Demographics details for Ontario, CA vs Melbourne beach, FL

Population Overview

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

Data Ontario Melbourne beach
Population 184,705 3,242
Median Age 34.3 years 53.5 years
Median Income $67,659 $80,795
Married Families 30.5% 50.0%
Poverty Level 14% 8%
Unemployment Rate 5.1 4.5

Population Comparison: Ontario vs Melbourne beach

  • In Ontario, the population is higher at 184,705, compared to 3,242 in Melbourne beach.
  • The median age in Melbourne beach is higher at 53.5 years, compared to 34.3 years in Ontario.
  • Melbourne beach has a higher median income of $80,795, compared to $67,659 in Ontario.
  • In Melbourne beach, the percentage of married families is higher at 50.0%, compared to 30.5% in Ontario.
  • Ontario has a higher poverty level at 14% compared to 8% in Melbourne beach.
  • The unemployment rate in Ontario is higher at 5.1%, compared to 4.5% in Melbourne beach.

Demographics

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

Demographic Ontario Melbourne beach
Black 8.5 Data is updating
White 36.2 86
Asian 6.0 1
Hispanic 44.5 9
Two or More Races 4.8 4
American Indian 0.5 Data is updating

Demographics Comparison: Ontario vs Melbourne beach

  • A higher percentage of Black residents are in Ontario at 8.5% compared to 0% in Melbourne beach.
  • The percentage of White residents is higher in Melbourne beach at 86% compared to 36.2% in Ontario.
  • The Asian population is larger in Ontario at 6.0% compared to 1% in Melbourne beach.
  • The Hispanic community is larger in Ontario at 44.5% compared to 9% in Melbourne beach.
  • More residents identify as two or more races in Ontario at 4.8% compared to 4% in Melbourne beach.
  • A greater percentage of American Indian residents live in Ontario at 0.5% compared to 0% in Melbourne beach.

Health Statistics

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

Health Metric Ontario Melbourne beach
Mental Health Not Good Data is updating% 14.2%
Physical Health Not Good Data is updating% 8.2%
Depression Data is updating% 19.2%
Smoking Data is updating% 13.6%
Binge Drinking Data is updating% 18.2%
Obesity Data is updating% 28.6%
Disability Percentage Data is updating% 14.0%

Health Statistics Comparison: Ontario vs Melbourne beach

  • In Melbourne beach, a higher percentage report poor mental health at 14.2% compared to 0.0% in Ontario.
  • Higher depression rates are seen in Melbourne beach at 19.2% versus 0.0% in Ontario.
  • Melbourne beach has a higher smoking rate at 13.6% compared to 0.0% in Ontario.
  • More residents engage in binge drinking in Melbourne beach at 18.2% compared to 0.0% in Ontario.
  • Melbourne beach has higher obesity rates at 28.6% compared to 0.0% in Ontario.
  • There is a higher percentage of disabled individuals in Melbourne beach at 14.0% compared to 0.0% in Ontario.

Education Levels

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

Education Level Ontario Melbourne beach
No Schooling 0.0% (Data is updating) 0.7% (22)
High School Diploma 0.0% (Data is updating) 8.5% (275)
Less than High School 0.0% (Data is updating) 3.3% (108)
Bachelor's Degree and Higher 0.0% (Data is updating) 49.8% (1,616)

Education Levels Comparison: Ontario vs Melbourne beach

  • In Melbourne beach, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Ontario.
  • In Melbourne beach, the rate of residents with high school diplomas is higher at 8.5% compared to 0.0% in Ontario.
  • The percentage of residents with less than a high school education is higher in Melbourne beach at 3.3%, compared to 0.0% in Ontario.
  • In Melbourne beach, a larger share of residents have a bachelor's degree or higher at 49.8% compared to 0.0% in Ontario.

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.