Demographics details for Lawrence, KS vs Menomonee falls, WI

Population Overview

Compare main population characteristics in Lawrence, KS vs Menomonee falls, WI.

Data Lawrence Menomonee falls
Population 95,794 39,246
Median Age 28.8 years 41.9 years
Median Income $59,834 $96,986
Married Families 32.0% 46.0%
Poverty Level 12% 5%
Unemployment Rate 3.9 2.8

Population Comparison: Lawrence vs Menomonee falls

  • In Lawrence, the population is higher at 95,794, compared to 39,246 in Menomonee falls.
  • The median age in Menomonee falls is higher at 41.9 years, compared to 28.8 years in Lawrence.
  • Menomonee falls has a higher median income of $96,986, compared to $59,834 in Lawrence.
  • In Menomonee falls, the percentage of married families is higher at 46.0%, compared to 32.0% in Lawrence.
  • Lawrence has a higher poverty level at 12% compared to 5% in Menomonee falls.
  • The unemployment rate in Lawrence is higher at 3.9%, compared to 2.8% in Menomonee falls.

Demographics

Demographics Lawrence vs Menomonee falls provide insight into the diversity of the communities to compare.

Demographic Lawrence Menomonee falls
Black 5 4
White 71 82
Asian 6 5
Hispanic 7 5
Two or More Races 9 4
American Indian 2 Data is updating

Demographics Comparison: Lawrence vs Menomonee falls

  • A higher percentage of Black residents are in Lawrence at 5% compared to 4% in Menomonee falls.
  • The percentage of White residents is higher in Menomonee falls at 82% compared to 71% in Lawrence.
  • The Asian population is larger in Lawrence at 6% compared to 5% in Menomonee falls.
  • The Hispanic community is larger in Lawrence at 7% compared to 5% in Menomonee falls.
  • More residents identify as two or more races in Lawrence at 9% compared to 4% in Menomonee falls.
  • A greater percentage of American Indian residents live in Lawrence at 2% compared to 0% in Menomonee falls.

Health Statistics

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

Health Metric Lawrence Menomonee falls
Mental Health Not Good 16.5% 12.7%
Physical Health Not Good 9.5% 7.7%
Depression 22.3% 20.0%
Smoking 14.8% 11.6%
Binge Drinking 19.6% 25.0%
Obesity 32.8% 33.4%
Disability Percentage 10.0% 10.0%

Health Statistics Comparison: Lawrence vs Menomonee falls

  • More residents in Lawrence report poor mental health at 16.5% compared to 12.7% in Menomonee falls.
  • Depression is more prevalent in Lawrence at 22.3% compared to 20.0% in Menomonee falls.
  • Smoking is more prevalent in Lawrence at 14.8% compared to 11.6% in Menomonee falls.
  • More residents engage in binge drinking in Menomonee falls at 25.0% compared to 19.6% in Lawrence.
  • Menomonee falls has higher obesity rates at 33.4% compared to 32.8% in Lawrence.
  • Disability percentages are the same in both Lawrence and Menomonee falls at 10.0%.

Education Levels

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

Education Level Lawrence Menomonee falls
No Schooling 0.5% (466) 0.3% (117)
High School Diploma 8.2% (7,882) 14.9% (5,834)
Less than High School 4.0% (3,784) 4.9% (1,936)
Bachelor's Degree and Higher 31.1% (29,776) 33.4% (13,122)

Education Levels Comparison: Lawrence vs Menomonee falls

  • A higher percentage of residents in Lawrence have no formal schooling at 0.5% compared to 0.3% in Menomonee falls.
  • In Menomonee falls, the rate of residents with high school diplomas is higher at 14.9% compared to 8.2% in Lawrence.
  • The percentage of residents with less than a high school education is higher in Menomonee falls at 4.9%, compared to 4.0% in Lawrence.
  • In Menomonee falls, a larger share of residents have a bachelor's degree or higher at 33.4% compared to 31.1% in Lawrence.

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.