Demographics details for Incline village, NV vs San jose, CA

Population Overview

Compare main population characteristics in Incline village, NV vs San jose, CA.

Data Incline village San jose
Population 9,163 971,233
Median Age 48.8 years 37.8 years
Median Income $155,195 $136,010
Married Families 54.0% 42.0%
Poverty Level Data is updating 11%
Unemployment Rate 5.2 4.2

Population Comparison: Incline village vs San jose

  • The population in San jose is higher at 971,233, compared to 9,163 in Incline village.
  • Residents in Incline village have a higher median age of 48.8 years compared to 37.8 years in San jose.
  • Incline village has a higher median income of $155,195 compared to $136,010 in San jose.
  • A higher percentage of married families is found in Incline village at 54.0% compared to 42.0% in San jose.
  • The poverty level is higher in San jose at 11%, compared to 0% in Incline village.
  • The unemployment rate in Incline village is higher at 5.2%, compared to 4.2% in San jose.

Demographics

Demographics Incline village vs San jose provide insight into the diversity of the communities to compare.

Demographic Incline village San jose
Black 1 3
White 67 12
Asian 1 39
Hispanic 20 32
Two or More Races 11 13
American Indian Data is updating 1

Demographics Comparison: Incline village vs San jose

  • In San jose, the percentage of Black residents is higher at 3% compared to 1% in Incline village.
  • Incline village has a higher percentage of White residents at 67% compared to 12% in San jose.
  • In San jose, the Asian population stands at 39%, greater than 1% in Incline village.
  • San jose has a higher percentage of Hispanic residents at 32%, compared to 20% in Incline village.
  • The percentage of residents identifying as two or more races is higher in San jose at 13%, compared to 11% in Incline village.
  • In San jose, the percentage of American Indian residents is higher at 1%, compared to 0% in Incline village.

Health Statistics

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

Health Metric Incline village San jose
Mental Health Not Good 15.7% 13.1%
Physical Health Not Good 9.3% 8.7%
Depression 18.8% 14.7%
Smoking 11.8% 8.7%
Binge Drinking 19.3% 13.8%
Obesity 25.5% 20.6%
Disability Percentage 6.0% 9.0%

Health Statistics Comparison: Incline village vs San jose

  • More residents in Incline village report poor mental health at 15.7% compared to 13.1% in San jose.
  • Depression is more prevalent in Incline village at 18.8% compared to 14.7% in San jose.
  • Smoking is more prevalent in Incline village at 11.8% compared to 8.7% in San jose.
  • Binge drinking is more common in Incline village at 19.3% compared to 13.8% in San jose.
  • Obesity rates are higher in Incline village at 25.5% compared to 20.6% in San jose.
  • There is a higher percentage of disabled individuals in San jose at 9.0% compared to 6.0% in Incline village.

Education Levels

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

Education Level Incline village San jose
No Schooling 0.1% (6) 2.7% (26,673)
High School Diploma 7.7% (704) 10.3% (100,469)
Less than High School 10.8% (989) 17.0% (165,241)
Bachelor's Degree and Higher 47.8% (4,379) 33.0% (320,589)

Education Levels Comparison: Incline village vs San jose

  • In San jose, a larger percentage of residents lack formal schooling at 2.7% compared to 0.1% in Incline village.
  • In San jose, the rate of residents with high school diplomas is higher at 10.3% compared to 7.7% in Incline village.
  • The percentage of residents with less than a high school education is higher in San jose at 17.0%, compared to 10.8% in Incline village.
  • A higher percentage of residents in Incline village hold a bachelor's degree or higher at 47.8% compared to 33.0% in San jose.

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.