Australian vs Asian Community Comparison

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Australian
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
Asian
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Australians

Asians

Excellent
Excellent
9,058
SOCIAL INDEX
88.0/ 100
SOCIAL RATING
32nd/ 347
SOCIAL RANK
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK

Asian Integration in Australian Communities

The statistical analysis conducted on geographies consisting of 223,290,127 people shows a weak negative correlation between the proportion of Asians within Australian communities in the United States with a correlation coefficient (R) of -0.223. On average, for every 1% (one percent) increase in Australians within a typical geography, there is a decrease of 0.670% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Australians corresponds to a decrease of 670.0 Asians.
Australian Integration in Asian Communities

Australian vs Asian Income

When considering income, the most significant differences between Australian and Asian communities in the United States are seen in householder income under 25 years ($53,739 compared to $57,003, a difference of 6.1%), median household income ($96,490 compared to $101,681, a difference of 5.4%), and wage/income gap (28.2% compared to 26.9%, a difference of 4.6%). Conversely, both communities are more comparable in terms of median family income ($118,440 compared to $119,955, a difference of 1.3%), median male earnings ($62,857 compared to $63,827, a difference of 1.5%), and median earnings ($52,294 compared to $53,690, a difference of 2.7%).
Australian vs Asian Income
Income MetricAustralianAsian
Per Capita Income
Exceptional
$52,074
Exceptional
$50,057
Median Family Income
Exceptional
$118,440
Exceptional
$119,955
Median Household Income
Exceptional
$96,490
Exceptional
$101,681
Median Earnings
Exceptional
$52,294
Exceptional
$53,690
Median Male Earnings
Exceptional
$62,857
Exceptional
$63,827
Median Female Earnings
Exceptional
$43,308
Exceptional
$44,586
Householder Age | Under 25 years
Exceptional
$53,739
Exceptional
$57,003
Householder Age | 25 - 44 years
Exceptional
$107,912
Exceptional
$112,666
Householder Age | 45 - 64 years
Exceptional
$113,533
Exceptional
$118,426
Householder Age | Over 65 years
Exceptional
$66,891
Exceptional
$68,822
Wage/Income Gap
Tragic
28.2%
Tragic
26.9%

Australian vs Asian Poverty

When considering poverty, the most significant differences between Australian and Asian communities in the United States are seen in female poverty among 18-24 year olds (20.8% compared to 18.2%, a difference of 14.2%), single male poverty (12.6% compared to 11.2%, a difference of 12.9%), and female poverty among 25-34 year olds (12.8% compared to 11.4%, a difference of 11.8%). Conversely, both communities are more comparable in terms of receiving food stamps (9.6% compared to 9.7%, a difference of 0.62%), family poverty (7.8% compared to 7.7%, a difference of 1.2%), and male poverty (10.4% compared to 10.0%, a difference of 4.0%).
Australian vs Asian Poverty
Poverty MetricAustralianAsian
Poverty
Exceptional
11.4%
Exceptional
11.0%
Families
Exceptional
7.8%
Exceptional
7.7%
Males
Exceptional
10.4%
Exceptional
10.0%
Females
Exceptional
12.5%
Exceptional
11.9%
Females 18 to 24 years
Tragic
20.8%
Exceptional
18.2%
Females 25 to 34 years
Exceptional
12.8%
Exceptional
11.4%
Children Under 5 years
Exceptional
15.5%
Exceptional
14.0%
Children Under 16 years
Exceptional
14.4%
Exceptional
13.5%
Boys Under 16 years
Exceptional
14.7%
Exceptional
13.5%
Girls Under 16 years
Exceptional
14.8%
Exceptional
13.7%
Single Males
Good
12.6%
Exceptional
11.2%
Single Females
Excellent
20.3%
Exceptional
18.3%
Single Fathers
Exceptional
15.7%
Exceptional
14.6%
Single Mothers
Exceptional
28.3%
Exceptional
26.0%
Married Couples
Exceptional
4.3%
Exceptional
4.7%
Seniors Over 65 years
Exceptional
9.9%
Excellent
10.4%
Seniors Over 75 years
Exceptional
11.5%
Good
12.0%
Receiving Food Stamps
Exceptional
9.6%
Exceptional
9.7%

Australian vs Asian Unemployment

When considering unemployment, the most significant differences between Australian and Asian communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 6.7%, a difference of 8.0%), unemployment among women with children ages 6 to 17 years (8.5% compared to 8.0%, a difference of 7.1%), and unemployment among ages 20 to 24 years (9.6% compared to 10.2%, a difference of 6.7%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 0.060%), unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.11%), and unemployment among ages 45 to 54 years (4.3% compared to 4.3%, a difference of 0.27%).
Australian vs Asian Unemployment
Unemployment MetricAustralianAsian
Unemployment
Exceptional
4.9%
Excellent
5.1%
Males
Exceptional
5.0%
Exceptional
5.1%
Females
Exceptional
4.9%
Good
5.2%
Youth < 25
Exceptional
10.9%
Good
11.4%
Age | 16 to 19 years
Excellent
17.2%
Exceptional
16.9%
Age | 20 to 24 years
Exceptional
9.6%
Good
10.2%
Age | 25 to 29 years
Exceptional
6.4%
Exceptional
6.3%
Age | 30 to 34 years
Excellent
5.3%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.5%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.3%
Age | 55 to 59 years
Average
4.8%
Exceptional
4.7%
Age | 60 to 64 years
Good
4.8%
Average
4.9%
Age | 65 to 74 years
Exceptional
5.3%
Exceptional
5.3%
Seniors > 65
Excellent
5.1%
Excellent
5.1%
Seniors > 75
Average
8.7%
Exceptional
8.3%
Women w/ Children < 6
Exceptional
7.2%
Exceptional
6.7%
Women w/ Children 6 to 17
Exceptional
8.5%
Exceptional
8.0%
Women w/ Children < 18
Exceptional
5.2%
Exceptional
5.1%

Australian vs Asian Labor Participation

When considering labor participation, the most significant differences between Australian and Asian communities in the United States are seen in in labor force | age 16-19 (37.8% compared to 34.1%, a difference of 10.9%), in labor force | age 20-24 (75.5% compared to 73.7%, a difference of 2.5%), and in labor force | age > 16 (65.3% compared to 66.2%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.0% compared to 85.1%, a difference of 0.040%), in labor force | age 25-29 (84.9% compared to 84.8%, a difference of 0.070%), and in labor force | age 35-44 (84.3% compared to 84.7%, a difference of 0.47%).
Australian vs Asian Labor Participation
Labor Participation MetricAustralianAsian
In Labor Force | Age > 16
Good
65.3%
Exceptional
66.2%
In Labor Force | Age 20-64
Average
79.5%
Exceptional
80.2%
In Labor Force | Age 16-19
Exceptional
37.8%
Tragic
34.1%
In Labor Force | Age 20-24
Excellent
75.5%
Tragic
73.7%
In Labor Force | Age 25-29
Excellent
84.9%
Good
84.8%
In Labor Force | Age 30-34
Exceptional
85.0%
Exceptional
85.1%
In Labor Force | Age 35-44
Fair
84.3%
Exceptional
84.7%
In Labor Force | Age 45-54
Fair
82.5%
Exceptional
83.4%

Australian vs Asian Family Structure

When considering family structure, the most significant differences between Australian and Asian communities in the United States are seen in divorced or separated (11.9% compared to 10.6%, a difference of 11.8%), births to unmarried women (29.5% compared to 26.8%, a difference of 10.3%), and family households with children (26.9% compared to 29.1%, a difference of 8.0%). Conversely, both communities are more comparable in terms of single mother households (5.6% compared to 5.6%, a difference of 0.37%), currently married (47.6% compared to 48.4%, a difference of 1.7%), and single father households (2.2% compared to 2.1%, a difference of 3.6%).
Australian vs Asian Family Structure
Family Structure MetricAustralianAsian
Family Households
Tragic
62.8%
Exceptional
66.5%
Family Households with Children
Tragic
26.9%
Exceptional
29.1%
Married-couple Households
Excellent
47.4%
Exceptional
49.5%
Average Family Size
Tragic
3.13
Exceptional
3.28
Single Father Households
Exceptional
2.2%
Exceptional
2.1%
Single Mother Households
Exceptional
5.6%
Exceptional
5.6%
Currently Married
Exceptional
47.6%
Exceptional
48.4%
Divorced or Separated
Excellent
11.9%
Exceptional
10.6%
Births to Unmarried Women
Exceptional
29.5%
Exceptional
26.8%

Australian vs Asian Vehicle Availability

When considering vehicle availability, the most significant differences between Australian and Asian communities in the United States are seen in no vehicles in household (10.1% compared to 9.0%, a difference of 12.5%), 4 or more vehicles in household (6.6% compared to 7.0%, a difference of 7.0%), and 3 or more vehicles in household (20.1% compared to 20.8%, a difference of 3.3%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (56.7% compared to 57.0%, a difference of 0.54%), 1 or more vehicles in household (90.0% compared to 91.1%, a difference of 1.2%), and 3 or more vehicles in household (20.1% compared to 20.8%, a difference of 3.3%).
Australian vs Asian Vehicle Availability
Vehicle Availability MetricAustralianAsian
No Vehicles Available
Good
10.1%
Exceptional
9.0%
1+ Vehicles Available
Good
90.0%
Exceptional
91.1%
2+ Vehicles Available
Exceptional
56.7%
Exceptional
57.0%
3+ Vehicles Available
Excellent
20.1%
Exceptional
20.8%
4+ Vehicles Available
Excellent
6.6%
Exceptional
7.0%

Australian vs Asian Education Level

When considering education level, the most significant differences between Australian and Asian communities in the United States are seen in no schooling completed (1.6% compared to 2.4%, a difference of 48.3%), professional degree (5.9% compared to 5.5%, a difference of 6.9%), and high school diploma (91.2% compared to 89.4%, a difference of 2.0%). Conversely, both communities are more comparable in terms of master's degree (18.4% compared to 18.4%, a difference of 0.27%), associate's degree (51.9% compared to 52.1%, a difference of 0.45%), and college, 1 year or more (64.6% compared to 64.2%, a difference of 0.62%).
Australian vs Asian Education Level
Education Level MetricAustralianAsian
No Schooling Completed
Exceptional
1.6%
Tragic
2.4%
Nursery School
Exceptional
98.5%
Tragic
97.6%
Kindergarten
Exceptional
98.4%
Tragic
97.6%
1st Grade
Exceptional
98.4%
Tragic
97.6%
2nd Grade
Exceptional
98.4%
Tragic
97.5%
3rd Grade
Exceptional
98.3%
Tragic
97.4%
4th Grade
Exceptional
98.1%
Tragic
97.1%
5th Grade
Exceptional
98.0%
Tragic
96.9%
6th Grade
Exceptional
97.8%
Tragic
96.6%
7th Grade
Exceptional
97.0%
Tragic
95.5%
8th Grade
Exceptional
96.7%
Tragic
95.2%
9th Grade
Exceptional
96.0%
Tragic
94.5%
10th Grade
Exceptional
95.1%
Fair
93.5%
11th Grade
Exceptional
94.1%
Average
92.5%
12th Grade, No Diploma
Exceptional
92.9%
Good
91.4%
High School Diploma
Exceptional
91.2%
Good
89.4%
GED/Equivalency
Exceptional
88.1%
Exceptional
86.7%
College, Under 1 year
Exceptional
70.4%
Exceptional
69.4%
College, 1 year or more
Exceptional
64.6%
Exceptional
64.2%
Associate's Degree
Exceptional
51.9%
Exceptional
52.1%
Bachelor's Degree
Exceptional
44.0%
Exceptional
44.4%
Master's Degree
Exceptional
18.4%
Exceptional
18.4%
Professional Degree
Exceptional
5.9%
Exceptional
5.5%
Doctorate Degree
Exceptional
2.4%
Exceptional
2.4%

Australian vs Asian Disability

When considering disability, the most significant differences between Australian and Asian communities in the United States are seen in disability age under 5 (1.4% compared to 1.1%, a difference of 27.2%), disability age 18 to 34 (6.8% compared to 5.8%, a difference of 16.0%), and hearing disability (3.2% compared to 2.7%, a difference of 15.6%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 1.1%), cognitive disability (17.2% compared to 16.7%, a difference of 2.5%), and disability age over 75 (45.7% compared to 46.9%, a difference of 2.8%).
Australian vs Asian Disability
Disability MetricAustralianAsian
Disability
Excellent
11.5%
Exceptional
10.4%
Males
Average
11.3%
Exceptional
10.0%
Females
Exceptional
11.7%
Exceptional
10.9%
Age | Under 5 years
Tragic
1.4%
Exceptional
1.1%
Age | 5 to 17 years
Good
5.5%
Exceptional
4.8%
Age | 18 to 34 years
Poor
6.8%
Exceptional
5.8%
Age | 35 to 64 years
Exceptional
10.8%
Exceptional
9.4%
Age | 65 to 74 years
Exceptional
22.0%
Exceptional
21.4%
Age | Over 75 years
Exceptional
45.7%
Excellent
46.9%
Vision
Exceptional
2.1%
Exceptional
1.9%
Hearing
Tragic
3.2%
Exceptional
2.7%
Cognitive
Good
17.2%
Exceptional
16.7%
Ambulatory
Exceptional
5.8%
Exceptional
5.4%
Self-Care
Exceptional
2.3%
Exceptional
2.3%