Demographics details for Willow street, PA vs Falling waters, WV

Population Overview

Compare main population characteristics in Willow street, PA vs Falling waters, WV.

Data Willow street Falling waters
Population 9,640 2,150
Median Age 52.8 years 32.2 years
Median Income $100,727 $84,038
Married Families 53.0% 29.0%
Poverty Level 5% 9%
Unemployment Rate 3.2 3.5

Population Comparison: Willow street vs Falling waters

  • In Willow street, the population is higher at 9,640, compared to 2,150 in Falling waters.
  • Residents in Willow street have a higher median age of 52.8 years compared to 32.2 years in Falling waters.
  • Willow street has a higher median income of $100,727 compared to $84,038 in Falling waters.
  • A higher percentage of married families is found in Willow street at 53.0% compared to 29.0% in Falling waters.
  • The poverty level is higher in Falling waters at 9%, compared to 5% in Willow street.
  • Falling waters has a higher unemployment rate at 3.5% compared to 3.2% in Willow street.

Demographics

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

Demographic Willow street Falling waters
Black 2 6
White 81 92
Asian 4 Data is updating
Hispanic 7 Data is updating
Two or More Races 5 2
American Indian 1 Data is updating

Demographics Comparison: Willow street vs Falling waters

  • In Falling waters, the percentage of Black residents is higher at 6% compared to 2% in Willow street.
  • The percentage of White residents is higher in Falling waters at 92% compared to 81% in Willow street.
  • The Asian population is larger in Willow street at 4% compared to 0% in Falling waters.
  • The Hispanic community is larger in Willow street at 7% compared to 0% in Falling waters.
  • More residents identify as two or more races in Willow street at 5% compared to 2% in Falling waters.
  • A greater percentage of American Indian residents live in Willow street at 1% compared to 0% in Falling waters.

Health Statistics

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

Health Metric Willow street Falling waters
Mental Health Not Good 14.8% 18.5%
Physical Health Not Good 9.7% 11.9%
Depression 22.3% 25.7%
Smoking 14.9% 18.7%
Binge Drinking 18.7% 15.2%
Obesity 32.9% 37.6%
Disability Percentage 17.0% 24.0%

Health Statistics Comparison: Willow street vs Falling waters

  • In Falling waters, a higher percentage report poor mental health at 18.5% compared to 14.8% in Willow street.
  • Higher depression rates are seen in Falling waters at 25.7% versus 22.3% in Willow street.
  • Falling waters has a higher smoking rate at 18.7% compared to 14.9% in Willow street.
  • Binge drinking is more common in Willow street at 18.7% compared to 15.2% in Falling waters.
  • Falling waters has higher obesity rates at 37.6% compared to 32.9% in Willow street.
  • There is a higher percentage of disabled individuals in Falling waters at 24.0% compared to 17.0% in Willow street.

Education Levels

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

Education Level Willow street Falling waters
No Schooling 0.3% (32) 0.0% (Data is updating)
High School Diploma 17.8% (1,717) 22.4% (482)
Less than High School 7.6% (734) 4.7% (102)
Bachelor's Degree and Higher 36.5% (3,517) 11.0% (237)

Education Levels Comparison: Willow street vs Falling waters

  • A higher percentage of residents in Willow street have no formal schooling at 0.3% 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 17.8% in Willow street.
  • More residents in Willow street have less than a high school education at 7.6% compared to 4.7% in Falling waters.
  • A higher percentage of residents in Willow street hold a bachelor's degree or higher at 36.5% 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.