White/Caucasian vs Peruvian Community Comparison

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White/Caucasian
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/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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Whites/Caucasians

Peruvians

Average
Average
5,140
SOCIAL INDEX
48.9/ 100
SOCIAL RATING
185th/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK

Peruvian Integration in White/Caucasian Communities

The statistical analysis conducted on geographies consisting of 362,581,013 people shows a slight negative correlation between the proportion of Peruvians within White/Caucasian communities in the United States with a correlation coefficient (R) of -0.089. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is a decrease of 0.001% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to a decrease of 0.6 Peruvians.
White/Caucasian Integration in Peruvian Communities

White/Caucasian vs Peruvian Income

When considering income, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in wage/income gap (28.5% compared to 25.6%, a difference of 11.4%), householder income under 25 years ($50,336 compared to $56,052, a difference of 11.4%), and median household income ($82,029 compared to $90,261, a difference of 10.0%). Conversely, both communities are more comparable in terms of median male earnings ($53,925 compared to $55,659, a difference of 3.2%), median earnings ($45,197 compared to $47,628, a difference of 5.4%), and per capita income ($42,180 compared to $44,479, a difference of 5.4%).
White/Caucasian vs Peruvian Income
Income MetricWhite/CaucasianPeruvian
Per Capita Income
Poor
$42,180
Good
$44,479
Median Family Income
Poor
$99,800
Excellent
$105,444
Median Household Income
Poor
$82,029
Exceptional
$90,261
Median Earnings
Poor
$45,197
Excellent
$47,628
Median Male Earnings
Fair
$53,925
Good
$55,659
Median Female Earnings
Tragic
$37,531
Good
$40,234
Householder Age | Under 25 years
Tragic
$50,336
Exceptional
$56,052
Householder Age | 25 - 44 years
Poor
$91,668
Exceptional
$98,886
Householder Age | 45 - 64 years
Fair
$98,091
Exceptional
$105,070
Householder Age | Over 65 years
Tragic
$58,847
Excellent
$62,766
Wage/Income Gap
Tragic
28.5%
Good
25.6%

White/Caucasian vs Peruvian Poverty

When considering poverty, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in single male poverty (14.5% compared to 11.8%, a difference of 23.0%), female poverty among 18-24 year olds (20.8% compared to 17.2%, a difference of 20.6%), and single father poverty (18.4% compared to 15.4%, a difference of 19.0%). Conversely, both communities are more comparable in terms of family poverty (8.8% compared to 8.8%, a difference of 0.16%), female poverty (13.4% compared to 12.9%, a difference of 3.9%), and poverty (12.3% compared to 11.8%, a difference of 4.0%).
White/Caucasian vs Peruvian Poverty
Poverty MetricWhite/CaucasianPeruvian
Poverty
Average
12.3%
Excellent
11.8%
Families
Good
8.8%
Good
8.8%
Males
Average
11.1%
Excellent
10.7%
Females
Average
13.4%
Excellent
12.9%
Females 18 to 24 years
Tragic
20.8%
Exceptional
17.2%
Females 25 to 34 years
Tragic
14.7%
Exceptional
12.7%
Children Under 5 years
Poor
18.1%
Exceptional
16.0%
Children Under 16 years
Average
16.2%
Excellent
15.3%
Boys Under 16 years
Average
16.5%
Excellent
15.5%
Girls Under 16 years
Average
16.6%
Exceptional
15.4%
Single Males
Tragic
14.5%
Exceptional
11.8%
Single Females
Tragic
22.7%
Exceptional
19.4%
Single Fathers
Tragic
18.4%
Exceptional
15.4%
Single Mothers
Tragic
31.2%
Exceptional
27.5%
Married Couples
Exceptional
4.8%
Fair
5.3%
Seniors Over 65 years
Exceptional
10.0%
Tragic
11.7%
Seniors Over 75 years
Exceptional
11.4%
Tragic
13.4%
Receiving Food Stamps
Excellent
11.1%
Average
11.7%

White/Caucasian vs Peruvian Unemployment

When considering unemployment, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 9.0%, a difference of 11.3%), unemployment among women with children under 6 years (8.4% compared to 7.5%, a difference of 11.2%), and female unemployment (4.9% compared to 5.4%, a difference of 11.1%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.6% compared to 4.7%, a difference of 0.78%), unemployment among ages 55 to 59 years (4.7% compared to 4.8%, a difference of 2.9%), and unemployment among ages 20 to 24 years (10.1% compared to 10.5%, a difference of 3.3%).
White/Caucasian vs Peruvian Unemployment
Unemployment MetricWhite/CaucasianPeruvian
Unemployment
Exceptional
4.9%
Fair
5.3%
Males
Exceptional
5.0%
Average
5.3%
Females
Exceptional
4.9%
Tragic
5.4%
Youth < 25
Exceptional
11.2%
Poor
11.8%
Age | 16 to 19 years
Exceptional
16.8%
Fair
17.7%
Age | 20 to 24 years
Excellent
10.1%
Poor
10.5%
Age | 25 to 29 years
Poor
6.9%
Good
6.6%
Age | 30 to 34 years
Tragic
5.7%
Average
5.5%
Age | 35 to 44 years
Good
4.6%
Average
4.7%
Age | 45 to 54 years
Exceptional
4.3%
Fair
4.6%
Age | 55 to 59 years
Exceptional
4.7%
Fair
4.8%
Age | 60 to 64 years
Exceptional
4.7%
Tragic
5.0%
Age | 65 to 74 years
Average
5.4%
Tragic
5.5%
Seniors > 65
Excellent
5.1%
Tragic
5.3%
Seniors > 75
Tragic
10.1%
Tragic
9.0%
Women w/ Children < 6
Tragic
8.4%
Good
7.5%
Women w/ Children 6 to 17
Tragic
9.6%
Tragic
9.2%
Women w/ Children < 18
Excellent
5.3%
Poor
5.6%

White/Caucasian vs Peruvian Labor Participation

When considering labor participation, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 34.6%, a difference of 19.4%), in labor force | age > 16 (63.6% compared to 66.3%, a difference of 4.2%), and in labor force | age 20-24 (76.9% compared to 74.5%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.2% compared to 84.7%, a difference of 0.66%), in labor force | age 30-34 (83.9% compared to 84.8%, a difference of 1.1%), and in labor force | age 35-44 (83.6% compared to 84.9%, a difference of 1.5%).
White/Caucasian vs Peruvian Labor Participation
Labor Participation MetricWhite/CaucasianPeruvian
In Labor Force | Age > 16
Tragic
63.6%
Exceptional
66.3%
In Labor Force | Age 20-64
Tragic
78.5%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
41.3%
Tragic
34.6%
In Labor Force | Age 20-24
Exceptional
76.9%
Poor
74.5%
In Labor Force | Age 25-29
Tragic
84.2%
Good
84.7%
In Labor Force | Age 30-34
Tragic
83.9%
Good
84.8%
In Labor Force | Age 35-44
Tragic
83.6%
Exceptional
84.9%
In Labor Force | Age 45-54
Tragic
81.9%
Exceptional
83.6%

White/Caucasian vs Peruvian Family Structure

When considering family structure, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in single mother households (6.1% compared to 6.5%, a difference of 7.0%), divorced or separated (12.6% compared to 11.9%, a difference of 6.0%), and family households with children (27.4% compared to 29.0%, a difference of 5.6%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.4%, a difference of 0.43%), married-couple households (48.6% compared to 47.6%, a difference of 2.0%), and family households (65.1% compared to 67.1%, a difference of 3.1%).
White/Caucasian vs Peruvian Family Structure
Family Structure MetricWhite/CaucasianPeruvian
Family Households
Exceptional
65.1%
Exceptional
67.1%
Family Households with Children
Average
27.4%
Exceptional
29.0%
Married-couple Households
Exceptional
48.6%
Exceptional
47.6%
Average Family Size
Tragic
3.14
Exceptional
3.30
Single Father Households
Fair
2.4%
Fair
2.4%
Single Mother Households
Good
6.1%
Fair
6.5%
Currently Married
Exceptional
48.6%
Average
46.6%
Divorced or Separated
Tragic
12.6%
Excellent
11.9%
Births to Unmarried Women
Poor
33.3%
Average
31.5%

White/Caucasian vs Peruvian Vehicle Availability

When considering vehicle availability, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in no vehicles in household (7.0% compared to 11.2%, a difference of 59.9%), 3 or more vehicles in household (22.6% compared to 19.6%, a difference of 15.0%), and 4 or more vehicles in household (7.4% compared to 6.5%, a difference of 14.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 88.8%, a difference of 4.8%), 2 or more vehicles in household (60.8% compared to 55.0%, a difference of 10.6%), and 4 or more vehicles in household (7.4% compared to 6.5%, a difference of 14.1%).
White/Caucasian vs Peruvian Vehicle Availability
Vehicle Availability MetricWhite/CaucasianPeruvian
No Vehicles Available
Exceptional
7.0%
Tragic
11.2%
1+ Vehicles Available
Exceptional
93.1%
Tragic
88.8%
2+ Vehicles Available
Exceptional
60.8%
Fair
55.0%
3+ Vehicles Available
Exceptional
22.6%
Average
19.6%
4+ Vehicles Available
Exceptional
7.4%
Good
6.5%

White/Caucasian vs Peruvian Education Level

When considering education level, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in no schooling completed (1.6% compared to 2.4%, a difference of 46.5%), master's degree (13.8% compared to 15.3%, a difference of 10.7%), and professional degree (4.1% compared to 4.5%, a difference of 10.6%). Conversely, both communities are more comparable in terms of college, under 1 year (64.0% compared to 64.1%, a difference of 0.090%), nursery school (98.5% compared to 97.6%, a difference of 0.83%), and kindergarten (98.4% compared to 97.6%, a difference of 0.84%).
White/Caucasian vs Peruvian Education Level
Education Level MetricWhite/CaucasianPeruvian
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
97.9%
Tragic
96.8%
6th Grade
Exceptional
97.7%
Tragic
96.4%
7th Grade
Exceptional
97.0%
Tragic
95.1%
8th Grade
Exceptional
96.7%
Tragic
94.7%
9th Grade
Exceptional
95.8%
Tragic
93.8%
10th Grade
Exceptional
94.7%
Tragic
92.6%
11th Grade
Exceptional
93.3%
Tragic
91.5%
12th Grade, No Diploma
Exceptional
91.8%
Tragic
90.2%
High School Diploma
Exceptional
90.1%
Tragic
87.8%
GED/Equivalency
Good
86.2%
Tragic
84.7%
College, Under 1 year
Poor
64.0%
Poor
64.1%
College, 1 year or more
Tragic
57.6%
Fair
58.6%
Associate's Degree
Tragic
44.2%
Average
46.4%
Bachelor's Degree
Tragic
35.3%
Good
38.3%
Master's Degree
Tragic
13.8%
Good
15.3%
Professional Degree
Poor
4.1%
Good
4.5%
Doctorate Degree
Fair
1.8%
Fair
1.8%

White/Caucasian vs Peruvian Disability

When considering disability, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in hearing disability (3.7% compared to 2.7%, a difference of 34.9%), disability age under 5 (1.7% compared to 1.3%, a difference of 32.4%), and disability age 35 to 64 (12.6% compared to 9.9%, a difference of 28.1%). Conversely, both communities are more comparable in terms of disability age over 75 (47.3% compared to 46.8%, a difference of 1.1%), cognitive disability (17.0% compared to 16.7%, a difference of 1.8%), and self-care disability (2.6% compared to 2.4%, a difference of 6.6%).
White/Caucasian vs Peruvian Disability
Disability MetricWhite/CaucasianPeruvian
Disability
Tragic
13.0%
Exceptional
10.9%
Males
Tragic
12.8%
Exceptional
10.4%
Females
Tragic
13.2%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.7%
Fair
1.3%
Age | 5 to 17 years
Tragic
6.2%
Exceptional
5.3%
Age | 18 to 34 years
Tragic
7.6%
Exceptional
6.0%
Age | 35 to 64 years
Tragic
12.6%
Exceptional
9.9%
Age | 65 to 74 years
Tragic
24.2%
Exceptional
22.2%
Age | Over 75 years
Average
47.3%
Excellent
46.8%
Vision
Tragic
2.4%
Exceptional
2.1%
Hearing
Tragic
3.7%
Exceptional
2.7%
Cognitive
Exceptional
17.0%
Exceptional
16.7%
Ambulatory
Tragic
6.7%
Exceptional
5.7%
Self-Care
Tragic
2.6%
Exceptional
2.4%