Demographics details for Melbourne beach, FL vs Wyoming, NY

Population Overview

Compare main population characteristics in Melbourne beach, FL vs Wyoming, NY.

Data Melbourne beach Wyoming
Population 3,242 39,666
Median Age 53.5 years 42.9 years
Median Income $80,795 $65,066
Married Families 50.0% 45.0%
Poverty Level 8% 8%
Unemployment Rate 4.5 3.2

Population Comparison: Melbourne beach vs Wyoming

  • The population in Wyoming is higher at 39,666, compared to 3,242 in Melbourne beach.
  • Residents in Melbourne beach have a higher median age of 53.5 years compared to 42.9 years in Wyoming.
  • Melbourne beach has a higher median income of $80,795 compared to $65,066 in Wyoming.
  • A higher percentage of married families is found in Melbourne beach at 50.0% compared to 45.0% in Wyoming.
  • The poverty level is identical in both Melbourne beach and Wyoming at 8%.
  • The unemployment rate in Melbourne beach is higher at 4.5%, compared to 3.2% in Wyoming.

Demographics

Demographics Melbourne beach vs Wyoming provide insight into the diversity of the communities to compare.

Demographic Melbourne beach Wyoming
Black Data is updating 4
White 86 89
Asian 1 1
Hispanic 9 3
Two or More Races 4 3
American Indian Data is updating Data is updating

Demographics Comparison: Melbourne beach vs Wyoming

  • In Wyoming, the percentage of Black residents is higher at 4% compared to 0% in Melbourne beach.
  • The percentage of White residents is higher in Wyoming at 89% compared to 86% in Melbourne beach.
  • Both Melbourne beach and Wyoming have the same percentage of Asian residents at 1%.
  • The Hispanic community is larger in Melbourne beach at 9% compared to 3% in Wyoming.
  • More residents identify as two or more races in Melbourne beach at 4% compared to 3% in Wyoming.
  • The percentage of American Indian residents is the same in both Melbourne beach and Wyoming at 0%.

Health Statistics

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

Health Metric Melbourne beach Wyoming
Mental Health Not Good 14.2% 15.6%
Physical Health Not Good 8.2% 10.8%
Depression 19.2% 21.4%
Smoking 13.6% 20.2%
Binge Drinking 18.2% 19.5%
Obesity 28.6% 39.1%
Disability Percentage 14.0% 13.0%

Health Statistics Comparison: Melbourne beach vs Wyoming

  • In Wyoming, a higher percentage report poor mental health at 15.6% compared to 14.2% in Melbourne beach.
  • Higher depression rates are seen in Wyoming at 21.4% versus 19.2% in Melbourne beach.
  • Wyoming has a higher smoking rate at 20.2% compared to 13.6% in Melbourne beach.
  • More residents engage in binge drinking in Wyoming at 19.5% compared to 18.2% in Melbourne beach.
  • Wyoming has higher obesity rates at 39.1% compared to 28.6% in Melbourne beach.
  • Disability percentages are higher in Melbourne beach at 14.0% compared to 13.0% in Wyoming.

Education Levels

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

Education Level Melbourne beach Wyoming
No Schooling 0.7% (22) 0.9% (348)
High School Diploma 8.5% (275) 22.8% (9,052)
Less than High School 3.3% (108) 16.1% (6,402)
Bachelor's Degree and Higher 49.8% (1,616) 13.6% (5,378)

Education Levels Comparison: Melbourne beach vs Wyoming

  • In Wyoming, a larger percentage of residents lack formal schooling at 0.9% compared to 0.7% in Melbourne beach.
  • In Wyoming, the rate of residents with high school diplomas is higher at 22.8% compared to 8.5% in Melbourne beach.
  • The percentage of residents with less than a high school education is higher in Wyoming at 16.1%, compared to 3.3% in Melbourne beach.
  • A higher percentage of residents in Melbourne beach hold a bachelor's degree or higher at 49.8% compared to 13.6% in Wyoming.

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.