Demographics details for Cornelius, NC vs Eau claire, WI

Population Overview

Compare main population characteristics in Cornelius, NC vs Eau claire, WI.

Data Cornelius Eau claire
Population 32,294 69,737
Median Age 44.3 years 32.8 years
Median Income $107,969 $63,882
Married Families 48.0% 34.0%
Poverty Level 4% 10%
Unemployment Rate 3.2 3.0

Population Comparison: Cornelius vs Eau claire

  • The population in Eau claire is higher at 69,737, compared to 32,294 in Cornelius.
  • Residents in Cornelius have a higher median age of 44.3 years compared to 32.8 years in Eau claire.
  • Cornelius has a higher median income of $107,969 compared to $63,882 in Eau claire.
  • A higher percentage of married families is found in Cornelius at 48.0% compared to 34.0% in Eau claire.
  • The poverty level is higher in Eau claire at 10%, compared to 4% in Cornelius.
  • The unemployment rate in Cornelius is higher at 3.2%, compared to 3.0% in Eau claire.

Demographics

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

Demographic Cornelius Eau claire
Black 5 1
White 81 86
Asian 3 6
Hispanic 6 3
Two or More Races 5 4
American Indian Data is updating Data is updating

Demographics Comparison: Cornelius vs Eau claire

  • A higher percentage of Black residents are in Cornelius at 5% compared to 1% in Eau claire.
  • The percentage of White residents is higher in Eau claire at 86% compared to 81% in Cornelius.
  • In Eau claire, the Asian population stands at 6%, greater than 3% in Cornelius.
  • The Hispanic community is larger in Cornelius at 6% compared to 3% in Eau claire.
  • More residents identify as two or more races in Cornelius at 5% compared to 4% in Eau claire.
  • The percentage of American Indian residents is the same in both Cornelius and Eau claire at 0%.

Health Statistics

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

Health Metric Cornelius Eau claire
Mental Health Not Good 13.3% 15.3%
Physical Health Not Good 8.0% 9.8%
Depression 21.6% 23.6%
Smoking 10.6% 15.2%
Binge Drinking 20.6% 24.8%
Obesity 29.5% 32.2%
Disability Percentage 7.0% 13.0%

Health Statistics Comparison: Cornelius vs Eau claire

  • In Eau claire, a higher percentage report poor mental health at 15.3% compared to 13.3% in Cornelius.
  • Higher depression rates are seen in Eau claire at 23.6% versus 21.6% in Cornelius.
  • Eau claire has a higher smoking rate at 15.2% compared to 10.6% in Cornelius.
  • More residents engage in binge drinking in Eau claire at 24.8% compared to 20.6% in Cornelius.
  • Eau claire has higher obesity rates at 32.2% compared to 29.5% in Cornelius.
  • There is a higher percentage of disabled individuals in Eau claire at 13.0% compared to 7.0% in Cornelius.

Education Levels

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

Education Level Cornelius Eau claire
No Schooling 0.7% (220) 0.5% (340)
High School Diploma 6.7% (2,153) 14.2% (9,934)
Less than High School 3.5% (1,130) 3.7% (2,573)
Bachelor's Degree and Higher 40.9% (13,215) 21.6% (15,073)

Education Levels Comparison: Cornelius vs Eau claire

  • A higher percentage of residents in Cornelius have no formal schooling at 0.7% compared to 0.5% in Eau claire.
  • In Eau claire, the rate of residents with high school diplomas is higher at 14.2% compared to 6.7% in Cornelius.
  • The percentage of residents with less than a high school education is higher in Eau claire at 3.7%, compared to 3.5% in Cornelius.
  • A higher percentage of residents in Cornelius hold a bachelor's degree or higher at 40.9% 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.