Australian vs Peruvian 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 GermanPimaPolishPortuguesePotawatomiPuebloPuerto 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
Peruvian
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

Peruvians

Excellent
Average
9,058
SOCIAL INDEX
88.0/ 100
SOCIAL RATING
32nd/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK

Peruvian Integration in Australian Communities

The statistical analysis conducted on geographies consisting of 189,932,051 people shows a moderate positive correlation between the proportion of Peruvians within Australian communities in the United States with a correlation coefficient (R) of 0.444. On average, for every 1% (one percent) increase in Australians within a typical geography, there is an increase of 0.090% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Australians corresponds to an increase of 89.5 Peruvians.
Australian Integration in Peruvian Communities

Australian vs Peruvian Income

When considering income, the most significant differences between Australian and Peruvian communities in the United States are seen in per capita income ($52,074 compared to $44,479, a difference of 17.1%), median male earnings ($62,857 compared to $55,659, a difference of 12.9%), and median family income ($118,440 compared to $105,444, a difference of 12.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,739 compared to $56,052, a difference of 4.3%), householder income over 65 years ($66,891 compared to $62,766, a difference of 6.6%), and median household income ($96,490 compared to $90,261, a difference of 6.9%).
Australian vs Peruvian Income
Income MetricAustralianPeruvian
Per Capita Income
Exceptional
$52,074
Good
$44,479
Median Family Income
Exceptional
$118,440
Excellent
$105,444
Median Household Income
Exceptional
$96,490
Exceptional
$90,261
Median Earnings
Exceptional
$52,294
Excellent
$47,628
Median Male Earnings
Exceptional
$62,857
Good
$55,659
Median Female Earnings
Exceptional
$43,308
Good
$40,234
Householder Age | Under 25 years
Exceptional
$53,739
Exceptional
$56,052
Householder Age | 25 - 44 years
Exceptional
$107,912
Exceptional
$98,886
Householder Age | 45 - 64 years
Exceptional
$113,533
Exceptional
$105,070
Householder Age | Over 65 years
Exceptional
$66,891
Excellent
$62,766
Wage/Income Gap
Tragic
28.2%
Good
25.6%

Australian vs Peruvian Poverty

When considering poverty, the most significant differences between Australian and Peruvian communities in the United States are seen in married-couple family poverty (4.3% compared to 5.3%, a difference of 22.8%), receiving food stamps (9.6% compared to 11.7%, a difference of 22.1%), and female poverty among 18-24 year olds (20.8% compared to 17.2%, a difference of 20.6%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (12.8% compared to 12.7%, a difference of 0.67%), single father poverty (15.7% compared to 15.4%, a difference of 1.9%), and male poverty (10.4% compared to 10.7%, a difference of 2.4%).
Australian vs Peruvian Poverty
Poverty MetricAustralianPeruvian
Poverty
Exceptional
11.4%
Excellent
11.8%
Families
Exceptional
7.8%
Good
8.8%
Males
Exceptional
10.4%
Excellent
10.7%
Females
Exceptional
12.5%
Excellent
12.9%
Females 18 to 24 years
Tragic
20.8%
Exceptional
17.2%
Females 25 to 34 years
Exceptional
12.8%
Exceptional
12.7%
Children Under 5 years
Exceptional
15.5%
Exceptional
16.0%
Children Under 16 years
Exceptional
14.4%
Excellent
15.3%
Boys Under 16 years
Exceptional
14.7%
Excellent
15.5%
Girls Under 16 years
Exceptional
14.8%
Exceptional
15.4%
Single Males
Good
12.6%
Exceptional
11.8%
Single Females
Excellent
20.3%
Exceptional
19.4%
Single Fathers
Exceptional
15.7%
Exceptional
15.4%
Single Mothers
Exceptional
28.3%
Exceptional
27.5%
Married Couples
Exceptional
4.3%
Fair
5.3%
Seniors Over 65 years
Exceptional
9.9%
Tragic
11.7%
Seniors Over 75 years
Exceptional
11.5%
Tragic
13.4%
Receiving Food Stamps
Exceptional
9.6%
Average
11.7%

Australian vs Peruvian Unemployment

When considering unemployment, the most significant differences between Australian and Peruvian communities in the United States are seen in female unemployment (4.9% compared to 5.4%, a difference of 11.4%), unemployment among ages 20 to 24 years (9.6% compared to 10.5%, a difference of 9.5%), and unemployment (4.9% compared to 5.3%, a difference of 9.4%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.8% compared to 4.8%, a difference of 0.48%), unemployment among ages 16 to 19 years (17.2% compared to 17.7%, a difference of 2.7%), and unemployment among ages 30 to 34 years (5.3% compared to 5.5%, a difference of 2.8%).
Australian vs Peruvian Unemployment
Unemployment MetricAustralianPeruvian
Unemployment
Exceptional
4.9%
Fair
5.3%
Males
Exceptional
5.0%
Average
5.3%
Females
Exceptional
4.9%
Tragic
5.4%
Youth < 25
Exceptional
10.9%
Poor
11.8%
Age | 16 to 19 years
Excellent
17.2%
Fair
17.7%
Age | 20 to 24 years
Exceptional
9.6%
Poor
10.5%
Age | 25 to 29 years
Exceptional
6.4%
Good
6.6%
Age | 30 to 34 years
Excellent
5.3%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.5%
Average
4.7%
Age | 45 to 54 years
Exceptional
4.3%
Fair
4.6%
Age | 55 to 59 years
Average
4.8%
Fair
4.8%
Age | 60 to 64 years
Good
4.8%
Tragic
5.0%
Age | 65 to 74 years
Exceptional
5.3%
Tragic
5.5%
Seniors > 65
Excellent
5.1%
Tragic
5.3%
Seniors > 75
Average
8.7%
Tragic
9.0%
Women w/ Children < 6
Exceptional
7.2%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.5%
Tragic
9.2%
Women w/ Children < 18
Exceptional
5.2%
Poor
5.6%

Australian vs Peruvian Labor Participation

When considering labor participation, the most significant differences between Australian and Peruvian communities in the United States are seen in in labor force | age 16-19 (37.8% compared to 34.6%, a difference of 9.2%), in labor force | age > 16 (65.3% compared to 66.3%, a difference of 1.5%), and in labor force | age 20-24 (75.5% compared to 74.5%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.9% compared to 84.7%, a difference of 0.19%), in labor force | age 30-34 (85.0% compared to 84.8%, a difference of 0.31%), and in labor force | age 35-44 (84.3% compared to 84.9%, a difference of 0.76%).
Australian vs Peruvian Labor Participation
Labor Participation MetricAustralianPeruvian
In Labor Force | Age > 16
Good
65.3%
Exceptional
66.3%
In Labor Force | Age 20-64
Average
79.5%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
37.8%
Tragic
34.6%
In Labor Force | Age 20-24
Excellent
75.5%
Poor
74.5%
In Labor Force | Age 25-29
Excellent
84.9%
Good
84.7%
In Labor Force | Age 30-34
Exceptional
85.0%
Good
84.8%
In Labor Force | Age 35-44
Fair
84.3%
Exceptional
84.9%
In Labor Force | Age 45-54
Fair
82.5%
Exceptional
83.6%

Australian vs Peruvian Family Structure

When considering family structure, the most significant differences between Australian and Peruvian communities in the United States are seen in single mother households (5.6% compared to 6.5%, a difference of 17.3%), single father households (2.2% compared to 2.4%, a difference of 9.4%), and family households with children (26.9% compared to 29.0%, a difference of 7.7%). Conversely, both communities are more comparable in terms of divorced or separated (11.9% compared to 11.9%, a difference of 0.17%), married-couple households (47.4% compared to 47.6%, a difference of 0.59%), and currently married (47.6% compared to 46.6%, a difference of 2.0%).
Australian vs Peruvian Family Structure
Family Structure MetricAustralianPeruvian
Family Households
Tragic
62.8%
Exceptional
67.1%
Family Households with Children
Tragic
26.9%
Exceptional
29.0%
Married-couple Households
Excellent
47.4%
Exceptional
47.6%
Average Family Size
Tragic
3.13
Exceptional
3.30
Single Father Households
Exceptional
2.2%
Fair
2.4%
Single Mother Households
Exceptional
5.6%
Fair
6.5%
Currently Married
Exceptional
47.6%
Average
46.6%
Divorced or Separated
Excellent
11.9%
Excellent
11.9%
Births to Unmarried Women
Exceptional
29.5%
Average
31.5%

Australian vs Peruvian Vehicle Availability

When considering vehicle availability, the most significant differences between Australian and Peruvian communities in the United States are seen in no vehicles in household (10.1% compared to 11.2%, a difference of 11.4%), 2 or more vehicles in household (56.7% compared to 55.0%, a difference of 3.1%), and 3 or more vehicles in household (20.1% compared to 19.6%, a difference of 2.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 88.8%, a difference of 1.3%), 4 or more vehicles in household (6.6% compared to 6.5%, a difference of 1.5%), and 3 or more vehicles in household (20.1% compared to 19.6%, a difference of 2.4%).
Australian vs Peruvian Vehicle Availability
Vehicle Availability MetricAustralianPeruvian
No Vehicles Available
Good
10.1%
Tragic
11.2%
1+ Vehicles Available
Good
90.0%
Tragic
88.8%
2+ Vehicles Available
Exceptional
56.7%
Fair
55.0%
3+ Vehicles Available
Excellent
20.1%
Average
19.6%
4+ Vehicles Available
Excellent
6.6%
Good
6.5%

Australian vs Peruvian Education Level

When considering education level, the most significant differences between Australian and Peruvian communities in the United States are seen in no schooling completed (1.6% compared to 2.4%, a difference of 47.7%), doctorate degree (2.4% compared to 1.8%, a difference of 33.5%), and professional degree (5.9% compared to 4.5%, a difference of 30.6%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 97.6%, a difference of 0.83%), kindergarten (98.4% compared to 97.6%, a difference of 0.84%), and 1st grade (98.4% compared to 97.6%, a difference of 0.85%).
Australian vs Peruvian Education Level
Education Level MetricAustralianPeruvian
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
96.8%
6th Grade
Exceptional
97.8%
Tragic
96.4%
7th Grade
Exceptional
97.0%
Tragic
95.1%
8th Grade
Exceptional
96.7%
Tragic
94.7%
9th Grade
Exceptional
96.0%
Tragic
93.8%
10th Grade
Exceptional
95.1%
Tragic
92.6%
11th Grade
Exceptional
94.1%
Tragic
91.5%
12th Grade, No Diploma
Exceptional
92.9%
Tragic
90.2%
High School Diploma
Exceptional
91.2%
Tragic
87.8%
GED/Equivalency
Exceptional
88.1%
Tragic
84.7%
College, Under 1 year
Exceptional
70.4%
Poor
64.1%
College, 1 year or more
Exceptional
64.6%
Fair
58.6%
Associate's Degree
Exceptional
51.9%
Average
46.4%
Bachelor's Degree
Exceptional
44.0%
Good
38.3%
Master's Degree
Exceptional
18.4%
Good
15.3%
Professional Degree
Exceptional
5.9%
Good
4.5%
Doctorate Degree
Exceptional
2.4%
Fair
1.8%

Australian vs Peruvian Disability

When considering disability, the most significant differences between Australian and Peruvian communities in the United States are seen in hearing disability (3.2% compared to 2.7%, a difference of 15.9%), disability age 18 to 34 (6.8% compared to 6.0%, a difference of 13.2%), and disability age under 5 (1.4% compared to 1.3%, a difference of 10.0%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 0.78%), disability age 65 to 74 (22.0% compared to 22.2%, a difference of 1.0%), and ambulatory disability (5.8% compared to 5.7%, a difference of 1.3%).
Australian vs Peruvian Disability
Disability MetricAustralianPeruvian
Disability
Excellent
11.5%
Exceptional
10.9%
Males
Average
11.3%
Exceptional
10.4%
Females
Exceptional
11.7%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.4%
Fair
1.3%
Age | 5 to 17 years
Good
5.5%
Exceptional
5.3%
Age | 18 to 34 years
Poor
6.8%
Exceptional
6.0%
Age | 35 to 64 years
Exceptional
10.8%
Exceptional
9.9%
Age | 65 to 74 years
Exceptional
22.0%
Exceptional
22.2%
Age | Over 75 years
Exceptional
45.7%
Excellent
46.8%
Vision
Exceptional
2.1%
Exceptional
2.1%
Hearing
Tragic
3.2%
Exceptional
2.7%
Cognitive
Good
17.2%
Exceptional
16.7%
Ambulatory
Exceptional
5.8%
Exceptional
5.7%
Self-Care
Exceptional
2.3%
Exceptional
2.4%