Zip Codes with the Highest Percentage of Immigrants from Uganda in Framingham, MA

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Uganda

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 Bahamian Bhutanese Brazilian British Burmese Canadian Cape Verdean Celtic Central American Central American Indian Cherokee Colombian Czech Czechoslovakian Danish Dominican Dutch Eastern European English Ethiopian European Finnish French French Canadian German Ghanaian Greek Guatemalan Haitian Hungarian Indian (Asian)Iranian Irish Israeli Italian Japanese Kenyan Korean Latvian Lebanese Lithuanian Mexican Nicaraguan Nigerian Northern European Norwegian Panamanian Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Slovak South African South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Syrian Thai Trinidadian and Tobagonian Turkish Ugandan Ukrainian Venezuelan Welsh West Indian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Asia Bahamas Belarus Brazil Cambodia Cameroon Canada Caribbean Central America China Colombia Czechoslovakia Dominican Republic Eastern Africa Eastern Asia Eastern Europe Egypt El Salvador England Ethiopia Europe France Germany Ghana Greece Guatemala Guyana Haiti Hong Kong India Iran Iraq Ireland Israel Italy Japan Kenya Korea Latin America Mexico Middle Africa Morocco Northern Africa Northern Europe Pakistan Panama Peru Philippines Portugal Russia Saudi Arabia Singapore South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Taiwan Trinidad and Tobago Turkey Uganda Ukraine Venezuela Vietnam Western Africa Western Asia Western Europe

Immigrant Origin (Percentage)

Africa Argentina Asia Bahamas Belarus Brazil Cambodia Cameroon Canada Caribbean Central America China Colombia Czechoslovakia Dominican Republic Eastern Africa Eastern Asia Eastern Europe Egypt El Salvador England Ethiopia Europe France Germany Ghana Greece Guatemala Guyana Haiti Hong Kong India Iran Iraq Ireland Israel Italy Japan Kenya Korea Latin America Mexico Middle Africa Morocco Northern Africa Northern Europe Pakistan Panama Peru Philippines Portugal Russia Saudi Arabia Singapore South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Taiwan Trinidad and Tobago TurkeyUgandaUkraine Venezuela Vietnam 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

Framingham

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Highest Percentage of Immigrants from Uganda in Framingham

0.28%

0.37%

Zip Codes with the Highest Percentage of Immigrants from Uganda in Framingham, MA

	Zip Code	Uganda	vs State	vs National
1.	01702	0.37%	0.073%(+0.300)#-1	0.011%(+0.362)#0
2.	01701	0.28%	0.073%(+0.203)#0	0.011%(+0.265)#1

Common Questions

What are the Top Zip Codes with the Highest Percentage of Immigrants from Uganda in Framingham, MA?

Top Zip Codes with the Highest Percentage of Immigrants from Uganda in Framingham, MA are:

01702

0.37%

01701

0.28%

What zip code has the Highest Percentage of Immigrants from Uganda in Framingham, MA?

01702 has the Highest Percentage of Immigrants from Uganda in Framingham, MA with 0.37%.

What is the Percentage of Immigrants from Uganda in Framingham, MA?

Percentage of Immigrants from Uganda in Framingham is 0.33%.

What is the Percentage of Immigrants from Uganda in Massachusetts?

Percentage of Immigrants from Uganda in Massachusetts is 0.073%.

What is the Percentage of Immigrants from Uganda in the United States?

Percentage of Immigrants from Uganda in the United States is 0.011%.