Zip Codes with the Highest Percentage of Population Employed in Enterprise Management in Santa Clara, CA

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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 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 Albanian American Apache Arab Argentinean Armenian Australian Austrian Bangladeshi Basque Belgian Bhutanese Bolivian Brazilian British Burmese Canadian Central American Central American Indian Cherokee Chilean Choctaw Colombian Costa Rican Croatian Cuban Czech Danish Dutch Eastern European Egyptian English Ethiopian European Filipino Finnish French French Canadian German Greek Guamanian / Chamorro Guatemalan Honduran Hungarian Indian (Asian)Indonesian Iranian Irish Israeli Italian Jamaican Japanese Kenyan Korean Laotian Latvian Lebanese Lithuanian Malaysian Mexican Mexican American Indian Moroccan Native Hawaiian Navajo Nicaraguan Nigerian Northern European Norwegian Okinawan Pakistani Palestinian Panamanian Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Serbian Slavic Slovak South African South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Syrian Thai Trinidadian and Tobagonian Turkish Ukrainian Venezuelan Vietnamese Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Asia Australia Azores Bangladesh Belarus Belgium Bolivia Bosnia and Herzegovina Brazil Burma / Myanmar Cambodia Canada Caribbean Central America Chile China Colombia Croatia Cuba Eastern Africa Eastern Asia Eastern Europe Egypt El Salvador England Eritrea Ethiopia Europe Fiji France Germany Greece Guatemala Honduras Hong Kong India Indonesia Iran Ireland Israel Italy Japan Jordan Kazakhstan Kenya Korea Kuwait Latin America Latvia Lebanon Malaysia Mexico Middle Africa Moldova Nepal Netherlands Nicaragua Nigeria Northern Africa Northern Europe Oceania Pakistan Peru Philippines Poland Portugal Russia Singapore South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Sri Lanka Syria Taiwan Thailand Turkey Ukraine Venezuela 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 & 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 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-less Heating Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Santa Clara

United States

States

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California Cities

Alameda Alhambra Anaheim Arcadia Auburn Bakersfield Berkeley Buena Park Burbank Carlsbad Castro Valley Chula Vista Citrus Heights Clovis Compton Concord Corona Costa Mesa Covina Danville Downey Duarte El Cajon Elk Grove Escondido Fairfield Fontana Fremont Fresno Fullerton Garden Grove Gardena Glendale Hayward Huntington Beach Inglewood Irvine La Mesa Lakewood Livermore Lodi Long Beach Los Angeles Los Gatos Manteca Menifee Mission Viejo Modesto Monterey Park Moreno Valley Mountain View Napa Newport Beach North Hollywood Northridge Oakland Oceanside Ontario Orange Oxnard Palmdale Palo Alto Pasadena Pleasanton Rancho Cordova Rancho Cucamonga Redding Redlands Redondo Beach Redwood City Rialto Riverside Rocklin Roseville Sacramento Salinas San Bernardino San Clemente San Diego San Francisco San Jose San Leandro San Marcos San Mateo San Ramon Santa Ana Santa BarbaraSanta ClaraSanta Maria Santa Monica Santa Rosa Sherman Oaks Simi Valley Stockton Sunnyvale Temecula Thousand Oaks Torrance Tracy Valencia Vallejo Van Nuys Ventura Visalia Vista Walnut Creek West Covina Whittier Woodland Woodland Hills Yorba Linda Yuba City

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

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0.50%

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

Zip Codes with the Highest Percentage of Population Employed in Enterprise Management in Santa Clara, CA

	Zip Code	% Employed	vs State	vs National
1.	95050	0.45%	0.13%(+0.314)#92	0.14%(+0.307)#1,644
2.	95051	0.15%	0.13%(+0.018)#340	0.14%(+0.010)#4,690

Common Questions

What are the Top 3 Zip Codes with the Highest Percentage of Population Employed in Enterprise Management in Santa Clara, CA?

Top 3 Zip Codes with the Highest Percentage of Population Employed in Enterprise Management in Santa Clara, CA are:

95050

0.45%

95051

0.15%

95054

0.0%

What zip code has the Highest Percentage of Population Employed in Enterprise Management in Santa Clara, CA?

95050 has the Highest Percentage of Population Employed in Enterprise Management in Santa Clara, CA with 0.45%.

What is the Percentage of Population Employed in Enterprise Management in Santa Clara, CA?

Percentage of Population Employed in Enterprise Management in Santa Clara is 0.21%.

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

Percentage of Population Employed in Enterprise Management in California is 0.13%.

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%.