Demographics details for Martinsburg, WV vs Freeland, MI
Population Overview
Compare main population characteristics in Martinsburg, WV vs Freeland, MI.
| Data | Martinsburg | Freeland |
|---|---|---|
| Population | 18,953 | 7,357 |
| Median Age | 36.4 years | 37.4 years |
| Median Income | $55,240 | $95,478 |
| Married Families | 29.0% | 39.0% |
| Poverty Level | 8% | 4% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Martinsburg vs Freeland
- In Martinsburg, the population is higher at 18,953, compared to 7,357 in Freeland.
- The median age in Freeland is higher at 37.4 years, compared to 36.4 years in Martinsburg.
- Freeland has a higher median income of $95,478, compared to $55,240 in Martinsburg.
- In Freeland, the percentage of married families is higher at 39.0%, compared to 29.0% in Martinsburg.
- Martinsburg has a higher poverty level at 8% compared to 4% in Freeland.
- The unemployment rate in Martinsburg is higher at 4.5%, compared to 3.5% in Freeland.
Demographics
Demographics Martinsburg vs Freeland provide insight into the diversity of the communities to compare.
| Demographic | Martinsburg | Freeland |
|---|---|---|
| Black | 13 | 9 |
| White | 69 | 76 |
| Asian | 1 | 1 |
| Hispanic | 6 | 5 |
| Two or More Races | 11 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Martinsburg vs Freeland
- A higher percentage of Black residents are in Martinsburg at 13% compared to 9% in Freeland.
- The percentage of White residents is higher in Freeland at 76% compared to 69% in Martinsburg.
- Both Martinsburg and Freeland have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Martinsburg at 6% compared to 5% in Freeland.
- More residents identify as two or more races in Martinsburg at 11% compared to 8% in Freeland.
- In Freeland, 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 | Freeland |
|---|---|---|
| Mental Health Not Good | 21.8% | 14.5% |
| Physical Health Not Good | 15.8% | 9.1% |
| Depression | 27.7% | 20.4% |
| Smoking | 24.7% | 14.2% |
| Binge Drinking | 12.6% | 20.3% |
| Obesity | 43.0% | 37.8% |
| Disability Percentage | 17.0% | 4.0% |
Health Statistics Comparison: Martinsburg vs Freeland
- More residents in Martinsburg report poor mental health at 21.8% compared to 14.5% in Freeland.
- Depression is more prevalent in Martinsburg at 27.7% compared to 20.4% in Freeland.
- Smoking is more prevalent in Martinsburg at 24.7% compared to 14.2% in Freeland.
- More residents engage in binge drinking in Freeland at 20.3% compared to 12.6% in Martinsburg.
- Obesity rates are higher in Martinsburg at 43.0% compared to 37.8% in Freeland.
- Disability percentages are higher in Martinsburg at 17.0% compared to 4.0% in Freeland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Martinsburg | Freeland |
|---|---|---|
| No Schooling | 0.8% (144) | 0.7% (51) |
| High School Diploma | 16.7% (3,171) | 13.8% (1,014) |
| Less than High School | 13.5% (2,556) | 7.4% (542) |
| Bachelor's Degree and Higher | 16.2% (3,077) | 21.8% (1,605) |
Education Levels Comparison: Martinsburg vs Freeland
- A higher percentage of residents in Martinsburg have no formal schooling at 0.8% compared to 0.7% in Freeland.
- A higher percentage of residents in Martinsburg hold a high school diploma at 16.7% compared to 13.8% in Freeland.
- More residents in Martinsburg have less than a high school education at 13.5% compared to 7.4% in Freeland.
- In Freeland, a larger share of residents have a bachelor's degree or higher at 21.8% 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.