Demographics details for Miami beach, FL vs Cedar bluff, VA

Population Overview

Compare main population characteristics in Miami beach, FL vs Cedar bluff, VA.

Data Miami beach Cedar bluff
Population 80,017 1,045
Median Age 42.3 years 48.9 years
Median Income $65,116 $41,094
Married Families 37.0% 54.0%
Poverty Level 11% 8%
Unemployment Rate 2.0 4.2

Population Comparison: Miami beach vs Cedar bluff

  • In Miami beach, the population is higher at 80,017, compared to 1,045 in Cedar bluff.
  • The median age in Cedar bluff is higher at 48.9 years, compared to 42.3 years in Miami beach.
  • Miami beach has a higher median income of $65,116 compared to $41,094 in Cedar bluff.
  • In Cedar bluff, the percentage of married families is higher at 54.0%, compared to 37.0% in Miami beach.
  • Miami beach has a higher poverty level at 11% compared to 8% in Cedar bluff.
  • Cedar bluff has a higher unemployment rate at 4.2% compared to 2.0% in Miami beach.

Demographics

Demographics Miami beach vs Cedar bluff provide insight into the diversity of the communities to compare.

Demographic Miami beach Cedar bluff
Black 5 Data is updating
White 15 100
Asian 2 Data is updating
Hispanic 57 Data is updating
Two or More Races 21 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Miami beach vs Cedar bluff

  • A higher percentage of Black residents are in Miami beach at 5% compared to 0% in Cedar bluff.
  • The percentage of White residents is higher in Cedar bluff at 100% compared to 15% in Miami beach.
  • The Asian population is larger in Miami beach at 2% compared to 0% in Cedar bluff.
  • The Hispanic community is larger in Miami beach at 57% compared to 0% in Cedar bluff.
  • More residents identify as two or more races in Miami beach at 21% compared to 0% in Cedar bluff.
  • The percentage of American Indian residents is the same in both Miami beach and Cedar bluff at 0%.

Health Statistics

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

Health Metric Miami beach Cedar bluff
Mental Health Not Good 14.0% 19.8%
Physical Health Not Good 9.9% 13.5%
Depression 15.3% 28.4%
Smoking 13.1% 21.7%
Binge Drinking 15.7% 18.0%
Obesity 26.3% 36.2%
Disability Percentage 9.0% 22.0%

Health Statistics Comparison: Miami beach vs Cedar bluff

  • In Cedar bluff, a higher percentage report poor mental health at 19.8% compared to 14.0% in Miami beach.
  • Higher depression rates are seen in Cedar bluff at 28.4% versus 15.3% in Miami beach.
  • Cedar bluff has a higher smoking rate at 21.7% compared to 13.1% in Miami beach.
  • More residents engage in binge drinking in Cedar bluff at 18.0% compared to 15.7% in Miami beach.
  • Cedar bluff has higher obesity rates at 36.2% compared to 26.3% in Miami beach.
  • There is a higher percentage of disabled individuals in Cedar bluff at 22.0% compared to 9.0% in Miami beach.

Education Levels

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

Education Level Miami beach Cedar bluff
No Schooling 1.7% (1,321) 0.0% (Data is updating)
High School Diploma 12.9% (10,324) 32.9% (344)
Less than High School 15.6% (12,478) 19.7% (206)
Bachelor's Degree and Higher 41.7% (33,393) 13.0% (136)

Education Levels Comparison: Miami beach vs Cedar bluff

  • A higher percentage of residents in Miami beach have no formal schooling at 1.7% compared to 0.0% in Cedar bluff.
  • In Cedar bluff, the rate of residents with high school diplomas is higher at 32.9% compared to 12.9% in Miami beach.
  • The percentage of residents with less than a high school education is higher in Cedar bluff at 19.7%, compared to 15.6% in Miami beach.
  • A higher percentage of residents in Miami beach hold a bachelor's degree or higher at 41.7% compared to 13.0% in Cedar bluff.

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.