Demographics details for Fishers, IN vs Martinsburg, WV
Population Overview
Compare main population characteristics in Fishers, IN vs Martinsburg, WV.
| Data | Fishers | Martinsburg |
|---|---|---|
| Population | 101,966 | 18,953 |
| Median Age | 37.1 years | 36.4 years |
| Median Income | $126,548 | $55,240 |
| Married Families | 47.0% | 29.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Fishers vs Martinsburg
- In Fishers, the population is higher at 101,966, compared to 18,953 in Martinsburg.
- Residents in Fishers have a higher median age of 37.1 years compared to 36.4 years in Martinsburg.
- Fishers has a higher median income of $126,548 compared to $55,240 in Martinsburg.
- A higher percentage of married families is found in Fishers at 47.0% compared to 29.0% in Martinsburg.
- The poverty level is higher in Martinsburg at 8%, compared to 5% in Fishers.
- Martinsburg has a higher unemployment rate at 4.5% compared to 3.5% in Fishers.
Demographics
Demographics Fishers vs Martinsburg provide insight into the diversity of the communities to compare.
| Demographic | Fishers | Martinsburg |
|---|---|---|
| Black | 5 | 13 |
| White | 80 | 69 |
| Asian | 8 | 1 |
| Hispanic | 3 | 6 |
| Two or More Races | 4 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Fishers vs Martinsburg
- In Martinsburg, the percentage of Black residents is higher at 13% compared to 5% in Fishers.
- Fishers has a higher percentage of White residents at 80% compared to 69% in Martinsburg.
- The Asian population is larger in Fishers at 8% compared to 1% in Martinsburg.
- Martinsburg has a higher percentage of Hispanic residents at 6%, compared to 3% in Fishers.
- The percentage of residents identifying as two or more races is higher in Martinsburg at 11%, compared to 4% in Fishers.
- The percentage of American Indian residents is the same in both Fishers and Martinsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fishers | Martinsburg |
|---|---|---|
| Mental Health Not Good | 12.5% | 21.8% |
| Physical Health Not Good | 7.1% | 15.8% |
| Depression | 22.2% | 27.7% |
| Smoking | 9.4% | 24.7% |
| Binge Drinking | 17.0% | 12.6% |
| Obesity | 27.8% | 43.0% |
| Disability Percentage | 7.0% | 17.0% |
Health Statistics Comparison: Fishers vs Martinsburg
- In Martinsburg, a higher percentage report poor mental health at 21.8% compared to 12.5% in Fishers.
- Higher depression rates are seen in Martinsburg at 27.7% versus 22.2% in Fishers.
- Martinsburg has a higher smoking rate at 24.7% compared to 9.4% in Fishers.
- Binge drinking is more common in Fishers at 17.0% compared to 12.6% in Martinsburg.
- Martinsburg has higher obesity rates at 43.0% compared to 27.8% in Fishers.
- There is a higher percentage of disabled individuals in Martinsburg at 17.0% compared to 7.0% in Fishers.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fishers | Martinsburg |
|---|---|---|
| No Schooling | 0.4% (418) | 0.8% (144) |
| High School Diploma | 6.5% (6,652) | 16.7% (3,171) |
| Less than High School | 2.0% (2,037) | 13.5% (2,556) |
| Bachelor's Degree and Higher | 41.2% (42,051) | 16.2% (3,077) |
Education Levels Comparison: Fishers vs Martinsburg
- In Martinsburg, a larger percentage of residents lack formal schooling at 0.8% compared to 0.4% in Fishers.
- In Martinsburg, the rate of residents with high school diplomas is higher at 16.7% compared to 6.5% in Fishers.
- The percentage of residents with less than a high school education is higher in Martinsburg at 13.5%, compared to 2.0% in Fishers.
- A higher percentage of residents in Fishers hold a bachelor's degree or higher at 41.2% 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.