Demographics details for Hoffman estates, IL vs Minot, ND

Population Overview

Compare main population characteristics in Hoffman estates, IL vs Minot, ND.

Data Hoffman estates Minot
Population 50,682 47,759
Median Age 38.1 years 33.0 years
Median Income $107,428 $75,545
Married Families 48.0% 39.0%
Poverty Level 4% 10%
Unemployment Rate 5.2 2.7

Population Comparison: Hoffman estates vs Minot

  • In Hoffman estates, the population is higher at 50,682, compared to 47,759 in Minot.
  • Residents in Hoffman estates have a higher median age of 38.1 years compared to 33.0 years in Minot.
  • Hoffman estates has a higher median income of $107,428 compared to $75,545 in Minot.
  • A higher percentage of married families is found in Hoffman estates at 48.0% compared to 39.0% in Minot.
  • The poverty level is higher in Minot at 10%, compared to 4% in Hoffman estates.
  • The unemployment rate in Hoffman estates is higher at 5.2%, compared to 2.7% in Minot.

Demographics

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

Demographic Hoffman estates Minot
Black 6 4
White 43 78
Asian 25 2
Hispanic 18 7
Two or More Races 8 7
American Indian Data is updating 2

Demographics Comparison: Hoffman estates vs Minot

  • A higher percentage of Black residents are in Hoffman estates at 6% compared to 4% in Minot.
  • The percentage of White residents is higher in Minot at 78% compared to 43% in Hoffman estates.
  • The Asian population is larger in Hoffman estates at 25% compared to 2% in Minot.
  • The Hispanic community is larger in Hoffman estates at 18% compared to 7% in Minot.
  • More residents identify as two or more races in Hoffman estates at 8% compared to 7% in Minot.
  • In Minot, the percentage of American Indian residents is higher at 2%, compared to 0% in Hoffman estates.

Health Statistics

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

Health Metric Hoffman estates Minot
Mental Health Not Good 12.0% 13.3%
Physical Health Not Good 8.1% 9.3%
Depression 15.6% 18.8%
Smoking 10.6% 15.9%
Binge Drinking 17.9% 22.5%
Obesity 24.9% 37.8%
Disability Percentage 8.0% 11.0%

Health Statistics Comparison: Hoffman estates vs Minot

  • In Minot, a higher percentage report poor mental health at 13.3% compared to 12.0% in Hoffman estates.
  • Higher depression rates are seen in Minot at 18.8% versus 15.6% in Hoffman estates.
  • Minot has a higher smoking rate at 15.9% compared to 10.6% in Hoffman estates.
  • More residents engage in binge drinking in Minot at 22.5% compared to 17.9% in Hoffman estates.
  • Minot has higher obesity rates at 37.8% compared to 24.9% in Hoffman estates.
  • There is a higher percentage of disabled individuals in Minot at 11.0% 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 Minot
No Schooling 1.0% (512) 1.3% (614)
High School Diploma 10.9% (5,509) 16.9% (8,050)
Less than High School 10.3% (5,235) 7.9% (3,779)
Bachelor's Degree and Higher 34.4% (17,439) 19.8% (9,464)

Education Levels Comparison: Hoffman estates vs Minot

  • In Minot, a larger percentage of residents lack formal schooling at 1.3% compared to 1.0% in Hoffman estates.
  • In Minot, the rate of residents with high school diplomas is higher at 16.9% compared to 10.9% in Hoffman estates.
  • More residents in Hoffman estates have less than a high school education at 10.3% compared to 7.9% in Minot.
  • A higher percentage of residents in Hoffman estates hold a bachelor's degree or higher at 34.4% compared to 19.8% in Minot.

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.