Demographics details for Bush, LA vs Dayton, OH
Population Overview
Compare main population characteristics in Bush, LA vs Dayton, OH.
| Data | Bush | Dayton |
|---|---|---|
| Population | 224 | 135,944 |
| Median Age | 35.0 years | 34.0 years |
| Median Income | $60,000 | $41,443 |
| Married Families | 70.0% | 21.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 5.0 | 6.8 |
Population Comparison: Bush vs Dayton
- The population in Dayton is higher at 135,944, compared to 224 in Bush.
- Residents in Bush have a higher median age of 35.0 years compared to 34.0 years in Dayton.
- Bush has a higher median income of $60,000 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Bush at 70.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 10% in Bush.
- Dayton has a higher unemployment rate at 6.8% compared to 5.0% in Bush.
Demographics
Demographics Bush vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Bush | Dayton |
|---|---|---|
| Black | Data is updating | 38 |
| White | 100 | 50 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 5 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bush vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 0% in Bush.
- Bush has a higher percentage of White residents at 100% compared to 50% in Dayton.
- In Dayton, the Asian population stands at 1%, greater than 0% in Bush.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 0% in Bush.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 0% in Bush.
- The percentage of American Indian residents is the same in both Bush and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bush | Dayton |
|---|---|---|
| Mental Health Not Good | Data is updating% | 21.9% |
| Physical Health Not Good | Data is updating% | 16.5% |
| Depression | Data is updating% | 26.5% |
| Smoking | Data is updating% | 26.0% |
| Binge Drinking | Data is updating% | 15.2% |
| Obesity | Data is updating% | 47.6% |
| Disability Percentage | Data is updating% | 18.0% |
Health Statistics Comparison: Bush vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 0.0% in Bush.
- Higher depression rates are seen in Dayton at 26.5% versus 0.0% in Bush.
- Dayton has a higher smoking rate at 26.0% compared to 0.0% in Bush.
- More residents engage in binge drinking in Dayton at 15.2% compared to 0.0% in Bush.
- Dayton has higher obesity rates at 47.6% compared to 0.0% in Bush.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 0.0% in Bush.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bush | Dayton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (1,157) |
| High School Diploma | 0.0% (Data is updating) | 16.3% (22,101) |
| Less than High School | 0.0% (Data is updating) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.7% (17,260) |
Education Levels Comparison: Bush vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Bush.
- In Dayton, the rate of residents with high school diplomas is higher at 16.3% compared to 0.0% in Bush.
- The percentage of residents with less than a high school education is higher in Dayton at 13.9%, compared to 0.0% in Bush.
- In Dayton, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 0.0% in Bush.
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.