Demographics details for Smith center, KS vs Lynnwood, WA

Population Overview

Compare main population characteristics in Smith center, KS vs Lynnwood, WA.

Data Smith center Lynnwood
Population 1,561 43,212
Median Age 46.6 years 39.3 years
Median Income $49,444 $72,241
Married Families 43.0% 34.0%
Poverty Level 10% 7%
Unemployment Rate 3.2 4.8

Population Comparison: Smith center vs Lynnwood

  • The population in Lynnwood is higher at 43,212, compared to 1,561 in Smith center.
  • Residents in Smith center have a higher median age of 46.6 years compared to 39.3 years in Lynnwood.
  • Lynnwood has a higher median income of $72,241, compared to $49,444 in Smith center.
  • A higher percentage of married families is found in Smith center at 43.0% compared to 34.0% in Lynnwood.
  • Smith center has a higher poverty level at 10% compared to 7% in Lynnwood.
  • Lynnwood has a higher unemployment rate at 4.8% compared to 3.2% in Smith center.

Demographics

Demographics Smith center vs Lynnwood provide insight into the diversity of the communities to compare.

Demographic Smith center Lynnwood
Black 1 8
White 94 48
Asian Data is updating 17
Hispanic 3 15
Two or More Races 2 11
American Indian Data is updating 1

Demographics Comparison: Smith center vs Lynnwood

  • In Lynnwood, the percentage of Black residents is higher at 8% compared to 1% in Smith center.
  • Smith center has a higher percentage of White residents at 94% compared to 48% in Lynnwood.
  • In Lynnwood, the Asian population stands at 17%, greater than 0% in Smith center.
  • Lynnwood has a higher percentage of Hispanic residents at 15%, compared to 3% in Smith center.
  • The percentage of residents identifying as two or more races is higher in Lynnwood at 11%, compared to 2% in Smith center.
  • In Lynnwood, the percentage of American Indian residents is higher at 1%, compared to 0% in Smith center.

Health Statistics

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

Health Metric Smith center Lynnwood
Mental Health Not Good 16.7% 16.9%
Physical Health Not Good 10.8% 11.5%
Depression 21.7% 27.9%
Smoking 19.2% 12.8%
Binge Drinking 19.0% 14.3%
Obesity 38.8% 33.1%
Disability Percentage 15.0% 13.0%

Health Statistics Comparison: Smith center vs Lynnwood

  • In Lynnwood, a higher percentage report poor mental health at 16.9% compared to 16.7% in Smith center.
  • Higher depression rates are seen in Lynnwood at 27.9% versus 21.7% in Smith center.
  • Smoking is more prevalent in Smith center at 19.2% compared to 12.8% in Lynnwood.
  • Binge drinking is more common in Smith center at 19.0% compared to 14.3% in Lynnwood.
  • Obesity rates are higher in Smith center at 38.8% compared to 33.1% in Lynnwood.
  • Disability percentages are higher in Smith center at 15.0% compared to 13.0% in Lynnwood.

Education Levels

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

Education Level Smith center Lynnwood
No Schooling 0.2% (3) 1.8% (777)
High School Diploma 29.4% (459) 11.8% (5,093)
Less than High School 7.6% (118) 12.8% (5,549)
Bachelor's Degree and Higher 14.8% (231) 20.6% (8,904)

Education Levels Comparison: Smith center vs Lynnwood

  • In Lynnwood, a larger percentage of residents lack formal schooling at 1.8% compared to 0.2% in Smith center.
  • A higher percentage of residents in Smith center hold a high school diploma at 29.4% compared to 11.8% in Lynnwood.
  • The percentage of residents with less than a high school education is higher in Lynnwood at 12.8%, compared to 7.6% in Smith center.
  • In Lynnwood, a larger share of residents have a bachelor's degree or higher at 20.6% compared to 14.8% in Smith center.

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.