Demographics details for Mountain view, CA vs Lorida, FL

Population Overview

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

Data Mountain view Lorida
Population 81,059 500
Median Age 35.5 years 50.0 years
Median Income $174,156 $60,000
Married Families 43.0% 80.0%
Poverty Level 6% 12%
Unemployment Rate 3.2 5.0

Population Comparison: Mountain view vs Lorida

  • In Mountain view, the population is higher at 81,059, compared to 500 in Lorida.
  • The median age in Lorida is higher at 50.0 years, compared to 35.5 years in Mountain view.
  • Mountain view has a higher median income of $174,156 compared to $60,000 in Lorida.
  • In Lorida, the percentage of married families is higher at 80.0%, compared to 43.0% in Mountain view.
  • The poverty level is higher in Lorida at 12%, compared to 6% in Mountain view.
  • Lorida has a higher unemployment rate at 5.0% compared to 3.2% in Mountain view.

Demographics

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

Demographic Mountain view Lorida
Black 2 2
White 32 95
Asian 34 1
Hispanic 19 2
Two or More Races 12 Data is updating
American Indian 1 Data is updating

Demographics Comparison: Mountain view vs Lorida

  • The percentage of Black residents is the same in both Mountain view and Lorida at 2%.
  • The percentage of White residents is higher in Lorida at 95% compared to 32% in Mountain view.
  • The Asian population is larger in Mountain view at 34% compared to 1% in Lorida.
  • The Hispanic community is larger in Mountain view at 19% compared to 2% in Lorida.
  • More residents identify as two or more races in Mountain view at 12% compared to 0% in Lorida.
  • A greater percentage of American Indian residents live in Mountain view at 1% compared to 0% in Lorida.

Health Statistics

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

Health Metric Mountain view Lorida
Mental Health Not Good 11.7% Data is updating%
Physical Health Not Good 7.1% Data is updating%
Depression 14.7% Data is updating%
Smoking 6.5% Data is updating%
Binge Drinking 14.9% Data is updating%
Obesity 19.1% Data is updating%
Disability Percentage 6.0% Data is updating%

Health Statistics Comparison: Mountain view vs Lorida

  • More residents in Mountain view report poor mental health at 11.7% compared to 0.0% in Lorida.
  • Depression is more prevalent in Mountain view at 14.7% compared to 0.0% in Lorida.
  • Smoking is more prevalent in Mountain view at 6.5% compared to 0.0% in Lorida.
  • Binge drinking is more common in Mountain view at 14.9% compared to 0.0% in Lorida.
  • Obesity rates are higher in Mountain view at 19.1% compared to 0.0% in Lorida.
  • Disability percentages are higher in Mountain view at 6.0% compared to 0.0% in Lorida.

Education Levels

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

Education Level Mountain view Lorida
No Schooling 1.0% (826) 0.0% (Data is updating)
High School Diploma 4.9% (3,963) 0.0% (Data is updating)
Less than High School 7.1% (5,739) 0.0% (Data is updating)
Bachelor's Degree and Higher 54.5% (44,174) 0.0% (Data is updating)

Education Levels Comparison: Mountain view vs Lorida

  • A higher percentage of residents in Mountain view have no formal schooling at 1.0% compared to 0.0% in Lorida.
  • A higher percentage of residents in Mountain view hold a high school diploma at 4.9% compared to 0.0% in Lorida.
  • More residents in Mountain view have less than a high school education at 7.1% compared to 0.0% in Lorida.
  • A higher percentage of residents in Mountain view hold a bachelor's degree or higher at 54.5% compared to 0.0% in Lorida.

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.