Bangladeshi vs White/Caucasian 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
White/Caucasian
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

Whites/Caucasians

Fair
Average
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
5,140
SOCIAL INDEX
48.9/ 100
SOCIAL RATING
185th/ 347
SOCIAL RANK

White/Caucasian Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 141,454,225 people shows a moderate negative correlation between the proportion of Whites/Caucasians within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.403. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.516% in Whites/Caucasians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 516.2 Whites/Caucasians.
Bangladeshi Integration in White/Caucasian Communities

Bangladeshi vs White/Caucasian Income

When considering income, the most significant differences between Bangladeshi and White/Caucasian communities in the United States are seen in wage/income gap (22.2% compared to 28.5%, a difference of 28.6%), per capita income ($35,897 compared to $42,180, a difference of 17.5%), and median male earnings ($46,744 compared to $53,925, a difference of 15.4%). Conversely, both communities are more comparable in terms of median female earnings ($35,960 compared to $37,531, a difference of 4.4%), householder income under 25 years ($47,589 compared to $50,336, a difference of 5.8%), and householder income over 65 years ($54,719 compared to $58,847, a difference of 7.5%).
Bangladeshi vs White/Caucasian Income
Income MetricBangladeshiWhite/Caucasian
Per Capita Income
Tragic
$35,897
Poor
$42,180
Median Family Income
Tragic
$88,358
Poor
$99,800
Median Household Income
Tragic
$74,112
Poor
$82,029
Median Earnings
Tragic
$41,263
Poor
$45,197
Median Male Earnings
Tragic
$46,744
Fair
$53,925
Median Female Earnings
Tragic
$35,960
Tragic
$37,531
Householder Age | Under 25 years
Tragic
$47,589
Tragic
$50,336
Householder Age | 25 - 44 years
Tragic
$81,363
Poor
$91,668
Householder Age | 45 - 64 years
Tragic
$86,402
Fair
$98,091
Householder Age | Over 65 years
Tragic
$54,719
Tragic
$58,847
Wage/Income Gap
Exceptional
22.2%
Tragic
28.5%

Bangladeshi vs White/Caucasian Poverty

When considering poverty, the most significant differences between Bangladeshi and White/Caucasian communities in the United States are seen in receiving food stamps (15.0% compared to 11.1%, a difference of 36.0%), married-couple family poverty (6.0% compared to 4.8%, a difference of 24.6%), and family poverty (10.9% compared to 8.8%, a difference of 24.2%). Conversely, both communities are more comparable in terms of single mother poverty (31.7% compared to 31.2%, a difference of 1.7%), seniors poverty over the age of 75 (12.0% compared to 11.4%, a difference of 4.8%), and single female poverty (24.2% compared to 22.7%, a difference of 6.4%).
Bangladeshi vs White/Caucasian Poverty
Poverty MetricBangladeshiWhite/Caucasian
Poverty
Tragic
14.8%
Average
12.3%
Families
Tragic
10.9%
Good
8.8%
Males
Tragic
13.6%
Average
11.1%
Females
Tragic
16.0%
Average
13.4%
Females 18 to 24 years
Tragic
22.5%
Tragic
20.8%
Females 25 to 34 years
Tragic
15.9%
Tragic
14.7%
Children Under 5 years
Tragic
20.6%
Poor
18.1%
Children Under 16 years
Tragic
19.9%
Average
16.2%
Boys Under 16 years
Tragic
20.0%
Average
16.5%
Girls Under 16 years
Tragic
20.0%
Average
16.6%
Single Males
Tragic
13.3%
Tragic
14.5%
Single Females
Tragic
24.2%
Tragic
22.7%
Single Fathers
Exceptional
15.2%
Tragic
18.4%
Single Mothers
Tragic
31.7%
Tragic
31.2%
Married Couples
Tragic
6.0%
Exceptional
4.8%
Seniors Over 65 years
Fair
11.2%
Exceptional
10.0%
Seniors Over 75 years
Good
12.0%
Exceptional
11.4%
Receiving Food Stamps
Tragic
15.0%
Excellent
11.1%

Bangladeshi vs White/Caucasian Unemployment

When considering unemployment, the most significant differences between Bangladeshi and White/Caucasian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 9.6%, a difference of 31.1%), male unemployment (5.7% compared to 5.0%, a difference of 13.0%), and unemployment (5.4% compared to 4.9%, 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 0.080%), unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 0.31%), and unemployment among ages 16 to 19 years (16.9% compared to 16.8%, a difference of 0.66%).
Bangladeshi vs White/Caucasian Unemployment
Unemployment MetricBangladeshiWhite/Caucasian
Unemployment
Poor
5.4%
Exceptional
4.9%
Males
Tragic
5.7%
Exceptional
5.0%
Females
Good
5.2%
Exceptional
4.9%
Youth < 25
Average
11.6%
Exceptional
11.2%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.8%
Age | 20 to 24 years
Exceptional
10.0%
Excellent
10.1%
Age | 25 to 29 years
Average
6.6%
Poor
6.9%
Age | 30 to 34 years
Good
5.3%
Tragic
5.7%
Age | 35 to 44 years
Fair
4.8%
Good
4.6%
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%
Exceptional
4.7%
Age | 65 to 74 years
Good
5.3%
Average
5.4%
Seniors > 65
Fair
5.2%
Excellent
5.1%
Seniors > 75
Tragic
9.6%
Tragic
10.1%
Women w/ Children < 6
Good
7.5%
Tragic
8.4%
Women w/ Children 6 to 17
Exceptional
7.4%
Tragic
9.6%
Women w/ Children < 18
Good
5.3%
Excellent
5.3%

Bangladeshi vs White/Caucasian Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and White/Caucasian communities in the United States are seen in in labor force | age > 16 (65.9% compared to 63.6%, a difference of 3.7%), in labor force | age 16-19 (42.5% compared to 41.3%, a difference of 2.8%), and in labor force | age 20-24 (78.1% compared to 76.9%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.3% compared to 83.9%, a difference of 0.54%), in labor force | age 35-44 (84.1% compared to 83.6%, a difference of 0.57%), and in labor force | age 45-54 (81.3% compared to 81.9%, a difference of 0.65%).
Bangladeshi vs White/Caucasian Labor Participation
Labor Participation MetricBangladeshiWhite/Caucasian
In Labor Force | Age > 16
Exceptional
65.9%
Tragic
63.6%
In Labor Force | Age 20-64
Poor
79.3%
Tragic
78.5%
In Labor Force | Age 16-19
Exceptional
42.5%
Exceptional
41.3%
In Labor Force | Age 20-24
Exceptional
78.1%
Exceptional
76.9%
In Labor Force | Age 25-29
Exceptional
85.1%
Tragic
84.2%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
83.9%
In Labor Force | Age 35-44
Poor
84.1%
Tragic
83.6%
In Labor Force | Age 45-54
Tragic
81.3%
Tragic
81.9%

Bangladeshi vs White/Caucasian Family Structure

When considering family structure, the most significant differences between Bangladeshi and White/Caucasian communities in the United States are seen in single mother households (8.1% compared to 6.1%, a difference of 33.3%), single father households (3.1% compared to 2.4%, a difference of 28.5%), and married-couple households (43.5% compared to 48.6%, a difference of 11.7%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 65.1%, a difference of 1.3%), divorced or separated (12.3% compared to 12.6%, a difference of 2.8%), and births to unmarried women (34.4% compared to 33.3%, a difference of 3.5%).
Bangladeshi vs White/Caucasian Family Structure
Family Structure MetricBangladeshiWhite/Caucasian
Family Households
Average
64.3%
Exceptional
65.1%
Family Households with Children
Exceptional
30.1%
Average
27.4%
Married-couple Households
Tragic
43.5%
Exceptional
48.6%
Average Family Size
Exceptional
3.37
Tragic
3.14
Single Father Households
Tragic
3.1%
Fair
2.4%
Single Mother Households
Tragic
8.1%
Good
6.1%
Currently Married
Tragic
43.7%
Exceptional
48.6%
Divorced or Separated
Poor
12.3%
Tragic
12.6%
Births to Unmarried Women
Tragic
34.4%
Poor
33.3%

Bangladeshi vs White/Caucasian Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and White/Caucasian communities in the United States are seen in no vehicles in household (8.7% compared to 7.0%, a difference of 23.2%), 2 or more vehicles in household (58.4% compared to 60.8%, a difference of 4.1%), and 3 or more vehicles in household (21.9% compared to 22.6%, a difference of 3.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 93.1%, a difference of 1.9%), 4 or more vehicles in household (7.6% compared to 7.4%, a difference of 2.5%), and 3 or more vehicles in household (21.9% compared to 22.6%, a difference of 3.3%).
Bangladeshi vs White/Caucasian Vehicle Availability
Vehicle Availability MetricBangladeshiWhite/Caucasian
No Vehicles Available
Exceptional
8.7%
Exceptional
7.0%
1+ Vehicles Available
Exceptional
91.4%
Exceptional
93.1%
2+ Vehicles Available
Exceptional
58.4%
Exceptional
60.8%
3+ Vehicles Available
Exceptional
21.9%
Exceptional
22.6%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
7.4%

Bangladeshi vs White/Caucasian Education Level

When considering education level, the most significant differences between Bangladeshi and White/Caucasian communities in the United States are seen in no schooling completed (3.5% compared to 1.6%, a difference of 117.2%), doctorate degree (1.2% compared to 1.8%, a difference of 45.0%), and master's degree (10.5% compared to 13.8%, a difference of 31.9%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.5%, a difference of 1.9%), kindergarten (96.6% compared to 98.4%, a difference of 1.9%), and 1st grade (96.5% compared to 98.4%, a difference of 1.9%).
Bangladeshi vs White/Caucasian Education Level
Education Level MetricBangladeshiWhite/Caucasian
No Schooling Completed
Tragic
3.5%
Exceptional
1.6%
Nursery School
Tragic
96.6%
Exceptional
98.5%
Kindergarten
Tragic
96.6%
Exceptional
98.4%
1st Grade
Tragic
96.5%
Exceptional
98.4%
2nd Grade
Tragic
96.5%
Exceptional
98.4%
3rd Grade
Tragic
96.3%
Exceptional
98.3%
4th Grade
Tragic
96.1%
Exceptional
98.1%
5th Grade
Tragic
95.9%
Exceptional
97.9%
6th Grade
Tragic
95.7%
Exceptional
97.7%
7th Grade
Tragic
94.5%
Exceptional
97.0%
8th Grade
Tragic
94.3%
Exceptional
96.7%
9th Grade
Tragic
93.4%
Exceptional
95.8%
10th Grade
Tragic
92.2%
Exceptional
94.7%
11th Grade
Tragic
90.9%
Exceptional
93.3%
12th Grade, No Diploma
Tragic
89.3%
Exceptional
91.8%
High School Diploma
Tragic
86.9%
Exceptional
90.1%
GED/Equivalency
Tragic
83.1%
Good
86.2%
College, Under 1 year
Tragic
61.4%
Poor
64.0%
College, 1 year or more
Tragic
54.5%
Tragic
57.6%
Associate's Degree
Tragic
40.0%
Tragic
44.2%
Bachelor's Degree
Tragic
30.2%
Tragic
35.3%
Master's Degree
Tragic
10.5%
Tragic
13.8%
Professional Degree
Tragic
3.1%
Poor
4.1%
Doctorate Degree
Tragic
1.2%
Fair
1.8%

Bangladeshi vs White/Caucasian Disability

When considering disability, the most significant differences between Bangladeshi and White/Caucasian communities in the United States are seen in disability age under 5 (1.3% compared to 1.7%, a difference of 29.0%), hearing disability (3.2% compared to 3.7%, a difference of 16.4%), and disability age 65 to 74 (26.8% compared to 24.2%, a difference of 10.7%). Conversely, both communities are more comparable in terms of female disability (13.1% compared to 13.2%, a difference of 0.68%), vision disability (2.3% compared to 2.4%, a difference of 1.3%), and disability (12.6% compared to 13.0%, a difference of 3.6%).
Bangladeshi vs White/Caucasian Disability
Disability MetricBangladeshiWhite/Caucasian
Disability
Tragic
12.6%
Tragic
13.0%
Males
Tragic
12.0%
Tragic
12.8%
Females
Tragic
13.1%
Tragic
13.2%
Age | Under 5 years
Poor
1.3%
Tragic
1.7%
Age | 5 to 17 years
Tragic
5.8%
Tragic
6.2%
Age | 18 to 34 years
Tragic
7.4%
Tragic
7.6%
Age | 35 to 64 years
Tragic
13.6%
Tragic
12.6%
Age | 65 to 74 years
Tragic
26.8%
Tragic
24.2%
Age | Over 75 years
Tragic
49.4%
Average
47.3%
Vision
Tragic
2.3%
Tragic
2.4%
Hearing
Tragic
3.2%
Tragic
3.7%
Cognitive
Tragic
18.6%
Exceptional
17.0%
Ambulatory
Poor
6.3%
Tragic
6.7%
Self-Care
Tragic
2.8%
Tragic
2.6%