Demographics details for Manhattan, MT vs Moundsville, WV
Population Overview
Compare main population characteristics in Manhattan, MT vs Moundsville, WV.
Data | Manhattan | Moundsville |
---|---|---|
Population | 2,120 | 7,829 |
Median Age | 39.6 years | 47.2 years |
Median Income | $57,045 | $46,070 |
Married Families | 37.0% | 42.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 4.2 | 5.0 |
Population Comparison: Manhattan vs Moundsville
- The population in Moundsville is higher at 7,829, compared to 2,120 in Manhattan.
- The median age in Moundsville is higher at 47.2 years, compared to 39.6 years in Manhattan.
- Manhattan has a higher median income of $57,045 compared to $46,070 in Moundsville.
- In Moundsville, the percentage of married families is higher at 42.0%, compared to 37.0% in Manhattan.
- The poverty level is higher in Moundsville at 15%, compared to 10% in Manhattan.
- Moundsville has a higher unemployment rate at 5.0% compared to 4.2% in Manhattan.
Demographics
Demographics Manhattan vs Moundsville provide insight into the diversity of the communities to compare.
Demographic | Manhattan | Moundsville |
---|---|---|
Black | Data is updating | Data is updating |
White | 94 | 94 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 2 |
Two or More Races | 3 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Manhattan vs Moundsville
- The percentage of Black residents is the same in both Manhattan and Moundsville at 0%.
- The percentage of White residents is the same in both Manhattan and Moundsville at 94%.
- Both Manhattan and Moundsville have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Manhattan and Moundsville at 2%.
- The percentage of residents identifying as two or more races is higher in Moundsville at 4%, compared to 3% in Manhattan.
- A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Moundsville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Manhattan | Moundsville |
---|---|---|
Mental Health Not Good | 14.4% | 20.9% |
Physical Health Not Good | 9.0% | 15.3% |
Depression | 22.7% | 27.6% |
Smoking | 13.5% | 23.4% |
Binge Drinking | 24.2% | 14.5% |
Obesity | 24.2% | 41.7% |
Disability Percentage | 12.0% | 22.0% |
Health Statistics Comparison: Manhattan vs Moundsville
- In Moundsville, a higher percentage report poor mental health at 20.9% compared to 14.4% in Manhattan.
- Higher depression rates are seen in Moundsville at 27.6% versus 22.7% in Manhattan.
- Moundsville has a higher smoking rate at 23.4% compared to 13.5% in Manhattan.
- Binge drinking is more common in Manhattan at 24.2% compared to 14.5% in Moundsville.
- Moundsville has higher obesity rates at 41.7% compared to 24.2% in Manhattan.
- There is a higher percentage of disabled individuals in Moundsville at 22.0% compared to 12.0% in Manhattan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Manhattan | Moundsville |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (28) |
High School Diploma | 15.3% (325) | 33.6% (2,631) |
Less than High School | 0.6% (12) | 12.6% (989) |
Bachelor's Degree and Higher | 18.5% (392) | 9.8% (767) |
Education Levels Comparison: Manhattan vs Moundsville
- In Moundsville, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Manhattan.
- In Moundsville, the rate of residents with high school diplomas is higher at 33.6% compared to 15.3% in Manhattan.
- The percentage of residents with less than a high school education is higher in Moundsville at 12.6%, compared to 0.6% in Manhattan.
- A higher percentage of residents in Manhattan hold a bachelor's degree or higher at 18.5% 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.