Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in New Baltimore, MI

Q: What are the Top Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in New Baltimore, MI?

Top Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in New Baltimore, MI are: #1 48051 8.0% . #2 48047 4.9% .

Q: What zip code has the Highest Poverty Level Among Seniors Over the Age of 65 in New Baltimore, MI?

48051 has the Highest Poverty Level Among Seniors Over the Age of 65 in New Baltimore, MI with 8.0%.

Q: What is the Poverty Level Among Seniors Over the Age of 65 in Michigan?

Poverty Level Among Seniors Over the Age of 65 in Michigan is 9.0%.

Q: What is the Poverty Level Among Seniors Over the Age of 65 in the United States?

Poverty Level Among Seniors Over the Age of 65 in the United States is 10.0%.

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Highest Poverty | Seniors 65+

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 Lowest Illegitimacy | All Women

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 Assyrian / Chaldean / Syriac Austrian Bangladeshi Belgian British Burmese Canadian Central American Cherokee Chippewa Cuban Czech Czechoslovakian Danish Dutch Eastern European English European Finnish French French American Indian French Canadian German Greek Hungarian Irish Italian Lebanese Lithuanian Maltese Mexican Nigerian Norwegian Polish Portuguese Puerto Rican Romanian Russian Scotch-Irish Scottish Serbian Sioux Slavic Slovak Spanish Subsaharan African Swedish Syrian Thai Ukrainian Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Albania Asia Canada Central America Colombia Eastern Asia Eastern Europe Europe Germany India Iraq Italy Korea Laos Latin America Mexico Nigeria Northern Europe Poland South America South Central Asia South Eastern Asia Southern Europe Turkey 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 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 Taxi / Cab 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 Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

New Baltimore

United States

States

Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District Of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Puerto Rico Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming

Michigan Cities

Ann Arbor Battle Creek Bay City Bloomfield Hills Brighton Burton Canton Clarkston Clinton Township Dearborn Dearborn Heights Detroit Farmington Flint Grand Rapids Grosse Pointe Highland Holland Howell Jackson Kalamazoo Lake Orion Lansing Livonia Macomb Midland Milford Monroe Mount Pleasant MuskegonNew BaltimoreNew 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 Poverty Level Among Seniors Over the Age of 65 in New Baltimore

4.9%

8.0%