Demographics details for Westminster, MD vs Xenia, OH
Population Overview
Compare main population characteristics in Westminster, MD vs Xenia, OH.
| Data | Westminster | Xenia |
|---|---|---|
| Population | 20,393 | 25,612 |
| Median Age | 37.3 years | 38.7 years |
| Median Income | $71,286 | $53,041 |
| Married Families | 37.0% | 35.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 3.5 | 5.8 |
Population Comparison: Westminster vs Xenia
- The population in Xenia is higher at 25,612, compared to 20,393 in Westminster.
- The median age in Xenia is higher at 38.7 years, compared to 37.3 years in Westminster.
- Westminster has a higher median income of $71,286 compared to $53,041 in Xenia.
- A higher percentage of married families is found in Westminster at 37.0% compared to 35.0% in Xenia.
- The poverty level is higher in Xenia at 13%, compared to 5% in Westminster.
- Xenia has a higher unemployment rate at 5.8% compared to 3.5% in Westminster.
Demographics
Demographics Westminster vs Xenia provide insight into the diversity of the communities to compare.
| Demographic | Westminster | Xenia |
|---|---|---|
| Black | 7 | 10 |
| White | 77 | 80 |
| Asian | 3 | 1 |
| Hispanic | 6 | 3 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Westminster vs Xenia
- In Xenia, the percentage of Black residents is higher at 10% compared to 7% in Westminster.
- The percentage of White residents is higher in Xenia at 80% compared to 77% in Westminster.
- The Asian population is larger in Westminster at 3% compared to 1% in Xenia.
- The Hispanic community is larger in Westminster at 6% compared to 3% in Xenia.
- More residents identify as two or more races in Westminster at 7% compared to 6% in Xenia.
- The percentage of American Indian residents is the same in both Westminster and Xenia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Westminster | Xenia |
|---|---|---|
| Mental Health Not Good | 15.3% | 18.7% |
| Physical Health Not Good | 9.2% | 12.8% |
| Depression | 20.8% | 23.5% |
| Smoking | 13.6% | 21.7% |
| Binge Drinking | 17.5% | 16.3% |
| Obesity | 32.4% | 41.0% |
| Disability Percentage | 16.0% | 19.0% |
Health Statistics Comparison: Westminster vs Xenia
- In Xenia, a higher percentage report poor mental health at 18.7% compared to 15.3% in Westminster.
- Higher depression rates are seen in Xenia at 23.5% versus 20.8% in Westminster.
- Xenia has a higher smoking rate at 21.7% compared to 13.6% in Westminster.
- Binge drinking is more common in Westminster at 17.5% compared to 16.3% in Xenia.
- Xenia has higher obesity rates at 41.0% compared to 32.4% in Westminster.
- There is a higher percentage of disabled individuals in Xenia at 19.0% compared to 16.0% in Westminster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Westminster | Xenia |
|---|---|---|
| No Schooling | 0.7% (137) | 0.3% (79) |
| High School Diploma | 16.2% (3,301) | 20.4% (5,228) |
| Less than High School | 13.1% (2,677) | 14.0% (3,588) |
| Bachelor's Degree and Higher | 23.5% (4,789) | 14.9% (3,808) |
Education Levels Comparison: Westminster vs Xenia
- A higher percentage of residents in Westminster have no formal schooling at 0.7% compared to 0.3% in Xenia.
- In Xenia, the rate of residents with high school diplomas is higher at 20.4% compared to 16.2% in Westminster.
- The percentage of residents with less than a high school education is higher in Xenia at 14.0%, compared to 13.1% in Westminster.
- A higher percentage of residents in Westminster 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.