Demographics details for Worcester, MA vs Sunnyside, WA
Population Overview
Compare main population characteristics in Worcester, MA vs Sunnyside, WA.
Data | Worcester | Sunnyside |
---|---|---|
Population | 205,319 | 16,296 |
Median Age | 34.3 years | 27.1 years |
Median Income | $63,011 | $49,134 |
Married Families | 29.0% | 31.0% |
Poverty Level | 12% | 18% |
Unemployment Rate | 4.8 | 5.3 |
Population Comparison: Worcester vs Sunnyside
- In Worcester, the population is higher at 205,319, compared to 16,296 in Sunnyside.
- Residents in Worcester have a higher median age of 34.3 years compared to 27.1 years in Sunnyside.
- Worcester has a higher median income of $63,011 compared to $49,134 in Sunnyside.
- In Sunnyside, the percentage of married families is higher at 31.0%, compared to 29.0% in Worcester.
- The poverty level is higher in Sunnyside at 18%, compared to 12% in Worcester.
- Sunnyside has a higher unemployment rate at 5.3% compared to 4.8% in Worcester.
Demographics
Demographics Worcester vs Sunnyside provide insight into the diversity of the communities to compare.
Demographic | Worcester | Sunnyside |
---|---|---|
Black | 13 | Data is updating |
White | 44 | -10 |
Asian | 7 | 1 |
Hispanic | 24 | 86 |
Two or More Races | 12 | 22 |
American Indian | Data is updating | 1 |
Demographics Comparison: Worcester vs Sunnyside
- A higher percentage of Black residents are in Worcester at 13% compared to 0% in Sunnyside.
- Worcester has a higher percentage of White residents at 44% compared to -10% in Sunnyside.
- The Asian population is larger in Worcester at 7% compared to 1% in Sunnyside.
- Sunnyside has a higher percentage of Hispanic residents at 86%, compared to 24% in Worcester.
- The percentage of residents identifying as two or more races is higher in Sunnyside at 22%, compared to 12% in Worcester.
- In Sunnyside, the percentage of American Indian residents is higher at 1%, compared to 0% in Worcester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Worcester | Sunnyside |
---|---|---|
Mental Health Not Good | 18.7% | 19.4% |
Physical Health Not Good | 11.8% | 18.4% |
Depression | 23.1% | 22.8% |
Smoking | 17.1% | 19.2% |
Binge Drinking | 15.5% | 13.4% |
Obesity | 34.8% | 44.5% |
Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Worcester vs Sunnyside
- In Sunnyside, a higher percentage report poor mental health at 19.4% compared to 18.7% in Worcester.
- Depression is more prevalent in Worcester at 23.1% compared to 22.8% in Sunnyside.
- Sunnyside has a higher smoking rate at 19.2% compared to 17.1% in Worcester.
- Binge drinking is more common in Worcester at 15.5% compared to 13.4% in Sunnyside.
- Sunnyside has higher obesity rates at 44.5% compared to 34.8% in Worcester.
- Disability percentages are higher in Worcester at 14.0% compared to 11.0% in Sunnyside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Worcester | Sunnyside |
---|---|---|
No Schooling | 1.7% (3,577) | 3.3% (530) |
High School Diploma | 15.6% (31,987) | 12.2% (1,985) |
Less than High School | 16.0% (32,925) | 49.1% (8,000) |
Bachelor's Degree and Higher | 21.5% (44,155) | 4.4% (710) |
Education Levels Comparison: Worcester vs Sunnyside
- In Sunnyside, a larger percentage of residents lack formal schooling at 3.3% compared to 1.7% in Worcester.
- A higher percentage of residents in Worcester hold a high school diploma at 15.6% compared to 12.2% in Sunnyside.
- The percentage of residents with less than a high school education is higher in Sunnyside at 49.1%, compared to 16.0% in Worcester.
- A higher percentage of residents in Worcester hold a bachelor's degree or higher at 21.5% compared to 4.4% in Sunnyside.
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.