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.