Bangladeshi vs Asian Community Comparison

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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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Bangladeshis

Asians

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

Asian Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 141,425,756 people shows a near-perfect positive correlation between the proportion of Asians within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.930. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.906% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 906.5 Asians.
Bangladeshi Integration in Asian Communities

Bangladeshi vs Asian Income

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

Bangladeshi vs Asian Poverty

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

Bangladeshi vs Asian Unemployment

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

Bangladeshi vs Asian Labor Participation

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

Bangladeshi vs Asian Family Structure

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

Bangladeshi vs Asian Vehicle Availability

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

Bangladeshi vs Asian Education Level

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

Bangladeshi vs Asian Disability

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