Zip Codes with the Most Immigrants from Peru in Flower Mound, TX

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Peru

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 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 Australian Austrian Belgian Bhutanese Blackfeet Brazilian British Burmese Canadian Celtic Central American Cherokee Chickasaw Colombian Comanche Creek Croatian Cuban Czech Czechoslovakian Danish Dutch Eastern European Ecuadorian English European Finnish French French Canadian German Greek Hungarian Indian (Asian)Iranian Iraqi Irish Italian Jamaican Korean Laotian Latvian Lebanese Lithuanian Mexican Mexican American Indian Northern European Norwegian Pakistani Panamanian Pennsylvania German Peruvian Polish Portuguese Puerto Rican Romanian Russian Scandinavian Scotch-Irish Scottish Slovene South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Thai Ukrainian Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Asia Australia Bangladesh Brazil Canada Caribbean Central America China Colombia Cuba Eastern Africa Eastern Asia Eastern Europe El Salvador Europe Germany India Indonesia Iran Iraq Jamaica Japan Korea Latin America Mexico Nepal Netherlands Northern Africa Northern Europe Oceania Pakistan PanamaPeruPhilippines Poland Russia South Africa South America South Central Asia South Eastern Asia Southern Europe Sri Lanka Thailand Vietnam Western Asia Western Europe

Immigrant Origin (Percentage)

Africa Argentina Asia Australia Bangladesh Brazil Canada Caribbean Central America China Colombia Cuba Eastern Africa Eastern Asia Eastern Europe El Salvador Europe Germany India Indonesia Iran Iraq Jamaica Japan Korea Latin America Mexico Nepal Netherlands Northern Africa Northern Europe Oceania Pakistan Panama Peru Philippines Poland Russia South Africa South America South Central Asia South Eastern Asia Southern Europe Sri Lanka Thailand Vietnam 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 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 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 Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Flower Mound

United States

States

Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District Of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Puerto Rico Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming

Texas Cities

Abilene Allen Amarillo Arlington Austin Beaumont Carrollton College Station Conroe Corpus Christi Cypress Dallas Edinburg El PasoFlower MoundFort Worth Frisco Garland Georgetown Grand Prairie Houston Humble Irving Katy Keller Killeen Kingwood Laredo Lewisville Lubbock Mckinney Midland Missouri City New Braunfels North Richland Hills Pearland Plano Rockwall Round Rock Rowlett San Antonio Spring Sugar Land Tomball Waco Wichita Falls

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Map of Zip Codes with the Most Immigrants from Peru in Flower Mound

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Zip Codes with the Most Immigrants from Peru in Flower Mound Map

Zip Codes with the Most Immigrants from Peru in Flower Mound, TX

	Zip Code	Peru	vs State	vs National
1.	75022	86	21,746(0.40%)#72	461,322(0.02%)#1,328
2.	75028	14	21,746(0.06%)#272	461,322(0.00%)#3,875

Common Questions

What are the Top Zip Codes with the Most Immigrants from Peru in Flower Mound, TX?

Top Zip Codes with the Most Immigrants from Peru in Flower Mound, TX are:

75022

75028

What zip code has the Most Immigrants from Peru in Flower Mound, TX?

75022 has the Most Immigrants from Peru in Flower Mound, TX with 86.

What is the Total Immigrants from Peru in Flower Mound, TX?

Total Immigrants from Peru in Flower Mound is 100.

What is the Total Immigrants from Peru in Texas?

Total Immigrants from Peru in Texas is 21,746.

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

Total Immigrants from Peru in the United States is 461,322.