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Demographics details for Avon by the sea, NJ vs Fancy farm, KY

Population Overview

Compare main population characteristics in Avon by the sea, NJ vs Fancy farm, KY.

Data Avon by the sea Fancy farm
Population 1,940 300
Median Age 56.2 years 51.1 years
Median Income $106,563 $55,060
Married Families 44.0% 31.0%
Poverty Level Data is updating 10%
Unemployment Rate 4.2 3.2

Population Comparison: Avon by the sea vs Fancy farm

  • In Avon by the sea, the population is higher at 1,940, compared to 300 in Fancy farm.
  • Residents in Avon by the sea have a higher median age of 56.2 years compared to 51.1 years in Fancy farm.
  • Avon by the sea has a higher median income of $106,563 compared to $55,060 in Fancy farm.
  • A higher percentage of married families is found in Avon by the sea at 44.0% compared to 31.0% in Fancy farm.
  • The poverty level is higher in Fancy farm at 10%, compared to 0% in Avon by the sea.
  • The unemployment rate in Avon by the sea is higher at 4.2%, compared to 3.2% in Fancy farm.

Demographics

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

Demographic Avon by the sea Fancy farm
Black 1 3
White 88 91
Asian 1 Data is updating
Hispanic 6 Data is updating
Two or More Races 4 6
American Indian Data is updating Data is updating

Demographics Comparison: Avon by the sea vs Fancy farm

  • In Fancy farm, the percentage of Black residents is higher at 3% compared to 1% in Avon by the sea.
  • The percentage of White residents is higher in Fancy farm at 91% compared to 88% in Avon by the sea.
  • The Asian population is larger in Avon by the sea at 1% compared to 0% in Fancy farm.
  • The Hispanic community is larger in Avon by the sea at 6% compared to 0% in Fancy farm.
  • The percentage of residents identifying as two or more races is higher in Fancy farm at 6%, compared to 4% in Avon by the sea.
  • The percentage of American Indian residents is the same in both Avon by the sea and Fancy farm at 0%.

Health Statistics

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

Health Metric Avon by the sea Fancy farm
Mental Health Not Good 13.7% 17.9%
Physical Health Not Good 7.7% 12.6%
Depression 20.3% 27.3%
Smoking 9.9% 20.6%
Binge Drinking 19.5% 16.7%
Obesity 25.6% 37.4%
Disability Percentage 10.0% 14.0%

Health Statistics Comparison: Avon by the sea vs Fancy farm

  • In Fancy farm, a higher percentage report poor mental health at 17.9% compared to 13.7% in Avon by the sea.
  • Higher depression rates are seen in Fancy farm at 27.3% versus 20.3% in Avon by the sea.
  • Fancy farm has a higher smoking rate at 20.6% compared to 9.9% in Avon by the sea.
  • Binge drinking is more common in Avon by the sea at 19.5% compared to 16.7% in Fancy farm.
  • Fancy farm has higher obesity rates at 37.4% compared to 25.6% in Avon by the sea.
  • There is a higher percentage of disabled individuals in Fancy farm at 14.0% 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 Fancy farm
No Schooling 0.3% (6) 0.0% (Data is updating)
High School Diploma 9.7% (188) 47.7% (143)
Less than High School 3.5% (67) 5.3% (16)
Bachelor's Degree and Higher 52.3% (1,014) 14.3% (43)

Education Levels Comparison: Avon by the sea vs Fancy farm

  • A higher percentage of residents in Avon by the sea have no formal schooling at 0.3% compared to 0.0% in Fancy farm.
  • In Fancy farm, the rate of residents with high school diplomas is higher at 47.7% compared to 9.7% in Avon by the sea.
  • The percentage of residents with less than a high school education is higher in Fancy farm at 5.3%, 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 14.3% in Fancy farm.

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.