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Demographic Comparison

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 Smallest Family Size Smallest Household Size

Female Fertility

Highest Birth Rate | All Women Highest Birth Rate | Women 35+Highest Birth Rate | Below Poverty Highest Birth Rate | Public Income Highest Birth Rate | In Labor Force Lowest Birth Rate | All Women Lowest Birth Rate | Women 35+Lowest Birth Rate | Below Poverty Lowest Birth Rate | Public Income Lowest Birth Rate | In Labor Force

Female Fertility (Unmarried)

Highest Illegitimacy | All Women Highest Illegitimacy | Women 35+Lowest Illegitimacy | All Women Lowest Illegitimacy | Women 35+

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 Aleut American Apache Arab Armenian Australian Austrian Belgian Blackfeet British Bulgarian Burmese Cambodian Canadian Central American Central American Indian Cherokee Chickasaw Chilean Chinese Chippewa Choctaw Colombian Colville Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European English Estonian Ethiopian European Filipino Finnish French French American Indian French Canadian German Greek Guamanian / Chamorro Guatemalan Honduran Hungarian Icelander Indian (Asian)Iraqi Irish Iroquois Italian Jamaican Japanese Kenyan Korean Laotian Latvian Lebanese Lithuanian Marshallese Mexican Mexican American Indian Native Hawaiian Nepalese Nicaraguan Northern European Norwegian Pakistani Palestinian Panamanian Pennsylvania German Peruvian Polish Portuguese Potawatomi Puerto Rican Puget Sound Salish Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Sioux Slavic Slovak Slovene South African South American Spaniard Spanish Subsaharan African Swedish Swiss Taiwanese Thai Tongan Ukrainian Venezuelan Vietnamese Welsh West Indian Yakama Yugoslavian

Ancestry (Percentage)

African Aleut American Apache Arab Armenian Australian Austrian Belgian Blackfeet British Bulgarian Burmese Cambodian Canadian Central American Central American Indian Cherokee Chickasaw Chilean Chinese Chippewa Choctaw Colombian Colville Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European English Estonian Ethiopian European Filipino Finnish French French American Indian French Canadian German Greek Guamanian / Chamorro Guatemalan Honduran Hungarian Icelander Indian (Asian)Iraqi Irish Iroquois Italian Jamaican Japanese Kenyan Korean Laotian Latvian Lebanese Lithuanian Marshallese Mexican Mexican American Indian Native Hawaiian Nepalese Nicaraguan Northern European Norwegian Pakistani Palestinian Panamanian Pennsylvania German Peruvian Polish Portuguese Potawatomi Puerto Rican Puget Sound Salish Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Sioux Slavic Slovak Slovene South African South American Spaniard Spanish Subsaharan African Swedish Swiss Taiwanese Thai Tongan Ukrainian Venezuelan Vietnamese Welsh West Indian Yakama Yugoslavian

Immigrant Origin (Total)

Africa Asia Austria Belarus Burma / Myanmar Cambodia Canada Caribbean Central America China Colombia Cuba Czechoslovakia Eastern Africa Eastern Asia Eastern Europe El Salvador England Ethiopia Europe France Germany Guatemala Hungary India Iraq Italy Jamaica Japan Kenya Korea Laos Latin America Malaysia Mexico Micronesia Moldova Nepal Netherlands Northern Europe Oceania Pakistan Panama Peru Philippines Poland Portugal Russia Scotland South America South Central Asia South Eastern Asia Southern Europe Spain Taiwan Thailand Ukraine Venezuela Vietnam Western Africa Western Asia Western Europe

Immigrant Origin (Percentage)

Africa Asia Austria Belarus Burma / Myanmar Cambodia Canada Caribbean Central America China Colombia Cuba Czechoslovakia Eastern Africa Eastern Asia Eastern Europe El Salvador England Ethiopia Europe France Germany Guatemala Hungary India Iraq Italy Jamaica Japan Kenya Korea Laos Latin America Malaysia Mexico Micronesia Moldova Nepal Netherlands Northern Europe Oceania Pakistan Panama Peru Philippines Poland Portugal Russia Scotland South America South Central Asia South Eastern Asia Southern Europe Spain Taiwan Thailand Ukraine Venezuela Vietnam Western Africa Western Asia Western Europe

Economic Comparison

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

Highest Poverty Highest Poverty | Male Highest Poverty | Female Highest Poverty | Female 18-24 Highest Poverty | Female 25-34 Highest Poverty | Child 0-5 Highest Poverty | Child 0-16 Highest Poverty | Boys 0-16 Highest Poverty | Girls 0-16 Highest Poverty | Seniors 65+Highest Poverty | Seniors 75+ Lowest Poverty Lowest Poverty | Male Lowest Poverty | Female Lowest Poverty | Child 0-5 Lowest Poverty | Child 0-16 Lowest Poverty | Boys 0-16 Lowest Poverty | Girls 0-16 Lowest Poverty | Seniors 65+Lowest Poverty | Seniors 75+

Poverty (Families)

Highest Family Poverty Highest Poverty | Married Couple Highest Poverty | Single Male Highest Poverty | Single Female Highest Poverty | Single Father Highest Poverty | Single Mother Lowest Family Poverty Lowest Poverty | Married Couple Lowest Poverty | Single Male Lowest Poverty | Single Female Lowest Poverty | Single Father Lowest Poverty | Single Mother

Unemployment

Highest Unemployment Highest Unemployment | Male Highest Unemployment | Female Highest Unemployment | Youth < 25 Highest Unemployment | Senior > 65 Lowest Unemployment Lowest Unemployment | Male Lowest Unemployment | Female Lowest Unemployment | Youth < 25 Lowest Unemployment | Senior > 65

Employment Occupations

Architecture & Engineering Arts, Media & Entertainment Business & Financial Cleaning & Maintenance Community & Social Service Computer & MathematicsComputer, Engineering & ScienceConstruction & 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 Mining, Quarrying, & Extraction 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

Education Comparison

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

Housing Comparison

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

Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Puyallup, WA

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Common Questions Comparison Map Comparison Data

Common Questions

What are the Top 3 Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Puyallup, WA?

Top 3 Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Puyallup, WA are:

#1

5.2%

#2

4.4%

#3

4.3%

What zip code has the Highest Percentage of Population Employed in Computer, Engineering & Science in Puyallup, WA?

98372 has the Highest Percentage of Population Employed in Computer, Engineering & Science in Puyallup, WA with 5.2%.

What is the Percentage of Population Employed in Computer, Engineering & Science in Puyallup, WA?

Percentage of Population Employed in Computer, Engineering & Science in Puyallup is 4.4%.

What is the Percentage of Population Employed in Computer, Engineering & Science in Washington?

Percentage of Population Employed in Computer, Engineering & Science in Washington is 9.6%.

What is the Percentage of Population Employed in Computer, Engineering & Science in the United States?

Percentage of Population Employed in Computer, Engineering & Science in the United States is 6.5%.

Map of Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Puyallup

3.0%

7.5%

Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Puyallup Map

Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Puyallup, WA

Zip Codes with the Highest Percentage of Population Employed in Computer, Engineering & Science in Puyallup Chart

	Zip Code	% Employed	vs State	vs National
1.	98372	5.2%	9.6%(-4.33)#266	6.5%(-1.26)#10,053
2.	98371	4.4%	9.6%(-5.14)#312	6.5%(-2.07)#12,352
3.	98374	4.3%	9.6%(-5.23)#320	6.5%(-2.16)#12,629
4.	98375	4.2%	9.6%(-5.40)#328	6.5%(-2.33)#13,205
5.	98373	3.4%	9.6%(-6.12)#365	6.5%(-3.05)#15,692