Demographics details for Martinsburg, WV vs Picayune, MS
Population Overview
Compare main population characteristics in Martinsburg, WV vs Picayune, MS.
| Data | Martinsburg | Picayune |
|---|---|---|
| Population | 18,953 | 11,826 |
| Median Age | 36.4 years | 38.3 years |
| Median Income | $55,240 | $35,649 |
| Married Families | 29.0% | 27.0% |
| Poverty Level | 8% | 21% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Martinsburg vs Picayune
- In Martinsburg, the population is higher at 18,953, compared to 11,826 in Picayune.
- The median age in Picayune is higher at 38.3 years, compared to 36.4 years in Martinsburg.
- Martinsburg has a higher median income of $55,240 compared to $35,649 in Picayune.
- A higher percentage of married families is found in Martinsburg at 29.0% compared to 27.0% in Picayune.
- The poverty level is higher in Picayune at 21%, compared to 8% in Martinsburg.
- The unemployment rate is the same in both Martinsburg and Picayune at 4.5%.
Demographics
Demographics Martinsburg vs Picayune provide insight into the diversity of the communities to compare.
| Demographic | Martinsburg | Picayune |
|---|---|---|
| Black | 13 | 38 |
| White | 69 | 55 |
| Asian | 1 | Data is updating |
| Hispanic | 6 | 2 |
| Two or More Races | 11 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Martinsburg vs Picayune
- In Picayune, the percentage of Black residents is higher at 38% compared to 13% in Martinsburg.
- Martinsburg has a higher percentage of White residents at 69% compared to 55% in Picayune.
- The Asian population is larger in Martinsburg at 1% compared to 0% in Picayune.
- The Hispanic community is larger in Martinsburg at 6% compared to 2% in Picayune.
- More residents identify as two or more races in Martinsburg at 11% compared to 5% in Picayune.
- The percentage of American Indian residents is the same in both Martinsburg and Picayune at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Martinsburg | Picayune |
|---|---|---|
| Mental Health Not Good | 21.8% | 18.4% |
| Physical Health Not Good | 15.8% | 14.3% |
| Depression | 27.7% | 24.0% |
| Smoking | 24.7% | 23.3% |
| Binge Drinking | 12.6% | 13.3% |
| Obesity | 43.0% | 44.0% |
| Disability Percentage | 17.0% | 21.0% |
Health Statistics Comparison: Martinsburg vs Picayune
- More residents in Martinsburg report poor mental health at 21.8% compared to 18.4% in Picayune.
- Depression is more prevalent in Martinsburg at 27.7% compared to 24.0% in Picayune.
- Smoking is more prevalent in Martinsburg at 24.7% compared to 23.3% in Picayune.
- More residents engage in binge drinking in Picayune at 13.3% compared to 12.6% in Martinsburg.
- Picayune has higher obesity rates at 44.0% compared to 43.0% in Martinsburg.
- There is a higher percentage of disabled individuals in Picayune at 21.0% 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 | Martinsburg | Picayune |
|---|---|---|
| No Schooling | 0.8% (144) | 0.6% (73) |
| High School Diploma | 16.7% (3,171) | 17.8% (2,108) |
| Less than High School | 13.5% (2,556) | 11.8% (1,392) |
| Bachelor's Degree and Higher | 16.2% (3,077) | 10.1% (1,200) |
Education Levels Comparison: Martinsburg vs Picayune
- A higher percentage of residents in Martinsburg have no formal schooling at 0.8% compared to 0.6% in Picayune.
- In Picayune, the rate of residents with high school diplomas is higher at 17.8% compared to 16.7% in Martinsburg.
- More residents in Martinsburg have less than a high school education at 13.5% compared to 11.8% in Picayune.
- A higher percentage of residents in Martinsburg hold a bachelor's degree or higher at 16.2% compared to 10.1% in Picayune.
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.