Demographics details for Incline village, NV vs Beaumont, CA

Population Overview

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

Data Incline village Beaumont
Population 9,163 56,349
Median Age 48.8 years 35.1 years
Median Income $155,195 $102,469
Married Families 54.0% 38.0%
Poverty Level Data is updating 13%
Unemployment Rate 5.2 4.5

Population Comparison: Incline village vs Beaumont

  • The population in Beaumont is higher at 56,349, compared to 9,163 in Incline village.
  • Residents in Incline village have a higher median age of 48.8 years compared to 35.1 years in Beaumont.
  • Incline village has a higher median income of $155,195 compared to $102,469 in Beaumont.
  • A higher percentage of married families is found in Incline village at 54.0% compared to 38.0% in Beaumont.
  • The poverty level is higher in Beaumont at 13%, compared to 0% in Incline village.
  • The unemployment rate in Incline village is higher at 5.2%, compared to 4.5% in Beaumont.

Demographics

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

Demographic Incline village Beaumont
Black 1 10
White 67 24
Asian 1 8
Hispanic 20 44
Two or More Races 11 13
American Indian Data is updating 1

Demographics Comparison: Incline village vs Beaumont

  • In Beaumont, the percentage of Black residents is higher at 10% compared to 1% in Incline village.
  • Incline village has a higher percentage of White residents at 67% compared to 24% in Beaumont.
  • In Beaumont, the Asian population stands at 8%, greater than 1% in Incline village.
  • Beaumont has a higher percentage of Hispanic residents at 44%, compared to 20% in Incline village.
  • The percentage of residents identifying as two or more races is higher in Beaumont at 13%, compared to 11% in Incline village.
  • In Beaumont, 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 Beaumont
Mental Health Not Good 15.7% 15.6%
Physical Health Not Good 9.3% 10.8%
Depression 18.8% 17.3%
Smoking 11.8% 12.5%
Binge Drinking 19.3% 16.7%
Obesity 25.5% 34.6%
Disability Percentage 6.0% 9.0%

Health Statistics Comparison: Incline village vs Beaumont

  • More residents in Incline village report poor mental health at 15.7% compared to 15.6% in Beaumont.
  • Depression is more prevalent in Incline village at 18.8% compared to 17.3% in Beaumont.
  • Beaumont has a higher smoking rate at 12.5% compared to 11.8% in Incline village.
  • Binge drinking is more common in Incline village at 19.3% compared to 16.7% in Beaumont.
  • Beaumont has higher obesity rates at 34.6% compared to 25.5% in Incline village.
  • There is a higher percentage of disabled individuals in Beaumont 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 Beaumont
No Schooling 0.1% (6) 1.1% (605)
High School Diploma 7.7% (704) 13.0% (7,305)
Less than High School 10.8% (989) 11.6% (6,538)
Bachelor's Degree and Higher 47.8% (4,379) 15.8% (8,923)

Education Levels Comparison: Incline village vs Beaumont

  • In Beaumont, a larger percentage of residents lack formal schooling at 1.1% compared to 0.1% in Incline village.
  • In Beaumont, the rate of residents with high school diplomas is higher at 13.0% compared to 7.7% in Incline village.
  • The percentage of residents with less than a high school education is higher in Beaumont at 11.6%, 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 15.8% in Beaumont.

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.