Demographics details for Hickman, KY vs Hoffman estates, IL

Population Overview

Compare main population characteristics in Hickman, KY vs Hoffman estates, IL.

Data Hickman Hoffman estates
Population 4,422 50,682
Median Age 46.6 years 38.1 years
Median Income $68,589 $107,428
Married Families 41.0% 48.0%
Poverty Level 12% 4%
Unemployment Rate 5.7 5.2

Population Comparison: Hickman vs Hoffman estates

  • The population in Hoffman estates is higher at 50,682, compared to 4,422 in Hickman.
  • Residents in Hickman have a higher median age of 46.6 years compared to 38.1 years in Hoffman estates.
  • Hoffman estates has a higher median income of $107,428, compared to $68,589 in Hickman.
  • In Hoffman estates, the percentage of married families is higher at 48.0%, compared to 41.0% in Hickman.
  • Hickman has a higher poverty level at 12% compared to 4% in Hoffman estates.
  • The unemployment rate in Hickman is higher at 5.7%, compared to 5.2% in Hoffman estates.

Demographics

Demographics Hickman vs Hoffman estates provide insight into the diversity of the communities to compare.

Demographic Hickman Hoffman estates
Black 10 6
White 85 43
Asian Data is updating 25
Hispanic 2 18
Two or More Races 3 8
American Indian Data is updating Data is updating

Demographics Comparison: Hickman vs Hoffman estates

  • A higher percentage of Black residents are in Hickman at 10% compared to 6% in Hoffman estates.
  • Hickman has a higher percentage of White residents at 85% compared to 43% in Hoffman estates.
  • In Hoffman estates, the Asian population stands at 25%, greater than 0% in Hickman.
  • Hoffman estates has a higher percentage of Hispanic residents at 18%, compared to 2% in Hickman.
  • The percentage of residents identifying as two or more races is higher in Hoffman estates at 8%, compared to 3% in Hickman.
  • The percentage of American Indian residents is the same in both Hickman and Hoffman estates at 0%.

Health Statistics

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

Health Metric Hickman Hoffman estates
Mental Health Not Good 19.6% 12.0%
Physical Health Not Good 14.9% 8.1%
Depression 27.9% 15.6%
Smoking 23.5% 10.6%
Binge Drinking 14.4% 17.9%
Obesity 38.9% 24.9%
Disability Percentage 20.0% 8.0%

Health Statistics Comparison: Hickman vs Hoffman estates

  • More residents in Hickman report poor mental health at 19.6% compared to 12.0% in Hoffman estates.
  • Depression is more prevalent in Hickman at 27.9% compared to 15.6% in Hoffman estates.
  • Smoking is more prevalent in Hickman at 23.5% compared to 10.6% in Hoffman estates.
  • More residents engage in binge drinking in Hoffman estates at 17.9% compared to 14.4% in Hickman.
  • Obesity rates are higher in Hickman at 38.9% compared to 24.9% in Hoffman estates.
  • Disability percentages are higher in Hickman at 20.0% compared to 8.0% in Hoffman estates.

Education Levels

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

Education Level Hickman Hoffman estates
No Schooling 0.2% (11) 1.0% (512)
High School Diploma 23.3% (1,029) 10.9% (5,509)
Less than High School 15.5% (685) 10.3% (5,235)
Bachelor's Degree and Higher 16.5% (728) 34.4% (17,439)

Education Levels Comparison: Hickman vs Hoffman estates

  • In Hoffman estates, a larger percentage of residents lack formal schooling at 1.0% compared to 0.2% in Hickman.
  • A higher percentage of residents in Hickman hold a high school diploma at 23.3% compared to 10.9% in Hoffman estates.
  • More residents in Hickman have less than a high school education at 15.5% compared to 10.3% in Hoffman estates.
  • In Hoffman estates, a larger share of residents have a bachelor's degree or higher at 34.4% compared to 16.5% in Hickman.

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.