Zip Codes with the Oldest Female Population in New Berlin, WI

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Oldest Population | Female

Population

Highest Population Highest Population Density Lowest Population Density Male / Female Ratio Female / Male Ratio Oldest Population Oldest Population | MaleOldest Population | FemaleYoungest 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

Race (Community Size)

Asian Black / African American Hispanic or Latino White / Caucasian

Race (Percentage)

Asian Black / African American Hispanic or Latino White / Caucasian

Ancestry (Community Size)

American Arab Austrian Belgian British Croatian Czech Czechoslovakian Danish Dutch Eastern European English European Filipino Finnish French German Hungarian Indian (Asian)Irish Italian Korean Latvian Lithuanian Mexican Norwegian Polish Puerto Rican Russian Scandinavian Scottish Serbian Slovak Slovene South American Sri Lankan Swedish Swiss Ukrainian Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Asia Canada Central America China Eastern Asia Eastern Europe Europe Germany Hungary Latin America Mexico Philippines Poland South Eastern Asia Ukraine Vietnam Western Europe

Immigrant Origin (Percentage)

Asia Canada Central America China Eastern Asia Eastern Europe Europe Germany Hungary Latin America Mexico Philippines Poland South Eastern Asia Ukraine Vietnam 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 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 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 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 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

New Berlin

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Map of Zip Codes with the Oldest Female Population in New Berlin

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Zip Codes with the Oldest Female Population in New Berlin Map

Zip Codes with the Oldest Female Population in New Berlin, WI

	Zip Code	Median Age	vs State	vs National
1.	53146	52.8	40.8(+12.0)#125	39.7(+13.1)#5,378
2.	53151	47.6	40.8(+6.80)#253	39.7(+7.90)#9,918

Common Questions

What are the Top Zip Codes with the Oldest Female Population in New Berlin, WI?

Top Zip Codes with the Oldest Female Population in New Berlin, WI are:

53146

52.8

53151

47.6

What zip code has the Oldest Female Population in New Berlin, WI?

53146 has the Oldest Female Population in New Berlin, WI with 52.8.

What is the Median Female Age in New Berlin, WI?

Median Female Age in New Berlin is 48.9.

What is the Median Female Age in Wisconsin?

Median Female Age in Wisconsin is 40.8.

What is the Median Female Age in the United States?

Median Female Age in the United States is 39.7.