Demographics details for Queenstown, MD vs Worcester, MA
Population Overview
Compare main population characteristics in Queenstown, MD vs Worcester, MA.
Data | Queenstown | Worcester |
---|---|---|
Population | 741 | 205,319 |
Median Age | 35.3 years | 34.3 years |
Median Income | $101,964 | $63,011 |
Married Families | 43.0% | 29.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 4.2 | 4.8 |
Population Comparison: Queenstown vs Worcester
- The population in Worcester is higher at 205,319, compared to 741 in Queenstown.
- Residents in Queenstown have a higher median age of 35.3 years compared to 34.3 years in Worcester.
- Queenstown has a higher median income of $101,964 compared to $63,011 in Worcester.
- A higher percentage of married families is found in Queenstown at 43.0% compared to 29.0% in Worcester.
- The poverty level is higher in Worcester at 12%, compared to 5% in Queenstown.
- Worcester has a higher unemployment rate at 4.8% compared to 4.2% in Queenstown.
Demographics
Demographics Queenstown vs Worcester provide insight into the diversity of the communities to compare.
Demographic | Queenstown | Worcester |
---|---|---|
Black | 13 | 13 |
White | 30 | 44 |
Asian | Data is updating | 7 |
Hispanic | 34 | 24 |
Two or More Races | 21 | 12 |
American Indian | 2 | Data is updating |
Demographics Comparison: Queenstown vs Worcester
- The percentage of Black residents is the same in both Queenstown and Worcester at 13%.
- The percentage of White residents is higher in Worcester at 44% compared to 30% in Queenstown.
- In Worcester, the Asian population stands at 7%, greater than 0% in Queenstown.
- The Hispanic community is larger in Queenstown at 34% compared to 24% in Worcester.
- More residents identify as two or more races in Queenstown at 21% compared to 12% in Worcester.
- A greater percentage of American Indian residents live in Queenstown at 2% compared to 0% in Worcester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Queenstown | Worcester |
---|---|---|
Mental Health Not Good | 14.5% | 18.7% |
Physical Health Not Good | 8.4% | 11.8% |
Depression | 20.2% | 23.1% |
Smoking | 12.0% | 17.1% |
Binge Drinking | 17.8% | 15.5% |
Obesity | 33.7% | 34.8% |
Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Queenstown vs Worcester
- In Worcester, a higher percentage report poor mental health at 18.7% compared to 14.5% in Queenstown.
- Higher depression rates are seen in Worcester at 23.1% versus 20.2% in Queenstown.
- Worcester has a higher smoking rate at 17.1% compared to 12.0% in Queenstown.
- Binge drinking is more common in Queenstown at 17.8% compared to 15.5% in Worcester.
- Worcester has higher obesity rates at 34.8% compared to 33.7% in Queenstown.
- There is a higher percentage of disabled individuals in Worcester at 14.0% compared to 11.0% in Queenstown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Queenstown | Worcester |
---|---|---|
No Schooling | 2.7% (20) | 1.7% (3,577) |
High School Diploma | 17.8% (132) | 15.6% (31,987) |
Less than High School | 14.6% (108) | 16.0% (32,925) |
Bachelor's Degree and Higher | 28.3% (210) | 21.5% (44,155) |
Education Levels Comparison: Queenstown vs Worcester
- A higher percentage of residents in Queenstown have no formal schooling at 2.7% compared to 1.7% in Worcester.
- A higher percentage of residents in Queenstown hold a high school diploma at 17.8% compared to 15.6% in Worcester.
- The percentage of residents with less than a high school education is higher in Worcester at 16.0%, compared to 14.6% in Queenstown.
- A higher percentage of residents in Queenstown hold a bachelor's degree or higher at 28.3% compared to 21.5% in Worcester.
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.