Demographics details for Xenia, OH vs Washington, NC
Population Overview
Compare main population characteristics in Xenia, OH vs Washington, NC.
| Data | Xenia | Washington |
|---|---|---|
| Population | 25,612 | 10,828 |
| Median Age | 38.7 years | 48.0 years |
| Median Income | $53,041 | $38,927 |
| Married Families | 35.0% | 34.0% |
| Poverty Level | 13% | 16% |
| Unemployment Rate | 5.8 | 4.8 |
Population Comparison: Xenia vs Washington
- In Xenia, the population is higher at 25,612, compared to 10,828 in Washington.
- The median age in Washington is higher at 48.0 years, compared to 38.7 years in Xenia.
- Xenia has a higher median income of $53,041 compared to $38,927 in Washington.
- A higher percentage of married families is found in Xenia at 35.0% compared to 34.0% in Washington.
- The poverty level is higher in Washington at 16%, compared to 13% in Xenia.
- The unemployment rate in Xenia is higher at 5.8%, compared to 4.8% in Washington.
Demographics
Demographics Xenia vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Xenia | Washington |
|---|---|---|
| Black | 10 | 49 |
| White | 80 | 41 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 6 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Xenia vs Washington
- In Washington, the percentage of Black residents is higher at 49% compared to 10% in Xenia.
- Xenia has a higher percentage of White residents at 80% compared to 41% in Washington.
- The Asian population is larger in Xenia at 1% compared to 0% in Washington.
- Washington has a higher percentage of Hispanic residents at 6%, compared to 3% in Xenia.
- More residents identify as two or more races in Xenia at 6% compared to 3% in Washington.
- In Washington, the percentage of American Indian residents is higher at 1%, compared to 0% in Xenia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Xenia | Washington |
|---|---|---|
| Mental Health Not Good | 18.7% | 18.3% |
| Physical Health Not Good | 12.8% | 13.8% |
| Depression | 23.5% | 22.8% |
| Smoking | 21.7% | 21.9% |
| Binge Drinking | 16.3% | 14.7% |
| Obesity | 41.0% | 43.3% |
| Disability Percentage | 19.0% | 24.0% |
Health Statistics Comparison: Xenia vs Washington
- More residents in Xenia report poor mental health at 18.7% compared to 18.3% in Washington.
- Depression is more prevalent in Xenia at 23.5% compared to 22.8% in Washington.
- Washington has a higher smoking rate at 21.9% compared to 21.7% in Xenia.
- Binge drinking is more common in Xenia at 16.3% compared to 14.7% in Washington.
- Washington has higher obesity rates at 43.3% compared to 41.0% in Xenia.
- There is a higher percentage of disabled individuals in Washington at 24.0% compared to 19.0% in Xenia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Xenia | Washington |
|---|---|---|
| No Schooling | 0.3% (79) | 1.2% (128) |
| High School Diploma | 20.4% (5,228) | 19.0% (2,058) |
| Less than High School | 14.0% (3,588) | 13.7% (1,487) |
| Bachelor's Degree and Higher | 14.9% (3,808) | 10.3% (1,118) |
Education Levels Comparison: Xenia vs Washington
- In Washington, a larger percentage of residents lack formal schooling at 1.2% compared to 0.3% in Xenia.
- A higher percentage of residents in Xenia hold a high school diploma at 20.4% compared to 19.0% in Washington.
- More residents in Xenia have less than a high school education at 14.0% compared to 13.7% in Washington.
- A higher percentage of residents in Xenia hold a bachelor's degree or higher at 14.9% compared to 10.3% in Washington.
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.