Demographics details for Central city, KY vs Dayton, OH
Population Overview
Compare main population characteristics in Central city, KY vs Dayton, OH.
| Data | Central city | Dayton |
|---|---|---|
| Population | 5,810 | 135,944 |
| Median Age | 33.5 years | 34.0 years |
| Median Income | $52,184 | $41,443 |
| Married Families | 38.0% | 21.0% |
| Poverty Level | 16% | 18% |
| Unemployment Rate | 3.5 | 6.8 |
Population Comparison: Central city vs Dayton
- The population in Dayton is higher at 135,944, compared to 5,810 in Central city.
- The median age in Dayton is higher at 34.0 years, compared to 33.5 years in Central city.
- Central city has a higher median income of $52,184 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Central city at 38.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 16% in Central city.
- Dayton has a higher unemployment rate at 6.8% compared to 3.5% in Central city.
Demographics
Demographics Central city vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Central city | Dayton |
|---|---|---|
| Black | 3 | 38 |
| White | 88 | 50 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 5 |
| Two or More Races | 6 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Central city vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 3% in Central city.
- Central city has a higher percentage of White residents at 88% compared to 50% in Dayton.
- In Dayton, the Asian population stands at 1%, greater than 0% in Central city.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 2% in Central city.
- Both Central city and Dayton have the same percentage of residents identifying as two or more races at 6%.
- A greater percentage of American Indian residents live in Central city at 1% compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Central city | Dayton |
|---|---|---|
| Mental Health Not Good | 19.3% | 21.9% |
| Physical Health Not Good | 15.5% | 16.5% |
| Depression | 26.8% | 26.5% |
| Smoking | 24.8% | 26.0% |
| Binge Drinking | 14.8% | 15.2% |
| Obesity | 41.9% | 47.6% |
| Disability Percentage | 15.0% | 18.0% |
Health Statistics Comparison: Central city vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 19.3% in Central city.
- Depression is more prevalent in Central city at 26.8% compared to 26.5% in Dayton.
- Dayton has a higher smoking rate at 26.0% compared to 24.8% in Central city.
- More residents engage in binge drinking in Dayton at 15.2% compared to 14.8% in Central city.
- Dayton has higher obesity rates at 47.6% compared to 41.9% in Central city.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 15.0% in Central city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Central city | Dayton |
|---|---|---|
| No Schooling | 1.1% (65) | 0.9% (1,157) |
| High School Diploma | 15.4% (897) | 16.3% (22,101) |
| Less than High School | 15.6% (905) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 8.3% (480) | 12.7% (17,260) |
Education Levels Comparison: Central city vs Dayton
- A higher percentage of residents in Central city have no formal schooling at 1.1% compared to 0.9% in Dayton.
- In Dayton, the rate of residents with high school diplomas is higher at 16.3% compared to 15.4% in Central city.
- More residents in Central city have less than a high school education at 15.6% 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 8.3% in Central city.
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.