Zip Codes with the Most Immigrants from Kenya in Lynn, MA

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Kenya

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 Armenian Barbadian Bhutanese Brazilian British British West Indian Burmese Canadian Cape Verdean Celtic Central American Central American Indian Cherokee Colombian Costa Rican Cuban Danish Dominican Dutch Eastern European Ecuadorian English European Finnish French French American Indian French Canadian German Ghanaian Greek Guatemalan Haitian Honduran Hungarian Indian (Asian)Iranian Irish Iroquois Italian Jamaican Japanese Korean Lebanese Liberian Lithuanian Malaysian Mexican Moroccan Nigerian Northern European Norwegian Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Thai Trinidadian and Tobagonian Ugandan Ukrainian Venezuelan Vietnamese Welsh West Indian Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Afghanistan Africa Albania Asia Bangladesh Barbados Belarus Brazil Cambodia Cameroon Canada Caribbean Central America China Colombia Costa Rica Cuba Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador El Salvador Europe Germany Greece Guatemala Haiti Honduras Hong Kong Iran Ireland Italy JamaicaKenyaLaos Latin America Liberia Mexico Middle Africa Moldova Morocco Nepal Nigeria Northern Africa Northern Europe Panama Peru Philippines Poland Portugal Russia South America South Central Asia South Eastern Asia Southern Europe Thailand Trinidad and Tobago Uganda Ukraine Vietnam West Indies Western Africa Western Asia Western Europe

Immigrant Origin (Percentage)

Afghanistan Africa Albania Asia Bangladesh Barbados Belarus Brazil Cambodia Cameroon Canada Caribbean Central America China Colombia Costa Rica Cuba Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador El Salvador Europe Germany Greece Guatemala Haiti Honduras Hong Kong Iran Ireland Italy Jamaica Kenya Laos Latin America Liberia Mexico Middle Africa Moldova Morocco Nepal Nigeria Northern Africa Northern Europe Panama Peru Philippines Poland Portugal Russia South America South Central Asia South Eastern Asia Southern Europe Thailand Trinidad and Tobago Uganda Ukraine Vietnam West Indies 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 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 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

Lynn

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Most Immigrants from Kenya in Lynn

200

Zip Codes with the Most Immigrants from Kenya in Lynn, MA

	Zip Code	Kenya	vs State	vs National
1.	01905	196	8,746(2.24%)#14	158,590(0.12%)#183
2.	01902	12	8,746(0.14%)#102	158,590(0.01%)#2,069

Common Questions

What are the Top 3 Zip Codes with the Most Immigrants from Kenya in Lynn, MA?

Top 3 Zip Codes with the Most Immigrants from Kenya in Lynn, MA are:

01905

196

01902

01904

What zip code has the Most Immigrants from Kenya in Lynn, MA?

01905 has the Most Immigrants from Kenya in Lynn, MA with 196.

What is the Total Immigrants from Kenya in Lynn, MA?

Total Immigrants from Kenya in Lynn is 208.

What is the Total Immigrants from Kenya in Massachusetts?

Total Immigrants from Kenya in Massachusetts is 8,746.

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

Total Immigrants from Kenya in the United States is 158,590.