Demographics details for Palmer, MA vs Glen arm, MD
Population Overview
Compare main population characteristics in Palmer, MA vs Glen arm, MD.
| Data | Palmer | Glen arm |
|---|---|---|
| Population | 3,900 | 1,952 |
| Median Age | 42.0 years | 42.0 years |
| Median Income | $65,000 | $114,000 |
| Married Families | 55.0% | 500.0% |
| Poverty Level | 10% | 2% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Palmer vs Glen arm
- In Palmer, the population is higher at 3,900, compared to 1,952 in Glen arm.
- The median age is the same in both Palmer and Glen arm at 42.0 years.
- Glen arm has a higher median income of $114,000, compared to $65,000 in Palmer.
- In Glen arm, the percentage of married families is higher at 500.0%, compared to 55.0% in Palmer.
- Palmer has a higher poverty level at 10% compared to 2% in Glen arm.
- The unemployment rate is the same in both Palmer and Glen arm at 3.5%.
Demographics
Demographics Palmer vs Glen arm provide insight into the diversity of the communities to compare.
| Demographic | Palmer | Glen arm |
|---|---|---|
| Black | 1 | 10 |
| White | 96 | 80 |
| Asian | 1 | 5 |
| Hispanic | 2 | 3 |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Palmer vs Glen arm
- In Glen arm, the percentage of Black residents is higher at 10% compared to 1% in Palmer.
- Palmer has a higher percentage of White residents at 96% compared to 80% in Glen arm.
- In Glen arm, the Asian population stands at 5%, greater than 1% in Palmer.
- Glen arm has a higher percentage of Hispanic residents at 3%, compared to 2% in Palmer.
- The percentage of residents identifying as two or more races is higher in Glen arm at 2%, compared to 0% in Palmer.
- The percentage of American Indian residents is the same in both Palmer and Glen arm at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palmer | Glen arm |
|---|---|---|
| Mental Health Not Good | Data is updating% | Data is updating% |
| Physical Health Not Good | Data is updating% | Data is updating% |
| Depression | Data is updating% | Data is updating% |
| Smoking | Data is updating% | Data is updating% |
| Binge Drinking | Data is updating% | Data is updating% |
| Obesity | Data is updating% | Data is updating% |
| Disability Percentage | Data is updating% | Data is updating% |
Health Statistics Comparison: Palmer vs Glen arm
- Poor mental health levels are equal in both Palmer and Glen arm at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Palmer and Glen arm at 0.0%.
- Binge drinking rates are similar in both Palmer and Glen arm at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are the same in both Palmer and Glen arm at 0.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Palmer | Glen arm |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Less than High School | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 0.0% (Data is updating) |
Education Levels Comparison: Palmer vs Glen arm
- The percentage of residents with no formal schooling is the same in both Palmer and Glen arm at 0.0%.
- Both cities have the same percentage of residents with high school diplomas at 0.0%.
- Both cities report the same percentage of residents with less than a high school education at 0.0%.
- The percentage of residents with a bachelor's degree or higher is identical in both Palmer and Glen arm at 0.0%.
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.