Demographics details for Christiansburg, VA vs Idyllwild, CA
Population Overview
Compare main population characteristics in Christiansburg, VA vs Idyllwild, CA.
Data | Christiansburg | Idyllwild |
---|---|---|
Population | 22,562 | 3,491 |
Median Age | 39.1 years | 49.2 years |
Median Income | $71,468 | $86,442 |
Married Families | 45.0% | 42.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Christiansburg vs Idyllwild
- In Christiansburg, the population is higher at 22,562, compared to 3,491 in Idyllwild.
- The median age in Idyllwild is higher at 49.2 years, compared to 39.1 years in Christiansburg.
- Idyllwild has a higher median income of $86,442, compared to $71,468 in Christiansburg.
- A higher percentage of married families is found in Christiansburg at 45.0% compared to 42.0% in Idyllwild.
- The poverty level is higher in Idyllwild at 12%, compared to 9% in Christiansburg.
- Idyllwild has a higher unemployment rate at 4.5% compared to 3.2% in Christiansburg.
Demographics
Demographics Christiansburg vs Idyllwild provide insight into the diversity of the communities to compare.
Demographic | Christiansburg | Idyllwild |
---|---|---|
Black | 5 | 2 |
White | 84 | 63 |
Asian | 4 | 5 |
Hispanic | 3 | 26 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Christiansburg vs Idyllwild
- A higher percentage of Black residents are in Christiansburg at 5% compared to 2% in Idyllwild.
- Christiansburg has a higher percentage of White residents at 84% compared to 63% in Idyllwild.
- In Idyllwild, the Asian population stands at 5%, greater than 4% in Christiansburg.
- Idyllwild has a higher percentage of Hispanic residents at 26%, compared to 3% in Christiansburg.
- Both Christiansburg and Idyllwild have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Christiansburg and Idyllwild at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Christiansburg | Idyllwild |
---|---|---|
Mental Health Not Good | 16.1% | 15.5% |
Physical Health Not Good | 9.9% | 9.9% |
Depression | 25.8% | 18.5% |
Smoking | 14.4% | 12.1% |
Binge Drinking | 19.2% | 18.4% |
Obesity | 30.3% | 33.2% |
Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Christiansburg vs Idyllwild
- More residents in Christiansburg report poor mental health at 16.1% compared to 15.5% in Idyllwild.
- Depression is more prevalent in Christiansburg at 25.8% compared to 18.5% in Idyllwild.
- Smoking is more prevalent in Christiansburg at 14.4% compared to 12.1% in Idyllwild.
- Binge drinking is more common in Christiansburg at 19.2% compared to 18.4% in Idyllwild.
- Idyllwild has higher obesity rates at 33.2% compared to 30.3% in Christiansburg.
- Disability percentages are higher in Christiansburg at 17.0% compared to 10.0% in Idyllwild.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Christiansburg | Idyllwild |
---|---|---|
No Schooling | 0.3% (66) | 1.9% (68) |
High School Diploma | 14.0% (3,152) | 12.1% (423) |
Less than High School | 8.1% (1,827) | 11.4% (398) |
Bachelor's Degree and Higher | 31.9% (7,193) | 31.9% (1,115) |
Education Levels Comparison: Christiansburg vs Idyllwild
- In Idyllwild, a larger percentage of residents lack formal schooling at 1.9% compared to 0.3% in Christiansburg.
- A higher percentage of residents in Christiansburg hold a high school diploma at 14.0% compared to 12.1% in Idyllwild.
- The percentage of residents with less than a high school education is higher in Idyllwild at 11.4%, compared to 8.1% in Christiansburg.
- The percentage of residents with a bachelor's degree or higher is identical in both Christiansburg and Idyllwild at 31.9%.
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.