Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Federal Way, WA

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Highest Poverty | Female 25-34

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 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)

African American Arab Argentinean Armenian Austrian Basque Belgian Bhutanese Blackfeet Brazilian British Burmese Cambodian Canadian Celtic Central American Cherokee Chilean Chippewa Colombian Colville Costa Rican Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European English Ethiopian European Finnish French French American Indian French Canadian German Greek Guamanian / Chamorro Guatemalan Honduran Hungarian Icelander Indian (Asian)Iranian Irish Iroquois Italian Jamaican Japanese Kenyan Korean Latvian Lebanese Liberian Lithuanian Malaysian Mexican Mexican American Indian Native Hawaiian Nicaraguan Nigerian Northern European Norwegian Pakistani Panamanian Peruvian Polish Portuguese Puerto Rican Puget Sound Salish Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Serbian Sioux Somali South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Thai Tlingit-Haida Tongan Turkish Ugandan Ukrainian Venezuelan Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Afghanistan Africa Armenia Asia Brazil Cambodia Canada Caribbean Central America Chile China Colombia Congo Costa Rica Cuba Eastern Africa Eastern Asia Eastern Europe El Salvador England Ethiopia Europe Germany Ghana Guatemala Honduras Hong Kong India Indonesia Iran Jamaica Japan Kazakhstan Kenya Korea Laos Latin America Latvia Liberia Mexico Micronesia Middle Africa Moldova Nicaragua Nigeria Northern Europe Oceania Pakistan Panama Peru Philippines Russia Somalia South Africa South America South Central Asia South Eastern Asia Switzerland Thailand Uganda Ukraine Venezuela Vietnam Western Africa Western Asia Western Europe Zaire

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 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 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

Federal Way

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Federal Way

0.0%

20.0%

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Federal Way Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Federal Way, WA

	Zip Code	Female Poverty	vs State	vs National
1.	98003	17.8%	11.7%(+6.07)#154	14.5%(+3.32)#10,102
2.	98023	6.9%	11.7%(-4.86)#345	14.5%(-7.61)#18,886

Common Questions

What are the Top Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Federal Way, WA?

Top Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Federal Way, WA are:

98003

17.8%

98023

6.9%

What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Federal Way, WA?

98003 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Federal Way, WA with 17.8%.

What is the Poverty Level Among Females Between Ages 25 and 34 in Federal Way, WA?

Poverty Level Among Females Between Ages 25 and 34 in Federal Way is 14.2%.

What is the Poverty Level Among Females Between Ages 25 and 34 in Washington?

Poverty Level Among Females Between Ages 25 and 34 in Washington is 11.7%.

What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?

Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.