Zip Codes with the Most Immigrants from Lithuania in Sandy, UT

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Lithuania

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 American Arab Argentinean Armenian Australian Austrian Basque Belgian Bhutanese Bolivian Brazilian British Burmese Canadian Central American Central American Indian Cherokee Chilean Chippewa Choctaw Colombian Croatian Cuban Czech Czechoslovakian Danish Dutch Eastern European Ecuadorian English European Filipino Finnish French French Canadian German Greek Guatemalan Hungarian Icelander Indian (Asian)Iranian Iraqi Irish Italian Korean Lebanese Lithuanian Malaysian Mexican Mexican American Indian Native Hawaiian Navajo Nigerian Northern European Norwegian Pakistani Palestinian Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Serbian Sioux Slavic Slovak Slovene South African South American South American Indian Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Thai Tongan Ukrainian Venezuelan Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Armenia Asia Australia Bolivia Bosnia and Herzegovina Brazil Canada Caribbean Central America Chile China Colombia Cuba Czechoslovakia Denmark Eastern Africa Eastern Asia Eastern Europe England Europe France Germany Hong Kong India Iran Iraq Japan Korea Laos Latin America LebanonLithuaniaMalaysia Mexico Moldova Netherlands Northern Africa Northern Europe Norway Oceania Pakistan Peru Philippines Poland Romania Russia Scotland South Africa South America South Central Asia South Eastern Asia Southern Europe Switzerland Syria Taiwan Thailand Ukraine Venezuela Vietnam Western Asia Western Europe

Immigrant Origin (Percentage)

Africa Argentina Armenia Asia Australia Bolivia Bosnia and Herzegovina Brazil Canada Caribbean Central America Chile China Colombia Cuba Czechoslovakia Denmark Eastern Africa Eastern Asia Eastern Europe England Europe France Germany Hong Kong India Iran Iraq Japan Korea Laos Latin America Lebanon Lithuania Malaysia Mexico Moldova Netherlands Northern Africa Northern Europe Norway Oceania Pakistan Peru Philippines Poland Romania Russia Scotland South Africa South America South Central Asia South Eastern Asia Southern Europe Switzerland Syria Taiwan Thailand Ukraine Venezuela 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 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 Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Sandy

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Map of Zip Codes with the Most Immigrants from Lithuania in Sandy

Zip Codes with the Most Immigrants from Lithuania in Sandy Map

Zip Codes with the Most Immigrants from Lithuania in Sandy, UT

	Zip Code	Lithuania	vs State	vs National
1.	84070	20	111(18.02%)#3	33,942(0.06%)#435
2.	84092	8	111(7.21%)#6	33,942(0.02%)#923

Common Questions

What are the Top 3 Zip Codes with the Most Immigrants from Lithuania in Sandy, UT?

Top 3 Zip Codes with the Most Immigrants from Lithuania in Sandy, UT are:

84070

84092

84094

What zip code has the Most Immigrants from Lithuania in Sandy, UT?

84070 has the Most Immigrants from Lithuania in Sandy, UT with 20.

What is the Total Immigrants from Lithuania in Sandy, UT?

Total Immigrants from Lithuania in Sandy is 8.

What is the Total Immigrants from Lithuania in Utah?

Total Immigrants from Lithuania in Utah is 111.

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

Total Immigrants from Lithuania in the United States is 33,942.