Moroccan vs Lithuanian In Labor Force | Age > 16

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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

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 Comparison

Moroccans

Lithuanians

Exceptional

Poor

66.1%

IN LABOR FORCE | AGE > 16

99.5/ 100

METRIC RATING

81st/ 347

METRIC RANK

64.8%

IN LABOR FORCE | AGE > 16

17.4/ 100

METRIC RATING

206th/ 347

METRIC RANK

Moroccan vs Lithuanian In Labor Force | Age > 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 201,807,372 people shows a substantial negative correlation between the proportion of Moroccans and labor force participation rate among population ages 16 and over in the United States with a correlation coefficient (R) of -0.563 and weighted average of 66.1%. Similarly, the statistical analysis conducted on geographies consisting of 421,961,459 people shows a moderate negative correlation between the proportion of Lithuanians and labor force participation rate among population ages 16 and over in the United States with a correlation coefficient (R) of -0.440 and weighted average of 64.8%, a difference of 1.9%.

In Labor Force | Age > 16 Correlation Summary

Measurement	Moroccan	Lithuanian
Minimum	37.1%	33.3%
Maximum	79.1%	76.6%
Range	42.0%	43.3%
Mean	63.1%	59.0%
Median	65.7%	61.2%
Interquartile 25% (IQ1)	57.4%	54.9%
Interquartile 75% (IQ3)	68.9%	64.8%
Interquartile Range (IQR)	11.5%	9.9%
Standard Deviation (Sample)	8.9%	9.4%
Standard Deviation (Population)	8.7%	9.4%

Similar Demographics by In Labor Force | Age > 16

Demographics Similar to Moroccans by In Labor Force | Age > 16

In terms of in labor force | age > 16, the demographic groups most similar to Moroccans are German Russian (66.1%, a difference of 0.010%), Immigrants from Jordan (66.1%, a difference of 0.010%), Central American (66.1%, a difference of 0.020%), Mongolian (66.1%, a difference of 0.030%), and Malaysian (66.1%, a difference of 0.050%).

Demographics	Rating \| Rank	In Labor Force \| Age > 16
Immigrants \| Korea	99.7 /100 \| #74	Exceptional 66.2%
Immigrants \| Singapore	99.7 /100 \| #75	Exceptional 66.2%
Immigrants \| Malaysia	99.6 /100 \| #76	Exceptional 66.1%
Immigrants \| Moldova	99.6 /100 \| #77	Exceptional 66.1%
Immigrants \| Asia	99.6 /100 \| #78	Exceptional 66.1%
Turks	99.6 /100 \| #79	Exceptional 66.1%
Malaysians	99.6 /100 \| #80	Exceptional 66.1%
Moroccans	99.5 /100 \| #81	Exceptional 66.1%
German Russians	99.4 /100 \| #82	Exceptional 66.1%
Immigrants \| Jordan	99.4 /100 \| #83	Exceptional 66.1%
Central Americans	99.4 /100 \| #84	Exceptional 66.1%
Mongolians	99.4 /100 \| #85	Exceptional 66.1%
South Americans	99.4 /100 \| #86	Exceptional 66.0%
South American Indians	99.4 /100 \| #87	Exceptional 66.0%
Bermudans	99.3 /100 \| #88	Exceptional 66.0%

Demographics Similar to Lithuanians by In Labor Force | Age > 16

In terms of in labor force | age > 16, the demographic groups most similar to Lithuanians are Immigrants from Latin America (64.8%, a difference of 0.020%), Belizean (64.8%, a difference of 0.020%), Russian (64.9%, a difference of 0.030%), Slovene (64.9%, a difference of 0.030%), and Jamaican (64.9%, a difference of 0.030%).

Demographics	Rating \| Rank	In Labor Force \| Age > 16
Mexican American Indians	23.1 /100 \| #199	Fair 64.9%
Armenians	20.2 /100 \| #200	Fair 64.9%
Ukrainians	19.6 /100 \| #201	Poor 64.9%
Immigrants \| Belgium	19.4 /100 \| #202	Poor 64.9%
Russians	18.8 /100 \| #203	Poor 64.9%
Slovenes	18.7 /100 \| #204	Poor 64.9%
Jamaicans	18.7 /100 \| #205	Poor 64.9%
Lithuanians	17.4 /100 \| #206	Poor 64.8%
Immigrants \| Latin America	16.4 /100 \| #207	Poor 64.8%
Belizeans	16.2 /100 \| #208	Poor 64.8%
Immigrants \| Trinidad and Tobago	15.6 /100 \| #209	Poor 64.8%
Immigrants \| Denmark	14.7 /100 \| #210	Poor 64.8%
Fijians	14.1 /100 \| #211	Poor 64.8%
Alaskan Athabascans	13.9 /100 \| #212	Poor 64.8%
Maltese	13.8 /100 \| #213	Poor 64.8%