Demographics details for Bluefield, WV vs Cottonwood, ID
Population Overview
Compare main population characteristics in Bluefield, WV vs Cottonwood, ID.
| Data | Bluefield | Cottonwood |
|---|---|---|
| Population | 9,408 | 876 |
| Median Age | 43.9 years | 33.1 years |
| Median Income | $45,854 | $55,147 |
| Married Families | 36.0% | 56.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.1 | 2.5 |
Population Comparison: Bluefield vs Cottonwood
- In Bluefield, the population is higher at 9,408, compared to 876 in Cottonwood.
- Residents in Bluefield have a higher median age of 43.9 years compared to 33.1 years in Cottonwood.
- Cottonwood has a higher median income of $55,147, compared to $45,854 in Bluefield.
- In Cottonwood, the percentage of married families is higher at 56.0%, compared to 36.0% in Bluefield.
- Bluefield has a higher poverty level at 12% compared to 0% in Cottonwood.
- The unemployment rate in Bluefield is higher at 3.1%, compared to 2.5% in Cottonwood.
Demographics
Demographics Bluefield vs Cottonwood provide insight into the diversity of the communities to compare.
| Demographic | Bluefield | Cottonwood |
|---|---|---|
| Black | 23 | Data is updating |
| White | 66 | 92 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 1 |
| Two or More Races | 8 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bluefield vs Cottonwood
- A higher percentage of Black residents are in Bluefield at 23% compared to 0% in Cottonwood.
- The percentage of White residents is higher in Cottonwood at 92% compared to 66% in Bluefield.
- Both Bluefield and Cottonwood have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Bluefield at 3% compared to 1% in Cottonwood.
- More residents identify as two or more races in Bluefield at 8% compared to 6% in Cottonwood.
- In Cottonwood, the percentage of American Indian residents is higher at 1%, compared to 0% in Bluefield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bluefield | Cottonwood |
|---|---|---|
| Mental Health Not Good | 22.1% | 15.8% |
| Physical Health Not Good | 15.9% | 11.9% |
| Depression | 28.4% | 22.3% |
| Smoking | 21.4% | 17.8% |
| Binge Drinking | 12.0% | 15.7% |
| Obesity | 46.3% | 31.2% |
| Disability Percentage | 27.0% | 18.0% |
Health Statistics Comparison: Bluefield vs Cottonwood
- More residents in Bluefield report poor mental health at 22.1% compared to 15.8% in Cottonwood.
- Depression is more prevalent in Bluefield at 28.4% compared to 22.3% in Cottonwood.
- Smoking is more prevalent in Bluefield at 21.4% compared to 17.8% in Cottonwood.
- More residents engage in binge drinking in Cottonwood at 15.7% compared to 12.0% in Bluefield.
- Obesity rates are higher in Bluefield at 46.3% compared to 31.2% in Cottonwood.
- Disability percentages are higher in Bluefield at 27.0% compared to 18.0% in Cottonwood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bluefield | Cottonwood |
|---|---|---|
| No Schooling | 0.2% (21) | 0.0% (Data is updating) |
| High School Diploma | 19.0% (1,788) | 28.3% (248) |
| Less than High School | 16.0% (1,505) | 19.6% (172) |
| Bachelor's Degree and Higher | 19.4% (1,826) | 20.2% (177) |
Education Levels Comparison: Bluefield vs Cottonwood
- A higher percentage of residents in Bluefield have no formal schooling at 0.2% compared to 0.0% in Cottonwood.
- In Cottonwood, the rate of residents with high school diplomas is higher at 28.3% compared to 19.0% in Bluefield.
- The percentage of residents with less than a high school education is higher in Cottonwood at 19.6%, compared to 16.0% in Bluefield.
- In Cottonwood, a larger share of residents have a bachelor's degree or higher at 20.2% compared to 19.4% in Bluefield.
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.