Demographics details for Columbia, MD vs Martinsburg, WV
Population Overview
Compare main population characteristics in Columbia, MD vs Martinsburg, WV.
| Data | Columbia | Martinsburg |
|---|---|---|
| Population | 106,600 | 18,953 |
| Median Age | 38.8 years | 36.4 years |
| Median Income | $124,537 | $55,240 |
| Married Families | 40.0% | 29.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 2.9 | 4.5 |
Population Comparison: Columbia vs Martinsburg
- In Columbia, the population is higher at 106,600, compared to 18,953 in Martinsburg.
- Residents in Columbia have a higher median age of 38.8 years compared to 36.4 years in Martinsburg.
- Columbia has a higher median income of $124,537 compared to $55,240 in Martinsburg.
- A higher percentage of married families is found in Columbia at 40.0% compared to 29.0% in Martinsburg.
- The poverty level is higher in Martinsburg at 8%, compared to 5% in Columbia.
- Martinsburg has a higher unemployment rate at 4.5% compared to 2.9% in Columbia.
Demographics
Demographics Columbia vs Martinsburg provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Martinsburg |
|---|---|---|
| Black | 28 | 13 |
| White | 42 | 69 |
| Asian | 13 | 1 |
| Hispanic | 9 | 6 |
| Two or More Races | 8 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Martinsburg
- A higher percentage of Black residents are in Columbia at 28% compared to 13% in Martinsburg.
- The percentage of White residents is higher in Martinsburg at 69% compared to 42% in Columbia.
- The Asian population is larger in Columbia at 13% compared to 1% in Martinsburg.
- The Hispanic community is larger in Columbia at 9% compared to 6% in Martinsburg.
- The percentage of residents identifying as two or more races is higher in Martinsburg at 11%, compared to 8% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and Martinsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Martinsburg |
|---|---|---|
| Mental Health Not Good | 12.7% | 21.8% |
| Physical Health Not Good | 7.5% | 15.8% |
| Depression | 17.9% | 27.7% |
| Smoking | 8.7% | 24.7% |
| Binge Drinking | 13.3% | 12.6% |
| Obesity | 29.6% | 43.0% |
| Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Columbia vs Martinsburg
- In Martinsburg, a higher percentage report poor mental health at 21.8% compared to 12.7% in Columbia.
- Higher depression rates are seen in Martinsburg at 27.7% versus 17.9% in Columbia.
- Martinsburg has a higher smoking rate at 24.7% compared to 8.7% in Columbia.
- Binge drinking is more common in Columbia at 13.3% compared to 12.6% in Martinsburg.
- Martinsburg has higher obesity rates at 43.0% compared to 29.6% in Columbia.
- There is a higher percentage of disabled individuals in Martinsburg at 17.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Martinsburg |
|---|---|---|
| No Schooling | 1.0% (1,029) | 0.8% (144) |
| High School Diploma | 7.3% (7,833) | 16.7% (3,171) |
| Less than High School | 4.5% (4,826) | 13.5% (2,556) |
| Bachelor's Degree and Higher | 44.4% (47,380) | 16.2% (3,077) |
Education Levels Comparison: Columbia vs Martinsburg
- A higher percentage of residents in Columbia have no formal schooling at 1.0% compared to 0.8% in Martinsburg.
- In Martinsburg, the rate of residents with high school diplomas is higher at 16.7% compared to 7.3% in Columbia.
- The percentage of residents with less than a high school education is higher in Martinsburg at 13.5%, compared to 4.5% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 44.4% 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.