Demographics details for Silverhill, AL vs Melbourne beach, FL

Population Overview

Compare main population characteristics in Silverhill, AL vs Melbourne beach, FL.

Data Silverhill Melbourne beach
Population 1,369 3,242
Median Age 43.0 years 53.5 years
Median Income $58,510 $80,795
Married Families 26.0% 50.0%
Poverty Level 10% 8%
Unemployment Rate 3.5 4.5

Population Comparison: Silverhill vs Melbourne beach

  • The population in Melbourne beach is higher at 3,242, compared to 1,369 in Silverhill.
  • The median age in Melbourne beach is higher at 53.5 years, compared to 43.0 years in Silverhill.
  • Melbourne beach has a higher median income of $80,795, compared to $58,510 in Silverhill.
  • In Melbourne beach, the percentage of married families is higher at 50.0%, compared to 26.0% in Silverhill.
  • Silverhill has a higher poverty level at 10% compared to 8% in Melbourne beach.
  • Melbourne beach has a higher unemployment rate at 4.5% compared to 3.5% in Silverhill.

Demographics

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

Demographic Silverhill Melbourne beach
Black Data is updating Data is updating
White 90 86
Asian Data is updating 1
Hispanic 7 9
Two or More Races 2 4
American Indian 1 Data is updating

Demographics Comparison: Silverhill vs Melbourne beach

  • The percentage of Black residents is the same in both Silverhill and Melbourne beach at 0%.
  • Silverhill has a higher percentage of White residents at 90% compared to 86% in Melbourne beach.
  • In Melbourne beach, the Asian population stands at 1%, greater than 0% in Silverhill.
  • Melbourne beach has a higher percentage of Hispanic residents at 9%, compared to 7% in Silverhill.
  • The percentage of residents identifying as two or more races is higher in Melbourne beach at 4%, compared to 2% in Silverhill.
  • A greater percentage of American Indian residents live in Silverhill at 1% compared to 0% in Melbourne beach.

Health Statistics

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

Health Metric Silverhill Melbourne beach
Mental Health Not Good 18.7% 14.2%
Physical Health Not Good 12.1% 8.2%
Depression 24.9% 19.2%
Smoking 17.6% 13.6%
Binge Drinking 17.7% 18.2%
Obesity 38.2% 28.6%
Disability Percentage 6.0% 14.0%

Health Statistics Comparison: Silverhill vs Melbourne beach

  • More residents in Silverhill report poor mental health at 18.7% compared to 14.2% in Melbourne beach.
  • Depression is more prevalent in Silverhill at 24.9% compared to 19.2% in Melbourne beach.
  • Smoking is more prevalent in Silverhill at 17.6% compared to 13.6% in Melbourne beach.
  • More residents engage in binge drinking in Melbourne beach at 18.2% compared to 17.7% in Silverhill.
  • Obesity rates are higher in Silverhill at 38.2% compared to 28.6% in Melbourne beach.
  • There is a higher percentage of disabled individuals in Melbourne beach at 14.0% compared to 6.0% in Silverhill.

Education Levels

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

Education Level Silverhill Melbourne beach
No Schooling 2.0% (28) 0.7% (22)
High School Diploma 10.1% (138) 8.5% (275)
Less than High School 5.4% (74) 3.3% (108)
Bachelor's Degree and Higher 11.5% (157) 49.8% (1,616)

Education Levels Comparison: Silverhill vs Melbourne beach

  • A higher percentage of residents in Silverhill have no formal schooling at 2.0% compared to 0.7% in Melbourne beach.
  • A higher percentage of residents in Silverhill hold a high school diploma at 10.1% compared to 8.5% in Melbourne beach.
  • More residents in Silverhill have less than a high school education at 5.4% 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 11.5% in Silverhill.

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.