Demographics details for Martinsburg, WV vs Bellingham, WA
Population Overview
Compare main population characteristics in Martinsburg, WV vs Bellingham, WA.
| Data | Martinsburg | Bellingham |
|---|---|---|
| Population | 18,953 | 93,896 |
| Median Age | 36.4 years | 33.7 years |
| Median Income | $55,240 | $64,026 |
| Married Families | 29.0% | 32.0% |
| Poverty Level | 8% | 11% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Martinsburg vs Bellingham
- The population in Bellingham is higher at 93,896, compared to 18,953 in Martinsburg.
- Residents in Martinsburg have a higher median age of 36.4 years compared to 33.7 years in Bellingham.
- Bellingham has a higher median income of $64,026, compared to $55,240 in Martinsburg.
- In Bellingham, the percentage of married families is higher at 32.0%, compared to 29.0% in Martinsburg.
- The poverty level is higher in Bellingham at 11%, compared to 8% in Martinsburg.
- The unemployment rate is the same in both Martinsburg and Bellingham at 4.5%.
Demographics
Demographics Martinsburg vs Bellingham provide insight into the diversity of the communities to compare.
| Demographic | Martinsburg | Bellingham |
|---|---|---|
| Black | 13 | 1 |
| White | 69 | 74 |
| Asian | 1 | 6 |
| Hispanic | 6 | 10 |
| Two or More Races | 11 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Martinsburg vs Bellingham
- A higher percentage of Black residents are in Martinsburg at 13% compared to 1% in Bellingham.
- The percentage of White residents is higher in Bellingham at 74% compared to 69% in Martinsburg.
- In Bellingham, the Asian population stands at 6%, greater than 1% in Martinsburg.
- Bellingham has a higher percentage of Hispanic residents at 10%, compared to 6% in Martinsburg.
- More residents identify as two or more races in Martinsburg at 11% compared to 8% in Bellingham.
- In Bellingham, 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 | Bellingham |
|---|---|---|
| Mental Health Not Good | 21.8% | 17.6% |
| Physical Health Not Good | 15.8% | 10.9% |
| Depression | 27.7% | 30.0% |
| Smoking | 24.7% | 14.1% |
| Binge Drinking | 12.6% | 17.3% |
| Obesity | 43.0% | 25.6% |
| Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Martinsburg vs Bellingham
- More residents in Martinsburg report poor mental health at 21.8% compared to 17.6% in Bellingham.
- Higher depression rates are seen in Bellingham at 30.0% versus 27.7% in Martinsburg.
- Smoking is more prevalent in Martinsburg at 24.7% compared to 14.1% in Bellingham.
- More residents engage in binge drinking in Bellingham at 17.3% compared to 12.6% in Martinsburg.
- Obesity rates are higher in Martinsburg at 43.0% compared to 25.6% in Bellingham.
- Disability percentages are higher in Martinsburg at 17.0% compared to 12.0% in Bellingham.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Martinsburg | Bellingham |
|---|---|---|
| No Schooling | 0.8% (144) | 0.5% (454) |
| High School Diploma | 16.7% (3,171) | 8.8% (8,220) |
| Less than High School | 13.5% (2,556) | 6.2% (5,781) |
| Bachelor's Degree and Higher | 16.2% (3,077) | 28.9% (27,095) |
Education Levels Comparison: Martinsburg vs Bellingham
- A higher percentage of residents in Martinsburg have no formal schooling at 0.8% compared to 0.5% in Bellingham.
- A higher percentage of residents in Martinsburg hold a high school diploma at 16.7% compared to 8.8% in Bellingham.
- More residents in Martinsburg have less than a high school education at 13.5% compared to 6.2% in Bellingham.
- In Bellingham, a larger share of residents have a bachelor's degree or higher at 28.9% 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.