Zip Codes with the Highest Percentage of Population Employed in Enterprise Management in Vienna, VA

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Enterprise Management

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 Hispanic or Latino Native / Alaskan White / Caucasian

Race (Percentage)

Asian Black / African American Hispanic or Latino Native / Alaskan White / Caucasian

Ancestry (Community Size)

Afghan African American Arab Argentinean Armenian Australian Austrian Belgian Bhutanese Bolivian Brazilian British Burmese Canadian Cape Verdean Celtic Central American Central American Indian Cherokee Chilean Colombian Costa Rican Croatian Cuban Czech Czechoslovakian Danish Dutch Eastern European Ecuadorian Egyptian English Ethiopian European Filipino Finnish French French Canadian German Greek Guatemalan Haitian Honduran Hungarian Indian (Asian)Iranian Iraqi Irish Israeli Italian Jamaican Japanese Jordanian Korean Laotian Lebanese Lithuanian Mexican Mexican American Indian Mongolian Northern European Norwegian Pakistani Palestinian Panamanian Paraguayan Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Serbian Slavic Slovak Slovene South African South American Spaniard Spanish Sri Lankan Subsaharan African Sudanese Swedish Swiss Syrian Thai Turkish Ukrainian Venezuelan Vietnamese Welsh West Indian

Ancestry (Percentage)

Immigrant Origin (Total)

Afghanistan Africa Argentina Armenia Asia Bangladesh Barbados Belarus Belgium Bolivia Brazil Bulgaria Cambodia Canada Caribbean Central America China Colombia Cuba Czechoslovakia Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Ethiopia Europe France Germany Greece Guatemala Honduras Hong Kong Hungary India Indonesia Iran Iraq Ireland Israel Italy Japan Jordan Kenya Korea Latin America Lebanon Malaysia Mexico Morocco Nepal Netherlands Northern Africa Northern Europe Pakistan Peru Philippines Poland Portugal Romania Russia Saudi Arabia South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Sudan Syria Taiwan Thailand Turkey Ukraine Venezuela 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 Agriculture, Fishing & Hunting Arts, Entertainment & Recreation Construction Educational ServicesEnterprise ManagementFinance & 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

Vienna

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Map of Zip Codes with the Highest Percentage of Population Employed in Enterprise Management in Vienna

0.050%

0.25%

Zip Codes with the Highest Percentage of Population Employed in Enterprise Management in Vienna Map

Zip Codes with the Highest Percentage of Population Employed in Enterprise Management in Vienna, VA

	Zip Code	% Employed	vs State	vs National
1.	22180	0.25%	0.11% (+0.142)#65	0.14% (+0.110)#3,181
2.	22182	0.050%	0.11% (-0.057)#154	0.14% (-0.089)#6,788

Common Questions

What are the Top Zip Codes with the Highest Percentage of Population Employed in Enterprise Management in Vienna, VA?

Top Zip Codes with the Highest Percentage of Population Employed in Enterprise Management in Vienna, VA are:

22180

0.25%

22182

0.050%

22181

0.0%

What zip code has the Highest Percentage of Population Employed in Enterprise Management in Vienna, VA?

22180 has the Highest Percentage of Population Employed in Enterprise Management in Vienna, VA with 0.25%.

What is the Percentage of Population Employed in Enterprise Management in Vienna, VA?

Percentage of Population Employed in Enterprise Management in Vienna is 0.44%.

What is the Percentage of Population Employed in Enterprise Management in Virginia?

Percentage of Population Employed in Enterprise Management in Virginia is 0.11%.

What is the Percentage of Population Employed in Enterprise Management in the United States?

Percentage of Population Employed in Enterprise Management in the United States is 0.14%.