Demographics details for Bellingham, WA vs Victorville, CA

Population Overview

Compare main population characteristics in Bellingham, WA vs Victorville, CA.

Data Bellingham Victorville
Population 93,896 137,221
Median Age 33.7 years 31.8 years
Median Income $64,026 $65,746
Married Families 32.0% 31.0%
Poverty Level 11% 12%
Unemployment Rate 4.5 7.5

Population Comparison: Bellingham vs Victorville

  • The population in Victorville is higher at 137,221, compared to 93,896 in Bellingham.
  • Residents in Bellingham have a higher median age of 33.7 years compared to 31.8 years in Victorville.
  • Victorville has a higher median income of $65,746, compared to $64,026 in Bellingham.
  • A higher percentage of married families is found in Bellingham at 32.0% compared to 31.0% in Victorville.
  • The poverty level is higher in Victorville at 12%, compared to 11% in Bellingham.
  • Victorville has a higher unemployment rate at 7.5% compared to 4.5% in Bellingham.

Demographics

Demographics Bellingham vs Victorville provide insight into the diversity of the communities to compare.

Demographic Bellingham Victorville
Black 1 17
White 74 4
Asian 6 4
Hispanic 10 54
Two or More Races 8 19
American Indian 1 2

Demographics Comparison: Bellingham vs Victorville

  • In Victorville, the percentage of Black residents is higher at 17% compared to 1% in Bellingham.
  • Bellingham has a higher percentage of White residents at 74% compared to 4% in Victorville.
  • The Asian population is larger in Bellingham at 6% compared to 4% in Victorville.
  • Victorville has a higher percentage of Hispanic residents at 54%, compared to 10% in Bellingham.
  • The percentage of residents identifying as two or more races is higher in Victorville at 19%, compared to 8% in Bellingham.
  • In Victorville, the percentage of American Indian residents is higher at 2%, compared to 1% in Bellingham.

Health Statistics

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

Health Metric Bellingham Victorville
Mental Health Not Good 17.6% 18.4%
Physical Health Not Good 10.9% 14.4%
Depression 30.0% 19.0%
Smoking 14.1% 16.2%
Binge Drinking 17.3% 14.8%
Obesity 25.6% 41.3%
Disability Percentage 12.0% 13.0%

Health Statistics Comparison: Bellingham vs Victorville

  • In Victorville, a higher percentage report poor mental health at 18.4% compared to 17.6% in Bellingham.
  • Depression is more prevalent in Bellingham at 30.0% compared to 19.0% in Victorville.
  • Victorville has a higher smoking rate at 16.2% compared to 14.1% in Bellingham.
  • Binge drinking is more common in Bellingham at 17.3% compared to 14.8% in Victorville.
  • Victorville has higher obesity rates at 41.3% compared to 25.6% in Bellingham.
  • There is a higher percentage of disabled individuals in Victorville at 13.0% compared to 12.0% in Bellingham.

Education Levels

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

Education Level Bellingham Victorville
No Schooling 0.5% (454) 1.7% (2,334)
High School Diploma 8.8% (8,220) 15.1% (20,711)
Less than High School 6.2% (5,781) 24.1% (33,076)
Bachelor's Degree and Higher 28.9% (27,095) 6.6% (9,125)

Education Levels Comparison: Bellingham vs Victorville

  • In Victorville, a larger percentage of residents lack formal schooling at 1.7% compared to 0.5% in Bellingham.
  • In Victorville, the rate of residents with high school diplomas is higher at 15.1% compared to 8.8% in Bellingham.
  • The percentage of residents with less than a high school education is higher in Victorville at 24.1%, compared to 6.2% in Bellingham.
  • A higher percentage of residents in Bellingham hold a bachelor's degree or higher at 28.9% compared to 6.6% in Victorville.

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.