Demographics details for Washington, ME vs Moundsville, WV
Population Overview
Compare main population characteristics in Washington, ME vs Moundsville, WV.
Data | Washington | Moundsville |
---|---|---|
Population | 31,437 | 7,829 |
Median Age | 48.6 years | 47.2 years |
Median Income | $51,669 | $46,070 |
Married Families | 41.0% | 42.0% |
Poverty Level | 8% | 15% |
Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Washington vs Moundsville
- In Washington, the population is higher at 31,437, compared to 7,829 in Moundsville.
- Residents in Washington have a higher median age of 48.6 years compared to 47.2 years in Moundsville.
- Washington has a higher median income of $51,669 compared to $46,070 in Moundsville.
- In Moundsville, the percentage of married families is higher at 42.0%, compared to 41.0% in Washington.
- The poverty level is higher in Moundsville at 15%, compared to 8% in Washington.
- Moundsville has a higher unemployment rate at 5.0% compared to 3.5% in Washington.
Demographics
Demographics Washington vs Moundsville provide insight into the diversity of the communities to compare.
Demographic | Washington | Moundsville |
---|---|---|
Black | 1 | Data is updating |
White | 87 | 94 |
Asian | Data is updating | Data is updating |
Hispanic | 3 | 2 |
Two or More Races | 4 | 4 |
American Indian | 5 | Data is updating |
Demographics Comparison: Washington vs Moundsville
- A higher percentage of Black residents are in Washington at 1% compared to 0% in Moundsville.
- The percentage of White residents is higher in Moundsville at 94% compared to 87% in Washington.
- Both Washington and Moundsville have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Washington at 3% compared to 2% in Moundsville.
- Both Washington and Moundsville have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Washington at 5% compared to 0% in Moundsville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Washington | Moundsville |
---|---|---|
Mental Health Not Good | 19.6% | 20.9% |
Physical Health Not Good | 12.4% | 15.3% |
Depression | 27.9% | 27.6% |
Smoking | 21.6% | 23.4% |
Binge Drinking | 17.8% | 14.5% |
Obesity | 37.0% | 41.7% |
Disability Percentage | 22.0% | 22.0% |
Health Statistics Comparison: Washington vs Moundsville
- In Moundsville, a higher percentage report poor mental health at 20.9% compared to 19.6% in Washington.
- Depression is more prevalent in Washington at 27.9% compared to 27.6% in Moundsville.
- Moundsville has a higher smoking rate at 23.4% compared to 21.6% in Washington.
- Binge drinking is more common in Washington at 17.8% compared to 14.5% in Moundsville.
- Moundsville has higher obesity rates at 41.7% compared to 37.0% in Washington.
- Disability percentages are the same in both Washington and Moundsville at 22.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Washington | Moundsville |
---|---|---|
No Schooling | 0.5% (169) | 0.4% (28) |
High School Diploma | 22.0% (6,922) | 33.6% (2,631) |
Less than High School | 12.7% (4,002) | 12.6% (989) |
Bachelor's Degree and Higher | 18.0% (5,667) | 9.8% (767) |
Education Levels Comparison: Washington vs Moundsville
- A higher percentage of residents in Washington have no formal schooling at 0.5% compared to 0.4% in Moundsville.
- In Moundsville, the rate of residents with high school diplomas is higher at 33.6% compared to 22.0% in Washington.
- More residents in Washington have less than a high school education at 12.7% compared to 12.6% in Moundsville.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 18.0% compared to 9.8% in Moundsville.
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.