Demographics details for Moundsville, WV vs Gray, ME
Population Overview
Compare main population characteristics in Moundsville, WV vs Gray, ME.
| Data | Moundsville | Gray |
|---|---|---|
| Population | 7,829 | 7,761 |
| Median Age | 47.2 years | 43.0 years |
| Median Income | $46,070 | $81,712 |
| Married Families | 42.0% | 60.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 5.0 | 2.1 |
Population Comparison: Moundsville vs Gray
- In Moundsville, the population is higher at 7,829, compared to 7,761 in Gray.
- Residents in Moundsville have a higher median age of 47.2 years compared to 43.0 years in Gray.
- Gray has a higher median income of $81,712, compared to $46,070 in Moundsville.
- In Gray, the percentage of married families is higher at 60.0%, compared to 42.0% in Moundsville.
- Moundsville has a higher poverty level at 15% compared to 5% in Gray.
- The unemployment rate in Moundsville is higher at 5.0%, compared to 2.1% in Gray.
Demographics
Demographics Moundsville vs Gray provide insight into the diversity of the communities to compare.
| Demographic | Moundsville | Gray |
|---|---|---|
| Black | Data is updating | 1 |
| White | 94 | 95 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 3 |
| Two or More Races | 4 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Moundsville vs Gray
- In Gray, the percentage of Black residents is higher at 1% compared to 0% in Moundsville.
- The percentage of White residents is higher in Gray at 95% compared to 94% in Moundsville.
- In Gray, the Asian population stands at 1%, greater than 0% in Moundsville.
- Gray has a higher percentage of Hispanic residents at 3%, compared to 2% in Moundsville.
- More residents identify as two or more races in Moundsville at 4% compared to 2% in Gray.
- The percentage of American Indian residents is the same in both Moundsville and Gray at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moundsville | Gray |
|---|---|---|
| Mental Health Not Good | 20.9% | Data is updating% |
| Physical Health Not Good | 15.3% | Data is updating% |
| Depression | 27.6% | Data is updating% |
| Smoking | 23.4% | Data is updating% |
| Binge Drinking | 14.5% | Data is updating% |
| Obesity | 41.7% | Data is updating% |
| Disability Percentage | 22.0% | Data is updating% |
Health Statistics Comparison: Moundsville vs Gray
- More residents in Moundsville report poor mental health at 20.9% compared to 0.0% in Gray.
- Depression is more prevalent in Moundsville at 27.6% compared to 0.0% in Gray.
- Smoking is more prevalent in Moundsville at 23.4% compared to 0.0% in Gray.
- Binge drinking is more common in Moundsville at 14.5% compared to 0.0% in Gray.
- Obesity rates are higher in Moundsville at 41.7% compared to 0.0% in Gray.
- Disability percentages are higher in Moundsville at 22.0% compared to 0.0% in Gray.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Moundsville | Gray |
|---|---|---|
| No Schooling | 0.4% (28) | 0.0% (Data is updating) |
| High School Diploma | 33.6% (2,631) | 0.0% (Data is updating) |
| Less than High School | 12.6% (989) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 9.8% (767) | 0.0% (Data is updating) |
Education Levels Comparison: Moundsville vs Gray
- A higher percentage of residents in Moundsville have no formal schooling at 0.4% compared to 0.0% in Gray.
- A higher percentage of residents in Moundsville hold a high school diploma at 33.6% compared to 0.0% in Gray.
- More residents in Moundsville have less than a high school education at 12.6% compared to 0.0% in Gray.
- A higher percentage of residents in Moundsville hold a bachelor's degree or higher at 9.8% compared to 0.0% in Gray.
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.