Demographics details for Boyertown, PA vs Maple valley, WA

Population Overview

Compare main population characteristics in Boyertown, PA vs Maple valley, WA.

Data Boyertown Maple valley
Population 4,255 28,220
Median Age 38.3 years 36.4 years
Median Income $52,717 $137,595
Married Families 30.0% 47.0%
Poverty Level 10% Data is updating
Unemployment Rate 4.5 4.7

Population Comparison: Boyertown vs Maple valley

  • The population in Maple valley is higher at 28,220, compared to 4,255 in Boyertown.
  • Residents in Boyertown have a higher median age of 38.3 years compared to 36.4 years in Maple valley.
  • Maple valley has a higher median income of $137,595, compared to $52,717 in Boyertown.
  • In Maple valley, the percentage of married families is higher at 47.0%, compared to 30.0% in Boyertown.
  • Boyertown has a higher poverty level at 10% compared to 0% in Maple valley.
  • Maple valley has a higher unemployment rate at 4.7% compared to 4.5% in Boyertown.

Demographics

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

Demographic Boyertown Maple valley
Black 2 2
White 88 74
Asian Data is updating 11
Hispanic 8 5
Two or More Races 2 8
American Indian Data is updating Data is updating

Demographics Comparison: Boyertown vs Maple valley

  • The percentage of Black residents is the same in both Boyertown and Maple valley at 2%.
  • Boyertown has a higher percentage of White residents at 88% compared to 74% in Maple valley.
  • In Maple valley, the Asian population stands at 11%, greater than 0% in Boyertown.
  • The Hispanic community is larger in Boyertown at 8% compared to 5% in Maple valley.
  • The percentage of residents identifying as two or more races is higher in Maple valley at 8%, compared to 2% in Boyertown.
  • The percentage of American Indian residents is the same in both Boyertown and Maple valley at 0%.

Health Statistics

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

Health Metric Boyertown Maple valley
Mental Health Not Good 17.4% 15.9%
Physical Health Not Good 12.2% 8.6%
Depression 24.2% 25.8%
Smoking 21.5% 9.4%
Binge Drinking 17.0% 19.6%
Obesity 35.8% 24.3%
Disability Percentage 17.0% 7.0%

Health Statistics Comparison: Boyertown vs Maple valley

  • More residents in Boyertown report poor mental health at 17.4% compared to 15.9% in Maple valley.
  • Higher depression rates are seen in Maple valley at 25.8% versus 24.2% in Boyertown.
  • Smoking is more prevalent in Boyertown at 21.5% compared to 9.4% in Maple valley.
  • More residents engage in binge drinking in Maple valley at 19.6% compared to 17.0% in Boyertown.
  • Obesity rates are higher in Boyertown at 35.8% compared to 24.3% in Maple valley.
  • Disability percentages are higher in Boyertown at 17.0% 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 Boyertown Maple valley
No Schooling 0.6% (26) 0.4% (103)
High School Diploma 26.3% (1,120) 10.2% (2,878)
Less than High School 10.6% (452) 3.1% (879)
Bachelor's Degree and Higher 12.0% (511) 28.5% (8,032)

Education Levels Comparison: Boyertown vs Maple valley

  • A higher percentage of residents in Boyertown have no formal schooling at 0.6% compared to 0.4% in Maple valley.
  • A higher percentage of residents in Boyertown hold a high school diploma at 26.3% compared to 10.2% in Maple valley.
  • More residents in Boyertown have less than a high school education at 10.6% compared to 3.1% in Maple valley.
  • In Maple valley, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 12.0% in Boyertown.

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.