Brazilian vs Bangladeshi Community Comparison

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Brazilian
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/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBritishBritish 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

Brazilians

Bangladeshis

Good
Fair
6,919
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
136th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Brazilian Communities

The statistical analysis conducted on geographies consisting of 113,063,843 people shows a poor negative correlation between the proportion of Bangladeshis within Brazilian communities in the United States with a correlation coefficient (R) of -0.117. On average, for every 1% (one percent) increase in Brazilians within a typical geography, there is a decrease of 0.015% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Brazilians corresponds to a decrease of 14.7 Bangladeshis.
Brazilian Integration in Bangladeshi Communities

Brazilian vs Bangladeshi Income

When considering income, the most significant differences between Brazilian and Bangladeshi communities in the United States are seen in per capita income ($46,700 compared to $35,897, a difference of 30.1%), median male earnings ($56,837 compared to $46,744, a difference of 21.6%), and median family income ($106,942 compared to $88,358, a difference of 21.0%). Conversely, both communities are more comparable in terms of householder income over 65 years ($61,465 compared to $54,719, a difference of 12.3%), median female earnings ($40,483 compared to $35,960, a difference of 12.6%), and householder income under 25 years ($54,335 compared to $47,589, a difference of 14.2%).
Brazilian vs Bangladeshi Income
Income MetricBrazilianBangladeshi
Per Capita Income
Exceptional
$46,700
Tragic
$35,897
Median Family Income
Excellent
$106,942
Tragic
$88,358
Median Household Income
Exceptional
$88,934
Tragic
$74,112
Median Earnings
Exceptional
$48,356
Tragic
$41,263
Median Male Earnings
Exceptional
$56,837
Tragic
$46,744
Median Female Earnings
Excellent
$40,483
Tragic
$35,960
Householder Age | Under 25 years
Exceptional
$54,335
Tragic
$47,589
Householder Age | 25 - 44 years
Excellent
$98,267
Tragic
$81,363
Householder Age | 45 - 64 years
Excellent
$104,408
Tragic
$86,402
Householder Age | Over 65 years
Good
$61,465
Tragic
$54,719
Wage/Income Gap
Tragic
26.7%
Exceptional
22.2%

Brazilian vs Bangladeshi Poverty

When considering poverty, the most significant differences between Brazilian and Bangladeshi communities in the United States are seen in receiving food stamps (11.1% compared to 15.0%, a difference of 35.8%), child poverty among girls under 16 (15.4% compared to 20.0%, a difference of 29.4%), and child poverty under the age of 16 (15.4% compared to 19.9%, a difference of 28.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.3% compared to 11.2%, a difference of 1.3%), single father poverty (15.5% compared to 15.2%, a difference of 1.8%), and seniors poverty over the age of 75 (12.8% compared to 12.0%, a difference of 7.2%).
Brazilian vs Bangladeshi Poverty
Poverty MetricBrazilianBangladeshi
Poverty
Good
11.9%
Tragic
14.8%
Families
Excellent
8.6%
Tragic
10.9%
Males
Excellent
10.8%
Tragic
13.6%
Females
Excellent
13.0%
Tragic
16.0%
Females 18 to 24 years
Exceptional
18.6%
Tragic
22.5%
Females 25 to 34 years
Excellent
13.1%
Tragic
15.9%
Children Under 5 years
Excellent
16.4%
Tragic
20.6%
Children Under 16 years
Excellent
15.4%
Tragic
19.9%
Boys Under 16 years
Excellent
15.8%
Tragic
20.0%
Girls Under 16 years
Excellent
15.4%
Tragic
20.0%
Single Males
Exceptional
11.8%
Tragic
13.3%
Single Females
Exceptional
20.1%
Tragic
24.2%
Single Fathers
Exceptional
15.5%
Exceptional
15.2%
Single Mothers
Exceptional
28.3%
Tragic
31.7%
Married Couples
Good
5.0%
Tragic
6.0%
Seniors Over 65 years
Poor
11.3%
Fair
11.2%
Seniors Over 75 years
Tragic
12.8%
Good
12.0%
Receiving Food Stamps
Excellent
11.1%
Tragic
15.0%

Brazilian vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Brazilian and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.1% compared to 7.4%, a difference of 23.4%), unemployment among women with children under 18 years (5.8% compared to 5.3%, a difference of 9.3%), and male unemployment (5.2% compared to 5.7%, a difference of 9.2%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.5% compared to 11.6%, a difference of 0.77%), unemployment among ages 16 to 19 years (17.1% compared to 16.9%, a difference of 0.79%), and unemployment among ages 35 to 44 years (4.7% compared to 4.8%, a difference of 0.92%).
Brazilian vs Bangladeshi Unemployment
Unemployment MetricBrazilianBangladeshi
Unemployment
Average
5.3%
Poor
5.4%
Males
Good
5.2%
Tragic
5.7%
Females
Tragic
5.5%
Good
5.2%
Youth < 25
Good
11.5%
Average
11.6%
Age | 16 to 19 years
Exceptional
17.1%
Exceptional
16.9%
Age | 20 to 24 years
Good
10.2%
Exceptional
10.0%
Age | 25 to 29 years
Excellent
6.5%
Average
6.6%
Age | 30 to 34 years
Average
5.4%
Good
5.3%
Age | 35 to 44 years
Fair
4.7%
Fair
4.8%
Age | 45 to 54 years
Fair
4.6%
Average
4.5%
Age | 55 to 59 years
Tragic
5.0%
Exceptional
4.7%
Age | 60 to 64 years
Poor
5.0%
Exceptional
4.6%
Age | 65 to 74 years
Tragic
5.6%
Good
5.3%
Seniors > 65
Tragic
5.5%
Fair
5.2%
Seniors > 75
Tragic
9.3%
Tragic
9.6%
Women w/ Children < 6
Average
7.7%
Good
7.5%
Women w/ Children 6 to 17
Fair
9.1%
Exceptional
7.4%
Women w/ Children < 18
Tragic
5.8%
Good
5.3%

Brazilian vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Brazilian and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 42.5%, a difference of 13.2%), in labor force | age 20-24 (75.8% compared to 78.1%, a difference of 3.1%), and in labor force | age 45-54 (83.7% compared to 81.3%, a difference of 2.9%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.3% compared to 85.1%, a difference of 0.24%), in labor force | age > 16 (66.6% compared to 65.9%, a difference of 1.0%), and in labor force | age 35-44 (85.0% compared to 84.1%, a difference of 1.1%).
Brazilian vs Bangladeshi Labor Participation
Labor Participation MetricBrazilianBangladeshi
In Labor Force | Age > 16
Exceptional
66.6%
Exceptional
65.9%
In Labor Force | Age 20-64
Exceptional
80.5%
Poor
79.3%
In Labor Force | Age 16-19
Excellent
37.5%
Exceptional
42.5%
In Labor Force | Age 20-24
Exceptional
75.8%
Exceptional
78.1%
In Labor Force | Age 25-29
Exceptional
85.3%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.4%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
85.0%
Poor
84.1%
In Labor Force | Age 45-54
Exceptional
83.7%
Tragic
81.3%

Brazilian vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Brazilian and Bangladeshi communities in the United States are seen in single father households (2.2% compared to 3.1%, a difference of 37.8%), single mother households (6.2% compared to 8.1%, a difference of 30.3%), and births to unmarried women (30.4% compared to 34.4%, a difference of 13.3%). Conversely, both communities are more comparable in terms of family households (63.9% compared to 64.3%, a difference of 0.58%), divorced or separated (12.1% compared to 12.3%, a difference of 1.8%), and average family size (3.18 compared to 3.37, a difference of 5.8%).
Brazilian vs Bangladeshi Family Structure
Family Structure MetricBrazilianBangladeshi
Family Households
Poor
63.9%
Average
64.3%
Family Households with Children
Good
27.7%
Exceptional
30.1%
Married-couple Households
Fair
46.2%
Tragic
43.5%
Average Family Size
Tragic
3.18
Exceptional
3.37
Single Father Households
Exceptional
2.2%
Tragic
3.1%
Single Mother Households
Average
6.2%
Tragic
8.1%
Currently Married
Fair
46.4%
Tragic
43.7%
Divorced or Separated
Average
12.1%
Poor
12.3%
Births to Unmarried Women
Excellent
30.4%
Tragic
34.4%

Brazilian vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Brazilian and Bangladeshi communities in the United States are seen in 4 or more vehicles in household (5.4% compared to 7.6%, a difference of 40.5%), 3 or more vehicles in household (17.4% compared to 21.9%, a difference of 25.5%), and no vehicles in household (10.4% compared to 8.7%, a difference of 19.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 91.4%, a difference of 1.5%), 2 or more vehicles in household (53.8% compared to 58.4%, a difference of 8.7%), and no vehicles in household (10.4% compared to 8.7%, a difference of 19.8%).
Brazilian vs Bangladeshi Vehicle Availability
Vehicle Availability MetricBrazilianBangladeshi
No Vehicles Available
Average
10.4%
Exceptional
8.7%
1+ Vehicles Available
Good
90.0%
Exceptional
91.4%
2+ Vehicles Available
Tragic
53.8%
Exceptional
58.4%
3+ Vehicles Available
Tragic
17.4%
Exceptional
21.9%
4+ Vehicles Available
Tragic
5.4%
Exceptional
7.6%

Brazilian vs Bangladeshi Education Level

When considering education level, the most significant differences between Brazilian and Bangladeshi communities in the United States are seen in no schooling completed (2.1% compared to 3.5%, a difference of 71.8%), doctorate degree (2.1% compared to 1.2%, a difference of 71.5%), and professional degree (5.0% compared to 3.1%, a difference of 61.5%). Conversely, both communities are more comparable in terms of 6th grade (96.9% compared to 95.7%, a difference of 1.3%), 5th grade (97.2% compared to 95.9%, a difference of 1.4%), and kindergarten (97.9% compared to 96.6%, a difference of 1.4%).
Brazilian vs Bangladeshi Education Level
Education Level MetricBrazilianBangladeshi
No Schooling Completed
Good
2.1%
Tragic
3.5%
Nursery School
Average
98.0%
Tragic
96.6%
Kindergarten
Average
97.9%
Tragic
96.6%
1st Grade
Average
97.9%
Tragic
96.5%
2nd Grade
Average
97.9%
Tragic
96.5%
3rd Grade
Average
97.8%
Tragic
96.3%
4th Grade
Average
97.5%
Tragic
96.1%
5th Grade
Fair
97.2%
Tragic
95.9%
6th Grade
Fair
96.9%
Tragic
95.7%
7th Grade
Fair
96.0%
Tragic
94.5%
8th Grade
Fair
95.6%
Tragic
94.3%
9th Grade
Average
94.9%
Tragic
93.4%
10th Grade
Good
93.8%
Tragic
92.2%
11th Grade
Good
92.8%
Tragic
90.9%
12th Grade, No Diploma
Good
91.3%
Tragic
89.3%
High School Diploma
Good
89.3%
Tragic
86.9%
GED/Equivalency
Good
86.3%
Tragic
83.1%
College, Under 1 year
Good
65.9%
Tragic
61.4%
College, 1 year or more
Good
60.5%
Tragic
54.5%
Associate's Degree
Exceptional
48.7%
Tragic
40.0%
Bachelor's Degree
Exceptional
40.8%
Tragic
30.2%
Master's Degree
Exceptional
16.5%
Tragic
10.5%
Professional Degree
Exceptional
5.0%
Tragic
3.1%
Doctorate Degree
Exceptional
2.1%
Tragic
1.2%

Brazilian vs Bangladeshi Disability

When considering disability, the most significant differences between Brazilian and Bangladeshi communities in the United States are seen in disability age 35 to 64 (10.5% compared to 13.6%, a difference of 29.9%), self-care disability (2.3% compared to 2.8%, a difference of 21.4%), and disability age 65 to 74 (22.4% compared to 26.8%, a difference of 20.1%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.9% compared to 5.8%, a difference of 2.0%), disability age over 75 (46.5% compared to 49.4%, a difference of 6.4%), and cognitive disability (17.1% compared to 18.6%, a difference of 8.7%).
Brazilian vs Bangladeshi Disability
Disability MetricBrazilianBangladeshi
Disability
Exceptional
11.4%
Tragic
12.6%
Males
Excellent
10.9%
Tragic
12.0%
Females
Exceptional
11.8%
Tragic
13.1%
Age | Under 5 years
Tragic
1.5%
Poor
1.3%
Age | 5 to 17 years
Tragic
5.9%
Tragic
5.8%
Age | 18 to 34 years
Excellent
6.4%
Tragic
7.4%
Age | 35 to 64 years
Exceptional
10.5%
Tragic
13.6%
Age | 65 to 74 years
Exceptional
22.4%
Tragic
26.8%
Age | Over 75 years
Exceptional
46.5%
Tragic
49.4%
Vision
Good
2.1%
Tragic
2.3%
Hearing
Good
2.9%
Tragic
3.2%
Cognitive
Good
17.1%
Tragic
18.6%
Ambulatory
Exceptional
5.7%
Poor
6.3%
Self-Care
Exceptional
2.3%
Tragic
2.8%