Demographics details for Rayland, OH vs Martinsburg, WV
Population Overview
Compare main population characteristics in Rayland, OH vs Martinsburg, WV.
| Data | Rayland | Martinsburg |
|---|---|---|
| Population | 384 | 18,953 |
| Median Age | 48.5 years | 36.4 years |
| Median Income | $56,875 | $55,240 |
| Married Families | 46.0% | 29.0% |
| Poverty Level | 16% | 8% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Rayland vs Martinsburg
- The population in Martinsburg is higher at 18,953, compared to 384 in Rayland.
- Residents in Rayland have a higher median age of 48.5 years compared to 36.4 years in Martinsburg.
- Rayland has a higher median income of $56,875 compared to $55,240 in Martinsburg.
- A higher percentage of married families is found in Rayland at 46.0% compared to 29.0% in Martinsburg.
- Rayland has a higher poverty level at 16% compared to 8% in Martinsburg.
- The unemployment rate is the same in both Rayland and Martinsburg at 4.5%.
Demographics
Demographics Rayland vs Martinsburg provide insight into the diversity of the communities to compare.
| Demographic | Rayland | Martinsburg |
|---|---|---|
| Black | Data is updating | 13 |
| White | 98 | 69 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 6 |
| Two or More Races | 2 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rayland vs Martinsburg
- In Martinsburg, the percentage of Black residents is higher at 13% compared to 0% in Rayland.
- Rayland has a higher percentage of White residents at 98% compared to 69% in Martinsburg.
- In Martinsburg, the Asian population stands at 1%, greater than 0% in Rayland.
- Martinsburg has a higher percentage of Hispanic residents at 6%, compared to 0% in Rayland.
- The percentage of residents identifying as two or more races is higher in Martinsburg at 11%, compared to 2% in Rayland.
- The percentage of American Indian residents is the same in both Rayland and Martinsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rayland | Martinsburg |
|---|---|---|
| Mental Health Not Good | 19.8% | 21.8% |
| Physical Health Not Good | 13.6% | 15.8% |
| Depression | 25.8% | 27.7% |
| Smoking | 25.7% | 24.7% |
| Binge Drinking | 18.0% | 12.6% |
| Obesity | 41.8% | 43.0% |
| Disability Percentage | 24.0% | 17.0% |
Health Statistics Comparison: Rayland vs Martinsburg
- In Martinsburg, a higher percentage report poor mental health at 21.8% compared to 19.8% in Rayland.
- Higher depression rates are seen in Martinsburg at 27.7% versus 25.8% in Rayland.
- Smoking is more prevalent in Rayland at 25.7% compared to 24.7% in Martinsburg.
- Binge drinking is more common in Rayland at 18.0% compared to 12.6% in Martinsburg.
- Martinsburg has higher obesity rates at 43.0% compared to 41.8% in Rayland.
- Disability percentages are higher in Rayland at 24.0% compared to 17.0% in Martinsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rayland | Martinsburg |
|---|---|---|
| No Schooling | 1.0% (4) | 0.8% (144) |
| High School Diploma | 35.4% (136) | 16.7% (3,171) |
| Less than High School | 9.9% (38) | 13.5% (2,556) |
| Bachelor's Degree and Higher | 7.3% (28) | 16.2% (3,077) |
Education Levels Comparison: Rayland vs Martinsburg
- A higher percentage of residents in Rayland have no formal schooling at 1.0% compared to 0.8% in Martinsburg.
- A higher percentage of residents in Rayland hold a high school diploma at 35.4% compared to 16.7% in Martinsburg.
- The percentage of residents with less than a high school education is higher in Martinsburg at 13.5%, compared to 9.9% in Rayland.
- In Martinsburg, a larger share of residents have a bachelor's degree or higher at 16.2% compared to 7.3% in Rayland.
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.