Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Waukegan, IL

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Highest Poverty | Child 0-16

Population

Highest Population Highest Population Density Lowest Population Density Male / Female Ratio Female / Male Ratio Oldest Population Oldest Population | Male Oldest Population | Female Youngest Population Youngest Population | Male Youngest Population | Female

Families and Households

Largest Family Size Largest Household Size Most Single Fathers Most Single Mothers Fewest Single Fathers Fewest Single Mothers Smallest Family Size Smallest Household Size

Female Fertility

Female Fertility (Unmarried)

Highest Illegitimacy | All Women Highest Illegitimacy | Women 35+Lowest Illegitimacy | All Women Lowest Illegitimacy | Women 35+

Race (Community Size)

Asian Black / African American Hispanic or Latino Native / Alaskan White / Caucasian

Race (Percentage)

Asian Black / African American Hispanic or Latino Native / Alaskan White / Caucasian

Ancestry (Community Size)

African American Arab Austrian Belgian Belizean Bhutanese Blackfeet British Burmese Canadian Central American Central American Indian Cherokee Choctaw Colombian Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European Ecuadorian English European Finnish French French Canadian German Greek Guatemalan Haitian Honduran Hungarian Indian (Asian)Irish Italian Jamaican Korean Lithuanian Luxembourger Mexican Mexican American Indian Nigerian Norwegian Peruvian Polish Portuguese Puerto Rican Russian Salvadoran Scandinavian Scotch-Irish Scottish Slovene South American Spaniard Sri Lankan Subsaharan African Swedish Swiss Thai Ukrainian Welsh West Indian Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Asia Belize Caribbean Central America China Colombia Cuba Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador El Salvador England Ethiopia Europe Germany Guatemala Haiti Honduras India Ireland Italy Jamaica Jordan Korea Latin America Mexico Nigeria Northern Europe Philippines Poland Russia South America South Central Asia South Eastern Asia Southern Europe Vietnam Western Africa Western Asia Western Europe

Immigrant Origin (Percentage)

Income

Highest Per Capita Income Highest Earnings | Male Highest Earnings | Female Highest Wage/Income Gap ($)Highest Wage/Income Gap (%)Highest Inequality / Gini Index Lowest Per Capita Income Lowest Earnings | Male Lowest Earnings | Female Lowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)Lowest Inequality / Gini Index

Income (Families)

Highest Family Income Lowest Family Income Family Income | $0-10k Family Income | $100k+Family Income | $200k+

Income (Households)

Highest Household Income Lowest Household Income Household Income | $0-10k Household Income | $200k+Household Income | $100k+

Poverty

Poverty (Families)

Unemployment

Employment Occupations

Architecture & Engineering Arts, Media & Entertainment Business & Financial Cleaning & Maintenance Community & Social Service Computer & Mathematics Computer, Engineering & Science Construction & Extraction Education Instruction & Library Education, Arts & Media Firefighting & Prevention Food Preparation & Serving Health Diagnosing & Treating Health Technologists Healthcare Support Installation, Maintenance & Repair Law Enforcement Legal Services & Support Life, Physical & Social Science Management Material Moving Office & Administration Personal Care and Service Production Sales & Related Security & Protection Transportation

Employment Industries

Accommodation & Food Services Administrative & Support Services Arts, Entertainment & Recreation Construction Educational Services Finance & Insurance Health Care & Social Assistance Information & Technology Manufacturing Professional & Scientific Services Public Administration Real Estate, Rental & Leasing Retail Trade Transportation & Warehousing Utilities Wholesale Trade

Employer Class

Private Company Employees Self-Employed / Incorporated Self-Employed / Not Incorporated Not-for-profit Organizations Local Government Employees State Government Employees Federal Government Employees

Commute Time

Longest Commute Longest Commute | Male Longest Commute | Female Shortest Commute Shortest Commute | Male Shortest Commute | Female

Commute Means

Drive | Alone Drive | Carpool Public Transit Taxi / Cab Walk to Work Work from Home

School Enrollment

In Private School Nursery / Preschool Kindergarten Elementary School Middle School High School College University

Education by Degree Field

Computers and Mathematics Bio, Nature & Agricultural Physical and Health Sciences Psychology Social Sciences Engineering Multidisciplinary Studies Science and Engineering Business Education Literature and Languages Liberal Arts and History Visual and Performing Arts Communications Arts and Humanities

Occupancy

Highest Owner-Occupied Highest Renter-Occupied Lowest Owner-Occupied Lowest Renter-Occupied

Finances

Highest Median Housing Costs Highest Property Prices Highest Owner Housing Costs Highest Renter Housing Costs Highest Housing Costs / Income Lowest Median Housing Costs Lowest Property Prices Lowest Owner Housing Costs Lowest Renter Housing Costs Lowest Housing Costs / Income

Physical Characteristics

Detached Home Residency Condo/Apartment Residency Utility Gas Heating Bottled Gas / LP Heating Electrical Heating Fuel-less Heating Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Waukegan

United States

States

Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District Of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Puerto Rico Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming

Illinois Cities

Arlington Heights Aurora Belleville Bloomington Bolingbrook Carbondale Champaign Chicago Crystal Lake Danville Decatur Des Plaines Downers Grove East Saint Louis Elgin Evanston Glenview Hoffman Estates Joliet Mchenry Melrose Park Naperville Oak Park Orland Park Palatine Peoria Plainfield Quincy Rockford Saint Charles Schaumburg Skokie Springfield Tinley Park UrbanaWaukeganWheaton

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Waukegan

18.3%

27.6%

Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Waukegan Map

Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Waukegan, IL

	Zip Code	Child Poverty	vs State	vs National
1.	60085	27.6%	15.9% (+11.7)#223	16.9% (+10.6)#6,460
2.	60087	18.3%	15.9% (+2.44)#420	16.9% (+1.40)#11,078

Common Questions

What are the Top Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Waukegan, IL?

Top Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Waukegan, IL are:

60085

27.6%

60087

18.3%

What zip code has the Highest Poverty Level Among Children Under the Age of 16 in Waukegan, IL?

60085 has the Highest Poverty Level Among Children Under the Age of 16 in Waukegan, IL with 27.6%.

What is the Poverty Level Among Children Under the Age of 16 in Waukegan, IL?

Poverty Level Among Children Under the Age of 16 in Waukegan is 24.3%.

What is the Poverty Level Among Children Under the Age of 16 in Illinois?

Poverty Level Among Children Under the Age of 16 in Illinois is 15.9%.

What is the Poverty Level Among Children Under the Age of 16 in the United States?

Poverty Level Among Children Under the Age of 16 in the United States is 16.9%.