Demographics details for Lawrence, KS vs Falling waters, WV

Population Overview

Compare main population characteristics in Lawrence, KS vs Falling waters, WV.

Data Lawrence Falling waters
Population 95,794 2,150
Median Age 28.8 years 32.2 years
Median Income $59,834 $84,038
Married Families 32.0% 29.0%
Poverty Level 12% 9%
Unemployment Rate 3.9 3.5

Population Comparison: Lawrence vs Falling waters

  • In Lawrence, the population is higher at 95,794, compared to 2,150 in Falling waters.
  • The median age in Falling waters is higher at 32.2 years, compared to 28.8 years in Lawrence.
  • Falling waters has a higher median income of $84,038, compared to $59,834 in Lawrence.
  • A higher percentage of married families is found in Lawrence at 32.0% compared to 29.0% in Falling waters.
  • Lawrence has a higher poverty level at 12% compared to 9% in Falling waters.
  • The unemployment rate in Lawrence is higher at 3.9%, compared to 3.5% in Falling waters.

Demographics

Demographics Lawrence vs Falling waters provide insight into the diversity of the communities to compare.

Demographic Lawrence Falling waters
Black 5 6
White 71 92
Asian 6 Data is updating
Hispanic 7 Data is updating
Two or More Races 9 2
American Indian 2 Data is updating

Demographics Comparison: Lawrence vs Falling waters

  • In Falling waters, the percentage of Black residents is higher at 6% compared to 5% in Lawrence.
  • The percentage of White residents is higher in Falling waters at 92% compared to 71% in Lawrence.
  • The Asian population is larger in Lawrence at 6% compared to 0% in Falling waters.
  • The Hispanic community is larger in Lawrence at 7% compared to 0% in Falling waters.
  • More residents identify as two or more races in Lawrence at 9% compared to 2% in Falling waters.
  • A greater percentage of American Indian residents live in Lawrence at 2% compared to 0% in Falling waters.

Health Statistics

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

Health Metric Lawrence Falling waters
Mental Health Not Good 16.5% 18.5%
Physical Health Not Good 9.5% 11.9%
Depression 22.3% 25.7%
Smoking 14.8% 18.7%
Binge Drinking 19.6% 15.2%
Obesity 32.8% 37.6%
Disability Percentage 10.0% 24.0%

Health Statistics Comparison: Lawrence vs Falling waters

  • In Falling waters, a higher percentage report poor mental health at 18.5% compared to 16.5% in Lawrence.
  • Higher depression rates are seen in Falling waters at 25.7% versus 22.3% in Lawrence.
  • Falling waters has a higher smoking rate at 18.7% compared to 14.8% in Lawrence.
  • Binge drinking is more common in Lawrence at 19.6% compared to 15.2% in Falling waters.
  • Falling waters has higher obesity rates at 37.6% compared to 32.8% in Lawrence.
  • There is a higher percentage of disabled individuals in Falling waters at 24.0% 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 Falling waters
No Schooling 0.5% (466) 0.0% (Data is updating)
High School Diploma 8.2% (7,882) 22.4% (482)
Less than High School 4.0% (3,784) 4.7% (102)
Bachelor's Degree and Higher 31.1% (29,776) 11.0% (237)

Education Levels Comparison: Lawrence vs Falling waters

  • A higher percentage of residents in Lawrence have no formal schooling at 0.5% compared to 0.0% in Falling waters.
  • In Falling waters, the rate of residents with high school diplomas is higher at 22.4% compared to 8.2% in Lawrence.
  • The percentage of residents with less than a high school education is higher in Falling waters at 4.7%, 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 11.0% in Falling waters.

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.