Demographics details for Wilmington, OH vs Riegelwood, NC
Population Overview
Compare main population characteristics in Wilmington, OH vs Riegelwood, NC.
| Data | Wilmington | Riegelwood |
|---|---|---|
| Population | 12,656 | 658 |
| Median Age | 36.5 years | 54.2 years |
| Median Income | $48,407 | $42,452 |
| Married Families | 31.0% | 59.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 5.2 | 4.2 |
Population Comparison: Wilmington vs Riegelwood
- In Wilmington, the population is higher at 12,656, compared to 658 in Riegelwood.
- The median age in Riegelwood is higher at 54.2 years, compared to 36.5 years in Wilmington.
- Wilmington has a higher median income of $48,407 compared to $42,452 in Riegelwood.
- In Riegelwood, the percentage of married families is higher at 59.0%, compared to 31.0% in Wilmington.
- The poverty level is higher in Riegelwood at 15%, compared to 12% in Wilmington.
- The unemployment rate in Wilmington is higher at 5.2%, compared to 4.2% in Riegelwood.
Demographics
Demographics Wilmington vs Riegelwood provide insight into the diversity of the communities to compare.
| Demographic | Wilmington | Riegelwood |
|---|---|---|
| Black | 5 | 26 |
| White | 85 | 60 |
| Asian | 2 | Data is updating |
| Hispanic | 3 | 4 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Wilmington vs Riegelwood
- In Riegelwood, the percentage of Black residents is higher at 26% compared to 5% in Wilmington.
- Wilmington has a higher percentage of White residents at 85% compared to 60% in Riegelwood.
- The Asian population is larger in Wilmington at 2% compared to 0% in Riegelwood.
- Riegelwood has a higher percentage of Hispanic residents at 4%, compared to 3% in Wilmington.
- Both Wilmington and Riegelwood have the same percentage of residents identifying as two or more races at 5%.
- In Riegelwood, the percentage of American Indian residents is higher at 5%, compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wilmington | Riegelwood |
|---|---|---|
| Mental Health Not Good | 19.1% | 17.9% |
| Physical Health Not Good | 13.1% | 12.8% |
| Depression | 25.1% | 24.7% |
| Smoking | 22.9% | 21.1% |
| Binge Drinking | 16.7% | 16.6% |
| Obesity | 43.0% | 40.7% |
| Disability Percentage | 19.0% | 22.0% |
Health Statistics Comparison: Wilmington vs Riegelwood
- More residents in Wilmington report poor mental health at 19.1% compared to 17.9% in Riegelwood.
- Depression is more prevalent in Wilmington at 25.1% compared to 24.7% in Riegelwood.
- Smoking is more prevalent in Wilmington at 22.9% compared to 21.1% in Riegelwood.
- Binge drinking is more common in Wilmington at 16.7% compared to 16.6% in Riegelwood.
- Obesity rates are higher in Wilmington at 43.0% compared to 40.7% in Riegelwood.
- There is a higher percentage of disabled individuals in Riegelwood at 22.0% 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 | Wilmington | Riegelwood |
|---|---|---|
| No Schooling | 1.4% (171) | 0.0% (Data is updating) |
| High School Diploma | 21.3% (2,702) | 47.6% (313) |
| Less than High School | 11.0% (1,394) | 2.1% (14) |
| Bachelor's Degree and Higher | 13.9% (1,753) | 2.7% (18) |
Education Levels Comparison: Wilmington vs Riegelwood
- A higher percentage of residents in Wilmington have no formal schooling at 1.4% compared to 0.0% in Riegelwood.
- In Riegelwood, the rate of residents with high school diplomas is higher at 47.6% compared to 21.3% in Wilmington.
- More residents in Wilmington have less than a high school education at 11.0% compared to 2.1% in Riegelwood.
- A higher percentage of residents in Wilmington hold a bachelor's degree or higher at 13.9% compared to 2.7% in Riegelwood.
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.