Zip Codes with the Largest Malaysian Community in Waukesha, WI

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Malaysian

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 Lowest Illegitimacy | All Women

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 Armenian Austrian Bangladeshi Belgian Bhutanese Blackfeet Bolivian British Burmese Canadian Central American Chippewa Colombian Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European English European Finnish French French Canadian German Greek Guatemalan Honduran Hungarian Indian (Asian)Indonesian Irish Iroquois Italian Jamaican Korean Latvian Lebanese Lithuanian LuxembourgerMalaysianMexican Mexican American Indian Nicaraguan Northern European Norwegian Pakistani Panamanian Peruvian Polish Puerto Rican Romanian Russian Scandinavian Scotch-Irish Scottish Serbian Sioux Slavic Slovak Slovene South African South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Syrian Thai Ukrainian Venezuelan Welsh West Indian Yugoslavian

Ancestry (Percentage)

African American Arab Argentinean Armenian Austrian Bangladeshi Belgian Bhutanese Blackfeet Bolivian British Burmese Canadian Central American Chippewa Colombian Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European English European Finnish French French Canadian German Greek Guatemalan Honduran Hungarian Indian (Asian)Indonesian Irish Iroquois Italian Jamaican Korean Latvian Lebanese Lithuanian Luxembourger Malaysian Mexican Mexican American Indian Nicaraguan Northern European Norwegian Pakistani Panamanian Peruvian Polish Puerto Rican Romanian Russian Scandinavian Scotch-Irish Scottish Serbian Sioux Slavic Slovak Slovene South African South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Syrian Thai Ukrainian Venezuelan Welsh West Indian Yugoslavian

Immigrant Origin (Total)

Africa Argentina Asia Burma / Myanmar Canada Caribbean Central America China Colombia Eastern Asia Eastern Europe England Europe Germany Guatemala Honduras India Indonesia Italy Korea Latin America Mexico Nicaragua Northern Europe Oceania Peru Philippines Poland Russia South America South Central Asia South Eastern Asia Southern Europe Sweden Thailand Ukraine Venezuela Vietnam 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 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 Agriculture, Fishing & Hunting Arts, Entertainment & Recreation Construction Educational Services Enterprise Management Finance & Insurance Health Care & Social Assistance Information & Technology Manufacturing Mining, Quarrying, & Extraction 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 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

Waukesha

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Map of Zip Codes with the Largest Malaysian Community in Waukesha

150

Zip Codes with the Largest Malaysian Community in Waukesha, WI

	Zip Code	Malaysian	vs State	vs National
1.	53189	123	5,985(2.06%)#19	250,948(0.05%)#529
2.	53186	4	5,985(0.07%)#81	250,948(0.00%)#2,980

Common Questions

What are the Top Zip Codes with the Largest Malaysian Community in Waukesha, WI?

Top Zip Codes with the Largest Malaysian Community in Waukesha, WI are:

53189

123

53186

53188

What zip code has the Largest Malaysian Community in Waukesha, WI?

53189 has the Largest Malaysian Community in Waukesha, WI with 123.

What is the Total Malaysian Population in Wisconsin?

Total Malaysian Population in Wisconsin is 5,985.

What is the Total Malaysian Population in the United States?

Total Malaysian Population in the United States is 250,948.