Zip Codes with the Highest Percentage of Population Carpooling to Work in Crystal Lake, IL

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RELATED REPORTS & OPTIONS

Drive | Carpool

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

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)

American Arab Armenian Austrian Belgian Bhutanese British Burmese Canadian Central American Cherokee Colombian Croatian Czech Czechoslovakian Danish Dutch Eastern European English European Finnish French French Canadian German Greek Hungarian Indian (Asian)Irish Italian Korean Latvian Lebanese Lithuanian Luxembourger Mexican Nigerian Northern European Norwegian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Slovak Slovene South American Subsaharan African Swedish Swiss Thai Ukrainian Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Asia Canada Central America China Colombia Czechoslovakia Eastern Asia Eastern Europe El Salvador England Europe Germany Greece India Ireland Italy Japan Korea Latin America Mexico Northern Europe Pakistan Philippines Poland Russia Scotland South America South Central Asia South Eastern Asia Southern Europe 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 Agriculture, Fishing & Hunting Arts, Entertainment & Recreation Construction Educational Services Enterprise Management 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 Unpaid Family Workers

Commute Time

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

Commute Means

Drive | AloneDrive | CarpoolPublic 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 Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Crystal Lake

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 ChicagoCrystal LakeDanville Decatur Des Plaines Downers Grove East Saint Louis Edwardsville 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 Urbana Waukegan Wheaton

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Map of Zip Codes with the Highest Percentage of Population Carpooling to Work in Crystal Lake

0.0%

50.0%

Zip Codes with the Highest Percentage of Population Carpooling to Work in Crystal Lake Map

Zip Codes with the Highest Percentage of Population Carpooling to Work in Crystal Lake, IL

	Zip Code	% Carpool	vs State	vs National
1.	60014	42.7%	39.0%(+3.70)#410	38.2%(+4.50)#7,958
2.	60012	37.6%	39.0%(-1.40)#699	38.2%(-0.600)#14,891

Common Questions

What are the Top Zip Codes with the Highest Percentage of Population Carpooling to Work in Crystal Lake, IL?

Top Zip Codes with the Highest Percentage of Population Carpooling to Work in Crystal Lake, IL are:

60014

42.7%

60012

37.6%

What zip code has the Highest Percentage of Population Carpooling to Work in Crystal Lake, IL?

60014 has the Highest Percentage of Population Carpooling to Work in Crystal Lake, IL with 42.7%.

What is the Percentage of Population Carpooling to Work in Crystal Lake, IL?

Percentage of Population Carpooling to Work in Crystal Lake is 43.0%.

What is the Percentage of Population Carpooling to Work in Illinois?

Percentage of Population Carpooling to Work in Illinois is 39.0%.

What is the Percentage of Population Carpooling to Work in the United States?

Percentage of Population Carpooling to Work in the United States is 38.2%.