Chinese vs Bangladeshi Unemployment Among Ages 30 to 34 years

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Metric Comparison Correlation Chart Correlation Data Summary Similar Demographics Chinese Bangladeshis

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Chinese

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 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 ChileanChineseChippewa 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

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

Bangladeshi

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 BahamianBangladeshiBarbadian 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 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

Immigration

Unemployment Among Ages 30 to 34 years

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

Unemployment Among Ages 30 to 34 years Comparison

Chinese

Bangladeshis

Exceptional

Good

5.1%

UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS

97.7/ 100

METRIC RATING

55th/ 347

METRIC RANK

5.3%

UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS

76.6/ 100

METRIC RATING

134th/ 347

METRIC RANK

Chinese vs Bangladeshi Unemployment Among Ages 30 to 34 years Correlation Chart

The statistical analysis conducted on geographies consisting of 64,021,968 people shows a moderate positive correlation between the proportion of Chinese and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.496 and weighted average of 5.1%. Similarly, the statistical analysis conducted on geographies consisting of 137,750,600 people shows a poor negative correlation between the proportion of Bangladeshis and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of -0.144 and weighted average of 5.3%, a difference of 4.7%.

Unemployment Among Ages 30 to 34 years Correlation Summary

Measurement	Chinese	Bangladeshi
Minimum	1.5%	1.2%
Maximum	22.6%	14.2%
Range	21.1%	13.0%
Mean	6.0%	6.0%
Median	5.1%	5.3%
Interquartile 25% (IQ1)	3.8%	4.2%
Interquartile 75% (IQ3)	7.0%	7.4%
Interquartile Range (IQR)	3.2%	3.2%
Standard Deviation (Sample)	3.8%	2.8%
Standard Deviation (Population)	3.8%	2.8%

Similar Demographics by Unemployment Among Ages 30 to 34 years

Demographics Similar to Chinese by Unemployment Among Ages 30 to 34 years

In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Chinese are Immigrants from Serbia (5.1%, a difference of 0.19%), Immigrants from Morocco (5.1%, a difference of 0.20%), Immigrants from China (5.1%, a difference of 0.33%), Asian (5.1%, a difference of 0.34%), and Cuban (5.1%, a difference of 0.38%).

Demographics	Rating \| Rank	Unemployment Among Ages 30 to 34 years
Assyrians/Chaldeans/Syriacs	98.4 /100 \| #48	Exceptional 5.1%
Immigrants \| Malaysia	98.3 /100 \| #49	Exceptional 5.1%
Puget Sound Salish	98.2 /100 \| #50	Exceptional 5.1%
Turks	98.2 /100 \| #51	Exceptional 5.1%
Immigrants \| Burma/Myanmar	98.1 /100 \| #52	Exceptional 5.1%
Cubans	98.1 /100 \| #53	Exceptional 5.1%
Immigrants \| Morocco	97.9 /100 \| #54	Exceptional 5.1%
Chinese	97.7 /100 \| #55	Exceptional 5.1%
Immigrants \| Serbia	97.4 /100 \| #56	Exceptional 5.1%
Immigrants \| China	97.2 /100 \| #57	Exceptional 5.1%
Asians	97.2 /100 \| #58	Exceptional 5.1%
Swedes	97.1 /100 \| #59	Exceptional 5.1%
Immigrants \| Somalia	97.1 /100 \| #60	Exceptional 5.1%
Indians (Asian)	97.0 /100 \| #61	Exceptional 5.1%
Immigrants \| France	97.0 /100 \| #62	Exceptional 5.1%

Demographics Similar to Bangladeshis by Unemployment Among Ages 30 to 34 years

In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Bangladeshis are Carpatho Rusyn (5.3%, a difference of 0.070%), Immigrants from Northern Europe (5.3%, a difference of 0.070%), Immigrants from Eastern Europe (5.3%, a difference of 0.080%), German (5.3%, a difference of 0.12%), and Palestinian (5.4%, a difference of 0.14%).

Demographics	Rating \| Rank	Unemployment Among Ages 30 to 34 years
Taiwanese	79.4 /100 \| #127	Good 5.3%
Immigrants \| Uruguay	79.3 /100 \| #128	Good 5.3%
Poles	78.8 /100 \| #129	Good 5.3%
Germans	77.8 /100 \| #130	Good 5.3%
Immigrants \| Eastern Europe	77.4 /100 \| #131	Good 5.3%
Carpatho Rusyns	77.3 /100 \| #132	Good 5.3%
Immigrants \| Northern Europe	77.3 /100 \| #133	Good 5.3%
Bangladeshis	76.6 /100 \| #134	Good 5.3%
Palestinians	75.1 /100 \| #135	Good 5.4%
Pakistanis	74.6 /100 \| #136	Good 5.4%
Immigrants \| Canada	74.6 /100 \| #137	Good 5.4%
Serbians	72.9 /100 \| #138	Good 5.4%
Lithuanians	72.4 /100 \| #139	Good 5.4%
Immigrants \| North America	72.2 /100 \| #140	Good 5.4%
Immigrants \| Europe	72.1 /100 \| #141	Good 5.4%