Brazilian vs Burmese Community Comparison

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Brazilian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianCajunCambodianCanadianCape 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
Burmese
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

Burmese

Good
Exceptional
6,919
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
136th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Brazilian Communities

The statistical analysis conducted on geographies consisting of 303,767,429 people shows a mild negative correlation between the proportion of Burmese within Brazilian communities in the United States with a correlation coefficient (R) of -0.350. On average, for every 1% (one percent) increase in Brazilians within a typical geography, there is a decrease of 0.053% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Brazilians corresponds to a decrease of 52.8 Burmese.
Brazilian Integration in Burmese Communities

Brazilian vs Burmese Income

When considering income, the most significant differences between Brazilian and Burmese communities in the United States are seen in householder income ages 45 - 64 years ($104,408 compared to $121,444, a difference of 16.3%), median household income ($88,934 compared to $103,145, a difference of 16.0%), and householder income over 65 years ($61,465 compared to $71,139, a difference of 15.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,335 compared to $54,800, a difference of 0.86%), wage/income gap (26.7% compared to 28.0%, a difference of 4.8%), and median female earnings ($40,483 compared to $44,911, a difference of 10.9%).
Brazilian vs Burmese Income
Income MetricBrazilianBurmese
Per Capita Income
Exceptional
$46,700
Exceptional
$52,005
Median Family Income
Excellent
$106,942
Exceptional
$123,369
Median Household Income
Exceptional
$88,934
Exceptional
$103,145
Median Earnings
Exceptional
$48,356
Exceptional
$54,559
Median Male Earnings
Exceptional
$56,837
Exceptional
$65,236
Median Female Earnings
Excellent
$40,483
Exceptional
$44,911
Householder Age | Under 25 years
Exceptional
$54,335
Exceptional
$54,800
Householder Age | 25 - 44 years
Excellent
$98,267
Exceptional
$113,701
Householder Age | 45 - 64 years
Excellent
$104,408
Exceptional
$121,444
Householder Age | Over 65 years
Good
$61,465
Exceptional
$71,139
Wage/Income Gap
Tragic
26.7%
Tragic
28.0%

Brazilian vs Burmese Poverty

When considering poverty, the most significant differences between Brazilian and Burmese communities in the United States are seen in receiving food stamps (11.1% compared to 8.6%, a difference of 28.1%), child poverty under the age of 5 (16.4% compared to 13.2%, a difference of 23.6%), and child poverty among boys under 16 (15.8% compared to 13.0%, a difference of 21.6%). Conversely, both communities are more comparable in terms of single father poverty (15.5% compared to 15.5%, a difference of 0.030%), single male poverty (11.8% compared to 11.7%, a difference of 0.26%), and female poverty among 18-24 year olds (18.6% compared to 18.9%, a difference of 1.5%).
Brazilian vs Burmese Poverty
Poverty MetricBrazilianBurmese
Poverty
Good
11.9%
Exceptional
10.7%
Families
Excellent
8.6%
Exceptional
7.3%
Males
Excellent
10.8%
Exceptional
9.7%
Females
Excellent
13.0%
Exceptional
11.6%
Females 18 to 24 years
Exceptional
18.6%
Exceptional
18.9%
Females 25 to 34 years
Excellent
13.1%
Exceptional
11.2%
Children Under 5 years
Excellent
16.4%
Exceptional
13.2%
Children Under 16 years
Excellent
15.4%
Exceptional
12.8%
Boys Under 16 years
Excellent
15.8%
Exceptional
13.0%
Girls Under 16 years
Excellent
15.4%
Exceptional
13.0%
Single Males
Exceptional
11.8%
Exceptional
11.7%
Single Females
Exceptional
20.1%
Exceptional
18.3%
Single Fathers
Exceptional
15.5%
Exceptional
15.5%
Single Mothers
Exceptional
28.3%
Exceptional
26.2%
Married Couples
Good
5.0%
Exceptional
4.3%
Seniors Over 65 years
Poor
11.3%
Exceptional
10.1%
Seniors Over 75 years
Tragic
12.8%
Excellent
11.7%
Receiving Food Stamps
Excellent
11.1%
Exceptional
8.6%

Brazilian vs Burmese Unemployment

When considering unemployment, the most significant differences between Brazilian and Burmese communities in the United States are seen in unemployment among women with children under 6 years (7.7% compared to 6.5%, a difference of 18.4%), unemployment among women with children under 18 years (5.8% compared to 4.9%, a difference of 18.1%), and unemployment among women with children ages 6 to 17 years (9.1% compared to 8.0%, 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 0.23%), unemployment among ages 16 to 19 years (17.1% compared to 17.0%, a difference of 0.56%), and unemployment among youth under 25 years (11.5% compared to 11.3%, a difference of 1.3%).
Brazilian vs Burmese Unemployment
Unemployment MetricBrazilianBurmese
Unemployment
Average
5.3%
Exceptional
4.9%
Males
Good
5.2%
Exceptional
4.9%
Females
Tragic
5.5%
Exceptional
5.0%
Youth < 25
Good
11.5%
Excellent
11.3%
Age | 16 to 19 years
Exceptional
17.1%
Exceptional
17.0%
Age | 20 to 24 years
Good
10.2%
Excellent
10.2%
Age | 25 to 29 years
Excellent
6.5%
Exceptional
6.2%
Age | 30 to 34 years
Average
5.4%
Exceptional
5.1%
Age | 35 to 44 years
Fair
4.7%
Exceptional
4.3%
Age | 45 to 54 years
Fair
4.6%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
5.0%
Exceptional
4.5%
Age | 60 to 64 years
Poor
5.0%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.6%
Exceptional
5.2%
Seniors > 65
Tragic
5.5%
Exceptional
5.0%
Seniors > 75
Tragic
9.3%
Exceptional
8.2%
Women w/ Children < 6
Average
7.7%
Exceptional
6.5%
Women w/ Children 6 to 17
Fair
9.1%
Exceptional
8.0%
Women w/ Children < 18
Tragic
5.8%
Exceptional
4.9%

Brazilian vs Burmese Labor Participation

When considering labor participation, the most significant differences between Brazilian and Burmese communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 34.5%, a difference of 8.8%), in labor force | age 20-24 (75.8% compared to 73.6%, a difference of 3.0%), and in labor force | age > 16 (66.6% compared to 66.2%, a difference of 0.64%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.7% compared to 83.6%, a difference of 0.12%), in labor force | age 30-34 (85.4% compared to 85.3%, a difference of 0.14%), and in labor force | age 25-29 (85.3% compared to 85.1%, a difference of 0.17%).
Brazilian vs Burmese Labor Participation
Labor Participation MetricBrazilianBurmese
In Labor Force | Age > 16
Exceptional
66.6%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
80.5%
Exceptional
80.3%
In Labor Force | Age 16-19
Excellent
37.5%
Tragic
34.5%
In Labor Force | Age 20-24
Exceptional
75.8%
Tragic
73.6%
In Labor Force | Age 25-29
Exceptional
85.3%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.4%
Exceptional
85.3%
In Labor Force | Age 35-44
Exceptional
85.0%
Exceptional
84.7%
In Labor Force | Age 45-54
Exceptional
83.7%
Exceptional
83.6%

Brazilian vs Burmese Family Structure

When considering family structure, the most significant differences between Brazilian and Burmese communities in the United States are seen in single mother households (6.2% compared to 5.3%, a difference of 18.1%), births to unmarried women (30.4% compared to 26.4%, a difference of 15.2%), and divorced or separated (12.1% compared to 10.7%, a difference of 12.6%). Conversely, both communities are more comparable in terms of average family size (3.18 compared to 3.22, a difference of 1.0%), family households (63.9% compared to 65.7%, a difference of 2.9%), and family households with children (27.7% compared to 28.5%, a difference of 3.0%).
Brazilian vs Burmese Family Structure
Family Structure MetricBrazilianBurmese
Family Households
Poor
63.9%
Exceptional
65.7%
Family Households with Children
Good
27.7%
Exceptional
28.5%
Married-couple Households
Fair
46.2%
Exceptional
49.8%
Average Family Size
Tragic
3.18
Fair
3.22
Single Father Households
Exceptional
2.2%
Exceptional
2.0%
Single Mother Households
Average
6.2%
Exceptional
5.3%
Currently Married
Fair
46.4%
Exceptional
48.9%
Divorced or Separated
Average
12.1%
Exceptional
10.7%
Births to Unmarried Women
Excellent
30.4%
Exceptional
26.4%

Brazilian vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Brazilian and Burmese communities in the United States are seen in 4 or more vehicles in household (5.4% compared to 6.8%, a difference of 26.9%), 3 or more vehicles in household (17.4% compared to 20.6%, a difference of 18.5%), and 2 or more vehicles in household (53.8% compared to 57.8%, a difference of 7.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 90.4%, a difference of 0.46%), no vehicles in household (10.4% compared to 9.7%, a difference of 7.3%), and 2 or more vehicles in household (53.8% compared to 57.8%, a difference of 7.5%).
Brazilian vs Burmese Vehicle Availability
Vehicle Availability MetricBrazilianBurmese
No Vehicles Available
Average
10.4%
Excellent
9.7%
1+ Vehicles Available
Good
90.0%
Excellent
90.4%
2+ Vehicles Available
Tragic
53.8%
Exceptional
57.8%
3+ Vehicles Available
Tragic
17.4%
Exceptional
20.6%
4+ Vehicles Available
Tragic
5.4%
Exceptional
6.8%

Brazilian vs Burmese Education Level

When considering education level, the most significant differences between Brazilian and Burmese communities in the United States are seen in doctorate degree (2.1% compared to 2.6%, a difference of 26.9%), professional degree (5.0% compared to 6.1%, a difference of 23.1%), and master's degree (16.5% compared to 19.7%, a difference of 19.1%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.1%, a difference of 0.080%), 1st grade (97.9% compared to 98.0%, a difference of 0.090%), and 2nd grade (97.9% compared to 98.0%, a difference of 0.10%).
Brazilian vs Burmese Education Level
Education Level MetricBrazilianBurmese
No Schooling Completed
Good
2.1%
Excellent
1.9%
Nursery School
Average
98.0%
Excellent
98.1%
Kindergarten
Average
97.9%
Excellent
98.1%
1st Grade
Average
97.9%
Excellent
98.0%
2nd Grade
Average
97.9%
Excellent
98.0%
3rd Grade
Average
97.8%
Good
97.9%
4th Grade
Average
97.5%
Excellent
97.7%
5th Grade
Fair
97.2%
Excellent
97.5%
6th Grade
Fair
96.9%
Excellent
97.3%
7th Grade
Fair
96.0%
Excellent
96.3%
8th Grade
Fair
95.6%
Exceptional
96.1%
9th Grade
Average
94.9%
Exceptional
95.4%
10th Grade
Good
93.8%
Exceptional
94.5%
11th Grade
Good
92.8%
Exceptional
93.6%
12th Grade, No Diploma
Good
91.3%
Exceptional
92.6%
High School Diploma
Good
89.3%
Exceptional
90.8%
GED/Equivalency
Good
86.3%
Exceptional
88.3%
College, Under 1 year
Good
65.9%
Exceptional
71.9%
College, 1 year or more
Good
60.5%
Exceptional
66.7%
Associate's Degree
Exceptional
48.7%
Exceptional
54.6%
Bachelor's Degree
Exceptional
40.8%
Exceptional
46.9%
Master's Degree
Exceptional
16.5%
Exceptional
19.7%
Professional Degree
Exceptional
5.0%
Exceptional
6.1%
Doctorate Degree
Exceptional
2.1%
Exceptional
2.6%

Brazilian vs Burmese Disability

When considering disability, the most significant differences between Brazilian and Burmese communities in the United States are seen in disability age under 5 (1.5% compared to 1.1%, a difference of 29.7%), disability age 5 to 17 (5.9% compared to 4.8%, a difference of 23.9%), and vision disability (2.1% compared to 1.8%, a difference of 16.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 45.9%, a difference of 1.2%), cognitive disability (17.1% compared to 16.7%, a difference of 2.7%), and self-care disability (2.3% compared to 2.3%, a difference of 2.7%).
Brazilian vs Burmese Disability
Disability MetricBrazilianBurmese
Disability
Exceptional
11.4%
Exceptional
10.4%
Males
Excellent
10.9%
Exceptional
10.0%
Females
Exceptional
11.8%
Exceptional
10.7%
Age | Under 5 years
Tragic
1.5%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.9%
Exceptional
4.8%
Age | 18 to 34 years
Excellent
6.4%
Exceptional
6.0%
Age | 35 to 64 years
Exceptional
10.5%
Exceptional
9.2%
Age | 65 to 74 years
Exceptional
22.4%
Exceptional
20.6%
Age | Over 75 years
Exceptional
46.5%
Exceptional
45.9%
Vision
Good
2.1%
Exceptional
1.8%
Hearing
Good
2.9%
Exceptional
2.8%
Cognitive
Good
17.1%
Exceptional
16.7%
Ambulatory
Exceptional
5.7%
Exceptional
5.3%
Self-Care
Exceptional
2.3%
Exceptional
2.3%