Zip Codes with the Most Immigrants from Hungary in Sherman Oaks, CA

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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

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 American Arab Argentinean Armenian Austrian Bahamian Basque Belgian Bhutanese Brazilian British Bulgarian Burmese Cajun Canadian Cape Verdean Central American Cherokee Colombian Costa Rican Croatian Cuban Cypriot Czech Czechoslovakian Danish Dominican Dutch Eastern European English European Finnish French French Canadian German Greek Guatemalan Hungarian Indian (Asian)Iranian Iraqi Irish Israeli Italian Jamaican Korean Laotian Latvian Lebanese Lithuanian Mexican Mexican American Indian Mongolian Moroccan Native Hawaiian Navajo Northern European Norwegian Pakistani Paraguayan Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Slovak Slovene South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Thai Turkish Ukrainian Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Armenia Asia Australia Brazil Bulgaria Canada Caribbean Central America China Colombia Cuba Czechoslovakia Eastern Africa Eastern Asia Eastern Europe El Salvador England Ethiopia Europe France Germany GuatemalaHungaryIndia Indonesia Iran Israel Italy Jamaica Japan Korea Latin America Lebanon Mexico Moldova Morocco Netherlands Northern Africa Northern Europe Oceania Pakistan Philippines Poland Romania Russia South America South Central Asia South Eastern Asia Southern Europe Switzerland Thailand Turkey Ukraine Western Asia Western Europe

Immigrant Origin (Percentage)

Africa Argentina Armenia Asia Australia Brazil Bulgaria Canada Caribbean Central America China Colombia Cuba Czechoslovakia Eastern Africa Eastern Asia Eastern Europe El Salvador England Ethiopia Europe France Germany Guatemala Hungary India Indonesia Iran Israel Italy Jamaica Japan Korea Latin America Lebanon Mexico Moldova Morocco Netherlands Northern Africa Northern Europe Oceania Pakistan Philippines Poland Romania Russia South America South Central Asia South Eastern Asia Southern Europe Switzerland Thailand Turkey Ukraine 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 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 | 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

Sherman Oaks

United States

States

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California Cities

Anaheim Apple Valley Auburn Bakersfield Berkeley Burbank Canyon Country Carlsbad Concord Corona Costa Mesa Culver City Davis Encino Escondido Fairfield Fremont Garden Grove Glendale Glendora Hemet Huntington Beach Indio Irvine Lancaster Long Beach Los Angeles Los Gatos Malibu Menifee Mission Viejo North Hollywood Oakland Oceanside Orange Oroville Oxnard Palm Springs Palmdale Palo Alto Pasadena Rancho Cordova Redding Redondo Beach Redwood City Riverside Sacramento San Diego San Francisco San Jose Santa Ana Santa Clarita Santa Cruz Santa Monica Santa RosaSherman OaksSimi Valley Sunnyvale Tehachapi Temecula Thousand Oaks Vallejo Van Nuys Ventura Woodland Hills

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Map of Zip Codes with the Most Immigrants from Hungary in Sherman Oaks

Zip Codes with the Most Immigrants from Hungary in Sherman Oaks Map

Zip Codes with the Most Immigrants from Hungary in Sherman Oaks, CA

	Zip Code	Hungary	vs State	vs National
1.	91423	64	10,936(0.59%)#37	64,894(0.10%)#207
2.	91403	45	10,936(0.41%)#65	64,894(0.07%)#358

Common Questions

What are the Top Zip Codes with the Most Immigrants from Hungary in Sherman Oaks, CA?

Top Zip Codes with the Most Immigrants from Hungary in Sherman Oaks, CA are:

91423

91403

What zip code has the Most Immigrants from Hungary in Sherman Oaks, CA?

91423 has the Most Immigrants from Hungary in Sherman Oaks, CA with 64.

What is the Total Immigrants from Hungary in California?

Total Immigrants from Hungary in California is 10,936.

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

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