Demographics details for Cedar grove, WV vs Melbourne beach, FL

Population Overview

Compare main population characteristics in Cedar grove, WV vs Melbourne beach, FL.

Data Cedar grove Melbourne beach
Population 693 3,242
Median Age 44.3 years 53.5 years
Median Income $55,600 $80,795
Married Families 31.0% 50.0%
Poverty Level 12% 8%
Unemployment Rate 4.5 4.5

Population Comparison: Cedar grove vs Melbourne beach

  • The population in Melbourne beach is higher at 3,242, compared to 693 in Cedar grove.
  • The median age in Melbourne beach is higher at 53.5 years, compared to 44.3 years in Cedar grove.
  • Melbourne beach has a higher median income of $80,795, compared to $55,600 in Cedar grove.
  • In Melbourne beach, the percentage of married families is higher at 50.0%, compared to 31.0% in Cedar grove.
  • Cedar grove has a higher poverty level at 12% compared to 8% in Melbourne beach.
  • The unemployment rate is the same in both Cedar grove and Melbourne beach at 4.5%.

Demographics

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

Demographic Cedar grove Melbourne beach
Black Data is updating Data is updating
White 98 86
Asian Data is updating 1
Hispanic Data is updating 9
Two or More Races 2 4
American Indian Data is updating Data is updating

Demographics Comparison: Cedar grove vs Melbourne beach

  • The percentage of Black residents is the same in both Cedar grove and Melbourne beach at 0%.
  • Cedar grove has a higher percentage of White residents at 98% compared to 86% in Melbourne beach.
  • In Melbourne beach, the Asian population stands at 1%, greater than 0% in Cedar grove.
  • Melbourne beach has a higher percentage of Hispanic residents at 9%, compared to 0% in Cedar grove.
  • The percentage of residents identifying as two or more races is higher in Melbourne beach at 4%, compared to 2% in Cedar grove.
  • The percentage of American Indian residents is the same in both Cedar grove and Melbourne beach at 0%.

Health Statistics

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

Health Metric Cedar grove Melbourne beach
Mental Health Not Good 22.3% 14.2%
Physical Health Not Good 15.7% 8.2%
Depression 30.1% 19.2%
Smoking 24.6% 13.6%
Binge Drinking 13.9% 18.2%
Obesity 40.4% 28.6%
Disability Percentage 20.0% 14.0%

Health Statistics Comparison: Cedar grove vs Melbourne beach

  • More residents in Cedar grove report poor mental health at 22.3% compared to 14.2% in Melbourne beach.
  • Depression is more prevalent in Cedar grove at 30.1% compared to 19.2% in Melbourne beach.
  • Smoking is more prevalent in Cedar grove at 24.6% compared to 13.6% in Melbourne beach.
  • More residents engage in binge drinking in Melbourne beach at 18.2% compared to 13.9% in Cedar grove.
  • Obesity rates are higher in Cedar grove at 40.4% compared to 28.6% in Melbourne beach.
  • Disability percentages are higher in Cedar grove at 20.0% compared to 14.0% in Melbourne beach.

Education Levels

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

Education Level Cedar grove Melbourne beach
No Schooling 0.6% (4) 0.7% (22)
High School Diploma 21.2% (147) 8.5% (275)
Less than High School 18.5% (128) 3.3% (108)
Bachelor's Degree and Higher 2.3% (16) 49.8% (1,616)

Education Levels Comparison: Cedar grove vs Melbourne beach

  • In Melbourne beach, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Cedar grove.
  • A higher percentage of residents in Cedar grove hold a high school diploma at 21.2% compared to 8.5% in Melbourne beach.
  • More residents in Cedar grove have less than a high school education at 18.5% compared to 3.3% in Melbourne beach.
  • In Melbourne beach, a larger share of residents have a bachelor's degree or higher at 49.8% compared to 2.3% in Cedar grove.

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.