Zip Codes with the Largest Peruvian Community in Waterloo, IA

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Peruvian

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 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 Apache Arab Austrian Belgian Bhutanese British Bulgarian Burmese Central American Central American Indian Cherokee Chippewa Croatian Cuban Czech Czechoslovakian Danish Dutch Eastern European English European Finnish French French American Indian French Canadian German Greek Guatemalan Haitian Honduran Hungarian Indian (Asian)Indonesian Inupiat Iranian Irish Italian Jamaican Korean Liberian Luxembourger Malaysian Mexican Moroccan Northern European Norwegian PakistaniPeruvianPolish Puerto Rican Russian Salvadoran Scandinavian Scotch-Irish Scottish Seminole Serbian Sioux Slavic South American Spaniard Subsaharan African Swedish Swiss Thai Welsh Yugoslavian

Ancestry (Percentage)

African Albanian American Apache Arab Austrian Belgian Bhutanese British Bulgarian Burmese Central American Central American Indian Cherokee Chippewa Croatian Cuban Czech Czechoslovakian Danish Dutch Eastern European English European Finnish French French American Indian French Canadian German Greek Guatemalan Haitian Honduran Hungarian Indian (Asian)Indonesian Inupiat Iranian Irish Italian Jamaican Korean Liberian Luxembourger Malaysian Mexican Moroccan Northern European Norwegian Pakistani Peruvian Polish Puerto Rican Russian Salvadoran Scandinavian Scotch-Irish Scottish Seminole Serbian Sioux Slavic South American Spaniard Subsaharan African Swedish Swiss Thai Welsh Yugoslavian

Immigrant Origin (Total)

Africa Asia Bosnia and Herzegovina Burma / Myanmar Caribbean Central America China Croatia Eastern Africa Eastern Asia Eastern Europe El Salvador Europe Germany Guatemala Haiti Honduras Latin America Liberia Mexico Micronesia Middle Africa Morocco Northern Africa Oceania Peru Philippines Russia Serbia South America South Eastern Asia Thailand Vietnam Western Africa 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 & 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 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

Waterloo

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Map of Zip Codes with the Largest Peruvian Community in Waterloo

150

Zip Codes with the Largest Peruvian Community in Waterloo, IA

	Zip Code	Peruvian	vs State	vs National
1.	50702	111	1,004(11.06%)#2	712,740(0.02%)#1,686
2.	50703	18	1,004(1.79%)#18	712,740(0.00%)#4,678

Common Questions

What are the Top Zip Codes with the Largest Peruvian Community in Waterloo, IA?

Top Zip Codes with the Largest Peruvian Community in Waterloo, IA are:

50702

111

50703

50701

What zip code has the Largest Peruvian Community in Waterloo, IA?

50702 has the Largest Peruvian Community in Waterloo, IA with 111.

What is the Total Peruvian Population in Waterloo, IA?

Total Peruvian Population in Waterloo is 129.

What is the Total Peruvian Population in Iowa?

Total Peruvian Population in Iowa is 1,004.

What is the Total Peruvian Population in the United States?

Total Peruvian Population in the United States is 712,740.