Demographics details for Moundsville, WV vs Freeport, MN
Population Overview
Compare main population characteristics in Moundsville, WV vs Freeport, MN.
Data | Moundsville | Freeport |
---|---|---|
Population | 7,829 | 677 |
Median Age | 47.2 years | 29.9 years |
Median Income | $46,070 | $91,250 |
Married Families | 42.0% | 53.0% |
Poverty Level | 15% | 5% |
Unemployment Rate | 5.0 | 2.5 |
Population Comparison: Moundsville vs Freeport
- In Moundsville, the population is higher at 7,829, compared to 677 in Freeport.
- Residents in Moundsville have a higher median age of 47.2 years compared to 29.9 years in Freeport.
- Freeport has a higher median income of $91,250, compared to $46,070 in Moundsville.
- In Freeport, the percentage of married families is higher at 53.0%, compared to 42.0% in Moundsville.
- Moundsville has a higher poverty level at 15% compared to 5% in Freeport.
- The unemployment rate in Moundsville is higher at 5.0%, compared to 2.5% in Freeport.
Demographics
Demographics Moundsville vs Freeport provide insight into the diversity of the communities to compare.
Demographic | Moundsville | Freeport |
---|---|---|
Black | Data is updating | 2 |
White | 94 | 82 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 12 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Moundsville vs Freeport
- In Freeport, the percentage of Black residents is higher at 2% compared to 0% in Moundsville.
- Moundsville has a higher percentage of White residents at 94% compared to 82% in Freeport.
- Both Moundsville and Freeport have the same percentage of Asian residents at 0%.
- Freeport has a higher percentage of Hispanic residents at 12%, compared to 2% in Moundsville.
- Both Moundsville and Freeport have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Moundsville and Freeport at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Moundsville | Freeport |
---|---|---|
Mental Health Not Good | 20.9% | 15.0% |
Physical Health Not Good | 15.3% | 9.3% |
Depression | 27.6% | 23.7% |
Smoking | 23.4% | 17.2% |
Binge Drinking | 14.5% | 23.3% |
Obesity | 41.7% | 39.9% |
Disability Percentage | 22.0% | 6.0% |
Health Statistics Comparison: Moundsville vs Freeport
- More residents in Moundsville report poor mental health at 20.9% compared to 15.0% in Freeport.
- Depression is more prevalent in Moundsville at 27.6% compared to 23.7% in Freeport.
- Smoking is more prevalent in Moundsville at 23.4% compared to 17.2% in Freeport.
- More residents engage in binge drinking in Freeport at 23.3% compared to 14.5% in Moundsville.
- Obesity rates are higher in Moundsville at 41.7% compared to 39.9% in Freeport.
- Disability percentages are higher in Moundsville at 22.0% compared to 6.0% in Freeport.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Moundsville | Freeport |
---|---|---|
No Schooling | 0.4% (28) | 0.3% (2) |
High School Diploma | 33.6% (2,631) | 19.9% (135) |
Less than High School | 12.6% (989) | 9.2% (62) |
Bachelor's Degree and Higher | 9.8% (767) | 17.4% (118) |
Education Levels Comparison: Moundsville vs Freeport
- A higher percentage of residents in Moundsville have no formal schooling at 0.4% compared to 0.3% in Freeport.
- A higher percentage of residents in Moundsville hold a high school diploma at 33.6% compared to 19.9% in Freeport.
- More residents in Moundsville have less than a high school education at 12.6% compared to 9.2% in Freeport.
- In Freeport, a larger share of residents have a bachelor's degree or higher at 17.4% 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.