White/Caucasian vs Bangladeshi Community Comparison

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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
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

Whites/Caucasians

Bangladeshis

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

Bangladeshi Integration in White/Caucasian Communities

The statistical analysis conducted on geographies consisting of 139,596,447 people shows no correlation between the proportion of Bangladeshis within White/Caucasian communities in the United States with a correlation coefficient (R) of -0.009. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is a decrease of 0.000% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to a decrease of 0.2 Bangladeshis.
White/Caucasian Integration in Bangladeshi Communities

White/Caucasian vs Bangladeshi Income

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

White/Caucasian vs Bangladeshi Poverty

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

White/Caucasian vs Bangladeshi Unemployment

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

White/Caucasian vs Bangladeshi Labor Participation

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

White/Caucasian vs Bangladeshi Family Structure

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

White/Caucasian vs Bangladeshi Vehicle Availability

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

White/Caucasian vs Bangladeshi Education Level

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

White/Caucasian vs Bangladeshi Disability

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