Demographics details for Markle, IN vs Martinsburg, WV
Population Overview
Compare main population characteristics in Markle, IN vs Martinsburg, WV.
| Data | Markle | Martinsburg |
|---|---|---|
| Population | 1,080 | 18,953 |
| Median Age | 44.5 years | 36.4 years |
| Median Income | $59,500 | $55,240 |
| Married Families | 44.0% | 29.0% |
| Poverty Level | 8% | 8% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Markle vs Martinsburg
- The population in Martinsburg is higher at 18,953, compared to 1,080 in Markle.
- Residents in Markle have a higher median age of 44.5 years compared to 36.4 years in Martinsburg.
- Markle has a higher median income of $59,500 compared to $55,240 in Martinsburg.
- A higher percentage of married families is found in Markle at 44.0% compared to 29.0% in Martinsburg.
- The poverty level is identical in both Markle and Martinsburg at 8%.
- The unemployment rate is the same in both Markle and Martinsburg at 4.5%.
Demographics
Demographics Markle vs Martinsburg provide insight into the diversity of the communities to compare.
| Demographic | Markle | Martinsburg |
|---|---|---|
| Black | 1 | 13 |
| White | 94 | 69 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 6 |
| Two or More Races | 2 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Markle vs Martinsburg
- In Martinsburg, the percentage of Black residents is higher at 13% compared to 1% in Markle.
- Markle has a higher percentage of White residents at 94% compared to 69% in Martinsburg.
- In Martinsburg, the Asian population stands at 1%, greater than 0% in Markle.
- Martinsburg has a higher percentage of Hispanic residents at 6%, compared to 3% in Markle.
- The percentage of residents identifying as two or more races is higher in Martinsburg at 11%, compared to 2% in Markle.
- The percentage of American Indian residents is the same in both Markle and Martinsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Markle | Martinsburg |
|---|---|---|
| Mental Health Not Good | 16.4% | 21.8% |
| Physical Health Not Good | 10.7% | 15.8% |
| Depression | 26.3% | 27.7% |
| Smoking | 18.0% | 24.7% |
| Binge Drinking | 17.6% | 12.6% |
| Obesity | 36.7% | 43.0% |
| Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: Markle vs Martinsburg
- In Martinsburg, a higher percentage report poor mental health at 21.8% compared to 16.4% in Markle.
- Higher depression rates are seen in Martinsburg at 27.7% versus 26.3% in Markle.
- Martinsburg has a higher smoking rate at 24.7% compared to 18.0% in Markle.
- Binge drinking is more common in Markle at 17.6% compared to 12.6% in Martinsburg.
- Martinsburg has higher obesity rates at 43.0% compared to 36.7% in Markle.
- There is a higher percentage of disabled individuals in Martinsburg at 17.0% compared to 12.0% in Markle.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Markle | Martinsburg |
|---|---|---|
| No Schooling | 0.3% (3) | 0.8% (144) |
| High School Diploma | 38.3% (414) | 16.7% (3,171) |
| Less than High School | 19.8% (214) | 13.5% (2,556) |
| Bachelor's Degree and Higher | 14.4% (155) | 16.2% (3,077) |
Education Levels Comparison: Markle vs Martinsburg
- In Martinsburg, a larger percentage of residents lack formal schooling at 0.8% compared to 0.3% in Markle.
- A higher percentage of residents in Markle hold a high school diploma at 38.3% compared to 16.7% in Martinsburg.
- More residents in Markle have less than a high school education at 19.8% compared to 13.5% in Martinsburg.
- In Martinsburg, a larger share of residents have a bachelor's degree or higher at 16.2% compared to 14.4% in Markle.
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.