Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in San Luis Obispo, CA

Q: What are the Top 3 Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in San Luis Obispo, CA?

Top 3 Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in San Luis Obispo, CA are: #1 93401 6.4% . #2 93405 4.1% . #3 93410 2.2% .

Q: What zip code has the Highest Percentage of Population Employed in Computer & Mathematics in San Luis Obispo, CA?

93401 has the Highest Percentage of Population Employed in Computer & Mathematics in San Luis Obispo, CA with 6.4%.

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

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Asia Australia Brazil Burma / Myanmar Canada Central America China Eastern Asia Eastern Europe Ecuador El Salvador England Europe France Germany Guatemala Honduras Hong Kong India Iran Israel Italy Japan Jordan Korea Latin America Mexico Morocco Netherlands Northern Africa Northern Europe Oceania Peru Philippines Russia South Africa South America South Central Asia South Eastern Asia Southern Europe Sri Lanka Sweden Switzerland Taiwan Thailand 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 & 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 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

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

San Luis Obispo

United States

States

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California Cities

Alameda Alhambra Anaheim Antioch Apple Valley Arcadia Auburn Bakersfield Berkeley Beverly Hills Brea Buena Park Burbank Camarillo Canoga Park Canyon Country Carlsbad Carson Castro Valley Chico Chino Chula Vista Citrus Heights Clovis Compton Concord Corona Costa Mesa Covina Culver City Daly City Danville Davis Desert Hot Springs Downey Duarte El Cajon El Monte Elk Grove Encino Escondido Eureka Fairfield Fontana Fremont Fresno Fullerton Garden Grove Gardena Glendale Glendora Grass Valley Hayward Hemet Hesperia Huntington Beach Indio Inglewood Irvine La Jolla La Mesa La Mirada La Puente Lake Elsinore Lakewood Lancaster Livermore Lodi Lompoc Long Beach Los Altos Los Angeles Los Gatos Madera Malibu Manteca Menifee Merced Mission Viejo Modesto Monterey Park Moraga Moreno Valley Mountain View Murrieta Napa Newport Beach North Hollywood Northridge Novato Oakland Oceanside Ontario Orange Oroville Oxnard Palm Desert Palm Springs Palmdale Palo Alto Pasadena Perris Petaluma Pleasanton Pomona Porterville Rancho Cordova Rancho Cucamonga Redding Redlands Redondo Beach Redwood City Rialto Richmond Riverside Rocklin Roseville Sacramento Salinas San Bernardino San Clemente San Diego San Francisco San Gabriel San Jacinto San Jose San LeandroSan Luis ObispoSan Marcos San Mateo San Pedro San Rafael San Ramon Santa Ana Santa Barbara Santa Clara Santa Clarita Santa Cruz Santa Maria Santa Monica Santa Rosa Sherman Oaks Simi Valley Spring Valley Stockton Sunnyvale Temecula Thousand Oaks Torrance Trabuco Canyon Tracy Turlock Tustin Upland Vacaville Valencia Vallejo Van Nuys Ventura Victorville Visalia Vista Walnut Creek West Covina West Sacramento Whittier Woodland Woodland Hills Yorba Linda Yuba City

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Map of Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in San Luis Obispo

2.2%

6.4%

Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in San Luis Obispo Map

Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in San Luis Obispo, CA

	Zip Code	% Employed	vs State	vs National
1.	93401	6.4%	4.1% (+2.33)#227	3.5% (+2.90)#1,983
2.	93405	4.1%	4.1% (+0.027)#410	3.5% (+0.604)#4,761
3.	93410	2.2%	4.1% (-1.94)#837	3.5% (-1.37)#11,080

Common Questions

What are the Top 3 Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in San Luis Obispo, CA?

Top 3 Zip Codes with the Highest Percentage of Population Employed in Computer & Mathematics in San Luis Obispo, CA are:

93401

6.4%

93405

4.1%

93410

2.2%

What zip code has the Highest Percentage of Population Employed in Computer & Mathematics in San Luis Obispo, CA?

93401 has the Highest Percentage of Population Employed in Computer & Mathematics in San Luis Obispo, CA with 6.4%.

What is the Percentage of Population Employed in Computer & Mathematics in San Luis Obispo, CA?

Percentage of Population Employed in Computer & Mathematics in San Luis Obispo is 5.7%.

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

Percentage of Population Employed in Computer & Mathematics in California is 4.1%.

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%.