Demographics details for Avon by the sea, NJ vs Washburn, WI

Population Overview

Compare main population characteristics in Avon by the sea, NJ vs Washburn, WI.

Data Avon by the sea Washburn
Population 1,940 16,911
Median Age 56.2 years 52.2 years
Median Income $106,563 $58,504
Married Families 44.0% 48.0%
Poverty Level Data is updating 8%
Unemployment Rate 4.2 3.3

Population Comparison: Avon by the sea vs Washburn

  • The population in Washburn is higher at 16,911, compared to 1,940 in Avon by the sea.
  • Residents in Avon by the sea have a higher median age of 56.2 years compared to 52.2 years in Washburn.
  • Avon by the sea has a higher median income of $106,563 compared to $58,504 in Washburn.
  • In Washburn, the percentage of married families is higher at 48.0%, compared to 44.0% in Avon by the sea.
  • The poverty level is higher in Washburn at 8%, compared to 0% in Avon by the sea.
  • The unemployment rate in Avon by the sea is higher at 4.2%, compared to 3.3% in Washburn.

Demographics

Demographics Avon by the sea vs Washburn provide insight into the diversity of the communities to compare.

Demographic Avon by the sea Washburn
Black 1 1
White 88 92
Asian 1 1
Hispanic 6 2
Two or More Races 4 3
American Indian Data is updating 1

Demographics Comparison: Avon by the sea vs Washburn

  • The percentage of Black residents is the same in both Avon by the sea and Washburn at 1%.
  • The percentage of White residents is higher in Washburn at 92% compared to 88% in Avon by the sea.
  • Both Avon by the sea and Washburn have the same percentage of Asian residents at 1%.
  • The Hispanic community is larger in Avon by the sea at 6% compared to 2% in Washburn.
  • More residents identify as two or more races in Avon by the sea at 4% compared to 3% in Washburn.
  • In Washburn, the percentage of American Indian residents is higher at 1%, compared to 0% in Avon by the sea.

Health Statistics

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

Health Metric Avon by the sea Washburn
Mental Health Not Good 13.7% 15.7%
Physical Health Not Good 7.7% 10.5%
Depression 20.3% 24.3%
Smoking 9.9% 17.4%
Binge Drinking 19.5% 23.4%
Obesity 25.6% 34.0%
Disability Percentage 10.0% 16.0%

Health Statistics Comparison: Avon by the sea vs Washburn

  • In Washburn, a higher percentage report poor mental health at 15.7% compared to 13.7% in Avon by the sea.
  • Higher depression rates are seen in Washburn at 24.3% versus 20.3% in Avon by the sea.
  • Washburn has a higher smoking rate at 17.4% compared to 9.9% in Avon by the sea.
  • More residents engage in binge drinking in Washburn at 23.4% compared to 19.5% in Avon by the sea.
  • Washburn has higher obesity rates at 34.0% compared to 25.6% in Avon by the sea.
  • There is a higher percentage of disabled individuals in Washburn at 16.0% compared to 10.0% in Avon by the sea.

Education Levels

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

Education Level Avon by the sea Washburn
No Schooling 0.3% (6) 0.7% (115)
High School Diploma 9.7% (188) 22.9% (3,881)
Less than High School 3.5% (67) 9.6% (1,628)
Bachelor's Degree and Higher 52.3% (1,014) 17.2% (2,913)

Education Levels Comparison: Avon by the sea vs Washburn

  • In Washburn, a larger percentage of residents lack formal schooling at 0.7% compared to 0.3% in Avon by the sea.
  • In Washburn, the rate of residents with high school diplomas is higher at 22.9% compared to 9.7% in Avon by the sea.
  • The percentage of residents with less than a high school education is higher in Washburn at 9.6%, compared to 3.5% in Avon by the sea.
  • A higher percentage of residents in Avon by the sea hold a bachelor's degree or higher at 52.3% compared to 17.2% in Washburn.

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.