Zip Codes with the Highest Percentage of Lithuanian Population in Pomona, CA

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Lithuanian

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)

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 Barbadian Basque Belizean Bhutanese Bolivian Brazilian British Burmese Cajun Canadian Central American Central American Indian Cherokee Colombian Costa Rican Cuban Czech Danish Dutch Eastern European Ecuadorian Egyptian English European Filipino Finnish French French Canadian German Greek Guamanian / Chamorro Guatemalan Honduran Hopi Hungarian Indian (Asian)Iranian Irish Israeli Italian Jamaican Japanese Kenyan Korean Laotian Lebanese Lithuanian Malaysian Mexican Mexican American Indian Native Hawaiian Navajo Nicaraguan Nigerian Northern European Norwegian Pakistani Panamanian Peruvian Polish Portuguese Pueblo Puerto Rican Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Slavic Slovak South American Spaniard Spanish Spanish American Indian Sri Lankan Subsaharan African Swedish Swiss Thai Tohono O'Odham Ukrainian Vietnamese Welsh Yaqui

Ancestry (Percentage)

African American Apache Arab Argentinean Armenian Barbadian Basque Belizean Bhutanese Bolivian Brazilian British Burmese Cajun Canadian Central American Central American Indian Cherokee Colombian Costa Rican Cuban Czech Danish Dutch Eastern European Ecuadorian Egyptian English European Filipino Finnish French French Canadian German Greek Guamanian / Chamorro Guatemalan Honduran Hopi Hungarian Indian (Asian)Iranian Irish Israeli Italian Jamaican Japanese Kenyan Korean Laotian LebaneseLithuanianMalaysian Mexican Mexican American Indian Native Hawaiian Navajo Nicaraguan Nigerian Northern European Norwegian Pakistani Panamanian Peruvian Polish Portuguese Pueblo Puerto Rican Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Slavic Slovak South American Spaniard Spanish Spanish American Indian Sri Lankan Subsaharan African Swedish Swiss Thai Tohono O'Odham Ukrainian Vietnamese Welsh Yaqui

Immigrant Origin (Total)

Africa Argentina Armenia Asia Belize Brazil Burma / Myanmar Cambodia Canada Caribbean Central America Chile China Colombia Costa Rica Cuba Czechoslovakia Eastern Africa Eastern Asia Eastern Europe Egypt El Salvador England Europe Fiji Germany Guatemala Honduras Hong Kong India Indonesia Iran Israel Jamaica Japan Kenya Korea Laos Latin America Malaysia Mexico Netherlands Nicaragua Nigeria Northern Africa Northern Europe Oceania Pakistan Peru Philippines Romania Russia Singapore South America South Central Asia South Eastern Asia Southern Europe Sri Lanka Sweden Switzerland Syria Taiwan Thailand 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 Services Finance & Insurance Health Care & Social Assistance Information & Technology Manufacturing Mining, Quarrying, & Extraction 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

Pomona

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 Anaheim Antioch Apple Valley Auburn Bakersfield Berkeley Beverly Hills Buena Park Burbank Camarillo Canyon Country Carlsbad Castro Valley Chico Chula Vista Clovis Concord Corona Costa Mesa Culver City Davis El Cajon Elk Grove Encino Escondido Fairfield Fontana Fremont Fresno Fullerton Garden Grove Glendale Glendora Grass Valley Hayward Hemet Hesperia Huntington Beach Indio Irvine La Mesa Lake Elsinore Lancaster Livermore Long Beach Los Altos Los Angeles Los Gatos Madera Malibu Menifee Mission Viejo Monterey Mountain View Murrieta Napa Newport Beach North Hollywood Northridge Novato Oakland Oceanside Ontario Orange Oxnard Palm Desert Palm Springs Palmdale Palo Alto Pasadena Petaluma PleasantonPomonaRancho Cordova Rancho Cucamonga Redding Redondo Beach Redwood City Richmond Riverside Rocklin Roseville Sacramento Salinas San Bernardino San Clemente San Diego San Francisco San Jacinto San Jose San Leandro San Luis Obispo San Marcos San Mateo San Rafael San Ramon Santa Ana Santa Barbara Santa Clara Santa Clarita Santa Cruz Santa Maria Santa Monica Santa Rosa Sherman Oaks Simi Valley Stockton Sunnyvale Temecula Thousand Oaks Torrance Turlock Tustin Upland Vacaville Valencia Vallejo Van Nuys Ventura Victorville Visalia Vista Walnut Creek Whittier Woodland Hills Yorba Linda

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Map of Zip Codes with the Highest Percentage of Lithuanian Population in Pomona

0.00%

0.040%

Zip Codes with the Highest Percentage of Lithuanian Population in Pomona Map

Zip Codes with the Highest Percentage of Lithuanian Population in Pomona, CA

	Zip Code	Lithuanian	vs State	vs National
1.	91767	0.039%	0.11%(-0.075)#692	0.19%(-0.146)#10,410
2.	91766	0.013%	0.11%(-0.101)#828	0.19%(-0.172)#11,188

Common Questions

What are the Top Zip Codes with the Highest Percentage of Lithuanian Population in Pomona, CA?

Top Zip Codes with the Highest Percentage of Lithuanian Population in Pomona, CA are:

91767

0.039%

91766

0.013%

91768

0.00%

What zip code has the Highest Percentage of Lithuanian Population in Pomona, CA?

91767 has the Highest Percentage of Lithuanian Population in Pomona, CA with 0.039%.

What is the Percentage of Lithuanian Population in Pomona, CA?

Percentage of Lithuanian Population in Pomona is 0.019%.

What is the Percentage of Lithuanian Population in California?

Percentage of Lithuanian Population in California is 0.11%.

What is the Percentage of Lithuanian Population in the United States?

Percentage of Lithuanian Population in the United States is 0.19%.