Demographics details for Glenwood, AR vs Bluefield, WV
Population Overview
Compare main population characteristics in Glenwood, AR vs Bluefield, WV.
| Data | Glenwood | Bluefield |
|---|---|---|
| Population | 2,064 | 9,408 |
| Median Age | 45.3 years | 43.9 years |
| Median Income | $33,958 | $45,854 |
| Married Families | 31.0% | 36.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 5.1 | 3.1 |
Population Comparison: Glenwood vs Bluefield
- The population in Bluefield is higher at 9,408, compared to 2,064 in Glenwood.
- Residents in Glenwood have a higher median age of 45.3 years compared to 43.9 years in Bluefield.
- Bluefield has a higher median income of $45,854, compared to $33,958 in Glenwood.
- In Bluefield, the percentage of married families is higher at 36.0%, compared to 31.0% in Glenwood.
- Glenwood has a higher poverty level at 15% compared to 12% in Bluefield.
- The unemployment rate in Glenwood is higher at 5.1%, compared to 3.1% in Bluefield.
Demographics
Demographics Glenwood vs Bluefield provide insight into the diversity of the communities to compare.
| Demographic | Glenwood | Bluefield |
|---|---|---|
| Black | 2 | 23 |
| White | 75 | 66 |
| Asian | Data is updating | Data is updating |
| Hispanic | 21 | 3 |
| Two or More Races | 1 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Glenwood vs Bluefield
- In Bluefield, the percentage of Black residents is higher at 23% compared to 2% in Glenwood.
- Glenwood has a higher percentage of White residents at 75% compared to 66% in Bluefield.
- Both Glenwood and Bluefield have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Glenwood at 21% compared to 3% in Bluefield.
- The percentage of residents identifying as two or more races is higher in Bluefield at 8%, compared to 1% in Glenwood.
- A greater percentage of American Indian residents live in Glenwood at 1% compared to 0% in Bluefield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Glenwood | Bluefield |
|---|---|---|
| Mental Health Not Good | 19.2% | 22.1% |
| Physical Health Not Good | 14.4% | 15.9% |
| Depression | 26.9% | 28.4% |
| Smoking | 22.1% | 21.4% |
| Binge Drinking | 14.9% | 12.0% |
| Obesity | 38.0% | 46.3% |
| Disability Percentage | 22.0% | 27.0% |
Health Statistics Comparison: Glenwood vs Bluefield
- In Bluefield, a higher percentage report poor mental health at 22.1% compared to 19.2% in Glenwood.
- Higher depression rates are seen in Bluefield at 28.4% versus 26.9% in Glenwood.
- Smoking is more prevalent in Glenwood at 22.1% compared to 21.4% in Bluefield.
- Binge drinking is more common in Glenwood at 14.9% compared to 12.0% in Bluefield.
- Bluefield has higher obesity rates at 46.3% compared to 38.0% in Glenwood.
- There is a higher percentage of disabled individuals in Bluefield at 27.0% compared to 22.0% in Glenwood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Glenwood | Bluefield |
|---|---|---|
| No Schooling | 6.9% (142) | 0.2% (21) |
| High School Diploma | 19.3% (399) | 19.0% (1,788) |
| Less than High School | 21.3% (440) | 16.0% (1,505) |
| Bachelor's Degree and Higher | 10.6% (219) | 19.4% (1,826) |
Education Levels Comparison: Glenwood vs Bluefield
- A higher percentage of residents in Glenwood have no formal schooling at 6.9% compared to 0.2% in Bluefield.
- A higher percentage of residents in Glenwood hold a high school diploma at 19.3% compared to 19.0% in Bluefield.
- More residents in Glenwood have less than a high school education at 21.3% compared to 16.0% in Bluefield.
- In Bluefield, a larger share of residents have a bachelor's degree or higher at 19.4% compared to 10.6% in Glenwood.
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.