Demographics details for Palmer, MA vs Sunnyside, WA
Population Overview
Compare main population characteristics in Palmer, MA vs Sunnyside, WA.
Data | Palmer | Sunnyside |
---|---|---|
Population | 3,900 | 16,296 |
Median Age | 42.0 years | 27.1 years |
Median Income | $65,000 | $49,134 |
Married Families | 55.0% | 31.0% |
Poverty Level | 10% | 18% |
Unemployment Rate | 3.5 | 5.3 |
Population Comparison: Palmer vs Sunnyside
- The population in Sunnyside is higher at 16,296, compared to 3,900 in Palmer.
- Residents in Palmer have a higher median age of 42.0 years compared to 27.1 years in Sunnyside.
- Palmer has a higher median income of $65,000 compared to $49,134 in Sunnyside.
- A higher percentage of married families is found in Palmer at 55.0% compared to 31.0% in Sunnyside.
- The poverty level is higher in Sunnyside at 18%, compared to 10% in Palmer.
- Sunnyside has a higher unemployment rate at 5.3% compared to 3.5% in Palmer.
Demographics
Demographics Palmer vs Sunnyside provide insight into the diversity of the communities to compare.
Demographic | Palmer | Sunnyside |
---|---|---|
Black | 1 | Data is updating |
White | 96 | -10 |
Asian | 1 | 1 |
Hispanic | 2 | 86 |
Two or More Races | Data is updating | 22 |
American Indian | Data is updating | 1 |
Demographics Comparison: Palmer vs Sunnyside
- A higher percentage of Black residents are in Palmer at 1% compared to 0% in Sunnyside.
- Palmer has a higher percentage of White residents at 96% compared to -10% in Sunnyside.
- Both Palmer and Sunnyside have the same percentage of Asian residents at 1%.
- Sunnyside has a higher percentage of Hispanic residents at 86%, compared to 2% in Palmer.
- The percentage of residents identifying as two or more races is higher in Sunnyside at 22%, compared to 0% in Palmer.
- In Sunnyside, the percentage of American Indian residents is higher at 1%, compared to 0% in Palmer.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Palmer | Sunnyside |
---|---|---|
Mental Health Not Good | Data is updating% | 19.4% |
Physical Health Not Good | Data is updating% | 18.4% |
Depression | Data is updating% | 22.8% |
Smoking | Data is updating% | 19.2% |
Binge Drinking | Data is updating% | 13.4% |
Obesity | Data is updating% | 44.5% |
Disability Percentage | Data is updating% | 11.0% |
Health Statistics Comparison: Palmer vs Sunnyside
- In Sunnyside, a higher percentage report poor mental health at 19.4% compared to 0.0% in Palmer.
- Higher depression rates are seen in Sunnyside at 22.8% versus 0.0% in Palmer.
- Sunnyside has a higher smoking rate at 19.2% compared to 0.0% in Palmer.
- More residents engage in binge drinking in Sunnyside at 13.4% compared to 0.0% in Palmer.
- Sunnyside has higher obesity rates at 44.5% compared to 0.0% in Palmer.
- There is a higher percentage of disabled individuals in Sunnyside at 11.0% 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 | Palmer | Sunnyside |
---|---|---|
No Schooling | 0.0% (Data is updating) | 3.3% (530) |
High School Diploma | 0.0% (Data is updating) | 12.2% (1,985) |
Less than High School | 0.0% (Data is updating) | 49.1% (8,000) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 4.4% (710) |
Education Levels Comparison: Palmer vs Sunnyside
- In Sunnyside, a larger percentage of residents lack formal schooling at 3.3% compared to 0.0% in Palmer.
- In Sunnyside, the rate of residents with high school diplomas is higher at 12.2% compared to 0.0% in Palmer.
- The percentage of residents with less than a high school education is higher in Sunnyside at 49.1%, compared to 0.0% in Palmer.
- In Sunnyside, a larger share of residents have a bachelor's degree or higher at 4.4% 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.