Demographics details for Melbourne beach, FL vs Culver city, CA

Population Overview

Compare main population characteristics in Melbourne beach, FL vs Culver city, CA.

Data Melbourne beach Culver city
Population 3,242 39,515
Median Age 53.5 years 41.5 years
Median Income $80,795 $114,429
Married Families 50.0% 43.0%
Poverty Level 8% 9%
Unemployment Rate 4.5 5.8

Population Comparison: Melbourne beach vs Culver city

  • The population in Culver city is higher at 39,515, compared to 3,242 in Melbourne beach.
  • Residents in Melbourne beach have a higher median age of 53.5 years compared to 41.5 years in Culver city.
  • Culver city has a higher median income of $114,429, compared to $80,795 in Melbourne beach.
  • A higher percentage of married families is found in Melbourne beach at 50.0% compared to 43.0% in Culver city.
  • The poverty level is higher in Culver city at 9%, compared to 8% in Melbourne beach.
  • Culver city has a higher unemployment rate at 5.8% compared to 4.5% in Melbourne beach.

Demographics

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

Demographic Melbourne beach Culver city
Black Data is updating 8
White 86 38
Asian 1 18
Hispanic 9 21
Two or More Races 4 15
American Indian Data is updating Data is updating

Demographics Comparison: Melbourne beach vs Culver city

  • In Culver city, the percentage of Black residents is higher at 8% compared to 0% in Melbourne beach.
  • Melbourne beach has a higher percentage of White residents at 86% compared to 38% in Culver city.
  • In Culver city, the Asian population stands at 18%, greater than 1% in Melbourne beach.
  • Culver city has a higher percentage of Hispanic residents at 21%, compared to 9% in Melbourne beach.
  • The percentage of residents identifying as two or more races is higher in Culver city at 15%, compared to 4% in Melbourne beach.
  • The percentage of American Indian residents is the same in both Melbourne beach and Culver city at 0%.

Health Statistics

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

Health Metric Melbourne beach Culver city
Mental Health Not Good 14.2% 13.1%
Physical Health Not Good 8.2% 8.1%
Depression 19.2% 15.2%
Smoking 13.6% 7.5%
Binge Drinking 18.2% 16.5%
Obesity 28.6% 24.1%
Disability Percentage 14.0% 9.0%

Health Statistics Comparison: Melbourne beach vs Culver city

  • More residents in Melbourne beach report poor mental health at 14.2% compared to 13.1% in Culver city.
  • Depression is more prevalent in Melbourne beach at 19.2% compared to 15.2% in Culver city.
  • Smoking is more prevalent in Melbourne beach at 13.6% compared to 7.5% in Culver city.
  • Binge drinking is more common in Melbourne beach at 18.2% compared to 16.5% in Culver city.
  • Obesity rates are higher in Melbourne beach at 28.6% compared to 24.1% in Culver city.
  • Disability percentages are higher in Melbourne beach at 14.0% compared to 9.0% in Culver city.

Education Levels

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

Education Level Melbourne beach Culver city
No Schooling 0.7% (22) 1.3% (501)
High School Diploma 8.5% (275) 7.6% (3,000)
Less than High School 3.3% (108) 9.1% (3,605)
Bachelor's Degree and Higher 49.8% (1,616) 49.0% (19,344)

Education Levels Comparison: Melbourne beach vs Culver city

  • In Culver city, a larger percentage of residents lack formal schooling at 1.3% compared to 0.7% in Melbourne beach.
  • A higher percentage of residents in Melbourne beach hold a high school diploma at 8.5% compared to 7.6% in Culver city.
  • The percentage of residents with less than a high school education is higher in Culver city at 9.1%, 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 49.0% in Culver city.

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.