Peruvian vs Austrian Community Comparison

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Peruvian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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
Austrian
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Peruvians

Austrians

Average
Excellent
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
8,605
SOCIAL INDEX
83.5/ 100
SOCIAL RATING
60th/ 347
SOCIAL RANK

Austrian Integration in Peruvian Communities

The statistical analysis conducted on geographies consisting of 326,310,310 people shows a mild positive correlation between the proportion of Austrians within Peruvian communities in the United States with a correlation coefficient (R) of 0.327. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.062% in Austrians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 61.9 Austrians.
Peruvian Integration in Austrian Communities

Peruvian vs Austrian Income

When considering income, the most significant differences between Peruvian and Austrian communities in the United States are seen in wage/income gap (25.6% compared to 28.4%, a difference of 11.0%), per capita income ($44,479 compared to $48,116, a difference of 8.2%), and householder income under 25 years ($56,052 compared to $51,898, a difference of 8.0%). Conversely, both communities are more comparable in terms of median household income ($90,261 compared to $91,339, a difference of 1.2%), median female earnings ($40,234 compared to $40,923, a difference of 1.7%), and householder income over 65 years ($62,766 compared to $64,470, a difference of 2.7%).
Peruvian vs Austrian Income
Income MetricPeruvianAustrian
Per Capita Income
Good
$44,479
Exceptional
$48,116
Median Family Income
Excellent
$105,444
Exceptional
$111,306
Median Household Income
Exceptional
$90,261
Exceptional
$91,339
Median Earnings
Excellent
$47,628
Exceptional
$49,501
Median Male Earnings
Good
$55,659
Exceptional
$59,359
Median Female Earnings
Good
$40,234
Exceptional
$40,923
Householder Age | Under 25 years
Exceptional
$56,052
Fair
$51,898
Householder Age | 25 - 44 years
Exceptional
$98,886
Exceptional
$101,842
Householder Age | 45 - 64 years
Exceptional
$105,070
Exceptional
$108,692
Householder Age | Over 65 years
Excellent
$62,766
Exceptional
$64,470
Wage/Income Gap
Good
25.6%
Tragic
28.4%

Peruvian vs Austrian Poverty

When considering poverty, the most significant differences between Peruvian and Austrian communities in the United States are seen in married-couple family poverty (5.3% compared to 4.3%, a difference of 22.1%), seniors poverty over the age of 65 (11.7% compared to 9.6%, a difference of 21.5%), and seniors poverty over the age of 75 (13.4% compared to 11.0%, a difference of 21.4%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (16.0% compared to 16.1%, a difference of 0.91%), female poverty among 25-34 year olds (12.7% compared to 13.1%, a difference of 3.2%), and child poverty among girls under 16 (15.4% compared to 14.9%, a difference of 3.3%).
Peruvian vs Austrian Poverty
Poverty MetricPeruvianAustrian
Poverty
Excellent
11.8%
Exceptional
11.2%
Families
Good
8.8%
Exceptional
7.8%
Males
Excellent
10.7%
Exceptional
10.1%
Females
Excellent
12.9%
Exceptional
12.2%
Females 18 to 24 years
Exceptional
17.2%
Exceptional
19.5%
Females 25 to 34 years
Exceptional
12.7%
Excellent
13.1%
Children Under 5 years
Exceptional
16.0%
Exceptional
16.1%
Children Under 16 years
Excellent
15.3%
Exceptional
14.5%
Boys Under 16 years
Excellent
15.5%
Exceptional
14.8%
Girls Under 16 years
Exceptional
15.4%
Exceptional
14.9%
Single Males
Exceptional
11.8%
Poor
13.1%
Single Females
Exceptional
19.4%
Excellent
20.4%
Single Fathers
Exceptional
15.4%
Tragic
17.1%
Single Mothers
Exceptional
27.5%
Good
28.7%
Married Couples
Fair
5.3%
Exceptional
4.3%
Seniors Over 65 years
Tragic
11.7%
Exceptional
9.6%
Seniors Over 75 years
Tragic
13.4%
Exceptional
11.0%
Receiving Food Stamps
Average
11.7%
Exceptional
10.0%

Peruvian vs Austrian Unemployment

When considering unemployment, the most significant differences between Peruvian and Austrian communities in the United States are seen in female unemployment (5.4% compared to 4.9%, a difference of 11.8%), unemployment (5.3% compared to 4.8%, a difference of 10.2%), and unemployment among women with children under 18 years (5.6% compared to 5.1%, a difference of 10.0%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.6% compared to 6.5%, a difference of 0.43%), unemployment among ages 30 to 34 years (5.5% compared to 5.4%, a difference of 0.62%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 9.1%, a difference of 1.3%).
Peruvian vs Austrian Unemployment
Unemployment MetricPeruvianAustrian
Unemployment
Fair
5.3%
Exceptional
4.8%
Males
Average
5.3%
Exceptional
4.9%
Females
Tragic
5.4%
Exceptional
4.9%
Youth < 25
Poor
11.8%
Exceptional
11.2%
Age | 16 to 19 years
Fair
17.7%
Exceptional
16.7%
Age | 20 to 24 years
Poor
10.5%
Excellent
10.2%
Age | 25 to 29 years
Good
6.6%
Good
6.5%
Age | 30 to 34 years
Average
5.5%
Average
5.4%
Age | 35 to 44 years
Average
4.7%
Exceptional
4.4%
Age | 45 to 54 years
Fair
4.6%
Exceptional
4.3%
Age | 55 to 59 years
Fair
4.8%
Exceptional
4.7%
Age | 60 to 64 years
Tragic
5.0%
Exceptional
4.8%
Age | 65 to 74 years
Tragic
5.5%
Exceptional
5.2%
Seniors > 65
Tragic
5.3%
Exceptional
5.0%
Seniors > 75
Tragic
9.0%
Tragic
9.3%
Women w/ Children < 6
Good
7.5%
Average
7.7%
Women w/ Children 6 to 17
Tragic
9.2%
Fair
9.1%
Women w/ Children < 18
Poor
5.6%
Exceptional
5.1%

Peruvian vs Austrian Labor Participation

When considering labor participation, the most significant differences between Peruvian and Austrian communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 39.5%, a difference of 14.2%), in labor force | age > 16 (66.3% compared to 64.6%, a difference of 2.6%), and in labor force | age 20-24 (74.5% compared to 76.5%, a difference of 2.6%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.8% compared to 85.0%, a difference of 0.29%), in labor force | age 35-44 (84.9% compared to 84.7%, a difference of 0.31%), and in labor force | age 25-29 (84.7% compared to 85.1%, a difference of 0.44%).
Peruvian vs Austrian Labor Participation
Labor Participation MetricPeruvianAustrian
In Labor Force | Age > 16
Exceptional
66.3%
Tragic
64.6%
In Labor Force | Age 20-64
Exceptional
80.3%
Good
79.7%
In Labor Force | Age 16-19
Tragic
34.6%
Exceptional
39.5%
In Labor Force | Age 20-24
Poor
74.5%
Exceptional
76.5%
In Labor Force | Age 25-29
Good
84.7%
Exceptional
85.1%
In Labor Force | Age 30-34
Good
84.8%
Exceptional
85.0%
In Labor Force | Age 35-44
Exceptional
84.9%
Excellent
84.7%
In Labor Force | Age 45-54
Exceptional
83.6%
Excellent
83.0%

Peruvian vs Austrian Family Structure

When considering family structure, the most significant differences between Peruvian and Austrian communities in the United States are seen in single mother households (6.5% compared to 5.7%, a difference of 13.8%), single father households (2.4% compared to 2.2%, a difference of 7.3%), and family households with children (29.0% compared to 27.1%, a difference of 6.9%). Conversely, both communities are more comparable in terms of divorced or separated (11.9% compared to 12.0%, a difference of 0.43%), births to unmarried women (31.5% compared to 31.0%, a difference of 1.5%), and married-couple households (47.6% compared to 48.6%, a difference of 2.0%).
Peruvian vs Austrian Family Structure
Family Structure MetricPeruvianAustrian
Family Households
Exceptional
67.1%
Good
64.5%
Family Households with Children
Exceptional
29.0%
Tragic
27.1%
Married-couple Households
Exceptional
47.6%
Exceptional
48.6%
Average Family Size
Exceptional
3.30
Tragic
3.14
Single Father Households
Fair
2.4%
Exceptional
2.2%
Single Mother Households
Fair
6.5%
Exceptional
5.7%
Currently Married
Average
46.6%
Exceptional
48.7%
Divorced or Separated
Excellent
11.9%
Good
12.0%
Births to Unmarried Women
Average
31.5%
Good
31.0%

Peruvian vs Austrian Vehicle Availability

When considering vehicle availability, the most significant differences between Peruvian and Austrian communities in the United States are seen in no vehicles in household (11.2% compared to 8.8%, a difference of 27.4%), 2 or more vehicles in household (55.0% compared to 58.4%, a difference of 6.2%), and 3 or more vehicles in household (19.6% compared to 20.9%, a difference of 6.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 91.3%, a difference of 2.8%), 4 or more vehicles in household (6.5% compared to 6.8%, a difference of 4.9%), and 3 or more vehicles in household (19.6% compared to 20.9%, a difference of 6.2%).
Peruvian vs Austrian Vehicle Availability
Vehicle Availability MetricPeruvianAustrian
No Vehicles Available
Tragic
11.2%
Exceptional
8.8%
1+ Vehicles Available
Tragic
88.8%
Exceptional
91.3%
2+ Vehicles Available
Fair
55.0%
Exceptional
58.4%
3+ Vehicles Available
Average
19.6%
Exceptional
20.9%
4+ Vehicles Available
Good
6.5%
Exceptional
6.8%

Peruvian vs Austrian Education Level

When considering education level, the most significant differences between Peruvian and Austrian communities in the United States are seen in no schooling completed (2.4% compared to 1.6%, a difference of 45.1%), doctorate degree (1.8% compared to 2.1%, a difference of 17.1%), and professional degree (4.5% compared to 5.2%, a difference of 14.4%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.4%, a difference of 0.81%), kindergarten (97.6% compared to 98.4%, a difference of 0.82%), and 1st grade (97.6% compared to 98.4%, a difference of 0.83%).
Peruvian vs Austrian Education Level
Education Level MetricPeruvianAustrian
No Schooling Completed
Tragic
2.4%
Exceptional
1.6%
Nursery School
Tragic
97.6%
Exceptional
98.4%
Kindergarten
Tragic
97.6%
Exceptional
98.4%
1st Grade
Tragic
97.6%
Exceptional
98.4%
2nd Grade
Tragic
97.5%
Exceptional
98.3%
3rd Grade
Tragic
97.4%
Exceptional
98.3%
4th Grade
Tragic
97.1%
Exceptional
98.1%
5th Grade
Tragic
96.8%
Exceptional
97.9%
6th Grade
Tragic
96.4%
Exceptional
97.7%
7th Grade
Tragic
95.1%
Exceptional
97.0%
8th Grade
Tragic
94.7%
Exceptional
96.7%
9th Grade
Tragic
93.8%
Exceptional
96.0%
10th Grade
Tragic
92.6%
Exceptional
95.1%
11th Grade
Tragic
91.5%
Exceptional
94.0%
12th Grade, No Diploma
Tragic
90.2%
Exceptional
92.7%
High School Diploma
Tragic
87.8%
Exceptional
91.0%
GED/Equivalency
Tragic
84.7%
Exceptional
87.7%
College, Under 1 year
Poor
64.1%
Exceptional
67.8%
College, 1 year or more
Fair
58.6%
Exceptional
61.8%
Associate's Degree
Average
46.4%
Exceptional
49.1%
Bachelor's Degree
Good
38.3%
Exceptional
40.6%
Master's Degree
Good
15.3%
Exceptional
16.7%
Professional Degree
Good
4.5%
Exceptional
5.2%
Doctorate Degree
Fair
1.8%
Exceptional
2.1%

Peruvian vs Austrian Disability

When considering disability, the most significant differences between Peruvian and Austrian communities in the United States are seen in hearing disability (2.7% compared to 3.4%, a difference of 23.0%), disability age 18 to 34 (6.0% compared to 7.1%, a difference of 18.8%), and disability age under 5 (1.3% compared to 1.4%, a difference of 14.9%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (22.2% compared to 22.4%, a difference of 0.49%), self-care disability (2.4% compared to 2.4%, a difference of 0.55%), and cognitive disability (16.7% compared to 16.6%, a difference of 0.65%).
Peruvian vs Austrian Disability
Disability MetricPeruvianAustrian
Disability
Exceptional
10.9%
Tragic
12.0%
Males
Exceptional
10.4%
Tragic
11.8%
Females
Exceptional
11.3%
Fair
12.3%
Age | Under 5 years
Fair
1.3%
Tragic
1.4%
Age | 5 to 17 years
Exceptional
5.3%
Poor
5.7%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.1%
Age | 35 to 64 years
Exceptional
9.9%
Good
11.1%
Age | 65 to 74 years
Exceptional
22.2%
Exceptional
22.4%
Age | Over 75 years
Excellent
46.8%
Exceptional
46.0%
Vision
Exceptional
2.1%
Good
2.1%
Hearing
Exceptional
2.7%
Tragic
3.4%
Cognitive
Exceptional
16.7%
Exceptional
16.6%
Ambulatory
Exceptional
5.7%
Average
6.1%
Self-Care
Exceptional
2.4%
Excellent
2.4%