Asian vs Bangladeshi Community Comparison

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Asian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Asians

Bangladeshis

Excellent
Fair
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Asian Communities

The statistical analysis conducted on geographies consisting of 141,424,911 people shows no correlation between the proportion of Bangladeshis within Asian communities in the United States with a correlation coefficient (R) of -0.022. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.002% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 2.3 Bangladeshis.
Asian Integration in Bangladeshi Communities

Asian vs Bangladeshi Income

When considering income, the most significant differences between Asian and Bangladeshi communities in the United States are seen in per capita income ($50,057 compared to $35,897, a difference of 39.5%), householder income ages 25 - 44 years ($112,666 compared to $81,363, a difference of 38.5%), and median household income ($101,681 compared to $74,112, a difference of 37.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,003 compared to $47,589, a difference of 19.8%), wage/income gap (26.9% compared to 22.2%, a difference of 21.5%), and median female earnings ($44,586 compared to $35,960, a difference of 24.0%).
Asian vs Bangladeshi Income
Income MetricAsianBangladeshi
Per Capita Income
Exceptional
$50,057
Tragic
$35,897
Median Family Income
Exceptional
$119,955
Tragic
$88,358
Median Household Income
Exceptional
$101,681
Tragic
$74,112
Median Earnings
Exceptional
$53,690
Tragic
$41,263
Median Male Earnings
Exceptional
$63,827
Tragic
$46,744
Median Female Earnings
Exceptional
$44,586
Tragic
$35,960
Householder Age | Under 25 years
Exceptional
$57,003
Tragic
$47,589
Householder Age | 25 - 44 years
Exceptional
$112,666
Tragic
$81,363
Householder Age | 45 - 64 years
Exceptional
$118,426
Tragic
$86,402
Householder Age | Over 65 years
Exceptional
$68,822
Tragic
$54,719
Wage/Income Gap
Tragic
26.9%
Exceptional
22.2%

Asian vs Bangladeshi Poverty

When considering poverty, the most significant differences between Asian and Bangladeshi communities in the United States are seen in receiving food stamps (9.7% compared to 15.0%, a difference of 55.3%), child poverty among boys under 16 (13.5% compared to 20.0%, a difference of 48.2%), and child poverty under the age of 16 (13.5% compared to 19.9%, a difference of 47.8%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.0% compared to 12.0%, a difference of 0.28%), single father poverty (14.6% compared to 15.2%, a difference of 4.3%), and seniors poverty over the age of 65 (10.4% compared to 11.2%, a difference of 7.6%).
Asian vs Bangladeshi Poverty
Poverty MetricAsianBangladeshi
Poverty
Exceptional
11.0%
Tragic
14.8%
Families
Exceptional
7.7%
Tragic
10.9%
Males
Exceptional
10.0%
Tragic
13.6%
Females
Exceptional
11.9%
Tragic
16.0%
Females 18 to 24 years
Exceptional
18.2%
Tragic
22.5%
Females 25 to 34 years
Exceptional
11.4%
Tragic
15.9%
Children Under 5 years
Exceptional
14.0%
Tragic
20.6%
Children Under 16 years
Exceptional
13.5%
Tragic
19.9%
Boys Under 16 years
Exceptional
13.5%
Tragic
20.0%
Girls Under 16 years
Exceptional
13.7%
Tragic
20.0%
Single Males
Exceptional
11.2%
Tragic
13.3%
Single Females
Exceptional
18.3%
Tragic
24.2%
Single Fathers
Exceptional
14.6%
Exceptional
15.2%
Single Mothers
Exceptional
26.0%
Tragic
31.7%
Married Couples
Exceptional
4.7%
Tragic
6.0%
Seniors Over 65 years
Excellent
10.4%
Fair
11.2%
Seniors Over 75 years
Good
12.0%
Good
12.0%
Receiving Food Stamps
Exceptional
9.7%
Tragic
15.0%

Asian vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Asian and Bangladeshi communities in the United States are seen in unemployment among seniors over 75 years (8.3% compared to 9.6%, a difference of 16.4%), unemployment among women with children under 6 years (6.7% compared to 7.5%, a difference of 12.5%), and male unemployment (5.1% compared to 5.7%, a difference of 11.5%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.070%), unemployment among ages 16 to 19 years (16.9% compared to 16.9%, a difference of 0.26%), and female unemployment (5.2% compared to 5.2%, a difference of 1.1%).
Asian vs Bangladeshi Unemployment
Unemployment MetricAsianBangladeshi
Unemployment
Excellent
5.1%
Poor
5.4%
Males
Exceptional
5.1%
Tragic
5.7%
Females
Good
5.2%
Good
5.2%
Youth < 25
Good
11.4%
Average
11.6%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.9%
Age | 20 to 24 years
Good
10.2%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
6.3%
Average
6.6%
Age | 30 to 34 years
Exceptional
5.1%
Good
5.3%
Age | 35 to 44 years
Exceptional
4.4%
Fair
4.8%
Age | 45 to 54 years
Exceptional
4.3%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.7%
Age | 60 to 64 years
Average
4.9%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
5.3%
Good
5.3%
Seniors > 65
Excellent
5.1%
Fair
5.2%
Seniors > 75
Exceptional
8.3%
Tragic
9.6%
Women w/ Children < 6
Exceptional
6.7%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
5.1%
Good
5.3%

Asian vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Asian and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 42.5%, a difference of 24.6%), in labor force | age 20-24 (73.7% compared to 78.1%, a difference of 6.1%), and in labor force | age 45-54 (83.4% compared to 81.3%, a difference of 2.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 85.1%, a difference of 0.27%), in labor force | age > 16 (66.2% compared to 65.9%, a difference of 0.40%), and in labor force | age 35-44 (84.7% compared to 84.1%, a difference of 0.67%).
Asian vs Bangladeshi Labor Participation
Labor Participation MetricAsianBangladeshi
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
65.9%
In Labor Force | Age 20-64
Exceptional
80.2%
Poor
79.3%
In Labor Force | Age 16-19
Tragic
34.1%
Exceptional
42.5%
In Labor Force | Age 20-24
Tragic
73.7%
Exceptional
78.1%
In Labor Force | Age 25-29
Good
84.8%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.1%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
84.7%
Poor
84.1%
In Labor Force | Age 45-54
Exceptional
83.4%
Tragic
81.3%

Asian vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Asian and Bangladeshi communities in the United States are seen in single father households (2.1% compared to 3.1%, a difference of 46.3%), single mother households (5.6% compared to 8.1%, a difference of 45.6%), and births to unmarried women (26.8% compared to 34.4%, a difference of 28.5%). Conversely, both communities are more comparable in terms of average family size (3.28 compared to 3.37, a difference of 2.7%), family households (66.5% compared to 64.3%, a difference of 3.5%), and family households with children (29.1% compared to 30.1%, a difference of 3.6%).
Asian vs Bangladeshi Family Structure
Family Structure MetricAsianBangladeshi
Family Households
Exceptional
66.5%
Average
64.3%
Family Households with Children
Exceptional
29.1%
Exceptional
30.1%
Married-couple Households
Exceptional
49.5%
Tragic
43.5%
Average Family Size
Exceptional
3.28
Exceptional
3.37
Single Father Households
Exceptional
2.1%
Tragic
3.1%
Single Mother Households
Exceptional
5.6%
Tragic
8.1%
Currently Married
Exceptional
48.4%
Tragic
43.7%
Divorced or Separated
Exceptional
10.6%
Poor
12.3%
Births to Unmarried Women
Exceptional
26.8%
Tragic
34.4%

Asian vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Asian and Bangladeshi communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 7.6%, a difference of 7.7%), 3 or more vehicles in household (20.8% compared to 21.9%, a difference of 5.3%), and no vehicles in household (9.0% compared to 8.7%, a difference of 3.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 91.4%, a difference of 0.32%), 2 or more vehicles in household (57.0% compared to 58.4%, a difference of 2.5%), and no vehicles in household (9.0% compared to 8.7%, a difference of 3.6%).
Asian vs Bangladeshi Vehicle Availability
Vehicle Availability MetricAsianBangladeshi
No Vehicles Available
Exceptional
9.0%
Exceptional
8.7%
1+ Vehicles Available
Exceptional
91.1%
Exceptional
91.4%
2+ Vehicles Available
Exceptional
57.0%
Exceptional
58.4%
3+ Vehicles Available
Exceptional
20.8%
Exceptional
21.9%
4+ Vehicles Available
Exceptional
7.0%
Exceptional
7.6%

Asian vs Bangladeshi Education Level

When considering education level, the most significant differences between Asian and Bangladeshi communities in the United States are seen in doctorate degree (2.4% compared to 1.2%, a difference of 100.6%), professional degree (5.5% compared to 3.1%, a difference of 78.3%), and master's degree (18.4% compared to 10.5%, a difference of 76.0%). Conversely, both communities are more comparable in terms of 8th grade (95.2% compared to 94.3%, a difference of 1.0%), 6th grade (96.6% compared to 95.7%, a difference of 1.0%), and 7th grade (95.5% compared to 94.5%, a difference of 1.0%).
Asian vs Bangladeshi Education Level
Education Level MetricAsianBangladeshi
No Schooling Completed
Tragic
2.4%
Tragic
3.5%
Nursery School
Tragic
97.6%
Tragic
96.6%
Kindergarten
Tragic
97.6%
Tragic
96.6%
1st Grade
Tragic
97.6%
Tragic
96.5%
2nd Grade
Tragic
97.5%
Tragic
96.5%
3rd Grade
Tragic
97.4%
Tragic
96.3%
4th Grade
Tragic
97.1%
Tragic
96.1%
5th Grade
Tragic
96.9%
Tragic
95.9%
6th Grade
Tragic
96.6%
Tragic
95.7%
7th Grade
Tragic
95.5%
Tragic
94.5%
8th Grade
Tragic
95.2%
Tragic
94.3%
9th Grade
Tragic
94.5%
Tragic
93.4%
10th Grade
Fair
93.5%
Tragic
92.2%
11th Grade
Average
92.5%
Tragic
90.9%
12th Grade, No Diploma
Good
91.4%
Tragic
89.3%
High School Diploma
Good
89.4%
Tragic
86.9%
GED/Equivalency
Exceptional
86.7%
Tragic
83.1%
College, Under 1 year
Exceptional
69.4%
Tragic
61.4%
College, 1 year or more
Exceptional
64.2%
Tragic
54.5%
Associate's Degree
Exceptional
52.1%
Tragic
40.0%
Bachelor's Degree
Exceptional
44.4%
Tragic
30.2%
Master's Degree
Exceptional
18.4%
Tragic
10.5%
Professional Degree
Exceptional
5.5%
Tragic
3.1%
Doctorate Degree
Exceptional
2.4%
Tragic
1.2%

Asian vs Bangladeshi Disability

When considering disability, the most significant differences between Asian and Bangladeshi communities in the United States are seen in disability age 35 to 64 (9.4% compared to 13.6%, a difference of 45.2%), disability age 18 to 34 (5.8% compared to 7.4%, a difference of 26.4%), and disability age 65 to 74 (21.4% compared to 26.8%, a difference of 25.6%). Conversely, both communities are more comparable in terms of disability age over 75 (46.9% compared to 49.4%, a difference of 5.3%), cognitive disability (16.7% compared to 18.6%, a difference of 11.1%), and hearing disability (2.7% compared to 3.2%, a difference of 15.7%).
Asian vs Bangladeshi Disability
Disability MetricAsianBangladeshi
Disability
Exceptional
10.4%
Tragic
12.6%
Males
Exceptional
10.0%
Tragic
12.0%
Females
Exceptional
10.9%
Tragic
13.1%
Age | Under 5 years
Exceptional
1.1%
Poor
1.3%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
5.8%
Tragic
7.4%
Age | 35 to 64 years
Exceptional
9.4%
Tragic
13.6%
Age | 65 to 74 years
Exceptional
21.4%
Tragic
26.8%
Age | Over 75 years
Excellent
46.9%
Tragic
49.4%
Vision
Exceptional
1.9%
Tragic
2.3%
Hearing
Exceptional
2.7%
Tragic
3.2%
Cognitive
Exceptional
16.7%
Tragic
18.6%
Ambulatory
Exceptional
5.4%
Poor
6.3%
Self-Care
Exceptional
2.3%
Tragic
2.8%