Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Skokie, IL

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Finance & Insurance

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 Hawaiian / Pacific Hispanic or Latino Native / Alaskan White / Caucasian

Race (Percentage)

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

Ancestry (Community Size)

African Albanian American Arab Armenian Assyrian / Chaldean / Syriac Austrian Belgian Belizean Bhutanese British Bulgarian Burmese Cambodian Canadian Central American Central American Indian Cherokee Colombian Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European English European Filipino Finnish French French Canadian German Greek Guatemalan Haitian Honduran Hungarian Indian (Asian)Iranian Iraqi Irish Italian Jamaican Japanese Korean Laotian Latvian Lebanese Lithuanian Luxembourger Mexican Mexican American Indian Moroccan Native Hawaiian Nigerian Norwegian Pakistani Palestinian Peruvian Polish Portuguese Puerto Rican Romanian Russian Scandinavian Scotch-Irish Scottish Serbian Slovak Somali South American Spaniard Sri Lankan Subsaharan African Swedish Swiss Thai Turkish Ukrainian Venezuelan Vietnamese Welsh West Indian Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Asia Bangladesh Belarus Belize Bosnia and Herzegovina Bulgaria Cambodia Cameroon Canada Caribbean Central America China Colombia Cuba Eastern Africa Eastern Asia Eastern Europe England Ethiopia Europe France Germany Greece Guatemala Haiti Hong Kong India Iran Iraq Ireland Israel Jamaica Japan Kenya Korea Latin America Latvia Lebanon Lithuania Malaysia Mexico Middle Africa Morocco Nigeria Northern Africa Northern Europe Pakistan Peru Philippines Poland Romania Russia Serbia Somalia South America South Central Asia South Eastern Asia Southern Europe Syria Taiwan Thailand Turkey Ukraine Venezuela Vietnam Western Africa Western Asia Western Europe Zimbabwe

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 ServicesFinance & InsuranceHealth 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

Skokie

United States

States

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Illinois Cities

Arlington Heights Aurora Belleville Bloomington Bolingbrook Carbondale Champaign Chicago Crystal Lake Danville 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 SchaumburgSkokieSpringfield Tinley Park Urbana Waukegan Wheaton

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Map of Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Skokie

4.2%

5.3%

Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Skokie Map

Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Skokie, IL

	Zip Code	% Employed	vs State	vs National
1.	60076	5.3%	5.7% (-0.421)#465	4.8% (+0.490)#7,565
2.	60077	4.2%	5.7% (-1.47)#651	4.8% (-0.559)#10,833

Common Questions

What are the Top Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Skokie, IL?

Top Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Skokie, IL are:

60076

5.3%

60077

4.2%

What zip code has the Highest Percentage of Population Employed in Finance & Insurance in Skokie, IL?

60076 has the Highest Percentage of Population Employed in Finance & Insurance in Skokie, IL with 5.3%.

What is the Percentage of Population Employed in Finance & Insurance in Skokie, IL?

Percentage of Population Employed in Finance & Insurance in Skokie is 4.8%.

What is the Percentage of Population Employed in Finance & Insurance in Illinois?

Percentage of Population Employed in Finance & Insurance in Illinois is 5.7%.

What is the Percentage of Population Employed in Finance & Insurance in the United States?

Percentage of Population Employed in Finance & Insurance in the United States is 4.8%.