Demographics details for Kerman, CA vs Christiansburg, OH
Population Overview
Compare main population characteristics in Kerman, CA vs Christiansburg, OH.
| Data | Kerman | Christiansburg |
|---|---|---|
| Population | 16,208 | 501 |
| Median Age | 27.8 years | 34.5 years |
| Median Income | $53,956 | $72,375 |
| Married Families | 32.0% | 38.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 5.5 | 4.5 |
Population Comparison: Kerman vs Christiansburg
- In Kerman, the population is higher at 16,208, compared to 501 in Christiansburg.
- The median age in Christiansburg is higher at 34.5 years, compared to 27.8 years in Kerman.
- Christiansburg has a higher median income of $72,375, compared to $53,956 in Kerman.
- In Christiansburg, the percentage of married families is higher at 38.0%, compared to 32.0% in Kerman.
- Kerman has a higher poverty level at 12% compared to 8% in Christiansburg.
- The unemployment rate in Kerman is higher at 5.5%, compared to 4.5% in Christiansburg.
Demographics
Demographics Kerman vs Christiansburg provide insight into the diversity of the communities to compare.
| Demographic | Kerman | Christiansburg |
|---|---|---|
| Black | Data is updating | 1 |
| White | -12 | 95 |
| Asian | 7 | Data is updating |
| Hispanic | 81 | Data is updating |
| Two or More Races | 22 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Kerman vs Christiansburg
- In Christiansburg, the percentage of Black residents is higher at 1% compared to 0% in Kerman.
- The percentage of White residents is higher in Christiansburg at 95% compared to -12% in Kerman.
- The Asian population is larger in Kerman at 7% compared to 0% in Christiansburg.
- The Hispanic community is larger in Kerman at 81% compared to 0% in Christiansburg.
- More residents identify as two or more races in Kerman at 22% compared to 4% in Christiansburg.
- A greater percentage of American Indian residents live in Kerman at 2% compared to 0% in Christiansburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kerman | Christiansburg |
|---|---|---|
| Mental Health Not Good | 18.7% | 17.6% |
| Physical Health Not Good | 15.8% | 11.7% |
| Depression | 18.0% | 24.5% |
| Smoking | 17.3% | 21.0% |
| Binge Drinking | 13.1% | 18.8% |
| Obesity | 39.5% | 39.9% |
| Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Kerman vs Christiansburg
- More residents in Kerman report poor mental health at 18.7% compared to 17.6% in Christiansburg.
- Higher depression rates are seen in Christiansburg at 24.5% versus 18.0% in Kerman.
- Christiansburg has a higher smoking rate at 21.0% compared to 17.3% in Kerman.
- More residents engage in binge drinking in Christiansburg at 18.8% compared to 13.1% in Kerman.
- Christiansburg has higher obesity rates at 39.9% compared to 39.5% in Kerman.
- There is a higher percentage of disabled individuals in Christiansburg at 18.0% compared to 11.0% in Kerman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kerman | Christiansburg |
|---|---|---|
| No Schooling | 4.3% (694) | 0.4% (2) |
| High School Diploma | 10.4% (1,690) | 29.7% (149) |
| Less than High School | 45.2% (7,334) | 11.6% (58) |
| Bachelor's Degree and Higher | 7.3% (1,177) | 7.8% (39) |
Education Levels Comparison: Kerman vs Christiansburg
- A higher percentage of residents in Kerman have no formal schooling at 4.3% compared to 0.4% in Christiansburg.
- In Christiansburg, the rate of residents with high school diplomas is higher at 29.7% compared to 10.4% in Kerman.
- More residents in Kerman have less than a high school education at 45.2% compared to 11.6% in Christiansburg.
- In Christiansburg, a larger share of residents have a bachelor's degree or higher at 7.8% compared to 7.3% in Kerman.
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.