Zip Codes with the Highest Wage/Income Gap (%) in Mount Pleasant, MI

Q: What are the Top Zip Codes with the Highest Wage/Income Gap (%) in Mount Pleasant, MI?

Top Zip Codes with the Highest Wage/Income Gap (%) in Mount Pleasant, MI are: #1 48858 38.7% . #2 48859 20.9% .

Q: What zip code has the Highest Wage/Income Gap (%) in Mount Pleasant, MI?

48858 has the Highest Wage/Income Gap (%) in Mount Pleasant, MI with 38.7%.

Q: What is the Wage / Income Gap in Percentage Terms in Mount Pleasant, MI?

Wage / Income Gap in Percentage Terms in Mount Pleasant is 50.2%.

Q: What is the Wage / Income Gap in Percentage Terms in Michigan?

Wage / Income Gap in Percentage Terms in Michigan is 31.6%.

Q: What is the Wage / Income Gap in Percentage Terms in the United States?

Wage / Income Gap in Percentage Terms in the United States is 28.0%.

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Highest Wage/Income Gap (%)

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 Household Size Smallest Household Size

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 American Arab Armenian Assyrian / Chaldean / Syriac Austrian Belgian Burmese Canadian Central American Chippewa Colombian Czech Czechoslovakian Dutch Eastern European English European Finnish French French Canadian German Greek Guatemalan Hungarian Indian (Asian)Irish Italian Japanese Lebanese Lithuanian Maltese Mexican Nigerian Norwegian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scottish Slovene South American Spaniard Sri Lankan Subsaharan African Swedish Thai Ukrainian Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Asia Austria Cambodia Canada Central America China Eastern Asia England Europe Germany Guatemala India Latin America Mexico Northern Europe South Central Asia South Eastern Asia Southern Europe Spain Taiwan Western Europe

Immigrant Origin (Percentage)

Income

Highest Per Capita Income Highest Earnings | Male Highest Earnings | Female Highest Wage/Income Gap ($)Highest Wage/Income Gap (%)Lowest Per Capita Income Lowest Earnings | Male Lowest Earnings | Female Lowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)

Poverty

Unemployment

Employment Occupations

Architecture & Engineering Arts, Media & Entertainment Business & Financial Cleaning & Maintenance Community & Social Service Computer, Engineering & Science Construction & Extraction Education Instruction & Library Education, Arts & Media Firefighting & Prevention Food Preparation & Serving Healthcare Support Installation, Maintenance & Repair 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 Arts, Entertainment & Recreation Construction Educational Services Finance & Insurance Health Care & Social Assistance Information & Technology Manufacturing Public Administration Real Estate, Rental & Leasing Retail Trade 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 College University

Education by Degree Field

Computers and Mathematics Bio, Nature & Agricultural Physical and Health Sciences Science and Engineering Business Literature and Languages Liberal Arts and History Communications Arts and Humanities

Occupancy

Highest Renter-Occupied Lowest Renter-Occupied

Physical Characteristics

Condo/Apartment Residency Electrical Heating Households with 1 or more Cars Households with 2 or more Cars

Mount Pleasant

United States

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Michigan Cities

Ann Arbor Battle Creek Bay City Bloomfield Hills Brighton Burton Canton Clarkston Clinton Township Dearborn Dearborn Heights Detroit East Lansing Farmington Flint Grand Rapids Grosse Pointe Highland Holland Howell Jackson Kalamazoo Lake Orion Lansing Livonia Macomb Midland Milford MonroeMount PleasantMuskegon New Baltimore New Haven Northville Novi Oxford Pontiac Portage Redford Rochester Royal Oak Saginaw Saint Clair Shores Southfield Sterling Heights Traverse City Troy Utica Warren Washington Waterford West Bloomfield Westland White Lake Wyoming Ypsilanti

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Map of Zip Codes with the Highest Wage/Income Gap (%) in Mount Pleasant

20.9%

38.7%