Demographics details for Bluefield, WV vs Palmer, MA
Population Overview
Compare main population characteristics in Bluefield, WV vs Palmer, MA.
Data | Bluefield | Palmer |
---|---|---|
Population | 9,408 | 3,900 |
Median Age | 43.9 years | 42.0 years |
Median Income | $45,854 | $65,000 |
Married Families | 36.0% | 55.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 3.1 | 3.5 |
Population Comparison: Bluefield vs Palmer
- In Bluefield, the population is higher at 9,408, compared to 3,900 in Palmer.
- Residents in Bluefield have a higher median age of 43.9 years compared to 42.0 years in Palmer.
- Palmer has a higher median income of $65,000, compared to $45,854 in Bluefield.
- In Palmer, the percentage of married families is higher at 55.0%, compared to 36.0% in Bluefield.
- Bluefield has a higher poverty level at 12% compared to 10% in Palmer.
- Palmer has a higher unemployment rate at 3.5% compared to 3.1% in Bluefield.
Demographics
Demographics Bluefield vs Palmer provide insight into the diversity of the communities to compare.
Demographic | Bluefield | Palmer |
---|---|---|
Black | 23 | 1 |
White | 66 | 96 |
Asian | Data is updating | 1 |
Hispanic | 3 | 2 |
Two or More Races | 8 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Bluefield vs Palmer
- A higher percentage of Black residents are in Bluefield at 23% compared to 1% in Palmer.
- The percentage of White residents is higher in Palmer at 96% compared to 66% in Bluefield.
- In Palmer, the Asian population stands at 1%, greater than 0% in Bluefield.
- The Hispanic community is larger in Bluefield at 3% compared to 2% in Palmer.
- More residents identify as two or more races in Bluefield at 8% compared to 0% in Palmer.
- The percentage of American Indian residents is the same in both Bluefield and Palmer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bluefield | Palmer |
---|---|---|
Mental Health Not Good | 22.1% | Data is updating% |
Physical Health Not Good | 15.9% | Data is updating% |
Depression | 28.4% | Data is updating% |
Smoking | 21.4% | Data is updating% |
Binge Drinking | 12.0% | Data is updating% |
Obesity | 46.3% | Data is updating% |
Disability Percentage | 27.0% | Data is updating% |
Health Statistics Comparison: Bluefield vs Palmer
- More residents in Bluefield report poor mental health at 22.1% compared to 0.0% in Palmer.
- Depression is more prevalent in Bluefield at 28.4% compared to 0.0% in Palmer.
- Smoking is more prevalent in Bluefield at 21.4% compared to 0.0% in Palmer.
- Binge drinking is more common in Bluefield at 12.0% compared to 0.0% in Palmer.
- Obesity rates are higher in Bluefield at 46.3% compared to 0.0% in Palmer.
- Disability percentages are higher in Bluefield at 27.0% compared to 0.0% in Palmer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bluefield | Palmer |
---|---|---|
No Schooling | 0.2% (21) | 0.0% (Data is updating) |
High School Diploma | 19.0% (1,788) | 0.0% (Data is updating) |
Less than High School | 16.0% (1,505) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 19.4% (1,826) | 0.0% (Data is updating) |
Education Levels Comparison: Bluefield vs Palmer
- A higher percentage of residents in Bluefield have no formal schooling at 0.2% compared to 0.0% in Palmer.
- A higher percentage of residents in Bluefield hold a high school diploma at 19.0% compared to 0.0% in Palmer.
- More residents in Bluefield have less than a high school education at 16.0% compared to 0.0% in Palmer.
- A higher percentage of residents in Bluefield hold a bachelor's degree or higher at 19.4% compared to 0.0% in Palmer.
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.