Demographics details for Moundsville, WV vs Conneaut, OH
Population Overview
Compare main population characteristics in Moundsville, WV vs Conneaut, OH.
| Data | Moundsville | Conneaut |
|---|---|---|
| Population | 7,829 | 12,400 |
| Median Age | 47.2 years | 40.0 years |
| Median Income | $46,070 | $55,708 |
| Married Families | 42.0% | 31.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 5.0 | 5.0 |
Population Comparison: Moundsville vs Conneaut
- The population in Conneaut is higher at 12,400, compared to 7,829 in Moundsville.
- Residents in Moundsville have a higher median age of 47.2 years compared to 40.0 years in Conneaut.
- Conneaut has a higher median income of $55,708, compared to $46,070 in Moundsville.
- A higher percentage of married families is found in Moundsville at 42.0% compared to 31.0% in Conneaut.
- Moundsville has a higher poverty level at 15% compared to 10% in Conneaut.
- The unemployment rate is the same in both Moundsville and Conneaut at 5.0%.
Demographics
Demographics Moundsville vs Conneaut provide insight into the diversity of the communities to compare.
| Demographic | Moundsville | Conneaut |
|---|---|---|
| Black | Data is updating | 7 |
| White | 94 | 86 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 2 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Moundsville vs Conneaut
- In Conneaut, the percentage of Black residents is higher at 7% compared to 0% in Moundsville.
- Moundsville has a higher percentage of White residents at 94% compared to 86% in Conneaut.
- In Conneaut, the Asian population stands at 1%, greater than 0% in Moundsville.
- The percentage of Hispanic residents is the same in both Moundsville and Conneaut at 2%.
- Both Moundsville and Conneaut 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 Conneaut at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moundsville | Conneaut |
|---|---|---|
| Mental Health Not Good | 20.9% | 18.4% |
| Physical Health Not Good | 15.3% | 14.1% |
| Depression | 27.6% | 25.4% |
| Smoking | 23.4% | 27.0% |
| Binge Drinking | 14.5% | 18.4% |
| Obesity | 41.7% | 45.5% |
| Disability Percentage | 22.0% | 17.0% |
Health Statistics Comparison: Moundsville vs Conneaut
- More residents in Moundsville report poor mental health at 20.9% compared to 18.4% in Conneaut.
- Depression is more prevalent in Moundsville at 27.6% compared to 25.4% in Conneaut.
- Conneaut has a higher smoking rate at 27.0% compared to 23.4% in Moundsville.
- More residents engage in binge drinking in Conneaut at 18.4% compared to 14.5% in Moundsville.
- Conneaut has higher obesity rates at 45.5% compared to 41.7% in Moundsville.
- Disability percentages are higher in Moundsville at 22.0% compared to 17.0% in Conneaut.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Moundsville | Conneaut |
|---|---|---|
| No Schooling | 0.4% (28) | 0.4% (50) |
| High School Diploma | 33.6% (2,631) | 26.8% (3,319) |
| Less than High School | 12.6% (989) | 17.4% (2,157) |
| Bachelor's Degree and Higher | 9.8% (767) | 11.4% (1,411) |
Education Levels Comparison: Moundsville vs Conneaut
- The percentage of residents with no formal schooling is the same in both Moundsville and Conneaut at 0.4%.
- A higher percentage of residents in Moundsville hold a high school diploma at 33.6% compared to 26.8% in Conneaut.
- The percentage of residents with less than a high school education is higher in Conneaut at 17.4%, compared to 12.6% in Moundsville.
- In Conneaut, a larger share of residents have a bachelor's degree or higher at 11.4% 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.