Demographics details for North mankato, MN vs Eau claire, WI

Population Overview

Compare main population characteristics in North mankato, MN vs Eau claire, WI.

Data North mankato Eau claire
Population 14,251 69,737
Median Age 37.4 years 32.8 years
Median Income $74,602 $63,882
Married Families 38.0% 34.0%
Poverty Level 9% 10%
Unemployment Rate 3.2 3.0

Population Comparison: North mankato vs Eau claire

  • The population in Eau claire is higher at 69,737, compared to 14,251 in North mankato.
  • Residents in North mankato have a higher median age of 37.4 years compared to 32.8 years in Eau claire.
  • North mankato has a higher median income of $74,602 compared to $63,882 in Eau claire.
  • A higher percentage of married families is found in North mankato at 38.0% compared to 34.0% in Eau claire.
  • The poverty level is higher in Eau claire at 10%, compared to 9% in North mankato.
  • The unemployment rate in North mankato is higher at 3.2%, compared to 3.0% in Eau claire.

Demographics

Demographics North mankato vs Eau claire provide insight into the diversity of the communities to compare.

Demographic North mankato Eau claire
Black 2 1
White 85 86
Asian 2 6
Hispanic 4 3
Two or More Races 7 4
American Indian Data is updating Data is updating

Demographics Comparison: North mankato vs Eau claire

  • A higher percentage of Black residents are in North mankato at 2% compared to 1% in Eau claire.
  • The percentage of White residents is higher in Eau claire at 86% compared to 85% in North mankato.
  • In Eau claire, the Asian population stands at 6%, greater than 2% in North mankato.
  • The Hispanic community is larger in North mankato at 4% compared to 3% in Eau claire.
  • More residents identify as two or more races in North mankato at 7% compared to 4% in Eau claire.
  • The percentage of American Indian residents is the same in both North mankato and Eau claire at 0%.

Health Statistics

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

Health Metric North mankato Eau claire
Mental Health Not Good 13.5% 15.3%
Physical Health Not Good 8.0% 9.8%
Depression 23.7% 23.6%
Smoking 14.3% 15.2%
Binge Drinking 21.5% 24.8%
Obesity 33.4% 32.2%
Disability Percentage 11.0% 13.0%

Health Statistics Comparison: North mankato vs Eau claire

  • In Eau claire, a higher percentage report poor mental health at 15.3% compared to 13.5% in North mankato.
  • Depression is more prevalent in North mankato at 23.7% compared to 23.6% in Eau claire.
  • Eau claire has a higher smoking rate at 15.2% compared to 14.3% in North mankato.
  • More residents engage in binge drinking in Eau claire at 24.8% compared to 21.5% in North mankato.
  • Obesity rates are higher in North mankato at 33.4% compared to 32.2% in Eau claire.
  • There is a higher percentage of disabled individuals in Eau claire at 13.0% 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 North mankato Eau claire
No Schooling 0.1% (14) 0.5% (340)
High School Diploma 12.6% (1,794) 14.2% (9,934)
Less than High School 2.8% (405) 3.7% (2,573)
Bachelor's Degree and Higher 28.8% (4,103) 21.6% (15,073)

Education Levels Comparison: North mankato vs Eau claire

  • In Eau claire, a larger percentage of residents lack formal schooling at 0.5% compared to 0.1% in North mankato.
  • In Eau claire, the rate of residents with high school diplomas is higher at 14.2% compared to 12.6% in North mankato.
  • The percentage of residents with less than a high school education is higher in Eau claire at 3.7%, compared to 2.8% in North mankato.
  • A higher percentage of residents in North mankato hold a bachelor's degree or higher at 28.8% compared to 21.6% in Eau claire.

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.