Immigrants from Bangladesh vs Brazilian Community Comparison

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Immigrants from Bangladesh
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
Brazilian
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
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBarbadosBelarusBelgiumBelizeBoliviaBosnia 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

Immigrants from Bangladesh

Brazilians

Poor
Good
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
6,919
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
136th/ 347
SOCIAL RANK

Brazilian Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 169,731,410 people shows a mild negative correlation between the proportion of Brazilians within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.321. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.019% in Brazilians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 18.7 Brazilians.
Immigrants from Bangladesh Integration in Brazilian Communities

Immigrants from Bangladesh vs Brazilian Income

When considering income, the most significant differences between Immigrants from Bangladesh and Brazilian communities in the United States are seen in wage/income gap (20.9% compared to 26.7%, a difference of 27.6%), householder income ages 45 - 64 years ($92,208 compared to $104,408, a difference of 13.2%), and median family income ($94,665 compared to $106,942, a difference of 13.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,714 compared to $54,335, a difference of 0.70%), median female earnings ($39,910 compared to $40,483, a difference of 1.4%), and median earnings ($45,532 compared to $48,356, a difference of 6.2%).
Immigrants from Bangladesh vs Brazilian Income
Income MetricImmigrants from BangladeshBrazilian
Per Capita Income
Poor
$41,709
Exceptional
$46,700
Median Family Income
Tragic
$94,665
Excellent
$106,942
Median Household Income
Tragic
$80,722
Exceptional
$88,934
Median Earnings
Fair
$45,532
Exceptional
$48,356
Median Male Earnings
Tragic
$51,642
Exceptional
$56,837
Median Female Earnings
Good
$39,910
Excellent
$40,483
Householder Age | Under 25 years
Exceptional
$54,714
Exceptional
$54,335
Householder Age | 25 - 44 years
Tragic
$90,448
Excellent
$98,267
Householder Age | 45 - 64 years
Tragic
$92,208
Excellent
$104,408
Householder Age | Over 65 years
Tragic
$55,394
Good
$61,465
Wage/Income Gap
Exceptional
20.9%
Tragic
26.7%

Immigrants from Bangladesh vs Brazilian Poverty

When considering poverty, the most significant differences between Immigrants from Bangladesh and Brazilian communities in the United States are seen in married-couple family poverty (7.5% compared to 5.0%, a difference of 49.0%), receiving food stamps (15.9% compared to 11.1%, a difference of 43.5%), and family poverty (11.7% compared to 8.6%, a difference of 35.9%). Conversely, both communities are more comparable in terms of single father poverty (16.3% compared to 15.5%, a difference of 5.2%), single mother poverty (31.1% compared to 28.3%, a difference of 10.0%), and single male poverty (13.0% compared to 11.8%, a difference of 10.8%).
Immigrants from Bangladesh vs Brazilian Poverty
Poverty MetricImmigrants from BangladeshBrazilian
Poverty
Tragic
15.3%
Good
11.9%
Families
Tragic
11.7%
Excellent
8.6%
Males
Tragic
14.1%
Excellent
10.8%
Females
Tragic
16.4%
Excellent
13.0%
Females 18 to 24 years
Tragic
21.8%
Exceptional
18.6%
Females 25 to 34 years
Tragic
14.8%
Excellent
13.1%
Children Under 5 years
Tragic
20.1%
Excellent
16.4%
Children Under 16 years
Tragic
19.8%
Excellent
15.4%
Boys Under 16 years
Tragic
19.9%
Excellent
15.8%
Girls Under 16 years
Tragic
19.9%
Excellent
15.4%
Single Males
Fair
13.0%
Exceptional
11.8%
Single Females
Tragic
22.3%
Exceptional
20.1%
Single Fathers
Average
16.3%
Exceptional
15.5%
Single Mothers
Tragic
31.1%
Exceptional
28.3%
Married Couples
Tragic
7.5%
Good
5.0%
Seniors Over 65 years
Tragic
14.1%
Poor
11.3%
Seniors Over 75 years
Tragic
15.8%
Tragic
12.8%
Receiving Food Stamps
Tragic
15.9%
Excellent
11.1%

Immigrants from Bangladesh vs Brazilian Unemployment

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Brazilian communities in the United States are seen in male unemployment (6.6% compared to 5.2%, a difference of 26.5%), unemployment among ages 16 to 19 years (21.5% compared to 17.1%, a difference of 25.9%), and unemployment among youth under 25 years (14.2% compared to 11.5%, a difference of 23.7%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.1% compared to 9.3%, a difference of 2.0%), unemployment among women with children ages 6 to 17 years (8.8% compared to 9.1%, a difference of 2.8%), and unemployment among ages 65 to 74 years (5.9% compared to 5.6%, a difference of 4.5%).
Immigrants from Bangladesh vs Brazilian Unemployment
Unemployment MetricImmigrants from BangladeshBrazilian
Unemployment
Tragic
6.5%
Average
5.3%
Males
Tragic
6.6%
Good
5.2%
Females
Tragic
6.5%
Tragic
5.5%
Youth < 25
Tragic
14.2%
Good
11.5%
Age | 16 to 19 years
Tragic
21.5%
Exceptional
17.1%
Age | 20 to 24 years
Tragic
12.6%
Good
10.2%
Age | 25 to 29 years
Tragic
7.5%
Excellent
6.5%
Age | 30 to 34 years
Tragic
6.4%
Average
5.4%
Age | 35 to 44 years
Tragic
5.3%
Fair
4.7%
Age | 45 to 54 years
Tragic
5.4%
Fair
4.6%
Age | 55 to 59 years
Tragic
5.9%
Tragic
5.0%
Age | 60 to 64 years
Tragic
6.0%
Poor
5.0%
Age | 65 to 74 years
Tragic
5.9%
Tragic
5.6%
Seniors > 65
Tragic
5.7%
Tragic
5.5%
Seniors > 75
Tragic
9.1%
Tragic
9.3%
Women w/ Children < 6
Tragic
8.8%
Average
7.7%
Women w/ Children 6 to 17
Good
8.8%
Fair
9.1%
Women w/ Children < 18
Tragic
6.4%
Tragic
5.8%

Immigrants from Bangladesh vs Brazilian Labor Participation

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Brazilian communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 37.5%, a difference of 24.8%), in labor force | age 20-24 (70.6% compared to 75.8%, a difference of 7.3%), and in labor force | age 45-54 (80.7% compared to 83.7%, a difference of 3.7%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (83.6% compared to 85.4%, a difference of 2.1%), in labor force | age 35-44 (82.9% compared to 85.0%, a difference of 2.5%), and in labor force | age 25-29 (83.0% compared to 85.3%, a difference of 2.8%).
Immigrants from Bangladesh vs Brazilian Labor Participation
Labor Participation MetricImmigrants from BangladeshBrazilian
In Labor Force | Age > 16
Tragic
64.5%
Exceptional
66.6%
In Labor Force | Age 20-64
Tragic
77.9%
Exceptional
80.5%
In Labor Force | Age 16-19
Tragic
30.0%
Excellent
37.5%
In Labor Force | Age 20-24
Tragic
70.6%
Exceptional
75.8%
In Labor Force | Age 25-29
Tragic
83.0%
Exceptional
85.3%
In Labor Force | Age 30-34
Tragic
83.6%
Exceptional
85.4%
In Labor Force | Age 35-44
Tragic
82.9%
Exceptional
85.0%
In Labor Force | Age 45-54
Tragic
80.7%
Exceptional
83.7%

Immigrants from Bangladesh vs Brazilian Family Structure

When considering family structure, the most significant differences between Immigrants from Bangladesh and Brazilian communities in the United States are seen in divorced or separated (11.0% compared to 12.1%, a difference of 10.0%), single mother households (6.9% compared to 6.2%, a difference of 10.0%), and single father households (2.1% compared to 2.2%, a difference of 7.6%). Conversely, both communities are more comparable in terms of family households (63.9% compared to 63.9%, a difference of 0.030%), family households with children (27.6% compared to 27.7%, a difference of 0.36%), and births to unmarried women (30.9% compared to 30.4%, a difference of 1.7%).
Immigrants from Bangladesh vs Brazilian Family Structure
Family Structure MetricImmigrants from BangladeshBrazilian
Family Households
Poor
63.9%
Poor
63.9%
Family Households with Children
Good
27.6%
Good
27.7%
Married-couple Households
Tragic
43.1%
Fair
46.2%
Average Family Size
Exceptional
3.36
Tragic
3.18
Single Father Households
Exceptional
2.1%
Exceptional
2.2%
Single Mother Households
Tragic
6.9%
Average
6.2%
Currently Married
Tragic
43.6%
Fair
46.4%
Divorced or Separated
Exceptional
11.0%
Average
12.1%
Births to Unmarried Women
Good
30.9%
Excellent
30.4%

Immigrants from Bangladesh vs Brazilian Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Brazilian communities in the United States are seen in no vehicles in household (25.8% compared to 10.4%, a difference of 148.0%), 3 or more vehicles in household (12.5% compared to 17.4%, a difference of 39.2%), and 2 or more vehicles in household (38.8% compared to 53.8%, a difference of 38.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 90.0%, a difference of 21.1%), 4 or more vehicles in household (3.9% compared to 5.4%, a difference of 37.9%), and 2 or more vehicles in household (38.8% compared to 53.8%, a difference of 38.6%).
Immigrants from Bangladesh vs Brazilian Vehicle Availability
Vehicle Availability MetricImmigrants from BangladeshBrazilian
No Vehicles Available
Tragic
25.8%
Average
10.4%
1+ Vehicles Available
Tragic
74.3%
Good
90.0%
2+ Vehicles Available
Tragic
38.8%
Tragic
53.8%
3+ Vehicles Available
Tragic
12.5%
Tragic
17.4%
4+ Vehicles Available
Tragic
3.9%
Tragic
5.4%

Immigrants from Bangladesh vs Brazilian Education Level

When considering education level, the most significant differences between Immigrants from Bangladesh and Brazilian communities in the United States are seen in no schooling completed (3.1% compared to 2.1%, a difference of 52.5%), doctorate degree (1.8% compared to 2.1%, a difference of 13.0%), and professional degree (4.4% compared to 5.0%, a difference of 12.2%). Conversely, both communities are more comparable in terms of kindergarten (96.8% compared to 97.9%, a difference of 1.1%), nursery school (96.9% compared to 98.0%, a difference of 1.2%), and 1st grade (96.8% compared to 97.9%, a difference of 1.2%).
Immigrants from Bangladesh vs Brazilian Education Level
Education Level MetricImmigrants from BangladeshBrazilian
No Schooling Completed
Tragic
3.1%
Good
2.1%
Nursery School
Tragic
96.9%
Average
98.0%
Kindergarten
Tragic
96.8%
Average
97.9%
1st Grade
Tragic
96.8%
Average
97.9%
2nd Grade
Tragic
96.7%
Average
97.9%
3rd Grade
Tragic
96.6%
Average
97.8%
4th Grade
Tragic
96.2%
Average
97.5%
5th Grade
Tragic
96.0%
Fair
97.2%
6th Grade
Tragic
95.4%
Fair
96.9%
7th Grade
Tragic
94.0%
Fair
96.0%
8th Grade
Tragic
93.6%
Fair
95.6%
9th Grade
Tragic
92.4%
Average
94.9%
10th Grade
Tragic
91.0%
Good
93.8%
11th Grade
Tragic
89.5%
Good
92.8%
12th Grade, No Diploma
Tragic
88.0%
Good
91.3%
High School Diploma
Tragic
85.5%
Good
89.3%
GED/Equivalency
Tragic
81.9%
Good
86.3%
College, Under 1 year
Tragic
61.3%
Good
65.9%
College, 1 year or more
Tragic
56.6%
Good
60.5%
Associate's Degree
Fair
45.2%
Exceptional
48.7%
Bachelor's Degree
Average
37.8%
Exceptional
40.8%
Master's Degree
Good
15.5%
Exceptional
16.5%
Professional Degree
Average
4.4%
Exceptional
5.0%
Doctorate Degree
Average
1.8%
Exceptional
2.1%

Immigrants from Bangladesh vs Brazilian Disability

When considering disability, the most significant differences between Immigrants from Bangladesh and Brazilian communities in the United States are seen in disability age under 5 (0.85% compared to 1.5%, a difference of 70.7%), hearing disability (2.4% compared to 2.9%, a difference of 19.7%), and disability age 5 to 17 (5.2% compared to 5.9%, a difference of 14.5%). Conversely, both communities are more comparable in terms of female disability (11.8% compared to 11.8%, a difference of 0.040%), vision disability (2.1% compared to 2.1%, a difference of 0.23%), and disability (11.0% compared to 11.4%, a difference of 2.9%).
Immigrants from Bangladesh vs Brazilian Disability
Disability MetricImmigrants from BangladeshBrazilian
Disability
Exceptional
11.0%
Exceptional
11.4%
Males
Exceptional
10.3%
Excellent
10.9%
Females
Exceptional
11.8%
Exceptional
11.8%
Age | Under 5 years
Exceptional
0.85%
Tragic
1.5%
Age | 5 to 17 years
Exceptional
5.2%
Tragic
5.9%
Age | 18 to 34 years
Exceptional
5.6%
Excellent
6.4%
Age | 35 to 64 years
Excellent
10.9%
Exceptional
10.5%
Age | 65 to 74 years
Fair
23.6%
Exceptional
22.4%
Age | Over 75 years
Tragic
48.0%
Exceptional
46.5%
Vision
Good
2.1%
Good
2.1%
Hearing
Exceptional
2.4%
Good
2.9%
Cognitive
Tragic
17.8%
Good
17.1%
Ambulatory
Fair
6.2%
Exceptional
5.7%
Self-Care
Tragic
2.6%
Exceptional
2.3%