Peruvian vs European Community Comparison

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Peruvian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianFijianFilipinoFinnishFrenchFrench 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
European
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

Europeans

Average
Good
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
8,117
SOCIAL INDEX
78.6/ 100
SOCIAL RATING
87th/ 347
SOCIAL RANK

European Integration in Peruvian Communities

The statistical analysis conducted on geographies consisting of 359,559,039 people shows a weak positive correlation between the proportion of Europeans within Peruvian communities in the United States with a correlation coefficient (R) of 0.261. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.149% in Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 149.2 Europeans.
Peruvian Integration in European Communities

Peruvian vs European Income

When considering income, the most significant differences between Peruvian and European communities in the United States are seen in wage/income gap (25.6% compared to 29.4%, a difference of 14.8%), householder income under 25 years ($56,052 compared to $51,796, a difference of 8.2%), and median male earnings ($55,659 compared to $57,637, a difference of 3.5%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($98,886 compared to $98,310, a difference of 0.59%), median earnings ($47,628 compared to $47,915, a difference of 0.60%), and householder income ages 45 - 64 years ($105,070 compared to $106,367, a difference of 1.2%).
Peruvian vs European Income
Income MetricPeruvianEuropean
Per Capita Income
Good
$44,479
Exceptional
$45,836
Median Family Income
Excellent
$105,444
Exceptional
$108,099
Median Household Income
Exceptional
$90,261
Exceptional
$88,751
Median Earnings
Excellent
$47,628
Excellent
$47,915
Median Male Earnings
Good
$55,659
Exceptional
$57,637
Median Female Earnings
Good
$40,234
Fair
$39,457
Householder Age | Under 25 years
Exceptional
$56,052
Fair
$51,796
Householder Age | 25 - 44 years
Exceptional
$98,886
Excellent
$98,310
Householder Age | 45 - 64 years
Exceptional
$105,070
Exceptional
$106,367
Householder Age | Over 65 years
Excellent
$62,766
Exceptional
$63,779
Wage/Income Gap
Good
25.6%
Tragic
29.4%

Peruvian vs European Poverty

When considering poverty, the most significant differences between Peruvian and European communities in the United States are seen in seniors poverty over the age of 65 (11.7% compared to 9.2%, a difference of 27.6%), seniors poverty over the age of 75 (13.4% compared to 10.5%, a difference of 27.2%), and married-couple family poverty (5.3% compared to 4.2%, a difference of 25.4%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (16.0% compared to 15.9%, a difference of 0.67%), female poverty among 25-34 year olds (12.7% compared to 13.2%, a difference of 4.2%), and male poverty (10.7% compared to 10.2%, a difference of 4.3%).
Peruvian vs European Poverty
Poverty MetricPeruvianEuropean
Poverty
Excellent
11.8%
Exceptional
11.3%
Families
Good
8.8%
Exceptional
7.7%
Males
Excellent
10.7%
Exceptional
10.2%
Females
Excellent
12.9%
Exceptional
12.3%
Females 18 to 24 years
Exceptional
17.2%
Poor
20.4%
Females 25 to 34 years
Exceptional
12.7%
Good
13.2%
Children Under 5 years
Exceptional
16.0%
Exceptional
15.9%
Children Under 16 years
Excellent
15.3%
Exceptional
14.3%
Boys Under 16 years
Excellent
15.5%
Exceptional
14.5%
Girls Under 16 years
Exceptional
15.4%
Exceptional
14.6%
Single Males
Exceptional
11.8%
Tragic
13.3%
Single Females
Exceptional
19.4%
Average
21.1%
Single Fathers
Exceptional
15.4%
Poor
16.6%
Single Mothers
Exceptional
27.5%
Average
29.1%
Married Couples
Fair
5.3%
Exceptional
4.2%
Seniors Over 65 years
Tragic
11.7%
Exceptional
9.2%
Seniors Over 75 years
Tragic
13.4%
Exceptional
10.5%
Receiving Food Stamps
Average
11.7%
Exceptional
9.5%

Peruvian vs European Unemployment

When considering unemployment, the most significant differences between Peruvian and European communities in the United States are seen in female unemployment (5.4% compared to 4.7%, a difference of 16.0%), unemployment among women with children under 18 years (5.6% compared to 4.9%, a difference of 15.0%), and unemployment (5.3% compared to 4.6%, a difference of 14.6%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.5%, a difference of 0.64%), unemployment among ages 25 to 29 years (6.6% compared to 6.4%, a difference of 1.9%), and unemployment among ages 30 to 34 years (5.5% compared to 5.2%, a difference of 4.3%).
Peruvian vs European Unemployment
Unemployment MetricPeruvianEuropean
Unemployment
Fair
5.3%
Exceptional
4.6%
Males
Average
5.3%
Exceptional
4.8%
Females
Tragic
5.4%
Exceptional
4.7%
Youth < 25
Poor
11.8%
Exceptional
10.8%
Age | 16 to 19 years
Fair
17.7%
Exceptional
16.1%
Age | 20 to 24 years
Poor
10.5%
Exceptional
9.7%
Age | 25 to 29 years
Good
6.6%
Excellent
6.4%
Age | 30 to 34 years
Average
5.5%
Exceptional
5.2%
Age | 35 to 44 years
Average
4.7%
Exceptional
4.3%
Age | 45 to 54 years
Fair
4.6%
Exceptional
4.1%
Age | 55 to 59 years
Fair
4.8%
Exceptional
4.5%
Age | 60 to 64 years
Tragic
5.0%
Exceptional
4.5%
Age | 65 to 74 years
Tragic
5.5%
Exceptional
5.1%
Seniors > 65
Tragic
5.3%
Exceptional
4.9%
Seniors > 75
Tragic
9.0%
Tragic
9.7%
Women w/ Children < 6
Good
7.5%
Good
7.5%
Women w/ Children 6 to 17
Tragic
9.2%
Exceptional
8.7%
Women w/ Children < 18
Poor
5.6%
Exceptional
4.9%

Peruvian vs European Labor Participation

When considering labor participation, the most significant differences between Peruvian and European communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 41.1%, a difference of 18.9%), in labor force | age 20-24 (74.5% compared to 77.1%, a difference of 3.4%), and in labor force | age > 16 (66.3% compared to 64.7%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.6%, a difference of 0.18%), in labor force | age 30-34 (84.8% compared to 84.3%, a difference of 0.57%), and in labor force | age 35-44 (84.9% compared to 84.1%, a difference of 0.98%).
Peruvian vs European Labor Participation
Labor Participation MetricPeruvianEuropean
In Labor Force | Age > 16
Exceptional
66.3%
Tragic
64.7%
In Labor Force | Age 20-64
Exceptional
80.3%
Poor
79.3%
In Labor Force | Age 16-19
Tragic
34.6%
Exceptional
41.1%
In Labor Force | Age 20-24
Poor
74.5%
Exceptional
77.1%
In Labor Force | Age 25-29
Good
84.7%
Average
84.6%
In Labor Force | Age 30-34
Good
84.8%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
84.9%
Poor
84.1%
In Labor Force | Age 45-54
Exceptional
83.6%
Fair
82.6%

Peruvian vs European Family Structure

When considering family structure, the most significant differences between Peruvian and European communities in the United States are seen in single mother households (6.5% compared to 5.7%, a difference of 14.3%), currently married (46.6% compared to 49.3%, a difference of 5.8%), and average family size (3.30 compared to 3.14, a difference of 5.1%). Conversely, both communities are more comparable in terms of divorced or separated (11.9% compared to 12.2%, a difference of 2.8%), family households (67.1% compared to 65.0%, a difference of 3.2%), and family households with children (29.0% compared to 27.9%, a difference of 3.9%).
Peruvian vs European Family Structure
Family Structure MetricPeruvianEuropean
Family Households
Exceptional
67.1%
Exceptional
65.0%
Family Households with Children
Exceptional
29.0%
Exceptional
27.9%
Married-couple Households
Exceptional
47.6%
Exceptional
49.6%
Average Family Size
Exceptional
3.30
Tragic
3.14
Single Father Households
Fair
2.4%
Excellent
2.3%
Single Mother Households
Fair
6.5%
Exceptional
5.7%
Currently Married
Average
46.6%
Exceptional
49.3%
Divorced or Separated
Excellent
11.9%
Poor
12.2%
Births to Unmarried Women
Average
31.5%
Excellent
30.2%

Peruvian vs European Vehicle Availability

When considering vehicle availability, the most significant differences between Peruvian and European communities in the United States are seen in no vehicles in household (11.2% compared to 7.1%, a difference of 58.0%), 4 or more vehicles in household (6.5% compared to 7.6%, a difference of 17.5%), and 3 or more vehicles in household (19.6% compared to 22.9%, a difference of 16.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 93.0%, a difference of 4.7%), 2 or more vehicles in household (55.0% compared to 61.4%, a difference of 11.6%), and 3 or more vehicles in household (19.6% compared to 22.9%, a difference of 16.4%).
Peruvian vs European Vehicle Availability
Vehicle Availability MetricPeruvianEuropean
No Vehicles Available
Tragic
11.2%
Exceptional
7.1%
1+ Vehicles Available
Tragic
88.8%
Exceptional
93.0%
2+ Vehicles Available
Fair
55.0%
Exceptional
61.4%
3+ Vehicles Available
Average
19.6%
Exceptional
22.9%
4+ Vehicles Available
Good
6.5%
Exceptional
7.6%

Peruvian vs European Education Level

When considering education level, the most significant differences between Peruvian and European communities in the United States are seen in no schooling completed (2.4% compared to 1.5%, a difference of 61.6%), doctorate degree (1.8% compared to 2.1%, a difference of 16.1%), and professional degree (4.5% compared to 4.8%, a difference of 7.0%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.6%, a difference of 0.97%), kindergarten (97.6% compared to 98.6%, a difference of 0.99%), and 1st grade (97.6% compared to 98.5%, a difference of 1.0%).
Peruvian vs European Education Level
Education Level MetricPeruvianEuropean
No Schooling Completed
Tragic
2.4%
Exceptional
1.5%
Nursery School
Tragic
97.6%
Exceptional
98.6%
Kindergarten
Tragic
97.6%
Exceptional
98.6%
1st Grade
Tragic
97.6%
Exceptional
98.5%
2nd Grade
Tragic
97.5%
Exceptional
98.5%
3rd Grade
Tragic
97.4%
Exceptional
98.4%
4th Grade
Tragic
97.1%
Exceptional
98.3%
5th Grade
Tragic
96.8%
Exceptional
98.2%
6th Grade
Tragic
96.4%
Exceptional
98.0%
7th Grade
Tragic
95.1%
Exceptional
97.3%
8th Grade
Tragic
94.7%
Exceptional
97.1%
9th Grade
Tragic
93.8%
Exceptional
96.4%
10th Grade
Tragic
92.6%
Exceptional
95.5%
11th Grade
Tragic
91.5%
Exceptional
94.4%
12th Grade, No Diploma
Tragic
90.2%
Exceptional
93.1%
High School Diploma
Tragic
87.8%
Exceptional
91.4%
GED/Equivalency
Tragic
84.7%
Exceptional
87.9%
College, Under 1 year
Poor
64.1%
Exceptional
68.2%
College, 1 year or more
Fair
58.6%
Exceptional
61.8%
Associate's Degree
Average
46.4%
Excellent
48.2%
Bachelor's Degree
Good
38.3%
Excellent
39.5%
Master's Degree
Good
15.3%
Excellent
15.8%
Professional Degree
Good
4.5%
Exceptional
4.8%
Doctorate Degree
Fair
1.8%
Exceptional
2.1%

Peruvian vs European Disability

When considering disability, the most significant differences between Peruvian and European communities in the United States are seen in hearing disability (2.7% compared to 3.5%, a difference of 28.6%), disability age 18 to 34 (6.0% compared to 7.4%, a difference of 23.9%), and disability age under 5 (1.3% compared to 1.5%, a difference of 21.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.8% compared to 46.7%, a difference of 0.28%), self-care disability (2.4% compared to 2.4%, a difference of 0.96%), and cognitive disability (16.7% compared to 17.0%, a difference of 1.7%).
Peruvian vs European Disability
Disability MetricPeruvianEuropean
Disability
Exceptional
10.9%
Tragic
12.3%
Males
Exceptional
10.4%
Tragic
12.1%
Females
Exceptional
11.3%
Poor
12.4%
Age | Under 5 years
Fair
1.3%
Tragic
1.5%
Age | 5 to 17 years
Exceptional
5.3%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.4%
Age | 35 to 64 years
Exceptional
9.9%
Poor
11.7%
Age | 65 to 74 years
Exceptional
22.2%
Good
23.2%
Age | Over 75 years
Excellent
46.8%
Exceptional
46.7%
Vision
Exceptional
2.1%
Fair
2.2%
Hearing
Exceptional
2.7%
Tragic
3.5%
Cognitive
Exceptional
16.7%
Exceptional
17.0%
Ambulatory
Exceptional
5.7%
Fair
6.2%
Self-Care
Exceptional
2.4%
Exceptional
2.4%