Demographics details for Xenia, OH vs Shafter, CA
Population Overview
Compare main population characteristics in Xenia, OH vs Shafter, CA.
| Data | Xenia | Shafter |
|---|---|---|
| Population | 25,612 | 21,282 |
| Median Age | 38.7 years | 27.4 years |
| Median Income | $53,041 | $66,418 |
| Married Families | 35.0% | 31.0% |
| Poverty Level | 13% | 20% |
| Unemployment Rate | 5.8 | 5.1 |
Population Comparison: Xenia vs Shafter
- In Xenia, the population is higher at 25,612, compared to 21,282 in Shafter.
- Residents in Xenia have a higher median age of 38.7 years compared to 27.4 years in Shafter.
- Shafter has a higher median income of $66,418, compared to $53,041 in Xenia.
- A higher percentage of married families is found in Xenia at 35.0% compared to 31.0% in Shafter.
- The poverty level is higher in Shafter at 20%, compared to 13% in Xenia.
- The unemployment rate in Xenia is higher at 5.8%, compared to 5.1% in Shafter.
Demographics
Demographics Xenia vs Shafter provide insight into the diversity of the communities to compare.
| Demographic | Xenia | Shafter |
|---|---|---|
| Black | 10 | 2 |
| White | 80 | -9 |
| Asian | 1 | 1 |
| Hispanic | 3 | 78 |
| Two or More Races | 6 | 27 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Xenia vs Shafter
- A higher percentage of Black residents are in Xenia at 10% compared to 2% in Shafter.
- Xenia has a higher percentage of White residents at 80% compared to -9% in Shafter.
- Both Xenia and Shafter have the same percentage of Asian residents at 1%.
- Shafter has a higher percentage of Hispanic residents at 78%, compared to 3% in Xenia.
- The percentage of residents identifying as two or more races is higher in Shafter at 27%, compared to 6% in Xenia.
- In Shafter, 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 | Shafter |
|---|---|---|
| Mental Health Not Good | 18.7% | 18.8% |
| Physical Health Not Good | 12.8% | 16.6% |
| Depression | 23.5% | 19.7% |
| Smoking | 21.7% | 18.3% |
| Binge Drinking | 16.3% | 14.9% |
| Obesity | 41.0% | 39.4% |
| Disability Percentage | 19.0% | 6.0% |
Health Statistics Comparison: Xenia vs Shafter
- In Shafter, a higher percentage report poor mental health at 18.8% compared to 18.7% in Xenia.
- Depression is more prevalent in Xenia at 23.5% compared to 19.7% in Shafter.
- Smoking is more prevalent in Xenia at 21.7% compared to 18.3% in Shafter.
- Binge drinking is more common in Xenia at 16.3% compared to 14.9% in Shafter.
- Obesity rates are higher in Xenia at 41.0% compared to 39.4% in Shafter.
- Disability percentages are higher in Xenia at 19.0% compared to 6.0% in Shafter.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Xenia | Shafter |
|---|---|---|
| No Schooling | 0.3% (79) | 2.7% (567) |
| High School Diploma | 20.4% (5,228) | 14.1% (2,992) |
| Less than High School | 14.0% (3,588) | 32.9% (6,999) |
| Bachelor's Degree and Higher | 14.9% (3,808) | 5.7% (1,217) |
Education Levels Comparison: Xenia vs Shafter
- In Shafter, a larger percentage of residents lack formal schooling at 2.7% compared to 0.3% in Xenia.
- A higher percentage of residents in Xenia hold a high school diploma at 20.4% compared to 14.1% in Shafter.
- The percentage of residents with less than a high school education is higher in Shafter at 32.9%, compared to 14.0% in Xenia.
- A higher percentage of residents in Xenia hold a bachelor's degree or higher at 14.9% compared to 5.7% in Shafter.
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.