Demographics details for Bluefield, WV vs Chapman, KS
Population Overview
Compare main population characteristics in Bluefield, WV vs Chapman, KS.
| Data | Bluefield | Chapman |
|---|---|---|
| Population | 9,408 | 1,371 |
| Median Age | 43.9 years | 41.4 years |
| Median Income | $45,854 | $66,964 |
| Married Families | 36.0% | 33.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 3.1 | 3.1 |
Population Comparison: Bluefield vs Chapman
- In Bluefield, the population is higher at 9,408, compared to 1,371 in Chapman.
- Residents in Bluefield have a higher median age of 43.9 years compared to 41.4 years in Chapman.
- Chapman has a higher median income of $66,964, compared to $45,854 in Bluefield.
- A higher percentage of married families is found in Bluefield at 36.0% compared to 33.0% in Chapman.
- Bluefield has a higher poverty level at 12% compared to 8% in Chapman.
- The unemployment rate is the same in both Bluefield and Chapman at 3.1%.
Demographics
Demographics Bluefield vs Chapman provide insight into the diversity of the communities to compare.
| Demographic | Bluefield | Chapman |
|---|---|---|
| Black | 23 | Data is updating |
| White | 66 | 81 |
| Asian | Data is updating | 3 |
| Hispanic | 3 | 7 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Bluefield vs Chapman
- A higher percentage of Black residents are in Bluefield at 23% compared to 0% in Chapman.
- The percentage of White residents is higher in Chapman at 81% compared to 66% in Bluefield.
- In Chapman, the Asian population stands at 3%, greater than 0% in Bluefield.
- Chapman has a higher percentage of Hispanic residents at 7%, compared to 3% in Bluefield.
- More residents identify as two or more races in Bluefield at 8% compared to 7% in Chapman.
- In Chapman, the percentage of American Indian residents is higher at 2%, compared to 0% in Bluefield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bluefield | Chapman |
|---|---|---|
| Mental Health Not Good | 22.1% | 15.7% |
| Physical Health Not Good | 15.9% | 9.5% |
| Depression | 28.4% | 21.4% |
| Smoking | 21.4% | 16.6% |
| Binge Drinking | 12.0% | 20.2% |
| Obesity | 46.3% | 37.3% |
| Disability Percentage | 27.0% | 14.0% |
Health Statistics Comparison: Bluefield vs Chapman
- More residents in Bluefield report poor mental health at 22.1% compared to 15.7% in Chapman.
- Depression is more prevalent in Bluefield at 28.4% compared to 21.4% in Chapman.
- Smoking is more prevalent in Bluefield at 21.4% compared to 16.6% in Chapman.
- More residents engage in binge drinking in Chapman at 20.2% compared to 12.0% in Bluefield.
- Obesity rates are higher in Bluefield at 46.3% compared to 37.3% in Chapman.
- Disability percentages are higher in Bluefield at 27.0% compared to 14.0% in Chapman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bluefield | Chapman |
|---|---|---|
| No Schooling | 0.2% (21) | 0.0% (Data is updating) |
| High School Diploma | 19.0% (1,788) | 12.3% (168) |
| Less than High School | 16.0% (1,505) | 5.1% (70) |
| Bachelor's Degree and Higher | 19.4% (1,826) | 15.5% (212) |
Education Levels Comparison: Bluefield vs Chapman
- A higher percentage of residents in Bluefield have no formal schooling at 0.2% compared to 0.0% in Chapman.
- A higher percentage of residents in Bluefield hold a high school diploma at 19.0% compared to 12.3% in Chapman.
- More residents in Bluefield have less than a high school education at 16.0% compared to 5.1% in Chapman.
- A higher percentage of residents in Bluefield hold a bachelor's degree or higher at 19.4% compared to 15.5% in Chapman.
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.