Demographics details for American fork, UT vs Diamond bar, CA

Population Overview

Compare main population characteristics in American fork, UT vs Diamond bar, CA.

Data American fork Diamond bar
Population 37,268 52,855
Median Age 28.0 years 44.7 years
Median Income $90,490 $106,881
Married Families 42.0% 49.0%
Poverty Level 5% 8%
Unemployment Rate 4.2 4.5

Population Comparison: American fork vs Diamond bar

  • The population in Diamond bar is higher at 52,855, compared to 37,268 in American fork.
  • The median age in Diamond bar is higher at 44.7 years, compared to 28.0 years in American fork.
  • Diamond bar has a higher median income of $106,881, compared to $90,490 in American fork.
  • In Diamond bar, the percentage of married families is higher at 49.0%, compared to 42.0% in American fork.
  • The poverty level is higher in Diamond bar at 8%, compared to 5% in American fork.
  • Diamond bar has a higher unemployment rate at 4.5% compared to 4.2% in American fork.

Demographics

Demographics American fork vs Diamond bar provide insight into the diversity of the communities to compare.

Demographic American fork Diamond bar
Black Data is updating 4
White 84 6
Asian 1 61
Hispanic 9 20
Two or More Races 6 8
American Indian Data is updating 1

Demographics Comparison: American fork vs Diamond bar

  • In Diamond bar, the percentage of Black residents is higher at 4% compared to 0% in American fork.
  • American fork has a higher percentage of White residents at 84% compared to 6% in Diamond bar.
  • In Diamond bar, the Asian population stands at 61%, greater than 1% in American fork.
  • Diamond bar has a higher percentage of Hispanic residents at 20%, compared to 9% in American fork.
  • The percentage of residents identifying as two or more races is higher in Diamond bar at 8%, compared to 6% in American fork.
  • In Diamond bar, the percentage of American Indian residents is higher at 1%, compared to 0% in American fork.

Health Statistics

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

Health Metric American fork Diamond bar
Mental Health Not Good 14.2% 11.4%
Physical Health Not Good 9.8% 7.3%
Depression 23.4% 11.7%
Smoking 6.7% 6.8%
Binge Drinking 8.5% 13.2%
Obesity 29.5% 19.3%
Disability Percentage 8.0% 8.0%

Health Statistics Comparison: American fork vs Diamond bar

  • More residents in American fork report poor mental health at 14.2% compared to 11.4% in Diamond bar.
  • Depression is more prevalent in American fork at 23.4% compared to 11.7% in Diamond bar.
  • Diamond bar has a higher smoking rate at 6.8% compared to 6.7% in American fork.
  • More residents engage in binge drinking in Diamond bar at 13.2% compared to 8.5% in American fork.
  • Obesity rates are higher in American fork at 29.5% compared to 19.3% in Diamond bar.
  • Disability percentages are the same in both American fork and Diamond bar at 8.0%.

Education Levels

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

Education Level American fork Diamond bar
No Schooling 0.6% (208) 2.4% (1,281)
High School Diploma 7.4% (2,742) 9.0% (4,746)
Less than High School 5.7% (2,134) 7.6% (4,036)
Bachelor's Degree and Higher 21.3% (7,922) 39.3% (20,796)

Education Levels Comparison: American fork vs Diamond bar

  • In Diamond bar, a larger percentage of residents lack formal schooling at 2.4% compared to 0.6% in American fork.
  • In Diamond bar, the rate of residents with high school diplomas is higher at 9.0% compared to 7.4% in American fork.
  • The percentage of residents with less than a high school education is higher in Diamond bar at 7.6%, compared to 5.7% in American fork.
  • In Diamond bar, a larger share of residents have a bachelor's degree or higher at 39.3% compared to 21.3% in American fork.

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.