Demographics details for Martinsburg, WV vs Eau claire, WI
Population Overview
Compare main population characteristics in Martinsburg, WV vs Eau claire, WI.
| Data | Martinsburg | Eau claire |
|---|---|---|
| Population | 18,953 | 69,737 |
| Median Age | 36.4 years | 32.8 years |
| Median Income | $55,240 | $63,882 |
| Married Families | 29.0% | 34.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 4.5 | 3.0 |
Population Comparison: Martinsburg vs Eau claire
- The population in Eau claire is higher at 69,737, compared to 18,953 in Martinsburg.
- Residents in Martinsburg have a higher median age of 36.4 years compared to 32.8 years in Eau claire.
- Eau claire has a higher median income of $63,882, compared to $55,240 in Martinsburg.
- In Eau claire, the percentage of married families is higher at 34.0%, compared to 29.0% in Martinsburg.
- The poverty level is higher in Eau claire at 10%, compared to 8% in Martinsburg.
- The unemployment rate in Martinsburg is higher at 4.5%, compared to 3.0% in Eau claire.
Demographics
Demographics Martinsburg vs Eau claire provide insight into the diversity of the communities to compare.
| Demographic | Martinsburg | Eau claire |
|---|---|---|
| Black | 13 | 1 |
| White | 69 | 86 |
| Asian | 1 | 6 |
| Hispanic | 6 | 3 |
| Two or More Races | 11 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Martinsburg vs Eau claire
- A higher percentage of Black residents are in Martinsburg at 13% compared to 1% in Eau claire.
- The percentage of White residents is higher in Eau claire at 86% compared to 69% in Martinsburg.
- In Eau claire, the Asian population stands at 6%, greater than 1% in Martinsburg.
- The Hispanic community is larger in Martinsburg at 6% compared to 3% in Eau claire.
- More residents identify as two or more races in Martinsburg at 11% compared to 4% in Eau claire.
- The percentage of American Indian residents is the same in both Martinsburg and Eau claire at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Martinsburg | Eau claire |
|---|---|---|
| Mental Health Not Good | 21.8% | 15.3% |
| Physical Health Not Good | 15.8% | 9.8% |
| Depression | 27.7% | 23.6% |
| Smoking | 24.7% | 15.2% |
| Binge Drinking | 12.6% | 24.8% |
| Obesity | 43.0% | 32.2% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Martinsburg vs Eau claire
- More residents in Martinsburg report poor mental health at 21.8% compared to 15.3% in Eau claire.
- Depression is more prevalent in Martinsburg at 27.7% compared to 23.6% in Eau claire.
- Smoking is more prevalent in Martinsburg at 24.7% compared to 15.2% in Eau claire.
- More residents engage in binge drinking in Eau claire at 24.8% compared to 12.6% in Martinsburg.
- Obesity rates are higher in Martinsburg at 43.0% compared to 32.2% in Eau claire.
- Disability percentages are higher in Martinsburg at 17.0% compared to 13.0% in Eau claire.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Martinsburg | Eau claire |
|---|---|---|
| No Schooling | 0.8% (144) | 0.5% (340) |
| High School Diploma | 16.7% (3,171) | 14.2% (9,934) |
| Less than High School | 13.5% (2,556) | 3.7% (2,573) |
| Bachelor's Degree and Higher | 16.2% (3,077) | 21.6% (15,073) |
Education Levels Comparison: Martinsburg vs Eau claire
- A higher percentage of residents in Martinsburg have no formal schooling at 0.8% compared to 0.5% in Eau claire.
- A higher percentage of residents in Martinsburg hold a high school diploma at 16.7% compared to 14.2% in Eau claire.
- More residents in Martinsburg have less than a high school education at 13.5% compared to 3.7% in Eau claire.
- In Eau claire, a larger share of residents have a bachelor's degree or higher at 21.6% 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.