Demographics details for Hoffman estates, IL vs Lexington, KY

Population Overview

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

Data Hoffman estates Lexington
Population 50,682 320,347
Median Age 38.1 years 35.2 years
Median Income $107,428 $66,087
Married Families 48.0% 36.0%
Poverty Level 4% 11%
Unemployment Rate 5.2 4.2

Population Comparison: Hoffman estates vs Lexington

  • The population in Lexington is higher at 320,347, compared to 50,682 in Hoffman estates.
  • Residents in Hoffman estates have a higher median age of 38.1 years compared to 35.2 years in Lexington.
  • Hoffman estates has a higher median income of $107,428 compared to $66,087 in Lexington.
  • A higher percentage of married families is found in Hoffman estates at 48.0% compared to 36.0% in Lexington.
  • The poverty level is higher in Lexington at 11%, compared to 4% in Hoffman estates.
  • The unemployment rate in Hoffman estates is higher at 5.2%, compared to 4.2% in Lexington.

Demographics

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

Demographic Hoffman estates Lexington
Black 6 15
White 43 68
Asian 25 4
Hispanic 18 7
Two or More Races 8 6
American Indian Data is updating Data is updating

Demographics Comparison: Hoffman estates vs Lexington

  • In Lexington, the percentage of Black residents is higher at 15% compared to 6% in Hoffman estates.
  • The percentage of White residents is higher in Lexington at 68% compared to 43% in Hoffman estates.
  • The Asian population is larger in Hoffman estates at 25% compared to 4% in Lexington.
  • The Hispanic community is larger in Hoffman estates at 18% compared to 7% in Lexington.
  • More residents identify as two or more races in Hoffman estates at 8% compared to 6% in Lexington.
  • The percentage of American Indian residents is the same in both Hoffman estates and Lexington at 0%.

Health Statistics

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

Health Metric Hoffman estates Lexington
Mental Health Not Good 12.0% 17.1%
Physical Health Not Good 8.1% 12.0%
Depression 15.6% 24.0%
Smoking 10.6% 17.0%
Binge Drinking 17.9% 15.9%
Obesity 24.9% 36.0%
Disability Percentage 8.0% 12.0%

Health Statistics Comparison: Hoffman estates vs Lexington

  • In Lexington, a higher percentage report poor mental health at 17.1% compared to 12.0% in Hoffman estates.
  • Higher depression rates are seen in Lexington at 24.0% versus 15.6% in Hoffman estates.
  • Lexington has a higher smoking rate at 17.0% compared to 10.6% in Hoffman estates.
  • Binge drinking is more common in Hoffman estates at 17.9% compared to 15.9% in Lexington.
  • Lexington has higher obesity rates at 36.0% compared to 24.9% in Hoffman estates.
  • There is a higher percentage of disabled individuals in Lexington at 12.0% 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 Hoffman estates Lexington
No Schooling 1.0% (512) 0.6% (2,032)
High School Diploma 10.9% (5,509) 9.9% (31,844)
Less than High School 10.3% (5,235) 8.7% (27,787)
Bachelor's Degree and Higher 34.4% (17,439) 30.4% (97,540)

Education Levels Comparison: Hoffman estates vs Lexington

  • A higher percentage of residents in Hoffman estates have no formal schooling at 1.0% compared to 0.6% in Lexington.
  • A higher percentage of residents in Hoffman estates hold a high school diploma at 10.9% compared to 9.9% in Lexington.
  • More residents in Hoffman estates have less than a high school education at 10.3% compared to 8.7% in Lexington.
  • A higher percentage of residents in Hoffman estates hold a bachelor's degree or higher at 34.4% compared to 30.4% in Lexington.

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.