Zip Codes with the Most Immigrants from Burma / Myanmar in Rochester, MN

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Burma / Myanmar

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 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 Austrian Bangladeshi Belgian Bhutanese Brazilian British Burmese Canadian Celtic Central American Cherokee Chippewa Choctaw Colombian Croatian Cuban Czech Czechoslovakian Danish Dutch Eastern European Ecuadorian Egyptian English Ethiopian European Filipino Finnish French French Canadian German Ghanaian Greek Guamanian / Chamorro Hungarian Indian (Asian)Indonesian Iranian Irish Italian Japanese Korean Latvian Lebanese Lithuanian Luxembourger Malaysian Mexican Mongolian Moroccan Native Hawaiian Nigerian Northern European Norwegian Pakistani Pennsylvania German Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Serbian Sioux Slovak Slovene Somali South American Spanish Sri Lankan Subsaharan African Sudanese Swedish Swiss Thai Turkish Ukrainian Uruguayan Vietnamese Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Asia Australia Bangladesh Belarus Bosnia and Herzegovina BrazilBurma / MyanmarCambodia Cameroon Canada Caribbean Central America China Colombia Croatia Cuba Czechoslovakia Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Ethiopia Europe France Germany Ghana Greece Guatemala India Iran Iraq Ireland Italy Japan Kenya Korea Laos Latin America Lebanon Liberia Malaysia Mexico Middle Africa Morocco Netherlands Nigeria Northern Africa Northern Europe Oceania Pakistan Peru Philippines Poland Romania Russia Saudi Arabia Somalia South Africa South America South Central Asia South Eastern Asia Southern Europe Sudan Switzerland Taiwan Thailand Ukraine Uruguay Vietnam Western Africa Western Asia Western Europe

Immigrant Origin (Percentage)

Africa Argentina Asia Australia Bangladesh Belarus Bosnia and Herzegovina Brazil Burma / Myanmar Cambodia Cameroon Canada Caribbean Central America China Colombia Croatia Cuba Czechoslovakia Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Ethiopia Europe France Germany Ghana Greece Guatemala India Iran Iraq Ireland Italy Japan Kenya Korea Laos Latin America Lebanon Liberia Malaysia Mexico Middle Africa Morocco Netherlands Nigeria Northern Africa Northern Europe Oceania Pakistan Peru Philippines Poland Romania Russia Saudi Arabia Somalia South Africa South America South Central Asia South Eastern Asia Southern Europe Sudan Switzerland Taiwan Thailand Ukraine Uruguay 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 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 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

Rochester

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Map of Zip Codes with the Most Immigrants from Burma / Myanmar in Rochester

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Zip Codes with the Most Immigrants from Burma / Myanmar in Rochester Map

Zip Codes with the Most Immigrants from Burma / Myanmar in Rochester, MN

	Zip Code	Burma / Myanmar	vs State	vs National
1.	55901	147	8,637(1.70%)#-1	157,000(0.09%)#0
2.	55902	66	8,637(0.76%)#0	157,000(0.04%)#1

Common Questions

What are the Top 3 Zip Codes with the Most Immigrants from Burma / Myanmar in Rochester, MN?

Top 3 Zip Codes with the Most Immigrants from Burma / Myanmar in Rochester, MN are:

55901

147

55902

55904

What zip code has the Most Immigrants from Burma / Myanmar in Rochester, MN?

55901 has the Most Immigrants from Burma / Myanmar in Rochester, MN with 147.

What is the Total Immigrants from Burma / Myanmar in Rochester, MN?

Total Immigrants from Burma / Myanmar in Rochester is 213.

What is the Total Immigrants from Burma / Myanmar in Minnesota?

Total Immigrants from Burma / Myanmar in Minnesota is 8,637.

What is the Total Immigrants from Burma / Myanmar in the United States?

Total Immigrants from Burma / Myanmar in the United States is 157,000.