Asian vs Brazilian Community Comparison

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Asian
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
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

Asians

Brazilians

Excellent
Good
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
6,919
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
136th/ 347
SOCIAL RANK

Brazilian Integration in Asian Communities

The statistical analysis conducted on geographies consisting of 321,708,632 people shows a mild negative correlation between the proportion of Brazilians within Asian communities in the United States with a correlation coefficient (R) of -0.372. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.002% in Brazilians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 2.3 Brazilians.
Asian Integration in Brazilian Communities

Asian vs Brazilian Income

When considering income, the most significant differences between Asian and Brazilian communities in the United States are seen in householder income ages 25 - 44 years ($112,666 compared to $98,267, a difference of 14.6%), median household income ($101,681 compared to $88,934, a difference of 14.3%), and householder income ages 45 - 64 years ($118,426 compared to $104,408, a difference of 13.4%). Conversely, both communities are more comparable in terms of wage/income gap (26.9% compared to 26.7%, a difference of 0.76%), householder income under 25 years ($57,003 compared to $54,335, a difference of 4.9%), and per capita income ($50,057 compared to $46,700, a difference of 7.2%).
Asian vs Brazilian Income
Income MetricAsianBrazilian
Per Capita Income
Exceptional
$50,057
Exceptional
$46,700
Median Family Income
Exceptional
$119,955
Excellent
$106,942
Median Household Income
Exceptional
$101,681
Exceptional
$88,934
Median Earnings
Exceptional
$53,690
Exceptional
$48,356
Median Male Earnings
Exceptional
$63,827
Exceptional
$56,837
Median Female Earnings
Exceptional
$44,586
Excellent
$40,483
Householder Age | Under 25 years
Exceptional
$57,003
Exceptional
$54,335
Householder Age | 25 - 44 years
Exceptional
$112,666
Excellent
$98,267
Householder Age | 45 - 64 years
Exceptional
$118,426
Excellent
$104,408
Householder Age | Over 65 years
Exceptional
$68,822
Good
$61,465
Wage/Income Gap
Tragic
26.9%
Tragic
26.7%

Asian vs Brazilian Poverty

When considering poverty, the most significant differences between Asian and Brazilian communities in the United States are seen in child poverty under the age of 5 (14.0% compared to 16.4%, a difference of 17.1%), child poverty among boys under 16 (13.5% compared to 15.8%, a difference of 16.6%), and child poverty under the age of 16 (13.5% compared to 15.4%, a difference of 14.7%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (18.2% compared to 18.6%, a difference of 2.5%), single male poverty (11.2% compared to 11.8%, a difference of 4.9%), and single father poverty (14.6% compared to 15.5%, a difference of 6.2%).
Asian vs Brazilian Poverty
Poverty MetricAsianBrazilian
Poverty
Exceptional
11.0%
Good
11.9%
Families
Exceptional
7.7%
Excellent
8.6%
Males
Exceptional
10.0%
Excellent
10.8%
Females
Exceptional
11.9%
Excellent
13.0%
Females 18 to 24 years
Exceptional
18.2%
Exceptional
18.6%
Females 25 to 34 years
Exceptional
11.4%
Excellent
13.1%
Children Under 5 years
Exceptional
14.0%
Excellent
16.4%
Children Under 16 years
Exceptional
13.5%
Excellent
15.4%
Boys Under 16 years
Exceptional
13.5%
Excellent
15.8%
Girls Under 16 years
Exceptional
13.7%
Excellent
15.4%
Single Males
Exceptional
11.2%
Exceptional
11.8%
Single Females
Exceptional
18.3%
Exceptional
20.1%
Single Fathers
Exceptional
14.6%
Exceptional
15.5%
Single Mothers
Exceptional
26.0%
Exceptional
28.3%
Married Couples
Exceptional
4.7%
Good
5.0%
Seniors Over 65 years
Excellent
10.4%
Poor
11.3%
Seniors Over 75 years
Good
12.0%
Tragic
12.8%
Receiving Food Stamps
Exceptional
9.7%
Excellent
11.1%

Asian vs Brazilian Unemployment

When considering unemployment, the most significant differences between Asian and Brazilian communities in the United States are seen in unemployment among women with children under 18 years (5.1% compared to 5.8%, a difference of 15.2%), unemployment among women with children under 6 years (6.7% compared to 7.7%, a difference of 15.0%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 9.1%, a difference of 14.1%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.2% compared to 10.2%, a difference of 0.040%), unemployment among youth under 25 years (11.4% compared to 11.5%, a difference of 0.41%), and unemployment among ages 16 to 19 years (16.9% compared to 17.1%, a difference of 1.1%).
Asian vs Brazilian Unemployment
Unemployment MetricAsianBrazilian
Unemployment
Excellent
5.1%
Average
5.3%
Males
Exceptional
5.1%
Good
5.2%
Females
Good
5.2%
Tragic
5.5%
Youth < 25
Good
11.4%
Good
11.5%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
17.1%
Age | 20 to 24 years
Good
10.2%
Good
10.2%
Age | 25 to 29 years
Exceptional
6.3%
Excellent
6.5%
Age | 30 to 34 years
Exceptional
5.1%
Average
5.4%
Age | 35 to 44 years
Exceptional
4.4%
Fair
4.7%
Age | 45 to 54 years
Exceptional
4.3%
Fair
4.6%
Age | 55 to 59 years
Exceptional
4.7%
Tragic
5.0%
Age | 60 to 64 years
Average
4.9%
Poor
5.0%
Age | 65 to 74 years
Exceptional
5.3%
Tragic
5.6%
Seniors > 65
Excellent
5.1%
Tragic
5.5%
Seniors > 75
Exceptional
8.3%
Tragic
9.3%
Women w/ Children < 6
Exceptional
6.7%
Average
7.7%
Women w/ Children 6 to 17
Exceptional
8.0%
Fair
9.1%
Women w/ Children < 18
Exceptional
5.1%
Tragic
5.8%

Asian vs Brazilian Labor Participation

When considering labor participation, the most significant differences between Asian and Brazilian communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 37.5%, a difference of 10.1%), in labor force | age 20-24 (73.7% compared to 75.8%, a difference of 2.9%), and in labor force | age > 16 (66.2% compared to 66.6%, a difference of 0.62%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.4% compared to 83.7%, a difference of 0.33%), in labor force | age 30-34 (85.1% compared to 85.4%, a difference of 0.35%), and in labor force | age 35-44 (84.7% compared to 85.0%, a difference of 0.38%).
Asian vs Brazilian Labor Participation
Labor Participation MetricAsianBrazilian
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
66.6%
In Labor Force | Age 20-64
Exceptional
80.2%
Exceptional
80.5%
In Labor Force | Age 16-19
Tragic
34.1%
Excellent
37.5%
In Labor Force | Age 20-24
Tragic
73.7%
Exceptional
75.8%
In Labor Force | Age 25-29
Good
84.8%
Exceptional
85.3%
In Labor Force | Age 30-34
Exceptional
85.1%
Exceptional
85.4%
In Labor Force | Age 35-44
Exceptional
84.7%
Exceptional
85.0%
In Labor Force | Age 45-54
Exceptional
83.4%
Exceptional
83.7%

Asian vs Brazilian Family Structure

When considering family structure, the most significant differences between Asian and Brazilian communities in the United States are seen in divorced or separated (10.6% compared to 12.1%, a difference of 13.5%), births to unmarried women (26.8% compared to 30.4%, a difference of 13.4%), and single mother households (5.6% compared to 6.2%, a difference of 11.7%). Conversely, both communities are more comparable in terms of average family size (3.28 compared to 3.18, a difference of 3.0%), family households (66.5% compared to 63.9%, a difference of 4.1%), and currently married (48.4% compared to 46.4%, a difference of 4.2%).
Asian vs Brazilian Family Structure
Family Structure MetricAsianBrazilian
Family Households
Exceptional
66.5%
Poor
63.9%
Family Households with Children
Exceptional
29.1%
Good
27.7%
Married-couple Households
Exceptional
49.5%
Fair
46.2%
Average Family Size
Exceptional
3.28
Tragic
3.18
Single Father Households
Exceptional
2.1%
Exceptional
2.2%
Single Mother Households
Exceptional
5.6%
Average
6.2%
Currently Married
Exceptional
48.4%
Fair
46.4%
Divorced or Separated
Exceptional
10.6%
Average
12.1%
Births to Unmarried Women
Exceptional
26.8%
Excellent
30.4%

Asian vs Brazilian Vehicle Availability

When considering vehicle availability, the most significant differences between Asian and Brazilian communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 5.4%, a difference of 30.4%), 3 or more vehicles in household (20.8% compared to 17.4%, a difference of 19.1%), and no vehicles in household (9.0% compared to 10.4%, a difference of 15.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 90.0%, a difference of 1.2%), 2 or more vehicles in household (57.0% compared to 53.8%, a difference of 6.0%), and no vehicles in household (9.0% compared to 10.4%, a difference of 15.7%).
Asian vs Brazilian Vehicle Availability
Vehicle Availability MetricAsianBrazilian
No Vehicles Available
Exceptional
9.0%
Average
10.4%
1+ Vehicles Available
Exceptional
91.1%
Good
90.0%
2+ Vehicles Available
Exceptional
57.0%
Tragic
53.8%
3+ Vehicles Available
Exceptional
20.8%
Tragic
17.4%
4+ Vehicles Available
Exceptional
7.0%
Tragic
5.4%

Asian vs Brazilian Education Level

When considering education level, the most significant differences between Asian and Brazilian communities in the United States are seen in doctorate degree (2.4% compared to 2.1%, a difference of 17.0%), no schooling completed (2.4% compared to 2.1%, a difference of 16.3%), and master's degree (18.4% compared to 16.5%, a difference of 11.5%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.4% compared to 91.3%, a difference of 0.14%), high school diploma (89.4% compared to 89.3%, a difference of 0.16%), and 11th grade (92.5% compared to 92.8%, a difference of 0.26%).
Asian vs Brazilian Education Level
Education Level MetricAsianBrazilian
No Schooling Completed
Tragic
2.4%
Good
2.1%
Nursery School
Tragic
97.6%
Average
98.0%
Kindergarten
Tragic
97.6%
Average
97.9%
1st Grade
Tragic
97.6%
Average
97.9%
2nd Grade
Tragic
97.5%
Average
97.9%
3rd Grade
Tragic
97.4%
Average
97.8%
4th Grade
Tragic
97.1%
Average
97.5%
5th Grade
Tragic
96.9%
Fair
97.2%
6th Grade
Tragic
96.6%
Fair
96.9%
7th Grade
Tragic
95.5%
Fair
96.0%
8th Grade
Tragic
95.2%
Fair
95.6%
9th Grade
Tragic
94.5%
Average
94.9%
10th Grade
Fair
93.5%
Good
93.8%
11th Grade
Average
92.5%
Good
92.8%
12th Grade, No Diploma
Good
91.4%
Good
91.3%
High School Diploma
Good
89.4%
Good
89.3%
GED/Equivalency
Exceptional
86.7%
Good
86.3%
College, Under 1 year
Exceptional
69.4%
Good
65.9%
College, 1 year or more
Exceptional
64.2%
Good
60.5%
Associate's Degree
Exceptional
52.1%
Exceptional
48.7%
Bachelor's Degree
Exceptional
44.4%
Exceptional
40.8%
Master's Degree
Exceptional
18.4%
Exceptional
16.5%
Professional Degree
Exceptional
5.5%
Exceptional
5.0%
Doctorate Degree
Exceptional
2.4%
Exceptional
2.1%

Asian vs Brazilian Disability

When considering disability, the most significant differences between Asian and Brazilian communities in the United States are seen in disability age under 5 (1.1% compared to 1.5%, a difference of 34.2%), disability age 5 to 17 (4.8% compared to 5.9%, a difference of 23.3%), and vision disability (1.9% compared to 2.1%, a difference of 13.1%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.22%), disability age over 75 (46.9% compared to 46.5%, a difference of 1.1%), and cognitive disability (16.7% compared to 17.1%, a difference of 2.2%).
Asian vs Brazilian Disability
Disability MetricAsianBrazilian
Disability
Exceptional
10.4%
Exceptional
11.4%
Males
Exceptional
10.0%
Excellent
10.9%
Females
Exceptional
10.9%
Exceptional
11.8%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.5%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
5.9%
Age | 18 to 34 years
Exceptional
5.8%
Excellent
6.4%
Age | 35 to 64 years
Exceptional
9.4%
Exceptional
10.5%
Age | 65 to 74 years
Exceptional
21.4%
Exceptional
22.4%
Age | Over 75 years
Excellent
46.9%
Exceptional
46.5%
Vision
Exceptional
1.9%
Good
2.1%
Hearing
Exceptional
2.7%
Good
2.9%
Cognitive
Exceptional
16.7%
Good
17.1%
Ambulatory
Exceptional
5.4%
Exceptional
5.7%
Self-Care
Exceptional
2.3%
Exceptional
2.3%