Demographics details for Danville, WV vs Wilmington, OH
Population Overview
Compare main population characteristics in Danville, WV vs Wilmington, OH.
| Data | Danville | Wilmington |
|---|---|---|
| Population | 652 | 12,656 |
| Median Age | 53.5 years | 36.5 years |
| Median Income | $31,923 | $48,407 |
| Married Families | 30.0% | 31.0% |
| Poverty Level | 21% | 12% |
| Unemployment Rate | 4.2 | 5.2 |
Population Comparison: Danville vs Wilmington
- The population in Wilmington is higher at 12,656, compared to 652 in Danville.
- Residents in Danville have a higher median age of 53.5 years compared to 36.5 years in Wilmington.
- Wilmington has a higher median income of $48,407, compared to $31,923 in Danville.
- In Wilmington, the percentage of married families is higher at 31.0%, compared to 30.0% in Danville.
- Danville has a higher poverty level at 21% compared to 12% in Wilmington.
- Wilmington has a higher unemployment rate at 5.2% compared to 4.2% in Danville.
Demographics
Demographics Danville vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | Danville | Wilmington |
|---|---|---|
| Black | 2 | 5 |
| White | 98 | 85 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 3 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Danville vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 5% compared to 2% in Danville.
- Danville has a higher percentage of White residents at 98% compared to 85% in Wilmington.
- In Wilmington, the Asian population stands at 2%, greater than 0% in Danville.
- Wilmington has a higher percentage of Hispanic residents at 3%, compared to 0% in Danville.
- The percentage of residents identifying as two or more races is higher in Wilmington at 5%, compared to 0% in Danville.
- The percentage of American Indian residents is the same in both Danville and Wilmington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Danville | Wilmington |
|---|---|---|
| Mental Health Not Good | 23.1% | 19.1% |
| Physical Health Not Good | 15.8% | 13.1% |
| Depression | 30.0% | 25.1% |
| Smoking | 24.9% | 22.9% |
| Binge Drinking | 13.7% | 16.7% |
| Obesity | 41.4% | 43.0% |
| Disability Percentage | 39.0% | 19.0% |
Health Statistics Comparison: Danville vs Wilmington
- More residents in Danville report poor mental health at 23.1% compared to 19.1% in Wilmington.
- Depression is more prevalent in Danville at 30.0% compared to 25.1% in Wilmington.
- Smoking is more prevalent in Danville at 24.9% compared to 22.9% in Wilmington.
- More residents engage in binge drinking in Wilmington at 16.7% compared to 13.7% in Danville.
- Wilmington has higher obesity rates at 43.0% compared to 41.4% in Danville.
- Disability percentages are higher in Danville at 39.0% compared to 19.0% in Wilmington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Danville | Wilmington |
|---|---|---|
| No Schooling | 0.6% (4) | 1.4% (171) |
| High School Diploma | 30.4% (198) | 21.3% (2,702) |
| Less than High School | 37.4% (244) | 11.0% (1,394) |
| Bachelor's Degree and Higher | 5.2% (34) | 13.9% (1,753) |
Education Levels Comparison: Danville vs Wilmington
- In Wilmington, a larger percentage of residents lack formal schooling at 1.4% compared to 0.6% in Danville.
- A higher percentage of residents in Danville hold a high school diploma at 30.4% compared to 21.3% in Wilmington.
- More residents in Danville have less than a high school education at 37.4% compared to 11.0% in Wilmington.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 13.9% compared to 5.2% in Danville.
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.