Demographics details for Whitesville, WV vs Dayton, OH
Population Overview
Compare main population characteristics in Whitesville, WV vs Dayton, OH.
| Data | Whitesville | Dayton |
|---|---|---|
| Population | 343 | 135,944 |
| Median Age | 35.6 years | 34.0 years |
| Median Income | $40,625 | $41,443 |
| Married Families | 17.0% | 21.0% |
| Poverty Level | 15% | 18% |
| Unemployment Rate | 5.0 | 6.8 |
Population Comparison: Whitesville vs Dayton
- The population in Dayton is higher at 135,944, compared to 343 in Whitesville.
- Residents in Whitesville have a higher median age of 35.6 years compared to 34.0 years in Dayton.
- Dayton has a higher median income of $41,443, compared to $40,625 in Whitesville.
- In Dayton, the percentage of married families is higher at 21.0%, compared to 17.0% in Whitesville.
- The poverty level is higher in Dayton at 18%, compared to 15% in Whitesville.
- Dayton has a higher unemployment rate at 6.8% compared to 5.0% in Whitesville.
Demographics
Demographics Whitesville vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Whitesville | Dayton |
|---|---|---|
| Black | Data is updating | 38 |
| White | 99 | 50 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 5 |
| Two or More Races | 1 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Whitesville vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 0% in Whitesville.
- Whitesville has a higher percentage of White residents at 99% compared to 50% in Dayton.
- In Dayton, the Asian population stands at 1%, greater than 0% in Whitesville.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 0% in Whitesville.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 1% in Whitesville.
- The percentage of American Indian residents is the same in both Whitesville and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitesville | Dayton |
|---|---|---|
| Mental Health Not Good | 23.6% | 21.9% |
| Physical Health Not Good | 16.2% | 16.5% |
| Depression | 30.3% | 26.5% |
| Smoking | 26.2% | 26.0% |
| Binge Drinking | 13.4% | 15.2% |
| Obesity | 41.8% | 47.6% |
| Disability Percentage | 13.0% | 18.0% |
Health Statistics Comparison: Whitesville vs Dayton
- More residents in Whitesville report poor mental health at 23.6% compared to 21.9% in Dayton.
- Depression is more prevalent in Whitesville at 30.3% compared to 26.5% in Dayton.
- Smoking is more prevalent in Whitesville at 26.2% compared to 26.0% in Dayton.
- More residents engage in binge drinking in Dayton at 15.2% compared to 13.4% in Whitesville.
- Dayton has higher obesity rates at 47.6% compared to 41.8% in Whitesville.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 13.0% in Whitesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Whitesville | Dayton |
|---|---|---|
| No Schooling | 0.6% (2) | 0.9% (1,157) |
| High School Diploma | 11.4% (39) | 16.3% (22,101) |
| Less than High School | 32.7% (112) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.7% (17,260) |
Education Levels Comparison: Whitesville vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 0.9% compared to 0.6% in Whitesville.
- In Dayton, the rate of residents with high school diplomas is higher at 16.3% compared to 11.4% in Whitesville.
- More residents in Whitesville have less than a high school education at 32.7% 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 0.0% in Whitesville.
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.