Zip Codes with the Highest Percentage of Population Taking Public Transit to Work in San Luis Obispo, CA

Q: What are the Top 3 Zip Codes with the Highest Percentage of Population Taking Public Transit to Work in San Luis Obispo, CA?

Top 3 Zip Codes with the Highest Percentage of Population Taking Public Transit to Work in San Luis Obispo, CA are: #1 93401 38.7% . #2 93405 21.3% . #3 93410 20.4% .

Q: What zip code has the Highest Percentage of Population Taking Public Transit to Work in San Luis Obispo, CA?

93401 has the Highest Percentage of Population Taking Public Transit to Work in San Luis Obispo, CA with 38.7%.

Q: What is the Percentage of Population Taking Public Transit to Work in California?

Percentage of Population Taking Public Transit to Work in California is 38.0%.

Q: What is the Percentage of Population Taking Public Transit to Work in the United States?

Percentage of Population Taking Public Transit to Work in the United States is 38.5%.

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Public Transit

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 & 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 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 | CarpoolPublic TransitTaxi / 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

Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District Of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Puerto Rico Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming

California Cities

Alameda Alhambra Anaheim Antioch Apple Valley Arcadia Bakersfield Berkeley Beverly Hills Buena Park Burbank Camarillo Canoga Park Canyon Country Carlsbad Carson Castro Valley Chico Chula Vista Citrus Heights Clovis Compton Concord Corona Costa Mesa Covina Culver City Daly City Danville Davis Desert Hot Springs Downey El Cajon El Monte Elk Grove Encino Escondido Eureka Fairfield Fontana Fremont Fresno Fullerton Garden Grove Gardena Glendale Glendora Hayward Hemet Huntington Beach Inglewood Irvine La Jolla La Mesa La Puente Lake Elsinore Lakewood Lancaster Livermore Lodi Long Beach Los Altos Los Angeles Los Gatos Malibu Manteca Menifee Merced Mission Viejo Modesto Monterey Monterey Park Moreno Valley Mountain View Murrieta Napa North Hollywood Northridge Novato Oakland Oceanside Ontario Orange Oroville Oxnard Palm Springs Palmdale Palo Alto Pasadena Perris Petaluma Pleasanton Pomona Rancho Cordova Rancho Cucamonga Redding 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 Thousand Oaks Torrance Tracy Turlock Tustin Upland Vacaville Valencia Vallejo Van Nuys Ventura Victorville Visalia Vista Walnut Creek West Covina Whittier Woodland Woodland Hills Yorba Linda Yuba City

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Highest Percentage of Population Taking Public Transit to Work in San Luis Obispo

0.0%

40.0%

Zip Codes with the Highest Percentage of Population Taking Public Transit to Work in San Luis Obispo Map

Zip Codes with the Highest Percentage of Population Taking Public Transit to Work in San Luis Obispo, CA

	Zip Code	% Public Transit	vs State	vs National
1.	93401	38.7%	38.0%(+0.700)#513	38.5%(+0.200)#4,613
2.	93405	21.3%	38.0%(-16.7)#937	38.5%(-17.2)#7,949
3.	93410	20.4%	38.0%(-17.6)#943	38.5%(-18.1)#8,036

Common Questions

What are the Top 3 Zip Codes with the Highest Percentage of Population Taking Public Transit to Work in San Luis Obispo, CA?

Top 3 Zip Codes with the Highest Percentage of Population Taking Public Transit to Work in San Luis Obispo, CA are:

93401

38.7%

93405

21.3%

93410

20.4%

What zip code has the Highest Percentage of Population Taking Public Transit to Work in San Luis Obispo, CA?

93401 has the Highest Percentage of Population Taking Public Transit to Work in San Luis Obispo, CA with 38.7%.

What is the Percentage of Population Taking Public Transit to Work in San Luis Obispo, CA?

Percentage of Population Taking Public Transit to Work in San Luis Obispo is 22.4%.

What is the Percentage of Population Taking Public Transit to Work in California?

Percentage of Population Taking Public Transit to Work in California is 38.0%.

What is the Percentage of Population Taking Public Transit to Work in the United States?

Percentage of Population Taking Public Transit to Work in the United States is 38.5%.