Zip Codes with the Most Immigrants from Lithuania in Toms River, NJ

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

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)

Highest Illegitimacy | All Women Highest Illegitimacy | Women 35+Lowest Illegitimacy | All Women Lowest Illegitimacy | Women 35+

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 Albanian American Arab Argentinean Armenian Austrian Basque Belgian Bhutanese Brazilian British British West Indian Burmese Canadian Celtic Central American Cherokee Chilean Colombian Costa Rican Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European Ecuadorian Egyptian English Estonian European Finnish French French Canadian German Ghanaian Greek Guatemalan Haitian Honduran Hungarian Icelander Indian (Asian)Iranian Irish Israeli Italian Jamaican Korean Latvian Lebanese Lithuanian Maltese Mexican Mexican American Indian Moroccan Nigerian Northern European Norwegian Pakistani Pennsylvania German Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Serbian Slavic Slovak Slovene South American Spaniard Spanish Subsaharan African Swedish Swiss Syrian Thai Trinidadian and Tobagonian Turkish Ukrainian Venezuelan Welsh

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Albania Asia Brazil Canada Caribbean Central America China Colombia Croatia Cuba Dominican Republic Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Europe France Germany Ghana Greece Guatemala Haiti Honduras India Iran Ireland Israel Italy Jamaica Japan Korea Latin America LatviaLithuaniaMexico Nigeria Northern Africa Northern Europe Peru Philippines Poland Portugal Romania Russia Scotland South America South Central Asia South Eastern Asia Southern Europe Spain Taiwan Thailand Trinidad and Tobago Turkey Ukraine Uzbekistan Western Africa Western Asia Western Europe

Immigrant Origin (Percentage)

Africa Albania Asia Brazil Canada Caribbean Central America China Colombia Croatia Cuba Dominican Republic Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Europe France Germany Ghana Greece Guatemala Haiti Honduras India Iran Ireland Israel Italy Jamaica Japan Korea Latin America Latvia Lithuania Mexico Nigeria Northern Africa Northern Europe Peru Philippines Poland Portugal Romania Russia Scotland South America South Central Asia South Eastern Asia Southern Europe Spain Taiwan Thailand Trinidad and Tobago Turkey Ukraine Uzbekistan Western Africa 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 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

Toms River

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Most Immigrants from Lithuania in Toms River

200

Zip Codes with the Most Immigrants from Lithuania in Toms River Map

Zip Codes with the Most Immigrants from Lithuania in Toms River, NJ

	Zip Code	Lithuania	vs State	vs National
1.	08753	173	1,662(10.41%)#1	33,942(0.51%)#20
2.	08757	13	1,662(0.78%)#38	33,942(0.04%)#677

Common Questions

What are the Top Zip Codes with the Most Immigrants from Lithuania in Toms River, NJ?

Top Zip Codes with the Most Immigrants from Lithuania in Toms River, NJ are:

08753

173

08757

08755

What zip code has the Most Immigrants from Lithuania in Toms River, NJ?

08753 has the Most Immigrants from Lithuania in Toms River, NJ with 173.

What is the Total Immigrants from Lithuania in Toms River, NJ?

Total Immigrants from Lithuania in Toms River is 173.

What is the Total Immigrants from Lithuania in New Jersey?

Total Immigrants from Lithuania in New Jersey is 1,662.

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

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