Demographics details for Santa fe springs, CA vs Waukegan, IL

Population Overview

Compare main population characteristics in Santa fe springs, CA vs Waukegan, IL.

Data Santa fe springs Waukegan
Population 18,439 87,976
Median Age 38.0 years 34.5 years
Median Income $81,500 $66,077
Married Families 37.0% 35.0%
Poverty Level 10% 14%
Unemployment Rate 5.5 6.4

Population Comparison: Santa fe springs vs Waukegan

  • The population in Waukegan is higher at 87,976, compared to 18,439 in Santa fe springs.
  • Residents in Santa fe springs have a higher median age of 38.0 years compared to 34.5 years in Waukegan.
  • Santa fe springs has a higher median income of $81,500 compared to $66,077 in Waukegan.
  • A higher percentage of married families is found in Santa fe springs at 37.0% compared to 35.0% in Waukegan.
  • The poverty level is higher in Waukegan at 14%, compared to 10% in Santa fe springs.
  • Waukegan has a higher unemployment rate at 6.4% compared to 5.5% in Santa fe springs.

Demographics

Demographics Santa fe springs vs Waukegan provide insight into the diversity of the communities to compare.

Demographic Santa fe springs Waukegan
Black 4 18
White -5 2
Asian 8 7
Hispanic 75 54
Two or More Races 15 18
American Indian 3 1

Demographics Comparison: Santa fe springs vs Waukegan

  • In Waukegan, the percentage of Black residents is higher at 18% compared to 4% in Santa fe springs.
  • The percentage of White residents is higher in Waukegan at 2% compared to -5% in Santa fe springs.
  • The Asian population is larger in Santa fe springs at 8% compared to 7% in Waukegan.
  • The Hispanic community is larger in Santa fe springs at 75% compared to 54% in Waukegan.
  • The percentage of residents identifying as two or more races is higher in Waukegan at 18%, compared to 15% in Santa fe springs.
  • A greater percentage of American Indian residents live in Santa fe springs at 3% compared to 1% in Waukegan.

Health Statistics

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

Health Metric Santa fe springs Waukegan
Mental Health Not Good 14.9% 16.6%
Physical Health Not Good 11.7% 13.4%
Depression 15.1% 17.9%
Smoking 10.0% 18.0%
Binge Drinking 15.7% 15.2%
Obesity 30.9% 39.3%
Disability Percentage 10.0% 11.0%

Health Statistics Comparison: Santa fe springs vs Waukegan

  • In Waukegan, a higher percentage report poor mental health at 16.6% compared to 14.9% in Santa fe springs.
  • Higher depression rates are seen in Waukegan at 17.9% versus 15.1% in Santa fe springs.
  • Waukegan has a higher smoking rate at 18.0% compared to 10.0% in Santa fe springs.
  • Binge drinking is more common in Santa fe springs at 15.7% compared to 15.2% in Waukegan.
  • Waukegan has higher obesity rates at 39.3% compared to 30.9% in Santa fe springs.
  • There is a higher percentage of disabled individuals in Waukegan at 11.0% compared to 10.0% in Santa fe springs.

Education Levels

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

Education Level Santa fe springs Waukegan
No Schooling 3.5% (644) 3.1% (2,711)
High School Diploma 16.3% (3,011) 16.5% (14,503)
Less than High School 26.5% (4,883) 27.1% (23,842)
Bachelor's Degree and Higher 15.5% (2,850) 13.9% (12,220)

Education Levels Comparison: Santa fe springs vs Waukegan

  • A higher percentage of residents in Santa fe springs have no formal schooling at 3.5% compared to 3.1% in Waukegan.
  • In Waukegan, the rate of residents with high school diplomas is higher at 16.5% compared to 16.3% in Santa fe springs.
  • The percentage of residents with less than a high school education is higher in Waukegan at 27.1%, compared to 26.5% in Santa fe springs.
  • A higher percentage of residents in Santa fe springs hold a bachelor's degree or higher at 15.5% compared to 13.9% in Waukegan.

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.