Demographics details for Golden city, MO vs American fork, UT

Population Overview

Compare main population characteristics in Golden city, MO vs American fork, UT.

Data Golden city American fork
Population 654 37,268
Median Age 55.0 years 28.0 years
Median Income $37,679 $90,490
Married Families 37.0% 42.0%
Poverty Level 10% 5%
Unemployment Rate 3.5 4.2

Population Comparison: Golden city vs American fork

  • The population in American fork is higher at 37,268, compared to 654 in Golden city.
  • Residents in Golden city have a higher median age of 55.0 years compared to 28.0 years in American fork.
  • American fork has a higher median income of $90,490, compared to $37,679 in Golden city.
  • In American fork, the percentage of married families is higher at 42.0%, compared to 37.0% in Golden city.
  • Golden city has a higher poverty level at 10% compared to 5% in American fork.
  • American fork has a higher unemployment rate at 4.2% compared to 3.5% in Golden city.

Demographics

Demographics Golden city vs American fork provide insight into the diversity of the communities to compare.

Demographic Golden city American fork
Black Data is updating Data is updating
White 89 84
Asian Data is updating 1
Hispanic 3 9
Two or More Races 6 6
American Indian 2 Data is updating

Demographics Comparison: Golden city vs American fork

  • The percentage of Black residents is the same in both Golden city and American fork at 0%.
  • Golden city has a higher percentage of White residents at 89% compared to 84% in American fork.
  • In American fork, the Asian population stands at 1%, greater than 0% in Golden city.
  • American fork has a higher percentage of Hispanic residents at 9%, compared to 3% in Golden city.
  • Both Golden city and American fork have the same percentage of residents identifying as two or more races at 6%.
  • A greater percentage of American Indian residents live in Golden city at 2% compared to 0% in American fork.

Health Statistics

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

Health Metric Golden city American fork
Mental Health Not Good 18.3% 14.2%
Physical Health Not Good 13.3% 9.8%
Depression 25.1% 23.4%
Smoking 22.9% 6.7%
Binge Drinking 18.0% 8.5%
Obesity 40.9% 29.5%
Disability Percentage 24.0% 8.0%

Health Statistics Comparison: Golden city vs American fork

  • More residents in Golden city report poor mental health at 18.3% compared to 14.2% in American fork.
  • Depression is more prevalent in Golden city at 25.1% compared to 23.4% in American fork.
  • Smoking is more prevalent in Golden city at 22.9% compared to 6.7% in American fork.
  • Binge drinking is more common in Golden city at 18.0% compared to 8.5% in American fork.
  • Obesity rates are higher in Golden city at 40.9% compared to 29.5% in American fork.
  • Disability percentages are higher in Golden city at 24.0% compared to 8.0% in American fork.

Education Levels

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

Education Level Golden city American fork
No Schooling 2.6% (17) 0.6% (208)
High School Diploma 30.6% (200) 7.4% (2,742)
Less than High School 17.6% (115) 5.7% (2,134)
Bachelor's Degree and Higher 12.8% (84) 21.3% (7,922)

Education Levels Comparison: Golden city vs American fork

  • A higher percentage of residents in Golden city have no formal schooling at 2.6% compared to 0.6% in American fork.
  • A higher percentage of residents in Golden city hold a high school diploma at 30.6% compared to 7.4% in American fork.
  • More residents in Golden city have less than a high school education at 17.6% compared to 5.7% in American fork.
  • In American fork, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 12.8% in Golden city.

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.