Demographics details for Lawrence, NY vs Maple valley, WA

Population Overview

Compare main population characteristics in Lawrence, NY vs Maple valley, WA.

Data Lawrence Maple valley
Population 6,745 28,220
Median Age 32.5 years 36.4 years
Median Income $169,029 $137,595
Married Families 45.0% 47.0%
Poverty Level 2% Data is updating
Unemployment Rate 5.0 4.7

Population Comparison: Lawrence vs Maple valley

  • The population in Maple valley is higher at 28,220, compared to 6,745 in Lawrence.
  • The median age in Maple valley is higher at 36.4 years, compared to 32.5 years in Lawrence.
  • Lawrence has a higher median income of $169,029 compared to $137,595 in Maple valley.
  • In Maple valley, the percentage of married families is higher at 47.0%, compared to 45.0% in Lawrence.
  • Lawrence has a higher poverty level at 2% compared to 0% in Maple valley.
  • The unemployment rate in Lawrence is higher at 5.0%, compared to 4.7% in Maple valley.

Demographics

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

Demographic Lawrence Maple valley
Black Data is updating 2
White 95 74
Asian 1 11
Hispanic 2 5
Two or More Races 2 8
American Indian Data is updating Data is updating

Demographics Comparison: Lawrence vs Maple valley

  • In Maple valley, the percentage of Black residents is higher at 2% compared to 0% in Lawrence.
  • Lawrence has a higher percentage of White residents at 95% compared to 74% in Maple valley.
  • In Maple valley, the Asian population stands at 11%, greater than 1% in Lawrence.
  • Maple valley has a higher percentage of Hispanic residents at 5%, compared to 2% in Lawrence.
  • The percentage of residents identifying as two or more races is higher in Maple valley at 8%, compared to 2% in Lawrence.
  • The percentage of American Indian residents is the same in both Lawrence and Maple valley at 0%.

Health Statistics

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

Health Metric Lawrence Maple valley
Mental Health Not Good 12.6% 15.9%
Physical Health Not Good 7.1% 8.6%
Depression 17.3% 25.8%
Smoking 9.0% 9.4%
Binge Drinking 19.1% 19.6%
Obesity 25.3% 24.3%
Disability Percentage 6.0% 7.0%

Health Statistics Comparison: Lawrence vs Maple valley

  • In Maple valley, a higher percentage report poor mental health at 15.9% compared to 12.6% in Lawrence.
  • Higher depression rates are seen in Maple valley at 25.8% versus 17.3% in Lawrence.
  • Maple valley has a higher smoking rate at 9.4% compared to 9.0% in Lawrence.
  • More residents engage in binge drinking in Maple valley at 19.6% compared to 19.1% in Lawrence.
  • Obesity rates are higher in Lawrence at 25.3% compared to 24.3% in Maple valley.
  • There is a higher percentage of disabled individuals in Maple valley at 7.0% compared to 6.0% in Lawrence.

Education Levels

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

Education Level Lawrence Maple valley
No Schooling 0.0% (Data is updating) 0.4% (103)
High School Diploma 4.2% (283) 10.2% (2,878)
Less than High School 3.7% (252) 3.1% (879)
Bachelor's Degree and Higher 41.9% (2,824) 28.5% (8,032)

Education Levels Comparison: Lawrence vs Maple valley

  • In Maple valley, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Lawrence.
  • In Maple valley, the rate of residents with high school diplomas is higher at 10.2% compared to 4.2% in Lawrence.
  • More residents in Lawrence have less than a high school education at 3.7% compared to 3.1% in Maple valley.
  • A higher percentage of residents in Lawrence hold a bachelor's degree or higher at 41.9% compared to 28.5% in Maple valley.

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.