Demographics details for Martinsburg, WV vs Idyllwild, CA
Population Overview
Compare main population characteristics in Martinsburg, WV vs Idyllwild, CA.
| Data | Martinsburg | Idyllwild |
|---|---|---|
| Population | 18,953 | 3,491 |
| Median Age | 36.4 years | 49.2 years |
| Median Income | $55,240 | $86,442 |
| Married Families | 29.0% | 42.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Martinsburg vs Idyllwild
- In Martinsburg, the population is higher at 18,953, compared to 3,491 in Idyllwild.
- The median age in Idyllwild is higher at 49.2 years, compared to 36.4 years in Martinsburg.
- Idyllwild has a higher median income of $86,442, compared to $55,240 in Martinsburg.
- In Idyllwild, the percentage of married families is higher at 42.0%, compared to 29.0% in Martinsburg.
- The poverty level is higher in Idyllwild at 12%, compared to 8% in Martinsburg.
- The unemployment rate is the same in both Martinsburg and Idyllwild at 4.5%.
Demographics
Demographics Martinsburg vs Idyllwild provide insight into the diversity of the communities to compare.
| Demographic | Martinsburg | Idyllwild |
|---|---|---|
| Black | 13 | 2 |
| White | 69 | 63 |
| Asian | 1 | 5 |
| Hispanic | 6 | 26 |
| Two or More Races | 11 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Martinsburg vs Idyllwild
- A higher percentage of Black residents are in Martinsburg at 13% compared to 2% in Idyllwild.
- Martinsburg has a higher percentage of White residents at 69% compared to 63% in Idyllwild.
- In Idyllwild, the Asian population stands at 5%, greater than 1% in Martinsburg.
- Idyllwild has a higher percentage of Hispanic residents at 26%, compared to 6% in Martinsburg.
- More residents identify as two or more races in Martinsburg at 11% compared to 4% in Idyllwild.
- The percentage of American Indian residents is the same in both Martinsburg and Idyllwild at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Martinsburg | Idyllwild |
|---|---|---|
| Mental Health Not Good | 21.8% | 15.5% |
| Physical Health Not Good | 15.8% | 9.9% |
| Depression | 27.7% | 18.5% |
| Smoking | 24.7% | 12.1% |
| Binge Drinking | 12.6% | 18.4% |
| Obesity | 43.0% | 33.2% |
| Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Martinsburg vs Idyllwild
- More residents in Martinsburg report poor mental health at 21.8% compared to 15.5% in Idyllwild.
- Depression is more prevalent in Martinsburg at 27.7% compared to 18.5% in Idyllwild.
- Smoking is more prevalent in Martinsburg at 24.7% compared to 12.1% in Idyllwild.
- More residents engage in binge drinking in Idyllwild at 18.4% compared to 12.6% in Martinsburg.
- Obesity rates are higher in Martinsburg at 43.0% compared to 33.2% in Idyllwild.
- Disability percentages are higher in Martinsburg 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 | Martinsburg | Idyllwild |
|---|---|---|
| No Schooling | 0.8% (144) | 1.9% (68) |
| High School Diploma | 16.7% (3,171) | 12.1% (423) |
| Less than High School | 13.5% (2,556) | 11.4% (398) |
| Bachelor's Degree and Higher | 16.2% (3,077) | 31.9% (1,115) |
Education Levels Comparison: Martinsburg vs Idyllwild
- In Idyllwild, a larger percentage of residents lack formal schooling at 1.9% compared to 0.8% in Martinsburg.
- A higher percentage of residents in Martinsburg hold a high school diploma at 16.7% compared to 12.1% in Idyllwild.
- More residents in Martinsburg have less than a high school education at 13.5% compared to 11.4% in Idyllwild.
- In Idyllwild, a larger share of residents have a bachelor's degree or higher at 31.9% compared to 16.2% in Martinsburg.
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.