Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Champaign, IL

Q: What are the Top Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Champaign, IL?

Top Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Champaign, IL are: #1 61820 11.4% . #2 61822 11.1% . #3 61821 8.1% .

Q: What zip code has the Highest Percentage of Population Employed in Computer, Engineering & Science in Champaign, IL?

61820 has the Highest Percentage of Population Employed in Computer, Engineering & Science in Champaign, IL with 11.4%.

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Computer, Engineering & Science

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)

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 Argentinean Austrian Belgian Bhutanese Bolivian Brazilian British Bulgarian Burmese Canadian Central American Central American Indian Cherokee Chilean Colombian Costa Rican Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European Egyptian English European Finnish French French Canadian German Greek Guatemalan Honduran Hungarian Indian (Asian)Indonesian Iranian Irish Israeli Italian Jamaican Korean Latvian Lebanese Lithuanian Malaysian Mexican Moroccan Nigerian Northern European Norwegian Pakistani Panamanian Peruvian Polish Portuguese Potawatomi Puerto Rican Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Serbian Slovak Slovene South African South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Thai Turkish Ukrainian Venezuelan Vietnamese Welsh West Indian Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Asia Bangladesh Brazil Bulgaria Cameroon Canada Caribbean Central America China Colombia Czechoslovakia Eastern Asia Eastern Europe Ecuador Egypt El Salvador Europe Germany Guatemala Hong Kong India Iran Israel Italy Japan Jordan Korea Laos Latin America Mexico Middle Africa Nepal Netherlands Nigeria Northern Africa Northern Europe Norway Pakistan Panama Peru Philippines Portugal Russia Saudi Arabia Serbia South America South Central Asia South Eastern Asia Southern Europe Taiwan Thailand Ukraine Venezuela Vietnam Western Africa Western Asia Western Europe Zaire

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 & MathematicsComputer, Engineering & ScienceConstruction & Extraction Education Instruction & Library Education, Arts & Media Farming, Fishing & Forestry 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 Unpaid Family Workers

Commute Time

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

Commute Means

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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 Oil 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

Champaign

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Map of Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Champaign

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15.0%

Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Champaign Map

Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Champaign, IL

	Zip Code	% Employed	vs State	vs National
1.	61820	11.4%	6.4%(+4.93)#76	6.8%(+4.61)#2,366
2.	61822	11.1%	6.4%(+4.63)#82	6.8%(+4.30)#2,532
3.	61821	8.1%	6.4%(+1.68)#176	6.8%(+1.36)#5,097

Common Questions

What are the Top Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Champaign, IL?

Top Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Champaign, IL are:

61820

11.4%

61822

11.1%

61821

8.1%

What zip code has the Highest Percentage of Population Employed in Computer, Engineering & Science in Champaign, IL?

61820 has the Highest Percentage of Population Employed in Computer, Engineering & Science in Champaign, IL with 11.4%.

What is the Percentage of Population Employed in Computer, Engineering & Science in Champaign, IL?

Percentage of Population Employed in Computer, Engineering & Science in Champaign is 10.4%.

What is the Percentage of Population Employed in Computer, Engineering & Science in Illinois?

Percentage of Population Employed in Computer, Engineering & Science in Illinois is 6.4%.

What is the Percentage of Population Employed in Computer, Engineering & Science in the United States?

Percentage of Population Employed in Computer, Engineering & Science in the United States is 6.8%.