Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in Kirkland, WA

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Computer & Mathematics

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 Aleut American Arab Argentinean Armenian Australian Austrian Basque Belgian Bhutanese Blackfeet Brazilian British Bulgarian Burmese Canadian Central American Cherokee Chilean Colombian Croatian Cuban Czech Czechoslovakian Danish Dutch Eastern European Ecuadorian Egyptian English Estonian Ethiopian European Filipino Finnish French French Canadian German Greek Guamanian / Chamorro Guatemalan Honduran Hungarian Icelander Indian (Asian)Iranian Irish Iroquois Israeli Italian Japanese Korean Laotian Lebanese Lithuanian Malaysian Mexican Mexican American Indian Native Hawaiian Nigerian Northern European Norwegian Pakistani Palestinian Peruvian Polish Portuguese Puerto Rican Puget Sound Salish Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Serbian Slavic Slovak South African South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Thai Turkish Ukrainian Welsh Yaqui Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Asia Australia Bosnia and Herzegovina Brazil Bulgaria Cambodia Canada Caribbean Central America China Czechoslovakia Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt England Eritrea Ethiopia Europe France Germany Guatemala Hong Kong Hungary India Indonesia Iran Ireland Italy Japan Jordan Kazakhstan Kenya Korea Kuwait Latin America Lebanon Mexico Netherlands Northern Africa Northern Europe Oceania Pakistan Peru Philippines Poland Romania Russia Scotland Serbia Singapore South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Sweden Taiwan Thailand Turkey Ukraine Vietnam 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 & MathematicsComputer, 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

Kirkland

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in Kirkland

14.9%

18.4%

Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in Kirkland Map

Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in Kirkland, WA

	Zip Code	% Employed	vs State	vs National
1.	98033	18.4%	6.1% (+12.3)#14	3.5% (+14.8)#166
2.	98034	14.9%	6.1% (+8.79)#24	3.5% (+11.3)#261

Common Questions

What are the Top Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in Kirkland, WA?

Top Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in Kirkland, WA are:

98033

18.4%

98034

14.9%

What zip code has the Highest Percentage of Population Employed in Computer & Mathematics in Kirkland, WA?

98033 has the Highest Percentage of Population Employed in Computer & Mathematics in Kirkland, WA with 18.4%.

What is the Percentage of Population Employed in Computer & Mathematics in Kirkland, WA?

Percentage of Population Employed in Computer & Mathematics in Kirkland is 16.5%.

What is the Percentage of Population Employed in Computer & Mathematics in Washington?

Percentage of Population Employed in Computer & Mathematics in Washington is 6.1%.

What is the Percentage of Population Employed in Computer & Mathematics in the United States?

Percentage of Population Employed in Computer & Mathematics in the United States is 3.5%.