Zip Codes with the Most Immigrants from Hungary in Arlington Heights, IL

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Hungary

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 Albanian American Arab Armenian Assyrian / Chaldean / Syriac Austrian Belgian Bhutanese Brazilian British Bulgarian Burmese Cambodian Canadian Central American Central American Indian Cherokee Croatian Cuban Czech Czechoslovakian Danish Dutch Eastern European Egyptian English European Filipino Finnish French French Canadian German Greek Guatemalan Hungarian Indian (Asian)Iranian Iraqi Irish Italian Jamaican Korean Lebanese Lithuanian Luxembourger Mexican Mexican American Indian Nicaraguan Nigerian Northern European Norwegian Pakistani Palestinian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Serbian Slovak Slovene South American Spanish Sri Lankan Subsaharan African Swedish Swiss Syrian Thai Turkish Ukrainian Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Albania Asia Austria Belarus Bosnia and Herzegovina Brazil Bulgaria Canada Caribbean Central America China Croatia Cuba Czechoslovakia Denmark Eastern Africa Eastern Asia Eastern Europe Egypt El Salvador Europe Germany GreeceHungaryIndia Indonesia Iran Ireland Israel Italy Japan Korea Latin America Lebanon Lithuania Mexico Moldova Nicaragua Nigeria North Macedonia Northern Africa Northern Europe Oceania Philippines Poland Romania Russia Serbia South America South Central Asia South Eastern Asia Southern Europe Sweden Syria Taiwan Thailand Turkey Ukraine Vietnam Western Africa Western Asia Western Europe

Immigrant Origin (Percentage)

Africa Albania Asia Austria Belarus Bosnia and Herzegovina Brazil Bulgaria Canada Caribbean Central America China Croatia Cuba Czechoslovakia Denmark Eastern Africa Eastern Asia Eastern Europe Egypt El Salvador Europe Germany Greece Hungary India Indonesia Iran Ireland Israel Italy Japan Korea Latin America Lebanon Lithuania Mexico Moldova Nicaragua Nigeria North Macedonia Northern Africa Northern Europe Oceania Philippines Poland Romania Russia Serbia South America South Central Asia South Eastern Asia Southern Europe Sweden Syria Taiwan Thailand Turkey Ukraine Vietnam Western Africa Western Asia Western Europe

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 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 | 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

Arlington Heights

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Map of Zip Codes with the Most Immigrants from Hungary in Arlington Heights

Zip Codes with the Most Immigrants from Hungary in Arlington Heights, IL

	Zip Code	Hungary	vs State	vs National
1.	60004	34	1,432(2.37%)#9	64,894(0.05%)#528
2.	60005	12	1,432(0.84%)#49	64,894(0.02%)#1,545

Common Questions

What are the Top Zip Codes with the Most Immigrants from Hungary in Arlington Heights, IL?

Top Zip Codes with the Most Immigrants from Hungary in Arlington Heights, IL are:

60004

60005

What zip code has the Most Immigrants from Hungary in Arlington Heights, IL?

60004 has the Most Immigrants from Hungary in Arlington Heights, IL with 34.

What is the Total Immigrants from Hungary in Arlington Heights, IL?

Total Immigrants from Hungary in Arlington Heights is 46.

What is the Total Immigrants from Hungary in Illinois?

Total Immigrants from Hungary in Illinois is 1,432.

What is the Total Immigrants from Hungary in the United States?

Total Immigrants from Hungary in the United States is 64,894.