Demographics details for Washburn, WI vs Walnut bottom, PA

Population Overview

Compare main population characteristics in Washburn, WI vs Walnut bottom, PA.

Data Washburn Walnut bottom
Population 16,911 422
Median Age 52.2 years 37.0 years
Median Income $58,504 $55,000
Married Families 48.0% 50.0%
Poverty Level 8% 10%
Unemployment Rate 3.3 4.5

Population Comparison: Washburn vs Walnut bottom

  • In Washburn, the population is higher at 16,911, compared to 422 in Walnut bottom.
  • Residents in Washburn have a higher median age of 52.2 years compared to 37.0 years in Walnut bottom.
  • Washburn has a higher median income of $58,504 compared to $55,000 in Walnut bottom.
  • In Walnut bottom, the percentage of married families is higher at 50.0%, compared to 48.0% in Washburn.
  • The poverty level is higher in Walnut bottom at 10%, compared to 8% in Washburn.
  • Walnut bottom has a higher unemployment rate at 4.5% compared to 3.3% in Washburn.

Demographics

Demographics Washburn vs Walnut bottom provide insight into the diversity of the communities to compare.

Demographic Washburn Walnut bottom
Black 1 1
White 92 98
Asian 1 Data is updating
Hispanic 2 1
Two or More Races 3 Data is updating
American Indian 1 Data is updating

Demographics Comparison: Washburn vs Walnut bottom

  • The percentage of Black residents is the same in both Washburn and Walnut bottom at 1%.
  • The percentage of White residents is higher in Walnut bottom at 98% compared to 92% in Washburn.
  • The Asian population is larger in Washburn at 1% compared to 0% in Walnut bottom.
  • The Hispanic community is larger in Washburn at 2% compared to 1% in Walnut bottom.
  • More residents identify as two or more races in Washburn at 3% compared to 0% in Walnut bottom.
  • A greater percentage of American Indian residents live in Washburn at 1% compared to 0% in Walnut bottom.

Health Statistics

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

Health Metric Washburn Walnut bottom
Mental Health Not Good 15.7% Data is updating%
Physical Health Not Good 10.5% Data is updating%
Depression 24.3% Data is updating%
Smoking 17.4% Data is updating%
Binge Drinking 23.4% Data is updating%
Obesity 34.0% Data is updating%
Disability Percentage 16.0% Data is updating%

Health Statistics Comparison: Washburn vs Walnut bottom

  • More residents in Washburn report poor mental health at 15.7% compared to 0.0% in Walnut bottom.
  • Depression is more prevalent in Washburn at 24.3% compared to 0.0% in Walnut bottom.
  • Smoking is more prevalent in Washburn at 17.4% compared to 0.0% in Walnut bottom.
  • Binge drinking is more common in Washburn at 23.4% compared to 0.0% in Walnut bottom.
  • Obesity rates are higher in Washburn at 34.0% compared to 0.0% in Walnut bottom.
  • Disability percentages are higher in Washburn at 16.0% compared to 0.0% in Walnut bottom.

Education Levels

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

Education Level Washburn Walnut bottom
No Schooling 0.7% (115) 0.0% (Data is updating)
High School Diploma 22.9% (3,881) 0.0% (Data is updating)
Less than High School 9.6% (1,628) 0.0% (Data is updating)
Bachelor's Degree and Higher 17.2% (2,913) 0.0% (Data is updating)

Education Levels Comparison: Washburn vs Walnut bottom

  • A higher percentage of residents in Washburn have no formal schooling at 0.7% compared to 0.0% in Walnut bottom.
  • A higher percentage of residents in Washburn hold a high school diploma at 22.9% compared to 0.0% in Walnut bottom.
  • More residents in Washburn have less than a high school education at 9.6% compared to 0.0% in Walnut bottom.
  • A higher percentage of residents in Washburn hold a bachelor's degree or higher at 17.2% compared to 0.0% in Walnut bottom.

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.