Burmese vs Australian Community Comparison

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Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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
Australian
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Burmese

Australians

Exceptional
Excellent
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
9,058
SOCIAL INDEX
88.0/ 100
SOCIAL RATING
32nd/ 347
SOCIAL RANK

Australian Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 215,011,733 people shows a weak positive correlation between the proportion of Australians within Burmese communities in the United States with a correlation coefficient (R) of 0.234. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.003% in Australians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 3.1 Australians.
Burmese Integration in Australian Communities

Burmese vs Australian Income

When considering income, the most significant differences between Burmese and Australian communities in the United States are seen in householder income ages 45 - 64 years ($121,444 compared to $113,533, a difference of 7.0%), median household income ($103,145 compared to $96,490, a difference of 6.9%), and householder income over 65 years ($71,139 compared to $66,891, a difference of 6.4%). Conversely, both communities are more comparable in terms of per capita income ($52,005 compared to $52,074, a difference of 0.13%), wage/income gap (28.0% compared to 28.2%, a difference of 0.58%), and householder income under 25 years ($54,800 compared to $53,739, a difference of 2.0%).
Burmese vs Australian Income
Income MetricBurmeseAustralian
Per Capita Income
Exceptional
$52,005
Exceptional
$52,074
Median Family Income
Exceptional
$123,369
Exceptional
$118,440
Median Household Income
Exceptional
$103,145
Exceptional
$96,490
Median Earnings
Exceptional
$54,559
Exceptional
$52,294
Median Male Earnings
Exceptional
$65,236
Exceptional
$62,857
Median Female Earnings
Exceptional
$44,911
Exceptional
$43,308
Householder Age | Under 25 years
Exceptional
$54,800
Exceptional
$53,739
Householder Age | 25 - 44 years
Exceptional
$113,701
Exceptional
$107,912
Householder Age | 45 - 64 years
Exceptional
$121,444
Exceptional
$113,533
Householder Age | Over 65 years
Exceptional
$71,139
Exceptional
$66,891
Wage/Income Gap
Tragic
28.0%
Tragic
28.2%

Burmese vs Australian Poverty

When considering poverty, the most significant differences between Burmese and Australian communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 15.5%, a difference of 17.2%), female poverty among 25-34 year olds (11.2% compared to 12.8%, a difference of 14.1%), and child poverty among girls under 16 (13.0% compared to 14.8%, a difference of 13.7%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.3% compared to 4.3%, a difference of 0.18%), seniors poverty over the age of 65 (10.1% compared to 9.9%, a difference of 1.4%), and single father poverty (15.5% compared to 15.7%, a difference of 1.6%).
Burmese vs Australian Poverty
Poverty MetricBurmeseAustralian
Poverty
Exceptional
10.7%
Exceptional
11.4%
Families
Exceptional
7.3%
Exceptional
7.8%
Males
Exceptional
9.7%
Exceptional
10.4%
Females
Exceptional
11.6%
Exceptional
12.5%
Females 18 to 24 years
Exceptional
18.9%
Tragic
20.8%
Females 25 to 34 years
Exceptional
11.2%
Exceptional
12.8%
Children Under 5 years
Exceptional
13.2%
Exceptional
15.5%
Children Under 16 years
Exceptional
12.8%
Exceptional
14.4%
Boys Under 16 years
Exceptional
13.0%
Exceptional
14.7%
Girls Under 16 years
Exceptional
13.0%
Exceptional
14.8%
Single Males
Exceptional
11.7%
Good
12.6%
Single Females
Exceptional
18.3%
Excellent
20.3%
Single Fathers
Exceptional
15.5%
Exceptional
15.7%
Single Mothers
Exceptional
26.2%
Exceptional
28.3%
Married Couples
Exceptional
4.3%
Exceptional
4.3%
Seniors Over 65 years
Exceptional
10.1%
Exceptional
9.9%
Seniors Over 75 years
Excellent
11.7%
Exceptional
11.5%
Receiving Food Stamps
Exceptional
8.6%
Exceptional
9.6%

Burmese vs Australian Unemployment

When considering unemployment, the most significant differences between Burmese and Australian communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 7.2%, a difference of 11.2%), unemployment among women with children ages 6 to 17 years (8.0% compared to 8.5%, a difference of 7.1%), and unemployment among seniors over 75 years (8.2% compared to 8.7%, a difference of 6.9%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.86%), unemployment among ages 65 to 74 years (5.2% compared to 5.3%, a difference of 0.90%), and unemployment (4.9% compared to 4.9%, a difference of 1.2%).
Burmese vs Australian Unemployment
Unemployment MetricBurmeseAustralian
Unemployment
Exceptional
4.9%
Exceptional
4.9%
Males
Exceptional
4.9%
Exceptional
5.0%
Females
Exceptional
5.0%
Exceptional
4.9%
Youth < 25
Excellent
11.3%
Exceptional
10.9%
Age | 16 to 19 years
Exceptional
17.0%
Excellent
17.2%
Age | 20 to 24 years
Excellent
10.2%
Exceptional
9.6%
Age | 25 to 29 years
Exceptional
6.2%
Exceptional
6.4%
Age | 30 to 34 years
Exceptional
5.1%
Excellent
5.3%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.5%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.5%
Average
4.8%
Age | 60 to 64 years
Excellent
4.8%
Good
4.8%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.3%
Seniors > 65
Exceptional
5.0%
Excellent
5.1%
Seniors > 75
Exceptional
8.2%
Average
8.7%
Women w/ Children < 6
Exceptional
6.5%
Exceptional
7.2%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
8.5%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
5.2%

Burmese vs Australian Labor Participation

When considering labor participation, the most significant differences between Burmese and Australian communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 37.8%, a difference of 9.5%), in labor force | age 20-24 (73.6% compared to 75.5%, a difference of 2.6%), and in labor force | age > 16 (66.2% compared to 65.3%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.3% compared to 85.0%, a difference of 0.25%), in labor force | age 25-29 (85.1% compared to 84.9%, a difference of 0.28%), and in labor force | age 35-44 (84.7% compared to 84.3%, a difference of 0.49%).
Burmese vs Australian Labor Participation
Labor Participation MetricBurmeseAustralian
In Labor Force | Age > 16
Exceptional
66.2%
Good
65.3%
In Labor Force | Age 20-64
Exceptional
80.3%
Average
79.5%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
37.8%
In Labor Force | Age 20-24
Tragic
73.6%
Excellent
75.5%
In Labor Force | Age 25-29
Exceptional
85.1%
Excellent
84.9%
In Labor Force | Age 30-34
Exceptional
85.3%
Exceptional
85.0%
In Labor Force | Age 35-44
Exceptional
84.7%
Fair
84.3%
In Labor Force | Age 45-54
Exceptional
83.6%
Fair
82.5%

Burmese vs Australian Family Structure

When considering family structure, the most significant differences between Burmese and Australian communities in the United States are seen in births to unmarried women (26.4% compared to 29.5%, a difference of 12.0%), divorced or separated (10.7% compared to 11.9%, a difference of 10.9%), and single father households (2.0% compared to 2.2%, a difference of 7.0%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.13, a difference of 2.7%), currently married (48.9% compared to 47.6%, a difference of 2.9%), and family households (65.7% compared to 62.8%, a difference of 4.6%).
Burmese vs Australian Family Structure
Family Structure MetricBurmeseAustralian
Family Households
Exceptional
65.7%
Tragic
62.8%
Family Households with Children
Exceptional
28.5%
Tragic
26.9%
Married-couple Households
Exceptional
49.8%
Excellent
47.4%
Average Family Size
Fair
3.22
Tragic
3.13
Single Father Households
Exceptional
2.0%
Exceptional
2.2%
Single Mother Households
Exceptional
5.3%
Exceptional
5.6%
Currently Married
Exceptional
48.9%
Exceptional
47.6%
Divorced or Separated
Exceptional
10.7%
Excellent
11.9%
Births to Unmarried Women
Exceptional
26.4%
Exceptional
29.5%

Burmese vs Australian Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Australian communities in the United States are seen in no vehicles in household (9.7% compared to 10.1%, a difference of 4.3%), 4 or more vehicles in household (6.8% compared to 6.6%, a difference of 4.1%), and 3 or more vehicles in household (20.6% compared to 20.1%, a difference of 2.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.0%, a difference of 0.44%), 2 or more vehicles in household (57.8% compared to 56.7%, a difference of 2.0%), and 3 or more vehicles in household (20.6% compared to 20.1%, a difference of 2.7%).
Burmese vs Australian Vehicle Availability
Vehicle Availability MetricBurmeseAustralian
No Vehicles Available
Excellent
9.7%
Good
10.1%
1+ Vehicles Available
Excellent
90.4%
Good
90.0%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
56.7%
3+ Vehicles Available
Exceptional
20.6%
Excellent
20.1%
4+ Vehicles Available
Exceptional
6.8%
Excellent
6.6%

Burmese vs Australian Education Level

When considering education level, the most significant differences between Burmese and Australian communities in the United States are seen in no schooling completed (1.9% compared to 1.6%, a difference of 20.5%), doctorate degree (2.6% compared to 2.4%, a difference of 10.0%), and master's degree (19.7% compared to 18.4%, a difference of 7.1%). Conversely, both communities are more comparable in terms of ged/equivalency (88.3% compared to 88.1%, a difference of 0.27%), 12th grade, no diploma (92.6% compared to 92.9%, a difference of 0.29%), and nursery school (98.1% compared to 98.5%, a difference of 0.37%).
Burmese vs Australian Education Level
Education Level MetricBurmeseAustralian
No Schooling Completed
Excellent
1.9%
Exceptional
1.6%
Nursery School
Excellent
98.1%
Exceptional
98.5%
Kindergarten
Excellent
98.1%
Exceptional
98.4%
1st Grade
Excellent
98.0%
Exceptional
98.4%
2nd Grade
Excellent
98.0%
Exceptional
98.4%
3rd Grade
Good
97.9%
Exceptional
98.3%
4th Grade
Excellent
97.7%
Exceptional
98.1%
5th Grade
Excellent
97.5%
Exceptional
98.0%
6th Grade
Excellent
97.3%
Exceptional
97.8%
7th Grade
Excellent
96.3%
Exceptional
97.0%
8th Grade
Exceptional
96.1%
Exceptional
96.7%
9th Grade
Exceptional
95.4%
Exceptional
96.0%
10th Grade
Exceptional
94.5%
Exceptional
95.1%
11th Grade
Exceptional
93.6%
Exceptional
94.1%
12th Grade, No Diploma
Exceptional
92.6%
Exceptional
92.9%
High School Diploma
Exceptional
90.8%
Exceptional
91.2%
GED/Equivalency
Exceptional
88.3%
Exceptional
88.1%
College, Under 1 year
Exceptional
71.9%
Exceptional
70.4%
College, 1 year or more
Exceptional
66.7%
Exceptional
64.6%
Associate's Degree
Exceptional
54.6%
Exceptional
51.9%
Bachelor's Degree
Exceptional
46.9%
Exceptional
44.0%
Master's Degree
Exceptional
19.7%
Exceptional
18.4%
Professional Degree
Exceptional
6.1%
Exceptional
5.9%
Doctorate Degree
Exceptional
2.6%
Exceptional
2.4%

Burmese vs Australian Disability

When considering disability, the most significant differences between Burmese and Australian communities in the United States are seen in disability age under 5 (1.1% compared to 1.4%, a difference of 22.9%), disability age 35 to 64 (9.2% compared to 10.8%, a difference of 16.8%), and disability age 5 to 17 (4.8% compared to 5.5%, a difference of 15.3%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 45.7%, a difference of 0.53%), self-care disability (2.3% compared to 2.3%, a difference of 1.9%), and cognitive disability (16.7% compared to 17.2%, a difference of 3.0%).
Burmese vs Australian Disability
Disability MetricBurmeseAustralian
Disability
Exceptional
10.4%
Excellent
11.5%
Males
Exceptional
10.0%
Average
11.3%
Females
Exceptional
10.7%
Exceptional
11.7%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.4%
Age | 5 to 17 years
Exceptional
4.8%
Good
5.5%
Age | 18 to 34 years
Exceptional
6.0%
Poor
6.8%
Age | 35 to 64 years
Exceptional
9.2%
Exceptional
10.8%
Age | 65 to 74 years
Exceptional
20.6%
Exceptional
22.0%
Age | Over 75 years
Exceptional
45.9%
Exceptional
45.7%
Vision
Exceptional
1.8%
Exceptional
2.1%
Hearing
Exceptional
2.8%
Tragic
3.2%
Cognitive
Exceptional
16.7%
Good
17.2%
Ambulatory
Exceptional
5.3%
Exceptional
5.8%
Self-Care
Exceptional
2.3%
Exceptional
2.3%