Demographics details for Avon by the sea, NJ vs Moorhead, MN

Population Overview

Compare main population characteristics in Avon by the sea, NJ vs Moorhead, MN.

Data Avon by the sea Moorhead
Population 1,940 44,861
Median Age 56.2 years 31.0 years
Median Income $106,563 $68,680
Married Families 44.0% 33.0%
Poverty Level Data is updating 9%
Unemployment Rate 4.2 3.0

Population Comparison: Avon by the sea vs Moorhead

  • The population in Moorhead is higher at 44,861, 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 31.0 years in Moorhead.
  • Avon by the sea has a higher median income of $106,563 compared to $68,680 in Moorhead.
  • A higher percentage of married families is found in Avon by the sea at 44.0% compared to 33.0% in Moorhead.
  • The poverty level is higher in Moorhead at 9%, compared to 0% in Avon by the sea.
  • The unemployment rate in Avon by the sea is higher at 4.2%, compared to 3.0% in Moorhead.

Demographics

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

Demographic Avon by the sea Moorhead
Black 1 6
White 88 81
Asian 1 2
Hispanic 6 5
Two or More Races 4 5
American Indian Data is updating 1

Demographics Comparison: Avon by the sea vs Moorhead

  • In Moorhead, the percentage of Black residents is higher at 6% compared to 1% in Avon by the sea.
  • Avon by the sea has a higher percentage of White residents at 88% compared to 81% in Moorhead.
  • In Moorhead, the Asian population stands at 2%, greater than 1% in Avon by the sea.
  • The Hispanic community is larger in Avon by the sea at 6% compared to 5% in Moorhead.
  • The percentage of residents identifying as two or more races is higher in Moorhead at 5%, compared to 4% in Avon by the sea.
  • In Moorhead, 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 Moorhead
Mental Health Not Good 13.7% 15.6%
Physical Health Not Good 7.7% 9.4%
Depression 20.3% 26.5%
Smoking 9.9% 17.2%
Binge Drinking 19.5% 19.0%
Obesity 25.6% 35.6%
Disability Percentage 10.0% 11.0%

Health Statistics Comparison: Avon by the sea vs Moorhead

  • In Moorhead, a higher percentage report poor mental health at 15.6% compared to 13.7% in Avon by the sea.
  • Higher depression rates are seen in Moorhead at 26.5% versus 20.3% in Avon by the sea.
  • Moorhead has a higher smoking rate at 17.2% compared to 9.9% in Avon by the sea.
  • Binge drinking is more common in Avon by the sea at 19.5% compared to 19.0% in Moorhead.
  • Moorhead has higher obesity rates at 35.6% compared to 25.6% in Avon by the sea.
  • There is a higher percentage of disabled individuals in Moorhead at 11.0% 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 Moorhead
No Schooling 0.3% (6) 0.6% (250)
High School Diploma 9.7% (188) 10.0% (4,508)
Less than High School 3.5% (67) 6.0% (2,686)
Bachelor's Degree and Higher 52.3% (1,014) 22.9% (10,291)

Education Levels Comparison: Avon by the sea vs Moorhead

  • In Moorhead, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Avon by the sea.
  • In Moorhead, the rate of residents with high school diplomas is higher at 10.0% compared to 9.7% in Avon by the sea.
  • The percentage of residents with less than a high school education is higher in Moorhead at 6.0%, 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 22.9% in Moorhead.

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.