Demographics details for Wheeling, WV vs Xenia, OH
Population Overview
Compare main population characteristics in Wheeling, WV vs Xenia, OH.
| Data | Wheeling | Xenia |
|---|---|---|
| Population | 26,391 | 25,612 |
| Median Age | 45.0 years | 38.7 years |
| Median Income | $46,516 | $53,041 |
| Married Families | 34.0% | 35.0% |
| Poverty Level | 18% | 13% |
| Unemployment Rate | 4.1 | 5.8 |
Population Comparison: Wheeling vs Xenia
- In Wheeling, the population is higher at 26,391, compared to 25,612 in Xenia.
- Residents in Wheeling have a higher median age of 45.0 years compared to 38.7 years in Xenia.
- Xenia has a higher median income of $53,041, compared to $46,516 in Wheeling.
- In Xenia, the percentage of married families is higher at 35.0%, compared to 34.0% in Wheeling.
- Wheeling has a higher poverty level at 18% compared to 13% in Xenia.
- Xenia has a higher unemployment rate at 5.8% compared to 4.1% in Wheeling.
Demographics
Demographics Wheeling vs Xenia provide insight into the diversity of the communities to compare.
| Demographic | Wheeling | Xenia |
|---|---|---|
| Black | 4 | 10 |
| White | 90 | 80 |
| Asian | 1 | 1 |
| Hispanic | 1 | 3 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeling vs Xenia
- In Xenia, the percentage of Black residents is higher at 10% compared to 4% in Wheeling.
- Wheeling has a higher percentage of White residents at 90% compared to 80% in Xenia.
- Both Wheeling and Xenia have the same percentage of Asian residents at 1%.
- Xenia has a higher percentage of Hispanic residents at 3%, compared to 1% in Wheeling.
- The percentage of residents identifying as two or more races is higher in Xenia at 6%, compared to 4% in Wheeling.
- The percentage of American Indian residents is the same in both Wheeling and Xenia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeling | Xenia |
|---|---|---|
| Mental Health Not Good | 19.5% | 18.7% |
| Physical Health Not Good | 13.3% | 12.8% |
| Depression | 28.7% | 23.5% |
| Smoking | 21.0% | 21.7% |
| Binge Drinking | 14.4% | 16.3% |
| Obesity | 40.4% | 41.0% |
| Disability Percentage | 17.0% | 19.0% |
Health Statistics Comparison: Wheeling vs Xenia
- More residents in Wheeling report poor mental health at 19.5% compared to 18.7% in Xenia.
- Depression is more prevalent in Wheeling at 28.7% compared to 23.5% in Xenia.
- Xenia has a higher smoking rate at 21.7% compared to 21.0% in Wheeling.
- More residents engage in binge drinking in Xenia at 16.3% compared to 14.4% in Wheeling.
- Xenia has higher obesity rates at 41.0% compared to 40.4% in Wheeling.
- There is a higher percentage of disabled individuals in Xenia at 19.0% compared to 17.0% in Wheeling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wheeling | Xenia |
|---|---|---|
| No Schooling | 0.5% (130) | 0.3% (79) |
| High School Diploma | 22.3% (5,888) | 20.4% (5,228) |
| Less than High School | 10.1% (2,653) | 14.0% (3,588) |
| Bachelor's Degree and Higher | 23.5% (6,209) | 14.9% (3,808) |
Education Levels Comparison: Wheeling vs Xenia
- A higher percentage of residents in Wheeling have no formal schooling at 0.5% compared to 0.3% in Xenia.
- A higher percentage of residents in Wheeling hold a high school diploma at 22.3% compared to 20.4% in Xenia.
- The percentage of residents with less than a high school education is higher in Xenia at 14.0%, compared to 10.1% in Wheeling.
- A higher percentage of residents in Wheeling hold a bachelor's degree or higher at 23.5% compared to 14.9% in Xenia.
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.