Demographics details for Butler, MO vs Dayton, OH
Population Overview
Compare main population characteristics in Butler, MO vs Dayton, OH.
| Data | Butler | Dayton |
|---|---|---|
| Population | 4,246 | 135,944 |
| Median Age | 36.7 years | 34.0 years |
| Median Income | $33,548 | $41,443 |
| Married Families | 35.0% | 21.0% |
| Poverty Level | 14% | 18% |
| Unemployment Rate | 4.3 | 6.8 |
Population Comparison: Butler vs Dayton
- The population in Dayton is higher at 135,944, compared to 4,246 in Butler.
- Residents in Butler have a higher median age of 36.7 years compared to 34.0 years in Dayton.
- Dayton has a higher median income of $41,443, compared to $33,548 in Butler.
- A higher percentage of married families is found in Butler at 35.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 14% in Butler.
- Dayton has a higher unemployment rate at 6.8% compared to 4.3% in Butler.
Demographics
Demographics Butler vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Butler | Dayton |
|---|---|---|
| Black | 6 | 38 |
| White | 89 | 50 |
| Asian | 1 | 1 |
| Hispanic | 1 | 5 |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 6% in Butler.
- Butler has a higher percentage of White residents at 89% compared to 50% in Dayton.
- Both Butler and Dayton have the same percentage of Asian residents at 1%.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 1% in Butler.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 3% in Butler.
- The percentage of American Indian residents is the same in both Butler and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Dayton |
|---|---|---|
| Mental Health Not Good | 20.0% | 21.9% |
| Physical Health Not Good | 15.0% | 16.5% |
| Depression | 27.0% | 26.5% |
| Smoking | 26.2% | 26.0% |
| Binge Drinking | 16.4% | 15.2% |
| Obesity | 42.8% | 47.6% |
| Disability Percentage | 21.0% | 18.0% |
Health Statistics Comparison: Butler vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 20.0% in Butler.
- Depression is more prevalent in Butler at 27.0% compared to 26.5% in Dayton.
- Smoking is more prevalent in Butler at 26.2% compared to 26.0% in Dayton.
- Binge drinking is more common in Butler at 16.4% compared to 15.2% in Dayton.
- Dayton has higher obesity rates at 47.6% compared to 42.8% in Butler.
- Disability percentages are higher in Butler at 21.0% compared to 18.0% in Dayton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Dayton |
|---|---|---|
| No Schooling | 0.7% (31) | 0.9% (1,157) |
| High School Diploma | 37.8% (1,605) | 16.3% (22,101) |
| Less than High School | 11.9% (505) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 7.8% (330) | 12.7% (17,260) |
Education Levels Comparison: Butler vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 0.9% compared to 0.7% in Butler.
- A higher percentage of residents in Butler hold a high school diploma at 37.8% compared to 16.3% in Dayton.
- The percentage of residents with less than a high school education is higher in Dayton at 13.9%, compared to 11.9% in Butler.
- In Dayton, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 7.8% in Butler.
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.