Demographics details for Mount dora, FL vs Hoffman estates, IL

Population Overview

Compare main population characteristics in Mount dora, FL vs Hoffman estates, IL.

Data Mount dora Hoffman estates
Population 17,160 50,682
Median Age 48.6 years 38.1 years
Median Income $65,774 $107,428
Married Families 43.0% 48.0%
Poverty Level 12% 4%
Unemployment Rate 3.2 5.2

Population Comparison: Mount dora vs Hoffman estates

  • The population in Hoffman estates is higher at 50,682, compared to 17,160 in Mount dora.
  • Residents in Mount dora have a higher median age of 48.6 years compared to 38.1 years in Hoffman estates.
  • Hoffman estates has a higher median income of $107,428, compared to $65,774 in Mount dora.
  • In Hoffman estates, the percentage of married families is higher at 48.0%, compared to 43.0% in Mount dora.
  • Mount dora has a higher poverty level at 12% compared to 4% in Hoffman estates.
  • Hoffman estates has a higher unemployment rate at 5.2% compared to 3.2% in Mount dora.

Demographics

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

Demographic Mount dora Hoffman estates
Black 13 6
White 65 43
Asian Data is updating 25
Hispanic 15 18
Two or More Races 7 8
American Indian Data is updating Data is updating

Demographics Comparison: Mount dora vs Hoffman estates

  • A higher percentage of Black residents are in Mount dora at 13% compared to 6% in Hoffman estates.
  • Mount dora has a higher percentage of White residents at 65% compared to 43% in Hoffman estates.
  • In Hoffman estates, the Asian population stands at 25%, greater than 0% in Mount dora.
  • Hoffman estates has a higher percentage of Hispanic residents at 18%, compared to 15% in Mount dora.
  • The percentage of residents identifying as two or more races is higher in Hoffman estates at 8%, compared to 7% in Mount dora.
  • The percentage of American Indian residents is the same in both Mount dora and Hoffman estates at 0%.

Health Statistics

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

Health Metric Mount dora Hoffman estates
Mental Health Not Good 17.0% 12.0%
Physical Health Not Good 11.6% 8.1%
Depression 20.8% 15.6%
Smoking 20.4% 10.6%
Binge Drinking 15.0% 17.9%
Obesity 37.5% 24.9%
Disability Percentage 16.0% 8.0%

Health Statistics Comparison: Mount dora vs Hoffman estates

  • More residents in Mount dora report poor mental health at 17.0% compared to 12.0% in Hoffman estates.
  • Depression is more prevalent in Mount dora at 20.8% compared to 15.6% in Hoffman estates.
  • Smoking is more prevalent in Mount dora at 20.4% compared to 10.6% in Hoffman estates.
  • More residents engage in binge drinking in Hoffman estates at 17.9% compared to 15.0% in Mount dora.
  • Obesity rates are higher in Mount dora at 37.5% compared to 24.9% in Hoffman estates.
  • Disability percentages are higher in Mount dora at 16.0% 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 Mount dora Hoffman estates
No Schooling 0.3% (47) 1.0% (512)
High School Diploma 16.5% (2,834) 10.9% (5,509)
Less than High School 8.2% (1,409) 10.3% (5,235)
Bachelor's Degree and Higher 25.6% (4,390) 34.4% (17,439)

Education Levels Comparison: Mount dora vs Hoffman estates

  • In Hoffman estates, a larger percentage of residents lack formal schooling at 1.0% compared to 0.3% in Mount dora.
  • A higher percentage of residents in Mount dora hold a high school diploma at 16.5% compared to 10.9% in Hoffman estates.
  • The percentage of residents with less than a high school education is higher in Hoffman estates at 10.3%, compared to 8.2% in Mount dora.
  • In Hoffman estates, a larger share of residents have a bachelor's degree or higher at 34.4% compared to 25.6% in Mount dora.

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.