Demographics details for Central point, OR vs Xenia, OH
Population Overview
Compare main population characteristics in Central point, OR vs Xenia, OH.
| Data | Central point | Xenia |
|---|---|---|
| Population | 19,222 | 25,612 |
| Median Age | 40.3 years | 38.7 years |
| Median Income | $79,731 | $53,041 |
| Married Families | 45.0% | 35.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 4.5 | 5.8 |
Population Comparison: Central point vs Xenia
- The population in Xenia is higher at 25,612, compared to 19,222 in Central point.
- Residents in Central point have a higher median age of 40.3 years compared to 38.7 years in Xenia.
- Central point has a higher median income of $79,731 compared to $53,041 in Xenia.
- A higher percentage of married families is found in Central point at 45.0% compared to 35.0% in Xenia.
- The poverty level is higher in Xenia at 13%, compared to 10% in Central point.
- Xenia has a higher unemployment rate at 5.8% compared to 4.5% in Central point.
Demographics
Demographics Central point vs Xenia provide insight into the diversity of the communities to compare.
| Demographic | Central point | Xenia |
|---|---|---|
| Black | Data is updating | 10 |
| White | 76 | 80 |
| Asian | 1 | 1 |
| Hispanic | 15 | 3 |
| Two or More Races | 7 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Central point vs Xenia
- In Xenia, the percentage of Black residents is higher at 10% compared to 0% in Central point.
- The percentage of White residents is higher in Xenia at 80% compared to 76% in Central point.
- Both Central point and Xenia have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Central point at 15% compared to 3% in Xenia.
- More residents identify as two or more races in Central point at 7% compared to 6% in Xenia.
- A greater percentage of American Indian residents live in Central point at 1% compared to 0% in Xenia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Central point | Xenia |
|---|---|---|
| Mental Health Not Good | 19.4% | 18.7% |
| Physical Health Not Good | 12.0% | 12.8% |
| Depression | 29.4% | 23.5% |
| Smoking | 16.7% | 21.7% |
| Binge Drinking | 16.5% | 16.3% |
| Obesity | 30.1% | 41.0% |
| Disability Percentage | 11.0% | 19.0% |
Health Statistics Comparison: Central point vs Xenia
- More residents in Central point report poor mental health at 19.4% compared to 18.7% in Xenia.
- Depression is more prevalent in Central point at 29.4% compared to 23.5% in Xenia.
- Xenia has a higher smoking rate at 21.7% compared to 16.7% in Central point.
- Binge drinking is more common in Central point at 16.5% compared to 16.3% in Xenia.
- Xenia has higher obesity rates at 41.0% compared to 30.1% in Central point.
- There is a higher percentage of disabled individuals in Xenia at 19.0% compared to 11.0% in Central point.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Central point | Xenia |
|---|---|---|
| No Schooling | 1.7% (319) | 0.3% (79) |
| High School Diploma | 16.1% (3,095) | 20.4% (5,228) |
| Less than High School | 13.2% (2,530) | 14.0% (3,588) |
| Bachelor's Degree and Higher | 15.6% (3,003) | 14.9% (3,808) |
Education Levels Comparison: Central point vs Xenia
- A higher percentage of residents in Central point have no formal schooling at 1.7% compared to 0.3% in Xenia.
- In Xenia, the rate of residents with high school diplomas is higher at 20.4% compared to 16.1% in Central point.
- The percentage of residents with less than a high school education is higher in Xenia at 14.0%, compared to 13.2% in Central point.
- A higher percentage of residents in Central point hold a bachelor's degree or higher at 15.6% 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.