Demographics details for Dayton, OH vs Livonia, MI
Population Overview
Compare main population characteristics in Dayton, OH vs Livonia, MI.
| Data | Dayton | Livonia |
|---|---|---|
| Population | 135,944 | 93,779 |
| Median Age | 34.0 years | 45.2 years |
| Median Income | $41,443 | $92,458 |
| Married Families | 21.0% | 46.0% |
| Poverty Level | 18% | 5% |
| Unemployment Rate | 6.8 | 2.8 |
Population Comparison: Dayton vs Livonia
- In Dayton, the population is higher at 135,944, compared to 93,779 in Livonia.
- The median age in Livonia is higher at 45.2 years, compared to 34.0 years in Dayton.
- Livonia has a higher median income of $92,458, compared to $41,443 in Dayton.
- In Livonia, the percentage of married families is higher at 46.0%, compared to 21.0% in Dayton.
- Dayton has a higher poverty level at 18% compared to 5% in Livonia.
- The unemployment rate in Dayton is higher at 6.8%, compared to 2.8% in Livonia.
Demographics
Demographics Dayton vs Livonia provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Livonia |
|---|---|---|
| Black | 38 | 5 |
| White | 50 | 82 |
| Asian | 1 | 4 |
| Hispanic | 5 | 4 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dayton vs Livonia
- A higher percentage of Black residents are in Dayton at 38% compared to 5% in Livonia.
- The percentage of White residents is higher in Livonia at 82% compared to 50% in Dayton.
- In Livonia, the Asian population stands at 4%, greater than 1% in Dayton.
- The Hispanic community is larger in Dayton at 5% compared to 4% in Livonia.
- More residents identify as two or more races in Dayton at 6% compared to 5% in Livonia.
- The percentage of American Indian residents is the same in both Dayton and Livonia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Livonia |
|---|---|---|
| Mental Health Not Good | 21.9% | 15.1% |
| Physical Health Not Good | 16.5% | 9.1% |
| Depression | 26.5% | 23.1% |
| Smoking | 26.0% | 15.4% |
| Binge Drinking | 15.2% | 20.3% |
| Obesity | 47.6% | 28.8% |
| Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Dayton vs Livonia
- More residents in Dayton report poor mental health at 21.9% compared to 15.1% in Livonia.
- Depression is more prevalent in Dayton at 26.5% compared to 23.1% in Livonia.
- Smoking is more prevalent in Dayton at 26.0% compared to 15.4% in Livonia.
- More residents engage in binge drinking in Livonia at 20.3% compared to 15.2% in Dayton.
- Obesity rates are higher in Dayton at 47.6% compared to 28.8% in Livonia.
- Disability percentages are higher in Dayton at 18.0% compared to 13.0% in Livonia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dayton | Livonia |
|---|---|---|
| No Schooling | 0.9% (1,157) | 0.4% (399) |
| High School Diploma | 16.3% (22,101) | 14.5% (13,609) |
| Less than High School | 13.9% (18,900) | 7.1% (6,697) |
| Bachelor's Degree and Higher | 12.7% (17,260) | 29.5% (27,618) |
Education Levels Comparison: Dayton vs Livonia
- A higher percentage of residents in Dayton have no formal schooling at 0.9% compared to 0.4% in Livonia.
- A higher percentage of residents in Dayton hold a high school diploma at 16.3% compared to 14.5% in Livonia.
- More residents in Dayton have less than a high school education at 13.9% compared to 7.1% in Livonia.
- In Livonia, a larger share of residents have a bachelor's degree or higher at 29.5% 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.