Demographics details for Maple valley, WA vs Max meadows, VA

Population Overview

Compare main population characteristics in Maple valley, WA vs Max meadows, VA.

Data Maple valley Max meadows
Population 28,220 580
Median Age 36.4 years 47.2 years
Median Income $137,595 $73,683
Married Families 47.0% 43.0%
Poverty Level Data is updating 5%
Unemployment Rate 4.7 3.5

Population Comparison: Maple valley vs Max meadows

  • In Maple valley, the population is higher at 28,220, compared to 580 in Max meadows.
  • The median age in Max meadows is higher at 47.2 years, compared to 36.4 years in Maple valley.
  • Maple valley has a higher median income of $137,595 compared to $73,683 in Max meadows.
  • A higher percentage of married families is found in Maple valley at 47.0% compared to 43.0% in Max meadows.
  • The poverty level is higher in Max meadows at 5%, compared to 0% in Maple valley.
  • The unemployment rate in Maple valley is higher at 4.7%, compared to 3.5% in Max meadows.

Demographics

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

Demographic Maple valley Max meadows
Black 2 Data is updating
White 74 98
Asian 11 Data is updating
Hispanic 5 Data is updating
Two or More Races 8 2
American Indian Data is updating Data is updating

Demographics Comparison: Maple valley vs Max meadows

  • A higher percentage of Black residents are in Maple valley at 2% compared to 0% in Max meadows.
  • The percentage of White residents is higher in Max meadows at 98% compared to 74% in Maple valley.
  • The Asian population is larger in Maple valley at 11% compared to 0% in Max meadows.
  • The Hispanic community is larger in Maple valley at 5% compared to 0% in Max meadows.
  • More residents identify as two or more races in Maple valley at 8% compared to 2% in Max meadows.
  • The percentage of American Indian residents is the same in both Maple valley and Max meadows at 0%.

Health Statistics

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

Health Metric Maple valley Max meadows
Mental Health Not Good 15.9% 18.9%
Physical Health Not Good 8.6% 12.6%
Depression 25.8% 26.2%
Smoking 9.4% 20.4%
Binge Drinking 19.6% 17.9%
Obesity 24.3% 40.3%
Disability Percentage 7.0% 9.0%

Health Statistics Comparison: Maple valley vs Max meadows

  • In Max meadows, a higher percentage report poor mental health at 18.9% compared to 15.9% in Maple valley.
  • Higher depression rates are seen in Max meadows at 26.2% versus 25.8% in Maple valley.
  • Max meadows has a higher smoking rate at 20.4% compared to 9.4% in Maple valley.
  • Binge drinking is more common in Maple valley at 19.6% compared to 17.9% in Max meadows.
  • Max meadows has higher obesity rates at 40.3% compared to 24.3% in Maple valley.
  • There is a higher percentage of disabled individuals in Max meadows at 9.0% 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 Max meadows
No Schooling 0.4% (103) 0.0% (Data is updating)
High School Diploma 10.2% (2,878) 37.1% (215)
Less than High School 3.1% (879) 0.0% (Data is updating)
Bachelor's Degree and Higher 28.5% (8,032) 9.8% (57)

Education Levels Comparison: Maple valley vs Max meadows

  • A higher percentage of residents in Maple valley have no formal schooling at 0.4% compared to 0.0% in Max meadows.
  • In Max meadows, the rate of residents with high school diplomas is higher at 37.1% compared to 10.2% in Maple valley.
  • More residents in Maple valley have less than a high school education at 3.1% compared to 0.0% in Max meadows.
  • A higher percentage of residents in Maple valley hold a bachelor's degree or higher at 28.5% compared to 9.8% in Max meadows.

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.