Demographics details for Xenia, OH vs Highland, KS
Population Overview
Compare main population characteristics in Xenia, OH vs Highland, KS.
| Data | Xenia | Highland |
|---|---|---|
| Population | 25,612 | 915 |
| Median Age | 38.7 years | 20.4 years |
| Median Income | $53,041 | $65,000 |
| Married Families | 35.0% | 25.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 5.8 | 3.2 |
Population Comparison: Xenia vs Highland
- In Xenia, the population is higher at 25,612, compared to 915 in Highland.
- Residents in Xenia have a higher median age of 38.7 years compared to 20.4 years in Highland.
- Highland has a higher median income of $65,000, compared to $53,041 in Xenia.
- A higher percentage of married families is found in Xenia at 35.0% compared to 25.0% in Highland.
- Xenia has a higher poverty level at 13% compared to 5% in Highland.
- The unemployment rate in Xenia is higher at 5.8%, compared to 3.2% in Highland.
Demographics
Demographics Xenia vs Highland provide insight into the diversity of the communities to compare.
| Demographic | Xenia | Highland |
|---|---|---|
| Black | 10 | 33 |
| White | 80 | 51 |
| Asian | 1 | 1 |
| Hispanic | 3 | 7 |
| Two or More Races | 6 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Xenia vs Highland
- In Highland, the percentage of Black residents is higher at 33% compared to 10% in Xenia.
- Xenia has a higher percentage of White residents at 80% compared to 51% in Highland.
- Both Xenia and Highland have the same percentage of Asian residents at 1%.
- Highland has a higher percentage of Hispanic residents at 7%, compared to 3% in Xenia.
- The percentage of residents identifying as two or more races is higher in Highland at 8%, compared to 6% in Xenia.
- The percentage of American Indian residents is the same in both Xenia and Highland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Xenia | Highland |
|---|---|---|
| Mental Health Not Good | 18.7% | 16.5% |
| Physical Health Not Good | 12.8% | 10.8% |
| Depression | 23.5% | 21.5% |
| Smoking | 21.7% | 19.7% |
| Binge Drinking | 16.3% | 19.2% |
| Obesity | 41.0% | 40.1% |
| Disability Percentage | 19.0% | 17.0% |
Health Statistics Comparison: Xenia vs Highland
- More residents in Xenia report poor mental health at 18.7% compared to 16.5% in Highland.
- Depression is more prevalent in Xenia at 23.5% compared to 21.5% in Highland.
- Smoking is more prevalent in Xenia at 21.7% compared to 19.7% in Highland.
- More residents engage in binge drinking in Highland at 19.2% compared to 16.3% in Xenia.
- Obesity rates are higher in Xenia at 41.0% compared to 40.1% in Highland.
- Disability percentages are higher in Xenia at 19.0% compared to 17.0% in Highland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Xenia | Highland |
|---|---|---|
| No Schooling | 0.3% (79) | 0.0% (Data is updating) |
| High School Diploma | 20.4% (5,228) | 7.5% (69) |
| Less than High School | 14.0% (3,588) | 6.1% (56) |
| Bachelor's Degree and Higher | 14.9% (3,808) | 15.3% (140) |
Education Levels Comparison: Xenia vs Highland
- A higher percentage of residents in Xenia have no formal schooling at 0.3% compared to 0.0% in Highland.
- A higher percentage of residents in Xenia hold a high school diploma at 20.4% compared to 7.5% in Highland.
- More residents in Xenia have less than a high school education at 14.0% compared to 6.1% in Highland.
- In Highland, a larger share of residents have a bachelor's degree or higher at 15.3% 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.