bonne terre vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 12% in Bonne terre.
- Bonne terre has a higher percentage of White residents at 75% compared to 50% in Dayton.
- The Asian population is larger in Bonne terre at 3% compared to 1% in Dayton.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 3% in Bonne terre.
- More residents identify as two or more races in Bonne terre at 7% compared to 6% in Dayton.
- The percentage of American Indian residents is the same in both Bonne terre and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bonne terre | Dayton |
|---|---|---|
| Mental Health Not Good | 19.3% | 21.9% |
| Physical Health Not Good | 15.8% | 16.5% |
| Depression | 24.1% | 26.5% |
| Smoking | 30.2% | 26.0% |
| Binge Drinking | 17.7% | 15.2% |
| Obesity | 45.9% | 47.6% |
| Disability Percentage | 17.0% | 18.0% |
Health Statistics Comparison: Bonne terre vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 19.3% in Bonne terre.
- Higher depression rates are seen in Dayton at 26.5% versus 24.1% in Bonne terre.
- Smoking is more prevalent in Bonne terre at 30.2% compared to 26.0% in Dayton.
- Binge drinking is more common in Bonne terre at 17.7% compared to 15.2% in Dayton.
- Dayton has higher obesity rates at 47.6% compared to 45.9% in Bonne terre.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 17.0% in Bonne terre.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bonne terre | Dayton |
|---|---|---|
| No Schooling | 3.3% (220) | 0.9% (1,157) |
| High School Diploma | 29.2% (1,946) | 16.3% (22,101) |
| Less than High School | 30.7% (2,047) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 6.4% (424) | 12.7% (17,260) |
Education Levels Comparison: Bonne terre vs Dayton
- A higher percentage of residents in Bonne terre have no formal schooling at 3.3% compared to 0.9% in Dayton.
- A higher percentage of residents in Bonne terre hold a high school diploma at 29.2% compared to 16.3% in Dayton.
- More residents in Bonne terre have less than a high school education at 30.7% compared to 13.9% in Dayton.
- In Dayton, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 6.4% in Bonne terre.
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.