Demographics details for Ormond beach, FL vs Mountain view, CA

Population Overview

Compare main population characteristics in Ormond beach, FL vs Mountain view, CA.

Data Ormond beach Mountain view
Population 44,052 81,059
Median Age 51.9 years 35.5 years
Median Income $65,238 $174,156
Married Families 42.0% 43.0%
Poverty Level 9% 6%
Unemployment Rate 3.5 3.2

Population Comparison: Ormond beach vs Mountain view

  • The population in Mountain view is higher at 81,059, compared to 44,052 in Ormond beach.
  • Residents in Ormond beach have a higher median age of 51.9 years compared to 35.5 years in Mountain view.
  • Mountain view has a higher median income of $174,156, compared to $65,238 in Ormond beach.
  • In Mountain view, the percentage of married families is higher at 43.0%, compared to 42.0% in Ormond beach.
  • Ormond beach has a higher poverty level at 9% compared to 6% in Mountain view.
  • The unemployment rate in Ormond beach is higher at 3.5%, compared to 3.2% in Mountain view.

Demographics

Demographics Ormond beach vs Mountain view provide insight into the diversity of the communities to compare.

Demographic Ormond beach Mountain view
Black 6 2
White 80 32
Asian 3 34
Hispanic 7 19
Two or More Races 4 12
American Indian Data is updating 1

Demographics Comparison: Ormond beach vs Mountain view

  • A higher percentage of Black residents are in Ormond beach at 6% compared to 2% in Mountain view.
  • Ormond beach has a higher percentage of White residents at 80% compared to 32% in Mountain view.
  • In Mountain view, the Asian population stands at 34%, greater than 3% in Ormond beach.
  • Mountain view has a higher percentage of Hispanic residents at 19%, compared to 7% in Ormond beach.
  • The percentage of residents identifying as two or more races is higher in Mountain view at 12%, compared to 4% in Ormond beach.
  • In Mountain view, the percentage of American Indian residents is higher at 1%, compared to 0% in Ormond beach.

Health Statistics

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

Health Metric Ormond beach Mountain view
Mental Health Not Good 16.1% 11.7%
Physical Health Not Good 10.1% 7.1%
Depression 21.1% 14.7%
Smoking 19.2% 6.5%
Binge Drinking 18.8% 14.9%
Obesity 30.8% 19.1%
Disability Percentage 15.0% 6.0%

Health Statistics Comparison: Ormond beach vs Mountain view

  • More residents in Ormond beach report poor mental health at 16.1% compared to 11.7% in Mountain view.
  • Depression is more prevalent in Ormond beach at 21.1% compared to 14.7% in Mountain view.
  • Smoking is more prevalent in Ormond beach at 19.2% compared to 6.5% in Mountain view.
  • Binge drinking is more common in Ormond beach at 18.8% compared to 14.9% in Mountain view.
  • Obesity rates are higher in Ormond beach at 30.8% compared to 19.1% in Mountain view.
  • Disability percentages are higher in Ormond beach at 15.0% compared to 6.0% in Mountain view.

Education Levels

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

Education Level Ormond beach Mountain view
No Schooling 0.4% (173) 1.0% (826)
High School Diploma 16.1% (7,098) 4.9% (3,963)
Less than High School 8.9% (3,901) 7.1% (5,739)
Bachelor's Degree and Higher 26.5% (11,653) 54.5% (44,174)

Education Levels Comparison: Ormond beach vs Mountain view

  • In Mountain view, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Ormond beach.
  • A higher percentage of residents in Ormond beach hold a high school diploma at 16.1% compared to 4.9% in Mountain view.
  • More residents in Ormond beach have less than a high school education at 8.9% compared to 7.1% in Mountain view.
  • In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% compared to 26.5% in Ormond beach.

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.