Moroccan vs Lithuanian In Labor Force | Age 16-19

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Metric Comparison Correlation Chart Correlation Data Summary Similar Demographics Moroccans Lithuanians

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Moroccan

Race

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

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 Lumbee Luxembourger Macedonian Malaysian Maltese Marshallese Menominee Mexican Mexican American Indian MongolianMoroccanNative 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

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

Lithuanian

Race

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

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 LiberianLithuanianLumbee Luxembourger Macedonian Malaysian Maltese Marshallese Menominee Mexican Mexican American Indian Mongolian 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

Immigration

In Labor Force | Age 16-19

Social Comparison

Income

Per Capita Income Median Family Income Median Household Income Median Earnings Median Male Earnings Median Female Earnings Householder Income Under 25 years Householder Income Ages 25 - 44 years Householder Income Ages 45 - 64 years Householder Income Over 65 years Wage/Income Gap

Poverty

Poverty Family Poverty Male Poverty Female Poverty Female Poverty Among 18-24 Year Olds Female Poverty Among 25-34 Year Olds Child Poverty Under the Age of 5 Child Poverty Under the Age of 16 Child Poverty Among Boys Under 16 Child Poverty Among Girls Under 16 Single Male Poverty Single Female Poverty Single Father Poverty Single Mother Poverty Married-Couple Family Poverty Seniors Poverty Over the Age of 65 Seniors Poverty Over the Age of 75 Receiving Food Stamps

Unemployment

Labor Participation

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

Vehicle Availability

No Vehicles in Household 1 or more Vehicles in Household 2 or more Vehicles in Household 3 or more Vehicles in Household 4 or more Vehicles in Household

Education Level

No Schooling Completed 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

Disability

Disability Male Disability Female Disability 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

In Labor Force | Age 16-19 Comparison

Moroccans

Lithuanians

Poor

Exceptional

35.7%

IN LABOR FORCE | AGE 16-19

12.7/ 100

METRIC RATING

209th/ 347

METRIC RANK

40.4%

IN LABOR FORCE | AGE 16-19

100.0/ 100

METRIC RATING

57th/ 347

METRIC RANK

Moroccan vs Lithuanian In Labor Force | Age 16-19 Correlation Chart

The statistical analysis conducted on geographies consisting of 201,678,559 people shows a weak positive correlation between the proportion of Moroccans and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.265 and weighted average of 35.7%. Similarly, the statistical analysis conducted on geographies consisting of 420,922,487 people shows a moderate positive correlation between the proportion of Lithuanians and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.452 and weighted average of 40.4%, a difference of 13.3%.

In Labor Force | Age 16-19 Correlation Summary

Measurement	Moroccan	Lithuanian
Minimum	12.5%	15.0%
Maximum	75.8%	100.0%
Range	63.3%	85.0%
Mean	39.6%	52.1%
Median	36.4%	44.5%
Interquartile 25% (IQ1)	33.0%	39.3%
Interquartile 75% (IQ3)	42.9%	60.6%
Interquartile Range (IQR)	9.9%	21.2%
Standard Deviation (Sample)	14.1%	22.6%
Standard Deviation (Population)	13.8%	22.4%

Similar Demographics by In Labor Force | Age 16-19

Demographics Similar to Moroccans by In Labor Force | Age 16-19

In terms of in labor force | age 16-19, the demographic groups most similar to Moroccans are Korean (35.7%, a difference of 0.070%), Immigrants from Switzerland (35.6%, a difference of 0.10%), Mexican (35.6%, a difference of 0.10%), Immigrants from Eastern Europe (35.8%, a difference of 0.19%), and South American Indian (35.8%, a difference of 0.21%).

Demographics	Rating \| Rank	In Labor Force \| Age 16-19
Senegalese	17.4 /100 \| #202	Poor 35.9%
Immigrants \| Nigeria	16.8 /100 \| #203	Poor 35.8%
Immigrants \| Albania	15.0 /100 \| #204	Poor 35.8%
South American Indians	14.6 /100 \| #205	Poor 35.8%
Chileans	14.6 /100 \| #206	Poor 35.8%
Immigrants \| Eastern Europe	14.5 /100 \| #207	Poor 35.8%
Koreans	13.3 /100 \| #208	Poor 35.7%
Moroccans	12.7 /100 \| #209	Poor 35.7%
Immigrants \| Switzerland	11.9 /100 \| #210	Poor 35.6%
Mexicans	11.9 /100 \| #211	Poor 35.6%
Houma	11.0 /100 \| #212	Poor 35.6%
Immigrants \| Bolivia	11.0 /100 \| #213	Poor 35.6%
Apache	11.0 /100 \| #214	Poor 35.6%
Immigrants \| South Eastern Asia	10.8 /100 \| #215	Poor 35.6%
Dutch West Indians	10.7 /100 \| #216	Poor 35.6%

Demographics Similar to Lithuanians by In Labor Force | Age 16-19

In terms of in labor force | age 16-19, the demographic groups most similar to Lithuanians are Aleut (40.4%, a difference of 0.010%), Fijian (40.4%, a difference of 0.030%), British (40.5%, a difference of 0.11%), Tlingit-Haida (40.5%, a difference of 0.14%), and Slavic (40.4%, a difference of 0.15%).

Demographics	Rating \| Rank	In Labor Force \| Age 16-19
Indonesians	100.0 /100 \| #50	Exceptional 40.7%
Immigrants \| Zaire	100.0 /100 \| #51	Exceptional 40.7%
Immigrants \| Laos	100.0 /100 \| #52	Exceptional 40.6%
Immigrants \| Kenya	100.0 /100 \| #53	Exceptional 40.5%
Tlingit-Haida	100.0 /100 \| #54	Exceptional 40.5%
British	100.0 /100 \| #55	Exceptional 40.5%
Fijians	100.0 /100 \| #56	Exceptional 40.4%
Lithuanians	100.0 /100 \| #57	Exceptional 40.4%
Aleuts	100.0 /100 \| #58	Exceptional 40.4%
Slavs	100.0 /100 \| #59	Exceptional 40.4%
Immigrants \| Eastern Africa	100.0 /100 \| #60	Exceptional 40.4%
Americans	100.0 /100 \| #61	Exceptional 40.3%
Cherokee	100.0 /100 \| #62	Exceptional 40.2%
Northern Europeans	100.0 /100 \| #63	Exceptional 40.2%
Immigrants \| Micronesia	100.0 /100 \| #64	Exceptional 40.2%