Database Download

Social Profiles

By Race

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

By Ancestry

Afghan African Alaska Native Alaskan Athabascan Albanian Aleut Alsatian American Apache Arab Arapaho Argentinean Armenian Assyrian/Chaldean/Syriac Australian Austrian Bahamian Bangladeshi Barbadian Basque Belgian Belizean Bermudan Bhutanese Blackfeet Bolivian Brazilian British British West Indian Bulgarian Burmese Cajun Cambodian Canadian Cape Verdean Carpatho Rusyn Celtic Central American Central American Indian Cherokee Cheyenne Chickasaw Chilean Chinese Chippewa Choctaw Colombian Colville Comanche Costa Rican Cree Creek Croatian Crow Cuban Cypriot Czech Czechoslovakian Danish Delaware Dominican Dutch Dutch West Indian Eastern European Ecuadorian Egyptian English Estonian Ethiopian European Fijian Filipino Finnish French French American Indian French Canadian German German Russian Ghanaian Greek Guamanian/Chamorro Guatemalan Guyanese Haitian Hmong Honduran Hopi Houma Hungarian Icelander Indian (Asian)Indonesian Inupiat Iranian Iraqi Irish Iroquois Israeli Italian Jamaican Japanese Jordanian Kenyan Kiowa Korean Laotian Latvian Lebanese Liberian Lithuanian Lumbee Luxembourger Macedonian Malaysian Maltese Marshallese Menominee Mexican Mexican American Indian Mongolian Moroccan Native Hawaiian Navajo Nepalese New Zealander Nicaraguan Nigerian Northern European Norwegian Okinawan Osage Ottawa Paiute Pakistani Palestinian Panamanian Paraguayan Pennsylvania German Peruvian Pima Polish Portuguese Potawatomi Pueblo Puerto Rican Puget Sound Salish Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Seminole Senegalese Serbian Shoshone Sierra Leonean Sioux Slavic Slovak Slovene Somali South African South American South American Indian Soviet Union Spaniard Spanish Spanish American Spanish American Indian Sri Lankan Subsaharan African Sudanese Swedish Swiss Syrian Taiwanese Thai Tlingit-Haida Tohono O'Odham Tongan Trinidadian and Tobagonian Tsimshian Turkish U.S. Virgin Islander Ugandan Ukrainian Uruguayan Ute Venezuelan Vietnamese Welsh West Indian Yakama Yaqui Yugoslavian Yuman Yup'ik Zimbabwean

By Immigration

Nonimmigrants Immigrants Afghanistan Africa Albania Argentina Armenia Asia Australia Austria Bahamas Bangladesh Barbados Belarus Belgium Belize Bolivia Bosnia and Herzegovina Brazil Bulgaria Burma/Myanmar Cabo Verde Cambodia Cameroon Canada Caribbean Central America Chile China Colombia Congo Costa Rica Croatia Cuba Czechoslovakia Denmark Dominica Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Eritrea Ethiopia Europe Fiji France Germany Ghana Greece Grenada Guatemala Guyana Haiti Honduras Hong Kong Hungary India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Korea Kuwait Laos Latin America Latvia Lebanon Liberia Lithuania Malaysia Mexico Micronesia Middle Africa Moldova Morocco Nepal Netherlands Nicaragua Nigeria North America North Macedonia Northern Africa Northern Europe Norway Oceania Pakistan Panama Peru Philippines Poland Portugal Romania Russia Saudi Arabia Scotland Senegal Serbia Sierra Leone Singapore Somalia South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Sri Lanka St. Vincent and the Grenadines Sudan Sweden Switzerland Syria Taiwan Thailand Trinidad and Tobago Turkey Uganda Ukraine Uruguay Uzbekistan Venezuela Vietnam West Indies Western Africa Western Asia Western Europe Yemen Zaire Zimbabwe Azores

Social Comparison

By Social Index

By Income

Per Capita Income Family Income Household Income Earnings Earnings | Males Earnings | Females Household Income | Age < 25 Household Income | Age 25-44 Household Income | Age 45-64 Household Income | Age > 65 Wage/Income Gap

By Poverty

Poverty Poverty | Families Poverty | Males Poverty | Females Poverty | Females 18-24 Poverty | Females 25-34 Poverty | Children < 5 Poverty | Children < 16 Poverty | Boys < 16 Poverty | Girls < 16 Poverty | Single Males Poverty | Single Females Poverty | Single Fathers Poverty | Single Mothers Poverty | Married-Couple Families Poverty | Seniors > 65 Poverty | Seniors > 75 Public Income | Food Stamps

By Unemployment

Unemployment Unemployment | Males Unemployment | Females Unemployment | Youth < 25 Unemployment | 16 to 19 years Unemployment | 20 to 24 years Unemployment | 25 to 29 years Unemployment | 30 to 34 years Unemployment | 35 to 44 years Unemployment | 45 to 54 years Unemployment | 55 to 59 years Unemployment | 60 to 64 years Unemployment | 65 to 74 years Unemployment | Seniors > 65 Unemployment | Seniors > 75 Unemployment | Women w/ Children < 6 Unemployment | Women w/ Children 6 to 17 Unemployment | Women w/ Children < 18

By Labor Participation

In Labor Force | Age > 16 In Labor Force | Age 20-64 In Labor Force | Age 16-19 In Labor Force | Age 20-24 In Labor Force | Age 25-29 In Labor Force | Age 30-34 In Labor Force | Age 35-44 In Labor Force | Age 45-54

By Family Structure

Family Households Family Households with Children Married-couple Households Average Family Size Single Father Households Single Mother Households Currently Married Divorced or Separated Births to Unmarried Women

By Vehicle Availability

No Vehicles Available 1+ Vehicles Available 2+ Vehicles Available 3+ Vehicles Available 4+ Vehicles Available

By Education Level

No Schooling Nursery School Kindergarten 1st Grade 2nd Grade 3rd Grade 4th Grade 5th Grade 6th Grade 7th Grade 8th Grade 9th Grade 10th Grade 11th Grade 12th Grade, No Diploma High School Diploma GED/Equivalency College, Under 1 year College, 1 year or more Associate's Degree Bachelor's Degree Master's Degree Professional Degree Doctorate Degree

By Disability

Disability Disability | Males Disability | Females Disability | Age Under 5 Disability | Age 5 to 17 Disability | Age 18 to 34 Disability | Age 35 to 64 Disability | Age 65 to 74 Disability | Age Over 75 Vision Disability Hearing Disability Cognitive Disability Ambulatory Disability Self-Care Disability

Demographic Comparison

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

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 Basque Bhutanese British Burmese Central American Croatian Czech Danish Dutch Eastern European English European French French Canadian German Greek Guamanian / Chamorro Indian (Asian)Irish Israeli Italian Korean Mexican Norwegian Peruvian Polish Puerto Rican Salvadoran Samoan Scottish South American Sri Lankan Subsaharan African Swedish Swiss Thai Welsh

Ancestry (Percentage)

African American Basque Bhutanese British Burmese Central American Croatian Czech Danish Dutch Eastern European English European French French Canadian German Greek Guamanian / Chamorro Indian (Asian)Irish Israeli Italian Korean Mexican Norwegian Peruvian Polish Puerto Rican Salvadoran Samoan Scottish South American Sri Lankan Subsaharan African Swedish Swiss Thai Welsh

Immigrant Origin (Total)

Africa Asia Cameroon Canada Central America China Eastern Asia Europe Germany Italy Korea Latin America Middle Africa Philippines South Central Asia South Eastern Asia Southern Europe Western Europe

Immigrant Origin (Percentage)

Africa Asia Cameroon Canada Central America China Eastern Asia Europe Germany Italy Korea Latin America Middle Africa Philippines South Central Asia South Eastern Asia Southern Europe Western Europe

Economic Comparison

Income

Highest Per Capita Income Highest Earnings | Male Highest Earnings | Female Highest Wage/Income Gap ($)Highest Wage/Income Gap (%)Lowest Per Capita Income Lowest Earnings | Male Lowest Earnings | Female Lowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)

Poverty

Highest Poverty Highest Poverty | Male Highest Poverty | Seniors 65+Highest Poverty | Seniors 75+ Lowest Poverty Lowest Poverty | Male Lowest Poverty | Seniors 65+Lowest Poverty | Seniors 75+

Unemployment

Highest Unemployment Highest Unemployment | Male Highest Unemployment | Female Highest Unemployment | Youth < 25 Lowest Unemployment Lowest Unemployment | Male Lowest Unemployment | Female Lowest Unemployment | Youth < 25

Employment Occupations

Arts, Media & Entertainment Community & Social Service Computer & Mathematics Computer, Engineering & Science Education Instruction & Library Firefighting & Prevention Food Preparation & Serving Law Enforcement Management Material Moving Office & Administration Personal Care and Service Sales & Related Security & Protection Transportation

Employment Industries

Accommodation & Food Services Arts, Entertainment & Recreation Educational Services Health Care & Social Assistance Professional & Scientific Services Public Administration Retail Trade Transportation & Warehousing

Employer Class

Private Company Employees 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 | MaleShortest Commute | Female

Commute Means

Drive | Alone Drive | Carpool Taxi / Cab Walk to Work

Education Comparison

School Enrollment

In Private School College University

Education by Degree Field

Bio, Nature & Agricultural Psychology Engineering Liberal Arts and History

Zip Codes with the Shortest Median Commute Time to Work for Females in Moraga, CA

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Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Shortest Commute | Female

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

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 Basque Bhutanese British Burmese Central American Croatian Czech Danish Dutch Eastern European English European French French Canadian German Greek Guamanian / Chamorro Indian (Asian)Irish Israeli Italian Korean Mexican Norwegian Peruvian Polish Puerto Rican Salvadoran Samoan Scottish South American Sri Lankan Subsaharan African Swedish Swiss Thai Welsh

Ancestry (Percentage)

African American Basque Bhutanese British Burmese Central American Croatian Czech Danish Dutch Eastern European English European French French Canadian German Greek Guamanian / Chamorro Indian (Asian)Irish Israeli Italian Korean Mexican Norwegian Peruvian Polish Puerto Rican Salvadoran Samoan Scottish South American Sri Lankan Subsaharan African Swedish Swiss Thai Welsh

Immigrant Origin (Total)

Africa Asia Cameroon Canada Central America China Eastern Asia Europe Germany Italy Korea Latin America Middle Africa Philippines South Central Asia South Eastern Asia Southern Europe Western Europe

Immigrant Origin (Percentage)

Africa Asia Cameroon Canada Central America China Eastern Asia Europe Germany Italy Korea Latin America Middle Africa Philippines South Central Asia South Eastern Asia Southern Europe Western Europe

Income

Highest Per Capita Income Highest Earnings | Male Highest Earnings | Female Highest Wage/Income Gap ($)Highest Wage/Income Gap (%)Lowest Per Capita Income Lowest Earnings | Male Lowest Earnings | Female Lowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)

Poverty

Highest Poverty Highest Poverty | Male Highest Poverty | Seniors 65+Highest Poverty | Seniors 75+ Lowest Poverty Lowest Poverty | Male Lowest Poverty | Seniors 65+Lowest Poverty | Seniors 75+

Unemployment

Highest Unemployment Highest Unemployment | Male Highest Unemployment | Female Highest Unemployment | Youth < 25 Lowest Unemployment Lowest Unemployment | Male Lowest Unemployment | Female Lowest Unemployment | Youth < 25

Employment Occupations

Arts, Media & Entertainment Community & Social Service Computer & Mathematics Computer, Engineering & Science Education Instruction & Library Firefighting & Prevention Food Preparation & Serving Law Enforcement Management Material Moving Office & Administration Personal Care and Service Sales & Related Security & Protection Transportation

Employment Industries

Accommodation & Food Services Arts, Entertainment & Recreation Educational Services Health Care & Social Assistance Professional & Scientific Services Public Administration Retail Trade Transportation & Warehousing

Employer Class

Private Company Employees 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 | MaleShortest Commute | Female

Commute Means

Drive | Alone Drive | Carpool Taxi / Cab Walk to Work

School Enrollment

In Private School College University

Education by Degree Field

Bio, Nature & Agricultural Psychology Engineering Liberal Arts and History

Moraga

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 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 Edwards 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 Lemoore Livermore Lodi Lompoc Long Beach Los Altos Los Angeles Los Gatos Madera Malibu Manteca Menifee Merced Mission Viejo Modesto Monterey Monterey ParkMoragaMoreno 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 Rancho Santa Fe 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 Leandro San Luis Obispo San 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 Twentynine Palms 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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Comparison Subject

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Map of Zip Codes with the Shortest Median Commute Time to Work for Females in Moraga

00:30:18

00:21:53

Zip Codes with the Shortest Median Commute Time to Work for Females in Moraga Map

Zip Codes with the Shortest Median Commute Time to Work for Females in Moraga, CA

	Zip Code	Commute Time	vs State	vs National
1.	94575	00:21:53	00:27:00(-5.12)#405	00:24:50(-2.96)#11,169
2.	94556	00:30:18	00:27:00(+3.31)#1,190	00:24:50(+5.47)#24,797

1

Common Questions

What are the Top Zip Codes with the Shortest Median Commute Time to Work for Females in Moraga, CA?

Top Zip Codes with the Shortest Median Commute Time to Work for Females in Moraga, CA are:

#1

00:21:53

#2

00:30:18

What zip code has the Shortest Median Commute Time to Work for Females in Moraga, CA?

94575 has the Shortest Median Commute Time to Work for Females in Moraga, CA with 00:21:53.

What is the Median Commute Time to Work for Females in Moraga, CA?

Median Commute Time to Work for Females in Moraga is 00:29:33.

What is the Median Commute Time to Work for Females in California?

Median Commute Time to Work for Females in California is 00:27:00.

What is the Median Commute Time to Work for Females in the United States?

Median Commute Time to Work for Females in the United States is 00:24:50.