Zip Codes with the Largest Lithuanian Community in Monroe, MI

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Lithuanian

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 Armenian Australian Austrian Belgian Bhutanese Blackfeet British Burmese Canadian Cherokee Chippewa Croatian Czech Czechoslovakian Danish Dutch Eastern European English European Finnish French French Canadian German Greek Hungarian Irish Iroquois Italian Korean LebaneseLithuanianMexican Northern European Norwegian Polish Puerto Rican Russian Scandinavian Scotch-Irish Scottish Serbian Slovak Slovene Subsaharan African Swedish Swiss Thai Ukrainian Welsh Yugoslavian

Ancestry (Percentage)

African American Arab Armenian Australian Austrian Belgian Bhutanese Blackfeet British Burmese Canadian Cherokee Chippewa Croatian Czech Czechoslovakian Danish Dutch Eastern European English European Finnish French French Canadian German Greek Hungarian Irish Iroquois Italian Korean Lebanese Lithuanian Mexican Northern European Norwegian Polish Puerto Rican Russian Scandinavian Scotch-Irish Scottish Serbian Slovak Slovene Subsaharan African Swedish Swiss Thai Ukrainian Welsh Yugoslavian

Immigrant Origin (Total)

Asia Brazil Canada Caribbean Central America Eastern Asia Eastern Europe England Europe Germany Italy Latin America Mexico Netherlands Northern Europe Romania South America South Central Asia South Eastern Asia Southern Europe Ukraine Western Asia 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 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

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 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

Monroe

United States

States

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Michigan Cities

Ann Arbor Battle Creek Bay City Bloomfield Hills Brighton Canton Clarkston Clinton Township Dearborn Dearborn Heights Detroit East Lansing Farmington Grand Rapids Grosse Pointe Highland Holland Howell Jackson Kalamazoo Lake Orion Lansing Livonia Macomb Midland MilfordMonroeMount Pleasant Muskegon New Baltimore Northville Novi Oxford Portage Redford Rochester Royal Oak Saginaw Saint Clair Shores Southfield Sterling Heights Traverse City Troy Utica Warren Waterford West Bloomfield Westland White Lake Ypsilanti

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Map of Zip Codes with the Largest Lithuanian Community in Monroe

150

Zip Codes with the Largest Lithuanian Community in Monroe Map

Zip Codes with the Largest Lithuanian Community in Monroe, MI

	Zip Code	Lithuanian	vs State	vs National
1.	48162	135	28,794(0.47%)#50	613,139(0.02%)#1,131
2.	48161	48	28,794(0.17%)#183	613,139(0.01%)#3,751

Common Questions

What are the Top Zip Codes with the Largest Lithuanian Community in Monroe, MI?

Top Zip Codes with the Largest Lithuanian Community in Monroe, MI are:

48162

135

48161

What zip code has the Largest Lithuanian Community in Monroe, MI?

48162 has the Largest Lithuanian Community in Monroe, MI with 135.

What is the Total Lithuanian Population in Monroe, MI?

Total Lithuanian Population in Monroe is 7.

What is the Total Lithuanian Population in Michigan?

Total Lithuanian Population in Michigan is 28,794.

What is the Total Lithuanian Population in the United States?

Total Lithuanian Population in the United States is 613,139.