Zip Codes with the Largest Bangladeshi Community in Troy, MI

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Bangladeshi

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 Assyrian / Chaldean / Syriac AustrianBangladeshiBelgian Bhutanese Brazilian British Bulgarian Burmese Canadian Central American Cherokee Chippewa Colombian Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European Egyptian English European Filipino Finnish French French Canadian German Greek Honduran Hungarian Indian (Asian)Iraqi Irish Italian Jamaican Jordanian Korean Lebanese Lithuanian Luxembourger Macedonian Maltese Mexican Mexican American Indian Mongolian Native Hawaiian Norwegian Pakistani Palestinian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Serbian Sioux Slavic Slovak Slovene South African South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Syrian Thai Turkish Ukrainian Vietnamese Welsh Yugoslavian

Ancestry (Percentage)

African Albanian American Arab Argentinean Armenian Assyrian / Chaldean / Syriac Austrian Bangladeshi Belgian Bhutanese Brazilian British Bulgarian Burmese Canadian Central American Cherokee Chippewa Colombian Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European Egyptian English European Filipino Finnish French French Canadian German Greek Honduran Hungarian Indian (Asian)Iraqi Irish Italian Jamaican Jordanian Korean Lebanese Lithuanian Luxembourger Macedonian Maltese Mexican Mexican American Indian Mongolian Native Hawaiian Norwegian Pakistani Palestinian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Serbian Sioux Slavic Slovak Slovene South African South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Syrian Thai Turkish Ukrainian Vietnamese Welsh Yugoslavian

Immigrant Origin (Total)

Africa Albania Argentina Asia Austria Bangladesh Belgium Bosnia and Herzegovina Brazil Burma / Myanmar Cameroon Canada Caribbean Central America China Colombia Costa Rica Croatia Eastern Africa Eastern Asia Eastern Europe Egypt England Europe France Germany Greece Honduras Hong Kong India Iran Iraq Israel Italy Jamaica Japan Kazakhstan Kenya Korea Kuwait Latin America Lebanon Malaysia Mexico Middle Africa Nepal North Macedonia Northern Africa Northern Europe Norway Pakistan Philippines Poland Romania Russia Serbia Singapore South Africa South America South Central Asia South Eastern Asia Southern Europe Sri Lanka Syria Taiwan Thailand Turkey Ukraine Vietnam Western Africa 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 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 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-less Heating Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Troy

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Map of Zip Codes with the Largest Bangladeshi Community in Troy

Zip Codes with the Largest Bangladeshi Community in Troy Map

Zip Codes with the Largest Bangladeshi Community in Troy, MI

	Zip Code	Bangladeshi	vs State	vs National
1.	48084	34	7,768(0.44%)#42	348,407(0.01%)#958
2.	48083	9	7,768(0.12%)#67	348,407(0.00%)#1,445

Common Questions

What are the Top 3 Zip Codes with the Largest Bangladeshi Community in Troy, MI?

Top 3 Zip Codes with the Largest Bangladeshi Community in Troy, MI are:

48084

48083

48085

What zip code has the Largest Bangladeshi Community in Troy, MI?

48084 has the Largest Bangladeshi Community in Troy, MI with 34.

What is the Total Bangladeshi Population in Troy, MI?

Total Bangladeshi Population in Troy is 43.

What is the Total Bangladeshi Population in Michigan?

Total Bangladeshi Population in Michigan is 7,768.

What is the Total Bangladeshi Population in the United States?

Total Bangladeshi Population in the United States is 348,407.