Argentinean vs Burmese Community Comparison

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Argentinean
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 AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArmenianAssyrian/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

Argentineans

Burmese

Good
Exceptional
8,055
SOCIAL INDEX
78.0/ 100
SOCIAL RATING
90th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Argentinean Communities

The statistical analysis conducted on geographies consisting of 281,195,982 people shows a slight negative correlation between the proportion of Burmese within Argentinean communities in the United States with a correlation coefficient (R) of -0.066. On average, for every 1% (one percent) increase in Argentineans within a typical geography, there is a decrease of 0.019% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Argentineans corresponds to a decrease of 19.2 Burmese.
Argentinean Integration in Burmese Communities

Argentinean vs Burmese Income

When considering income, the most significant differences between Argentinean and Burmese communities in the United States are seen in householder income ages 45 - 64 years ($110,103 compared to $121,444, a difference of 10.3%), householder income ages 25 - 44 years ($103,111 compared to $113,701, a difference of 10.3%), and median household income ($93,960 compared to $103,145, a difference of 9.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,154 compared to $54,800, a difference of 1.2%), wage/income gap (27.0% compared to 28.0%, a difference of 3.8%), and per capita income ($49,862 compared to $52,005, a difference of 4.3%).
Argentinean vs Burmese Income
Income MetricArgentineanBurmese
Per Capita Income
Exceptional
$49,862
Exceptional
$52,005
Median Family Income
Exceptional
$112,665
Exceptional
$123,369
Median Household Income
Exceptional
$93,960
Exceptional
$103,145
Median Earnings
Exceptional
$50,399
Exceptional
$54,559
Median Male Earnings
Exceptional
$60,117
Exceptional
$65,236
Median Female Earnings
Exceptional
$41,952
Exceptional
$44,911
Householder Age | Under 25 years
Exceptional
$54,154
Exceptional
$54,800
Householder Age | 25 - 44 years
Exceptional
$103,111
Exceptional
$113,701
Householder Age | 45 - 64 years
Exceptional
$110,103
Exceptional
$121,444
Householder Age | Over 65 years
Exceptional
$65,246
Exceptional
$71,139
Wage/Income Gap
Tragic
27.0%
Tragic
28.0%

Argentinean vs Burmese Poverty

When considering poverty, the most significant differences between Argentinean and Burmese communities in the United States are seen in receiving food stamps (10.8% compared to 8.6%, a difference of 25.1%), married-couple family poverty (5.1% compared to 4.3%, a difference of 17.7%), and seniors poverty over the age of 65 (11.7% compared to 10.1%, a difference of 16.1%). Conversely, both communities are more comparable in terms of single male poverty (11.9% compared to 11.7%, a difference of 1.6%), single father poverty (15.8% compared to 15.5%, a difference of 2.1%), and female poverty among 18-24 year olds (18.4% compared to 18.9%, a difference of 2.9%).
Argentinean vs Burmese Poverty
Poverty MetricArgentineanBurmese
Poverty
Excellent
11.7%
Exceptional
10.7%
Families
Excellent
8.4%
Exceptional
7.3%
Males
Exceptional
10.6%
Exceptional
9.7%
Females
Excellent
12.8%
Exceptional
11.6%
Females 18 to 24 years
Exceptional
18.4%
Exceptional
18.9%
Females 25 to 34 years
Exceptional
12.5%
Exceptional
11.2%
Children Under 5 years
Exceptional
15.4%
Exceptional
13.2%
Children Under 16 years
Exceptional
14.6%
Exceptional
12.8%
Boys Under 16 years
Exceptional
14.9%
Exceptional
13.0%
Girls Under 16 years
Exceptional
14.7%
Exceptional
13.0%
Single Males
Exceptional
11.9%
Exceptional
11.7%
Single Females
Exceptional
19.1%
Exceptional
18.3%
Single Fathers
Exceptional
15.8%
Exceptional
15.5%
Single Mothers
Exceptional
27.2%
Exceptional
26.2%
Married Couples
Good
5.1%
Exceptional
4.3%
Seniors Over 65 years
Tragic
11.7%
Exceptional
10.1%
Seniors Over 75 years
Tragic
13.4%
Excellent
11.7%
Receiving Food Stamps
Exceptional
10.8%
Exceptional
8.6%

Argentinean vs Burmese Unemployment

When considering unemployment, the most significant differences between Argentinean and Burmese communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 6.5%, a difference of 11.6%), unemployment among ages 25 to 29 years (6.7% compared to 6.2%, a difference of 8.7%), and unemployment among women with children ages 6 to 17 years (8.6% compared to 8.0%, a difference of 8.5%). 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 0.25%), unemployment among ages 55 to 59 years (4.6% compared to 4.5%, a difference of 1.1%), and unemployment among youth under 25 years (11.5% compared to 11.3%, a difference of 1.3%).
Argentinean vs Burmese Unemployment
Unemployment MetricArgentineanBurmese
Unemployment
Exceptional
5.1%
Exceptional
4.9%
Males
Exceptional
5.0%
Exceptional
4.9%
Females
Good
5.2%
Exceptional
5.0%
Youth < 25
Good
11.5%
Excellent
11.3%
Age | 16 to 19 years
Poor
18.0%
Exceptional
17.0%
Age | 20 to 24 years
Good
10.2%
Excellent
10.2%
Age | 25 to 29 years
Fair
6.7%
Exceptional
6.2%
Age | 30 to 34 years
Excellent
5.3%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.6%
Exceptional
4.5%
Age | 60 to 64 years
Tragic
5.0%
Excellent
4.8%
Age | 65 to 74 years
Poor
5.4%
Exceptional
5.2%
Seniors > 65
Fair
5.2%
Exceptional
5.0%
Seniors > 75
Exceptional
7.9%
Exceptional
8.2%
Women w/ Children < 6
Exceptional
7.2%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
8.6%
Exceptional
8.0%
Women w/ Children < 18
Good
5.3%
Exceptional
4.9%

Argentinean vs Burmese Labor Participation

When considering labor participation, the most significant differences between Argentinean and Burmese communities in the United States are seen in in labor force | age 16-19 (33.3% compared to 34.5%, a difference of 3.6%), in labor force | age 20-24 (73.1% compared to 73.6%, a difference of 0.70%), and in labor force | age > 16 (65.7% compared to 66.2%, a difference of 0.69%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.6% compared to 84.7%, a difference of 0.060%), in labor force | age 30-34 (85.1% compared to 85.3%, a difference of 0.13%), and in labor force | age 20-64 (80.0% compared to 80.3%, a difference of 0.34%).
Argentinean vs Burmese Labor Participation
Labor Participation MetricArgentineanBurmese
In Labor Force | Age > 16
Exceptional
65.7%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
80.0%
Exceptional
80.3%
In Labor Force | Age 16-19
Tragic
33.3%
Tragic
34.5%
In Labor Force | Age 20-24
Tragic
73.1%
Tragic
73.6%
In Labor Force | Age 25-29
Average
84.7%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.1%
Exceptional
85.3%
In Labor Force | Age 35-44
Excellent
84.6%
Exceptional
84.7%
In Labor Force | Age 45-54
Exceptional
83.3%
Exceptional
83.6%

Argentinean vs Burmese Family Structure

When considering family structure, the most significant differences between Argentinean and Burmese communities in the United States are seen in births to unmarried women (30.0% compared to 26.4%, a difference of 13.7%), divorced or separated (11.9% compared to 10.7%, a difference of 10.8%), and single mother households (5.8% compared to 5.3%, a difference of 10.5%). Conversely, both communities are more comparable in terms of average family size (3.23 compared to 3.22, a difference of 0.32%), family households (65.0% compared to 65.7%, a difference of 1.2%), and family households with children (27.6% compared to 28.5%, a difference of 3.1%).
Argentinean vs Burmese Family Structure
Family Structure MetricArgentineanBurmese
Family Households
Exceptional
65.0%
Exceptional
65.7%
Family Households with Children
Good
27.6%
Exceptional
28.5%
Married-couple Households
Exceptional
47.5%
Exceptional
49.8%
Average Family Size
Average
3.23
Fair
3.22
Single Father Households
Exceptional
2.1%
Exceptional
2.0%
Single Mother Households
Exceptional
5.8%
Exceptional
5.3%
Currently Married
Good
47.1%
Exceptional
48.9%
Divorced or Separated
Excellent
11.9%
Exceptional
10.7%
Births to Unmarried Women
Exceptional
30.0%
Exceptional
26.4%

Argentinean vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Argentinean and Burmese communities in the United States are seen in no vehicles in household (11.2% compared to 9.7%, a difference of 15.7%), 4 or more vehicles in household (6.2% compared to 6.8%, a difference of 10.7%), and 3 or more vehicles in household (18.9% compared to 20.6%, a difference of 9.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.9% compared to 90.4%, a difference of 1.7%), 2 or more vehicles in household (54.5% compared to 57.8%, a difference of 6.1%), and 3 or more vehicles in household (18.9% compared to 20.6%, a difference of 9.0%).
Argentinean vs Burmese Vehicle Availability
Vehicle Availability MetricArgentineanBurmese
No Vehicles Available
Tragic
11.2%
Excellent
9.7%
1+ Vehicles Available
Tragic
88.9%
Excellent
90.4%
2+ Vehicles Available
Poor
54.5%
Exceptional
57.8%
3+ Vehicles Available
Poor
18.9%
Exceptional
20.6%
4+ Vehicles Available
Fair
6.2%
Exceptional
6.8%

Argentinean vs Burmese Education Level

When considering education level, the most significant differences between Argentinean and Burmese communities in the United States are seen in doctorate degree (2.3% compared to 2.6%, a difference of 15.5%), master's degree (18.2% compared to 19.7%, a difference of 8.4%), and bachelor's degree (43.3% compared to 46.9%, a difference of 8.3%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.1%, a difference of 0.12%), kindergarten (97.9% compared to 98.1%, a difference of 0.12%), and 1st grade (97.9% compared to 98.0%, a difference of 0.12%).
Argentinean vs Burmese Education Level
Education Level MetricArgentineanBurmese
No Schooling Completed
Average
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
97.7%
Good
97.9%
4th Grade
Fair
97.5%
Excellent
97.7%
5th Grade
Fair
97.3%
Excellent
97.5%
6th Grade
Fair
97.0%
Excellent
97.3%
7th Grade
Fair
95.9%
Excellent
96.3%
8th Grade
Fair
95.5%
Exceptional
96.1%
9th Grade
Fair
94.8%
Exceptional
95.4%
10th Grade
Average
93.7%
Exceptional
94.5%
11th Grade
Good
92.7%
Exceptional
93.6%
12th Grade, No Diploma
Excellent
91.6%
Exceptional
92.6%
High School Diploma
Good
89.5%
Exceptional
90.8%
GED/Equivalency
Excellent
86.7%
Exceptional
88.3%
College, Under 1 year
Exceptional
68.4%
Exceptional
71.9%
College, 1 year or more
Exceptional
63.2%
Exceptional
66.7%
Associate's Degree
Exceptional
51.2%
Exceptional
54.6%
Bachelor's Degree
Exceptional
43.3%
Exceptional
46.9%
Master's Degree
Exceptional
18.2%
Exceptional
19.7%
Professional Degree
Exceptional
5.9%
Exceptional
6.1%
Doctorate Degree
Exceptional
2.3%
Exceptional
2.6%

Argentinean vs Burmese Disability

When considering disability, the most significant differences between Argentinean and Burmese communities in the United States are seen in vision disability (2.0% compared to 1.8%, a difference of 8.4%), disability age 5 to 17 (5.1% compared to 4.8%, a difference of 6.4%), and disability age under 5 (1.2% compared to 1.1%, a difference of 6.0%). Conversely, both communities are more comparable in terms of cognitive disability (16.6% compared to 16.7%, a difference of 0.40%), disability age over 75 (46.2% compared to 45.9%, a difference of 0.61%), and male disability (10.1% compared to 10.0%, a difference of 1.6%).
Argentinean vs Burmese Disability
Disability MetricArgentineanBurmese
Disability
Exceptional
10.6%
Exceptional
10.4%
Males
Exceptional
10.1%
Exceptional
10.0%
Females
Exceptional
11.0%
Exceptional
10.7%
Age | Under 5 years
Excellent
1.2%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
5.1%
Exceptional
4.8%
Age | 18 to 34 years
Exceptional
5.8%
Exceptional
6.0%
Age | 35 to 64 years
Exceptional
9.4%
Exceptional
9.2%
Age | 65 to 74 years
Exceptional
21.2%
Exceptional
20.6%
Age | Over 75 years
Exceptional
46.2%
Exceptional
45.9%
Vision
Exceptional
2.0%
Exceptional
1.8%
Hearing
Exceptional
2.7%
Exceptional
2.8%
Cognitive
Exceptional
16.6%
Exceptional
16.7%
Ambulatory
Exceptional
5.5%
Exceptional
5.3%
Self-Care
Exceptional
2.3%
Exceptional
2.3%