Demographics details for Martinsburg, WV vs Silverhill, AL
Population Overview
Compare main population characteristics in Martinsburg, WV vs Silverhill, AL.
| Data | Martinsburg | Silverhill |
|---|---|---|
| Population | 18,953 | 1,369 |
| Median Age | 36.4 years | 43.0 years |
| Median Income | $55,240 | $58,510 |
| Married Families | 29.0% | 26.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Martinsburg vs Silverhill
- In Martinsburg, the population is higher at 18,953, compared to 1,369 in Silverhill.
- The median age in Silverhill is higher at 43.0 years, compared to 36.4 years in Martinsburg.
- Silverhill has a higher median income of $58,510, compared to $55,240 in Martinsburg.
- A higher percentage of married families is found in Martinsburg at 29.0% compared to 26.0% in Silverhill.
- The poverty level is higher in Silverhill at 10%, compared to 8% in Martinsburg.
- The unemployment rate in Martinsburg is higher at 4.5%, compared to 3.5% in Silverhill.
Demographics
Demographics Martinsburg vs Silverhill provide insight into the diversity of the communities to compare.
| Demographic | Martinsburg | Silverhill |
|---|---|---|
| Black | 13 | Data is updating |
| White | 69 | 90 |
| Asian | 1 | Data is updating |
| Hispanic | 6 | 7 |
| Two or More Races | 11 | 2 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Martinsburg vs Silverhill
- A higher percentage of Black residents are in Martinsburg at 13% compared to 0% in Silverhill.
- The percentage of White residents is higher in Silverhill at 90% compared to 69% in Martinsburg.
- The Asian population is larger in Martinsburg at 1% compared to 0% in Silverhill.
- Silverhill has a higher percentage of Hispanic residents at 7%, compared to 6% in Martinsburg.
- More residents identify as two or more races in Martinsburg at 11% compared to 2% in Silverhill.
- In Silverhill, the percentage of American Indian residents is higher at 1%, compared to 0% in Martinsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Martinsburg | Silverhill |
|---|---|---|
| Mental Health Not Good | 21.8% | 18.7% |
| Physical Health Not Good | 15.8% | 12.1% |
| Depression | 27.7% | 24.9% |
| Smoking | 24.7% | 17.6% |
| Binge Drinking | 12.6% | 17.7% |
| Obesity | 43.0% | 38.2% |
| Disability Percentage | 17.0% | 6.0% |
Health Statistics Comparison: Martinsburg vs Silverhill
- More residents in Martinsburg report poor mental health at 21.8% compared to 18.7% in Silverhill.
- Depression is more prevalent in Martinsburg at 27.7% compared to 24.9% in Silverhill.
- Smoking is more prevalent in Martinsburg at 24.7% compared to 17.6% in Silverhill.
- More residents engage in binge drinking in Silverhill at 17.7% compared to 12.6% in Martinsburg.
- Obesity rates are higher in Martinsburg at 43.0% compared to 38.2% in Silverhill.
- Disability percentages are higher in Martinsburg at 17.0% compared to 6.0% in Silverhill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Martinsburg | Silverhill |
|---|---|---|
| No Schooling | 0.8% (144) | 2.0% (28) |
| High School Diploma | 16.7% (3,171) | 10.1% (138) |
| Less than High School | 13.5% (2,556) | 5.4% (74) |
| Bachelor's Degree and Higher | 16.2% (3,077) | 11.5% (157) |
Education Levels Comparison: Martinsburg vs Silverhill
- In Silverhill, a larger percentage of residents lack formal schooling at 2.0% compared to 0.8% in Martinsburg.
- A higher percentage of residents in Martinsburg hold a high school diploma at 16.7% compared to 10.1% in Silverhill.
- More residents in Martinsburg have less than a high school education at 13.5% compared to 5.4% in Silverhill.
- A higher percentage of residents in Martinsburg hold a bachelor's degree or higher at 16.2% compared to 11.5% in Silverhill.
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.