Demographics details for White swan, WA vs North mankato, MN

Population Overview

Compare main population characteristics in White swan, WA vs North mankato, MN.

Data White swan North mankato
Population 561 14,251
Median Age 24.5 years 37.4 years
Median Income $51,667 $74,602
Married Families 13.0% 38.0%
Poverty Level 12% 9%
Unemployment Rate 8.2 3.2

Population Comparison: White swan vs North mankato

  • The population in North mankato is higher at 14,251, compared to 561 in White swan.
  • The median age in North mankato is higher at 37.4 years, compared to 24.5 years in White swan.
  • North mankato has a higher median income of $74,602, compared to $51,667 in White swan.
  • In North mankato, the percentage of married families is higher at 38.0%, compared to 13.0% in White swan.
  • White swan has a higher poverty level at 12% compared to 9% in North mankato.
  • The unemployment rate in White swan is higher at 8.2%, compared to 3.2% in North mankato.

Demographics

Demographics White swan vs North mankato provide insight into the diversity of the communities to compare.

Demographic White swan North mankato
Black Data is updating 2
White -6 85
Asian Data is updating 2
Hispanic 26 4
Two or More Races 10 7
American Indian 70 Data is updating

Demographics Comparison: White swan vs North mankato

  • In North mankato, the percentage of Black residents is higher at 2% compared to 0% in White swan.
  • The percentage of White residents is higher in North mankato at 85% compared to -6% in White swan.
  • In North mankato, the Asian population stands at 2%, greater than 0% in White swan.
  • The Hispanic community is larger in White swan at 26% compared to 4% in North mankato.
  • More residents identify as two or more races in White swan at 10% compared to 7% in North mankato.
  • A greater percentage of American Indian residents live in White swan at 70% compared to 0% in North mankato.

Health Statistics

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

Health Metric White swan North mankato
Mental Health Not Good 22.0% 13.5%
Physical Health Not Good 18.1% 8.0%
Depression 24.7% 23.7%
Smoking 26.0% 14.3%
Binge Drinking 15.8% 21.5%
Obesity 43.8% 33.4%
Disability Percentage 21.0% 11.0%

Health Statistics Comparison: White swan vs North mankato

  • More residents in White swan report poor mental health at 22.0% compared to 13.5% in North mankato.
  • Depression is more prevalent in White swan at 24.7% compared to 23.7% in North mankato.
  • Smoking is more prevalent in White swan at 26.0% compared to 14.3% in North mankato.
  • More residents engage in binge drinking in North mankato at 21.5% compared to 15.8% in White swan.
  • Obesity rates are higher in White swan at 43.8% compared to 33.4% in North mankato.
  • Disability percentages are higher in White swan at 21.0% compared to 11.0% in North mankato.

Education Levels

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

Education Level White swan North mankato
No Schooling 0.0% (Data is updating) 0.1% (14)
High School Diploma 16.4% (92) 12.6% (1,794)
Less than High School 24.8% (139) 2.8% (405)
Bachelor's Degree and Higher 0.9% (5) 28.8% (4,103)

Education Levels Comparison: White swan vs North mankato

  • In North mankato, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in White swan.
  • A higher percentage of residents in White swan hold a high school diploma at 16.4% compared to 12.6% in North mankato.
  • More residents in White swan have less than a high school education at 24.8% 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 0.9% in White swan.

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.