Demographics details for Watertown, MA vs Hoffman estates, IL

Population Overview

Compare main population characteristics in Watertown, MA vs Hoffman estates, IL.

Data Watertown Hoffman estates
Population 35,022 50,682
Median Age 38.2 years 38.1 years
Median Income $117,625 $107,428
Married Families 42.0% 48.0%
Poverty Level 5% 4%
Unemployment Rate 3.4 5.2

Population Comparison: Watertown vs Hoffman estates

  • The population in Hoffman estates is higher at 50,682, compared to 35,022 in Watertown.
  • Residents in Watertown have a higher median age of 38.2 years compared to 38.1 years in Hoffman estates.
  • Watertown has a higher median income of $117,625 compared to $107,428 in Hoffman estates.
  • In Hoffman estates, the percentage of married families is higher at 48.0%, compared to 42.0% in Watertown.
  • Watertown has a higher poverty level at 5% compared to 4% in Hoffman estates.
  • Hoffman estates has a higher unemployment rate at 5.2% compared to 3.4% in Watertown.

Demographics

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

Demographic Watertown Hoffman estates
Black 4 6
White 70 43
Asian 12 25
Hispanic 7 18
Two or More Races 7 8
American Indian Data is updating Data is updating

Demographics Comparison: Watertown vs Hoffman estates

  • In Hoffman estates, the percentage of Black residents is higher at 6% compared to 4% in Watertown.
  • Watertown has a higher percentage of White residents at 70% compared to 43% in Hoffman estates.
  • In Hoffman estates, the Asian population stands at 25%, greater than 12% in Watertown.
  • Hoffman estates has a higher percentage of Hispanic residents at 18%, compared to 7% in Watertown.
  • The percentage of residents identifying as two or more races is higher in Hoffman estates at 8%, compared to 7% in Watertown.
  • The percentage of American Indian residents is the same in both Watertown and Hoffman estates at 0%.

Health Statistics

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

Health Metric Watertown Hoffman estates
Mental Health Not Good 13.1% 12.0%
Physical Health Not Good 7.7% 8.1%
Depression 20.6% 15.6%
Smoking 8.6% 10.6%
Binge Drinking 19.3% 17.9%
Obesity 23.1% 24.9%
Disability Percentage 12.0% 8.0%

Health Statistics Comparison: Watertown vs Hoffman estates

  • More residents in Watertown report poor mental health at 13.1% compared to 12.0% in Hoffman estates.
  • Depression is more prevalent in Watertown at 20.6% compared to 15.6% in Hoffman estates.
  • Hoffman estates has a higher smoking rate at 10.6% compared to 8.6% in Watertown.
  • Binge drinking is more common in Watertown at 19.3% compared to 17.9% in Hoffman estates.
  • Hoffman estates has higher obesity rates at 24.9% compared to 23.1% in Watertown.
  • Disability percentages are higher in Watertown 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 Watertown Hoffman estates
No Schooling 0.9% (331) 1.0% (512)
High School Diploma 10.7% (3,731) 10.9% (5,509)
Less than High School 6.9% (2,426) 10.3% (5,235)
Bachelor's Degree and Higher 52.6% (18,420) 34.4% (17,439)

Education Levels Comparison: Watertown vs Hoffman estates

  • In Hoffman estates, a larger percentage of residents lack formal schooling at 1.0% compared to 0.9% in Watertown.
  • In Hoffman estates, the rate of residents with high school diplomas is higher at 10.9% compared to 10.7% in Watertown.
  • The percentage of residents with less than a high school education is higher in Hoffman estates at 10.3%, compared to 6.9% in Watertown.
  • A higher percentage of residents in Watertown hold a bachelor's degree or higher at 52.6% compared to 34.4% in Hoffman estates.

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.