Demographics details for Lake stevens, WA vs North mankato, MN

Population Overview

Compare main population characteristics in Lake stevens, WA vs North mankato, MN.

Data Lake stevens North mankato
Population 39,848 14,251
Median Age 34.4 years 37.4 years
Median Income $111,821 $74,602
Married Families 43.0% 38.0%
Poverty Level 7% 9%
Unemployment Rate 5.3 3.2

Population Comparison: Lake stevens vs North mankato

  • In Lake stevens, the population is higher at 39,848, compared to 14,251 in North mankato.
  • The median age in North mankato is higher at 37.4 years, compared to 34.4 years in Lake stevens.
  • Lake stevens has a higher median income of $111,821 compared to $74,602 in North mankato.
  • A higher percentage of married families is found in Lake stevens at 43.0% compared to 38.0% in North mankato.
  • The poverty level is higher in North mankato at 9%, compared to 7% in Lake stevens.
  • The unemployment rate in Lake stevens is higher at 5.3%, compared to 3.2% in North mankato.

Demographics

Demographics Lake stevens vs North mankato provide insight into the diversity of the communities to compare.

Demographic Lake stevens North mankato
Black 3 2
White 69 85
Asian 7 2
Hispanic 10 4
Two or More Races 10 7
American Indian 1 Data is updating

Demographics Comparison: Lake stevens vs North mankato

  • A higher percentage of Black residents are in Lake stevens at 3% compared to 2% in North mankato.
  • The percentage of White residents is higher in North mankato at 85% compared to 69% in Lake stevens.
  • The Asian population is larger in Lake stevens at 7% compared to 2% in North mankato.
  • The Hispanic community is larger in Lake stevens at 10% compared to 4% in North mankato.
  • More residents identify as two or more races in Lake stevens at 10% compared to 7% in North mankato.
  • A greater percentage of American Indian residents live in Lake stevens at 1% compared to 0% in North mankato.

Health Statistics

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

Health Metric Lake stevens North mankato
Mental Health Not Good 16.7% 13.5%
Physical Health Not Good 10.4% 8.0%
Depression 29.7% 23.7%
Smoking 11.7% 14.3%
Binge Drinking 16.8% 21.5%
Obesity 33.0% 33.4%
Disability Percentage 9.0% 11.0%

Health Statistics Comparison: Lake stevens vs North mankato

  • More residents in Lake stevens report poor mental health at 16.7% compared to 13.5% in North mankato.
  • Depression is more prevalent in Lake stevens at 29.7% compared to 23.7% in North mankato.
  • North mankato has a higher smoking rate at 14.3% compared to 11.7% in Lake stevens.
  • More residents engage in binge drinking in North mankato at 21.5% compared to 16.8% in Lake stevens.
  • North mankato has higher obesity rates at 33.4% compared to 33.0% in Lake stevens.
  • There is a higher percentage of disabled individuals in North mankato at 11.0% compared to 9.0% in Lake stevens.

Education Levels

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

Education Level Lake stevens North mankato
No Schooling 0.4% (144) 0.1% (14)
High School Diploma 13.7% (5,469) 12.6% (1,794)
Less than High School 6.6% (2,647) 2.8% (405)
Bachelor's Degree and Higher 20.5% (8,151) 28.8% (4,103)

Education Levels Comparison: Lake stevens vs North mankato

  • A higher percentage of residents in Lake stevens have no formal schooling at 0.4% compared to 0.1% in North mankato.
  • A higher percentage of residents in Lake stevens hold a high school diploma at 13.7% compared to 12.6% in North mankato.
  • More residents in Lake stevens have less than a high school education at 6.6% compared to 2.8% in North mankato.
  • In North mankato, a larger share of residents have a bachelor's degree or higher at 28.8% compared to 20.5% in Lake stevens.

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.