Demographics details for Falling waters, WV vs Westmont, IL

Population Overview

Compare main population characteristics in Falling waters, WV vs Westmont, IL.

Data Falling waters Westmont
Population 2,150 23,976
Median Age 32.2 years 40.6 years
Median Income $84,038 $82,519
Married Families 29.0% 43.0%
Poverty Level 9% 5%
Unemployment Rate 3.5 5.5

Population Comparison: Falling waters vs Westmont

  • The population in Westmont is higher at 23,976, compared to 2,150 in Falling waters.
  • The median age in Westmont is higher at 40.6 years, compared to 32.2 years in Falling waters.
  • Falling waters has a higher median income of $84,038 compared to $82,519 in Westmont.
  • In Westmont, the percentage of married families is higher at 43.0%, compared to 29.0% in Falling waters.
  • Falling waters has a higher poverty level at 9% compared to 5% in Westmont.
  • Westmont has a higher unemployment rate at 5.5% compared to 3.5% in Falling waters.

Demographics

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

Demographic Falling waters Westmont
Black 6 6
White 92 60
Asian Data is updating 14
Hispanic Data is updating 13
Two or More Races 2 7
American Indian Data is updating Data is updating

Demographics Comparison: Falling waters vs Westmont

  • The percentage of Black residents is the same in both Falling waters and Westmont at 6%.
  • Falling waters has a higher percentage of White residents at 92% compared to 60% in Westmont.
  • In Westmont, the Asian population stands at 14%, greater than 0% in Falling waters.
  • Westmont has a higher percentage of Hispanic residents at 13%, compared to 0% in Falling waters.
  • The percentage of residents identifying as two or more races is higher in Westmont at 7%, compared to 2% in Falling waters.
  • The percentage of American Indian residents is the same in both Falling waters and Westmont at 0%.

Health Statistics

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

Health Metric Falling waters Westmont
Mental Health Not Good 18.5% 12.7%
Physical Health Not Good 11.9% 8.4%
Depression 25.7% 17.1%
Smoking 18.7% 11.4%
Binge Drinking 15.2% 15.8%
Obesity 37.6% 30.9%
Disability Percentage 24.0% 11.0%

Health Statistics Comparison: Falling waters vs Westmont

  • More residents in Falling waters report poor mental health at 18.5% compared to 12.7% in Westmont.
  • Depression is more prevalent in Falling waters at 25.7% compared to 17.1% in Westmont.
  • Smoking is more prevalent in Falling waters at 18.7% compared to 11.4% in Westmont.
  • More residents engage in binge drinking in Westmont at 15.8% compared to 15.2% in Falling waters.
  • Obesity rates are higher in Falling waters at 37.6% compared to 30.9% in Westmont.
  • Disability percentages are higher in Falling waters at 24.0% compared to 11.0% in Westmont.

Education Levels

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

Education Level Falling waters Westmont
No Schooling 0.0% (Data is updating) 1.0% (229)
High School Diploma 22.4% (482) 14.1% (3,392)
Less than High School 4.7% (102) 6.0% (1,432)
Bachelor's Degree and Higher 11.0% (237) 36.3% (8,715)

Education Levels Comparison: Falling waters vs Westmont

  • In Westmont, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Falling waters.
  • A higher percentage of residents in Falling waters hold a high school diploma at 22.4% compared to 14.1% in Westmont.
  • The percentage of residents with less than a high school education is higher in Westmont at 6.0%, compared to 4.7% in Falling waters.
  • In Westmont, a larger share of residents have a bachelor's degree or higher at 36.3% 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.