Demographics details for Williamsburg, KY vs Pleasant grove, UT

Population Overview

Compare main population characteristics in Williamsburg, KY vs Pleasant grove, UT.

Data Williamsburg Pleasant grove
Population 5,163 37,630
Median Age 27.3 years 27.6 years
Median Income $33,875 $91,322
Married Families 29.0% 45.0%
Poverty Level 19% 7%
Unemployment Rate 4.5 3.6

Population Comparison: Williamsburg vs Pleasant grove

  • The population in Pleasant grove is higher at 37,630, compared to 5,163 in Williamsburg.
  • The median age in Pleasant grove is higher at 27.6 years, compared to 27.3 years in Williamsburg.
  • Pleasant grove has a higher median income of $91,322, compared to $33,875 in Williamsburg.
  • In Pleasant grove, the percentage of married families is higher at 45.0%, compared to 29.0% in Williamsburg.
  • Williamsburg has a higher poverty level at 19% compared to 7% in Pleasant grove.
  • The unemployment rate in Williamsburg is higher at 4.5%, compared to 3.6% in Pleasant grove.

Demographics

Demographics Williamsburg vs Pleasant grove provide insight into the diversity of the communities to compare.

Demographic Williamsburg Pleasant grove
Black 4 Data is updating
White 90 81
Asian 1 2
Hispanic 3 10
Two or More Races 2 7
American Indian Data is updating Data is updating

Demographics Comparison: Williamsburg vs Pleasant grove

  • A higher percentage of Black residents are in Williamsburg at 4% compared to 0% in Pleasant grove.
  • Williamsburg has a higher percentage of White residents at 90% compared to 81% in Pleasant grove.
  • In Pleasant grove, the Asian population stands at 2%, greater than 1% in Williamsburg.
  • Pleasant grove has a higher percentage of Hispanic residents at 10%, compared to 3% in Williamsburg.
  • The percentage of residents identifying as two or more races is higher in Pleasant grove at 7%, compared to 2% in Williamsburg.
  • The percentage of American Indian residents is the same in both Williamsburg and Pleasant grove at 0%.

Health Statistics

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

Health Metric Williamsburg Pleasant grove
Mental Health Not Good 21.8% 14.8%
Physical Health Not Good 16.6% 10.3%
Depression 32.0% 23.9%
Smoking 26.4% 7.2%
Binge Drinking 14.1% 8.3%
Obesity 42.9% 30.6%
Disability Percentage 24.0% 9.0%

Health Statistics Comparison: Williamsburg vs Pleasant grove

  • More residents in Williamsburg report poor mental health at 21.8% compared to 14.8% in Pleasant grove.
  • Depression is more prevalent in Williamsburg at 32.0% compared to 23.9% in Pleasant grove.
  • Smoking is more prevalent in Williamsburg at 26.4% compared to 7.2% in Pleasant grove.
  • Binge drinking is more common in Williamsburg at 14.1% compared to 8.3% in Pleasant grove.
  • Obesity rates are higher in Williamsburg at 42.9% compared to 30.6% in Pleasant grove.
  • Disability percentages are higher in Williamsburg at 24.0% compared to 9.0% in Pleasant grove.

Education Levels

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

Education Level Williamsburg Pleasant grove
No Schooling 0.2% (11) 0.6% (207)
High School Diploma 12.5% (647) 8.2% (3,089)
Less than High School 24.8% (1,280) 4.9% (1,844)
Bachelor's Degree and Higher 12.3% (633) 22.1% (8,335)

Education Levels Comparison: Williamsburg vs Pleasant grove

  • In Pleasant grove, a larger percentage of residents lack formal schooling at 0.6% compared to 0.2% in Williamsburg.
  • A higher percentage of residents in Williamsburg hold a high school diploma at 12.5% compared to 8.2% in Pleasant grove.
  • More residents in Williamsburg have less than a high school education at 24.8% compared to 4.9% in Pleasant grove.
  • In Pleasant grove, a larger share of residents have a bachelor's degree or higher at 22.1% compared to 12.3% in Williamsburg.

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.