Demographics details for Bluefield, WV vs Pearl city, HI
Population Overview
Compare main population characteristics in Bluefield, WV vs Pearl city, HI.
| Data | Bluefield | Pearl city |
|---|---|---|
| Population | 9,408 | 46,812 |
| Median Age | 43.9 years | 44.2 years |
| Median Income | $45,854 | $116,938 |
| Married Families | 36.0% | 44.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 3.1 | 2.5 |
Population Comparison: Bluefield vs Pearl city
- The population in Pearl city is higher at 46,812, compared to 9,408 in Bluefield.
- The median age in Pearl city is higher at 44.2 years, compared to 43.9 years in Bluefield.
- Pearl city has a higher median income of $116,938, compared to $45,854 in Bluefield.
- In Pearl city, the percentage of married families is higher at 44.0%, compared to 36.0% in Bluefield.
- Bluefield has a higher poverty level at 12% compared to 7% in Pearl city.
- The unemployment rate in Bluefield is higher at 3.1%, compared to 2.5% in Pearl city.
Demographics
Demographics Bluefield vs Pearl city provide insight into the diversity of the communities to compare.
| Demographic | Bluefield | Pearl city |
|---|---|---|
| Black | 23 | 2 |
| White | 66 | 10 |
| Asian | Data is updating | 55 |
| Hispanic | 3 | 9 |
| Two or More Races | 8 | 24 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bluefield vs Pearl city
- A higher percentage of Black residents are in Bluefield at 23% compared to 2% in Pearl city.
- Bluefield has a higher percentage of White residents at 66% compared to 10% in Pearl city.
- In Pearl city, the Asian population stands at 55%, greater than 0% in Bluefield.
- Pearl city has a higher percentage of Hispanic residents at 9%, compared to 3% in Bluefield.
- The percentage of residents identifying as two or more races is higher in Pearl city at 24%, compared to 8% in Bluefield.
- The percentage of American Indian residents is the same in both Bluefield and Pearl city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bluefield | Pearl city |
|---|---|---|
| Mental Health Not Good | 22.1% | 12.1% |
| Physical Health Not Good | 15.9% | 7.2% |
| Depression | 28.4% | 11.1% |
| Smoking | 21.4% | 10.4% |
| Binge Drinking | 12.0% | 17.8% |
| Obesity | 46.3% | 22.3% |
| Disability Percentage | 27.0% | 13.0% |
Health Statistics Comparison: Bluefield vs Pearl city
- More residents in Bluefield report poor mental health at 22.1% compared to 12.1% in Pearl city.
- Depression is more prevalent in Bluefield at 28.4% compared to 11.1% in Pearl city.
- Smoking is more prevalent in Bluefield at 21.4% compared to 10.4% in Pearl city.
- More residents engage in binge drinking in Pearl city at 17.8% compared to 12.0% in Bluefield.
- Obesity rates are higher in Bluefield at 46.3% compared to 22.3% in Pearl city.
- Disability percentages are higher in Bluefield at 27.0% compared to 13.0% in Pearl city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bluefield | Pearl city |
|---|---|---|
| No Schooling | 0.2% (21) | 0.8% (356) |
| High School Diploma | 19.0% (1,788) | 16.9% (7,924) |
| Less than High School | 16.0% (1,505) | 4.2% (1,969) |
| Bachelor's Degree and Higher | 19.4% (1,826) | 27.0% (12,639) |
Education Levels Comparison: Bluefield vs Pearl city
- In Pearl city, a larger percentage of residents lack formal schooling at 0.8% compared to 0.2% in Bluefield.
- A higher percentage of residents in Bluefield hold a high school diploma at 19.0% compared to 16.9% in Pearl city.
- More residents in Bluefield have less than a high school education at 16.0% compared to 4.2% in Pearl city.
- In Pearl city, a larger share of residents have a bachelor's degree or higher at 27.0% 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.