Demographics details for Lawrence, KS vs South cle elum, WA

Population Overview

Compare main population characteristics in Lawrence, KS vs South cle elum, WA.

Data Lawrence South cle elum
Population 95,794 564
Median Age 28.8 years 35.2 years
Median Income $59,834 $56,400
Married Families 32.0% 47.0%
Poverty Level 12% 10%
Unemployment Rate 3.9 5.0

Population Comparison: Lawrence vs South cle elum

  • In Lawrence, the population is higher at 95,794, compared to 564 in South cle elum.
  • The median age in South cle elum is higher at 35.2 years, compared to 28.8 years in Lawrence.
  • Lawrence has a higher median income of $59,834 compared to $56,400 in South cle elum.
  • In South cle elum, the percentage of married families is higher at 47.0%, compared to 32.0% in Lawrence.
  • Lawrence has a higher poverty level at 12% compared to 10% in South cle elum.
  • South cle elum has a higher unemployment rate at 5.0% compared to 3.9% in Lawrence.

Demographics

Demographics Lawrence vs South cle elum provide insight into the diversity of the communities to compare.

Demographic Lawrence South cle elum
Black 5 Data is updating
White 71 84
Asian 6 Data is updating
Hispanic 7 6
Two or More Races 9 10
American Indian 2 Data is updating

Demographics Comparison: Lawrence vs South cle elum

  • A higher percentage of Black residents are in Lawrence at 5% compared to 0% in South cle elum.
  • The percentage of White residents is higher in South cle elum at 84% compared to 71% in Lawrence.
  • The Asian population is larger in Lawrence at 6% compared to 0% in South cle elum.
  • The Hispanic community is larger in Lawrence at 7% compared to 6% in South cle elum.
  • The percentage of residents identifying as two or more races is higher in South cle elum at 10%, compared to 9% in Lawrence.
  • A greater percentage of American Indian residents live in Lawrence at 2% compared to 0% in South cle elum.

Health Statistics

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

Health Metric Lawrence South cle elum
Mental Health Not Good 16.5% 17.8%
Physical Health Not Good 9.5% 11.9%
Depression 22.3% 26.2%
Smoking 14.8% 16.3%
Binge Drinking 19.6% 18.3%
Obesity 32.8% 31.0%
Disability Percentage 10.0% 26.0%

Health Statistics Comparison: Lawrence vs South cle elum

  • In South cle elum, a higher percentage report poor mental health at 17.8% compared to 16.5% in Lawrence.
  • Higher depression rates are seen in South cle elum at 26.2% versus 22.3% in Lawrence.
  • South cle elum has a higher smoking rate at 16.3% compared to 14.8% in Lawrence.
  • Binge drinking is more common in Lawrence at 19.6% compared to 18.3% in South cle elum.
  • Obesity rates are higher in Lawrence at 32.8% compared to 31.0% in South cle elum.
  • There is a higher percentage of disabled individuals in South cle elum at 26.0% compared to 10.0% in Lawrence.

Education Levels

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

Education Level Lawrence South cle elum
No Schooling 0.5% (466) 0.0% (Data is updating)
High School Diploma 8.2% (7,882) 22.2% (125)
Less than High School 4.0% (3,784) 21.6% (122)
Bachelor's Degree and Higher 31.1% (29,776) 20.6% (116)

Education Levels Comparison: Lawrence vs South cle elum

  • A higher percentage of residents in Lawrence have no formal schooling at 0.5% compared to 0.0% in South cle elum.
  • In South cle elum, the rate of residents with high school diplomas is higher at 22.2% compared to 8.2% in Lawrence.
  • The percentage of residents with less than a high school education is higher in South cle elum at 21.6%, compared to 4.0% in Lawrence.
  • A higher percentage of residents in Lawrence hold a bachelor's degree or higher at 31.1% compared to 20.6% in South cle elum.

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.