Demographics details for Maple valley, WA vs Queenstown, MD

Population Overview

Compare main population characteristics in Maple valley, WA vs Queenstown, MD.

Data Maple valley Queenstown
Population 28,220 741
Median Age 36.4 years 35.3 years
Median Income $137,595 $101,964
Married Families 47.0% 43.0%
Poverty Level Data is updating 5%
Unemployment Rate 4.7 4.2

Population Comparison: Maple valley vs Queenstown

  • In Maple valley, the population is higher at 28,220, compared to 741 in Queenstown.
  • Residents in Maple valley have a higher median age of 36.4 years compared to 35.3 years in Queenstown.
  • Maple valley has a higher median income of $137,595 compared to $101,964 in Queenstown.
  • A higher percentage of married families is found in Maple valley at 47.0% compared to 43.0% in Queenstown.
  • The poverty level is higher in Queenstown at 5%, compared to 0% in Maple valley.
  • The unemployment rate in Maple valley is higher at 4.7%, compared to 4.2% in Queenstown.

Demographics

Demographics Maple valley vs Queenstown provide insight into the diversity of the communities to compare.

Demographic Maple valley Queenstown
Black 2 13
White 74 30
Asian 11 Data is updating
Hispanic 5 34
Two or More Races 8 21
American Indian Data is updating 2

Demographics Comparison: Maple valley vs Queenstown

  • In Queenstown, the percentage of Black residents is higher at 13% compared to 2% in Maple valley.
  • Maple valley has a higher percentage of White residents at 74% compared to 30% in Queenstown.
  • The Asian population is larger in Maple valley at 11% compared to 0% in Queenstown.
  • Queenstown has a higher percentage of Hispanic residents at 34%, compared to 5% in Maple valley.
  • The percentage of residents identifying as two or more races is higher in Queenstown at 21%, compared to 8% in Maple valley.
  • In Queenstown, the percentage of American Indian residents is higher at 2%, compared to 0% in Maple valley.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Maple valley Queenstown
Mental Health Not Good 15.9% 14.5%
Physical Health Not Good 8.6% 8.4%
Depression 25.8% 20.2%
Smoking 9.4% 12.0%
Binge Drinking 19.6% 17.8%
Obesity 24.3% 33.7%
Disability Percentage 7.0% 11.0%

Health Statistics Comparison: Maple valley vs Queenstown

  • More residents in Maple valley report poor mental health at 15.9% compared to 14.5% in Queenstown.
  • Depression is more prevalent in Maple valley at 25.8% compared to 20.2% in Queenstown.
  • Queenstown has a higher smoking rate at 12.0% compared to 9.4% in Maple valley.
  • Binge drinking is more common in Maple valley at 19.6% compared to 17.8% in Queenstown.
  • Queenstown has higher obesity rates at 33.7% compared to 24.3% in Maple valley.
  • There is a higher percentage of disabled individuals in Queenstown at 11.0% compared to 7.0% in Maple valley.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Maple valley Queenstown
No Schooling 0.4% (103) 2.7% (20)
High School Diploma 10.2% (2,878) 17.8% (132)
Less than High School 3.1% (879) 14.6% (108)
Bachelor's Degree and Higher 28.5% (8,032) 28.3% (210)

Education Levels Comparison: Maple valley vs Queenstown

  • In Queenstown, a larger percentage of residents lack formal schooling at 2.7% compared to 0.4% in Maple valley.
  • In Queenstown, the rate of residents with high school diplomas is higher at 17.8% compared to 10.2% in Maple valley.
  • The percentage of residents with less than a high school education is higher in Queenstown at 14.6%, compared to 3.1% in Maple valley.
  • A higher percentage of residents in Maple valley hold a bachelor's degree or higher at 28.5% compared to 28.3% in Queenstown.

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.