Zip Codes with the Youngest Female Population in Lake Oswego, OR

Q: What are the Top Zip Codes with the Youngest Female Population in Lake Oswego, OR?

Top Zip Codes with the Youngest Female Population in Lake Oswego, OR are: #1 97035 43.3 . #2 97034 50.6 .

Q: What zip code has the Youngest Female Population in Lake Oswego, OR?

97035 has the Youngest Female Population in Lake Oswego, OR with 43.3.

Q: What is the Median Female Age in Lake Oswego, OR?

Median Female Age in Lake Oswego is 48.9.

Q: What is the Median Female Age in Oregon?

Median Female Age in Oregon is 40.8.

Q: What is the Median Female Age in the United States?

Median Female Age in the United States is 39.7.

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Youngest Population | Female

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 | MaleYoungest 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 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)

American Arab Armenian Austrian Belgian Bhutanese British Burmese Cajun Canadian Central American Cherokee Creek Croatian Cuban Czech Danish Dutch Eastern European English Ethiopian European Finnish French French Canadian German Greek Hungarian Indian (Asian)Iranian Irish Italian Jamaican Korean Laotian Latvian Lithuanian Malaysian Mexican Native Hawaiian New Zealander Northern European Norwegian Panamanian Peruvian Polish Portuguese Puerto Rican Romanian Russian Scandinavian Scotch-Irish Scottish Slovak South African South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Syrian Thai Turkish Ukrainian Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Asia Australia Belgium Canada Caribbean Central America China Cuba Czechoslovakia Eastern Africa Eastern Asia Eastern Europe Egypt England Europe France Germany Hong Kong India Iran Japan Kenya Korea Latin America Mexico Northern Africa Northern Europe Oceania Pakistan Panama Philippines Scotland South Africa South America South Central Asia South Eastern Asia Switzerland Syria Taiwan Ukraine Vietnam 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 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 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 Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Lake Oswego

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Map of Zip Codes with the Youngest Female Population in Lake Oswego

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