Demographics details for Moundsville, WV vs Beebe, AR
Population Overview
Compare main population characteristics in Moundsville, WV vs Beebe, AR.
| Data | Moundsville | Beebe |
|---|---|---|
| Population | 7,829 | 8,718 |
| Median Age | 47.2 years | 34.5 years |
| Median Income | $46,070 | $55,072 |
| Married Families | 42.0% | 35.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Moundsville vs Beebe
- The population in Beebe is higher at 8,718, compared to 7,829 in Moundsville.
- Residents in Moundsville have a higher median age of 47.2 years compared to 34.5 years in Beebe.
- Beebe has a higher median income of $55,072, compared to $46,070 in Moundsville.
- A higher percentage of married families is found in Moundsville at 42.0% compared to 35.0% in Beebe.
- Moundsville has a higher poverty level at 15% compared to 12% in Beebe.
- The unemployment rate in Moundsville is higher at 5.0%, compared to 3.2% in Beebe.
Demographics
Demographics Moundsville vs Beebe provide insight into the diversity of the communities to compare.
| Demographic | Moundsville | Beebe |
|---|---|---|
| Black | Data is updating | 2 |
| White | 94 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 3 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Moundsville vs Beebe
- In Beebe, 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 91% in Beebe.
- Both Moundsville and Beebe have the same percentage of Asian residents at 0%.
- Beebe has a higher percentage of Hispanic residents at 3%, compared to 2% in Moundsville.
- Both Moundsville and Beebe 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 Beebe at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moundsville | Beebe |
|---|---|---|
| Mental Health Not Good | 20.9% | 18.5% |
| Physical Health Not Good | 15.3% | 12.9% |
| Depression | 27.6% | 26.1% |
| Smoking | 23.4% | 21.0% |
| Binge Drinking | 14.5% | 15.1% |
| Obesity | 41.7% | 35.8% |
| Disability Percentage | 22.0% | 13.0% |
Health Statistics Comparison: Moundsville vs Beebe
- More residents in Moundsville report poor mental health at 20.9% compared to 18.5% in Beebe.
- Depression is more prevalent in Moundsville at 27.6% compared to 26.1% in Beebe.
- Smoking is more prevalent in Moundsville at 23.4% compared to 21.0% in Beebe.
- More residents engage in binge drinking in Beebe at 15.1% compared to 14.5% in Moundsville.
- Obesity rates are higher in Moundsville at 41.7% compared to 35.8% in Beebe.
- Disability percentages are higher in Moundsville at 22.0% compared to 13.0% in Beebe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Moundsville | Beebe |
|---|---|---|
| No Schooling | 0.4% (28) | 1.6% (137) |
| High School Diploma | 33.6% (2,631) | 14.2% (1,239) |
| Less than High School | 12.6% (989) | 14.5% (1,268) |
| Bachelor's Degree and Higher | 9.8% (767) | 12.3% (1,076) |
Education Levels Comparison: Moundsville vs Beebe
- In Beebe, a larger percentage of residents lack formal schooling at 1.6% compared to 0.4% in Moundsville.
- A higher percentage of residents in Moundsville hold a high school diploma at 33.6% compared to 14.2% in Beebe.
- The percentage of residents with less than a high school education is higher in Beebe at 14.5%, compared to 12.6% in Moundsville.
- In Beebe, a larger share of residents have a bachelor's degree or higher at 12.3% 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.